After 1990 CPH-5 reports were published, the Census

Bureau discovered that data in this report series on weeks

worked in 1989 and usual hours worked per week in 1989

(Tables 5 and 6) and on mobility and self-care limitations

(Tables 7 and 8) were incorrect. Corrected versions of

Tables 5, 6, 7, and 8, which were published after the errors

were discovered, are shown in this report.

U.S. Census Bureau
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1990 CPH-5-33

1990 Census of

Population and Housing

Summary Social, Economic,

and Housing Characteristics

New Mexico

U.S. Department of Commerce

Economics and Statistics Administration

BUREAU OF THE CENSUS
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The Decennial Planning Division, Susan M. Miskura, Chief, coordinated

and directed all census operations. Patricia A. Berman, Assistant Division

Chief for Content and Data Products, directed the development and

implementation of the 1990 Census Tabulation and Publication Program.

Other assistant division chiefs were Robert R. Bair, Rachel F. Brown,

James L. Dinwiddie, Allan A. Stephenson, and Edwin B. Wagner, Jr.

The following branch chiefs made significant contributions: Cheryl R.

Landman, Adolfo L. Paez, A. Edward Pike, and William A. Starr. Other

important contributors were Linda S. Brudvig, Cindy S. Easton, Avis L.

Foote, Carolyn R. Hay, Douglas M. Lee, Gloria J. Porter, and A. Nishea

Quash.

The Decennial Operations Division, Arnold A. Jackson, Chief, was

responsible for processing and tabulating census data. Assistant division

chiefs were: Donald R. Dalzell, Kenneth A. Riccini, Billy E. Stark, and

James E. Steed. Processing offices were managed by Alfred Cruz, Jr.,

Earle B. Knapp, Jr., Judith N. Petty, Mark M. Taylor, Russell L.

Valentine, Jr., Carol A. Van Horn, and C. Kemble Worley. The following

branch chiefs made significant contributions: Jonathan G. Ankers,

Sharron S. Baucom, Catharine W. Burt, Vickie L. Cotton, Robert J.

Hemmig, George H. McLaughlin, Carol M. Miller, Lorraine D. Neece,

Peggy S. Payne, William L. Peil, Cotty A. Smith, Dennis W. Stoudt, and

Richard R. Warren. Other important contributors were Eleanor I. Banks,

Miriam R. Barton, Danny L. Burkhead, J. Kenneth Butler, Jr., Albert A.

Csellar, Donald H. Danbury, Judith A. Dawson, Donald R. Dwyer,

Beverly B. Fransen, Katherine H. Gilbert, Lynn A. Hollabaugh, Ellen B.

Katzoff, Randy M. Klear, Norman W. Larsen, Peter J. Long, Sue Love,

Patricia O. Madson, Mark J. Matsko, John R. Murphy, Dan E. Philipp,

Eugene M. Rashlich, Willie T. Robertson, Barbara A. Rosen, Sharon A.

Schoch, Imelda B. Severdia, Diane J. Simmons, Emmett F. Spiers,

Johanne M. Stovall, M. Lisa Sylla, and Jess D. Thompson.

The Housing and Household Economic Statistics Division, Daniel H.

Weinberg, Chief, developed the questionnaire content, designed the data

tabulations, and reviewed the data for the economic and housing characteristics. Gordon W. Green, Jr., Assistant Division Chief for Economic

Characteristics, and Leonard J. Norry, Assistant Division Chief for Housing Characteristics, directed the development of this work. The following

branch chiefs made significant contributions: William A. Downs, Peter J.

Fronczek, Patricia A. Johnson, Enrique J. Lamas, Charles T. Nelson,

and Thomas S. Scopp. Other important contributors were Eleanor

F. Baugher, Jeanne C. Benetti, Robert L. Bennefield, Robert W.

Bonnette, William S. Chapin, Higinio Feliciano, Timothy S. Grall,

Cynthia J. Harpine, Selwyn Jones, Mary C. Kirk, Richard G. Kreinsen,

Gordon H. Lester, Mark S. Littman, Wilfred T. Masumura, John M.

McNeil, Diane C. Murphy, George F. Patterson, Thomas J. Palumbo,

Kirby G. Posey, John Priebe, Anne D. Smoler, and Carmina F. Young.

The Population Division, Paula J. Schneider, Chief, developed the

questionnaire content, designed the data tabulations, and reviewed the

data for the demographic and social characteristics of the population.

Philip N. Fulton, Assistant Division Chief for Census Programs, directed

the development of this work. Other assistant division chiefs were

Nampeo R. McKenney and Arthur J. Norton. The following branch and

staff chiefs made significant contributions: Jorge H. del Pinal, Campbell J.

Gibson, Roderick J. Harrison, Donald J. Hernandez, Jane H. Ingold,

Martin T. O’Connell, Marie Pees, J. Gregory Robinson, Phillip A.

Salopek, Paul M. Siegel, Robert C. Speaker, Gregory K. Spencer, and

Cynthia M. Taeuber. Other important contributors were Celia G. Boertlein,

Rosalind R. Bruno, Janice A. Costanzo, Rosemarie C. Cowan, Arthur

R. Cresce, Larry G. Curran, Carmen DeNavas, Robert O. Grymes,

Kristin A. Hansen, Mary C. Hawkins, Rodger V. Johnson, Michael J.

Levin, Edna L. Paisano, Sherry B. Pollock, Stanley J. Rolark, A. Dianne

Schmidley, Denise I. Smith, and Nancy L. Sweet.

The Data User Services Division, Gerard C. Iannelli, then Chief,

directed the development of data product dissemination and information to

increase awareness, understanding, and use of census data. Marie G.

Argana, Assistant Chief for Data User Services, directed preparation of

electronic data products and their dissemination. Alfonso E. Mirabal,

Assistant Chief for Group Information and Advisory Services, directed

activities related to the National Services Program, State Data Centers, and

preparation of training materials. The following branch chiefs made significant contributions: Deborah D. Barrett, Frederick G. Bohme, Larry W.

Carbaugh, James P. Curry, Samuel H. Johnson, John C. Kavaliunas,

and Forrest B. Williams. Other important contributors were Molly

Abramowitz, Celestin J. Aguigui, Barbara J. Aldrich, Delores A.

Baldwin, Albert R. Barros, Geneva A. Burns, Carmen D. Campbell,

James R. Clark, Virginia L. Collins, George H. Dailey, Jr., Barbara L.

Hatchl, Theresa C. Johnson, Paul T. Manka, John D. McCall, Jo Ann

Norris, David M. Pemberton, Sarabeth Rodriguez, Charles J. Wade,

Joyce J. Ware, and Gary M. Young.

The Geography Division, Robert W. Marx, Chief, directed and coordinated the census mapping and geographic activities. Jack R. George,

Assistant Division Chief for Geoprocessing, directed the planning and

development of the TIGER System and related software. Robert A.

LaMacchia, Assistant Division Chief for Planning, directed the planning

and implementation of processes for defining 1990 census geographic

areas. Silla G. Tomasi, Assistant Division Chief for Operations, managed

the planning and implementation of 1990 census mapping applications

using the TIGER System. The following branch chiefs made significant

contributions: Frederick R. Broome, Charles E. Dingman, Linda M.

Franz, David E. Galdi, Dan N. Harding, Donald I. Hirschfeld, David B.

Meixler, Peter Rosenson, Joel Sobel, Brian Swanhart, and Richard

Trois. Other important contributors were Gerard Boudriault,

Desmond J. Carron, Anthony W. Costanzo, Paul W. Daisey,

Beverly A. Davis, Carl S. Hantman, Christine J. Kinnear, Terence D.

McDowell, Linda M. Pike, Rose J. A. Quarato, Lourdes Ramirez,

Gavin H. Shaw, Daniel L. Sweeney, Timothy F. Trainor, Phyllis S.

Willette, and Walter E. Yergen.

The Statistical Support Division, John H. Thompson, Chief, directed

the application of mathematical statistical techniques in the design and

conduct of the census. John S. Linebarger, Assistant Division Chief for

Quality Assurance, directed the development and implementation of

operational and software quality assurance. Henry F. Woltman, Assistant Division Chief for Census Design, directed the development and

implementation of sample design, disclosure avoidance, weighting, and

variance estimation. Howard Hogan and David V. Bateman were

contributing assistant division chiefs. The following branch chiefs made

significant contributions: Florence H. Abramson, Deborah H. Griffin,

Richard A. Griffin, Lawrence I. Iskow, and Michael L. Mersch. Other

important contributors were Linda A. Flores-Baez, Larry M. Bates,

Somonica L. Green, James E. Hartman, Steven D. Jarvis, Alfredo

Navarro, Eric L. Schindler, Carolyn T. Swan, and Glenn D. White.

The 1990 Census Redistricting Data Office, Marshall L. Turner, Jr.,

Chief, assisted by Cathy L. Talbert, directed the development and

implementation of the 1990 Census Redistricting Data Program.

The Administrative and Publications Services Division, Walter C.

Odom, Chief, provided direction for the census administrative services,

publications, printing, and graphics functions. Michael G. Garland was a

contributing assistant division chief. The following branch and staff chiefs

made significant contributions: Bernard E. Baymler, Albert W. Cosner,

Gary J. Lauffer, Gerald A. Mann, Clement B. Nettles, Russell Price,

and Barbara J. Stanard. Other important contributors were Barbara M.

Abbott, Robert J. Brown, David M. Coontz, and John T. Overby.

The Data Preparation Division, Joseph S. Harris, Chief, provided

management of a multi-operational facility including kit preparation,

procurement, warehousing and supply, and census processing activities.

Plummer Alston, Jr., and Patricia M. Clark were assistant division

chiefs.

The Field Division, Stanley D. Matchett, Chief, directed the census

data collection and associated field operations. Richard L. Bitzer,

Richard F. Blass, Karl K. Kindel, and John W. Marshall were assistant

division chiefs. Regional office directors were William F. Adams, John E.

Bell, LaVerne Collins, Dwight P. Dean, Arthur G. Dukakis, Sheila H.

Grimm, William F. Hill, James F. Holmes, Stanley D. Moore, Marvin L.

Postma, John E. Reeder, and Leo C. Schilling.

The Personnel Division, David P. Warner, Chief, provided management direction and guidance to the staffing, planning pay systems, and

employee relations programs for the census. Colleen A. Woodard was

the assistant chief.

The Technical Services Division, C. Thomas DiNenna, Chief, designed,

developed, deployed, and produced automated technology for census

data processing.

ACKNOWLEDGMENTS
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1990 CPH-5-33

1990 Census of

Population and Housing

Summary Social, Economic,

and Housing Characteristics

New Mexico

U.S. Department of Commerce

Barbara Hackman Franklin, Secretary

Rockwell A. Schnabel, Deputy Secretary

Economics and Statistics Administration

Mark W. Plant, Acting Under Secretary

for Economic Affairs and Administrator

BUREAU OF THE CENSUS

Barbara Everitt Bryant, Director
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BUREAU OF THE CENSUS

Barbara Everitt Bryant, Director

C.L. Kincannon, Deputy Director

Charles D. Jones, Associate Director for

Decennial Census

William P. Butz, Associate Director for

Demographic Programs

Bryant Benton, Associate Director for

Field Operations

Bryant Benton, Acting Associate Director for

Management Services

Peter A. Bounpane, Assistant Director for

Decennial Census

Economics and Statistics

Administration

Mark W. Plant, Acting Under Secretary

for Economic Affairs and Administrator

For sale by the Superintendent of Documents, U.S. Government Printing Office,

Washington, DC 20402.
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List of Statistical Tables ---------------------------------------------------------------------------------------------------- iv

How to Use This Census Report------------------------------------------------------------------------------------------- I–1

Table Finding Guide--------------------------------------------------------------------------------------------------------- II–1

User Notes ------------------------------------------------------------------------------------------------------------------ III–1

Statistical Tables (For detailed list of statistical tables, see page iv.) --------------------------------------------------- 1

APPENDIXES

A. Area Classifications ----------------------------------------------------------------------------------------------------- A–1

B. Definitions of Subject Characteristics ---------------------------------------------------------------------------------- B–1

C. Accuracy of the Data---------------------------------------------------------------------------------------------------- C–1

D. Collection and Processing Procedures--------------------------------------------------------------------------------- D–1

E. Facsimiles of Respondent Instructions and Questionnaire Pages --------------------------------------------------- E–1

F. Data Products and User Assistance ----------------------------------------------------------------------------------- F–1

G. Maps --------------------------------------------------------------------------------------------------------------------- G–1

CONTENTS

Page

CONTENTS iii
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LIST OF STATISTICAL TABLES

[An asterisk (*) indicates that the table was omitted because there were no qualifying geographic area(s) or population group(s)]

Table Page

1. Selected Social Characteristics:

1990 1

State

County

County Subdivision

Place

2. Selected Social Characteristics:

1990 7

State

County

Place and [In Selected States]

County Subdivision

3. Education and Veteran Status: 1990 11

State

County

County Subdivision

Place

4. Education and Veteran Status: 1990 15

State

County

Place and [In Selected States]

County Subdivision

5. Employment Status and Journey to

Work Characteristics: 1990 18

State

County

County Subdivision

Place

6. Employment Status and Journey to

Work Characteristics: 1990 24

State

County

Place and [In Selected States]

County Subdivision

7. Disability Status: 1990 28

State

County

County Subdivision

Place

8. Disability Status: 1990 32

State

County

Place and [In Selected States]

County Subdivision

Table Page

9. Income and Poverty Status in 1989:

1990 35

State

County

County Subdivision

Place

10. Income and Poverty Status in 1989:

1990 40

State

County

Place and [In Selected States]

County Subdivision

11. Structural, Plumbing, and Equipment

Characteristics: 1990 43

State

County

County Subdivision

Place

12. Structural, Plumbing, and Equipment

Characteristics: 1990 47

State

County

Place and [In Selected States]

County Subdivision

13. Fuels and Equipment

Characteristics: 1990 50

State

County

County Subdivision

Place

14. Fuels and Equipment

Characteristics: 1990 54

State

County

Place and [In Selected States]

County Subdivision

15. Homeowner and Renter

Characteristics: 1990 57

State

County

County Subdivision

Place

16. Homeowner and Renter

Characteristics: 1990 62

State

County

Place and [In Selected States]

County Subdivision

17. Selected Social and Economic

Characteristics for American Indian

and Alaska Native Areas: 1990 65

American Indian Area

County

iv CONTENTS
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Table Page

18. Selected Housing Characteristics for

American Indian and Alaska Native

Areas: 1990 67

American Indian Area

County

19. Percent in Sample, Standard Error,

and Confidence Bounds for

Population Characteristics: 1990 69

State

County

County Subdivision

Place

20. Percent in Sample, Standard Error,

and Confidence Bounds for

Population Characteristics: 1990 73

State

County

Place and [In Selected States]

County Subdivision

Table Page

21. Percent in Sample and Confidence

Bounds for Housing

Characteristics: 1990 76

State

County

County Subdivision

Place

22. Percent in Sample and Confidence

Bounds for Housing

Characteristics: 1990 81

State

County

Place and [In Selected States]

County Subdivision

23. Percent in Sample, Standard Error,

and Confidence Bounds for

American Indian and Alaska Native

Areas: 1990 84

American Indian Area

County

CONTENTS v
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HOW TO USE THIS CENSUS REPORT

CONTENTS

Contents of the Appendixes -------------------------------- I–3

Graphics --------------------------------------------------- I–3

How to Find Geographic Areas and Subject-Matter Data ----- I–1

How to Use the Statistical Tables --------------------------- I–2

User Notes------------------------------------------------- I–3

INTRODUCTION

Data from the 1990 census are presented in several

different report series. These series are published under

the following three subject titles:

1. 1990 Census of Population (1990 CP)

2. 1990 Census of Housing (1990 CH)

3. 1990 Census of Population and Housing (1990 CPH)

The types of data and the geographic areas shown in

reports differ from one series to another. In most series,

there is one report for each State, the District of Columbia,

Puerto Rico, and the Virgin Islands of the United States

(Virgin Islands), plus a United States summary report.

Some series include reports for American Indian and

Alaska Native areas, metropolitan areas, and urbanized

areas. See appendix F for detailed information about the

various report series; additional 1990 census data products such as computer tapes, microfiche, and laser disks;

other related materials; and sources of assistance.

The data from the 1990 census were derived from a

limited number of basic questions asked of the entire

population and about every housing unit (referred to as the

100-percent questions), and from additional questions

asked of a sample of the population and housing units

(referred to as the sample questions). Two primary versions of questionnaires were used: a short form containing

only the 100-percent questions and a long form containing

both the 100-percent questions and the additional sample

questions. Appendix E presents facsimiles of the questionnaire pages and the respondent instructions used to

collect the data included in this report. Appendix F lists the

subjects that are covered by the 100-percent and sample

components of the 1990 census.

Legal provision for this census, which was conducted as

of April 1, 1990, was made in the Act of Congress of

August 31, 1954 (amended August 1957, December 1975,

and October 1976), which is codified in Title 13, United

States Code.

HOW TO FIND GEOGRAPHIC AREAS AND

SUBJECT-MATTER DATA

This report includes a table finding guide to assist the

user in locating those statistical tables that contain the

data that are needed. The table finding guide lists alphabetically, by geographic area, the subjects shown in this

report. To determine which tables in this report show data

for a particular topic, find the subject in the left-hand

column of the table finding guide and then look across the

columns using the headings at the top for the desired type

of geographic area. Below is an example of a table finding

guide.

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Tables identified in the table finding guide with a reference letter in parentheses after the table number present

characteristics for racial groups or persons of Hispanic

origin. The tables without reference letters contain data for

the total population only. The table finding guide does not

include cross-classifications of subject-matter items, nor

does it distinguish among tables presenting data for all

persons or housing units and tables presenting data for

subgroups (for example, persons under 18 years or renteroccupied housing units) unless it is necessary to locate the

subject.

Additional information to locate data within specific

reports often is provided in the headnote at the top of the

table finding guide and in the footnotes at the bottom of the

guide.

HOW TO USE THE STATISTICAL TABLES

Parts of a Statistical Table

The census data included in printed reports are arranged

in tables. Each table includes four major parts: (1) heading,

(2) boxhead, (3) stub, and (4) data field.

A typical census report table is illustrated below.

The heading consists of the table number, title, and

headnote. The table number indicates the position of the

table within the report, while the title is a brief statement

indicating the classification, nature, and time reference of

the data presented in the table. The headnote is enclosed

in brackets and is located under the title. It contains

statements that qualify, explain, or provide information

pertaining to the entire table. In some tables showing racial

and Hispanic origin groups, the headnote includes information that data are presented only when certain populationsize criteria (thresholds) are met. (For more information on

thresholds, see the ‘‘User Notes’’ section.)

The boxhead is under the heading. This portion of the

table, which contains the individual column heads or

captions, describes the data in each vertical column. In the

boxhead of many tables, a spanner appears across and

above two or more column heads or across two or more

lower spanners. The purpose of a spanner is to classify or

qualify items below it or separate the table into identifiable

blocks in terms of major aspects of the data.

The stub is located at the left edge of the table. It

includes a listing of line or row captions or descriptions. At

the top of the stub is the stubhead. The stubhead is

considered to be an extension of the table title and usually

shows generic geographic area designations and restrictions.

In the stub, several features are used to help the user

better understand the contents of the table. Usually, a

block of data lines is preceded by a sidehead. The

sidehead, similar to a spanner, describes and classifies the

stub entries following it. The use of indentation in a stub

indicates the relationship of one data line to another.

Indented data lines represent subcategories that in most

instances, sum to a total. Occasionally in tables, it is

desirable to show one or more single-line subcategories

that do not sum to the total. The unit of measure, such as

dollars, is shown when it is not clear from the general

wording of the data line.

The data field is that part of the table that contains the

data. It extends from the bottom of the boxhead to the

bottom of the table and from the right of the stub to the

right-hand edge of the page.

Both geographic and subject-matter terms appear in

tables. It is important to read the definitions of the terms

used in the tables because census terms often are defined

in special ways that reflect the manner in which the

questions were asked and the data were tabulated. Definitions of geographic terms are provided in appendix A.

Subject-matter terms are defined in appendix B.

Symbols and Geographic Abbreviations

The following symbols are used in the tables and

explanations of subjects covered in this report:

• A dash ‘‘-’’ represents zero or a percent that rounds to

less than 0.1.

• Three dots ‘‘...’’ mean not applicable.

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• (NA) means not available.

• The prefix ‘‘r’’ indicates that the count has been revised

since publication of 1980 reports or that the area was

erroneously omitted or not shown in the correct geographic relationship in the 1980 census reports. This

symbol appears only in the 1990 CPH-2, Population and

Housing Unit Counts reports.

• A dagger ‘‘†’’ next to the name of a geographic area

indicates that there has been a geographic change(s)

(for example, an annexation or detachment, a new

incorporation, or a name change) since the information

published for the 1980 census for that area. This symbol

appears only in the 1990 CPH-2, Population and Housing Unit Counts reports. The geographic change information for the entities in a State is shown in the ‘‘User

Notes’’ section of 1990 CPH-2, Population and Housing

Unit Counts report, for that State. The information for all

States appears in the ‘‘User Notes’’ section of the

technical documentation for Summary Tape Files 1

and 3.

• A plus sign ‘‘+ ’’ or a minus sign ‘‘–’’ following a figure

denotes that the median falls in the initial or terminal

category of an open-ended distribution. (For more information on medians, see the discussion under ‘‘Derived

Measures’’ in appendix B.)

• A minus sign ‘‘–’’ preceding a figure denotes decrease.

The following geographic abbreviations are used in the

tables and explanations of subjects covered in this report:

• A ‘‘(pt.)’’ next to the name of a geographic area in a

hierarchical presentation indicates that the geographic

entity is only partially located in the superior geographic

entity. For example, a ‘‘(pt.)’’ next to a place name in a

county subdivision-place hierarchy indicates that the

place is located in more than one county subdivision.

(Places also may be ‘‘split’’ by county, congressional

district, urban/ rural, metropolitan area, voting district,

and other geographic boundaries, depending on the

presentation.) Other geographic entities also can be‘‘split’’

by a higher-level entity. The exception is a tabulation

block, which is unique within all geographic entities in

census products.

• BG is block group.

• BNA is block numbering area.

• CDP is census designated place.

• CMSA is consolidated metropolitan statistical area.

• MA is metropolitan area.

• MSA is metropolitan statistical area.

• PMSA is primary metropolitan statistical area.

• TDSA is tribal designated statistical area.

• TJSA is tribal jurisdiction statistical area.

• unorg. is unorganized territory.

• VTD is voting district.

Census tables often include derived measures such as

medians, means, percents, and ratios. More detailed information about derived measures is provided in appendix B.

GRAPHICS

Charts, statistical maps, and other graphic summaries

are included in some 1990 census reports. If graphics are

shown in a report, they are presented immediately after the

‘‘User Notes’’ section.

USER NOTES

User notes include corrections, errata, and related

explanatory information. This section appears directly before

the statistical tables in census reports unless graphics are

shown. It presents information about unique characteristics of the report and changes or corrections made too late

to be reflected in the text or tables themselves.

CONTENTS OF THE APPENDIXES

Appendix A—Provides definitions of the types of geographic areas and related information used in census

reports.

Appendix B—Contains definitions for the subject-matter

items used in census reports, including explanations of

derived measures, limitations of the data, and comparability with previous censuses. The subjects are listed alphabetically. In reports that contain both population and

housing characteristics, the population characteristics are

described first, followed by the explanations of the housing

subjects.

Appendix C—Provides information on confidentiality of

the data, allocations and substitutions, and sources of

errors in the data.

Appendix D—Explains the residence rules used in counting the population and housing units, presents a brief

overview of data collection operations, and describes

processing procedures used to convert data from unedited

questionnaires to final 1990 publications and tapes. This

appendix also clarifies the procedures used to collect data

for persons abroad at the time of the census, where

persons on military bases or away at school were counted,

how data were collected for persons in institutions, and

which citizens of foreign countries were included in the

U.S. data.

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Appendix E—Presents a facsimile of the 1990 census

questionnaire pages and the respondent instructions used

to collect the data in this report.

Appendix F—Summarizes the 1990 census data products

program by describing the information available in printed

reports and in other sources, such as microfiche or computer tape; and provides information on where to obtain

assistance.

Appendix G—Contains maps depicting the geographic

areas shown in this report.

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TABLE FINDING GUIDE

Subjects by Type of Geographic Area and Table Number

[Subjects covered in this report are shown on the left side, and types of geographic areas are shown at the top. For a description of area classifications, see appendix A. For definitions and explanations of subject characteristics, see appendix B]

Subject

The State County

Place County subdivision American

Indian

and

Alaska

Native

area

By county

and county

subdivision

Alphabetically for

the State By county

Alphabetically for

the State1

POPULATION CHARACTERISTICS

Disability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,8 7,8 7 8 7 8 ...

Educational attainment . . . . . . . . . . . . . . . . . . . 3,4 3,4 3 4 3 4 17

Family type and presence of own children . . 1,2 1,2 1 2 1 2 ...

Income in 1989. . . . . . . . . . . . . . . . . . . . . . . . . . 9,10 9,10 9 10 9 10 17

Labor force status . . . . . . . . . . . . . . . . . . . . . . . 5,6 5,6 5 6 5 6 17

For persons 16 to 19 years by school

enrollment and educational attainment . . 3,4 3,4 3 4 3 4 17

Labor force status in 1989—

Weeks and hours worked . . . . . . . . . . . . . . . 5,6 5,6 5 6 5 6 ...

Language spoken at home and ability to

speak English . . . . . . . . . . . . . . . . . . . . . . . . . . 1,2 1,2 1 2 1 2 ...

Means of transportation to work . . . . . . . . . . . 5,6 5,6 5 6 5 6 ...

Nativity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,2 1,2 1 2 1 2 ...

Place of birth. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,2 1,2 1 2 1 2 ...

Poverty status in 1989. . . . . . . . . . . . . . . . . . . . 9,10 9,10 9 10 9 10 17

Residence in 1985 . . . . . . . . . . . . . . . . . . . . . . 1,2 1,2 1 2 1 2 ...

School enrollment and type of school . . . . . . 3,4 3,4 3 4 3 4 17

Veteran status . . . . . . . . . . . . . . . . . . . . . . . . . . 3,4 3,4 3 4 3 4 ...

HOUSING CHARACTERISTICS

Bedrooms. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,12 11,12 11 12 11 12 ...

Condominium . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,12 11,12 11 12 11 12 ...

Gross rent . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,16 15,16 15 16 15 16 18

House heating fuel . . . . . . . . . . . . . . . . . . . . . . 13,14 13,14 13 14 13 14 ...

Kitchen facilities . . . . . . . . . . . . . . . . . . . . . . . . . 11,12 11,12 11 12 11 12 ...

Mortgage status and selected monthly

owner costs . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,16 15,16 15 16 15 16 18

Plumbing facilities. . . . . . . . . . . . . . . . . . . . . . . . 11,12 11,12 11 12 11 12 18

Sewage disposal. . . . . . . . . . . . . . . . . . . . . . . . . 11,12 11,12 11 12 11 12 ...

Source of water . . . . . . . . . . . . . . . . . . . . . . . . . 11,12 11,12 11 12 11 12 ...

Telephone in unit . . . . . . . . . . . . . . . . . . . . . . . . 13,14 13,14 13 14 13 14 ...

Tenure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,16 15,16 15 16 15 16 18

Vehicles available. . . . . . . . . . . . . . . . . . . . . . . . 13,14 13,14 13 14 13 14 18

Year householder moved into unit . . . . . . . . . 15,16 15,16 15 16 15 16 ...

Year structure built. . . . . . . . . . . . . . . . . . . . . . . 11,12 11,12 11 12 11 12 ...

... Not applicable for this report.

1

County subdivisions within the State are shown alphabetically with places only in the reports for the following 12 States: Connecticut, Maine,

Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, and Wisconsin.

TABLE FINDING GUIDE II–1
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USER NOTES

Additional information concerning this 1990 census

product may be available at a later date. If you wish to

receive these User Notes, contact:

Data User Services Division

Customer Services

Bureau of the Census

Washington, DC 20233

301-763-4100

Questions concerning the content of this report may be

directed to:

Housing and Household Economic Statistics Division

Bureau of the Census

Washington, DC 20233

Population Division

Bureau of the Census

Washington, DC 20233

ADDITIONAL DEFINITIONS AND EXPLANATIONS OF DATA

GENERAL

User Note 1

Age Reporting—Review of detailed 1990 information

indicated that respondents tended to provide their age as

of the date of completion of the questionnaire, not their

age on April 1, 1990. In addition, there may have been a

tendency for respondents to round up their age if they were

close to having a birthday. It is likely that approximately 10

percent of persons in most age groups are actually 1 year

younger. For most single years of age, the misstatements

are largely offsetting. The problem is most pronounced at

age 0 because persons lost to age 1 may not have been

fully offset by the inclusion of babies born after April 1,

1990, and because there may have been more rounding up

to age 1 to avoid reporting age as 0 years. (Age in

completed months was not collected for infants under

age 1.)

The reporting of age 1 year older than age on April 1,

1990, is likely to have been greater in areas where the

census data were collected later in 1990. The magnitude

of this problem was much less in the three previous

censuses where age was typically derived from respondent data on year of birth and quarter of birth. (For more

information on the design of the age question, see the

discussion on comparability under ‘‘Age’’ in appendix B.)

User Note 2

The user should note that there are limitations to many

of these data. Please refer to the text provided with this

report for further explanations on the limitations of the

data.

User Note 3

The data shown in selected products for persons enumerated in ‘‘visible in street locations’’ are incorrect and

should not be used. Only the 100-percent data shown in

data products, such as Summary Tape Files (STF’s) 1 and

2 and in the 1990 CP-1, General Population Characteristics

State reports should be used for persons enumerated at

‘‘visible in street locations.’’

During ‘‘Shelter and Street Night Enumeration,’’ all

visible persons on the streets were asked only the basic

100-percent population questions (age, sex, marital status,

race, and Hispanic origin).

During census processing of sample data, information

from the long-form questionnaire was inadvertently assigned

to a very small percentage of the visible in street population.

User Note 4

The estimated population totals for persons in group

quarters, specifically by group quarters type, that are

based on census sample tabulations may differ from

comparable figures shown in 100-percent tabulations. Such

differences result, in part, from sampling variability which

occurs because information was obtained from a sample

of the population rather than from all persons. Differences

also occur because of nonsampling errors which affect the

100-percent and sample data. Examples of nonsampling

errors include respondent and enumerator errors, processing errors, and nonresponse.

The 100-percent data are the official counts and should

be used as the source for data on group quarters type

when the primary focus is on counts of the population in

group quarters, especially for small areas such as census

tracts/ BNA’s or blocks. When the group quarters population is shown by characteristics covered only on a sample

USER NOTES III–1
 JOBNAME: No Job Name PAGE: 2 SESS: 6 OUTPUT: Wed Apr 22 12:59:35 1992 / node2/ F main F / 90dec/ cph5/ 0/ usernote

basis (for example, education, labor force status, income,

etc.), the sample figures should be used within the context

of the sampling variability associated with them.

For more information on the limitations of 100-percent

and sample data for persons in group quarters and the

classification of group quarters type, see appendix B.

Reasons for the differences between 100-percent and

sample totals will be an important focus of post-census

research and evaluation.

User Note 5

Estimated population and housing unit totals based on

tabulations from only the sample questionnaires (sample

tabulations) may differ from the official counts as tabulated

from every census questionnaire (100-percent tabulations).

Such differences result, in part, because the sample

tabulations are based on information from a sample of

households rather than from all households (sampling

error). Differences also can occur because the interview

situation (length of questionnaire, effect of the interviewer,

etc.) and the processing rules differ between the 100-

percent and sample tabulations. These types of differences are referred to as nonsampling errors. (For more

information on nonsampling error, see appendix C.)

The 100-percent data are the official counts and should

be used as the source of information on population and

housing items collected on the 100-percent questionnaire,

such as age, race, Hispanic origin, number of rooms, and

tenure. This is especially appropriate when the primary

focus is on counts of the population or housing units for

small areas such as census tracts/ BNA’s, block groups,

and for American Indian and Alaska Native areas. For

estimates of counts of persons and housing units by

characteristics asked only on a sample basis (such as

education, labor force status, income, and source of

water), the sample estimates should be used within the

context of the error associated with them.

Many users are interested in tabulations of items collected on the sample cross-classified by items collected on

a 100-percent basis such as age, race, sex, Hispanic

origin, and housing units by tenure. Given the way the

weights were applied during sample tabulations, generally,

there is exact agreement between sample estimates and

100-percent counts for total population and total housing

units for most geographic areas. At the State level and

higher geographic levels, sample estimates and 100-percent

counts for population by age, sex, race, and Hispanic origin

and for housing units by tenure, number of rooms and so

on would be reasonably similar and, in some cases, the

same.

At smaller geographic levels, including census tract/

BNA, there is still general agreement between 100-percent

counts and sample estimates of total population or housing units. At smaller geographic levels, however, there will

be expected differences between sample estimates and

100-percent counts for population by age, sex, race, and

Hispanic origin and for housing units by tenure, number of

rooms and so on. In these cases, users may want to

consider using derived measures (such as means and

medians) or percent distributions. Whether using absolute

numbers or derived measures for small population groups

and for a small number of housing units in small geographic areas, users should be cautioned that the sampling

error associated with these data may be large.

Even though the differences between sample estimates

and 100-percent counts for these categories are generally

small, the differences for the American Indian, as well as

the Hispanic origin populations, are relatively larger than

for other groups. The following provides some explanation

for these differences.

State-level sample estimates of the number of American Indians are generally higher than the corresponding

100-percent counts. It appears the differences are primarily the result of proportionately higher reporting of ‘‘Cherokee’’ tribe on sample questionnaires. This phenomenon

occurs primarily in off-reservation areas. The reasons for

the greater reporting of Cherokee on sample forms are not

fully known at this time. The Census Bureau will do

research to provide more information on this phenomenon.

For the Hispanic origin population, sample estimates at

the State level are generally lower than the corresponding

100-percent counts. The majority of difference is caused

by the 100-percent and sample processing of the Hispanic

question on the sample questionnaire when the respondent did not mark any response category. When processing

the sample, we used written entries in race or Hispanic

origin as well as responses to questions only asked on the

sample, such as ancestry and place of birth. These procedures led to a lower proportion of persons being assigned

as Hispanic in sample processing than were assigned

during 100-percent processing. The Census Bureau will

evaluate the effectiveness of the 100-percent and sample

procedures.

As in previous censuses, the Census Bureau will evaluate the quality of the data and make this information

available to data users. In the meanwhile, both 100-

percent and sample data serve very important purposes

and, therefore, should be used within the limitations of the

sampling and nonsampling errors.

User Note 6

Data presented in tables 15 and 16 for ‘‘Median selected

monthly owner costs as a percentage of household income

in 1989’’ (With a mortgage), ‘‘Median selected monthly

owner costs as a percentage of household income in

1989’’ (Not mortgaged), and ‘‘Median gross rent as a

percentage of household income in 1989’’ are inconsistent

with the explanations for derived measures in appendix B.

Specifically, when the median falls in the lower interval of

the tabulation distribution, the estimated value obtained by

linear interpolation is shown rather than the upper value of

the category followed by a minus sign (-). The lower

interval has an assumed range of 0.0 to 19.9 percent.

III–2 USER NOTES
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User Note 7

The latitude and longitude values shown by tick marks in

the margins of the County Subdivision Outline Maps in

appendix G are approximate. They are shown only for

general reference. They are displayed accurately on the

State and County Outline Maps.

USER NOTES III–3
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TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 1. S

electe

d

S

ocial Characteristics: 1990

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]State CountyCounty SubdivisionPlace

All persons

Native

Persons 5 years and over Persons who speak a language other than English at home

Persons 5 to 17 years Persons 18 years and over

Total

Percent

foreign born Total

Percent born

in State of

residence Total

Percent living

in different

house in

1985 Total

Percent who

do not speak

English " very well" Total

Percent who

do not speak

English " very well" Total

Percent 

own ch

und

The State ------------------- 1 515 069 5.3 1 434 555 54.6 1 390 048 48.2 94 719 35.7 399 280 31.5 394 958 

Bernalillo County ---------------------- 480 577 5.3 455 233 50.5 443 989 52.8 17 471 34.7 104 305 29.4 125 628 

Albuquerque division ----------------- 464 727 5.4 439 632 50.3 429 511 53.2 16 638 34.9 100 788 29.7 121 228 

Albuquerque city (pt.) -------------- 384 736 5.5 363 426 47.8 356 525 54.8 12 469 36.0 77 740 29.6 100 170 Corrales village (pt.) --------------- 549 .7 545 46.1 517 64.0 – – 66 – 175 Los Ranchos de Albuquerque village ---- 3 955 3.3 3 825 50.2 3 755 37.0 97 24.7 773 43.5 1 084 North Valley CDP------------------ 12 507 3.5 12 068 67.8 11 592 41.7 459 19.4 4 021 26.1 3 301 Paradise Hills CDP ----------------- 5 499 3.8 5 290 33.3 5 180 48.3 122 50.0 557 25.1 1 623 Sandia CDP ---------------------- 6 742 4.9 6 412 19.1 5 655 92.4 158 10.1 722 28.1 1 722 Sandia Heights CDP ---------------- 3 519 2.8 3 421 22.3 3 338 60.5 40 20.0 180 16.1 1 125 South Valley CDP------------------ 35 701 6.2 33 505 79.1 32 543 35.3 2 706 36.2 14 032 32.4 9 011 

Bernalillo East division ---------------- 12 475 1.9 12 244 45.5 11 466 48.0 356 48.6 1 775 28.5 3 610 

Tijeras village--------------------- 319 .9 316 56.3 298 51.7 38 57.9 74 23.0 69 

Bernalillo West division --------------- 1 199 .3 1 195 90.0 1 033 9.8 156 31.4 605 12.9 250 

Albuquerque city (pt.) -------------- – ––––––––––

Isleta Pueblo division ----------------- 2 176 .6 2 162 93.3 1 979 15.3 321 13.1 1 137 15.1 540 

Isleta Pueblo CDP (pt.) ------------- 1 355 – 1 355 94.1 1 228 16.6 204 17.2 768 15.4 334 

Catron County ------------------------ 2 563 1.6 2 521 47.6 2 403 48.5 111 – 449 22.9 784 

Quemado division ------------------- 914 – 914 48.0 849 60.1 23 – 128 40.6 304 Reserve division --------------------- 1 649 2.5 1 607 47.3 1 554 42.2 88 – 321 15.9 480 

Reserve village-------------------- 317 – 317 43.5 288 38.9 22 – 63 6.3 97 

Chaves County------------------------ 57 849 7.4 53 553 53.7 53 134 48.6 3 344 29.4 11 712 40.1 15 374 

Dexter division --------------------- 2 038 16.0 1 712 64.0 1 880 49.2 263 36.9 597 58.6 573 

Dexter town --------------------- 898 19.0 727 72.6 815 44.5 171 39.2 326 56.1 243 

Hagerman division ------------------- 2 210 12.5 1 933 67.3 2 027 44.6 287 23.0 750 39.3 573 

Hagerman town------------------- 978 11.8 863 65.7 886 42.3 130 30.0 368 40.5 264 Lake Arthur town ----------------- 319 8.5 292 74.3 286 17.8 39 15.4 119 38.7 85 

Northeast Chaves division ------------- 116 – 116 57.8 103 41.7 – – 20 80.0 40 Northwest Chaves division ------------- 2 388 4.4 2 283 53.0 2 224 34.3 117 30.8 344 42.7 671 

Roswell city (pt.)------------------ 22 – 22 72.7 22 ––––– 6 1

Roswell division --------------------- 45 222 6.5 42 273 52.3 41 523 48.4 2 323 32.4 8 690 40.3 12 053 

Roswell city (pt.)------------------ 43 018 6.5 40 210 52.5 39 492 48.8 2 268 32.8 8 415 40.1 11 427 

Southeast Chaves division ------------- 1 380 14.1 1 186 60.1 1 239 32.8 80 11.3 263 38.4 397 Southwest Chaves division ------------- 4 495 9.9 4 050 55.0 4 138 64.5 274 7.7 1 048 26.9 1 067 

Roswell city (pt.)------------------ 1 614 3.5 1 558 37.0 1 515 82.6 90 10.0 263 26.2 332 

Cibola County ------------------------ 23 794 1.5 23 431 74.8 21 857 37.5 1 501 39.8 8 461 27.9 5 732 

Fence Lake division ------------------ 87 – 87 47.1 87 51.7 – – 16 – 33 Grants division---------------------- 17 637 1.9 17 296 70.5 16 253 42.5 923 33.9 5 729 24.9 4 336 

Acomita Lake CDP ----------------- 269 – 269 95.9 236 30.9 26 34.6 124 38.7 53 Grants city ---------------------- 8 626 1.2 8 519 65.6 7 973 56.2 269 22.7 2 536 18.9 2 223 

Milan village --------------------- 1 911 2.1 1 870 71.2 1 712 35.0 125 34.4 540 22.4 468 

North Acomita Village CDP----------- 308 – 308 90.3 283 22.6 27 55.6 162 14.8 70 Skyline-Ganipa CDP ---------------- 956 – 956 94.7 873 12.6 140 30.7 459 23.7 188 

Laguna division --------------------- 4 218 .4 4 201 87.5 3 924 18.1 208 17.8 1 809 21.7 972 

Laguna CDP---------------------- 449 – 449 86.0 393 26.0 14 – 259 7.3 107 Mesita CDP ---------------------- 656 .3 654 93.3 603 7.1 49 – 325 21.2 146 Paguate CDP --------------------- 543 1.7 534 87.1 483 17.2 – – 191 38.7 136 Paraje CDP ---------------------- 532 – 532 81.6 525 27.8 20 – 199 25.6 118 Seama CDP ---------------------- 398 – 398 73.1 364 13.7 32 6.3 131 15.3 78 

Zuni-Ramah Navajo division ------------ 1 852 .3 1 847 87.3 1 593 32.8 370 67.0 907 59.6 391 

Colfax County ------------------------ 12 925 1.5 12 726 63.9 12 020 44.8 438 26.9 3 384 21.3 3 551 

Cimarron division -------------------- 2 003 2.4 1 954 50.9 1 858 53.2 68 4.4 538 12.3 569 

Angel Fire village ------------------ 107 – 107 56.1 94 92.6 ––– – 33 Cimarron village------------------- 758 2.4 740 64.7 691 34.7 42 – 297 11.8 214 Eagle Nest village ----------------- 191 – 191 48.2 184 52.7 13 – 46 28.3 55 

Raton division ---------------------- 8 440 1.3 8 332 65.8 7 811 42.9 217 38.7 2 092 27.1 2 312 

Maxwell village (pt.) --------------- – ––––––––––

Raton city ----------------------- 7 372 1.5 7 264 67.4 6 831 43.2 196 42.9 1 978 28.5 2 030 

Springer division -------------------- 2 482 1.7 2 440 67.6 2 351 44.2 153 20.3 754 11.8 670 

Maxwell village (pt.) --------------- 257 1.6 253 60.1 234 51.3 4 – 88 17.0 77 

Springer town -------------------- 1 252 .9 1 241 76.6 1 172 38.6 68 4.4 531 9.4 349 

Curry County ------------------------- 42 207 3.9 40 560 44.6 38 429 54.7 1 608 35.9 5 857 35.1 11 509 

Broadview division ------------------- 411 1.9 403 58.3 384 9.4 4 – 16 12.5 139 

Grady village --------------------- 107 3.7 103 64.1 98 25.5 – – 8 – 33 

Clovis division ---------------------- 40 644 3.9 39 041 44.1 37 012 55.8 1 587 36.4 5 797 35.0 11 033 

Cannon AFB CDP ------------------ 3 312 5.6 3 128 12.1 2 785 97.7 50 – 296 19.3 741 Clovis city ----------------------- 30 954 3.5 29 872 48.2 28 387 51.0 1 251 36.6 4 832 34.7 8 519 Texico city----------------------- 962 13.7 830 48.8 894 51.6 74 8.1 234 47.4 238 

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 1
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 2

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 1. S

electe

d

S

ocial Characteristics: 1990

mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]State CountyCounty SubdivisionPlace

All persons

Native

Persons 5 years and over Persons who speak a language other than English at home

Persons 5 to 17 years Persons 18 years and over

Total

Percent

foreign born Total

Percent born

in State of

residence Total

Percent living

in different

house in

1985 Total

Percent who

do not speak

English " very well" Total

Percent who

do not speak

English " very well" Total

Percent 

own ch

und

Curry CountymCon.

Melrose division--------------------- 1 152 3.1 1 116 56.8 1 033 31.8 17 – 44 59.1 337 

Melrose village ------------------- 669 1.8 657 49.8 626 30.4 9 – 23 43.5 197 

DeBaca County ----------------------- 2 252 3.9 2 164 60.0 2 111 38.5 68 19.1 425 26.6 651 

East De Baca division ---------------- 2 027 3.1 1 964 60.6 1 897 36.0 59 15.3 404 24.3 587 

Fort Sumner village ---------------- 1 269 1.7 1 247 65.1 1 181 34.4 37 8.1 334 17.4 352 

West De Baca division ---------------- 225 11.1 200 54.5 214 60.3 9 44.4 21 71.4 64 

Dona Ana County --------------------- 135 510 15.0 115 171 46.2 123 880 50.7 15 776 37.2 46 052 37.0 33 471 

Anthony division -------------------- 17 574 29.4 12 404 31.1 15 586 44.8 4 056 30.8 7 638 41.4 4 190 

Anthony CDP --------------------- 5 107 39.6 3 085 34.7 4 478 38.0 1 396 34.6 2 600 42.5 1 178 Chaparral CDP -------------------- 3 015 17.7 2 482 10.8 2 747 47.9 521 25.0 808 34.7 743 

Dona Ana-Hill division ---------------- 15 501 10.4 13 888 53.5 14 099 49.5 1 742 20.0 4 773 26.0 4 111 

Dona Ana CDP-------------------- 881 17.9 723 78.7 796 27.9 131 38.9 478 47.7 213 Las Cruces city (pt.) --------------- 3 184 8.8 2 903 47.8 2 863 54.8 324 8.0 863 16.9 876 

Fairacres division -------------------- 3 888 3.7 3 744 49.0 3 650 47.4 175 23.4 1 015 26.0 963 

Mesilla town (pt.) ----------------- – ––––––––––

Hatch division ---------------------- 3 849 23.3 2 952 73.7 3 466 36.2 709 39.4 1 775 36.2 951 

Hatch village --------------------- 1 158 20.2 924 63.1 1 052 34.0 181 18.8 499 34.1 278 

Las Cruces division------------------- 76 181 9.4 69 041 51.1 70 372 57.4 5 258 32.0 21 847 29.9 18 761 

Las Cruces city (pt.) --------------- 58 942 9.6 53 296 50.1 54 513 56.4 4 142 35.4 16 567 31.5 14 856 

Mesilla town (pt.) ----------------- 1 975 6.3 1 850 58.2 1 860 32.3 178 25.8 832 21.9 524 

University Park CDP ---------------- 4 520 7.7 4 171 50.9 4 232 95.4 51 37.3 958 23.1 503 

South Dona Ana division -------------- 15 901 33.0 10 650 22.3 14 459 22.9 3 764 60.1 8 649 59.3 3 828 

Sunland Park city------------------ 8 179 45.0 4 501 6.2 7 365 14.6 2 535 73.5 4 725 77.3 1 748 

White Sands division ----------------- 2 616 4.7 2 492 10.5 2 248 94.8 72 6.9 355 23.9 667 

White Sands CDP------------------ 2 616 4.7 2 492 10.5 2 248 94.8 72 6.9 355 23.9 667 

Eddy County ------------------------- 48 605 3.9 46 686 54.5 44 875 43.0 3 120 36.8 10 211 38.2 13 336 

Artesia division --------------------- 14 527 5.0 13 799 57.8 13 315 38.5 1 024 49.8 3 224 37.1 4 145 

Artesia city ---------------------- 10 610 3.8 10 204 55.5 9 734 41.0 664 57.8 2 359 35.1 2 968 Hope village --------------------- 100 – 100 43.0 98 32.7 –––– 32 

Carlsbad division -------------------- 31 884 3.3 30 833 52.1 29 525 45.4 1 803 31.8 6 201 39.3 8 605 

Carlsbad city --------------------- 24 896 3.4 24 042 51.2 23 085 45.7 1 388 33.6 5 122 39.3 6 698 Carlsbad North CDP ---------------- 1 223 – 1 223 43.5 1 176 53.6 6 – 47 12.8 369 

Loco Hills division ------------------- 339 1.2 335 57.0 325 55.4 7 – 32 21.9 99 Loving division---------------------- 1 855 7.3 1 719 70.9 1 710 34.6 286 23.1 754 34.4 487 

Loving village--------------------- 1 243 7.1 1 155 73.2 1 124 42.0 227 21.1 583 34.1 316 

Grant County------------------------- 27 676 3.6 26 667 61.3 25 604 44.6 2 174 23.3 8 743 23.0 7 525 

Bayard-Santa Rita division ------------- 3 515 7.0 3 268 77.0 3 273 26.8 619 27.5 1 835 31.0 944 

Bayard city ---------------------- 2 455 7.7 2 266 80.3 2 292 29.9 455 25.9 1 368 35.5 675 Hurley town (pt.) ----------------- – ––––––––––

Central division --------------------- 3 172 4.8 3 021 72.1 2 889 44.9 317 26.5 1 256 27.2 759 

Central village -------------------- 1 835 5.4 1 735 81.8 1 655 39.7 235 32.3 977 29.0 490 

Hurley division ---------------------- 1 896 4.0 1 821 65.0 1 794 28.4 149 18.1 681 29.4 542 

Hurley town (pt.) ----------------- 1 534 3.9 1 474 66.9 1 443 27.0 146 18.5 610 30.7 433 

Mimbres division -------------------- 1 075 1.5 1 059 63.6 1 002 28.9 115 – 410 31.2 294 

Pinos Altos division ------------------ 939 3.6 905 56.0 864 48.4 6 – 87 27.6 271 Silver City division ------------------- 15 239 3.0 14 789 55.7 14 082 50.6 954 22.2 4 201 17.4 4 193 

Silver City town------------------- 10 683 3.4 10 315 59.8 9 873 51.5 694 19.9 3 454 18.5 2 862 

Tyrone division --------------------- 1 840 2.0 1 804 58.3 1 700 53.2 14 100.0 273 7.0 522 

Guadalupe County --------------------- 4 156 2.8 4 041 86.4 3 842 25.0 533 22.5 2 369 23.4 1 160 

Dilia division ----------------------- 541 2.6 527 93.4 512 12.5 106 5.7 363 47.7 148 Santa Rosa division ------------------ 2 879 2.8 2 798 85.5 2 619 28.5 329 31.6 1 575 21.5 796 

Santa Rosa city ------------------- 2 249 3.4 2 173 88.5 2 035 24.6 280 33.2 1 276 20.8 612 

Vaughn division --------------------- 736 2.7 716 85.1 711 21.0 98 10.2 431 9.7 216 

Vaughn town--------------------- 638 1.9 626 85.0 620 22.4 85 5.9 362 10.2 187 

Harding County ----------------------- 987 .4 983 69.7 921 31.1 63 23.8 356 33.4 281 

North Harding division ---------------- 816 .2 814 74.4 757 28.8 55 27.3 340 33.8 225 

Mosquero village (pt.)-------------- 158 – 158 88.0 156 33.3 27 22.2 87 1.1 43 

Roy village ---------------------- 380 – 380 76.8 349 25.5 14 64.3 193 46.1 112 

South Harding division ---------------- 171 1.2 169 46.7 164 41.5 8 – 16 25.0 56 

Hidalgo County ----------------------- 5 958 6.6 5 567 58.0 5 450 47.5 554 44.6 1 994 23.1 1 628 

North Hidalgo division ---------------- 4 659 7.3 4 321 64.6 4 259 48.0 505 48.9 1 711 25.3 1 245 

Lordsburg city -------------------- 2 922 8.7 2 669 76.0 2 687 41.1 470 50.2 1 364 24.9 741 Virden village--------------------- 167 – 167 13.8 130 58.5 – – 9 – 34 

South Hidalgo division ---------------- 1 299 4.1 1 246 34.9 1 191 45.6 49 – 283 9.9 383 

2 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 3

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 1. S

electe

d

S

ocial Characteristics: 1990

mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]State CountyCounty SubdivisionPlace

All persons

Native

Persons 5 years and over Persons who speak a language other than English at home

Persons 5 to 17 years Persons 18 years and over

Total

Percent

foreign born Total

Percent born

in State of

residence Total

Percent living

in different

house in

1985 Total

Percent who

do not speak

English " very well" Total

Percent who

do not speak

English " very well" Total

Percent 

own ch

und

Lea County -------------------------- 55 765 7.2 51 755 39.7 50 990 47.2 4 284 29.3 9 196 41.8 15 176 

Eunice division ---------------------- 3 018 11.1 2 684 31.9 2 778 46.7 224 22.8 458 45.6 831 

Eunice city----------------------- 2 731 9.7 2 466 31.7 2 525 45.3 185 14.6 390 38.2 759 

Hobbs division ---------------------- 36 880 5.3 34 910 40.0 33 633 49.7 2 289 30.2 5 526 37.3 9 993 

Hobbs city----------------------- 29 115 6.1 27 339 40.4 26 486 50.0 2 031 27.4 4 789 38.5 7 701 

Jal division ------------------------ 2 330 11.8 2 054 22.0 2 147 38.1 287 19.2 469 43.3 654 

Jal city ------------------------- 2 153 11.3 1 909 20.5 1 992 38.6 269 20.4 444 41.9 602 

Lovington division ------------------- 12 108 10.0 10 897 43.6 11 115 42.6 1 373 31.2 2 509 48.8 3 272 

Lovington city -------------------- 9 267 11.9 8 161 46.1 8 430 44.7 1 172 31.5 2 261 50.5 2 467 

Tatum division ---------------------- 1 429 15.3 1 210 43.5 1 317 37.1 111 25.2 234 62.4 426 

Tatum town---------------------- 771 13.4 668 44.5 719 42.1 72 29.2 110 45.5 219 

Lincoln County ------------------------ 12 219 4.1 11 721 50.2 11 420 48.5 512 28.9 2 139 28.5 3 442 

Capitan division --------------------- 2 229 1.8 2 188 57.3 2 130 41.3 42 23.8 275 25.1 553 

Capitan village-------------------- 831 2.0 814 51.0 796 50.3 11 – 66 18.2 231 Ruidoso village (pt.) --------------- – ––––––––––

Carrizozo division ------------------- 1 243 .7 1 234 63.9 1 161 44.4 37 13.5 438 30.6 354 

Carrizozo town ------------------- 1 057 .9 1 048 66.0 996 43.2 34 5.9 414 31.2 290 

Corona division --------------------- 535 4.5 511 72.6 487 46.6 24 33.3 78 23.1 148 

Corona village -------------------- 233 – 233 74.7 215 37.2 6 – 43 14.0 66 

Hondo division---------------------- 914 3.7 880 77.4 878 34.9 138 62.3 384 31.8 258 Ruidoso division--------------------- 7 298 5.3 6 908 40.4 6 764 53.4 271 14.4 964 27.6 2 129 

Ruidoso village (pt.) --------------- 4 600 5.2 4 360 35.5 4 304 59.3 141 5.7 561 24.1 1 353 Ruidoso Downs village -------------- 920 10.3 825 52.2 834 39.0 58 32.8 262 38.2 249 

Los Alamos County -------------------- 18 115 4.6 17 275 31.1 16 999 45.3 128 48.4 1 431 26.3 5 332 

Los Alamos division ------------------ 11 830 5.4 11 190 31.8 11 125 48.9 119 52.1 1 085 28.2 3 405 

Los Alamos CDP ------------------ 11 420 5.6 10 780 31.2 10 765 48.7 119 52.1 1 073 27.4 3 294 

White Rock division ------------------ 6 285 3.2 6 085 29.8 5 874 38.6 9 – 346 20.5 1 927 

White Rock CDP------------------- 6 192 3.2 5 992 30.0 5 798 38.4 9 – 346 20.5 1 898 

Luna County ------------------------- 18 110 13.7 15 620 47.0 16 797 43.8 1 887 31.5 5 295 47.8 5 071 

Deming North division ---------------- 14 297 14.4 12 236 51.1 13 228 43.7 1 569 27.5 4 560 47.3 3 925 

Deming city (pt.)------------------ 10 970 15.9 9 230 53.1 10 105 44.8 1 264 27.3 3 817 47.1 2 952 

Deming South division ---------------- 3 813 11.3 3 384 32.2 3 569 44.0 318 51.6 735 50.9 1 146 

Columbus village ------------------ 622 22.8 480 41.5 573 51.1 120 60.0 263 55.1 159 Deming city (pt.)------------------ – ––––––––––

McKinley County ---------------------- 60 686 1.8 59 580 76.4 53 144 34.1 8 794 45.6 26 347 39.7 13 490 

Crownpoint division ------------------ 5 324 .2 5 314 91.5 4 289 23.5 874 68.4 2 654 49.5 1 024 

Crownpoint CDP------------------- 2 131 – 2 131 85.6 1 704 24.4 271 68.3 933 35.4 409 

Gallup division ---------------------- 21 041 4.4 20 115 64.8 18 903 50.5 1 506 30.3 6 287 29.3 5 276 

Gallup city (pt.)------------------- 19 045 4.8 18 132 64.1 17 128 52.2 1 211 29.1 5 692 28.7 4 761 

Red Rock division-------------------- 17 843 .8 17 699 83.9 15 552 26.0 3 328 30.2 8 902 41.5 3 809 

Gallup city (pt.)------------------- 109 – 109 94.5 76 75.0 24 45.8 39 84.6 23 1

Reservation division ------------------ 9 044 .1 9 036 64.6 7 809 27.8 1 339 55.3 4 298 34.4 1 901 

Mexican Springs CDP--------------- 190 – 190 92.6 162 4.3 56 87.5 92 45.7 28 1

Navajo CDP ---------------------- 1 927 – 1 927 16.6 1 680 62.1 61 – 754 12.3 382 Tohatchi CDP --------------------- 705 1.1 697 62.6 657 17.8 37 45.9 287 25.4 189 

Zuni division ----------------------- 7 434 .2 7 416 94.0 6 591 20.7 1 747 69.1 4 206 50.6 1 480 

Black Rock CDP ------------------- 832 – 832 84.5 710 56.2 220 79.5 342 59.6 166 Zuni Pueblo CDP ------------------ 5 883 .2 5 870 95.6 5 273 15.7 1 339 68.0 3 533 50.3 1 163 

Mora County ------------------------- 4 264 .5 4 241 85.1 3 988 31.0 526 47.3 2 584 26.2 1 117 

Mora division ---------------------- 3 210 – 3 210 86.7 2 996 27.3 377 43.2 2 021 25.1 836 

Wagon Mound division --------------- 1 054 2.2 1 031 80.0 992 42.4 149 57.7 563 30.0 281 

Wagon Mound village -------------- 339 2.1 332 90.4 317 59.6 76 77.6 207 38.2 94 

Otero County------------------------- 51 928 5.7 48 963 37.3 47 051 57.4 1 681 28.7 8 354 28.2 13 994 

Alamogordo division ----------------- 39 405 5.6 37 203 32.1 35 628 60.6 1 063 30.2 5 671 26.8 10 743 

Alamogordo city ------------------ 27 596 6.1 25 901 33.4 25 235 56.9 799 35.9 4 404 27.4 7 745 Boles Acres CDP ------------------ 1 373 3.9 1 319 35.2 1 255 46.1 17 23.5 103 29.1 414 Holloman AFB CDP----------------- 5 891 4.9 5 601 14.2 4 961 89.0 140 21.4 533 31.0 1 329 La Luz CDP (pt.) ------------------ 1 661 1.4 1 638 45.3 1 526 56.7 37 – 291 5.8 450 

Mescalero division ------------------- 2 664 .3 2 657 89.2 2 294 32.9 87 50.6 736 36.4 579 

Mescalero CDP ------------------- 1 159 .4 1 154 87.7 1 013 26.9 33 51.5 383 43.6 255 

Southeast Otero division -------------- 5 073 12.9 4 420 25.4 4 710 56.0 366 29.2 897 47.2 1 395 

Cloudcroft village------------------ 544 5.3 515 31.1 510 62.9 2 – 32 – 170 La Luz CDP (pt.) ------------------ – ––––––––––

Tularosa division -------------------- 4 786 2.2 4 683 60.6 4 419 45.3 165 6.7 1 050 13.8 1 277 

Tularosa village ------------------- 2 615 2.3 2 555 66.9 2 414 39.6 105 10.5 783 16.1 686 

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 3
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 4

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 1. S

electe

d

S

ocial Characteristics: 1990

mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]State CountyCounty SubdivisionPlace

All persons

Native

Persons 5 years and over Persons who speak a language other than English at home

Persons 5 to 17 years Persons 18 years and over

Total

Percent

foreign born Total

Percent born

in State of

residence Total

Percent living

in different

house in

1985 Total

Percent who

do not speak

English " very well" Total

Percent who

do not speak

English " very well" Total

Percent 

own ch

und

Quay County ------------------------- 10 823 1.7 10 639 59.9 10 061 42.4 311 43.1 2 466 25.1 3 183 

House-Forrest division ---------------- 465 5.8 438 58.9 417 45.6 9 100.0 16 18.8 134 

House village --------------------- 101 4.0 97 54.6 99 44.4 –––– 26 

Logan-Nara Visa division -------------- 1 137 1.2 1 123 50.6 1 058 42.7 14 – 155 9.0 343 

Logan village --------------------- 856 1.6 842 50.8 811 43.0 14 – 145 9.7 274 

San Jon division -------------------- 637 3.0 618 61.5 567 36.2 19 21.1 71 29.6 184 

San Jon village ------------------- 275 – 275 57.8 243 53.5 15 – 41 4.9 83 

Tucumcari division ------------------- 8 584 1.4 8 460 61.0 8 019 42.6 269 45.0 2 224 26.2 2 522 

Tucumcari city -------------------- 6 831 1.1 6 757 62.9 6 328 44.4 258 46.9 2 030 27.3 1 966 

Rio Arriba County --------------------- 34 365 1.3 33 923 84.1 31 229 33.5 4 286 39.7 18 353 29.2 8 946 

Chimayo division -------------------- 3 608 1.6 3 549 92.0 3 264 43.5 617 72.3 2 284 58.0 910 

Chimayo CDP (pt.)----------------- 2 129 2.0 2 087 93.0 1 933 29.8 346 59.0 1 392 46.2 572 

Coyote division --------------------- 1 561 – 1 561 85.4 1 377 27.4 209 22.5 868 26.7 450 Dixon division ---------------------- 1 338 .9 1 326 81.1 1 279 52.5 235 64.3 877 38.0 382 Jicarilla division --------------------- 2 574 .2 2 570 88.9 2 233 37.0 163 27.6 858 18.8 549 

Dulce CDP (pt.) ------------------- 2 438 .2 2 434 88.5 2 104 37.3 148 22.3 804 16.2 523 

Rio Chama division ------------------ 2 574 .7 2 557 82.5 2 355 24.1 389 36.2 1 275 22.0 634 San Juan Pueblo division -------------- 5 237 1.1 5 180 90.2 4 741 24.0 626 44.9 3 078 21.2 1 363 

Alcalde CDP---------------------- 317 – 317 85.5 291 13.7 55 47.3 180 19.4 82 Espanola city (pt.)----------------- 839 2.1 821 90.6 756 33.1 103 42.7 502 21.1 226 San Juan CDP -------------------- 371 – 371 93.8 344 24.4 16 37.5 218 12.8 90 

Santa Clara division ------------------ 7 722 2.0 7 571 80.5 7 095 32.4 832 28.1 4 066 24.1 2 103 

Espanola city (pt.)----------------- 4 097 2.2 4 005 83.7 3 759 37.4 489 22.1 2 229 20.1 1 082 Santa Clara Pueblo CDP ------------- 1 156 .6 1 149 86.2 1 055 28.3 146 39.0 603 31.5 296 

South Rio Arriba division -------------- 5 847 1.8 5 741 81.4 5 295 35.4 685 30.7 3 082 23.2 1 538 

Espanola city (pt.)----------------- 1 274 .6 1 266 73.6 1 132 41.3 67 22.4 634 9.6 352 

Tierra Amarilla division---------------- 3 002 .8 2 978 79.9 2 741 32.9 433 31.2 1 563 37.7 791 

Chama village -------------------- 1 096 2.0 1 074 77.5 998 41.7 126 22.2 549 37.0 310 Dulce CDP (pt.) ------------------- – ––––––––––

Vallecitas division ------------------- 560 2.1 548 76.6 527 34.3 97 13.4 312 30.1 129 Western Rio Arriba division ------------ 342 – 342 64.6 322 63.4 – – 90 – 97 

Roosevelt County---------------------- 16 702 5.7 15 756 54.9 15 444 52.7 868 27.5 2 523 37.3 4 176 

Dora division ----------------------- 653 7.5 604 46.7 598 23.4 37 64.9 58 65.5 182 

Causey village -------------------- 54 11.1 48 33.3 49 30.6 3 100.0 6 100.0 20 Dora village (pt.)------------------ 178 8.4 163 40.5 151 39.7 11 18.2 21 47.6 45 

Elida division ----------------------- 1 217 5.2 1 154 62.3 1 146 36.5 35 – 92 52.2 344 

Elida town ----------------------- 181 1.7 178 55.1 161 37.9 – – 14 64.3 51 Floyd village --------------------- 124 – 124 47.6 122 49.2 –––– 38 

Portales division--------------------- 14 832 5.6 13 998 54.7 13 700 55.3 796 27.0 2 373 36.0 3 650 

Dora village (pt.)------------------ – ––––––––––Portales city --------------------- 10 690 6.6 9 989 52.5 9 870 58.5 666 30.6 1 962 39.8 2 505 

Sandoval County ---------------------- 63 319 3.6 61 047 55.2 57 103 48.5 4 451 39.1 16 162 29.0 16 762 

Bernalillo division -------------------- 47 693 4.2 45 700 44.6 43 100 56.7 1 562 17.3 8 558 18.1 13 502 

Bernalillo town ------------------- 5 960 4.0 5 721 79.2 5 367 41.1 575 4.9 2 503 14.6 1 563 Corrales village (pt.) --------------- 4 918 3.0 4 770 48.6 4 571 42.6 235 24.7 1 015 15.0 1 382 Placitas CDP --------------------- 1 592 3.8 1 531 35.3 1 503 61.3 53 22.6 202 3.0 496 Rio Rancho city ------------------- 32 505 4.6 31 018 35.4 29 218 63.3 518 27.8 3 821 21.7 9 358 San Felipe Pueblo CDP (pt.) ---------- – ––––––––––Santa Ana Pueblo CDP (pt.)---------- 495 .4 493 91.9 434 51.2 50 58.0 237 41.4 102 

Cuba division ----------------------- 4 846 2.0 4 751 87.1 4 289 21.6 977 48.6 2 506 42.4 1 131 

Cuba village---------------------- 789 3.0 765 82.5 704 42.6 83 32.5 397 13.6 212 

Jemez division ---------------------- 4 129 .8 4 097 79.1 3 759 30.2 586 57.0 1 719 50.8 958 

Jemez Pueblo CDP ----------------- 1 409 .2 1 406 94.8 1 261 14.6 374 61.5 842 60.3 283 Jemez Springs village -------------- 456 5.7 430 52.6 426 41.5 9 33.3 87 19.5 116 San Ysidro village ----------------- 189 – 189 88.9 175 44.6 13 – 100 11.0 52 Zia Pueblo CDP ------------------- 638 – 638 98.1 573 27.7 124 54.0 350 50.9 137 

Santo Domingo division --------------- 6 651 2.3 6 499 90.9 5 955 20.6 1 326 49.7 3 379 35.4 1 171 

Cochiti CDP ---------------------- 605 – 605 92.6 560 10.5 49 44.9 300 34.0 129 Pena Blanca CDP ------------------ 344 23.3 264 84.5 331 47.1 67 58.2 215 37.2 72 San Felipe Pueblo CDP (pt.) ---------- 1 557 – 1 557 98.1 1 366 15.4 396 62.1 892 42.0 265 Santa Ana Pueblo CDP (pt.)---------- – ––––––––––Santo Domingo Pueblo CDP ---------- 2 651 1.1 2 622 97.3 2 343 5.3 704 45.7 1 419 34.7 340 

San Juan County ---------------------- 91 605 1.2 90 509 56.7 82 731 43.4 5 731 39.0 21 974 39.1 23 074 

Aztec division ---------------------- 13 477 2.0 13 210 40.6 12 363 45.8 312 23.1 1 646 28.9 3 625 

Aztec city ----------------------- 5 479 2.7 5 330 42.6 4 957 58.3 131 25.2 793 28.5 1 400 Farmington city (pt.) --------------- 97 26.8 71 22.5 95 62.1 11 – 33 100.0 29 Flora Vista CDP ------------------- 1 028 – 1 028 36.7 995 36.3 15 – 149 9.4 325 

Bloomfield division------------------- 10 735 1.9 10 528 53.6 9 809 48.6 486 33.3 2 238 32.2 2 831 

Bloomfield city (pt.) --------------- 5 214 1.7 5 125 49.6 4 769 54.5 220 20.9 885 26.4 1 388 

Burnham division -------------------- 4 011 – 4 011 89.4 3 509 34.0 556 43.9 1 842 49.6 877 

Ojo Amarillo CDP------------------ 1 045 – 1 045 82.2 875 73.9 144 48.6 339 31.6 201 

4 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 5

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 1. S

electe

d

S

ocial Characteristics: 1990

mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]State CountyCounty SubdivisionPlace

All persons

Native

Persons 5 years and over Persons who speak a language other than English at home

Persons 5 to 17 years Persons 18 years and over

Total

Percent

foreign born Total

Percent born

in State of

residence Total

Percent living

in different

house in

1985 Total

Percent who

do not speak

English " very well" Total

Percent who

do not speak

English " very well" Total

Percent 

own ch

und

San Juan CountymCon.

Farmington division ------------------ 42 038 1.4 41 454 45.7 38 177 49.5 1 468 29.6 5 571 28.5 11 050 

Farmington city (pt.) --------------- 33 900 1.5 33 380 43.1 30 794 50.7 998 33.2 4 225 31.4 9 057 Kirtland CDP --------------------- 3 552 1.1 3 514 57.3 3 180 36.4 212 37.3 533 18.4 853 

Naschitti division -------------------- 2 125 – 2 125 82.7 1 900 27.4 246 20.7 1 229 56.3 467 

Naschitti CDP--------------------- 490 – 490 89.0 423 11.6 34 55.9 335 37.0 80 

Shiprock-Sanostee division ------------- 14 766 .1 14 750 85.4 13 161 23.1 2 036 43.7 7 626 43.3 3 259 

Newcomb CDP -------------------- 380 – 380 85.3 336 38.4 43 20.9 183 61.2 87 Sanostee CDP -------------------- 657 – 657 91.9 618 19.6 193 38.9 403 32.0 184 Shiprock CDP--------------------- 7 687 .2 7 671 80.5 6 741 24.0 809 55.4 3 860 35.8 1 647 

Simpson-Chaco division --------------- 4 453 .5 4 431 76.3 3 812 48.4 627 60.6 1 822 49.5 965 

Bloomfield city (pt.) --------------- – ––––––––––Farmington city (pt.) --------------- – ––––––––––

San Miguel County -------------------- 25 743 2.1 25 207 80.9 23 671 39.4 3 084 34.2 13 379 30.9 6 345 

Conchas Dam division ---------------- 286 .7 284 49.3 265 35.8 8 – 60 – 103 

Mosquero village (pt.)-------------- – ––––––––––

Las Vegas division ------------------- 20 022 2.1 19 592 81.5 18 465 40.9 2 451 39.5 10 533 31.7 4 807 

Las Vegas city-------------------- 14 753 1.2 14 583 83.3 13 629 40.7 1 909 42.2 8 040 32.0 3 586 

Pecos division ---------------------- 3 439 2.4 3 355 77.8 3 100 38.4 305 18.0 1 678 26.4 950 

Pecos village --------------------- 1 037 5.5 980 80.2 923 41.9 80 11.3 520 27.1 286 

Trementina division ------------------ 299 – 299 67.2 282 19.1 – – 169 74.6 71 Villanueva division ------------------- 1 697 1.2 1 677 87.7 1 559 28.2 320 10.3 939 23.7 414 

Santa Fe County ---------------------- 98 928 4.1 94 885 57.2 91 923 48.5 5 048 37.6 30 714 24.9 25 199 

Santa Fe division -------------------- 61 901 4.7 58 995 54.8 57 893 49.1 2 521 41.7 18 667 25.6 15 702 

Agua Fria CDP -------------------- 3 583 6.3 3 359 70.7 3 292 49.7 264 64.0 1 221 36.7 1 027 Santa Fe city (pt.)----------------- 55 614 4.5 53 085 54.3 52 046 48.4 2 161 39.0 16 765 24.8 13 926 Tesuque CDP (pt.) ----------------- – ––––––––––

Santa Fe North division --------------- 14 986 2.4 14 632 72.2 13 827 39.9 1 488 31.0 6 685 24.3 3 986 

Chimayo CDP (pt.)----------------- 643 2.2 629 90.5 574 13.1 73 64.4 427 39.1 167 Cuyamungue CDP------------------ 327 2.1 320 79.4 300 34.3 17 11.8 165 11.5 81 Espanola city (pt.)----------------- 2 179 2.2 2 132 79.3 1 978 46.0 276 33.0 1 112 23.1 597 Jaconita CDP --------------------- 368 6.3 345 58.3 349 45.8 39 38.5 141 25.5 101 Nambe CDP ---------------------- 1 246 1.9 1 222 80.5 1 169 38.3 106 29.2 629 21.8 333 Pojoaque CDP -------------------- 1 037 1.6 1 020 68.5 946 51.3 100 19.0 415 23.1 273 San Ildefonso Pueblo CDP ----------- 424 .5 422 79.1 389 9.5 51 19.6 208 4.3 104 Santa Cruz CDP------------------- 2 500 2.2 2 444 76.7 2 316 39.7 297 39.4 1 158 37.5 662 Santa Fe city (pt.)----------------- 41 – 41 – 41 100.0 –––– 16 Tesuque CDP (pt.) ----------------- 1 522 2.5 1 484 56.3 1 433 52.9 100 22.0 585 31.3 402 

Santa Fe South division --------------- 22 041 3.6 21 258 53.7 20 203 52.9 1 039 37.1 5 362 23.2 5 511 

Edgewood CDP (pt.) --------------- 2 826 2.1 2 767 40.9 2 606 53.3 29 48.3 248 23.8 828 Eldorado at Santa Fe CDP ----------- 2 311 3.2 2 237 26.2 2 192 71.6 72 – 164 – 672 La Cienega CDP ------------------- 1 035 7.7 955 79.0 835 31.4 71 56.3 383 20.9 270 Santa Fe city (pt.)----------------- 338 2.4 330 76.4 313 61.3 36 – 210 32.9 39 

Sierra County ------------------------ 9 912 4.8 9 440 40.6 9 359 48.5 353 23.5 1 755 27.3 2 883 

Truth or Consequences East division ------ 8 014 4.0 7 696 39.2 7 590 51.6 220 31.8 1 244 30.5 2 306 

Truth or Consequences city ---------- 6 216 3.8 5 978 39.8 5 904 52.4 191 36.6 1 009 32.8 1 731 Williamsburg village ---------------- 461 2.0 452 35.4 412 40.8 4 – 63 6.3 133 

Truth or Consequences West division ----- 1 898 8.1 1 744 46.5 1 769 35.5 133 9.8 511 19.4 577 

Socorro County ----------------------- 14 764 5.5 13 958 67.9 13 587 47.7 1 126 45.5 5 098 33.1 3 799 

Claunch division --------------------- 119 5.9 112 43.8 119 39.5 – – 20 – 27 Magdalena division ------------------ 2 804 1.2 2 771 84.3 2 547 27.3 473 77.8 1 156 58.7 681 

Magdalena village ----------------- 883 .3 880 81.3 819 33.0 70 72.9 362 54.4 239 

Socorro city (pt.)------------------ – ––––––––––

Rio Grande division ------------------ 11 841 6.5 11 075 64.1 10 921 52.6 653 22.1 3 922 25.7 3 091 

Socorro city (pt.)------------------ 8 159 7.9 7 514 62.9 7 515 54.9 479 17.7 2 718 24.0 2 057 

Taos County ------------------------- 23 118 1.9 22 671 70.3 21 328 38.5 2 256 19.0 10 949 21.8 6 244 

Arroyo Hondo division ---------------- 2 747 2.2 2 686 62.2 2 559 35.0 216 23.1 1 129 21.3 756 

Questa village (pt.) ---------------- – ––––––––––

Penasco division--------------------- 1 240 1.1 1 226 88.9 1 156 22.6 109 36.7 733 47.1 316 Picuris division ---------------------- 1 899 .6 1 887 89.4 1 727 51.1 277 16.6 1 193 26.8 523 

Chamisal CDP -------------------- 255 – 255 94.1 236 14.4 26 – 182 11.5 82 Penasco CDP --------------------- 658 1.5 648 89.4 594 79.1 132 19.7 390 37.4 167 Vadito CDP ---------------------- 290 – 290 89.7 271 36.9 30 16.7 178 15.2 75 

Questa division --------------------- 3 308 1.5 3 260 63.4 3 050 31.8 295 9.5 1 567 24.1 905 

Questa village (pt.) ---------------- 1 687 1.2 1 667 75.2 1 563 28.0 154 3.2 888 20.7 443 Red River town ------------------- 407 2.0 399 27.3 376 64.4 – – 27 44.4 139 

Taos division ----------------------- 11 276 2.3 11 013 67.1 10 435 41.1 1 074 13.6 4 922 15.1 3 053 

Ranchos De Taos CDP -------------- 1 625 2.5 1 584 73.4 1 506 38.6 129 15.5 744 23.3 479 Taos town (pt.)------------------- 4 020 2.1 3 934 63.9 3 776 44.4 379 19.5 1 675 13.1 1 092 

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 5
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 6

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 1. S

electe

d

S

ocial Characteristics: 1990

mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]State CountyCounty SubdivisionPlace

All persons

Native

Persons 5 years and over Persons who speak a language other than English at home

Persons 5 to 17 years Persons 18 years and over

Total

Percent

foreign born Total

Percent born

in State of

residence Total

Percent living

in different

house in

1985 Total

Percent who

do not speak

English " very well" Total

Percent who

do not speak

English " very well" Total

Percent 

own ch

und

Taos CountymCon.

Taos Pueblo division------------------ 2 198 1.7 2 161 84.3 2 007 35.1 262 36.6 1 172 30.9 579 

Taos town (pt.)------------------- 45 – 45 80.0 42 33.3 – – 25 68.0 14 Taos Pueblo CDP ------------------ 1 187 .6 1 180 92.7 1 080 32.0 183 32.2 748 28.1 307 

Tres Piedras division ----------------- 450 2.7 438 49.5 394 53.8 23 100.0 233 – 112 

Torrance County ---------------------- 10 285 2.2 10 057 60.9 9 489 43.3 459 28.5 2 308 22.3 2 798 

Encino division ---------------------- 537 8.2 493 80.5 514 42.2 8 100.0 219 61.6 168 

Encino village--------------------- 140 2.1 137 92.0 133 36.8 8 100.0 88 60.2 37 

Estancia division -------------------- 8 078 2.1 7 912 57.6 7 427 45.3 324 35.2 1 615 18.5 2 173 

Edgewood CDP (pt.) --------------- 480 .6 477 49.9 442 65.6 – – 65 9.2 124 Estancia town -------------------- 747 5.8 704 73.9 704 26.0 82 46.3 217 39.6 226 

Moriarty city --------------------- 1 399 .7 1 389 56.1 1 268 43.1 59 6.8 285 9.8 390 

Mountainair division------------------ 1 670 1.1 1 652 71.1 1 548 34.2 127 7.1 474 17.3 457 

Mountainair town ----------------- 913 .5 908 68.7 857 34.9 75 6.7 239 19.2 240 

Willard village -------------------- 196 5.6 185 85.9 176 34.7 11 18.2 111 18.9 48 

Union County------------------------- 4 124 3.1 3 997 61.3 3 811 43.7 133 15.0 890 27.6 1 159 

Clayton North division ---------------- 864 3.1 837 61.5 786 43.6 40 17.5 116 31.9 231 

Clayton town (pt.)----------------- – ––––––––––Des Moines village----------------- 157 7.0 146 61.6 140 50.7 10 – 31 48.4 40 Folsom village -------------------- 161 – 161 81.4 149 35.6 – – 7 – 30 Grenville village ------------------- 12 – 12 – 12 ––––– 4 

Clayton South division ---------------- 3 260 3.1 3 160 61.2 3 025 43.7 93 14.0 774 27.0 928 

Clayton town (pt.)----------------- 2 424 3.8 2 333 66.8 2 255 46.0 93 14.0 664 25.2 702 

Valencia County----------------------- 45 235 2.7 44 008 64.6 41 408 47.5 2 040 26.5 13 045 21.9 12 138 

Belen division ---------------------- 14 857 2.4 14 500 65.0 13 657 46.5 729 55.1 4 686 26.3 4 150 

Belen city ----------------------- 6 547 2.8 6 363 74.9 5 893 42.9 377 59.4 2 439 28.8 1 730 Los Chaves CDP (pt.)--------------- 41 – 41 51.2 41 ––––– 11 1Los Trujillos-Gabaldon CDP (pt.) ------- 1 811 .3 1 805 72.3 1 710 38.4 181 80.1 652 39.6 505 Rio Communities CDP--------------- 3 233 3.2 3 130 36.3 3 088 62.6 62 30.6 597 25.6 1 027 

Los Lunas division ------------------- 30 378 2.9 29 508 64.4 27 751 48.0 1 311 10.5 8 359 19.4 7 988 

Bosque Farms village --------------- 3 791 .8 3 762 53.9 3 509 41.2 38 28.9 632 6.2 1 116 Isleta Pueblo CDP (pt.) ------------- 379 .8 376 97.6 329 11.9 49 6.1 187 13.4 91 Los Chaves CDP (pt.)--------------- 3 831 1.7 3 766 68.6 3 494 48.5 132 – 922 8.6 1 128 Los Lunas village ------------------ 6 013 2.1 5 889 67.4 5 444 54.9 332 3.3 1 863 20.7 1 579 Los Trujillos-Gabaldon CDP (pt.) ------- – ––––––––––Meadow Lake CDP----------------- 1 571 6.2 1 473 47.9 1 388 73.3 34 44.1 308 24.4 416 Peralta CDP ---------------------- 3 170 3.4 3 061 60.7 2 927 42.0 202 4.0 877 22.1 868 Tome-Adelino CDP ----------------- 1 572 2.2 1 538 77.3 1 478 25.8 62 – 694 19.3 441 Valencia CDP --------------------- 3 917 2.8 3 809 57.1 3 575 49.1 175 17.1 912 23.8 1 041 

6 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 7

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 2. S

electe

d

S

ocial Characteristics: 1990

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]StateCountyPlace and [In Selected

States] CountySubdivision

All persons

Native

Persons 5 years and over Persons who speak a language other than English at home

Persons 5 to 17 years Persons 18 years and over

Total

Percent

foreign born Total

Percent born

in State of

residence Total

Percent living

in different

house in

1985 Total

Percent who

do not speak

English " very well" Total

Percent who

do not speak

English " very well" Total

Percent 

own ch

und

The State ------------------- 1 515 069 5.3 1 434 555 54.6 1 390 048 48.2 94 719 35.7 399 280 31.5 394 958 

COUNTY Bernalillo County ---------------------- 480 577 5.3 455 233 50.5 443 989 52.8 17 471 34.7 104 305 29.4 125 628 Catron County ------------------------ 2 563 1.6 2 521 47.6 2 403 48.5 111 – 449 22.9 784 Chaves County------------------------ 57 849 7.4 53 553 53.7 53 134 48.6 3 344 29.4 11 712 40.1 15 374 Cibola County ------------------------ 23 794 1.5 23 431 74.8 21 857 37.5 1 501 39.8 8 461 27.9 5 732 Colfax County ------------------------ 12 925 1.5 12 726 63.9 12 020 44.8 438 26.9 3 384 21.3 3 551 Curry County ------------------------- 42 207 3.9 40 560 44.6 38 429 54.7 1 608 35.9 5 857 35.1 11 509 DeBaca County ----------------------- 2 252 3.9 2 164 60.0 2 111 38.5 68 19.1 425 26.6 651 Dona Ana County --------------------- 135 510 15.0 115 171 46.2 123 880 50.7 15 776 37.2 46 052 37.0 33 471 Eddy County ------------------------- 48 605 3.9 46 686 54.5 44 875 43.0 3 120 36.8 10 211 38.2 13 336 Grant County------------------------- 27 676 3.6 26 667 61.3 25 604 44.6 2 174 23.3 8 743 23.0 7 525 Guadalupe County --------------------- 4 156 2.8 4 041 86.4 3 842 25.0 533 22.5 2 369 23.4 1 160 Harding County ----------------------- 987 .4 983 69.7 921 31.1 63 23.8 356 33.4 281 Hidalgo County ----------------------- 5 958 6.6 5 567 58.0 5 450 47.5 554 44.6 1 994 23.1 1 628 Lea County -------------------------- 55 765 7.2 51 755 39.7 50 990 47.2 4 284 29.3 9 196 41.8 15 176 Lincoln County ------------------------ 12 219 4.1 11 721 50.2 11 420 48.5 512 28.9 2 139 28.5 3 442 Los Alamos County -------------------- 18 115 4.6 17 275 31.1 16 999 45.3 128 48.4 1 431 26.3 5 332 Luna County ------------------------- 18 110 13.7 15 620 47.0 16 797 43.8 1 887 31.5 5 295 47.8 5 071 

McKinley County ---------------------- 60 686 1.8 59 580 76.4 53 144 34.1 8 794 45.6 26 347 39.7 13 490 Mora County ------------------------- 4 264 .5 4 241 85.1 3 988 31.0 526 47.3 2 584 26.2 1 117 

Otero County------------------------- 51 928 5.7 48 963 37.3 47 051 57.4 1 681 28.7 8 354 28.2 13 994 Quay County ------------------------- 10 823 1.7 10 639 59.9 10 061 42.4 311 43.1 2 466 25.1 3 183 Rio Arriba County --------------------- 34 365 1.3 33 923 84.1 31 229 33.5 4 286 39.7 18 353 29.2 8 946 Roosevelt County---------------------- 16 702 5.7 15 756 54.9 15 444 52.7 868 27.5 2 523 37.3 4 176 Sandoval County ---------------------- 63 319 3.6 61 047 55.2 57 103 48.5 4 451 39.1 16 162 29.0 16 762 San Juan County ---------------------- 91 605 1.2 90 509 56.7 82 731 43.4 5 731 39.0 21 974 39.1 23 074 San Miguel County -------------------- 25 743 2.1 25 207 80.9 23 671 39.4 3 084 34.2 13 379 30.9 6 345 Santa Fe County ---------------------- 98 928 4.1 94 885 57.2 91 923 48.5 5 048 37.6 30 714 24.9 25 199 Sierra County ------------------------ 9 912 4.8 9 440 40.6 9 359 48.5 353 23.5 1 755 27.3 2 883 Socorro County ----------------------- 14 764 5.5 13 958 67.9 13 587 47.7 1 126 45.5 5 098 33.1 3 799 Taos County ------------------------- 23 118 1.9 22 671 70.3 21 328 38.5 2 256 19.0 10 949 21.8 6 244 Torrance County ---------------------- 10 285 2.2 10 057 60.9 9 489 43.3 459 28.5 2 308 22.3 2 798 Union County------------------------- 4 124 3.1 3 997 61.3 3 811 43.7 133 15.0 890 27.6 1 159 Valencia County----------------------- 45 235 2.7 44 008 64.6 41 408 47.5 2 040 26.5 13 045 21.9 12 138 PLACE AND COUNTY SUBDIVISION Acomita Lake CDP, Cibola County--------- 269 – 269 95.9 236 30.9 26 34.6 124 38.7 53 Agua Fria CDP, Santa Fe County --------- 3 583 6.3 3 359 70.7 3 292 49.7 264 64.0 1 221 36.7 1 027 Alamogordo city, Otero County ---------- 27 596 6.1 25 901 33.4 25 235 56.9 799 35.9 4 404 27.4 7 745 Albuquerque city, Bernalillo County-------- 384 736 5.5 363 426 47.8 356 525 54.8 12 469 36.0 77 740 29.6 100 170 Alcalde CDP, Rio Arriba County ---------- 317 – 317 85.5 291 13.7 55 47.3 180 19.4 82 Angel Fire village, Colfax County --------- 107 – 107 56.1 94 92.6 –––– 33 Anthony CDP, Dona Ana County---------- 5 107 39.6 3 085 34.7 4 478 38.0 1 396 34.6 2 600 42.5 1 178 Artesia city, Eddy County--------------- 10 610 3.8 10 204 55.5 9 734 41.0 664 57.8 2 359 35.1 2 968 Aztec city, San Juan County ------------ 5 479 2.7 5 330 42.6 4 957 58.3 131 25.2 793 28.5 1 400 Bayard city, Grant County -------------- 2 455 7.7 2 266 80.3 2 292 29.9 455 25.9 1 368 35.5 675 Belen city, Valencia County ------------- 6 547 2.8 6 363 74.9 5 893 42.9 377 59.4 2 439 28.8 1 730 Bernalillo town, Sandoval County --------- 5 960 4.0 5 721 79.2 5 367 41.1 575 4.9 2 503 14.6 1 563 Black Rock CDP, McKinley County--------- 832 – 832 84.5 710 56.2 220 79.5 342 59.6 166 Bloomfield city, San Juan County --------- 5 214 1.7 5 125 49.6 4 769 54.5 220 20.9 885 26.4 1 388 Boles Acres CDP, Otero County ---------- 1 373 3.9 1 319 35.2 1 255 46.1 17 23.5 103 29.1 414 Bosque Farms village, Valencia County ----- 3 791 .8 3 762 53.9 3 509 41.2 38 28.9 632 6.2 1 116 Cannon AFB CDP, Curry County ---------- 3 312 5.6 3 128 12.1 2 785 97.7 50 – 296 19.3 741 Capitan village, Lincoln County ----------- 831 2.0 814 51.0 796 50.3 11 – 66 18.2 231 Carlsbad city, Eddy County-------------- 24 896 3.4 24 042 51.2 23 085 45.7 1 388 33.6 5 122 39.3 6 698 Carlsbad North CDP, Eddy County--------- 1 223 – 1 223 43.5 1 176 53.6 6 – 47 12.8 369 Carrizozo town, Lincoln County ---------- 1 057 .9 1 048 66.0 996 43.2 34 5.9 414 31.2 290 Causey village, Roosevelt County --------- 54 11.1 48 33.3 49 30.6 3 100.0 6 100.0 20 Central village, Grant County ------------ 1 835 5.4 1 735 81.8 1 655 39.7 235 32.3 977 29.0 490 Chama village, Rio Arriba County --------- 1 096 2.0 1 074 77.5 998 41.7 126 22.2 549 37.0 310 Chamisal CDP, Taos County ------------- 255 – 255 94.1 236 14.4 26 – 182 11.5 82 Chaparral CDP, Dona Ana County--------- 3 015 17.7 2 482 10.8 2 747 47.9 521 25.0 808 34.7 743 Chimayo CDP------------------------- 2 772 2.0 2 716 92.4 2 507 26.0 419 59.9 1 819 44.5 739 

Rio Arriba County ------------------- 2 129 2.0 2 087 93.0 1 933 29.8 346 59.0 1 392 46.2 572 Santa Fe County -------------------- 643 2.2 629 90.5 574 13.1 73 64.4 427 39.1 167 

Cimarron village, Colfax County ---------- 758 2.4 740 64.7 691 34.7 42 – 297 11.8 214 Clayton town, Union County------------- 2 424 3.8 2 333 66.8 2 255 46.0 93 14.0 664 25.2 702 Cloudcroft village, Otero County---------- 544 5.3 515 31.1 510 62.9 2 – 32 – 170 Clovis city, Curry County --------------- 30 954 3.5 29 872 48.2 28 387 51.0 1 251 36.6 4 832 34.7 8 519 Cochiti CDP, Sandoval County------------ 605 – 605 92.6 560 10.5 49 44.9 300 34.0 129 

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 7
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 8

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 2. S

electe

d

S

ocial Characteristics: 1990

mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]StateCountyPlace and [In Selected

States] CountySubdivision

All persons

Native

Persons 5 years and over Persons who speak a language other than English at home

Persons 5 to 17 years Persons 18 years and over

Total

Percent

foreign born Total

Percent born

in State of

residence Total

Percent living

in different

house in

1985 Total

Percent who

do not speak

English " very well" Total

Percent who

do not speak

English " very well" Total

Percent 

own ch

und

PLACE AND COUNTY SUBDIVISIONm

Con. Columbus village, Luna County ----------- 622 22.8 480 41.5 573 51.1 120 60.0 263 55.1 159 

Corona village, Lincoln County ----------- 233 – 233 74.7 215 37.2 6 – 43 14.0 66 Corrales village ----------------------- 5 467 2.8 5 315 48.3 5 088 44.7 235 24.7 1 081 14.1 1 557 

Bernalillo County -------------------- 549 .7 545 46.1 517 64.0 – – 66 – 175 Sandoval County -------------------- 4 918 3.0 4 770 48.6 4 571 42.6 235 24.7 1 015 15.0 1 382 

Crownpoint CDP, McKinley County -------- 2 131 – 2 131 85.6 1 704 24.4 271 68.3 933 35.4 409 Cuba village, Sandoval County ----------- 789 3.0 765 82.5 704 42.6 83 32.5 397 13.6 212 Cuyamungue CDP, Santa Fe County ------- 327 2.1 320 79.4 300 34.3 17 11.8 165 11.5 81 Deming city, Luna County--------------- 10 970 15.9 9 230 53.1 10 105 44.8 1 264 27.3 3 817 47.1 2 952 Des Moines village, Union County--------- 157 7.0 146 61.6 140 50.7 10 – 31 48.4 40 Dexter town, Chaves County ------------ 898 19.0 727 72.6 815 44.5 171 39.2 326 56.1 243 Dona Ana CDP, Dona Ana County -------- 881 17.9 723 78.7 796 27.9 131 38.9 478 47.7 213 Dora village, Roosevelt County ----------- 178 8.4 163 40.5 151 39.7 11 18.2 21 47.6 45 Dulce CDP, Rio Arriba County------------ 2 438 .2 2 434 88.5 2 104 37.3 148 22.3 804 16.2 523 Eagle Nest village, Colfax County --------- 191 – 191 48.2 184 52.7 13 – 46 28.3 55 Edgewood CDP ----------------------- 3 306 1.9 3 244 42.2 3 048 55.1 29 48.3 313 20.8 952 

Santa Fe County -------------------- 2 826 2.1 2 767 40.9 2 606 53.3 29 48.3 248 23.8 828 Torrance County -------------------- 480 .6 477 49.9 442 65.6 – – 65 9.2 124 

Eldorado at Santa Fe CDP, Santa Fe County - 2 311 3.2 2 237 26.2 2 192 71.6 72 – 164 – 672 Elida town, Roosevelt County ------------ 181 1.7 178 55.1 161 37.9 – – 14 64.3 51 Encino village, Torrance County----------- 140 2.1 137 92.0 133 36.8 8 100.0 88 60.2 37 Espanola city ------------------------- 8 389 2.0 8 224 81.7 7 625 39.8 935 27.6 4 477 19.5 2 257 

Rio Arriba County ------------------- 6 210 1.9 6 092 82.5 5 647 37.6 659 25.3 3 365 18.3 1 660 Santa Fe County -------------------- 2 179 2.2 2 132 79.3 1 978 46.0 276 33.0 1 112 23.1 597 

Estancia town, Torrance County ---------- 747 5.8 704 73.9 704 26.0 82 46.3 217 39.6 226 Eunice city, Lea County ---------------- 2 731 9.7 2 466 31.7 2 525 45.3 185 14.6 390 38.2 759 Farmington city, San Juan County -------- 33 997 1.6 33 451 43.1 30 889 50.8 1 009 32.8 4 258 31.9 9 086 Flora Vista CDP, San Juan County -------- 1 028 – 1 028 36.7 995 36.3 15 – 149 9.4 325 Floyd village, Roosevelt County ---------- 124 – 124 47.6 122 49.2 –––– 38 Folsom village, Union County ------------ 161 – 161 81.4 149 35.6 – – 7 – 30 Fort Sumner village, DeBaca County ------- 1 269 1.7 1 247 65.1 1 181 34.4 37 8.1 334 17.4 352 Gallup city, McKinley County ------------ 19 154 4.8 18 241 64.3 17 204 52.3 1 235 29.4 5 731 29.1 4 784 Grady village, Curry County ------------- 107 3.7 103 64.1 98 25.5 – – 8 – 33 Grants city, Cibola County -------------- 8 626 1.2 8 519 65.6 7 973 56.2 269 22.7 2 536 18.9 2 223 Grenville village, Union County ----------- 12 – 12 – 12 ––––– 4 Hagerman town, Chaves County---------- 978 11.8 863 65.7 886 42.3 130 30.0 368 40.5 264 Hatch village, Dona Ana County ---------- 1 158 20.2 924 63.1 1 052 34.0 181 18.8 499 34.1 278 Hobbs city, Lea County ---------------- 29 115 6.1 27 339 40.4 26 486 50.0 2 031 27.4 4 789 38.5 7 701 Holloman AFB CDP, Otero County--------- 5 891 4.9 5 601 14.2 4 961 89.0 140 21.4 533 31.0 1 329 Hope village, Eddy County -------------- 100 – 100 43.0 98 32.7 –––– 32 House village, Quay County ------------- 101 4.0 97 54.6 99 44.4 –––– 26 Hurley town, Grant County-------------- 1 534 3.9 1 474 66.9 1 443 27.0 146 18.5 610 30.7 433 Isleta Pueblo CDP---------------------- 1 734 .2 1 731 94.9 1 557 15.6 253 15.0 955 15.0 425 

Bernalillo County -------------------- 1 355 – 1 355 94.1 1 228 16.6 204 17.2 768 15.4 334 Valencia County--------------------- 379 .8 376 97.6 329 11.9 49 6.1 187 13.4 91 

Jaconita CDP, Santa Fe County----------- 368 6.3 345 58.3 349 45.8 39 38.5 141 25.5 101 Jal city, Lea County ------------------- 2 153 11.3 1 909 20.5 1 992 38.6 269 20.4 444 41.9 602 Jemez Pueblo CDP, Sandoval County ------ 1 409 .2 1 406 94.8 1 261 14.6 374 61.5 842 60.3 283 Jemez Springs village, Sandoval County ---- 456 5.7 430 52.6 426 41.5 9 33.3 87 19.5 116 Kirtland CDP, San Juan County----------- 3 552 1.1 3 514 57.3 3 180 36.4 212 37.3 533 18.4 853 La Cienega CDP, Santa Fe County--------- 1 035 7.7 955 79.0 835 31.4 71 56.3 383 20.9 270 Laguna CDP, Cibola County ------------- 449 – 449 86.0 393 26.0 14 – 259 7.3 107 Lake Arthur town, Chaves County -------- 319 8.5 292 74.3 286 17.8 39 15.4 119 38.7 85 La Luz CDP, Otero County -------------- 1 661 1.4 1 638 45.3 1 526 56.7 37 – 291 5.8 450 Las Cruces city, Dona Ana County -------- 62 126 9.5 56 199 49.9 57 376 56.3 4 466 33.4 17 430 30.8 15 732 Las Vegas city, San Miguel County ------- 14 753 1.2 14 583 83.3 13 629 40.7 1 909 42.2 8 040 32.0 3 586 Logan village, Quay County ------------- 856 1.6 842 50.8 811 43.0 14 – 145 9.7 274 Lordsburg city, Hidalgo County----------- 2 922 8.7 2 669 76.0 2 687 41.1 470 50.2 1 364 24.9 741 Los Alamos CDP, Los Alamos County ------ 11 420 5.6 10 780 31.2 10 765 48.7 119 52.1 1 073 27.4 3 294 Los Chaves CDP, Valencia County--------- 3 872 1.7 3 807 68.4 3 535 47.9 132 – 922 8.6 1 139 Los Lunas village, Valencia County -------- 6 013 2.1 5 889 67.4 5 444 54.9 332 3.3 1 863 20.7 1 579 Los Ranchos de Albuquerque village, Bernalillo County ------------------------- 3 955 3.3 3 825 50.2 3 755 37.0 97 24.7 773 43.5 1 084 Los Trujillos-Gabaldon CDP, Valencia County - 1 811 .3 1 805 72.3 1 710 38.4 181 80.1 652 39.6 505 Loving village, Eddy County ------------- 1 243 7.1 1 155 73.2 1 124 42.0 227 21.1 583 34.1 316 

8 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 9

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 2. S

electe

d

S

ocial Characteristics: 1990

mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]StateCountyPlace and [In Selected

States] CountySubdivision

All persons

Native

Persons 5 years and over Persons who speak a language other than English at home

Persons 5 to 17 years Persons 18 years and over

Total

Percent

foreign born Total

Percent born

in State of

residence Total

Percent living

in different

house in

1985 Total

Percent who

do not speak

English " very well" Total

Percent who

do not speak

English " very well" Total

Percent 

own ch

und

PLACE AND COUNTY SUBDIVISIONm

Con.

Lovington city, Lea County -------------- 9 267 11.9 8 161 46.1 8 430 44.7 1 172 31.5 2 261 50.5 2 467 

Magdalena village, Socorro County-------- 883 .3 880 81.3 819 33.0 70 72.9 362 54.4 239 Maxwell village, Colfax County ---------- 257 1.6 253 60.1 234 51.3 4 – 88 17.0 77 Meadow Lake CDP, Valencia County------- 1 571 6.2 1 473 47.9 1 388 73.3 34 44.1 308 24.4 416 Melrose village, Curry County------------ 669 1.8 657 49.8 626 30.4 9 – 23 43.5 197 Mescalero CDP, Otero County------------ 1 159 .4 1 154 87.7 1 013 26.9 33 51.5 383 43.6 255 Mesilla town, Dona Ana County ---------- 1 975 6.3 1 850 58.2 1 860 32.3 178 25.8 832 21.9 524 Mesita CDP, Cibola County-------------- 656 .3 654 93.3 603 7.1 49 – 325 21.2 146 Mexican Springs CDP, McKinley County ---- 190 – 190 92.6 162 4.3 56 87.5 92 45.7 28 1Milan village, Cibola County ------------- 1 911 2.1 1 870 71.2 1 712 35.0 125 34.4 540 22.4 468 Moriarty city, Torrance County----------- 1 399 .7 1 389 56.1 1 268 43.1 59 6.8 285 9.8 390 Mosquero village ---------------------- 158 – 158 88.0 156 33.3 27 22.2 87 1.1 43 

Harding County --------------------- 158 – 158 88.0 156 33.3 27 22.2 87 1.1 43 San Miguel County ------------------ – ––––––––––

Mountainair town, Torrance County ------- 913 .5 908 68.7 857 34.9 75 6.7 239 19.2 240 Nambe CDP, Santa Fe County ----------- 1 246 1.9 1 222 80.5 1 169 38.3 106 29.2 629 21.8 333 Naschitti CDP, San Juan County ---------- 490 – 490 89.0 423 11.6 34 55.9 335 37.0 80 Navajo CDP, McKinley County ----------- 1 927 – 1 927 16.6 1 680 62.1 61 – 754 12.3 382 Newcomb CDP, San Juan County --------- 380 – 380 85.3 336 38.4 43 20.9 183 61.2 87 North Acomita Village CDP, Cibola County -- 308 – 308 90.3 283 22.6 27 55.6 162 14.8 70 North Valley CDP, Bernalillo County ------- 12 507 3.5 12 068 67.8 11 592 41.7 459 19.4 4 021 26.1 3 301 Ojo Amarillo CDP, San Juan County ------- 1 045 – 1 045 82.2 875 73.9 144 48.6 339 31.6 201 Paguate CDP, Cibola County ------------- 543 1.7 534 87.1 483 17.2 – – 191 38.7 136 Paradise Hills CDP, Bernalillo County------- 5 499 3.8 5 290 33.3 5 180 48.3 122 50.0 557 25.1 1 623 Paraje CDP, Cibola County -------------- 532 – 532 81.6 525 27.8 20 – 199 25.6 118 Pecos village, San Miguel County --------- 1 037 5.5 980 80.2 923 41.9 80 11.3 520 27.1 286 Pena Blanca CDP, Sandoval County-------- 344 23.3 264 84.5 331 47.1 67 58.2 215 37.2 72 Penasco CDP, Taos County -------------- 658 1.5 648 89.4 594 79.1 132 19.7 390 37.4 167 Peralta CDP, Valencia County ------------ 3 170 3.4 3 061 60.7 2 927 42.0 202 4.0 877 22.1 868 Placitas CDP, Sandoval County ----------- 1 592 3.8 1 531 35.3 1 503 61.3 53 22.6 202 3.0 496 Pojoaque CDP, Santa Fe County ---------- 1 037 1.6 1 020 68.5 946 51.3 100 19.0 415 23.1 273 Portales city, Roosevelt County----------- 10 690 6.6 9 989 52.5 9 870 58.5 666 30.6 1 962 39.8 2 505 Questa village, Taos County ------------- 1 687 1.2 1 667 75.2 1 563 28.0 154 3.2 888 20.7 443 Ranchos De Taos CDP, Taos County ------- 1 625 2.5 1 584 73.4 1 506 38.6 129 15.5 744 23.3 479 Raton city, Colfax County -------------- 7 372 1.5 7 264 67.4 6 831 43.2 196 42.9 1 978 28.5 2 030 Red River town, Taos County ------------ 407 2.0 399 27.3 376 64.4 – – 27 44.4 139 Reserve village, Catron County ----------- 317 – 317 43.5 288 38.9 22 – 63 6.3 97 Rio Communities CDP, Valencia County----- 3 233 3.2 3 130 36.3 3 088 62.6 62 30.6 597 25.6 1 027 Rio Rancho city, Sandoval County--------- 32 505 4.6 31 018 35.4 29 218 63.3 518 27.8 3 821 21.7 9 358 Roswell city, Chaves County------------- 44 654 6.4 41 790 51.9 41 029 50.1 2 358 31.9 8 678 39.7 11 765 Roy village, Harding County ------------- 380 – 380 76.8 349 25.5 14 64.3 193 46.1 112 Ruidoso village, Lincoln County----------- 4 600 5.2 4 360 35.5 4 304 59.3 141 5.7 561 24.1 1 353 Ruidoso Downs village, Lincoln County ----- 920 10.3 825 52.2 834 39.0 58 32.8 262 38.2 249 Sandia CDP, Bernalillo County------------ 6 742 4.9 6 412 19.1 5 655 92.4 158 10.1 722 28.1 1 722 Sandia Heights CDP, Bernalillo County ----- 3 519 2.8 3 421 22.3 3 338 60.5 40 20.0 180 16.1 1 125 San Felipe Pueblo CDP, Sandoval County --- 1 557 – 1 557 98.1 1 366 15.4 396 62.1 892 42.0 265 San Ildefonso Pueblo CDP, Santa Fe County - 424 .5 422 79.1 389 9.5 51 19.6 208 4.3 104 San Jon village, Quay County------------ 275 – 275 57.8 243 53.5 15 – 41 4.9 83 San Juan CDP, Rio Arriba County --------- 371 – 371 93.8 344 24.4 16 37.5 218 12.8 90 Sanostee CDP, San Juan County---------- 657 – 657 91.9 618 19.6 193 38.9 403 32.0 184 Santa Ana Pueblo CDP, Sandoval County --- 495 .4 493 91.9 434 51.2 50 58.0 237 41.4 102 Santa Clara Pueblo CDP, Rio Arriba County-- 1 156 .6 1 149 86.2 1 055 28.3 146 39.0 603 31.5 296 Santa Cruz CDP, Santa Fe County -------- 2 500 2.2 2 444 76.7 2 316 39.7 297 39.4 1 158 37.5 662 Santa Fe city, Santa Fe County ---------- 55 993 4.5 53 456 54.4 52 400 48.5 2 197 38.4 16 975 24.9 13 981 Santa Rosa city, Guadalupe County ------- 2 249 3.4 2 173 88.5 2 035 24.6 280 33.2 1 276 20.8 612 Santo Domingo Pueblo CDP, Sandoval

County ---------------------------- 2 651 1.1 2 622 97.3 2 343 5.3 704 45.7 1 419 34.7 340 

San Ysidro village, Sandoval County------- 189 – 189 88.9 175 44.6 13 – 100 11.0 52 Seama CDP, Cibola County-------------- 398 – 398 73.1 364 13.7 32 6.3 131 15.3 78 Shiprock CDP, San Juan County ---------- 7 687 .2 7 671 80.5 6 741 24.0 809 55.4 3 860 35.8 1 647 Silver City town, Grant County----------- 10 683 3.4 10 315 59.8 9 873 51.5 694 19.9 3 454 18.5 2 862 Skyline-Ganipa CDP, Cibola County -------- 956 – 956 94.7 873 12.6 140 30.7 459 23.7 188 Socorro city, Socorro County ------------ 8 159 7.9 7 514 62.9 7 515 54.9 479 17.7 2 718 24.0 2 057 South Valley CDP, Bernalillo County ------- 35 701 6.2 33 505 79.1 32 543 35.3 2 706 36.2 14 032 32.4 9 011 Springer town, Colfax County------------ 1 252 .9 1 241 76.6 1 172 38.6 68 4.4 531 9.4 349 Sunland Park city, Dona Ana County ------ 8 179 45.0 4 501 6.2 7 365 14.6 2 535 73.5 4 725 77.3 1 748 

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 9
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 10

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 2. S

electe

d

S

ocial Characteristics: 1990

mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]StateCountyPlace and [In Selected

States] CountySubdivision

All persons

Native

Persons 5 years and over Persons who speak a language other than English at home

Persons 5 to 17 years Persons 18 years and over

Total

Percent

foreign born Total

Percent born

in State of

residence Total

Percent living

in different

house in

1985 Total

Percent who

do not speak

English " very well" Total

Percent who

do not speak

English " very well" Total

Percent 

own ch

und

PLACE AND COUNTY SUBDIVISIONm

Con.

Taos town, Taos County --------------- 4 065 2.1 3 979 64.1 3 818 44.3 379 19.5 1 700 13.9 1 106 Taos Pueblo CDP, Taos County ----------- 1 187 .6 1 180 92.7 1 080 32.0 183 32.2 748 28.1 307 Tatum town, Lea County --------------- 771 13.4 668 44.5 719 42.1 72 29.2 110 45.5 219 Tesuque CDP, Santa Fe County----------- 1 522 2.5 1 484 56.3 1 433 52.9 100 22.0 585 31.3 402 Texico city, Curry County --------------- 962 13.7 830 48.8 894 51.6 74 8.1 234 47.4 238 Tijeras village, Bernalillo County ---------- 319 .9 316 56.3 298 51.7 38 57.9 74 23.0 69 Tohatchi CDP, McKinley County ---------- 705 1.1 697 62.6 657 17.8 37 45.9 287 25.4 189 Tome-Adelino CDP, Valencia County ------- 1 572 2.2 1 538 77.3 1 478 25.8 62 – 694 19.3 441 Truth or Consequences city, Sierra County -- 6 216 3.8 5 978 39.8 5 904 52.4 191 36.6 1 009 32.8 1 731 Tucumcari city, Quay County ------------ 6 831 1.1 6 757 62.9 6 328 44.4 258 46.9 2 030 27.3 1 966 Tularosa village, Otero County ----------- 2 615 2.3 2 555 66.9 2 414 39.6 105 10.5 783 16.1 686 University Park CDP, Dona Ana County----- 4 520 7.7 4 171 50.9 4 232 95.4 51 37.3 958 23.1 503 Vadito CDP, Taos County --------------- 290 – 290 89.7 271 36.9 30 16.7 178 15.2 75 Valencia CDP, Valencia County ----------- 3 917 2.8 3 809 57.1 3 575 49.1 175 17.1 912 23.8 1 041 Vaughn town, Guadalupe County --------- 638 1.9 626 85.0 620 22.4 85 5.9 362 10.2 187 Virden village, Hidalgo County ----------- 167 – 167 13.8 130 58.5 – – 9 – 34 Wagon Mound village, Mora County ------ 339 2.1 332 90.4 317 59.6 76 77.6 207 38.2 94 White Rock CDP, Los Alamos County ------ 6 192 3.2 5 992 30.0 5 798 38.4 9 – 346 20.5 1 898 White Sands CDP, Dona Ana County ------ 2 616 4.7 2 492 10.5 2 248 94.8 72 6.9 355 23.9 667 Willard village, Torrance County ---------- 196 5.6 185 85.9 176 34.7 11 18.2 111 18.9 48 Williamsburg village, Sierra County-------- 461 2.0 452 35.4 412 40.8 4 – 63 6.3 133 Zia Pueblo CDP, Sandoval County--------- 638 – 638 98.1 573 27.7 124 54.0 350 50.9 137 Zuni Pueblo CDP, McKinley County -------- 5 883 .2 5 870 95.6 5 273 15.7 1 339 68.0 3 533 50.3 1 163 

10 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 11

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 3. Education and Veteran Status: 1990

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Persons 3 years and over enrolled in school

Elementary or high

school

Persons 16 to 19 years

Not enrolled in school and not high school

graduate

Persons 25 years and over Civilian veterans 16

years and over

Preprimary

school Total

Percent

in private

school College Total Total Employed

Unemployed

Not in

labor

force Total

Percent

high school

graduate

or higher

Percent

with bachelor’s

degree or

higher Total

65 years

and over

The State ------------------- 24 322 301 552 5.6 110 115 88 998 10 443 3 642 2 036 4 747 922 590 75.1 20.4 178 022 43 593

Bernalillo County ---------------------- 8 324 82 555 8.5 42 507 25 200 2 727 1 162 492 1 069 306 632 82.1 26.7 63 044 14 766

Albuquerque division ----------------- 7 953 79 389 8.6 41 745 24 516 2 646 1 117 481 1 044 296 571 82.1 26.8 60 869 14 413

Albuquerque city (pt.) -------------- 6 680 63 073 8.7 36 912 20 348 2 174 937 418 815 248 612 83.9 28.4 51 816 12 435

Corrales village (pt.) --------------- 8 66 39.4 36 19 –––– 411 96.8 48.7 97 45

Los Ranchos de Albuquerque village ---- 96 774 15.9 259 208 4 2 – 2 2 627 83.1 38.2 536 130

North Valley CDP------------------ 105 2 237 10.2 643 567 71 15 – 56 8 157 71.0 16.6 1 591 438

Paradise Hills CDP ----------------- 123 1 099 9.1 459 352 22 17 – 5 3 533 90.4 27.6 896 193 Sandia CDP ---------------------- 116 1 131 3.4 813 275 24 11 – 13 2 985 94.0 12.4 538 – Sandia Heights CDP ---------------- 48 573 10.1 271 229 6 – – 6 2 512 97.9 65.5 605 69

South Valley CDP------------------ 532 7 951 7.2 1 626 1 961 298 116 63 119 21 083 60.1 8.9 3 597 878

Bernalillo East division ---------------- 249 2 315 7.3 595 477 49 36 3 10 8 286 86.3 28.3 1 916 301

Tijeras village--------------------- – 94 11.7 13 24 –––– 176 78.4 6.8 50 5

Bernalillo West division --------------- 58 322 6.5 22 76 9 – 4 5 552 51.1 3.1 38 3

Albuquerque city (pt.) -------------- – –– – – – – – – – – – – – Isleta Pueblo division ----------------- 64 529 2.5 145 131 23 9 4 10 1 223 66.3 5.3 221 49

Isleta Pueblo CDP (pt.) ------------- 39 328 2.4 106 66 13 3 2 8 769 61.5 6.1 151 37

Catron County ------------------------ 23 490 2.9 100 130 4 – 4 – 1 717 73.3 18.7 493 116

Quemado division ------------------- 12 176 8.0 33 28 –––– 578 66.8 26.1 186 11

Reserve division --------------------- 11 314 – 67 102 4 – 4 – 1 139 76.6 14.9 307 105

Reserve village-------------------- 3 57 – 5 17 4 – 4 – 215 65.1 12.6 45 13

Chaves County------------------------ 709 12 171 3.7 3 040 3 965 477 201 75 201 34 723 67.3 14.3 6 446 2 040

Dexter division --------------------- 22 545 – 98 158 13 7 – 6 1 097 57.4 14.0 163 23

Dexter town --------------------- 12 240 – 36 69 3 – – 3 487 48.5 12.7 38 15

Hagerman division ------------------- 11 514 – 63 126 21 6 1 14 1 270 53.5 5.9 129 30

Hagerman town------------------- 2 243 – 11 66 13 6 1 6 566 48.9 6.0 48 15

Lake Arthur town ----------------- 4 59 – 7 16 8 – – 8 169 50.9 4.1 11 –

Northeast Chaves division ------------- – 7 – 6 ––––– 72 79.2 13.9 44

Northwest Chaves division ------------- 21 574 – 135 107 9 5 – 4 1 437 71.7 13.6 290 71

Roswell city (pt.)------------------ – 10 – – ––––– 12 100.0 100.0 – –

Roswell division --------------------- 620 9 225 4.9 2 354 3 032 334 138 67 129 27 653 69.1 15.4 5 294 1 819

Roswell city (pt.)------------------ 592 8 776 4.8 2 267 2 899 334 138 67 129 26 224 69.1 15.2 5 029 1 744

Southeast Chaves division ------------- 23 292 – 51 69 7 – – 7 818 65.8 10.1 128 14

Southwest Chaves division ------------- 12 1 014 .8 333 473 93 45 7 41 2 376 55.4 7.1 438 79

Roswell city (pt.)------------------ 5 395 – 219 300 52 18 – 34 759 75.6 9.9 193 23

Cibola County ------------------------ 414 5 905 6.8 962 1 598 230 25 68 137 13 583 66.7 8.8 2 516 441

Fence Lake division ------------------ – 16 – – 7 –––– 71 63.4 – 18 4

Grants division---------------------- 268 4 408 8.1 790 1 176 157 21 58 78 10 229 67.4 9.7 1 987 348

Acomita Lake CDP ----------------- 5 67 19.4 10 15 3 – – 3 122 68.9 7.4 21 6

Grants city ---------------------- 96 2 164 9.4 388 576 59 9 35 15 5 069 71.8 12.7 1 015 165

Milan village --------------------- 20 470 3.2 89 123 32 4 2 26 1 023 59.8 3.2 185 33

North Acomita Village CDP----------- 15 73 20.5 13 19 2 – 2 – 181 57.5 3.3 27 4

Skyline-Ganipa CDP ---------------- 29 319 9.7 48 81 11 2 2 7 438 68.9 5.0 88 9

Laguna division --------------------- 94 1 101 2.4 99 268 38 2 5 31 2 396 68.8 4.4 429 75

Laguna CDP---------------------- 8 78 – 22 31 7 – 5 2 269 76.2 4.1 61 24

Mesita CDP ---------------------- 21 184 – 22 78 12 – – 12 313 60.4 2.2 66 –

Paguate CDP --------------------- 20 104 – 6 12 –––– 303 77.9 4.0 53 15

Paraje CDP ---------------------- 3 153 2.0 16 34 5 – – 5 329 75.4 14.3 55 19

Seama CDP ---------------------- 19 79 5.1 19 17 –––– 255 66.7 2.0 36 5

Zuni-Ramah Navajo division ------------ 52 380 4.2 73 147 35 2 5 28 887 53.4 11.0 82 14

Colfax County ------------------------ 111 2 803 3.7 474 905 92 22 11 59 8 329 71.1 14.7 1 755 541

Cimarron division -------------------- 41 357 2.8 46 89 15 4 6 5 1 335 75.8 17.9 308 60

Angel Fire village ------------------ 3 23 – – 7 4 – – 4 44 88.6 15.9 3 – Cimarron village------------------- 17 147 – 18 27 4 – 3 1 494 65.4 11.1 76 23 Eagle Nest village ----------------- 4 30 13.3 13 ––––– 150 82.0 22.0 29 7

Raton division ---------------------- 44 1 804 4.9 349 501 61 14 2 45 5 432 72.0 13.6 1 108 365

Maxwell village (pt.) --------------- – –– – – – – – – – – – – – Raton city ----------------------- 35 1 545 5.2 309 437 47 – 2 45 4 789 70.0 12.3 988 317

Springer division -------------------- 26 642 1.1 79 315 16 4 3 9 1 562 64.1 15.8 339 116

Maxwell village (pt.) --------------- – 47 – 11 12 –––– 166 69.9 22.9 32 7

Springer town -------------------- 23 258 .8 45 85 10 4 3 3 818 56.5 12.6 166 52

Curry County ------------------------- 814 8 273 2.7 3 434 2 595 275 69 63 143 24 597 75.8 13.7 4 639 910

Broadview division ------------------- 2 69 – 35 31 –––– 288 93.1 24.0 62 12

Grady village --------------------- 2 25 – 24 14 –––– 63 90.5 42.9 15 3

Clovis division ---------------------- 779 8 006 2.8 3 341 2 495 269 65 63 141 23 563 75.9 13.7 4 484 884

Cannon AFB CDP ------------------ 181 463 5.6 420 233 –––– 1 358 97.7 14.1 158 –

Clovis city ----------------------- 367 6 006 2.7 2 478 1 889 231 54 58 119 18 681 74.1 13.8 3 710 763

Texico city----------------------- 22 262 1.1 37 66 6 4 2 – 526 57.0 7.4 50 13

Melrose division--------------------- 33 198 – 58 69 6 4 – 2 746 67.4 11.3 93 14

Melrose village ------------------- 6 100 – 44 51 6 4 – 2 461 57.5 8.2 61 14

DeBaca County ----------------------- 35 373 .5 36 100 4 – 4 – 1 559 63.0 11.4 278 112

East De Baca division ---------------- 32 328 .6 33 87 3 – 3 – 1 425 62.7 10.7 257 98

Fort Sumner village ---------------- 13 193 1.0 10 52 3 – 3 – 903 57.6 8.7 167 72

West De Baca division ---------------- 3 45 – 3 13 1 – 1 – 134 65.7 19.4 21 14

Dona Ana County --------------------- 1 369 28 115 3.2 17 004 9 864 1 150 322 265 563 75 367 70.4 21.9 14 261 3 176

Anthony division -------------------- 223 4 827 1.2 939 1 299 315 74 70 171 8 609 51.6 5.7 1 273 234

Anthony CDP --------------------- 62 1 531 .8 291 461 75 16 17 42 2 295 35.0 1.0 212 59

Chaparral CDP -------------------- 37 758 1.2 126 240 119 8 27 84 1 521 64.5 3.7 396 49

Dona Ana-Hill division ---------------- 208 3 440 1.1 1 006 935 129 41 56 32 9 160 72.5 20.8 1 977 355

Dona Ana CDP-------------------- – 211 – 36 61 13 – 13 – 508 38.4 5.7 59 20

Las Cruces city (pt.) --------------- 78 566 – 235 190 43 10 26 7 1 925 80.9 26.8 471 106

Fairacres division -------------------- 30 622 6.8 365 183 11 2 4 5 2 653 82.2 21.3 706 134

Mesilla town (pt.) ----------------- – –– – – – – – – – – – – –

Hatch division ---------------------- 26 1 017 – 41 208 17 8 – 9 2 098 45.6 6.9 362 115

Hatch village --------------------- 7 294 – 13 72 6 2 – 4 620 45.5 6.0 95 27

Las Cruces division------------------- 749 13 607 4.8 13 634 5 896 434 117 107 210 43 141 78.6 28.7 8 906 2 146

Las Cruces city (pt.) --------------- 571 10 723 5.2 8 767 3 597 314 108 40 166 34 953 79.0 29.3 7 359 1 866

Mesilla town (pt.) ----------------- 22 362 – 197 137 9 4 3 2 1 297 72.2 31.8 212 52

University Park CDP ---------------- 48 338 10.4 3 614 1 471 –––– 780 98.5 37.3 142 –

South Dona Ana division -------------- 70 4 092 2.6 717 1 223 233 74 28 131 8 501 45.1 8.8 796 185

Sunland Park city------------------ 27 2 469 1.3 295 743 142 45 20 77 3 806 21.8 .5 79 7

White Sands division ----------------- 63 510 – 302 120 11 6 – 5 1 205 92.9 19.1 241 7

White Sands CDP------------------ 63 510 – 302 120 11 6 – 5 1 205 92.9 19.1 241 7

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 11
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 12

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 3. Education and Veteran Status: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Persons 3 years and over enrolled in school

Elementary or high

school

Persons 16 to 19 years

Not enrolled in school and not high school

graduate

Persons 25 years and over Civilian veterans 16

years and over

Preprimary

school Total

Percent

in private

school College Total Total Employed

Unemployed

Not in

labor

force Total

Percent

high school

graduate

or higher

Percent

with bachelor’s

degree or

higher Total

65 years

and over

Eddy County ------------------------- 689 10 790 2.6 2 010 2 767 268 102 51 115 30 216 67.3 10.9 5 059 1 563

Artesia division --------------------- 150 3 396 – 396 779 97 33 23 41 8 844 64.2 11.0 1 343 400

Artesia city ---------------------- 113 2 400 – 323 569 41 11 23 7 6 494 64.7 12.1 1 056 324

Hope village --------------------- – 15 – 3 11 –––– 77 64.9 11.7 20 7

Carlsbad division -------------------- 485 6 871 4.0 1 550 1 839 158 66 26 66 20 102 69.4 11.3 3 572 1 123

Carlsbad city --------------------- 396 5 161 4.3 1 290 1 394 131 60 20 51 15 977 68.9 11.5 2 850 992

Carlsbad North CDP ---------------- 48 239 4.6 33 81 –––– 833 86.6 29.4 167 55

Loco Hills division ------------------- 14 102 – – 26 –––– 194 72.7 – 24 7

Loving division---------------------- 40 421 – 64 123 13 3 2 8 1 076 51.5 4.6 120 33

Loving village--------------------- 24 277 – 49 75 11 3 2 6 707 42.3 3.8 70 21

Grant County------------------------- 265 6 227 2.5 1 809 1 805 140 25 37 78 16 811 70.5 16.4 3 451 1 055

Bayard-Santa Rita division ------------- 22 900 – 83 200 9 – 9 – 2 148 59.2 7.6 337 92

Bayard city ---------------------- 14 654 – 76 152 9 – 9 – 1 467 57.2 5.3 224 44

Hurley town (pt.) ----------------- – –– – – – – – – – – – – – Central division --------------------- 49 727 3.2 155 230 40 5 4 31 1 834 59.4 7.6 406 122

Central village -------------------- 27 432 .5 81 116 23 5 4 14 1 017 53.1 4.8 211 54

Hurley division ---------------------- 10 406 – 86 99 11 – 11 – 1 254 68.5 8.7 253 81

Hurley town (pt.) ----------------- 10 352 – 65 83 11 – 11 – 984 68.4 8.6 191 61

Mimbres division -------------------- 9 197 – 46 79 7 7 – – 713 60.6 13.5 188 89

Pinos Altos division ------------------ 23 168 4.2 32 27 –––– 651 80.3 25.8 146 35

Silver City division ------------------- 139 3 400 3.4 1 259 1 055 73 13 13 47 9 079 74.7 21.2 1 817 573

Silver City town------------------- 85 2 324 4.4 984 813 45 – 13 32 6 264 72.5 19.7 1 222 388 Tyrone division --------------------- 13 429 2.3 148 115 –––– 1 132 79.3 14.3 304 63

Guadalupe County --------------------- 71 869 .7 107 249 20 11 – 9 2 564 57.8 6.1 403 135

Dilia division ----------------------- 26 97 – 25 38 6 – – 6 342 38.6 4.7 49 18

Santa Rosa division ------------------ 40 616 1.0 80 162 14 11 – 3 1 730 62.5 7.3 256 87

Santa Rosa city ------------------- 30 493 – 58 143 12 9 – 3 1 329 59.5 7.4 224 71

Vaughn division --------------------- 5 156 – 2 49 –––– 492 54.3 2.6 98 30

Vaughn town--------------------- 5 133 – 2 43 –––– 430 57.0 3.0 81 23

Harding County ----------------------- 23 200 1.0 23 40 3 – – 3 645 65.9 15.7 161 60

North Harding division ---------------- 20 161 1.2 23 29 3 – – 3 533 62.3 14.3 140 52

Mosquero village (pt.)-------------- 5 35 5.7 2 81 – – 1 109 60.6 11.0 23 12

Roy village ---------------------- – 67 – 14 8 –––– 258 55.8 17.1 74 28

South Harding division ---------------- 3 39 – – 11 –––– 112 83.0 22.3 21 8

Hidalgo County ----------------------- 59 1 342 1.0 148 357 26 5 7 14 3 462 71.6 11.7 588 147

North Hidalgo division ---------------- 51 1 081 1.2 137 294 26 5 7 14 2 662 66.5 10.1 417 124

Lordsburg city -------------------- 27 656 – 83 187 21 – 7 14 1 679 58.0 7.9 295 91

Virden village--------------------- 9 49 – – ––––– 75 88.0 33.3 99

South Hidalgo division ---------------- 8 261 – 11 63 –––– 800 88.5 17.1 171 23

Lea County -------------------------- 833 12 859 3.1 2 765 3 497 610 200 104 306 32 383 63.8 11.5 5 405 1 541

Eunice division ---------------------- – 800 6.9 84 256 61 10 – 51 1 712 52.1 5.7 279 65

Eunice city----------------------- – 763 7.2 70 241 61 10 – 51 1 533 54.8 6.4 249 53

Hobbs division ---------------------- 609 8 163 3.6 2 019 2 283 415 153 76 186 21 428 67.5 13.2 3 618 960

Hobbs city----------------------- 483 6 571 4.3 1 699 1 831 290 79 44 167 16 732 66.4 13.4 2 772 790

Jal division ------------------------ 24 536 .6 65 124 28 6 3 19 1 429 56.7 4.5 252 73

Jal city ------------------------- 24 514 .6 62 116 28 6 3 19 1 315 56.0 4.5 243 68

Lovington division ------------------- 182 3 065 1.7 558 732 99 28 25 46 6 935 57.0 9.4 1 127 393

Lovington city -------------------- 137 2 330 2.3 426 550 89 28 17 44 5 162 53.5 9.6 799 294

Tatum division ---------------------- 18 295 – 39 102 7 3 – 4 879 59.4 8.3 129 50

Tatum town---------------------- 13 208 – 20 78 4 – – 4 462 63.4 12.1 78 14

Lincoln County ------------------------ 143 2 177 1.1 338 589 91 35 24 32 8 321 77.1 16.1 1 685 523

Capitan division --------------------- 21 414 2.7 54 112 18 14 2 2 1 584 77.1 16.4 317 78

Capitan village-------------------- 10 144 4.9 18 44 9 9 – – 597 74.9 15.4 134 39

Ruidoso village (pt.) --------------- – –– – – – – – – – – – – –

Carrizozo division ------------------- 4 171 – 14 58 2 – 2 – 904 68.1 11.9 245 61

Carrizozo town ------------------- 2 156 – 13 53 2 – 2 – 765 65.1 9.5 201 48

Corona division --------------------- – 115 – 14 29 –––– 318 73.0 8.8 72 22

Corona village -------------------- – 51 – 4 10 –––– 139 58.3 7.9 40 12

Hondo division---------------------- – 220 – 26 13 –––– 604 64.2 10.3 87 23

Ruidoso division--------------------- 118 1 257 1.1 230 377 71 21 20 30 4 911 80.6 17.9 964 339

Ruidoso village (pt.) --------------- 80 775 1.8 152 235 45 19 8 18 3 186 81.7 19.3 603 218

Ruidoso Downs village -------------- 9 175 – 38 51 11 2 9 – 585 59.8 4.4 113 42

Los Alamos County -------------------- 496 3 236 3.8 1 288 892 52 31 16 5 12 543 94.7 53.4 2 532 574

Los Alamos division ------------------ 308 1 957 4.1 914 517 36 31 – 5 8 350 93.7 51.6 1 662 404

Los Alamos CDP ------------------ 300 1 882 3.5 876 494 36 31 – 5 8 106 94.0 52.8 1 610 396

White Rock division ------------------ 188 1 279 3.4 374 375 16 – 16 – 4 193 96.6 57.0 870 170

White Rock CDP------------------- 188 1 261 3.4 374 375 16 – 16 – 4 135 96.5 56.7 853 170

Luna County ------------------------- 137 3 920 .7 503 1 033 157 22 49 86 11 603 58.8 11.1 2 411 1 064

Deming North division ---------------- 106 3 210 .6 444 866 128 20 47 61 8 964 57.8 11.9 1 709 713

Deming city (pt.)------------------ 94 2 486 .2 279 688 103 20 38 45 6 742 55.4 11.3 1 258 543

Deming South division ---------------- 31 710 1.0 59 167 29 2 2 25 2 639 62.2 8.4 702 351

Columbus village ------------------ 15 126 1.6 6 58 21 2 2 17 379 38.0 9.5 84 57

Deming city (pt.)------------------ – –– – – – – – – – – – – –

McKinley County ---------------------- 1 352 15 534 6.5 2 819 4 124 483 111 53 319 30 888 58.5 11.1 3 953 738

Crownpoint division ------------------ 171 1 485 5.1 243 427 12 – – 12 2 337 41.2 6.1 198 27

Crownpoint CDP------------------- 106 451 14.0 164 169 –––– 964 64.7 14.7 89 16

Gallup division ---------------------- 309 4 689 8.7 1 155 1 262 192 70 36 86 12 007 73.8 15.9 2 043 367

Gallup city (pt.)------------------- 288 4 186 7.5 1 106 1 091 169 70 27 72 10 992 75.2 16.3 1 929 339

Red Rock division-------------------- 375 4 707 6.7 710 1 360 162 18 10 134 8 779 44.4 6.9 797 185

Gallup city (pt.)------------------- 5 37 – – 13 –––– 20 –– – –

Reservation division ------------------ 280 2 665 2.0 313 532 70 12 – 58 4 064 53.2 10.8 481 69

Mexican Springs CDP--------------- 7 77 – 15 21 –––– 63 88.9 – 7 –

Navajo CDP ---------------------- 66 628 – 133 111 –––– 844 72.5 14.7 121 –

Tohatchi CDP --------------------- – 163 11.0 19 17 –––– 447 74.9 36.2 38 –

Zuni division ----------------------- 217 1 988 7.9 398 543 47 11 7 29 3 701 58.6 9.1 434 90

Black Rock CDP ------------------- 34 272 8.8 33 33 –––– 388 61.9 25.5 37 –

Zuni Pueblo CDP ------------------ 172 1 462 9.2 341 484 47 11 7 29 2 980 58.3 7.3 354 88

Mora County ------------------------- 35 915 – 211 260 30 19 7 4 2 655 59.7 14.2 542 179

Mora division ---------------------- 25 706 – 164 210 20 13 7 – 1 949 58.2 14.4 435 153

Wagon Mound division --------------- 10 209 – 47 50 10 6 – 4 706 63.6 13.7 107 26

Wagon Mound village -------------- – 80 – 7 23 5 1 – 4 211 59.2 11.4 35 5

12 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 13

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 3. Education and Veteran Status: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Persons 3 years and over enrolled in school

Elementary or high

school

Persons 16 to 19 years

Not enrolled in school and not high school

graduate

Persons 25 years and over Civilian veterans 16

years and over

Preprimary

school Total

Percent

in private

school College Total Total Employed

Unemployed

Not in

labor

force Total

Percent

high school

graduate

or higher

Percent

with bachelor’s

degree or

higher Total

65 years

and over

Otero County------------------------- 1 037 10 273 4.5 3 367 2 901 251 29 45 172 30 239 81.6 15.0 8 263 1 416

Alamogordo division ----------------- 850 7 312 4.8 2 828 2 144 197 29 32 136 23 083 83.6 15.9 6 468 1 002

Alamogordo city ------------------ 510 5 144 5.1 1 927 1 514 157 26 28 103 17 005 82.0 16.7 5 051 828

Boles Acres CDP ------------------ 7 219 4.6 35 63 –––– 954 86.0 10.1 354 70

Holloman AFB CDP----------------- 220 1 022 2.9 578 275 15 – – 15 2 406 94.6 14.9 353 10

La Luz CDP (pt.) ------------------ 67 384 5.2 105 92 7 3 4 – 950 85.6 12.2 232 50

Mescalero division ------------------- 103 808 1.7 64 185 28 – 11 17 1 144 65.9 2.0 167 25

Mescalero CDP ------------------- 37 302 4.0 29 85 11 – 7 4 543 64.3 2.8 85 19

Southeast Otero division -------------- 24 1 071 6.5 253 333 26 – 2 19 3 034 78.7 19.2 810 207

Cloudcroft village------------------ 5 88 – 40 25 2 – 2 – 363 86.8 32.2 92 20

La Luz CDP (pt.) ------------------ – –– – – – – – – – – – – –

Tularosa division -------------------- 60 1 082 2.8 222 239 –––– 2 978 75.0 8.8 818 182

Tularosa village ------------------- 38 582 .5 101 144 –––– 1 604 68.2 6.9 431 107

Quay County ------------------------- 187 2 015 – 295 571 73 42 10 21 7 097 70.3 9.9 1 375 425

House-Forrest division ---------------- 11 98 – 2 30 –––– 294 77.9 19.4 24 12

House village --------------------- 2 22 – – 7 –––– 66 69.7 21.2 22

Logan-Nara Visa division -------------- 26 205 – 8 68 4 2 – 2 777 70.4 7.2 187 68

Logan village --------------------- 10 150 – 8 49 2 2 – – 616 67.2 6.8 164 64

San Jon division -------------------- 3 129 – 19 30 3 – – 3 374 77.3 12.0 68 12

San Jon village ------------------- – 43 – 10 11 3 – – 3 161 74.5 11.2 22 6

Tucumcari division ------------------- 147 1 583 – 266 443 66 40 10 16 5 652 69.4 9.7 1 096 333

Tucumcari city -------------------- 136 1 315 – 238 386 51 32 10 9 4 396 67.9 9.0 843 237

Rio Arriba County --------------------- 527 7 316 8.3 1 808 2 252 333 95 54 184 20 014 65.9 10.3 3 184 779

Chimayo division -------------------- 54 785 12.2 96 269 51 14 9 28 2 097 54.1 8.3 253 67

Chimayo CDP (pt.)----------------- 42 448 16.3 50 184 23 – – 23 1 232 61.7 9.1 170 23

Coyote division --------------------- 32 236 – 64 124 51 – 18 33 891 49.2 6.1 127 24

Dixon division ---------------------- 19 257 12.1 86 117 –––– 885 62.4 8.9 98 32

Jicarilla division --------------------- 69 725 12.8 87 200 24 10 3 11 1 171 72.4 9.4 163 21

Dulce CDP (pt.) ------------------- 66 668 13.5 87 191 24 10 3 11 1 104 73.8 10.0 148 14

Rio Chama division ------------------ 56 583 2.9 163 168 15 9 – 6 1 535 67.4 10.9 186 53

San Juan Pueblo division -------------- 82 1 066 6.6 314 369 57 19 2 36 3 017 67.2 6.0 506 83

Alcalde CDP---------------------- 7 74 4.1 22 24 5 3 – 2 163 63.8 4.3 29 10

Espanola city (pt.)----------------- 8 177 8.5 55 57 9 3 – 6 493 66.3 7.1 84 12

San Juan CDP -------------------- 4 43 – 13 21 5 – – 5 264 75.0 6.8 55 15

Santa Clara division ------------------ 98 1 599 11.3 479 434 83 30 8 45 4 647 73.4 13.7 830 213

Espanola city (pt.)----------------- 57 859 7.5 228 236 60 21 1 38 2 436 64.5 12.3 367 118

Santa Clara Pueblo CDP ------------- 21 287 15.7 105 62 5 – 3 2 649 79.7 8.0 133 21

South Rio Arriba division -------------- 82 1 200 6.7 414 377 35 13 8 14 3 376 67.4 11.3 597 165

Espanola city (pt.)----------------- 14 184 15.2 76 87 8 – 8 – 775 84.9 16.5 196 76

Tierra Amarilla division---------------- 35 635 4.1 79 147 11 – – 11 1 875 61.8 9.7 303 91

Chama village -------------------- 22 220 2.7 46 47 –––– 695 64.2 11.7 106 26

Dulce CDP (pt.) ------------------- – –– – – – – – – – – – – – Vallecitas division ------------------- – 143 9.1 26 29 6 – 6 – 329 52.9 6.7 72 30

Western Rio Arriba division ------------ – 87 – – 18 –––– 191 73.3 35.6 49 –

Roosevelt County---------------------- 170 3 166 4.3 2 683 1 465 189 46 39 97 9 517 66.1 18.1 1 548 438

Dora division ----------------------- 16 135 2.2 20 20 –––– 409 62.3 13.0 55 24

Causey village -------------------- 6 2 – – ––––– 38 63.2 5.3 2 –

Dora village (pt.)------------------ 2 41 – 13 8 –––– 100 59.0 13.0 84

Elida division ----------------------- 12 266 – 57 75 6 2 – 4 755 70.3 14.0 130 50

Elida town ----------------------- – 28 – 6 9 –––– 115 75.7 8.7 25 13

Floyd village --------------------- 2 23 – 7 13 2 2 – – 76 73.7 13.2 19 9

Portales division--------------------- 142 2 765 4.8 2 606 1 370 183 44 39 93 8 353 66.0 18.7 1 363 364

Dora village (pt.)------------------ – –– – – – – – – – – – – –

Portales city --------------------- 106 1 868 2.9 2 138 1 107 142 25 35 75 5 748 61.7 21.1 793 233

Sandoval County ---------------------- 1 305 12 815 6.6 2 977 3 182 340 133 36 171 38 464 79.3 19.1 7 762 1 890

Bernalillo division -------------------- 886 8 860 5.3 2 393 2 132 179 87 29 63 30 218 84.5 21.7 6 492 1 584

Bernalillo town ------------------- 105 1 363 3.1 203 378 41 10 7 24 3 392 62.9 8.8 602 117

Corrales village (pt.) --------------- 57 939 6.3 274 237 15 12 – 3 3 285 89.1 38.5 636 122

Placitas CDP --------------------- 22 227 12.8 103 48 –––– 1 196 90.8 50.8 263 45

Rio Rancho city ------------------- 617 5 762 4.8 1 744 1 323 107 56 22 29 20 757 87.4 19.6 4 701 1 241

San Felipe Pueblo CDP (pt.) ---------- – –– – – – – – – – – – – –

Santa Ana Pueblo CDP (pt.)---------- 26 102 2.9 27 23 –––– 273 74.7 3.7 62 15

Cuba division ----------------------- 79 1 403 11.9 158 312 32 24 – 8 2 492 44.9 9.0 323 61

Cuba village---------------------- 14 199 25.6 18 38 –––– 444 57.0 13.1 98 26

Jemez division ---------------------- 140 953 15.2 182 228 14 3 5 6 2 360 75.3 12.7 421 93

Jemez Pueblo CDP ----------------- 53 355 34.6 57 92 –––– 722 67.0 3.0 107 31

Jemez Springs village -------------- 21 80 7.5 29 13 –––– 310 89.4 27.4 43 14

San Ysidro village ----------------- 5 38 – 2 3 –––– 112 51.8 4.5 14 2

Zia Pueblo CDP ------------------- 35 159 2.5 20 56 3 – – 3 317 64.0 4.4 59 10

Santo Domingo division --------------- 200 1 599 3.7 244 510 115 19 2 94 3 394 61.4 7.0 526 152

Cochiti CDP ---------------------- 4 155 19.4 21 66 11 4 – 7 337 73.0 5.3 91 22

Pena Blanca CDP ------------------ 6 101 – 22 14 –––– 215 36.7 6.0 20 3

San Felipe Pueblo CDP (pt.) ---------- 77 425 2.6 16 141 23 2 2 19 718 53.2 1.5 74 6

Santa Ana Pueblo CDP (pt.)---------- – –– – – – – – – – – – – –

Santo Domingo Pueblo CDP ---------- 67 589 2.0 106 208 59 10 – 49 1 247 59.9 .7 152 41

San Juan County ---------------------- 1 491 22 877 2.7 4 840 5 661 880 266 237 377 50 692 69.2 12.3 8 175 1 664

Aztec division ---------------------- 119 3 199 1.0 750 725 77 17 19 41 8 025 74.0 12.3 1 523 308

Aztec city ----------------------- 48 1 256 .6 330 295 19 7 – 12 3 213 72.3 13.8 608 167

Farmington city (pt.) --------------- – 12 – 22 ––––– 79 53.2 – ––

Flora Vista CDP ------------------- 12 265 – 48 82 –––– 643 86.5 14.6 124 –

Bloomfield division------------------- 150 2 815 2.2 474 699 56 28 – 28 5 989 69.6 9.6 1 034 180

Bloomfield city (pt.) --------------- 80 1 410 .5 278 350 14 7 – 7 2 848 71.6 11.6 458 82

Burnham division -------------------- 84 1 192 9.1 207 270 44 12 10 22 1 792 49.6 2.0 258 73

Ojo Amarillo CDP------------------ 26 318 11.0 62 78 12 – – 12 378 74.6 1.9 52 7

Farmington division ------------------ 864 9 776 2.4 2 445 2 366 346 138 83 125 24 493 78.8 17.1 4 485 918

Farmington city (pt.) --------------- 719 7 555 2.1 2 043 1 819 267 96 76 95 20 099 80.0 18.4 3 681 781

Kirtland CDP --------------------- 70 986 3.1 167 255 42 10 7 25 1 830 79.8 12.0 293 57

Naschitti division -------------------- 36 553 1.3 120 139 6 – – 6 1 141 48.4 3.9 84 49

Naschitti CDP--------------------- – 66 – 38 5 –––– 279 50.2 – 28 28

Shiprock-Sanostee division ------------- 145 4 125 3.0 768 1 201 279 58 78 143 7 159 47.1 4.9 603 114

Newcomb CDP -------------------- 15 74 – 19 6 –––– 219 48.4 10.5 31 5

Sanostee CDP -------------------- 15 245 15.1 43 53 –––– 342 33.3 2.0 8 –

Shiprock CDP--------------------- 31 2 072 .7 362 595 177 38 68 71 3 598 59.0 6.9 324 45

Simpson-Chaco division --------------- 93 1 217 4.2 76 261 72 13 47 12 2 093 40.1 2.3 188 22

Bloomfield city (pt.) --------------- – –– – – – – – – – – – – – Farmington city (pt.) --------------- – –– – – – – – – – – – – –

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 13
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 14

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 3. Education and Veteran Status: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Persons 3 years and over enrolled in school

Elementary or high

school

Persons 16 to 19 years

Not enrolled in school and not high school

graduate

Persons 25 years and over Civilian veterans 16

years and over

Preprimary

school Total

Percent

in private

school College Total Total Employed

Unemployed

Not in

labor

force Total

Percent

high school

graduate

or higher

Percent

with bachelor’s

degree or

higher Total

65 years

and over

San Miguel County -------------------- 588 5 236 4.5 2 560 1 846 146 43 31 72 15 434 68.4 16.2 2 626 652

Conchas Dam division ---------------- 7 39 – 2 4 –––– 226 32.3 11.9 53 26

Mosquero village (pt.)-------------- – –– – – – – – – – – – – –

Las Vegas division ------------------- 451 4 121 5.2 2 357 1 566 108 36 25 47 11 927 70.8 17.6 2 074 507

Las Vegas city-------------------- 319 2 945 2.2 1 911 1 060 81 25 25 31 8 806 71.0 18.2 1 554 409

Pecos division ---------------------- 83 593 4.0 148 164 18 7 6 5 2 081 68.8 14.3 326 53

Pecos village --------------------- 24 151 6.0 58 46 6 – 6 – 647 67.5 13.4 98 27

Trementina division ------------------ – 50 – – ––––– 220 9.5 – 59 35

Villanueva division ------------------- 47 433 – 53 112 20 – – 20 980 60.6 7.4 114 31

Santa Fe County ---------------------- 1 653 17 363 9.4 6 727 5 172 606 354 72 180 65 016 82.6 32.3 11 973 2 903

Santa Fe division -------------------- 1 069 9 687 10.1 4 658 3 313 353 229 12 112 41 939 83.6 35.5 7 585 2 097

Agua Fria CDP -------------------- 60 640 5.0 227 213 51 31 – 20 2 289 70.4 13.9 455 120

Santa Fe city (pt.)----------------- 966 8 602 10.5 4 206 2 972 302 198 12 92 37 796 83.9 36.2 6 784 1 904

Tesuque CDP (pt.) ----------------- – –– – – – – – – – – – – –

Santa Fe North division --------------- 224 3 138 8.4 734 858 116 49 43 24 9 260 75.3 20.6 1 685 370

Chimayo CDP (pt.)----------------- 10 117 – 19 17 –––– 418 58.4 8.6 55 15

Cuyamungue CDP------------------ 10 69 – 14 14 –––– 207 80.7 15.5 45 7

Espanola city (pt.)----------------- 44 459 18.1 123 136 18 4 13 1 1 278 69.6 13.1 200 52

Jaconita CDP --------------------- – 82 4.9 26 29 –––– 218 74.3 27.5 59 10

Nambe CDP ---------------------- 21 221 2.7 78 75 9 5 – 4 829 71.0 21.2 140 31

Pojoaque CDP -------------------- 28 236 5.5 27 55 5 2 – 3 596 81.9 15.3 119 20

San Ildefonso Pueblo CDP ----------- 9 118 5.1 18 26 3 – – 3 236 80.9 17.4 53 16

Santa Cruz CDP------------------- – 670 8.7 138 164 29 19 10 – 1 363 69.0 12.5 215 16

Santa Fe city (pt.)----------------- – –– – – – – – – 41 100.0 80.5 7 –

Tesuque CDP (pt.) ----------------- 18 213 13.1 56 65 25 2 19 4 1 130 83.8 32.7 175 70

Santa Fe South division --------------- 360 4 538 8.7 1 335 1 001 137 76 17 44 13 817 84.2 30.3 2 703 436

Edgewood CDP (pt.) --------------- 26 637 1.6 169 146 16 – 8 8 1 767 83.5 20.1 439 95

Eldorado at Santa Fe CDP ----------- 29 450 15.3 36 59 –––– 1 651 99.4 64.1 299 48

La Cienega CDP ------------------- 31 196 13.8 58 47 –––– 558 74.2 16.3 103 26

Santa Fe city (pt.)----------------- 10 56 39.3 21 47 6 – – 6 200 90.5 13.5 52 12

Sierra County ------------------------ 45 1 364 3.3 177 350 31 18 5 8 7 482 63.7 8.5 1 856 844

Truth or Consequences East division ------ 16 1 088 4.1 166 291 31 18 5 8 6 093 64.9 8.7 1 480 676

Truth or Consequences city ---------- 12 873 4.2 119 253 20 12 – 8 4 708 63.0 7.3 1 129 504

Williamsburg village ---------------- – 39 – 6 52 – 2 – 352 64.2 17.6 80 52

Truth or Consequences West division ----- 29 276 – 11 59 –––– 1 389 58.7 7.6 376 168

Socorro County ----------------------- 315 3 185 6.2 1 373 1 010 133 49 19 65 8 619 67.2 17.1 1 428 357

Claunch division --------------------- – 23 73.9 – 6 –––– 74 91.9 9.5 12 7

Magdalena division ------------------ 53 845 3.1 200 196 37 12 6 19 1 513 51.8 11.3 212 51

Magdalena village ----------------- 8 180 1.1 49 36 10 – – 10 559 63.0 16.5 88 22

Socorro city (pt.)------------------ – –– – – – – – – – – – – –

Rio Grande division ------------------ 262 2 317 6.6 1 173 808 96 37 13 46 7 032 70.2 18.4 1 204 299

Socorro city (pt.)------------------ 205 1 490 6.4 1 083 633 51 27 13 11 4 723 71.9 23.7 774 226

Taos County ------------------------- 328 4 751 7.3 875 1 352 162 57 54 49 14 630 71.8 18.5 2 625 645

Arroyo Hondo division ---------------- 25 542 8.3 105 154 22 – 7 15 1 851 79.7 29.7 325 74

Questa village (pt.) ---------------- – –– – – – – – – – – – – –

Penasco division--------------------- 49 209 – 73 57 13 – 13 – 755 57.5 10.1 189 77

Picuris division ---------------------- 51 433 1.2 87 139 17 – 5 10 1 130 58.2 8.8 173 36

Chamisal CDP -------------------- – 47 – 6 15 –––– 174 50.6 10.9 22 – Penasco CDP --------------------- 17 167 1.8 24 47 4 – – 2 361 65.9 10.0 47 10

Vadito CDP ---------------------- 10 69 – 27 28 2 – – 2 166 57.8 7.2 29 6

Questa division --------------------- 46 684 6.0 104 188 42 24 11 7 2 063 67.3 9.6 336 115

Questa village (pt.) ---------------- 38 387 3.9 62 114 23 10 11 2 1 005 63.1 5.3 155 34

Red River town ------------------- – 60 – 10 19 9 9 – – 285 89.5 26.3 51 20

Taos division ----------------------- 127 2 370 9.2 393 649 52 27 11 14 7 191 74.8 22.1 1 295 272

Ranchos De Taos CDP -------------- 34 383 7.3 56 92 7 7 – – 997 71.8 21.2 242 31

Taos town (pt.)------------------- 44 804 7.2 122 205 27 13 2 12 2 647 77.6 25.3 461 134

Taos Pueblo division------------------ 30 455 9.0 89 154 16 6 7 3 1 316 71.8 10.7 228 59

Taos town (pt.)------------------- – 7 – 4 3 –––– 28 60.7 – 2 – Taos Pueblo CDP ------------------ 18 232 14.7 50 67 8 3 2 3 707 70.3 6.2 131 34

Tres Piedras division ----------------- – 58 – 24 11 –––– 324 68.5 15.1 79 12

Torrance County ---------------------- 148 2 390 1.5 255 566 61 24 9 28 6 334 72.6 10.9 1 350 300

Encino division ---------------------- – 73 – 13 40 14 14 – – 366 57.7 11.5 64 35

Encino village--------------------- – 29 – – 633 – – 99 46.5 4.0 23 7

Estancia division -------------------- 113 1 954 .9 207 438 44 10 6 28 4 911 75.7 11.3 1 102 222

Edgewood CDP (pt.) --------------- 8 126 1.6 20 33 –––– 280 86.4 10.0 70 12

Estancia town -------------------- 13 182 – 15 42 5 – – 5 476 63.4 11.3 74 28

Moriarty city --------------------- 24 298 – 33 75 12 – 6 6 858 70.9 11.8 196 56

Mountainair division------------------ 35 363 5.0 35 88 3 – 3 – 1 057 63.3 8.8 184 43

Mountainair town ----------------- 18 225 – 33 52 2 – 2 – 579 65.3 7.6 97 29

Willard village -------------------- 3 39 – 2 9 –––– 116 53.4 12.1 21 3

Union County------------------------- 28 722 6.1 80 228 42 – 7 35 2 720 63.6 12.0 524 184

Clayton North division ---------------- 3 177 3.4 15 59 6 – – 6 536 70.1 9.3 113 16

Clayton town (pt.)----------------- – –– – – – – – – – – – – – Des Moines village----------------- – 37 – – 4 –––– 96 60.4 12.5 74

Folsom village -------------------- 3 33 – 10 21 6 – – 6 82 75.6 19.5 28 – Grenville village ------------------- – –– – – – – – – 12 58.3 – 4 –

Clayton South division ---------------- 25 545 7.0 65 169 36 – 7 29 2 184 62.0 12.7 411 168

Clayton town (pt.)----------------- 25 401 – 52 126 23 – 7 16 1 637 61.3 11.7 308 146

Valencia County----------------------- 598 9 325 4.4 2 520 2 472 357 124 88 145 27 734 73.3 12.1 5 711 1 415

Belen division ---------------------- 106 2 993 4.7 659 769 94 50 18 26 9 328 71.6 10.9 1 926 651

Belen city ----------------------- 47 1 313 6.2 303 368 37 12 7 18 3 862 65.0 8.0 685 222

Los Chaves CDP (pt.)--------------- – 21 – – 13 –––– 20 55.0 – ––

Los Trujillos-Gabaldon CDP (pt.) ------- 16 455 7.7 86 109 19 – 11 8 1 135 65.6 8.6 226 75

Rio Communities CDP--------------- 14 540 .7 182 121 10 10 – – 2 386 82.4 19.4 660 314

Los Lunas division ------------------- 492 6 332 4.2 1 861 1 703 263 74 70 119 18 406 74.2 12.7 3 785 764

Bosque Farms village --------------- 25 777 11.1 262 200 11 6 – 5 2 484 83.8 15.9 572 112

Isleta Pueblo CDP (pt.) ------------- 26 74 – 22 23 6 – – 6 204 75.5 2.9 36 3

Los Chaves CDP (pt.)--------------- 43 785 5.0 313 138 –––– 2 415 77.5 13.5 472 123

Los Lunas village ------------------ 103 1 278 – 307 395 93 30 19 44 3 402 72.8 12.3 623 149

Los Trujillos-Gabaldon CDP (pt.) ------- – –– – – – – – – – – – – –

Meadow Lake CDP----------------- 8 321 – 73 80 28 11 17 – 942 74.3 6.7 209 46

Peralta CDP ---------------------- 67 672 10.0 147 207 29 21 – 8 1 993 74.1 15.0 458 109

Tome-Adelino CDP ----------------- 16 355 1.4 62 75 –––– 1 017 71.4 9.9 222 37

Valencia CDP --------------------- 83 792 5.7 287 244 15 – 9 6 2 286 77.5 16.4 442 105

14 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 15

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 4. Education and Veteran Status: 1990

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Persons 3 years and over enrolled in school

Elementary or high

school

Persons 16 to 19 years

Not enrolled in school and not high school

graduate

Persons 25 years and over Civilian veterans 16

years and over

Preprimary

school Total

Percent

in private

school College Total Total Employed

Unemployed

Not in

labor

force Total

Percent

high school

graduate

or higher

Percent

with bachelor’s

degree or

higher Total

65 years

and over

The State ------------------- 24 322 301 552 5.6 110 115 88 998 10 443 3 642 2 036 4 747 922 590 75.1 20.4 178 022 43 593

COUNTY Bernalillo County ---------------------- 8 324 82 555 8.5 42 507 25 200 2 727 1 162 492 1 069 306 632 82.1 26.7 63 044 14 766

Catron County ------------------------ 23 490 2.9 100 130 4 – 4 – 1 717 73.3 18.7 493 116

Chaves County------------------------ 709 12 171 3.7 3 040 3 965 477 201 75 201 34 723 67.3 14.3 6 446 2 040

Cibola County ------------------------ 414 5 905 6.8 962 1 598 230 25 68 137 13 583 66.7 8.8 2 516 441

Colfax County ------------------------ 111 2 803 3.7 474 905 92 22 11 59 8 329 71.1 14.7 1 755 541

Curry County ------------------------- 814 8 273 2.7 3 434 2 595 275 69 63 143 24 597 75.8 13.7 4 639 910 DeBaca County ----------------------- 35 373 .5 36 100 4 – 4 – 1 559 63.0 11.4 278 112

Dona Ana County --------------------- 1 369 28 115 3.2 17 004 9 864 1 150 322 265 563 75 367 70.4 21.9 14 261 3 176

Eddy County ------------------------- 689 10 790 2.6 2 010 2 767 268 102 51 115 30 216 67.3 10.9 5 059 1 563

Grant County------------------------- 265 6 227 2.5 1 809 1 805 140 25 37 78 16 811 70.5 16.4 3 451 1 055

Guadalupe County --------------------- 71 869 .7 107 249 20 11 – 9 2 564 57.8 6.1 403 135

Harding County ----------------------- 23 200 1.0 23 40 3 – – 3 645 65.9 15.7 161 60

Hidalgo County ----------------------- 59 1 342 1.0 148 357 26 5 7 14 3 462 71.6 11.7 588 147

Lea County -------------------------- 833 12 859 3.1 2 765 3 497 610 200 104 306 32 383 63.8 11.5 5 405 1 541

Lincoln County ------------------------ 143 2 177 1.1 338 589 91 35 24 32 8 321 77.1 16.1 1 685 523

Los Alamos County -------------------- 496 3 236 3.8 1 288 892 52 31 16 5 12 543 94.7 53.4 2 532 574

Luna County ------------------------- 137 3 920 .7 503 1 033 157 22 49 86 11 603 58.8 11.1 2 411 1 064

McKinley County ---------------------- 1 352 15 534 6.5 2 819 4 124 483 111 53 319 30 888 58.5 11.1 3 953 738

Mora County ------------------------- 35 915 – 211 260 30 19 7 4 2 655 59.7 14.2 542 179

Otero County------------------------- 1 037 10 273 4.5 3 367 2 901 251 29 45 172 30 239 81.6 15.0 8 263 1 416

Quay County ------------------------- 187 2 015 – 295 571 73 42 10 21 7 097 70.3 9.9 1 375 425

Rio Arriba County --------------------- 527 7 316 8.3 1 808 2 252 333 95 54 184 20 014 65.9 10.3 3 184 779

Roosevelt County---------------------- 170 3 166 4.3 2 683 1 465 189 46 39 97 9 517 66.1 18.1 1 548 438

Sandoval County ---------------------- 1 305 12 815 6.6 2 977 3 182 340 133 36 171 38 464 79.3 19.1 7 762 1 890

San Juan County ---------------------- 1 491 22 877 2.7 4 840 5 661 880 266 237 377 50 692 69.2 12.3 8 175 1 664

San Miguel County -------------------- 588 5 236 4.5 2 560 1 846 146 43 31 72 15 434 68.4 16.2 2 626 652

Santa Fe County ---------------------- 1 653 17 363 9.4 6 727 5 172 606 354 72 180 65 016 82.6 32.3 11 973 2 903

Sierra County ------------------------ 45 1 364 3.3 177 350 31 18 5 8 7 482 63.7 8.5 1 856 844

Socorro County ----------------------- 315 3 185 6.2 1 373 1 010 133 49 19 65 8 619 67.2 17.1 1 428 357

Taos County ------------------------- 328 4 751 7.3 875 1 352 162 57 54 49 14 630 71.8 18.5 2 625 645

Torrance County ---------------------- 148 2 390 1.5 255 566 61 24 9 28 6 334 72.6 10.9 1 350 300

Union County------------------------- 28 722 6.1 80 228 42 – 7 35 2 720 63.6 12.0 524 184

Valencia County----------------------- 598 9 325 4.4 2 520 2 472 357 124 88 145 27 734 73.3 12.1 5 711 1 415

PLACE AND COUNTY SUBDIVISION

Acomita Lake CDP, Cibola County--------- 5 67 19.4 10 15 3 – – 3 122 68.9 7.4 21 6

Agua Fria CDP, Santa Fe County --------- 60 640 5.0 227 213 51 31 – 20 2 289 70.4 13.9 455 120

Alamogordo city, Otero County ---------- 510 5 144 5.1 1 927 1 514 157 26 28 103 17 005 82.0 16.7 5 051 828

Albuquerque city, Bernalillo County-------- 6 680 63 073 8.7 36 912 20 348 2 174 937 418 815 248 612 83.9 28.4 51 816 12 435

Alcalde CDP, Rio Arriba County ---------- 7 74 4.1 22 24 5 3 – 2 163 63.8 4.3 29 10

Angel Fire village, Colfax County --------- 3 23 – – 7 4 – – 4 44 88.6 15.9 3 – Anthony CDP, Dona Ana County---------- 62 1 531 .8 291 461 75 16 17 42 2 295 35.0 1.0 212 59

Artesia city, Eddy County--------------- 113 2 400 – 323 569 41 11 23 7 6 494 64.7 12.1 1 056 324

Aztec city, San Juan County ------------ 48 1 256 .6 330 295 19 7 – 12 3 213 72.3 13.8 608 167

Bayard city, Grant County -------------- 14 654 – 76 152 9 – 9 – 1 467 57.2 5.3 224 44

Belen city, Valencia County ------------- 47 1 313 6.2 303 368 37 12 7 18 3 862 65.0 8.0 685 222

Bernalillo town, Sandoval County --------- 105 1 363 3.1 203 378 41 10 7 24 3 392 62.9 8.8 602 117

Black Rock CDP, McKinley County--------- 34 272 8.8 33 33 –––– 388 61.9 25.5 37 –

Bloomfield city, San Juan County --------- 80 1 410 .5 278 350 14 7 – 7 2 848 71.6 11.6 458 82

Boles Acres CDP, Otero County ---------- 7 219 4.6 35 63 –––– 954 86.0 10.1 354 70

Bosque Farms village, Valencia County ----- 25 777 11.1 262 200 11 6 – 5 2 484 83.8 15.9 572 112

Cannon AFB CDP, Curry County ---------- 181 463 5.6 420 233 –––– 1 358 97.7 14.1 158 –

Capitan village, Lincoln County ----------- 10 144 4.9 18 44 9 9 – – 597 74.9 15.4 134 39

Carlsbad city, Eddy County-------------- 396 5 161 4.3 1 290 1 394 131 60 20 51 15 977 68.9 11.5 2 850 992

Carlsbad North CDP, Eddy County--------- 48 239 4.6 33 81 –––– 833 86.6 29.4 167 55

Carrizozo town, Lincoln County ---------- 2 156 – 13 53 2 – 2 – 765 65.1 9.5 201 48

Causey village, Roosevelt County --------- 6 2 – – ––––– 38 63.2 5.3 2 – Central village, Grant County ------------ 27 432 .5 81 116 23 5 4 14 1 017 53.1 4.8 211 54

Chama village, Rio Arriba County --------- 22 220 2.7 46 47 –––– 695 64.2 11.7 106 26

Chamisal CDP, Taos County ------------- – 47 – 6 15 –––– 174 50.6 10.9 22 – Chaparral CDP, Dona Ana County--------- 37 758 1.2 126 240 119 8 27 84 1 521 64.5 3.7 396 49

Chimayo CDP------------------------- 52 565 12.9 69 201 23 – – 23 1 650 60.8 9.0 225 38

Rio Arriba County ------------------- 42 448 16.3 50 184 23 – – 23 1 232 61.7 9.1 170 23

Santa Fe County -------------------- 10 117 – 19 17 –––– 418 58.4 8.6 55 15

Cimarron village, Colfax County ---------- 17 147 – 18 27 4 – 3 1 494 65.4 11.1 76 23

Clayton town, Union County------------- 25 401 – 52 126 23 – 7 16 1 637 61.3 11.7 308 146

Cloudcroft village, Otero County---------- 5 88 – 40 25 2 – 2 – 363 86.8 32.2 92 20

Clovis city, Curry County --------------- 367 6 006 2.7 2 478 1 889 231 54 58 119 18 681 74.1 13.8 3 710 763

Cochiti CDP, Sandoval County------------ 4 155 19.4 21 66 11 4 – 7 337 73.0 5.3 91 22

Columbus village, Luna County ----------- 15 126 1.6 6 58 21 2 2 17 379 38.0 9.5 84 57

Corona village, Lincoln County ----------- – 51 – 4 10 –––– 139 58.3 7.9 40 12

Corrales village ----------------------- 65 1 005 8.5 310 256 15 12 – 3 3 696 90.0 39.6 733 167

Bernalillo County -------------------- 8 66 39.4 36 19 –––– 411 96.8 48.7 97 45

Sandoval County -------------------- 57 939 6.3 274 237 15 12 – 3 3 285 89.1 38.5 636 122

Crownpoint CDP, McKinley County -------- 106 451 14.0 164 169 –––– 964 64.7 14.7 89 16

Cuba village, Sandoval County ----------- 14 199 25.6 18 38 –––– 444 57.0 13.1 98 26

Cuyamungue CDP, Santa Fe County ------- 10 69 – 14 14 –––– 207 80.7 15.5 45 7

Deming city, Luna County--------------- 94 2 486 .2 279 688 103 20 38 45 6 742 55.4 11.3 1 258 543

Des Moines village, Union County--------- – 37 – – 4 –––– 96 60.4 12.5 74

Dexter town, Chaves County ------------ 12 240 – 36 69 3 – – 3 487 48.5 12.7 38 15

Dona Ana CDP, Dona Ana County -------- – 211 – 36 61 13 – 13 – 508 38.4 5.7 59 20

Dora village, Roosevelt County ----------- 2 41 – 13 8 –––– 100 59.0 13.0 84

Dulce CDP, Rio Arriba County------------ 66 668 13.5 87 191 24 10 3 11 1 104 73.8 10.0 148 14

Eagle Nest village, Colfax County --------- 4 30 13.3 13 ––––– 150 82.0 22.0 29 7

Edgewood CDP ----------------------- 34 763 1.6 189 179 16 – 8 8 2 047 83.9 18.7 509 107

Santa Fe County -------------------- 26 637 1.6 169 146 16 – 8 8 1 767 83.5 20.1 439 95

Torrance County -------------------- 8 126 1.6 20 33 –––– 280 86.4 10.0 70 12

Eldorado at Santa Fe CDP, Santa Fe County - 29 450 15.3 36 59 –––– 1 651 99.4 64.1 299 48

Elida town, Roosevelt County ------------ – 28 – 6 9 –––– 115 75.7 8.7 25 13

Encino village, Torrance County----------- – 29 – – 633 – – 99 46.5 4.0 23 7

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 15
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Table 4. Education and Veteran Status: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Persons 3 years and over enrolled in school

Elementary or high

school

Persons 16 to 19 years

Not enrolled in school and not high school

graduate

Persons 25 years and over Civilian veterans 16

years and over

Preprimary

school Total

Percent

in private

school College Total Total Employed

Unemployed

Not in

labor

force Total

Percent

high school

graduate

or higher

Percent

with bachelor’s

degree or

higher Total

65 years

and over

PLACE AND COUNTY SUBDIVISIONm Con.

Espanola city ------------------------- 123 1 679 11.3 482 516 95 28 22 45 4 982 69.2 12.6 847 258

Rio Arriba County ------------------- 79 1 220 8.8 359 380 77 24 9 44 3 704 69.0 12.5 647 206

Santa Fe County -------------------- 44 459 18.1 123 136 18 4 13 1 1 278 69.6 13.1 200 52

Estancia town, Torrance County ---------- 13 182 – 15 42 5 – – 5 476 63.4 11.3 74 28

Eunice city, Lea County ---------------- – 763 7.2 70 241 61 10 – 51 1 533 54.8 6.4 249 53

Farmington city, San Juan County -------- 719 7 567 2.1 2 065 1 819 267 96 76 95 20 178 79.9 18.4 3 681 781

Flora Vista CDP, San Juan County -------- 12 265 – 48 82 –––– 643 86.5 14.6 124 –

Floyd village, Roosevelt County ---------- 2 23 – 7 13 2 2 – – 76 73.7 13.2 19 9

Folsom village, Union County ------------ 3 33 – 10 21 6 – – 6 82 75.6 19.5 28 –

Fort Sumner village, DeBaca County ------- 13 193 1.0 10 52 3 – 3 – 903 57.6 8.7 167 72

Gallup city, McKinley County ------------ 293 4 223 7.4 1 106 1 104 169 70 27 72 11 012 75.1 16.2 1 929 339

Grady village, Curry County ------------- 2 25 – 24 14 –––– 63 90.5 42.9 15 3

Grants city, Cibola County -------------- 96 2 164 9.4 388 576 59 9 35 15 5 069 71.8 12.7 1 015 165

Grenville village, Union County ----------- – –– – – – – – – 12 58.3 – 4 –

Hagerman town, Chaves County---------- 2 243 – 11 66 13 6 1 6 566 48.9 6.0 48 15

Hatch village, Dona Ana County ---------- 7 294 – 13 72 6 2 – 4 620 45.5 6.0 95 27

Hobbs city, Lea County ---------------- 483 6 571 4.3 1 699 1 831 290 79 44 167 16 732 66.4 13.4 2 772 790

Holloman AFB CDP, Otero County--------- 220 1 022 2.9 578 275 15 – – 15 2 406 94.6 14.9 353 10

Hope village, Eddy County -------------- – 15 – 3 11 –––– 77 64.9 11.7 20 7

House village, Quay County ------------- 2 22 – – 7 –––– 66 69.7 21.2 22

Hurley town, Grant County-------------- 10 352 – 65 83 11 – 11 – 984 68.4 8.6 191 61

Isleta Pueblo CDP---------------------- 65 402 2.0 128 89 19 3 2 14 973 64.4 5.4 187 40

Bernalillo County -------------------- 39 328 2.4 106 66 13 3 2 8 769 61.5 6.1 151 37

Valencia County--------------------- 26 74 – 22 23 6 – – 6 204 75.5 2.9 36 3

Jaconita CDP, Santa Fe County----------- – 82 4.9 26 29 –––– 218 74.3 27.5 59 10

Jal city, Lea County ------------------- 24 514 .6 62 116 28 6 3 19 1 315 56.0 4.5 243 68

Jemez Pueblo CDP, Sandoval County ------ 53 355 34.6 57 92 –––– 722 67.0 3.0 107 31

Jemez Springs village, Sandoval County ---- 21 80 7.5 29 13 –––– 310 89.4 27.4 43 14

Kirtland CDP, San Juan County----------- 70 986 3.1 167 255 42 10 7 25 1 830 79.8 12.0 293 57

La Cienega CDP, Santa Fe County--------- 31 196 13.8 58 47 –––– 558 74.2 16.3 103 26

Laguna CDP, Cibola County ------------- 8 78 – 22 31 7 – 5 2 269 76.2 4.1 61 24

Lake Arthur town, Chaves County -------- 4 59 – 7 16 8 – – 8 169 50.9 4.1 11 –

La Luz CDP, Otero County -------------- 67 384 5.2 105 92 7 3 4 – 950 85.6 12.2 232 50

Las Cruces city, Dona Ana County -------- 649 11 289 4.9 9 002 3 787 357 118 66 173 36 878 79.1 29.2 7 830 1 972

Las Vegas city, San Miguel County ------- 319 2 945 2.2 1 911 1 060 81 25 25 31 8 806 71.0 18.2 1 554 409

Logan village, Quay County ------------- 10 150 – 8 49 2 2 – – 616 67.2 6.8 164 64

Lordsburg city, Hidalgo County----------- 27 656 – 83 187 21 – 7 14 1 679 58.0 7.9 295 91

Los Alamos CDP, Los Alamos County ------ 300 1 882 3.5 876 494 36 31 – 5 8 106 94.0 52.8 1 610 396

Los Chaves CDP, Valencia County--------- 43 806 4.8 313 151 –––– 2 435 77.3 13.3 472 123

Los Lunas village, Valencia County -------- 103 1 278 – 307 395 93 30 19 44 3 402 72.8 12.3 623 149

Los Ranchos de Albuquerque village, Bernalillo County ------------------------- 96 774 15.9 259 208 4 2 – 2 2 627 83.1 38.2 536 130

Los Trujillos-Gabaldon CDP, Valencia County - 16 455 7.7 86 109 19 – 11 8 1 135 65.6 8.6 226 75

Loving village, Eddy County ------------- 24 277 – 49 75 11 3 2 6 707 42.3 3.8 70 21

Lovington city, Lea County -------------- 137 2 330 2.3 426 550 89 28 17 44 5 162 53.5 9.6 799 294

Magdalena village, Socorro County-------- 8 180 1.1 49 36 10 – – 10 559 63.0 16.5 88 22

Maxwell village, Colfax County ---------- – 47 – 11 12 –––– 166 69.9 22.9 32 7

Meadow Lake CDP, Valencia County------- 8 321 – 73 80 28 11 17 – 942 74.3 6.7 209 46

Melrose village, Curry County------------ 6 100 – 44 51 6 4 – 2 461 57.5 8.2 61 14

Mescalero CDP, Otero County------------ 37 302 4.0 29 85 11 – 7 4 543 64.3 2.8 85 19

Mesilla town, Dona Ana County ---------- 22 362 – 197 137 9 4 3 2 1 297 72.2 31.8 212 52

Mesita CDP, Cibola County-------------- 21 184 – 22 78 12 – – 12 313 60.4 2.2 66 –

Mexican Springs CDP, McKinley County ---- 7 77 – 15 21 –––– 63 88.9 – 7 –

Milan village, Cibola County ------------- 20 470 3.2 89 123 32 4 2 26 1 023 59.8 3.2 185 33

Moriarty city, Torrance County----------- 24 298 – 33 75 12 – 6 6 858 70.9 11.8 196 56

Mosquero village ---------------------- 5 35 5.7 2 81 – – 1 109 60.6 11.0 23 12

Harding County --------------------- 5 35 5.7 2 81 – – 1 109 60.6 11.0 23 12

San Miguel County ------------------ – –– – – – – – – – – – – –

Mountainair town, Torrance County ------- 18 225 – 33 52 2 – 2 – 579 65.3 7.6 97 29

Nambe CDP, Santa Fe County ----------- 21 221 2.7 78 75 9 5 – 4 829 71.0 21.2 140 31

Naschitti CDP, San Juan County ---------- – 66 – 38 5 –––– 279 50.2 – 28 28

Navajo CDP, McKinley County ----------- 66 628 – 133 111 –––– 844 72.5 14.7 121 –

Newcomb CDP, San Juan County --------- 15 74 – 19 6 –––– 219 48.4 10.5 31 5

North Acomita Village CDP, Cibola County -- 15 73 20.5 13 19 2 – 2 – 181 57.5 3.3 27 4

North Valley CDP, Bernalillo County ------- 105 2 237 10.2 643 567 71 15 – 56 8 157 71.0 16.6 1 591 438

Ojo Amarillo CDP, San Juan County ------- 26 318 11.0 62 78 12 – – 12 378 74.6 1.9 52 7

Paguate CDP, Cibola County ------------- 20 104 – 6 12 –––– 303 77.9 4.0 53 15

Paradise Hills CDP, Bernalillo County------- 123 1 099 9.1 459 352 22 17 – 5 3 533 90.4 27.6 896 193

Paraje CDP, Cibola County -------------- 3 153 2.0 16 34 5 – – 5 329 75.4 14.3 55 19

Pecos village, San Miguel County --------- 24 151 6.0 58 46 6 – 6 – 647 67.5 13.4 98 27

Pena Blanca CDP, Sandoval County-------- 6 101 – 22 14 –––– 215 36.7 6.0 20 3

Penasco CDP, Taos County -------------- 17 167 1.8 24 47 4 – – 2 361 65.9 10.0 47 10

Peralta CDP, Valencia County ------------ 67 672 10.0 147 207 29 21 – 8 1 993 74.1 15.0 458 109

Placitas CDP, Sandoval County ----------- 22 227 12.8 103 48 –––– 1 196 90.8 50.8 263 45

Pojoaque CDP, Santa Fe County ---------- 28 236 5.5 27 55 5 2 – 3 596 81.9 15.3 119 20

Portales city, Roosevelt County----------- 106 1 868 2.9 2 138 1 107 142 25 35 75 5 748 61.7 21.1 793 233

Questa village, Taos County ------------- 38 387 3.9 62 114 23 10 11 2 1 005 63.1 5.3 155 34

Ranchos De Taos CDP, Taos County ------- 34 383 7.3 56 92 7 7 – – 997 71.8 21.2 242 31

Raton city, Colfax County -------------- 35 1 545 5.2 309 437 47 – 2 45 4 789 70.0 12.3 988 317

Red River town, Taos County ------------ – 60 – 10 19 9 9 – – 285 89.5 26.3 51 20

Reserve village, Catron County ----------- 3 57 – 5 17 4 – 4 – 215 65.1 12.6 45 13

Rio Communities CDP, Valencia County----- 14 540 .7 182 121 10 10 – – 2 386 82.4 19.4 660 314

Rio Rancho city, Sandoval County--------- 617 5 762 4.8 1 744 1 323 107 56 22 29 20 757 87.4 19.6 4 701 1 241

Roswell city, Chaves County------------- 597 9 181 4.6 2 486 3 199 386 156 67 163 26 995 69.3 15.1 5 222 1 767

Roy village, Harding County ------------- – 67 – 14 8 –––– 258 55.8 17.1 74 28

Ruidoso village, Lincoln County----------- 80 775 1.8 152 235 45 19 8 18 3 186 81.7 19.3 603 218

Ruidoso Downs village, Lincoln County ----- 9 175 – 38 51 11 2 9 – 585 59.8 4.4 113 42

Sandia CDP, Bernalillo County------------ 116 1 131 3.4 813 275 24 11 – 13 2 985 94.0 12.4 538 – Sandia Heights CDP, Bernalillo County ----- 48 573 10.1 271 229 6 – – 6 2 512 97.9 65.5 605 69

16 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 17

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Table 4. Education and Veteran Status: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Persons 3 years and over enrolled in school

Elementary or high

school

Persons 16 to 19 years

Not enrolled in school and not high school

graduate

Persons 25 years and over Civilian veterans 16

years and over

Preprimary

school Total

Percent

in private

school College Total Total Employed

Unemployed

Not in

labor

force Total

Percent

high school

graduate

or higher

Percent

with bachelor’s

degree or

higher Total

65 years

and over

PLACE AND COUNTY SUBDIVISIONm Con.

San Felipe Pueblo CDP, Sandoval County --- 77 425 2.6 16 141 23 2 2 19 718 53.2 1.5 74 6

San Ildefonso Pueblo CDP, Santa Fe County - 9 118 5.1 18 26 3 – – 3 236 80.9 17.4 53 16

San Jon village, Quay County------------ – 43 – 10 11 3 – – 3 161 74.5 11.2 22 6

San Juan CDP, Rio Arriba County --------- 4 43 – 13 21 5 – – 5 264 75.0 6.8 55 15

Sanostee CDP, San Juan County---------- 15 245 15.1 43 53 –––– 342 33.3 2.0 8 –

Santa Ana Pueblo CDP, Sandoval County --- 26 102 2.9 27 23 –––– 273 74.7 3.7 62 15

Santa Clara Pueblo CDP, Rio Arriba County-- 21 287 15.7 105 62 5 – 3 2 649 79.7 8.0 133 21

Santa Cruz CDP, Santa Fe County -------- – 670 8.7 138 164 29 19 10 – 1 363 69.0 12.5 215 16

Santa Fe city, Santa Fe County ---------- 976 8 658 10.6 4 227 3 019 308 198 12 98 38 037 84.0 36.1 6 843 1 916

Santa Rosa city, Guadalupe County ------- 30 493 – 58 143 12 9 – 3 1 329 59.5 7.4 224 71

Santo Domingo Pueblo CDP, Sandoval

County ---------------------------- 67 589 2.0 106 208 59 10 – 49 1 247 59.9 .7 152 41

San Ysidro village, Sandoval County------- 5 38 – 2 3 –––– 112 51.8 4.5 14 2

Seama CDP, Cibola County-------------- 19 79 5.1 19 17 –––– 255 66.7 2.0 36 5

Shiprock CDP, San Juan County ---------- 31 2 072 .7 362 595 177 38 68 71 3 598 59.0 6.9 324 45

Silver City town, Grant County----------- 85 2 324 4.4 984 813 45 – 13 32 6 264 72.5 19.7 1 222 388

Skyline-Ganipa CDP, Cibola County -------- 29 319 9.7 48 81 11 2 2 7 438 68.9 5.0 88 9

Socorro city, Socorro County ------------ 205 1 490 6.4 1 083 633 51 27 13 11 4 723 71.9 23.7 774 226

South Valley CDP, Bernalillo County ------- 532 7 951 7.2 1 626 1 961 298 116 63 119 21 083 60.1 8.9 3 597 878

Springer town, Colfax County------------ 23 258 .8 45 85 10 4 3 3 818 56.5 12.6 166 52

Sunland Park city, Dona Ana County ------ 27 2 469 1.3 295 743 142 45 20 77 3 806 21.8 .5 79 7

Taos town, Taos County --------------- 44 811 7.2 126 208 27 13 2 12 2 675 77.4 25.1 463 134

Taos Pueblo CDP, Taos County ----------- 18 232 14.7 50 67 8 3 2 3 707 70.3 6.2 131 34

Tatum town, Lea County --------------- 13 208 – 20 78 4 – – 4 462 63.4 12.1 78 14

Tesuque CDP, Santa Fe County----------- 18 213 13.1 56 65 25 2 19 4 1 130 83.8 32.7 175 70

Texico city, Curry County --------------- 22 262 1.1 37 66 6 4 2 – 526 57.0 7.4 50 13

Tijeras village, Bernalillo County ---------- – 94 11.7 13 24 –––– 176 78.4 6.8 50 5

Tohatchi CDP, McKinley County ---------- – 163 11.0 19 17 –––– 447 74.9 36.2 38 –

Tome-Adelino CDP, Valencia County ------- 16 355 1.4 62 75 –––– 1 017 71.4 9.9 222 37

Truth or Consequences city, Sierra County -- 12 873 4.2 119 253 20 12 – 8 4 708 63.0 7.3 1 129 504

Tucumcari city, Quay County ------------ 136 1 315 – 238 386 51 32 10 9 4 396 67.9 9.0 843 237

Tularosa village, Otero County ----------- 38 582 .5 101 144 –––– 1 604 68.2 6.9 431 107

University Park CDP, Dona Ana County----- 48 338 10.4 3 614 1 471 –––– 780 98.5 37.3 142 –

Vadito CDP, Taos County --------------- 10 69 – 27 28 2 – – 2 166 57.8 7.2 29 6

Valencia CDP, Valencia County ----------- 83 792 5.7 287 244 15 – 9 6 2 286 77.5 16.4 442 105

Vaughn town, Guadalupe County --------- 5 133 – 2 43 –––– 430 57.0 3.0 81 23

Virden village, Hidalgo County ----------- 9 49 – – ––––– 75 88.0 33.3 99

Wagon Mound village, Mora County ------ – 80 – 7 23 5 1 – 4 211 59.2 11.4 35 5

White Rock CDP, Los Alamos County ------ 188 1 261 3.4 374 375 16 – 16 – 4 135 96.5 56.7 853 170

White Sands CDP, Dona Ana County ------ 63 510 – 302 120 11 6 – 5 1 205 92.9 19.1 241 7

Willard village, Torrance County ---------- 3 39 – 2 9 –––– 116 53.4 12.1 21 3

Williamsburg village, Sierra County-------- – 39 – 6 52 – 2 – 352 64.2 17.6 80 52

Zia Pueblo CDP, Sandoval County--------- 35 159 2.5 20 56 3 – – 3 317 64.0 4.4 59 10

Zuni Pueblo CDP, McKinley County -------- 172 1 462 9.2 341 484 47 11 7 29 2 980 58.3 7.3 354 88

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 17
TIPSII [UPF] GPH535 CENSUS90 71583600 07/ 17/ 92 1:22 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 07/ 13/ 92 18:42:09 TAPE: NONE FRAME: 1

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Table 5. Em

plo

y

m

ent Status and Journe

y to

W

ork

Characteristics: 1990

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Persons 16 years and over

Labor force

Percent in labor force Civilian labor force Workers

Means of transportation to work

Worked in 

Worked 

Total Female Total Female Total

Percent unemployed Total

Percent using

car, truck, or

van Percent in

carpools

Percent using

public transportation Total 

The State ------------------- 1 113 046 572 863 62.8 53.9 684 160 8.0 633 135 89.8 15.2 1.0 756 144 538 

Bernalillo County ---------------------- 367 118 190 252 67.7 59.7 243 502 6.6 228 955 90.3 12.8 1.7 266 782 198 

Albuquerque division ----------------- 355 746 184 579 67.7 59.7 235 732 6.6 221 795 90.3 12.6 1.8 258 376 192 

Albuquerque city (pt.) -------------- 298 102 155 506 68.2 60.5 200 427 6.4 187 368 90.1 12.1 2.0 218 165 163 Corrales village (pt.) --------------- 446 213 63.5 45.1 283 – 283 86.9 8.5 2.1 306 Los Ranchos de Albuquerque village ---- 3 066 1 619 63.3 54.8 1 932 5.2 1 791 87.0 7.9 2.2 2 196 1 North Valley CDP------------------ 9 465 4 725 64.7 57.4 6 098 5.7 5 700 91.3 12.7 .2 6 276 4 Paradise Hills CDP ----------------- 4 184 2 155 66.5 58.6 2 767 3.4 2 634 90.4 12.0 1.6 3 091 2 Sandia CDP ---------------------- 4 413 1 877 81.8 64.8 1 431 6.7 3 488 85.2 16.9 .4 3 871 3 Sandia Heights CDP ---------------- 2 882 1 437 71.0 59.5 2 005 2.5 1 960 90.8 11.0 .7 2 278 1 South Valley CDP------------------ 25 248 13 023 60.1 51.0 15 136 10.3 13 368 93.1 18.6 .8 16 175 11 

Bernalillo East division ---------------- 9 140 4 475 70.4 60.5 6 399 4.9 6 012 92.0 18.0 .2 6 986 5 

Tijeras village--------------------- 223 92 76.7 78.3 171 11.7 151 87.4 11.3 – 189 

Bernalillo West division --------------- 737 386 54.7 52.1 391 24.0 305 80.3 9.2 .7 417 

Albuquerque city (pt.) -------------- – ––––––––––

Isleta Pueblo division ----------------- 1 495 812 65.6 59.1 980 12.9 843 89.9 21.9 .6 1 003 

Isleta Pueblo CDP (pt.) ------------- 921 496 63.2 56.9 582 12.7 500 89.0 22.0 .6 599 

Catron County ------------------------ 1 951 929 53.0 43.6 1 034 12.9 878 75.9 19.5 – 1 139 

Quemado division ------------------- 657 323 58.1 46.7 382 11.8 337 73.9 24.9 – 442 Reserve division --------------------- 1 294 606 50.4 41.9 652 13.5 541 77.1 16.1 – 697 

Reserve village-------------------- 246 120 59.3 56.7 146 10.3 124 85.5 16.1 – 141 

Chaves County------------------------ 42 132 21 663 58.3 48.8 24 444 6.3 22 727 91.7 14.0 .2 26 665 19 

Dexter division --------------------- 1 411 697 58.3 48.1 822 6.2 753 87.6 9.6 2.3 894 

Dexter town --------------------- 614 331 53.7 45.0 330 2.4 318 91.8 4.4 – 382 

Hagerman division ------------------- 1 548 695 55.4 43.5 858 5.5 791 89.1 19.7 – 1 007 

Hagerman town------------------- 678 332 56.6 40.4 384 3.6 364 92.3 28.3 – 465 Lake Arthur town ----------------- 208 106 51.9 37.7 108 5.6 102 89.2 13.7 – 127 

Northeast Chaves division ------------- 90 45 88.9 77.8 80 – 80 28.8 – – 80 Northwest Chaves division ------------- 1 690 816 67.4 56.1 1 139 2.9 1 082 88.7 2.8 – 1 164 

Roswell city (pt.)------------------ 12 6 100.0 100.0 12 – 12 100.0 – – 12 

Roswell division --------------------- 33 231 17 459 57.1 48.4 18 872 6.6 17 519 93.5 15.2 .1 20 674 14 

Roswell city (pt.)------------------ 31 574 16 617 56.7 48.0 17 786 6.6 16 531 93.5 15.3 .1 19 545 13 

Southeast Chaves division ------------- 947 452 70.0 46.2 663 6.2 622 88.6 8.8 – 682 Southwest Chaves division ------------- 3 215 1 499 62.5 51.7 2 010 5.8 1 880 82.5 10.9 – 2 164 1 

Roswell city (pt.)------------------ 1 194 545 61.8 60.7 738 6.5 690 73.5 8.3 – 861 

Cibola County ------------------------ 16 555 8 639 53.5 44.9 8 842 15.5 7 314 90.8 18.0 .3 9 531 5 

Fence Lake division ------------------ 78 42 38.5 31.0 30 – 25 88.0 36.0 – 41 Grants division---------------------- 12 409 6 406 54.0 45.7 6 689 13.1 5 696 91.4 15.1 .3 7 352 4 

Acomita Lake CDP ----------------- 172 86 59.9 48.8 103 19.4 80 92.5 15.0 2.5 106 Grants city ---------------------- 6 141 3 369 55.1 44.8 3 375 12.6 2 892 91.4 12.6 .4 3 537 2 

Milan village --------------------- 1 255 629 55.5 45.3 696 13.4 592 94.1 16.0 .2 775 

North Acomita Village CDP----------- 217 117 58.1 58.1 126 18.3 103 89.3 23.3 – 136 Skyline-Ganipa CDP ---------------- 577 316 53.7 47.2 310 26.1 229 93.4 22.3 – 350 

Laguna division --------------------- 2 895 1 571 54.1 44.9 1 566 19.4 1 229 91.2 30.3 – 1 621 1 

Laguna CDP---------------------- 339 198 55.8 51.0 189 14.3 162 98.8 15.4 – 178 

Mesita CDP ---------------------- 435 246 58.4 47.6 254 16.9 209 83.7 35.9 – 259 

Paguate CDP --------------------- 366 192 48.1 32.3 176 36.9 111 79.3 27.0 – 194 Paraje CDP ---------------------- 390 188 55.4 50.5 216 20.4 172 81.4 30.8 – 251 Seama CDP ---------------------- 284 151 45.8 40.4 130 17.7 103 100.0 40.8 – 115 

Zuni-Ramah Navajo division ------------ 1 173 620 47.5 38.1 557 33.4 364 79.7 20.1 1.1 517 

Colfax County ------------------------ 9 741 4 916 57.3 49.2 5 562 7.5 5 075 87.6 18.3 .1 6 406 4 

Cimarron division -------------------- 1 489 734 67.2 59.3 997 8.6 898 82.7 15.5 – 1 146 

Angel Fire village ------------------ 63 29 90.5 79.3 57 7.0 53 62.3 18.9 – 59 Cimarron village------------------- 545 292 64.6 57.2 348 8.0 322 88.8 21.7 – 390 Eagle Nest village ----------------- 150 74 84.7 91.9 127 15.0 100 74.0 16.0 – 123 

Raton division ---------------------- 6 285 3 281 57.6 48.2 3 604 7.3 3 290 91.4 20.5 – 3 986 2 

Maxwell village (pt.) --------------- – ––––––––––

Raton city ----------------------- 5 537 2 896 56.0 47.1 3 092 8.0 2 800 91.7 22.1 – 3 428 2 

Springer division -------------------- 1 967 901 49.2 44.7 961 7.4 887 78.6 12.9 .6 1 274 

Maxwell village (pt.) --------------- 195 105 52.8 35.2 103 9.7 90 78.9 30.0 – 120 

Springer town -------------------- 963 510 48.4 40.4 460 9.3 417 89.9 12.5 1.2 582 

18 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 71583600 07/ 17/ 92 1:22 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 07/ 13/ 92 18:42:09 TAPE: NONE FRAME: 2

TSF:CENSUS90*92. 07/ 13/ 92 18:42:34 UTF:CENSUS90*93. 07/ 13/ 92 18:42:34 META:CENSUS90S*PH5T7-835. 07/ 13/ 92 18:43:35

Table 5. Em

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Characteristics: 1990

mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Persons 16 years and over

Labor force

Percent in labor force Civilian labor force Workers

Means of transportation to work

Worked in 

Worked 

Total Female Total Female Total

Percent unemployed Total

Percent using

car, truck, or

van Percent in

carpools

Percent using

public transportation Total 

Curry County ------------------------- 30 498 15 812 64.7 52.3 16 599 8.0 17 998 91.8 12.1 .4 21 250 15 

Broadview division ------------------- 335 174 76.1 59.8 255 11.8 210 73.8 29.5 – 258 

Grady village --------------------- 80 49 80.0 71.4 64 23.4 49 77.6 34.7 – 54 

Clovis division ---------------------- 29 306 15 171 65.0 52.8 15 928 8.2 17 373 92.1 12.1 .3 20 467 15 

Cannon AFB CDP ------------------ 2 249 866 85.4 65.0 558 11.6 1 834 79.0 9.9 – 1 943 1 Clovis city ----------------------- 22 724 12 155 62.2 51.5 12 816 8.3 12 784 94.9 12.3 .4 15 330 11 Texico city----------------------- 667 350 57.9 46.3 386 10.9 314 89.5 20.1 .3 426 

Melrose division--------------------- 857 467 48.5 34.0 416 .2 415 88.0 6.3 2.9 525 

Melrose village ------------------- 547 310 44.2 33.9 242 .4 241 84.2 6.2 – 296 

DeBaca County ----------------------- 1 746 935 51.8 42.6 905 5.5 854 89.2 13.9 .9 1 071 

East De Baca division ---------------- 1 587 857 51.5 43.1 817 6.0 767 89.4 13.6 1.0 978 

Fort Sumner village ---------------- 1 010 553 46.6 41.8 471 9.6 425 88.5 14.1 – 528 

West De Baca division ---------------- 159 78 55.3 37.2 88 1.1 87 87.4 17.2 – 93 

Dona Ana County --------------------- 98 597 50 261 60.5 50.5 58 579 9.4 53 231 90.7 16.9 .6 65 832 45 

Anthony division -------------------- 11 210 5 735 57.4 42.2 6 396 12.6 5 498 89.0 13.5 .5 7 088 4 

Anthony CDP --------------------- 3 211 1 698 50.7 34.3 1 618 15.1 1 383 93.9 15.4 – 1 932 1 Chaparral CDP -------------------- 2 000 1 016 58.0 45.7 1 154 14.6 983 85.2 10.2 1.7 1 195 

Dona Ana-Hill division ---------------- 10 883 5 511 65.5 54.6 7 093 8.3 6 473 97.1 20.1 .3 7 439 5 

Dona Ana CDP-------------------- 622 314 55.1 44.3 343 13.7 289 100.0 10.4 – 358 Las Cruces city (pt.) --------------- 2 291 1 175 65.9 62.3 1 496 11.8 1 297 97.5 22.7 1.0 1 588 1 

Fairacres division -------------------- 3 095 1 256 50.9 56.2 1 576 6.3 1 446 94.4 13.6 – 2 091 1 

Mesilla town (pt.) ----------------- – ––––––––––

Hatch division ---------------------- 2 582 1 316 47.4 31.5 1 224 10.5 1 077 81.7 23.1 – 1 495 

Hatch village --------------------- 805 441 47.3 32.2 381 9.4 329 88.8 23.7 – 410 

Las Cruces division------------------- 58 249 30 061 61.9 53.8 35 903 9.0 32 327 90.0 16.9 .8 40 062 27 

Las Cruces city (pt.) --------------- 45 034 23 315 62.6 54.3 28 066 8.8 25 303 91.6 17.6 .9 30 464 21 

Mesilla town (pt.) ----------------- 1 559 825 62.5 55.0 969 6.6 894 93.2 14.5 – 1 037 

University Park CDP ---------------- 3 884 1 966 43.6 46.7 1 695 11.8 1 480 50.3 8.4 1.4 2 969 

South Dona Ana division -------------- 10 824 5 636 54.0 39.4 5 834 10.0 5 125 92.4 15.9 .3 6 208 4 

Sunland Park city------------------ 5 189 2 685 50.2 33.3 2 604 13.9 2 132 89.9 16.1 .6 2 699 1 

White Sands division ----------------- 1 754 746 78.9 56.8 553 12.3 1 285 80.3 17.3 .5 1 449 1 

White Sands CDP------------------ 1 754 746 78.9 56.8 553 12.3 1 285 80.3 17.3 .5 1 449 1 

Eddy County ------------------------- 35 361 18 321 57.1 44.5 20 172 7.6 18 321 88.7 18.3 4.2 21 699 15 

Artesia division --------------------- 10 337 5 311 57.3 42.9 5 906 6.5 5 500 92.4 13.6 .2 6 394 4 

Artesia city ---------------------- 7 631 4 002 56.5 43.0 4 299 7.1 3 989 92.6 13.9 .3 4 669 3 Hope village --------------------- 90 45 31.1 20.0 28 – 28 78.6 – – 39 

Carlsbad division -------------------- 23 469 12 274 57.0 45.5 13 365 8.0 12 025 87.1 20.5 6.1 14 318 9 

Carlsbad city --------------------- 18 557 9 878 54.6 43.7 10 121 8.5 9 028 87.2 20.0 6.9 10 945 7 Carlsbad North CDP ---------------- 965 459 69.9 61.0 675 4.9 636 95.4 17.3 .8 686 

Loco Hills division ------------------- 235 95 75.7 55.8 178 – 169 81.1 4.7 – 197 Loving division---------------------- 1 320 641 54.9 35.6 723 9.1 627 89.3 20.6 3.3 790 

Loving village--------------------- 856 429 53.5 37.1 456 10.7 399 91.7 27.1 2.8 490 

Grant County------------------------- 20 191 10 516 55.6 46.6 11 208 10.5 9 693 90.9 17.0 .1 12 110 8 

Bayard-Santa Rita division ------------- 2 510 1 297 54.4 42.7 1 365 13.3 1 142 94.4 16.5 – 1 467 

Bayard city ---------------------- 1 745 931 55.8 44.4 973 13.1 832 98.1 17.3 – 1 053 Hurley town (pt.) ----------------- – ––––––––––

Central division --------------------- 2 231 1 194 49.3 40.0 1 098 12.7 903 87.7 15.3 .2 1 120 

Central village -------------------- 1 246 683 49.6 37.0 616 14.0 502 94.6 15.9 .4 620 

Hurley division ---------------------- 1 433 724 46.6 34.1 668 8.7 596 86.1 13.1 – 757 

Hurley town (pt.) ----------------- 1 128 580 44.0 31.4 496 11.1 427 91.1 8.4 – 569 

Mimbres division -------------------- 875 426 48.6 45.3 425 6.6 357 89.4 24.6 3.1 455 

Pinos Altos division ------------------ 693 366 71.9 72.1 498 10.6 428 81.3 13.1 – 516 Silver City division ------------------- 11 139 5 866 57.7 48.8 6 414 10.6 5 563 91.7 18.1 – 7 004 4 

Silver City town------------------- 7 881 4 261 55.6 48.8 4 374 11.2 3 781 88.9 16.1 – 4 820 3 

Tyrone division --------------------- 1 310 643 56.5 47.6 740 4.9 704 94.0 13.2 – 791 

Guadalupe County --------------------- 3 029 1 519 52.4 45.6 1 588 6.4 1 464 85.8 13.1 .5 1 779 1 

Dilia division ----------------------- 405 164 40.5 42.7 164 12.8 137 85.4 35.0 5.1 215 Santa Rosa division ------------------ 2 054 1 050 55.8 45.5 1 147 5.6 1 076 86.2 10.5 – 1 255 

Santa Rosa city ------------------- 1 606 831 54.1 46.7 869 6.7 807 86.9 11.0 – 979 

Vaughn division --------------------- 570 305 48.6 47.2 277 5.8 251 84.5 12.4 – 309 

Vaughn town--------------------- 498 271 51.8 51.3 258 6.2 232 88.4 13.4 – 286 

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 19
TIPSII [UPF] GPH535 CENSUS90 71583600 07/ 17/ 92 1:22 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 07/ 13/ 92 18:42:09 TAPE: NONE FRAME: 3

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Table 5. Em

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Characteristics: 1990

mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Persons 16 years and over

Labor force

Percent in labor force Civilian labor force Workers

Means of transportation to work

Worked in 

Worked 

Total Female Total Female Total

Percent unemployed Total

Percent using

car, truck, or

van Percent in

carpools

Percent using

public transportation Total 

Harding County ----------------------- 734 354 58.4 49.7 429 6.8 400 84.5 18.5 – 486 

North Harding division ---------------- 606 300 55.1 46.3 334 6.6 312 84.9 18.9 – 386 

Mosquero village (pt.)-------------- 123 70 51.2 50.0 63 14.3 54 74.1 25.9 – 71 

Roy village ---------------------- 287 139 50.5 42.4 145 9.0 132 83.3 15.2 – 172 

South Harding division ---------------- 128 54 74.2 68.5 95 7.4 88 83.0 17.0 – 100 

Hidalgo County ----------------------- 4 177 2 049 62.3 48.1 2 603 7.0 2 376 85.3 28.9 – 2 801 1 

North Hidalgo division ---------------- 3 255 1 624 59.2 47.2 1 928 8.2 1 748 84.2 22.7 – 2 083 1 

Lordsburg city -------------------- 2 058 1 066 56.9 44.7 1 170 12.2 1 027 81.7 19.5 – 1 276 Virden village--------------------- 81 41 66.7 56.1 54 – 54 100.0 16.7 – 63 

South Hidalgo division ---------------- 922 425 73.2 51.8 675 3.6 628 88.2 46.0 – 718 

Lea County -------------------------- 39 125 20 094 58.9 45.4 23 013 7.2 21 017 92.9 16.1 .2 25 014 17 

Eunice division ---------------------- 2 115 1 080 55.6 39.2 1 176 6.4 1 081 89.5 9.5 – 1 326 

Eunice city----------------------- 1 904 993 56.9 41.5 1 083 6.9 988 90.0 10.4 – 1 233 

Hobbs division ---------------------- 25 912 13 410 61.0 48.0 15 799 7.3 14 436 93.8 14.1 .2 16 938 12 

Hobbs city----------------------- 20 349 10 682 59.0 45.5 11 981 7.6 10 911 93.4 13.8 .3 12 925 9 

Jal division ------------------------ 1 650 847 49.9 32.6 824 4.9 763 91.6 18.6 – 905 

Jal city ------------------------- 1 521 795 49.5 33.7 753 5.3 692 91.3 17.2 – 831 

Lovington division ------------------- 8 379 4 232 55.5 42.0 4 627 8.1 4 187 92.7 23.9 – 5 157 3 

Lovington city -------------------- 6 343 3 205 54.0 40.2 3 402 9.2 3 029 94.2 25.4 – 3 852 2 

Tatum division ---------------------- 1 069 525 54.9 39.6 587 5.1 550 77.6 17.6 – 688 

Tatum town---------------------- 571 289 56.9 43.3 325 7.7 293 94.2 19.5 – 352 

Lincoln County ------------------------ 9 416 4 818 59.1 51.4 5 554 6.7 5 077 86.8 16.3 .1 6 266 4 

Capitan division --------------------- 1 761 813 58.1 59.4 1 022 5.0 934 80.6 20.3 .3 1 238 

Capitan village-------------------- 669 355 62.0 58.6 415 4.1 376 92.6 24.5 – 471 Ruidoso village (pt.) --------------- – ––––––––––

Carrizozo division ------------------- 1 017 492 51.6 42.5 525 11.0 463 81.9 16.0 .6 574 

Carrizozo town ------------------- 862 420 48.4 38.6 417 12.7 360 83.1 17.5 .8 452 

Corona division --------------------- 389 184 63.2 38.0 246 4.1 236 83.5 17.8 – 295 

Corona village -------------------- 171 75 53.2 25.3 91 11.0 81 86.4 28.4 – 126 

Hondo division---------------------- 665 332 52.5 47.0 349 8.6 309 79.9 19.1 – 361 Ruidoso division--------------------- 5 584 2 997 61.3 52.1 3 412 6.5 3 135 90.4 14.7 – 3 798 2 

Ruidoso village (pt.) --------------- 3 582 1 949 60.9 51.9 2 170 6.0 2 016 92.5 16.3 – 2 408 1 Ruidoso Downs village -------------- 683 357 64.1 57.4 438 10.0 385 89.6 13.5 – 472 

Los Alamos County -------------------- 13 955 6 907 72.9 62.8 10 154 2.1 9 797 92.2 10.7 1.4 11 143 8 

Los Alamos division ------------------ 9 256 4 576 72.5 62.3 6 694 2.1 6 457 91.0 8.6 1.8 7 319 5 

Los Alamos CDP ------------------ 8 972 4 403 72.6 62.5 6 494 2.1 6 257 91.1 8.8 1.7 7 086 5 

White Rock division ------------------ 4 699 2 331 73.8 63.8 3 460 2.1 3 340 94.4 14.8 .7 3 824 3 

White Rock CDP------------------- 4 641 2 291 73.6 63.6 3 412 2.2 3 292 94.7 14.4 .7 3 766 3 

Luna County ------------------------- 13 439 7 085 46.8 36.4 6 290 13.8 5 338 87.7 14.9 .4 6 973 4 

Deming North division ---------------- 10 496 5 649 47.8 37.5 5 009 15.2 4 205 86.9 14.9 .3 5 565 3 

Deming city (pt.)------------------ 7 986 4 381 47.1 36.3 3 752 17.4 3 063 87.7 16.0 .2 4 142 2 

Deming South division ---------------- 2 943 1 436 43.5 32.2 1 281 8.6 1 133 90.5 14.9 .7 1 408 

Columbus village ------------------ 467 252 31.9 20.6 149 22.1 114 78.1 7.0 – 175 Deming city (pt.)------------------ – ––––––––––

McKinley County ---------------------- 39 372 20 486 58.1 52.1 22 871 13.6 19 226 81.0 20.7 .7 23 844 14 

Crownpoint division ------------------ 3 188 1 587 44.6 43.3 1 422 22.4 1 059 78.1 16.1 1.9 1 686 

Crownpoint CDP------------------- 1 272 618 59.9 63.8 762 16.0 626 77.8 5.8 – 861 

Gallup division ---------------------- 14 464 7 684 67.8 57.9 9 800 6.1 8 989 90.7 18.4 .2 10 190 7 

Gallup city (pt.)------------------- 13 127 6 985 69.3 59.8 9 089 5.8 8 355 91.0 19.0 .2 9 498 7 

Red Rock division-------------------- 11 508 5 956 48.1 41.7 5 540 19.2 4 300 85.0 28.1 1.0 5 567 3 

Gallup city (pt.)------------------- 52 35 32.7 – 17 – 17 100.0 58.8 – 26 

Reservation division ------------------ 5 333 2 698 53.9 49.6 2 875 24.1 2 112 84.9 24.5 2.3 2 933 1 

Mexican Springs CDP--------------- 99 42 35.4 33.3 35 – 35 100.0 60.0 – 28 

Navajo CDP ---------------------- 1 082 507 55.5 48.3 601 17.6 495 73.3 11.7 7.9 558 Tohatchi CDP --------------------- 503 277 84.1 84.1 423 12.5 352 80.1 25.6 – 441 

Zuni division ----------------------- 4 879 2 561 66.3 67.0 3 234 13.4 2 766 41.1 15.1 .5 3 468 1 

Black Rock CDP ------------------- 460 234 75.9 81.2 349 8.9 318 33.3 9.4 – 375 Zuni Pueblo CDP ------------------ 4 028 2 131 65.4 66.0 2 635 14.2 2 232 41.4 15.1 .7 2 812 1 

Mora County ------------------------- 3 150 1 580 43.1 31.5 1 355 16.7 1 132 88.7 19.0 – 1 626 

Mora division ---------------------- 2 354 1 163 40.4 27.0 950 17.6 783 94.6 21.7 – 1 177 

Wagon Mound division --------------- 796 417 51.3 43.9 405 14.6 349 75.4 12.9 – 449 

Wagon Mound village -------------- 243 147 51.4 43.5 125 20.0 100 82.0 18.0 – 117 

20 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 71583600 07/ 17/ 92 1:22 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 07/ 13/ 92 18:42:09 TAPE: NONE FRAME: 4

TSF:CENSUS90*92. 07/ 13/ 92 18:42:34 UTF:CENSUS90*93. 07/ 13/ 92 18:42:34 META:CENSUS90S*PH5T7-835. 07/ 13/ 92 18:43:35

Table 5. Em

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ork

Characteristics: 1990

mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Persons 16 years and over

Labor force

Percent in labor force Civilian labor force Workers

Means of transportation to work

Worked in 

Worked 

Total Female Total Female Total

Percent unemployed Total

Percent using

car, truck, or

van Percent in

carpools

Percent using

public transportation Total 

Otero County------------------------- 37 377 18 591 65.4 53.2 20 001 10.5 22 058 90.3 17.0 .5 25 940 19 

Alamogordo division ----------------- 28 610 14 323 66.4 53.8 14 861 9.3 17 407 92.1 16.6 .2 20 136 15 

Alamogordo city ------------------ 20 550 10 635 64.3 53.0 11 386 8.9 12 043 92.2 14.8 .1 14 131 10 Boles Acres CDP ------------------ 1 047 551 58.3 51.5 590 9.0 543 92.6 14.0 – 654 Holloman AFB CDP----------------- 3 742 1 563 81.5 59.6 862 11.4 2 904 90.3 20.3 .6 3 134 2 La Luz CDP (pt.) ------------------ 1 114 568 72.0 63.9 746 8.6 738 94.3 13.7 – 810 

Mescalero division ------------------- 1 544 764 63.7 54.1 984 36.0 625 79.4 20.3 12.2 1 048 

Mescalero CDP ------------------- 733 368 59.1 49.5 433 38.6 266 77.4 21.4 9.4 463 

Southeast Otero division -------------- 3 736 1 699 64.4 51.6 2 112 5.2 2 238 79.5 19.8 – 2 565 1 

Cloudcroft village------------------ 431 228 74.0 68.0 316 4.4 295 71.9 11.5 – 349 La Luz CDP (pt.) ------------------ – ––––––––––

Tularosa division -------------------- 3 487 1 805 59.1 49.2 2 044 12.2 1 788 90.2 16.2 – 2 191 1 

Tularosa village ------------------- 1 897 984 56.7 47.0 1 075 15.1 903 87.5 21.4 – 1 143 

Quay County ------------------------- 8 162 4 311 57.8 47.3 4 707 7.4 4 260 90.5 13.5 .1 5 185 3 

House-Forrest division ---------------- 330 176 45.2 28.4 149 5.4 141 96.5 5.0 1.4 212 

House village --------------------- 77 47 45.5 34.0 35 – 35 91.4 – – 43 

Logan-Nara Visa division -------------- 884 455 54.8 45.7 484 4.3 453 91.8 24.7 .4 503 

Logan village --------------------- 696 356 50.3 44.4 350 6.0 319 90.6 24.5 .6 360 

San Jon division -------------------- 442 223 59.7 42.2 264 3.4 250 88.4 2.8 – 306 

San Jon village ------------------- 197 109 60.4 47.7 119 5.0 111 79.3 – – 152 

Tucumcari division ------------------- 6 506 3 457 58.8 48.7 3 810 8.1 3 416 90.3 13.2 – 4 164 2 

Tucumcari city -------------------- 5 127 2 802 57.2 47.7 2 920 10.2 2 568 92.6 14.2 – 3 188 2 

Rio Arriba County --------------------- 24 450 12 431 58.9 50.7 14 398 11.8 12 447 89.1 26.5 .2 15 565 10 

Chimayo division -------------------- 2 558 1 286 59.5 50.5 1 523 9.5 1 351 91.0 37.4 – 1 518 1 

Chimayo CDP (pt.)----------------- 1 553 767 65.6 59.7 1 018 7.5 922 90.9 35.6 – 1 009 

Coyote division --------------------- 1 130 560 49.4 29.6 558 24.7 402 98.3 24.4 – 641 Dixon division ---------------------- 1 038 496 54.1 49.4 562 4.6 519 98.1 33.1 – 607 Jicarilla division --------------------- 1 588 838 69.3 64.6 1 098 17.3 903 85.4 24.8 – 1 224 

Dulce CDP (pt.) ------------------- 1 507 803 70.3 65.1 1 057 17.7 865 85.2 23.6 – 1 174 

Rio Chama division ------------------ 1 779 897 49.1 39.0 866 5.4 826 85.2 14.6 .7 1 047 San Juan Pueblo division -------------- 3 743 1 854 61.2 53.1 2 290 13.1 1 959 90.2 23.1 – 2 384 1 

Alcalde CDP---------------------- 209 111 54.1 49.5 113 10.6 99 86.9 15.2 – 138 Espanola city (pt.)----------------- 605 283 59.3 48.4 359 8.6 328 94.5 21.6 – 391 San Juan CDP -------------------- 317 175 51.7 46.9 164 6.7 153 93.5 12.4 – 169 

Santa Clara division ------------------ 5 590 2 969 59.4 50.5 3 322 8.6 2 999 91.8 29.5 .4 3 617 2 

Espanola city (pt.)----------------- 2 909 1 576 54.8 45.6 1 594 10.0 1 407 89.8 29.1 .5 1 716 1 Santa Clara Pueblo CDP ------------- 797 432 56.6 48.8 451 12.9 391 87.5 22.8 1.0 515 

South Rio Arriba division -------------- 4 236 2 134 62.9 54.8 2 666 9.8 2 324 86.6 27.8 .3 2 781 1 

Espanola city (pt.)----------------- 988 505 56.8 47.3 561 4.5 528 92.2 15.0 – 618 

Tierra Amarilla division---------------- 2 155 1 093 53.7 50.6 1 157 20.3 890 80.0 11.1 .7 1 409 

Chama village -------------------- 796 407 67.7 64.1 539 20.4 402 78.6 7.7 – 533 Dulce CDP (pt.) ------------------- – ––––––––––

Vallecitas division ------------------- 397 210 46.1 36.7 183 27.9 128 95.3 37.5 – 191 Western Rio Arriba division ------------ 236 94 73.3 79.8 173 15.6 146 82.9 33.6 – 146 

Roosevelt County---------------------- 12 611 6 489 59.5 48.8 7 410 7.4 6 875 85.7 12.5 – 8 825 5 

Dora division ----------------------- 459 230 58.6 38.3 269 3.0 261 96.6 8.8 – 269 

Causey village -------------------- 41 21 56.1 38.1 23 – 23 91.3 8.7 – 27 Dora village (pt.)------------------ 113 59 59.3 39.0 67 4.5 64 100.0 3.1 – 67 

Elida division ----------------------- 898 433 65.4 44.8 587 2.9 555 81.8 13.0 – 648 

Elida town ----------------------- 142 81 60.6 46.9 86 – 74 75.7 9.5 – 82 Floyd village --------------------- 97 53 59.8 45.3 58 3.4 56 83.9 23.2 – 73 

Portales division--------------------- 11 254 5 826 59.0 49.5 6 554 7.9 6 059 85.6 12.7 – 7 908 4 

Dora village (pt.)------------------ – ––––––––––Portales city --------------------- 8 197 4 274 57.3 47.4 4 613 9.8 4 190 84.3 11.9 – 5 687 3 

Sandoval County ---------------------- 44 828 23 269 64.3 56.0 28 515 7.1 26 316 90.7 16.6 .8 30 816 22 

Bernalillo division -------------------- 34 415 17 865 68.5 60.3 23 332 5.9 21 890 92.8 15.2 .7 24 962 19 

Bernalillo town ------------------- 4 128 2 148 64.1 56.0 2 640 10.3 2 360 92.2 19.0 – 2 803 1 Corrales village (pt.) --------------- 3 702 1 912 73.9 68.5 2 716 3.1 2 577 87.3 15.0 .4 2 864 2 Placitas CDP --------------------- 1 257 629 72.6 61.5 908 10.9 811 90.9 15.5 – 963 Rio Rancho city ------------------- 23 435 12 224 68.0 59.5 15 735 5.4 14 898 94.1 14.4 .9 16 939 13 San Felipe Pueblo CDP (pt.) ---------- – ––––––––––Santa Ana Pueblo CDP (pt.)---------- 329 180 71.4 73.9 235 6.8 216 97.2 40.3 – 246 

Cuba division ----------------------- 3 124 1 621 41.5 27.9 1 296 12.6 1 086 81.0 14.0 4.7 1 579 

Cuba village---------------------- 524 273 58.0 43.2 304 11.5 247 73.3 7.7 – 307 

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 21
TIPSII [UPF] GPH535 CENSUS90 71583600 07/ 17/ 92 1:22 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 07/ 13/ 92 18:42:09 TAPE: NONE FRAME: 5

TSF:CENSUS90*92. 07/ 13/ 92 18:42:34 UTF:CENSUS90*93. 07/ 13/ 92 18:42:34 META:CENSUS90S*PH5T7-835. 07/ 13/ 92 18:43:35

Table 5. Em

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Characteristics: 1990

mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Persons 16 years and over

Labor force

Percent in labor force Civilian labor force Workers

Means of transportation to work

Worked in 

Worked 

Total Female Total Female Total

Percent unemployed Total

Percent using

car, truck, or

van Percent in

carpools

Percent using

public transportation Total 

Sandoval CountymCon. Jemez division ---------------------- 2 825 1 470 57.9 49.3 1 636 13.4 1 366 79.0 25.7 .4 1 903 1 

Jemez Pueblo CDP ----------------- 924 499 47.8 41.3 442 21.7 339 76.4 25.1 – 546 Jemez Springs village -------------- 331 189 62.8 54.0 208 – 193 65.8 10.9 – 217 San Ysidro village ----------------- 135 73 70.4 63.0 95 12.6 79 77.2 16.5 – 99 Zia Pueblo CDP ------------------- 424 224 63.2 60.7 268 19.4 209 76.6 35.4 1.0 313 

Santo Domingo division --------------- 4 464 2 313 51.4 46.9 2 251 11.3 1 974 81.2 26.4 .3 2 372 1 

Cochiti CDP ---------------------- 443 222 49.9 44.6 221 1.8 217 79.7 24.9 .9 235 Pena Blanca CDP ------------------ 252 133 49.2 37.6 124 4.0 119 89.1 27.7 – 147 San Felipe Pueblo CDP (pt.) ---------- 991 527 54.5 53.7 540 13.3 468 79.5 37.6 .6 572 Santa Ana Pueblo CDP (pt.)---------- – ––––––––––Santo Domingo Pueblo CDP ---------- 1 729 880 50.0 47.6 825 12.7 714 77.2 19.9 – 811 

San Juan County ---------------------- 61 656 32 116 59.3 48.4 36 488 11.5 31 870 92.4 15.5 .1 39 443 25 

Aztec division ---------------------- 9 460 4 805 60.6 50.5 5 729 6.8 5 231 92.3 13.8 .1 6 308 4 

Aztec city ----------------------- 3 869 1 978 58.5 47.4 2 264 8.8 2 037 91.5 17.8 – 2 571 1 Farmington city (pt.) --------------- 83 50 48.2 38.0 40 – 40 77.5 25.0 – 57 Flora Vista CDP ------------------- 794 387 66.5 57.6 528 2.5 515 94.6 8.7 – 562 

Bloomfield division------------------- 7 257 3 796 58.5 46.8 4 247 9.5 3 817 89.2 16.5 – 4 707 3 

Bloomfield city (pt.) --------------- 3 486 1 890 61.0 49.4 2 125 8.4 1 937 90.2 14.3 – 2 294 1 

Burnham division -------------------- 2 334 1 213 53.9 43.2 1 258 24.2 941 92.9 18.0 .7 1 287 

Ojo Amarillo CDP------------------ 507 282 71.6 58.9 363 27.0 265 97.4 20.0 – 335 

Farmington division ------------------ 28 917 14 900 66.7 54.9 19 274 7.5 17 555 93.6 15.0 .1 20 730 14 

Farmington city (pt.) --------------- 23 634 12 190 66.9 55.4 15 787 7.2 14 435 93.7 14.3 .1 16 967 12 Kirtland CDP --------------------- 2 214 1 189 63.9 52.0 1 414 6.6 1 291 93.6 17.7 – 1 595 1 

Naschitti division -------------------- 1 499 998 44.3 40.7 664 46.1 351 91.5 37.0 – 609 

Naschitti CDP--------------------- 394 245 61.7 74.3 243 56.8 105 81.9 51.4 – 146 

Shiprock-Sanostee division ------------- 9 515 5 045 42.3 34.3 3 976 25.5 2 991 91.7 18.0 .6 4 246 2 

Newcomb CDP -------------------- 240 122 30.4 23.0 73 8.2 67 64.2 37.3 – 99 Sanostee CDP -------------------- 441 236 37.2 28.4 164 17.7 135 83.0 22.2 5.9 203 Shiprock CDP--------------------- 4 860 2 627 48.1 41.7 2 303 25.2 1 738 94.3 14.6 – 2 450 1 

Simpson-Chaco division --------------- 2 674 1 359 50.1 35.7 1 340 26.0 984 86.7 12.2 – 1 556 

Bloomfield city (pt.) --------------- – ––––––––––Farmington city (pt.) --------------- – ––––––––––

San Miguel County -------------------- 18 794 9 544 55.6 50.9 10 417 12.1 9 055 89.1 19.5 .3 11 586 7 

Conchas Dam division ---------------- 232 105 20.7 19.0 48 – 48 81.3 – – 40 

Mosquero village (pt.)-------------- – ––––––––––

Las Vegas division ------------------- 14 719 7 566 55.2 51.1 8 096 12.9 6 998 87.9 16.2 .2 9 038 5 

Las Vegas city-------------------- 10 871 5 673 57.5 53.8 6 227 12.4 5 429 87.8 16.9 .3 6 773 4 

Pecos division ---------------------- 2 489 1 217 67.2 61.4 1 665 8.2 1 481 94.3 29.2 – 1 788 1 

Pecos village --------------------- 788 367 67.9 55.9 530 8.5 463 92.7 21.4 – 524 

Trementina division ------------------ 232 96 20.3 10.4 47 – 47 53.2 – 21.3 88 Villanueva division ------------------- 1 122 560 50.0 38.6 561 14.3 481 94.8 41.2 – 632 

Santa Fe County ---------------------- 75 774 39 080 68.8 63.4 51 997 4.9 48 833 87.7 16.3 .3 56 613 41 

Santa Fe division -------------------- 48 966 26 258 69.0 62.8 33 728 4.6 31 877 87.5 14.3 .3 36 638 27 

Agua Fria CDP -------------------- 2 667 1 316 72.0 70.4 1 920 7.5 1 760 90.6 24.7 .5 2 018 1 Santa Fe city (pt.)----------------- 44 157 23 849 68.8 62.4 30 344 4.4 28 702 87.4 14.0 .3 32 955 24 Tesuque CDP (pt.) ----------------- – ––––––––––

Santa Fe North division --------------- 10 924 5 495 66.1 58.7 7 223 7.4 6 550 89.0 23.3 .5 7 595 5 

Chimayo CDP (pt.)----------------- 478 223 59.4 41.7 284 12.0 242 91.3 32.6 5.0 306 Cuyamungue CDP------------------ 236 126 68.2 64.3 161 3.1 148 92.6 25.7 1.4 159 Espanola city (pt.)----------------- 1 557 838 66.0 59.7 1 026 10.4 902 89.6 25.5 1.1 1 025 Jaconita CDP --------------------- 281 154 73.7 69.5 207 6.8 193 95.9 25.4 – 198 Nambe CDP ---------------------- 956 473 65.5 60.7 626 6.9 581 94.7 22.5 – 648 Pojoaque CDP -------------------- 708 346 69.6 58.4 493 3.2 472 94.1 24.8 – 524 San Ildefonso Pueblo CDP ----------- 286 142 56.6 59.9 162 6.8 151 92.7 5.3 – 201 Santa Cruz CDP------------------- 1 695 850 63.5 56.6 1 076 13.5 907 82.0 24.8 – 1 161 Santa Fe city (pt.)----------------- 41 25 58.5 32.0 24 – 24 70.8 – – 24 Tesuque CDP (pt.) ----------------- 1 236 623 67.8 57.9 838 3.5 809 84.4 20.3 – 917 

Santa Fe South division --------------- 15 884 7 327 70.0 69.1 11 046 4.3 10 406 87.7 17.8 .1 12 380 9 

Edgewood CDP (pt.) --------------- 1 956 949 64.9 53.2 1 257 3.7 1 223 90.4 21.3 .3 1 329 1 Eldorado at Santa Fe CDP ----------- 1 719 859 76.3 72.8 1 311 1.6 1 263 83.7 16.2 – 1 379 1 La Cienega CDP ------------------- 647 326 79.9 71.5 507 4.3 486 94.9 29.2 – 547 Santa Fe city (pt.)----------------- 277 58 33.2 81.0 92 – 86 82.6 24.4 – 196 

22 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 71583600 07/ 17/ 92 1:22 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 07/ 13/ 92 18:42:09 TAPE: NONE FRAME: 6

TSF:CENSUS90*92. 07/ 13/ 92 18:42:34 UTF:CENSUS90*93. 07/ 13/ 92 18:42:34 META:CENSUS90S*PH5T7-835. 07/ 13/ 92 18:43:35

Table 5. Em

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Characteristics: 1990

mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Persons 16 years and over

Labor force

Percent in labor force Civilian labor force Workers

Means of transportation to work

Worked in 

Worked 

Total Female Total Female Total

Percent unemployed Total

Percent using

car, truck, or

van Percent in

carpools

Percent using

public transportation Total 

Sierra County ------------------------ 8 156 4 222 40.0 35.6 3 252 7.2 2 958 90.2 14.3 .1 3 707 2 

Truth or Consequences East division ------ 6 650 3 492 38.0 34.6 2 526 8.6 2 254 92.5 13.8 .2 2 844 1 

Truth or Consequences city ---------- 5 159 2 731 36.7 33.1 1 893 9.4 1 676 92.0 14.0 .2 2 149 1 Williamsburg village ---------------- 377 218 32.9 28.9 124 7.3 115 100.0 26.1 – 168 

Truth or Consequences West division ----- 1 506 730 48.7 40.8 726 2.3 704 83.0 16.1 – 863 

Socorro County ----------------------- 10 727 5 230 61.0 51.0 6 535 10.2 5 790 79.2 13.5 1.1 7 138 4 

Claunch division --------------------- 102 41 94.1 85.4 96 6.3 90 83.3 34.4 – 102 Magdalena division ------------------ 1 908 989 56.6 48.2 1 077 13.5 927 81.7 25.0 4.1 1 088 

Magdalena village ----------------- 645 339 53.5 44.0 343 7.3 318 83.0 23.6 9.7 375 

Socorro city (pt.)------------------ – ––––––––––

Rio Grande division ------------------ 8 717 4 200 61.6 51.3 5 362 9.6 4 773 78.7 10.9 .5 5 948 4 

Socorro city (pt.)------------------ 6 114 2 969 62.9 55.5 3 841 9.9 3 418 77.1 10.1 – 4 225 2 

Taos County ------------------------- 17 162 8 864 60.3 52.6 10 348 11.8 8 934 83.7 13.9 .4 11 255 6 

Arroyo Hondo division ---------------- 2 105 1 028 65.3 55.6 1 374 9.6 1 216 84.3 16.3 – 1 507 

Questa village (pt.) ---------------- – ––––––––––

Penasco division--------------------- 901 441 47.8 40.4 431 22.7 320 93.4 21.3 2.5 522 Picuris division ---------------------- 1 374 711 44.8 38.7 613 16.3 502 86.3 25.1 1.8 716 

Chamisal CDP -------------------- 200 120 36.0 29.2 72 18.1 51 100.0 23.5 – 84 Penasco CDP --------------------- 450 230 49.8 45.2 221 8.6 205 84.9 37.1 4.4 261 Vadito CDP ---------------------- 217 101 44.2 28.7 96 12.5 84 96.4 17.9 – 111 

Questa division --------------------- 2 427 1 252 58.9 50.8 1 429 15.3 1 194 79.4 17.9 .3 1 587 

Questa village (pt.) ---------------- 1 214 618 56.4 49.0 684 13.0 579 92.1 22.6 – 734 Red River town ------------------- 316 157 88.6 84.7 280 – 280 42.1 8.2 – 283 

Taos division ----------------------- 8 378 4 395 64.2 57.3 5 379 8.9 4 792 83.2 10.0 .2 5 694 3 

Ranchos De Taos CDP -------------- 1 198 567 66.5 60.5 797 17.6 636 86.9 11.0 – 835 Taos town (pt.)------------------- 3 043 1 654 62.2 55.1 1 889 9.2 1 693 77.1 9.7 .4 1 978 1 

Taos Pueblo division------------------ 1 617 828 60.1 54.1 972 18.3 776 85.1 16.4 .4 1 038 

Taos town (pt.)------------------- 38 16 57.9 50.0 22 – 22 63.6 – 13.6 19 Taos Pueblo CDP ------------------ 873 449 57.5 53.5 502 25.7 367 82.0 22.1 – 541 

Tres Piedras division ----------------- 360 209 41.7 17.2 150 10.7 134 91.0 20.9 – 191 

Torrance County ---------------------- 7 307 3 679 59.0 46.9 4 300 8.6 3 829 86.1 17.8 .2 4 725 3 

Encino division ---------------------- 456 215 55.3 29.3 252 .8 250 77.2 22.0 – 234 

Encino village--------------------- 107 50 56.1 46.0 60 3.3 58 100.0 36.2 – 60 

Estancia division -------------------- 5 632 2 826 61.2 50.2 3 434 8.0 3 082 86.9 17.3 .3 3 821 2 

Edgewood CDP (pt.) --------------- 321 148 72.3 59.5 229 4.8 214 86.4 5.6 – 233 Estancia town -------------------- 553 301 48.5 36.5 268 9.7 233 71.2 8.6 – 300 

Moriarty city --------------------- 994 511 62.3 55.2 619 7.9 546 89.9 17.0 .4 675 

Mountainair division------------------ 1 219 638 50.4 37.9 614 15.1 497 85.7 18.9 .2 670 

Mountainair town ----------------- 660 358 44.4 31.6 293 20.1 226 86.3 14.6 – 318 

Willard village -------------------- 141 77 63.8 53.2 90 15.6 65 92.3 10.8 – 88 

Union County------------------------- 3 099 1 576 56.8 41.8 1 754 4.7 1 664 85.8 12.6 – 2 014 1 

Clayton North division ---------------- 628 297 61.5 40.7 386 3.1 369 83.5 19.5 – 449 

Clayton town (pt.)----------------- – ––––––––––Des Moines village----------------- 102 50 64.7 42.0 66 – 66 84.8 30.3 – 75 Folsom village -------------------- 114 52 43.9 17.3 50 8.0 41 82.9 9.8 – 56 Grenville village ------------------- 12 8 58.3 37.5 7 – 7 100.0 – – 7

Clayton South division ---------------- 2 471 1 279 55.6 42.0 1 368 5.2 1 295 86.4 10.6 – 1 565 1 

Clayton town (pt.)----------------- 1 858 959 54.5 44.3 1 005 7.1 932 92.4 11.1 – 1 148 

Valencia County----------------------- 32 656 16 325 59.6 51.6 19 334 9.0 17 373 93.2 16.7 .6 20 915 15 

Belen division ---------------------- 10 887 5 699 55.7 45.7 6 030 10.1 5 357 92.4 16.6 .5 6 343 4 

Belen city ----------------------- 4 676 2 477 54.6 44.3 2 522 10.2 2 246 90.9 18.7 – 2 667 1 Los Chaves CDP (pt.)--------------- 33 20 33.3 55.0 11 100.0 –––– 11 Los Trujillos-Gabaldon CDP (pt.) ------- 1 284 651 52.6 41.6 668 5.1 622 92.8 13.5 3.5 767 Rio Communities CDP--------------- 2 630 1 408 49.5 42.1 1 301 9.6 1 159 93.4 14.2 .4 1 315 

Los Lunas division ------------------- 21 769 10 626 61.5 54.8 13 304 8.4 12 016 93.6 16.7 .6 14 572 10 

Bosque Farms village --------------- 2 830 1 431 66.7 54.4 1 855 5.2 1 784 93.9 15.6 1.0 1 993 1 Isleta Pueblo CDP (pt.) ------------- 250 118 65.2 64.4 163 5.5 152 96.7 22.4 2.0 177 Los Chaves CDP (pt.)--------------- 2 664 1 326 67.3 59.9 1 792 5.0 1 625 91.9 13.4 .8 1 863 1 Los Lunas village ------------------ 4 172 2 252 62.9 56.3 2 608 11.9 2 272 92.3 16.1 .3 2 845 1 Los Trujillos-Gabaldon CDP (pt.) ------- – ––––––––––Meadow Lake CDP----------------- 1 095 531 59.1 50.3 640 11.4 562 95.2 24.0 – 717 Peralta CDP ---------------------- 2 328 1 155 63.9 51.9 1 475 6.2 1 385 95.2 16.7 1.2 1 628 1 Tome-Adelino CDP ----------------- 1 139 600 60.5 49.3 683 7.0 629 89.2 17.6 1.0 753 Valencia CDP --------------------- 2 805 1 401 66.1 56.2 1 851 7.8 1 671 94.1 12.4 – 1 896 1 

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 23
TIPSII [UPF] GPH535 CENSUS90 71583600 07/ 17/ 92 1:22 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 07/ 13/ 92 18:42:09 TAPE: NONE FRAME: 7

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Table 6. Em

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Characteristics: 1990

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]StateCountyPlace and [In Selected

States] CountySubdivision

Persons 16 years and over

Labor force

Percent in labor force Civilian labor force Workers

Means of transportation to work

Worked in 

Worked 

Total Female Total Female Total

Percent unemployed Total

Percent using

car, truck, or

van Percent in

carpools

Percent using

public transportation Total 

The State ------------------- 1 113 046 572 863 62.8 53.9 684 160 8.0 633 135 89.8 15.2 1.0 756 144 538 

COUNTY Bernalillo County ---------------------- 367 118 190 252 67.7 59.7 243 502 6.6 228 955 90.3 12.8 1.7 266 782 198 Catron County ------------------------ 1 951 929 53.0 43.6 1 034 12.9 878 75.9 19.5 – 1 139 Chaves County------------------------ 42 132 21 663 58.3 48.8 24 444 6.3 22 727 91.7 14.0 .2 26 665 19 Cibola County ------------------------ 16 555 8 639 53.5 44.9 8 842 15.5 7 314 90.8 18.0 .3 9 531 5 Colfax County ------------------------ 9 741 4 916 57.3 49.2 5 562 7.5 5 075 87.6 18.3 .1 6 406 4 Curry County ------------------------- 30 498 15 812 64.7 52.3 16 599 8.0 17 998 91.8 12.1 .4 21 250 15 DeBaca County ----------------------- 1 746 935 51.8 42.6 905 5.5 854 89.2 13.9 .9 1 071 Dona Ana County --------------------- 98 597 50 261 60.5 50.5 58 579 9.4 53 231 90.7 16.9 .6 65 832 45 Eddy County ------------------------- 35 361 18 321 57.1 44.5 20 172 7.6 18 321 88.7 18.3 4.2 21 699 15 Grant County------------------------- 20 191 10 516 55.6 46.6 11 208 10.5 9 693 90.9 17.0 .1 12 110 8 Guadalupe County --------------------- 3 029 1 519 52.4 45.6 1 588 6.4 1 464 85.8 13.1 .5 1 779 1 Harding County ----------------------- 734 354 58.4 49.7 429 6.8 400 84.5 18.5 – 486 Hidalgo County ----------------------- 4 177 2 049 62.3 48.1 2 603 7.0 2 376 85.3 28.9 – 2 801 1 Lea County -------------------------- 39 125 20 094 58.9 45.4 23 013 7.2 21 017 92.9 16.1 .2 25 014 17 Lincoln County ------------------------ 9 416 4 818 59.1 51.4 5 554 6.7 5 077 86.8 16.3 .1 6 266 4 Los Alamos County -------------------- 13 955 6 907 72.9 62.8 10 154 2.1 9 797 92.2 10.7 1.4 11 143 8 Luna County ------------------------- 13 439 7 085 46.8 36.4 6 290 13.8 5 338 87.7 14.9 .4 6 973 4 

McKinley County ---------------------- 39 372 20 486 58.1 52.1 22 871 13.6 19 226 81.0 20.7 .7 23 844 14 Mora County ------------------------- 3 150 1 580 43.1 31.5 1 355 16.7 1 132 88.7 19.0 – 1 626 

Otero County------------------------- 37 377 18 591 65.4 53.2 20 001 10.5 22 058 90.3 17.0 .5 25 940 19 Quay County ------------------------- 8 162 4 311 57.8 47.3 4 707 7.4 4 260 90.5 13.5 .1 5 185 3 Rio Arriba County --------------------- 24 450 12 431 58.9 50.7 14 398 11.8 12 447 89.1 26.5 .2 15 565 10 Roosevelt County---------------------- 12 611 6 489 59.5 48.8 7 410 7.4 6 875 85.7 12.5 – 8 825 5 Sandoval County ---------------------- 44 828 23 269 64.3 56.0 28 515 7.1 26 316 90.7 16.6 .8 30 816 22 San Juan County ---------------------- 61 656 32 116 59.3 48.4 36 488 11.5 31 870 92.4 15.5 .1 39 443 25 San Miguel County -------------------- 18 794 9 544 55.6 50.9 10 417 12.1 9 055 89.1 19.5 .3 11 586 7 Santa Fe County ---------------------- 75 774 39 080 68.8 63.4 51 997 4.9 48 833 87.7 16.3 .3 56 613 41 Sierra County ------------------------ 8 156 4 222 40.0 35.6 3 252 7.2 2 958 90.2 14.3 .1 3 707 2 Socorro County ----------------------- 10 727 5 230 61.0 51.0 6 535 10.2 5 790 79.2 13.5 1.1 7 138 4 Taos County ------------------------- 17 162 8 864 60.3 52.6 10 348 11.8 8 934 83.7 13.9 .4 11 255 6 Torrance County ---------------------- 7 307 3 679 59.0 46.9 4 300 8.6 3 829 86.1 17.8 .2 4 725 3 Union County------------------------- 3 099 1 576 56.8 41.8 1 754 4.7 1 664 85.8 12.6 – 2 014 1 Valencia County----------------------- 32 656 16 325 59.6 51.6 19 334 9.0 17 373 93.2 16.7 .6 20 915 15 PLACE AND COUNTY SUBDIVISION Acomita Lake CDP, Cibola County--------- 172 86 59.9 48.8 103 19.4 80 92.5 15.0 2.5 106 Agua Fria CDP, Santa Fe County --------- 2 667 1 316 72.0 70.4 1 920 7.5 1 760 90.6 24.7 .5 2 018 1 Alamogordo city, Otero County ---------- 20 550 10 635 64.3 53.0 11 386 8.9 12 043 92.2 14.8 .1 14 131 10 Albuquerque city, Bernalillo County-------- 298 102 155 506 68.2 60.5 200 427 6.4 187 368 90.1 12.1 2.0 218 165 163 Alcalde CDP, Rio Arriba County ---------- 209 111 54.1 49.5 113 10.6 99 86.9 15.2 – 138 Angel Fire village, Colfax County --------- 63 29 90.5 79.3 57 7.0 53 62.3 18.9 – 59 Anthony CDP, Dona Ana County---------- 3 211 1 698 50.7 34.3 1 618 15.1 1 383 93.9 15.4 – 1 932 1 Artesia city, Eddy County--------------- 7 631 4 002 56.5 43.0 4 299 7.1 3 989 92.6 13.9 .3 4 669 3 Aztec city, San Juan County ------------ 3 869 1 978 58.5 47.4 2 264 8.8 2 037 91.5 17.8 – 2 571 1 Bayard city, Grant County -------------- 1 745 931 55.8 44.4 973 13.1 832 98.1 17.3 – 1 053 Belen city, Valencia County ------------- 4 676 2 477 54.6 44.3 2 522 10.2 2 246 90.9 18.7 – 2 667 1 Bernalillo town, Sandoval County --------- 4 128 2 148 64.1 56.0 2 640 10.3 2 360 92.2 19.0 – 2 803 1 Black Rock CDP, McKinley County--------- 460 234 75.9 81.2 349 8.9 318 33.3 9.4 – 375 Bloomfield city, San Juan County --------- 3 486 1 890 61.0 49.4 2 125 8.4 1 937 90.2 14.3 – 2 294 1 Boles Acres CDP, Otero County ---------- 1 047 551 58.3 51.5 590 9.0 543 92.6 14.0 – 654 Bosque Farms village, Valencia County ----- 2 830 1 431 66.7 54.4 1 855 5.2 1 784 93.9 15.6 1.0 1 993 1 Cannon AFB CDP, Curry County ---------- 2 249 866 85.4 65.0 558 11.6 1 834 79.0 9.9 – 1 943 1 Capitan village, Lincoln County ----------- 669 355 62.0 58.6 415 4.1 376 92.6 24.5 – 471 Carlsbad city, Eddy County-------------- 18 557 9 878 54.6 43.7 10 121 8.5 9 028 87.2 20.0 6.9 10 945 7 Carlsbad North CDP, Eddy County--------- 965 459 69.9 61.0 675 4.9 636 95.4 17.3 .8 686 Carrizozo town, Lincoln County ---------- 862 420 48.4 38.6 417 12.7 360 83.1 17.5 .8 452 Causey village, Roosevelt County --------- 41 21 56.1 38.1 23 – 23 91.3 8.7 – 27 Central village, Grant County ------------ 1 246 683 49.6 37.0 616 14.0 502 94.6 15.9 .4 620 Chama village, Rio Arriba County --------- 796 407 67.7 64.1 539 20.4 402 78.6 7.7 – 533 Chamisal CDP, Taos County ------------- 200 120 36.0 29.2 72 18.1 51 100.0 23.5 – 84 Chaparral CDP, Dona Ana County--------- 2 000 1 016 58.0 45.7 1 154 14.6 983 85.2 10.2 1.7 1 195 Chimayo CDP------------------------- 2 031 990 64.1 55.7 1 302 8.4 1 164 91.0 35.0 1.0 1 315 

Rio Arriba County ------------------- 1 553 767 65.6 59.7 1 018 7.5 922 90.9 35.6 – 1 009 Santa Fe County -------------------- 478 223 59.4 41.7 284 12.0 242 91.3 32.6 5.0 306 

Cimarron village, Colfax County ---------- 545 292 64.6 57.2 348 8.0 322 88.8 21.7 – 390 

24 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 71583600 07/ 17/ 92 1:22 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 07/ 13/ 92 18:42:09 TAPE: NONE FRAME: 8

TSF:CENSUS90*92. 07/ 13/ 92 18:42:34 UTF:CENSUS90*93. 07/ 13/ 92 18:42:34 META:CENSUS90S*PH5T7-835. 07/ 13/ 92 18:43:35

Table 6. Em

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Characteristics: 1990

mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]StateCountyPlace and [In Selected

States] CountySubdivision

Persons 16 years and over

Labor force

Percent in labor force Civilian labor force Workers

Means of transportation to work

Worked in 

Worked 

Total Female Total Female Total

Percent unemployed Total

Percent using

car, truck, or

van Percent in

carpools

Percent using

public transportation Total 

PLACE AND COUNTY SUBDIVISIONm

Con.

Clayton town, Union County------------- 1 858 959 54.5 44.3 1 005 7.1 932 92.4 11.1 – 1 148 Cloudcroft village, Otero County---------- 431 228 74.0 68.0 316 4.4 295 71.9 11.5 – 349 Clovis city, Curry County --------------- 22 724 12 155 62.2 51.5 12 816 8.3 12 784 94.9 12.3 .4 15 330 11 Cochiti CDP, Sandoval County------------ 443 222 49.9 44.6 221 1.8 217 79.7 24.9 .9 235 Columbus village, Luna County ----------- 467 252 31.9 20.6 149 22.1 114 78.1 7.0 – 175 Corona village, Lincoln County ----------- 171 75 53.2 25.3 91 11.0 81 86.4 28.4 – 126 Corrales village ----------------------- 4 148 2 125 72.8 66.1 2 999 2.8 2 860 87.3 14.4 .6 3 170 2 

Bernalillo County -------------------- 446 213 63.5 45.1 283 – 283 86.9 8.5 2.1 306 Sandoval County -------------------- 3 702 1 912 73.9 68.5 2 716 3.1 2 577 87.3 15.0 .4 2 864 2 

Crownpoint CDP, McKinley County -------- 1 272 618 59.9 63.8 762 16.0 626 77.8 5.8 – 861 Cuba village, Sandoval County ----------- 524 273 58.0 43.2 304 11.5 247 73.3 7.7 – 307 Cuyamungue CDP, Santa Fe County ------- 236 126 68.2 64.3 161 3.1 148 92.6 25.7 1.4 159 Deming city, Luna County--------------- 7 986 4 381 47.1 36.3 3 752 17.4 3 063 87.7 16.0 .2 4 142 2 Des Moines village, Union County--------- 102 50 64.7 42.0 66 – 66 84.8 30.3 – 75 Dexter town, Chaves County ------------ 614 331 53.7 45.0 330 2.4 318 91.8 4.4 – 382 Dona Ana CDP, Dona Ana County -------- 622 314 55.1 44.3 343 13.7 289 100.0 10.4 – 358 Dora village, Roosevelt County ----------- 113 59 59.3 39.0 67 4.5 64 100.0 3.1 – 67 Dulce CDP, Rio Arriba County------------ 1 507 803 70.3 65.1 1 057 17.7 865 85.2 23.6 – 1 174 Eagle Nest village, Colfax County --------- 150 74 84.7 91.9 127 15.0 100 74.0 16.0 – 123 Edgewood CDP ----------------------- 2 277 1 097 66.0 54.1 1 486 3.9 1 437 89.8 19.0 .3 1 562 1 

Santa Fe County -------------------- 1 956 949 64.9 53.2 1 257 3.7 1 223 90.4 21.3 .3 1 329 1 Torrance County -------------------- 321 148 72.3 59.5 229 4.8 214 86.4 5.6 – 233 

Eldorado at Santa Fe CDP, Santa Fe County - 1 719 859 76.3 72.8 1 311 1.6 1 263 83.7 16.2 – 1 379 1 Elida town, Roosevelt County ------------ 142 81 60.6 46.9 86 – 74 75.7 9.5 – 82 Encino village, Torrance County----------- 107 50 56.1 46.0 60 3.3 58 100.0 36.2 – 60 Espanola city ------------------------- 6 059 3 202 58.5 49.8 3 540 9.1 3 165 90.6 25.0 .5 3 750 2 

Rio Arriba County ------------------- 4 502 2 364 55.8 46.3 2 514 8.6 2 263 91.1 24.7 .3 2 725 1 Santa Fe County -------------------- 1 557 838 66.0 59.7 1 026 10.4 902 89.6 25.5 1.1 1 025 

Estancia town, Torrance County ---------- 553 301 48.5 36.5 268 9.7 233 71.2 8.6 – 300 Eunice city, Lea County ---------------- 1 904 993 56.9 41.5 1 083 6.9 988 90.0 10.4 – 1 233 Farmington city, San Juan County -------- 23 717 12 240 66.8 55.4 15 827 7.2 14 475 93.6 14.4 .1 17 024 12 Flora Vista CDP, San Juan County -------- 794 387 66.5 57.6 528 2.5 515 94.6 8.7 – 562 Floyd village, Roosevelt County ---------- 97 53 59.8 45.3 58 3.4 56 83.9 23.2 – 73 Folsom village, Union County ------------ 114 52 43.9 17.3 50 8.0 41 82.9 9.8 – 56 Fort Sumner village, DeBaca County ------- 1 010 553 46.6 41.8 471 9.6 425 88.5 14.1 – 528 Gallup city, McKinley County ------------ 13 179 7 020 69.1 59.5 9 106 5.8 8 372 91.0 19.0 .2 9 524 7 Grady village, Curry County ------------- 80 49 80.0 71.4 64 23.4 49 77.6 34.7 – 54 Grants city, Cibola County -------------- 6 141 3 369 55.1 44.8 3 375 12.6 2 892 91.4 12.6 .4 3 537 2 Grenville village, Union County ----------- 12 8 58.3 37.5 7 – 7 100.0 – – 7Hagerman town, Chaves County---------- 678 332 56.6 40.4 384 3.6 364 92.3 28.3 – 465 Hatch village, Dona Ana County ---------- 805 441 47.3 32.2 381 9.4 329 88.8 23.7 – 410 Hobbs city, Lea County ---------------- 20 349 10 682 59.0 45.5 11 981 7.6 10 911 93.4 13.8 .3 12 925 9 Holloman AFB CDP, Otero County--------- 3 742 1 563 81.5 59.6 862 11.4 2 904 90.3 20.3 .6 3 134 2 Hope village, Eddy County -------------- 90 45 31.1 20.0 28 – 28 78.6 – – 39 House village, Quay County ------------- 77 47 45.5 34.0 35 – 35 91.4 – – 43 Hurley town, Grant County-------------- 1 128 580 44.0 31.4 496 11.1 427 91.1 8.4 – 569 Isleta Pueblo CDP---------------------- 1 171 614 63.6 58.3 745 11.1 652 90.8 22.1 .9 776 

Bernalillo County -------------------- 921 496 63.2 56.9 582 12.7 500 89.0 22.0 .6 599 Valencia County--------------------- 250 118 65.2 64.4 163 5.5 152 96.7 22.4 2.0 177 

Jaconita CDP, Santa Fe County----------- 281 154 73.7 69.5 207 6.8 193 95.9 25.4 – 198 Jal city, Lea County ------------------- 1 521 795 49.5 33.7 753 5.3 692 91.3 17.2 – 831 Jemez Pueblo CDP, Sandoval County ------ 924 499 47.8 41.3 442 21.7 339 76.4 25.1 – 546 Jemez Springs village, Sandoval County ---- 331 189 62.8 54.0 208 – 193 65.8 10.9 – 217 Kirtland CDP, San Juan County----------- 2 214 1 189 63.9 52.0 1 414 6.6 1 291 93.6 17.7 – 1 595 1 La Cienega CDP, Santa Fe County--------- 647 326 79.9 71.5 507 4.3 486 94.9 29.2 – 547 Laguna CDP, Cibola County ------------- 339 198 55.8 51.0 189 14.3 162 98.8 15.4 – 178 Lake Arthur town, Chaves County -------- 208 106 51.9 37.7 108 5.6 102 89.2 13.7 – 127 La Luz CDP, Otero County -------------- 1 114 568 72.0 63.9 746 8.6 738 94.3 13.7 – 810 Las Cruces city, Dona Ana County -------- 47 325 24 490 62.7 54.7 29 562 8.9 26 600 91.8 17.8 .9 32 052 22 Las Vegas city, San Miguel County ------- 10 871 5 673 57.5 53.8 6 227 12.4 5 429 87.8 16.9 .3 6 773 4 

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 25
TIPSII [UPF] GPH535 CENSUS90 71583600 07/ 17/ 92 1:22 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 07/ 13/ 92 18:42:09 TAPE: NONE FRAME: 9

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Table 6. Em

plo

y

m

ent Status and Journe

y to

W

ork

Characteristics: 1990

mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]StateCountyPlace and [In Selected

States] CountySubdivision

Persons 16 years and over

Labor force

Percent in labor force Civilian labor force Workers

Means of transportation to work

Worked in 

Worked 

Total Female Total Female Total

Percent unemployed Total

Percent using

car, truck, or

van Percent in

carpools

Percent using

public transportation Total 

PLACE AND COUNTY SUBDIVISIONm

Con. Logan village, Quay County ------------- 696 356 50.3 44.4 350 6.0 319 90.6 24.5 .6 360 

Lordsburg city, Hidalgo County----------- 2 058 1 066 56.9 44.7 1 170 12.2 1 027 81.7 19.5 – 1 276 Los Alamos CDP, Los Alamos County ------ 8 972 4 403 72.6 62.5 6 494 2.1 6 257 91.1 8.8 1.7 7 086 5 Los Chaves CDP, Valencia County--------- 2 697 1 346 66.9 59.8 1 803 5.5 1 625 91.9 13.4 .8 1 874 1 Los Lunas village, Valencia County -------- 4 172 2 252 62.9 56.3 2 608 11.9 2 272 92.3 16.1 .3 2 845 1 Los Ranchos de Albuquerque village, Bernalillo County ------------------------- 3 066 1 619 63.3 54.8 1 932 5.2 1 791 87.0 7.9 2.2 2 196 1 Los Trujillos-Gabaldon CDP, Valencia County - 1 284 651 52.6 41.6 668 5.1 622 92.8 13.5 3.5 767 Loving village, Eddy County ------------- 856 429 53.5 37.1 456 10.7 399 91.7 27.1 2.8 490 Lovington city, Lea County -------------- 6 343 3 205 54.0 40.2 3 402 9.2 3 029 94.2 25.4 – 3 852 2 

Magdalena village, Socorro County-------- 645 339 53.5 44.0 343 7.3 318 83.0 23.6 9.7 375 Maxwell village, Colfax County ---------- 195 105 52.8 35.2 103 9.7 90 78.9 30.0 – 120 Meadow Lake CDP, Valencia County------- 1 095 531 59.1 50.3 640 11.4 562 95.2 24.0 – 717 Melrose village, Curry County------------ 547 310 44.2 33.9 242 .4 241 84.2 6.2 – 296 Mescalero CDP, Otero County------------ 733 368 59.1 49.5 433 38.6 266 77.4 21.4 9.4 463 Mesilla town, Dona Ana County ---------- 1 559 825 62.5 55.0 969 6.6 894 93.2 14.5 – 1 037 Mesita CDP, Cibola County-------------- 435 246 58.4 47.6 254 16.9 209 83.7 35.9 – 259 Mexican Springs CDP, McKinley County ---- 99 42 35.4 33.3 35 – 35 100.0 60.0 – 28 Milan village, Cibola County ------------- 1 255 629 55.5 45.3 696 13.4 592 94.1 16.0 .2 775 Moriarty city, Torrance County----------- 994 511 62.3 55.2 619 7.9 546 89.9 17.0 .4 675 Mosquero village ---------------------- 123 70 51.2 50.0 63 14.3 54 74.1 25.9 – 71 

Harding County --------------------- 123 70 51.2 50.0 63 14.3 54 74.1 25.9 – 71 San Miguel County ------------------ – ––––––––––

Mountainair town, Torrance County ------- 660 358 44.4 31.6 293 20.1 226 86.3 14.6 – 318 Nambe CDP, Santa Fe County ----------- 956 473 65.5 60.7 626 6.9 581 94.7 22.5 – 648 Naschitti CDP, San Juan County ---------- 394 245 61.7 74.3 243 56.8 105 81.9 51.4 – 146 Navajo CDP, McKinley County ----------- 1 082 507 55.5 48.3 601 17.6 495 73.3 11.7 7.9 558 Newcomb CDP, San Juan County --------- 240 122 30.4 23.0 73 8.2 67 64.2 37.3 – 99 North Acomita Village CDP, Cibola County -- 217 117 58.1 58.1 126 18.3 103 89.3 23.3 – 136 North Valley CDP, Bernalillo County ------- 9 465 4 725 64.7 57.4 6 098 5.7 5 700 91.3 12.7 .2 6 276 4 Ojo Amarillo CDP, San Juan County ------- 507 282 71.6 58.9 363 27.0 265 97.4 20.0 – 335 Paguate CDP, Cibola County ------------- 366 192 48.1 32.3 176 36.9 111 79.3 27.0 – 194 Paradise Hills CDP, Bernalillo County------- 4 184 2 155 66.5 58.6 2 767 3.4 2 634 90.4 12.0 1.6 3 091 2 Paraje CDP, Cibola County -------------- 390 188 55.4 50.5 216 20.4 172 81.4 30.8 – 251 Pecos village, San Miguel County --------- 788 367 67.9 55.9 530 8.5 463 92.7 21.4 – 524 Pena Blanca CDP, Sandoval County-------- 252 133 49.2 37.6 124 4.0 119 89.1 27.7 – 147 Penasco CDP, Taos County -------------- 450 230 49.8 45.2 221 8.6 205 84.9 37.1 4.4 261 Peralta CDP, Valencia County ------------ 2 328 1 155 63.9 51.9 1 475 6.2 1 385 95.2 16.7 1.2 1 628 1 Placitas CDP, Sandoval County ----------- 1 257 629 72.6 61.5 908 10.9 811 90.9 15.5 – 963 Pojoaque CDP, Santa Fe County ---------- 708 346 69.6 58.4 493 3.2 472 94.1 24.8 – 524 Portales city, Roosevelt County----------- 8 197 4 274 57.3 47.4 4 613 9.8 4 190 84.3 11.9 – 5 687 3 Questa village, Taos County ------------- 1 214 618 56.4 49.0 684 13.0 579 92.1 22.6 – 734 Ranchos De Taos CDP, Taos County ------- 1 198 567 66.5 60.5 797 17.6 636 86.9 11.0 – 835 Raton city, Colfax County -------------- 5 537 2 896 56.0 47.1 3 092 8.0 2 800 91.7 22.1 – 3 428 2 Red River town, Taos County ------------ 316 157 88.6 84.7 280 – 280 42.1 8.2 – 283 Reserve village, Catron County ----------- 246 120 59.3 56.7 146 10.3 124 85.5 16.1 – 141 Rio Communities CDP, Valencia County----- 2 630 1 408 49.5 42.1 1 301 9.6 1 159 93.4 14.2 .4 1 315 Rio Rancho city, Sandoval County--------- 23 435 12 224 68.0 59.5 15 735 5.4 14 898 94.1 14.4 .9 16 939 13 Roswell city, Chaves County------------- 32 780 17 168 56.9 48.5 18 536 6.5 17 233 92.7 15.0 .1 20 418 14 Roy village, Harding County ------------- 287 139 50.5 42.4 145 9.0 132 83.3 15.2 – 172 Ruidoso village, Lincoln County----------- 3 582 1 949 60.9 51.9 2 170 6.0 2 016 92.5 16.3 – 2 408 1 Ruidoso Downs village, Lincoln County ----- 683 357 64.1 57.4 438 10.0 385 89.6 13.5 – 472 Sandia CDP, Bernalillo County------------ 4 413 1 877 81.8 64.8 1 431 6.7 3 488 85.2 16.9 .4 3 871 3 Sandia Heights CDP, Bernalillo County ----- 2 882 1 437 71.0 59.5 2 005 2.5 1 960 90.8 11.0 .7 2 278 1 San Felipe Pueblo CDP, Sandoval County --- 991 527 54.5 53.7 540 13.3 468 79.5 37.6 .6 572 San Ildefonso Pueblo CDP, Santa Fe County - 286 142 56.6 59.9 162 6.8 151 92.7 5.3 – 201 San Jon village, Quay County------------ 197 109 60.4 47.7 119 5.0 111 79.3 – – 152 San Juan CDP, Rio Arriba County --------- 317 175 51.7 46.9 164 6.7 153 93.5 12.4 – 169 Sanostee CDP, San Juan County---------- 441 236 37.2 28.4 164 17.7 135 83.0 22.2 5.9 203 Santa Ana Pueblo CDP, Sandoval County --- 329 180 71.4 73.9 235 6.8 216 97.2 40.3 – 246 Santa Clara Pueblo CDP, Rio Arriba County-- 797 432 56.6 48.8 451 12.9 391 87.5 22.8 1.0 515 Santa Cruz CDP, Santa Fe County -------- 1 695 850 63.5 56.6 1 076 13.5 907 82.0 24.8 – 1 161 Santa Fe city, Santa Fe County ---------- 44 475 23 932 68.6 62.4 30 460 4.4 28 812 87.4 14.0 .3 33 175 24 Santa Rosa city, Guadalupe County ------- 1 606 831 54.1 46.7 869 6.7 807 86.9 11.0 – 979 

26 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 71583600 07/ 17/ 92 1:22 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 07/ 13/ 92 18:42:09 TAPE: NONE FRAME: 10

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Table 6. Em

plo

y

m

ent Status and Journe

y to

W

ork

Characteristics: 1990

mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]StateCountyPlace and [In Selected

States] CountySubdivision

Persons 16 years and over

Labor force

Percent in labor force Civilian labor force Workers

Means of transportation to work

Worked in 

Worked 

Total Female Total Female Total

Percent unemployed Total

Percent using

car, truck, or

van Percent in

carpools

Percent using

public transportation Total 

PLACE AND COUNTY SUBDIVISIONm

Con.

Santo Domingo Pueblo CDP, Sandoval

County ---------------------------- 1 729 880 50.0 47.6 825 12.7 714 77.2 19.9 – 811 

San Ysidro village, Sandoval County------- 135 73 70.4 63.0 95 12.6 79 77.2 16.5 – 99 Seama CDP, Cibola County-------------- 284 151 45.8 40.4 130 17.7 103 100.0 40.8 – 115 Shiprock CDP, San Juan County ---------- 4 860 2 627 48.1 41.7 2 303 25.2 1 738 94.3 14.6 – 2 450 1 Silver City town, Grant County----------- 7 881 4 261 55.6 48.8 4 374 11.2 3 781 88.9 16.1 – 4 820 3 Skyline-Ganipa CDP, Cibola County -------- 577 316 53.7 47.2 310 26.1 229 93.4 22.3 – 350 Socorro city, Socorro County ------------ 6 114 2 969 62.9 55.5 3 841 9.9 3 418 77.1 10.1 – 4 225 2 South Valley CDP, Bernalillo County ------- 25 248 13 023 60.1 51.0 15 136 10.3 13 368 93.1 18.6 .8 16 175 11 Springer town, Colfax County------------ 963 510 48.4 40.4 460 9.3 417 89.9 12.5 1.2 582 Sunland Park city, Dona Ana County ------ 5 189 2 685 50.2 33.3 2 604 13.9 2 132 89.9 16.1 .6 2 699 1 Taos town, Taos County --------------- 3 081 1 670 62.1 55.0 1 911 9.1 1 715 76.9 9.6 .5 1 997 1 Taos Pueblo CDP, Taos County ----------- 873 449 57.5 53.5 502 25.7 367 82.0 22.1 – 541 Tatum town, Lea County --------------- 571 289 56.9 43.3 325 7.7 293 94.2 19.5 – 352 Tesuque CDP, Santa Fe County----------- 1 236 623 67.8 57.9 838 3.5 809 84.4 20.3 – 917 Texico city, Curry County --------------- 667 350 57.9 46.3 386 10.9 314 89.5 20.1 .3 426 Tijeras village, Bernalillo County ---------- 223 92 76.7 78.3 171 11.7 151 87.4 11.3 – 189 Tohatchi CDP, McKinley County ---------- 503 277 84.1 84.1 423 12.5 352 80.1 25.6 – 441 Tome-Adelino CDP, Valencia County ------- 1 139 600 60.5 49.3 683 7.0 629 89.2 17.6 1.0 753 Truth or Consequences city, Sierra County -- 5 159 2 731 36.7 33.1 1 893 9.4 1 676 92.0 14.0 .2 2 149 1 Tucumcari city, Quay County ------------ 5 127 2 802 57.2 47.7 2 920 10.2 2 568 92.6 14.2 – 3 188 2 Tularosa village, Otero County ----------- 1 897 984 56.7 47.0 1 075 15.1 903 87.5 21.4 – 1 143 University Park CDP, Dona Ana County----- 3 884 1 966 43.6 46.7 1 695 11.8 1 480 50.3 8.4 1.4 2 969 Vadito CDP, Taos County --------------- 217 101 44.2 28.7 96 12.5 84 96.4 17.9 – 111 Valencia CDP, Valencia County ----------- 2 805 1 401 66.1 56.2 1 851 7.8 1 671 94.1 12.4 – 1 896 1 Vaughn town, Guadalupe County --------- 498 271 51.8 51.3 258 6.2 232 88.4 13.4 – 286 Virden village, Hidalgo County ----------- 81 41 66.7 56.1 54 – 54 100.0 16.7 – 63 Wagon Mound village, Mora County ------ 243 147 51.4 43.5 125 20.0 100 82.0 18.0 – 117 White Rock CDP, Los Alamos County ------ 4 641 2 291 73.6 63.6 3 412 2.2 3 292 94.7 14.4 .7 3 766 3 White Sands CDP, Dona Ana County ------ 1 754 746 78.9 56.8 553 12.3 1 285 80.3 17.3 .5 1 449 1 Willard village, Torrance County ---------- 141 77 63.8 53.2 90 15.6 65 92.3 10.8 – 88 Williamsburg village, Sierra County-------- 377 218 32.9 28.9 124 7.3 115 100.0 26.1 – 168 Zia Pueblo CDP, Sandoval County--------- 424 224 63.2 60.7 268 19.4 209 76.6 35.4 1.0 313 Zuni Pueblo CDP, McKinley County -------- 4 028 2 131 65.4 66.0 2 635 14.2 2 232 41.4 15.1 .7 2 812 1 

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 27
TIPSII [UPF] GPH535 CENSUS90 71583600 07/ 17/ 92 1:22 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 07/ 13/ 92 18:42:09 TAPE: NONE FRAME: 11

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Table 7. Disability Status: 1990

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Civilian noninstitutionalized persons 16 to 64 years

Percent with a work disabilityPercent with a mobility or self-care

limitation

Civilian noninstitutionalized persons 65 years and over

Percent with a mobility or self-care

limitation

Percent in labor force of civilian noninstitutionalized persons 16 to 64 years withm

Total Total

Prevented

from

working Total

Mobility limitationSelf-care

limitation Total Total

Mobility limitationSelf-care

limitation

A work disabilityNo work disabilityA mobility limitationNo mobility limitation

The State ------------------- 927 781 8.8 4.7 4.6 2.3 3.4 156 638 18.4 14.9 10.7 37.2 75.1 19.5 72.9

Bernalillo County ---------------------- 310 308 8.4 4.0 3.8 2.0 2.6 48 487 18.7 15.2 10.1 43.6 79.8 23.4 77.8

Albuquerque division ----------------- 300 006 8.4 4.0 3.8 2.1 2.6 47 468 18.7 15.1 10.1 43.7 79.8 23.7 77.9

Albuquerque city (pt.) -------------- 251 498 8.2 3.7 3.7 1.9 2.5 41 006 18.3 14.6 10.2 45.6 80.7 24.4 78.9

Corrales village (pt.) --------------- 366 3.6 1.6 ––– 80 13.8 13.8 – 53.8 70.5 – 69.9

Los Ranchos de Albuquerque village ---- 2 666 6.6 3.6 3.8 2.1 1.9 391 16.9 15.6 4.6 44.0 71.0 38.6 69.9

North Valley CDP------------------ 7 888 8.4 4.2 3.7 2.1 2.8 1 439 17.0 15.9 7.1 38.0 78.7 20.7 76.4

Paradise Hills CDP ----------------- 3 585 8.0 2.5 5.9 3.4 3.9 585 25.6 20.3 13.5 55.9 77.2 42.3 76.7

Sandia CDP ---------------------- 2 166 6.7 1.6 2.0 1.2 1.3 –––– 61.0 66.4 46.2 66.3 Sandia Heights CDP ---------------- 2 633 2.8 1.4 .9 .9 .3 207 18.4 18.4 10.6 41.3 75.9 25.0 75.4

South Valley CDP------------------ 21 924 11.9 7.6 6.2 3.4 4.3 3 116 24.5 20.7 11.4 29.0 73.5 16.4 70.0

Bernalillo East division ---------------- 8 316 8.9 3.9 2.0 1.6 1.1 785 20.3 19.7 10.7 42.5 79.5 9.2 77.3

Tijeras village--------------------- 218 5.5 .9 1.8 1.8 1.8 5 ––– 58.3 79.6 100.0 78.0

Bernalillo West division --------------- 696 9.9 7.5 .4 .1 .4 29 ––– 11.6 60.6 100.0 55.7

Albuquerque city (pt.) -------------- – ––––– ––––––– – Isleta Pueblo division ----------------- 1 290 9.4 5.3 2.9 2.3 1.0 205 19.5 17.1 10.7 38.0 77.2 30.0 74.5

Isleta Pueblo CDP (pt.) ------------- 767 12.0 6.9 3.4 2.7 1.4 154 13.0 13.0 5.2 34.8 77.6 19.0 74.0

Catron County ------------------------ 1 560 9.2 6.3 2.8 1.8 1.3 391 10.7 10.7 3.3 25.9 67.7 17.9 64.8

Quemado division ------------------- 576 14.8 11.5 4.7 3.1 1.6 81 30.9 30.9 11.1 22.4 71.7 – 66.5

Reserve division --------------------- 984 5.9 3.4 1.7 1.0 1.2 310 5.5 5.5 1.3 31.0 65.7 50.0 63.8

Reserve village-------------------- 191 3.1 3.1 3.7 – 3.7 55 18.2 18.2 – – 78.9 – 76.4

Chaves County------------------------ 33 529 10.2 5.7 4.9 2.8 3.5 8 034 16.5 13.6 9.4 31.5 74.0 16.7 71.2

Dexter division --------------------- 1 211 9.3 7.2 3.7 2.1 2.3 200 29.0 16.0 23.0 23.0 69.1 15.4 65.9

Dexter town --------------------- 509 10.0 9.2 2.4 2.4 1.0 105 18.1 18.1 6.7 7.8 69.7 – 65.0

Hagerman division ------------------- 1 197 14.3 7.9 8.6 7.5 6.8 232 16.8 15.9 12.1 34.5 71.5 28.9 69.3

Hagerman town------------------- 561 20.9 11.6 3.6 3.6 .4 117 12.0 12.0 4.3 35.0 71.2 – 66.0

Lake Arthur town ----------------- 171 11.1 9.4 29.2 25.7 28.7 37 40.5 35.1 40.5 15.8 65.8 40.9 66.9

Northeast Chaves division ------------- 68 ––––– 22 –––– 91.2 – 91.2

Northwest Chaves division ------------- 1 486 2.6 1.9 2.2 1.9 .8 204 9.8 9.8 2.5 28.2 75.3 57.1 74.4

Roswell city (pt.)------------------ 12 ––––– ––––– 100.0 – 100.0

Roswell division --------------------- 25 832 10.7 5.9 5.2 2.8 3.8 6 949 16.5 13.8 9.3 31.4 74.3 10.0 71.4

Roswell city (pt.)------------------ 24 479 10.7 6.0 5.1 2.8 3.6 6 645 16.3 13.5 9.3 30.3 74.1 10.4 71.1

Southeast Chaves division ------------- 843 5.0 .8 .9 .9 .9 104 ––– 83.3 75.0 100.0 75.2

Southwest Chaves division ------------- 2 892 9.6 5.8 3.7 2.4 2.5 323 17.6 15.2 11.1 26.9 72.9 45.6 69.0

Roswell city (pt.)------------------ 1 104 11.4 6.1 7.5 3.9 5.4 90 8.9 – 8.9 25.4 71.4 72.1 65.9

Cibola County ------------------------ 13 930 10.3 7.2 5.2 3.0 3.4 1 931 17.8 15.4 10.5 23.2 66.5 11.0 63.6

Fence Lake division ------------------ 53 20.8 20.8 ––– 25 36.0 36.0 36.0 – 52.4 – 41.5

Grants division---------------------- 10 364 10.8 7.6 5.8 3.1 3.9 1 373 17.0 14.3 9.8 23.1 68.0 11.0 64.8

Acomita Lake CDP ----------------- 146 13.7 4.1 3.4 3.4 – 26 19.2 19.2 7.7 55.0 70.6 60.0 68.8

Grants city ---------------------- 5 156 10.7 7.5 7.1 3.1 5.2 689 17.9 16.3 7.5 23.3 68.8 1.9 65.9

Milan village --------------------- 1 137 12.1 8.1 4.3 4.0 2.3 118 12.7 10.2 5.9 23.9 65.3 13.3 62.2

North Acomita Village CDP----------- 192 7.3 5.2 2.6 – 2.6 25 16.0 8.0 16.0 28.6 68.5 – 65.6

Skyline-Ganipa CDP ---------------- 540 6.1 3.9 3.5 3.0 1.3 37 32.4 24.3 21.6 27.3 58.8 – 58.6

Laguna division --------------------- 2 458 6.1 4.0 2.8 2.7 1.5 415 18.3 16.4 11.6 27.3 64.3 3.0 63.7

Laguna CDP---------------------- 285 4.9 4.9 4.9 4.9 4.9 54 7.4 7.4 7.4 – 65.7 – 65.7

Mesita CDP ---------------------- 413 6.5 3.6 2.7 2.7 – 22 ––– 33.3 62.7 18.2 61.9

Paguate CDP --------------------- 275 3.6 3.6 3.6 3.6 3.6 91 19.8 19.8 – – 66.4 – 66.4

Paraje CDP ---------------------- 325 13.5 7.1 4.0 4.0 – 65 21.5 21.5 21.5 31.8 71.9 – 69.2

Seama CDP ---------------------- 214 5.6 3.7 .5 .5 – 48 35.4 35.4 35.4 33.3 61.4 – 60.1

Zuni-Ramah Navajo division ------------ 1 055 15.1 10.0 4.6 2.5 3.4 118 21.2 21.2 9.3 21.4 57.9 30.8 53.0

Colfax County ------------------------ 7 391 9.3 4.9 5.2 2.2 3.5 1 983 19.8 14.6 12.4 41.9 74.9 8.1 73.2

Cimarron division -------------------- 1 261 11.3 3.6 3.4 1.0 2.7 209 21.1 21.1 3.8 65.7 77.8 – 77.2

Angel Fire village ------------------ 63 ––––– ––––– 90.5 – 90.5

Cimarron village------------------- 411 8.3 4.1 4.6 1.5 3.2 130 14.6 14.6 6.2 41.2 83.3 – 81.0

Eagle Nest village ----------------- 137 28.5 3.6 ––– 13 46.2 46.2 – 87.2 94.9 – 92.7

Raton division ---------------------- 4 803 8.5 5.1 6.4 2.7 4.2 1 386 21.9 14.6 15.7 36.9 75.0 9.4 73.5

Maxwell village (pt.) --------------- – ––––– ––––––– – Raton city ----------------------- 4 180 8.0 5.1 6.7 2.6 4.6 1 268 23.3 15.2 16.4 31.8 74.1 11.0 72.3

Springer division -------------------- 1 327 10.4 5.4 2.3 1.6 1.4 388 11.3 11.1 5.4 31.9 71.5 4.8 68.4

Maxwell village (pt.) --------------- 146 12.3 7.5 2.1 2.1 .7 49 16.3 14.3 12.2 27.8 71.9 33.3 67.1

Springer town -------------------- 713 12.3 7.3 3.1 2.5 1.5 210 17.1 17.1 7.1 18.2 65.4 – 61.2

Curry County ------------------------- 22 735 10.1 5.9 3.8 2.4 2.4 4 342 20.0 14.8 11.4 33.9 74.6 14.3 71.9

Broadview division ------------------- 255 3.9 1.2 .8 .8 .8 80 16.3 16.3 3.8 50.0 81.2 – 80.6

Grady village --------------------- 74 6.8 – 2.7 2.7 2.7 6 50.0 50.0 50.0 60.0 84.1 – 84.7

Clovis division ---------------------- 21 878 10.2 6.0 3.9 2.5 2.5 4 033 20.6 15.0 11.8 33.5 74.7 14.5 71.9

Cannon AFB CDP ------------------ 886 ––––– ––––– 63.0 – 63.0

Clovis city ----------------------- 17 531 10.9 6.4 4.5 2.7 2.8 3 599 20.6 14.6 12.6 33.0 75.4 13.2 72.4

Texico city----------------------- 575 20.7 15.0 1.6 1.6 .9 92 31.5 31.5 8.7 25.2 74.6 22.2 65.0

Melrose division--------------------- 602 9.8 4.7 1.3 1.3 .5 229 10.5 10.5 7.4 45.8 67.0 – 65.8

Melrose village ------------------- 352 12.5 5.1 .9 .9 .9 177 13.6 13.6 9.6 50.0 66.9 – 65.3

DeBaca County ----------------------- 1 231 12.8 8.1 4.0 3.2 1.5 470 11.5 10.6 4.0 21.7 74.9 12.8 69.9

East De Baca division ---------------- 1 109 12.6 7.8 4.1 3.2 1.6 433 12.5 11.5 4.4 22.9 74.9 14.3 70.1

Fort Sumner village ---------------- 658 14.3 10.2 4.6 4.1 1.1 307 12.4 12.4 3.9 10.6 76.1 18.5 68.8

West De Baca division ---------------- 122 13.9 10.7 3.3 3.3 – 37 ––– 11.8 74.3 – 67.8

Dona Ana County --------------------- 84 731 6.6 3.3 3.1 1.7 2.2 11 717 16.9 14.1 10.0 37.4 69.7 18.8 68.4

Anthony division -------------------- 10 209 6.9 3.6 3.4 1.9 2.1 966 14.4 11.6 6.6 31.0 63.9 20.6 62.4

Anthony CDP --------------------- 2 942 5.2 3.1 6.8 2.2 5.7 259 23.9 14.7 12.0 16.9 55.7 9.1 54.7

Chaparral CDP -------------------- 1 832 11.0 5.0 3.1 2.7 .4 162 10.5 10.5 10.5 31.2 66.9 36.7 63.7

Dona Ana-Hill division ---------------- 9 716 6.6 3.0 2.6 1.4 1.4 1 043 18.3 17.0 11.1 38.1 74.3 15.0 72.7

Dona Ana CDP-------------------- 551 3.8 3.8 1.5 – 1.5 71 16.9 16.9 16.9 – 64.7 – 62.3

Las Cruces city (pt.) --------------- 1 979 6.3 3.9 6.2 2.8 3.9 299 15.1 13.0 6.0 12.9 78.0 9.1 75.7

Fairacres division -------------------- 2 089 9.1 5.4 3.1 3.0 1.2 420 7.9 7.1 5.0 36.3 75.9 4.8 74.3

Mesilla town (pt.) ----------------- – ––––– ––––––– –

Hatch division ---------------------- 2 127 5.3 3.3 7.5 2.4 6.9 455 11.4 5.7 9.2 24.8 57.0 5.8 56.5

Hatch village --------------------- 641 5.3 4.2 11.7 3.0 11.7 164 17.1 9.8 13.4 20.6 59.0 – 58.7

Las Cruces division------------------- 50 095 6.5 3.0 3.0 1.5 2.3 7 588 17.6 15.0 10.0 41.3 72.0 21.4 70.7

Las Cruces city (pt.) --------------- 37 974 7.0 3.4 2.9 1.6 2.1 6 522 18.6 16.3 10.4 41.4 74.3 19.6 72.9

Mesilla town (pt.) ----------------- 1 283 4.0 2.5 10.8 1.1 10.1 271 13.7 6.3 12.9 33.3 75.1 42.9 73.8

University Park CDP ---------------- 3 884 1.2 .3 1.5 .6 1.5 –––– 12.5 44.0 26.1 43.7

South Dona Ana division -------------- 9 587 6.1 4.1 3.2 2.3 1.7 1 230 18.5 13.9 13.7 24.5 61.6 18.6 60.3

Sunland Park city------------------ 4 846 7.6 5.2 2.9 2.7 .9 343 24.2 24.2 13.1 27.0 55.5 20.3 54.2

White Sands division ----------------- 908 10.0 3.9 2.2 1.1 1.7 15 ––– 39.6 63.3 – 61.6

White Sands CDP------------------ 908 10.0 3.9 2.2 1.1 1.7 15 ––– 39.6 63.3 – 61.6

28 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 71583600 07/ 17/ 92 1:22 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 07/ 13/ 92 18:42:09 TAPE: NONE FRAME: 12

TSF:CENSUS90*92. 07/ 13/ 92 18:42:34 UTF:CENSUS90*93. 07/ 13/ 92 18:42:34 META:CENSUS90S*PH5T7-835. 07/ 13/ 92 18:43:35

Table 7. Disability Status: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Civilian noninstitutionalized persons 16 to 64 years

Percent with a work disabilityPercent with a mobility or self-care

limitation

Civilian noninstitutionalized persons 65 years and over

Percent with a mobility or self-care

limitation

Percent in labor force of civilian noninstitutionalized persons 16 to 64 years withm

Total Total

Prevented

from

working Total

Mobility limitationSelf-care

limitation Total Total

Mobility limitationSelf-care

limitation

A work disabilityNo work disabilityA mobility limitationNo mobility limitation

Eddy County ------------------------- 27 794 11.4 6.4 3.7 2.4 2.5 6 945 19.4 15.6 10.4 33.4 74.3 13.6 71.0

Artesia division --------------------- 8 264 11.8 7.0 4.1 2.1 3.0 1 991 17.1 14.6 8.4 31.2 73.8 2.9 70.2

Artesia city ---------------------- 5 980 11.9 7.0 4.6 2.7 3.3 1 569 18.0 15.5 8.6 32.7 73.9 3.1 70.8

Hope village --------------------- 53 15.1 5.7 ––– 37 8.1 8.1 – 37.5 55.6 – 52.8

Carlsbad division -------------------- 18 197 11.3 6.2 3.5 2.5 2.3 4 734 20.1 15.7 11.4 34.9 74.9 18.8 71.7

Carlsbad city --------------------- 13 917 11.9 6.3 3.5 2.5 2.2 4 117 20.9 16.4 11.7 35.3 74.3 19.9 70.9

Carlsbad North CDP ---------------- 768 3.9 .8 2.2 .7 1.6 197 20.3 12.7 13.7 80.0 85.2 100.0 84.9

Loco Hills division ------------------- 219 ––––– 16 –––– 81.3 – 81.3

Loving division---------------------- 1 114 10.8 6.8 3.8 3.2 2.3 204 25.5 24.5 5.9 25.0 67.7 – 65.2

Loving village--------------------- 702 10.4 6.7 4.0 3.1 3.0 152 25.0 23.7 5.3 28.8 68.4 – 66.3

Grant County------------------------- 16 210 9.8 5.4 5.4 2.3 4.2 3 649 15.6 13.1 8.9 34.4 70.7 16.2 68.3

Bayard-Santa Rita division ------------- 2 038 11.4 7.6 15.4 3.0 13.6 472 27.8 12.1 24.4 22.0 70.5 13.1 66.6

Bayard city ---------------------- 1 423 10.1 6.8 10.8 3.4 8.5 322 13.0 11.5 10.9 23.6 72.5 16.3 69.4

Hurley town (pt.) ----------------- – ––––– ––––––– – Central division --------------------- 1 648 9.3 5.8 4.2 3.3 3.0 363 17.9 15.2 10.2 31.8 68.3 10.9 66.8

Central village -------------------- 998 10.9 7.6 5.5 4.0 4.2 246 14.2 11.0 10.2 27.5 64.8 7.5 62.9

Hurley division ---------------------- 1 060 12.7 8.1 3.4 3.0 1.1 373 12.1 11.5 3.5 25.2 65.7 15.6 62.0

Hurley town (pt.) ----------------- 839 14.1 8.8 2.9 2.4 1.4 289 13.1 12.5 4.5 24.6 63.1 25.0 58.5

Mimbres division -------------------- 669 16.7 7.6 3.3 3.3 – 206 7.8 7.8 3.9 36.6 66.6 – 63.7

Pinos Altos division ------------------ 585 12.6 2.4 4.6 3.6 3.4 108 ––– 62.2 85.1 33.3 84.0

Silver City division ------------------- 9 038 8.7 4.5 4.4 2.0 3.6 1 989 14.7 14.4 6.7 39.3 71.8 19.6 70.0

Silver City town------------------- 6 257 9.1 4.9 2.6 1.7 1.8 1 512 15.1 15.1 5.7 37.0 71.0 26.4 68.6

Tyrone division --------------------- 1 172 7.9 5.4 .5 .5 – 138 14.5 14.5 14.5 16.1 64.6 – 61.1

Guadalupe County --------------------- 2 447 11.8 8.2 4.6 3.5 2.0 567 15.3 15.0 4.9 20.4 67.3 9.4 63.7

Dilia division ----------------------- 342 13.5 11.7 5.6 1.8 3.8 63 6.3 6.3 6.3 13.0 52.0 – 47.6

Santa Rosa division ------------------ 1 655 9.7 6.3 4.9 4.2 1.9 384 18.0 17.4 5.7 25.6 70.4 11.4 68.5

Santa Rosa city ------------------- 1 287 8.2 5.8 4.5 3.8 1.9 304 20.4 19.7 6.3 23.8 68.8 16.3 67.0

Vaughn division --------------------- 450 18.4 12.7 2.7 2.0 .7 120 11.7 11.7 1.7 14.5 67.0 – 58.5

Vaughn town--------------------- 400 20.0 14.3 3.0 2.3 .8 98 14.3 14.3 2.0 15.0 70.9 – 61.1

Harding County ----------------------- 528 6.6 4.0 3.6 2.3 2.3 206 20.4 20.4 6.3 25.7 74.0 16.7 72.1

North Harding division ---------------- 420 6.9 4.5 3.6 1.9 2.4 186 21.0 21.0 7.0 17.2 74.2 – 71.6

Mosquero village (pt.)-------------- 77 10.4 2.6 ––– 46 26.1 26.1 8.7 37.5 68.1 – 64.9

Roy village ---------------------- 191 7.3 6.3 1.6 1.6 1.6 96 20.8 20.8 9.4 14.3 74.0 – 70.7

South Harding division ---------------- 108 5.6 1.9 3.7 3.7 1.9 20 15.0 15.0 – 66.7 73.5 50.0 74.0

Hidalgo County ----------------------- 3 468 8.4 5.0 7.4 1.8 6.5 599 17.7 13.5 8.5 34.1 74.8 20.3 72.3

North Hidalgo division ---------------- 2 581 8.1 5.2 9.7 2.2 8.6 564 16.7 12.2 9.0 26.9 74.0 12.1 71.5

Lordsburg city -------------------- 1 593 8.6 5.3 13.9 1.8 12.1 355 23.9 16.9 14.4 24.1 74.7 – 71.6

Virden village--------------------- 57 ––––– 24 –––– 82.5 – 82.5

South Hidalgo division ---------------- 887 9.6 4.6 .7 .7 .7 35 34.3 34.3 – 51.8 77.2 100.0 74.6

Lea County -------------------------- 32 870 9.3 5.8 4.0 2.2 3.0 5 688 19.6 15.2 12.3 29.0 71.4 13.4 68.7

Eunice division ---------------------- 1 762 4.8 4.0 2.0 .5 1.6 353 19.3 14.2 11.0 16.7 65.9 – 63.8

Eunice city----------------------- 1 621 4.8 3.9 2.2 .5 1.7 283 16.3 16.3 7.4 18.2 65.5 – 63.6

Hobbs division ---------------------- 21 984 9.5 5.6 4.1 2.2 3.2 3 601 19.5 15.6 11.3 32.5 73.5 17.9 70.7

Hobbs city----------------------- 17 040 9.7 6.2 4.8 2.5 3.7 3 045 19.8 15.7 11.4 30.0 71.8 20.1 69.0

Jal division ------------------------ 1 371 8.5 5.5 2.5 1.4 1.5 279 15.4 14.3 5.4 23.9 61.9 21.1 59.2

Jal city ------------------------- 1 270 8.3 5.4 2.4 1.5 1.3 251 15.9 14.7 6.0 22.6 61.6 21.1 58.9

Lovington division ------------------- 6 885 10.0 7.0 4.8 3.0 3.2 1 254 19.2 12.8 15.6 22.8 68.5 3.4 65.8

Lovington city -------------------- 5 164 10.6 7.5 5.1 2.9 3.3 997 19.9 14.1 15.2 22.4 67.3 – 64.4

Tatum division ---------------------- 868 9.4 6.5 2.1 .8 1.7 201 28.9 26.4 20.9 12.2 69.5 – 64.6

Tatum town---------------------- 490 8.4 6.3 3.1 1.4 2.4 81 29.6 23.5 22.2 14.6 69.0 – 65.4

Lincoln County ------------------------ 7 209 10.0 5.9 4.1 3.5 3.0 1 871 15.2 14.5 6.8 30.5 77.2 22.4 74.4

Capitan division --------------------- 1 255 7.5 3.9 2.2 1.3 1.4 301 11.0 10.0 5.6 35.1 80.0 18.8 77.4

Capitan village-------------------- 533 9.4 7.3 3.6 3.0 1.7 136 8.8 6.6 5.1 22.0 78.9 18.8 75.2

Ruidoso village (pt.) --------------- – ––––– ––––––– – Carrizozo division ------------------- 698 8.9 7.0 2.7 2.7 2.4 273 24.2 22.7 9.9 11.3 76.3 – 72.5

Carrizozo town ------------------- 564 7.8 6.7 2.8 2.8 2.5 252 24.6 23.0 10.7 6.8 75.0 – 71.7

Corona division --------------------- 326 19.3 5.8 4.6 4.6 1.2 63 34.9 34.9 7.9 57.1 75.3 33.3 73.6

Corona village -------------------- 136 20.6 11.8 7.4 7.4 2.9 35 37.1 37.1 – 28.6 73.1 – 69.0

Hondo division---------------------- 513 23.8 16.2 5.7 5.7 1.0 152 13.2 13.2 – 13.9 78.0 – 66.5

Ruidoso division--------------------- 4 417 8.5 5.0 4.7 3.9 3.8 1 082 13.3 12.7 7.3 33.4 76.7 28.1 74.8

Ruidoso village (pt.) --------------- 2 780 8.8 5.4 6.5 5.5 5.3 717 12.3 11.3 8.1 29.4 78.1 30.1 76.4

Ruidoso Downs village -------------- 554 12.1 4.9 .4 – .4 129 13.2 13.2 1.6 50.7 76.8 – 73.6

Los Alamos County -------------------- 12 254 5.6 1.3 1.7 1.0 1.2 1 607 13.0 10.8 5.0 62.8 81.5 52.5 80.7

Los Alamos division ------------------ 7 930 6.4 1.5 1.6 1.1 .9 1 238 14.9 12.0 6.5 61.8 82.7 57.3 81.7

Los Alamos CDP ------------------ 7 667 6.2 1.4 1.7 1.2 1.0 1 217 15.1 12.2 6.7 62.1 83.0 57.3 82.0

White Rock division ------------------ 4 324 4.2 .8 1.9 .7 1.6 369 6.8 6.8 – 65.7 79.3 37.9 79.0

White Rock CDP------------------- 4 266 4.2 .8 1.9 .7 1.6 369 6.8 6.8 – 65.7 79.2 37.9 78.9

Luna County ------------------------- 9 785 14.0 9.7 6.6 3.9 4.4 3 539 15.2 12.4 10.7 23.9 67.1 14.0 62.9

Deming North division ---------------- 7 683 13.7 9.6 6.8 4.0 4.8 2 698 16.9 13.9 11.9 25.5 67.8 17.4 63.8

Deming city (pt.)------------------ 5 816 12.1 8.9 6.6 3.8 4.6 2 055 16.7 13.4 11.5 20.9 67.3 18.3 63.4

Deming South division ---------------- 2 102 15.2 10.0 5.7 3.6 2.8 841 9.9 7.6 6.7 18.8 64.6 – 59.7

Columbus village ------------------ 308 13.6 8.1 1.3 1.3 – 159 6.3 6.3 1.3 28.6 47.7 – 45.7

Deming city (pt.)------------------ – ––––– ––––––– –

McKinley County ---------------------- 35 356 7.4 4.0 13.2 2.4 12.3 3 668 26.4 16.5 20.0 30.6 66.0 18.7 64.4

Crownpoint division ------------------ 2 875 6.2 4.7 18.1 4.9 17.3 226 15.5 10.6 7.5 8.4 52.2 10.6 51.5

Crownpoint CDP------------------- 1 110 1.5 .8 7.5 – 7.5 75 –––– 69.7 – 68.6

Gallup division ---------------------- 12 874 6.5 3.1 5.0 1.6 4.1 1 346 20.4 17.3 11.8 41.7 76.6 17.0 75.3

Gallup city (pt.)------------------- 11 648 6.6 2.9 5.1 1.7 4.2 1 235 22.2 18.9 12.9 45.6 78.2 18.3 77.1

Red Rock division-------------------- 10 231 9.2 5.6 23.1 2.6 22.2 1 277 33.2 14.8 29.9 18.0 56.2 6.8 54.0

Gallup city (pt.)------------------- 52 – – 36.5 17.3 36.5 ––––– 32.7 – 39.5

Reservation division ------------------ 4 900 8.0 4.5 21.3 3.1 20.9 433 32.8 16.6 25.2 38.9 59.8 51.6 58.4

Mexican Springs CDP--------------- 92 ––––– 7 –––– 38.0 – 38.0

Navajo CDP ---------------------- 1 082 2.5 2.5 18.1 – 18.1 ––––– 57.0 – 55.5

Tohatchi CDP --------------------- 464 3.9 – 52.2 – 52.2 39 100.0 – 100.0 100.0 90.8 – 91.2

Zuni division ----------------------- 4 476 6.1 2.3 2.1 1.8 1.0 386 24.1 22.5 17.1 42.5 72.4 13.6 71.6

Black Rock CDP ------------------- 437 4.8 1.4 1.4 1.4 – 6 100.0 100.0 100.0 42.9 81.7 – 81.0

Zuni Pueblo CDP ------------------ 3 662 6.1 2.6 2.2 1.9 1.2 366 22.7 21.0 16.4 42.0 71.7 15.7 70.9

Mora County ------------------------- 2 512 9.4 7.8 3.8 2.5 3.0 630 18.4 16.2 6.5 4.2 57.9 – 54.2

Mora division ---------------------- 1 880 10.1 8.7 4.4 2.6 3.8 469 18.6 16.0 4.5 – 54.9 – 50.6

Wagon Mound division --------------- 632 7.3 5.2 2.2 2.2 .6 161 18.0 16.8 12.4 21.7 66.6 – 64.7

Wagon Mound village -------------- 188 6.9 5.3 1.6 1.6 .5 55 29.1 25.5 20.0 15.4 70.3 – 67.6

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 29
TIPSII [UPF] GPH535 CENSUS90 71583600 07/ 17/ 92 1:22 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 07/ 13/ 92 18:42:09 TAPE: NONE FRAME: 13

TSF:CENSUS90*92. 07/ 13/ 92 18:42:34 UTF:CENSUS90*93. 07/ 13/ 92 18:42:34 META:CENSUS90S*PH5T7-835. 07/ 13/ 92 18:43:35

Table 7. Disability Status: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Civilian noninstitutionalized persons 16 to 64 years

Percent with a work disabilityPercent with a mobility or self-care

limitation

Civilian noninstitutionalized persons 65 years and over

Percent with a mobility or self-care

limitation

Percent in labor force of civilian noninstitutionalized persons 16 to 64 years withm

Total Total

Prevented

from

working Total

Mobility limitationSelf-care

limitation Total Total

Mobility limitationSelf-care

limitation

A work disabilityNo work disabilityA mobility limitationNo mobility limitation

Otero County------------------------- 28 210 10.2 5.1 4.4 3.0 2.9 4 413 15.1 12.2 9.2 38.7 72.2 18.0 70.3

Alamogordo division ----------------- 20 931 9.4 4.6 4.3 2.9 2.7 3 237 16.2 12.9 10.4 41.0 72.2 19.4 70.8

Alamogordo city ------------------ 15 704 9.3 4.7 4.7 3.0 3.1 2 727 16.6 13.8 10.6 39.6 73.8 18.4 72.2

Boles Acres CDP ------------------ 856 12.0 5.3 5.4 5.4 – 171 7.6 1.8 7.6 44.7 69.7 15.2 69.6

Holloman AFB CDP----------------- 1 546 3.9 .6 4.1 1.6 2.5 10 ––– 42.6 55.6 60.0 55.0

La Luz CDP (pt.) ------------------ 955 9.9 2.8 1.9 1.9 1.9 103 25.2 25.2 3.9 66.3 78.3 – 78.5

Mescalero division ------------------- 1 463 9.5 7.1 5.1 3.8 2.7 81 14.8 12.3 9.9 25.2 70.4 14.5 68.1

Mescalero CDP ------------------- 675 13.2 10.5 7.0 5.9 3.4 58 15.5 12.1 12.1 20.2 68.3 12.5 65.0

Southeast Otero division -------------- 2 944 13.6 7.2 6.6 4.6 4.9 497 10.7 6.2 7.8 31.3 71.6 16.2 68.5

Cloudcroft village------------------ 378 6.3 4.0 6.3 3.2 4.2 50 4.0 – 4.0 12.5 82.2 – 80.3

La Luz CDP (pt.) ------------------ – ––––– ––––––– –

Tularosa division -------------------- 2 872 12.7 5.9 2.6 2.3 1.7 598 13.2 13.2 4.0 39.6 73.1 12.3 70.2

Tularosa village ------------------- 1 506 12.7 6.4 2.2 1.9 1.7 391 11.3 11.3 3.6 35.6 72.6 – 69.3

Quay County ------------------------- 6 338 13.2 7.1 4.2 3.1 2.7 1 700 18.3 15.1 9.5 34.7 75.5 16.8 71.8

House-Forrest division ---------------- 233 3.0 2.1 4.3 4.3 2.6 97 14.4 13.4 8.2 28.6 58.0 60.0 57.0

House village --------------------- 42 4.8 –––– 35 31.4 31.4 14.3 100.0 70.0 – 71.4

Logan-Nara Visa division -------------- 653 11.5 6.7 5.2 2.3 3.8 231 9.5 8.2 6.9 21.3 75.8 26.7 70.5

Logan village --------------------- 492 13.4 7.7 3.3 2.6 1.4 204 7.8 6.4 7.8 24.2 73.5 30.8 67.8

San Jon division -------------------- 381 7.6 3.7 2.6 2.6 1.8 61 9.8 9.8 6.6 41.4 69.3 – 69.0

San Jon village ------------------- 167 13.8 4.8 5.4 5.4 4.2 30 6.7 6.7 6.7 52.2 74.3 – 75.3

Tucumcari division ------------------- 5 071 14.3 7.7 4.2 3.2 2.6 1 311 20.5 16.7 10.1 35.8 76.9 14.3 72.9

Tucumcari city -------------------- 3 968 15.8 9.0 4.8 3.6 3.2 1 035 22.5 18.5 11.5 34.7 76.6 11.3 72.2

Rio Arriba County --------------------- 21 114 10.1 6.9 9.4 3.9 7.2 3 181 27.8 24.1 17.8 25.1 71.0 9.6 68.7

Chimayo division -------------------- 2 186 13.7 10.7 21.1 5.9 18.6 372 41.4 30.4 32.8 14.4 75.8 5.5 71.2

Chimayo CDP (pt.)----------------- 1 372 12.8 10.8 14.5 5.8 11.0 181 29.3 24.3 29.3 12.5 80.6 8.9 75.7

Coyote division --------------------- 933 6.5 5.0 30.0 2.5 28.4 197 47.2 47.2 38.1 – 62.4 – 59.8

Dixon division ---------------------- 950 15.7 12.7 28.3 6.4 22.7 88 39.8 28.4 11.4 16.1 63.3 13.1 58.8

Jicarilla division --------------------- 1 500 5.3 2.7 6.3 1.7 5.5 86 31.4 31.4 16.3 39.2 74.6 7.7 73.9

Dulce CDP (pt.) ------------------- 1 438 5.4 2.6 6.3 1.8 5.4 67 26.9 26.9 16.4 40.3 74.9 7.7 74.2

Rio Chama division ------------------ 1 548 12.3 8.0 7.4 5.7 2.8 224 15.6 9.4 9.8 18.9 59.1 – 57.5

San Juan Pueblo division -------------- 3 349 9.6 6.7 8.6 3.8 7.0 394 29.2 21.6 19.3 26.3 71.7 4.8 69.7

Alcalde CDP---------------------- 171 15.2 12.3 66.7 4.7 66.7 38 76.3 23.7 71.1 15.4 73.8 – 68.1

Espanola city (pt.)----------------- 550 12.0 6.5 8.4 4.0 6.2 55 23.6 23.6 7.3 33.3 68.8 – 67.2

San Juan CDP -------------------- 249 4.8 4.8 6.8 3.2 6.8 68 23.5 16.2 23.5 – 67.5 – 66.4

Santa Clara division ------------------ 4 679 8.9 5.6 3.7 2.8 1.9 794 19.4 18.0 11.5 30.8 72.9 17.7 70.7

Espanola city (pt.)----------------- 2 326 11.7 8.2 4.6 3.8 2.1 466 15.7 13.9 8.4 26.7 71.3 11.2 68.2

Santa Clara Pueblo CDP ------------- 705 8.9 5.2 6.4 3.1 4.4 92 29.3 26.1 19.6 36.5 65.0 18.2 63.8

South Rio Arriba division -------------- 3 700 9.7 6.8 4.1 3.4 2.5 536 32.1 31.0 17.5 28.7 74.9 7.1 72.7

Espanola city (pt.)----------------- 799 9.3 4.5 2.1 1.1 2.1 189 28.0 28.0 24.3 51.4 71.0 – 70.0

Tierra Amarilla division---------------- 1 728 9.7 6.3 6.2 4.6 3.9 398 22.4 22.4 13.1 35.7 66.0 30.4 64.6

Chama village -------------------- 664 10.8 6.5 7.4 6.3 2.3 132 19.7 19.7 9.1 40.3 81.6 45.2 79.3

Dulce CDP (pt.) ------------------- – ––––– ––––––– –

Vallecitas division ------------------- 305 12.5 12.5 8.5 5.9 4.6 92 9.8 6.5 9.8 – 65.9 – 61.3

Western Rio Arriba division ------------ 236 17.4 7.6 7.6 7.6 7.6 –––– 56.1 76.9 – 79.4

Roosevelt County---------------------- 10 139 12.2 6.4 3.0 2.1 1.8 2 141 16.1 13.8 7.9 31.9 75.1 11.0 71.0

Dora division ----------------------- 324 5.9 .6 .6 .6 .6 135 3.0 3.0 3.0 68.4 73.4 – 73.6

Causey village -------------------- 32 12.5 –––– 9 ––– 50.0 75.0 – 71.9

Dora village (pt.)------------------ 83 4.8 2.4 ––– 30 6.7 6.7 6.7 50.0 70.9 – 69.9

Elida division ----------------------- 731 7.3 3.1 1.1 1.1 – 167 5.4 5.4 3.0 41.5 75.1 – 73.4

Elida town ----------------------- 102 8.8 –––– 40 ––– 100.0 71.0 – 73.5

Floyd village --------------------- 71 14.1 5.6 2.8 2.8 – 26 15.4 15.4 – 50.0 80.3 – 78.3

Portales division--------------------- 9 084 12.8 6.9 3.2 2.2 2.0 1 839 18.0 15.3 8.7 30.8 75.1 11.6 70.8

Dora village (pt.)------------------ – ––––– ––––––– – Portales city --------------------- 6 550 13.7 7.8 4.1 2.6 2.7 1 343 21.1 17.4 11.4 27.9 74.9 8.7 70.0

Sandoval County ---------------------- 38 179 7.3 3.5 4.3 1.7 3.3 6 242 14.5 10.9 9.2 40.7 75.8 23.3 74.1

Bernalillo division -------------------- 29 051 7.2 3.2 2.1 1.4 1.3 5 001 13.3 10.6 8.3 46.8 81.2 18.8 79.6

Bernalillo town ------------------- 3 659 10.9 6.5 3.0 2.2 2.1 464 22.2 20.9 14.4 29.0 76.6 13.9 72.6

Corrales village (pt.) --------------- 3 275 5.6 1.9 1.6 .8 1.0 407 18.2 18.2 14.7 61.0 82.1 23.1 81.4

Placitas CDP --------------------- 1 099 4.7 1.8 1.4 1.4 .5 153 ––– 61.5 80.8 – 81.0

Rio Rancho city ------------------- 19 319 7.2 3.0 2.1 1.4 1.2 3 789 12.2 8.8 7.1 49.9 82.1 21.6 80.6

San Felipe Pueblo CDP (pt.) ---------- – ––––– ––––––– – Santa Ana Pueblo CDP (pt.)---------- 295 4.7 1.4 1.4 – 1.4 34 20.6 11.8 14.7 71.4 79.0 – 78.6

Cuba division ----------------------- 2 734 7.5 5.3 24.6 2.7 24.3 390 26.2 10.0 23.3 19.6 48.4 68.0 45.6

Cuba village---------------------- 424 10.4 8.3 3.5 2.6 2.4 100 9.0 7.0 5.0 15.9 72.1 18.2 67.6

Jemez division ---------------------- 2 489 6.5 3.0 5.3 2.2 3.9 336 19.9 16.4 12.2 40.1 66.1 31.5 65.2

Jemez Pueblo CDP ----------------- 818 6.5 3.5 10.0 2.9 9.3 106 9.4 5.7 6.6 20.8 53.7 20.8 52.5

Jemez Springs village -------------- 267 5.2 3.4 3.4 1.1 2.2 64 23.4 14.1 15.6 35.7 79.1 – 77.7

San Ysidro village ----------------- 120 8.3 5.0 3.3 3.3 – 15 53.3 53.3 – 40.0 80.9 – 80.2

Zia Pueblo CDP ------------------- 383 4.7 1.3 1.8 – 1.8 41 36.6 36.6 31.7 72.2 69.0 – 69.2

Santo Domingo division --------------- 3 905 8.5 5.1 5.8 3.3 3.9 515 13.4 11.5 4.9 15.1 60.1 7.8 57.9

Cochiti CDP ---------------------- 383 8.4 3.9 11.7 .5 11.7 60 18.3 18.3 – 31.3 59.3 – 57.2

Pena Blanca CDP ------------------ 201 11.9 11.9 10.0 6.5 7.0 51 21.6 21.6 7.8 – 65.5 – 61.7

San Felipe Pueblo CDP (pt.) ---------- 924 8.0 4.9 4.5 2.4 4.0 67 23.9 17.9 17.9 24.3 61.4 – 59.9

Santa Ana Pueblo CDP (pt.)---------- – ––––– ––––––– – Santo Domingo Pueblo CDP ---------- 1 559 9.0 5.3 5.7 4.3 2.6 130 7.7 7.7 – 5.0 56.7 10.4 54.0

San Juan County ---------------------- 54 315 9.4 5.3 8.1 2.7 6.6 6 752 22.0 14.9 15.4 32.1 69.3 24.1 67.0

Aztec division ---------------------- 8 038 11.9 6.9 5.2 2.6 3.5 1 102 18.6 15.2 8.2 31.8 74.0 17.6 70.3

Aztec city ----------------------- 3 040 13.3 7.5 5.4 3.0 3.2 533 23.5 23.5 5.3 36.6 76.1 27.5 72.2

Farmington city (pt.) --------------- 67 14.9 14.9 9.0 9.0 – 16 –––– 70.2 – 65.6

Flora Vista CDP ------------------- 695 7.1 2.0 2.2 1.0 1.2 99 25.3 – 25.3 42.9 74.3 – 72.8

Bloomfield division------------------- 6 494 8.9 4.8 2.6 1.6 1.6 727 15.4 13.5 6.5 29.8 67.8 13.2 65.2

Bloomfield city (pt.) --------------- 3 104 10.8 5.0 3.0 1.7 1.7 346 9.0 9.0 – 35.5 70.9 17.0 67.9

Burnham division -------------------- 2 135 11.9 7.4 17.7 3.3 15.8 199 37.2 32.2 37.2 32.8 61.6 42.3 58.8

Ojo Amarillo CDP------------------ 493 5.7 2.0 31.6 8.1 29.8 14 ––– 64.3 74.2 75.0 73.5

Farmington division ------------------ 25 515 6.7 3.0 4.9 1.8 3.9 3 302 18.0 12.9 13.1 41.8 76.4 33.5 74.8

Farmington city (pt.) --------------- 20 723 6.9 3.1 4.9 1.9 3.8 2 817 17.4 12.2 12.9 39.3 77.4 32.3 75.6

Kirtland CDP --------------------- 2 000 5.0 2.1 2.9 .7 2.5 214 25.2 22.9 14.0 53.5 69.4 – 69.0

Naschitti division -------------------- 1 319 19.1 10.8 21.9 3.4 19.9 180 29.4 18.9 13.9 35.3 53.9 – 52.1

Naschitti CDP--------------------- 338 28.7 4.1 ––– 56 50.0 50.0 – 85.6 66.4 – 71.9

Shiprock-Sanostee division ------------- 8 404 12.2 9.2 20.0 5.5 17.5 978 29.7 13.9 24.8 16.2 50.8 20.1 48.1

Newcomb CDP -------------------- 188 10.1 10.1 10.1 4.8 5.3 52 19.2 19.2 – – 40.2 – 38.0

Sanostee CDP -------------------- 418 10.8 5.5 82.1 7.2 82.1 23 100.0 – 100.0 15.6 42.1 23.3 40.5

Shiprock CDP--------------------- 4 395 10.7 8.5 17.7 5.5 14.8 344 11.0 9.6 6.1 15.3 56.1 19.2 53.6

Simpson-Chaco division --------------- 2 410 13.3 7.8 8.2 4.1 6.4 264 58.3 29.9 48.5 32.2 57.8 22.4 55.8

Bloomfield city (pt.) --------------- – ––––– ––––––– – Farmington city (pt.) --------------- – ––––– ––––––– –

30 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 71583600 07/ 17/ 92 1:22 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 07/ 13/ 92 18:42:09 TAPE: NONE FRAME: 14

TSF:CENSUS90*92. 07/ 13/ 92 18:42:34 UTF:CENSUS90*93. 07/ 13/ 92 18:42:34 META:CENSUS90S*PH5T7-835. 07/ 13/ 92 18:43:35

Table 7. Disability Status: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Civilian noninstitutionalized persons 16 to 64 years

Percent with a work disabilityPercent with a mobility or self-care

limitation

Civilian noninstitutionalized persons 65 years and over

Percent with a mobility or self-care

limitation

Percent in labor force of civilian noninstitutionalized persons 16 to 64 years withm

Total Total

Prevented

from

working Total

Mobility limitationSelf-care

limitation Total Total

Mobility limitationSelf-care

limitation

A work disabilityNo work disabilityA mobility limitationNo mobility limitation

San Miguel County -------------------- 15 528 10.1 6.5 4.4 2.5 3.3 2 822 20.8 18.5 13.6 28.6 68.9 12.3 66.2

Conchas Dam division ---------------- 130 ––––– 102 5.9 5.9 – – 34.6 – 34.6

Mosquero village (pt.)-------------- – ––––– ––––––– –

Las Vegas division ------------------- 12 176 10.4 6.5 5.0 2.5 4.0 2 106 24.5 21.9 16.4 28.6 68.7 13.4 65.9

Las Vegas city-------------------- 9 036 11.0 6.7 6.1 2.8 4.9 1 696 26.0 22.9 18.0 30.2 71.1 12.1 68.2

Pecos division ---------------------- 2 158 8.2 4.8 2.0 2.0 .5 324 12.0 10.2 3.4 37.1 76.5 – 74.7

Pecos village --------------------- 628 8.0 4.3 2.1 2.1 1.3 155 11.0 7.1 3.9 30.0 81.3 – 78.9

Trementina division ------------------ 135 28.9 28.9 14.8 8.9 5.9 97 9.3 9.3 9.3 – 49.0 – 38.2

Villanueva division ------------------- 929 9.7 7.4 2.2 2.2 – 193 9.3 6.2 9.3 23.3 61.6 30.0 58.5

Santa Fe County ---------------------- 64 308 7.0 3.2 3.6 1.7 2.7 9 708 20.5 17.1 10.7 46.8 80.7 22.2 79.3

Santa Fe division -------------------- 41 207 6.6 3.0 3.9 1.8 3.0 7 280 20.9 17.1 11.3 45.5 81.5 22.7 80.1

Agua Fria CDP -------------------- 2 382 9.4 5.3 5.4 4.4 3.1 285 16.1 16.1 – 32.6 84.0 – 82.8

Santa Fe city (pt.)----------------- 36 950 6.5 2.8 3.9 1.6 3.1 6 737 21.7 17.6 11.9 46.8 81.4 27.6 80.1

Tesuque CDP (pt.) ----------------- – ––––– ––––––– – Santa Fe North division --------------- 9 683 8.7 5.3 3.8 2.4 2.3 1 239 22.8 20.3 11.1 34.6 76.3 22.0 73.9

Chimayo CDP (pt.)----------------- 380 13.4 6.1 3.2 – 3.2 98 25.5 25.5 9.2 41.2 77.5 – 72.6

Cuyamungue CDP------------------ 203 12.8 5.4 3.9 3.0 1.0 33 66.7 66.7 21.2 50.0 82.5 33.3 79.7

Espanola city (pt.)----------------- 1 332 10.1 6.5 5.1 2.9 3.5 223 27.8 21.5 11.2 32.8 78.1 28.2 74.9

Jaconita CDP --------------------- 243 4.9 2.9 4.5 – 4.5 38 ––– 41.7 87.4 – 85.2

Nambe CDP ---------------------- 832 9.4 4.4 7.9 2.3 7.2 124 11.3 7.3 10.5 35.9 76.8 31.6 73.9

Pojoaque CDP -------------------- 654 4.9 3.2 2.1 1.2 1.5 54 24.1 24.1 13.0 28.1 77.8 25.0 76.0

San Ildefonso Pueblo CDP ----------- 236 – – 1.7 – 1.7 50 6.0 6.0 6.0 – 67.4 – 67.4

Santa Cruz CDP------------------- 1 615 9.3 6.7 4.3 3.6 1.8 80 52.5 52.5 15.0 21.2 71.0 27.6 67.8 Santa Fe city (pt.)----------------- 41 ––––– ––––– 58.5 – 58.5

Tesuque CDP (pt.) ----------------- 1 075 5.5 1.8 .3 .3 – 161 26.1 26.1 21.1 64.4 75.0 100.0 74.3

Santa Fe South division --------------- 13 418 7.0 2.3 2.5 .7 1.9 1 189 15.6 13.3 6.6 61.8 81.5 18.7 80.6

Edgewood CDP (pt.) --------------- 1 696 6.1 2.7 1.6 1.6 .4 247 9.3 9.3 5.7 52.9 73.2 29.6 72.7

Eldorado at Santa Fe CDP ----------- 1 588 7.7 2.7 .4 .4 – 131 6.1 6.1 – 65.0 82.4 – 81.4

La Cienega CDP ------------------- 598 5.9 2.0 ––– 39 ––– 31.4 85.4 – 82.3

Santa Fe city (pt.)----------------- 92 ––––– ––––– 100.0 – 100.0

Sierra County ------------------------ 4 896 16.4 11.1 6.1 4.8 3.1 2 980 15.3 12.3 8.9 22.5 70.7 13.6 65.2

Truth or Consequences East division ------ 3 819 17.3 11.5 7.0 5.4 3.7 2 558 15.4 12.0 8.7 23.2 71.3 12.6 65.9

Truth or Consequences city ---------- 2 849 18.2 12.4 7.9 6.3 3.9 2 037 16.2 11.9 9.8 24.1 72.1 14.5 66.6

Williamsburg village ---------------- 194 10.3 6.2 ––– 183 10.4 10.4 8.7 15.0 69.5 – 63.9

Truth or Consequences West division ----- 1 077 13.6 9.8 2.8 2.8 1.1 422 14.2 14.2 10.0 19.2 68.4 20.0 62.9

Socorro County ----------------------- 9 126 9.6 5.8 3.5 2.0 2.5 1 504 20.6 18.1 13.6 31.3 73.6 19.9 70.6

Claunch division --------------------- 88 ––––– 14 –––– 93.2 – 93.2

Magdalena division ------------------ 1 662 8.0 5.8 6.3 3.2 4.8 244 28.7 20.5 18.4 22.6 67.8 24.5 65.5

Magdalena village ----------------- 523 7.8 5.7 8.6 3.4 6.7 120 33.3 18.3 29.2 26.8 68.9 11.1 67.5

Socorro city (pt.)------------------ – ––––– ––––––– –

Rio Grande division ------------------ 7 376 10.0 5.8 2.9 1.8 2.0 1 246 19.3 17.8 12.8 32.8 74.7 18.0 71.5

Socorro city (pt.)------------------ 5 183 9.7 5.0 2.8 1.2 2.3 858 18.8 17.5 13.3 35.9 75.8 28.1 72.5

Taos County ------------------------- 14 566 10.4 6.7 4.4 2.6 3.0 2 560 19.6 17.7 11.6 29.5 73.5 8.9 70.5

Arroyo Hondo division ---------------- 1 871 10.4 6.5 1.6 1.2 1.0 234 15.4 14.1 4.7 32.3 76.4 – 72.7

Questa village (pt.) ---------------- – ––––– ––––––– – Penasco division--------------------- 694 22.6 16.9 8.5 8.5 5.0 207 42.0 39.1 32.4 21.0 67.8 11.9 61.4

Picuris division ---------------------- 1 146 13.6 10.6 4.4 3.0 2.8 225 26.7 17.3 17.8 15.4 57.7 5.9 53.3

Chamisal CDP -------------------- 139 19.4 15.8 5.8 3.6 5.8 61 19.7 14.8 19.7 18.5 52.7 – 47.8

Penasco CDP --------------------- 399 12.5 10.8 2.5 2.5 – 48 25.0 25.0 – 6.0 61.9 – 56.3

Vadito CDP ---------------------- 188 16.0 6.9 2.1 2.1 2.1 29 17.2 17.2 6.9 33.3 53.2 50.0 50.0

Questa division --------------------- 2 005 11.7 7.4 10.8 3.6 8.5 421 19.2 16.6 8.3 27.2 74.1 15.3 70.6

Questa village (pt.) ---------------- 1 027 13.2 8.8 7.5 3.3 5.5 186 15.6 14.0 9.7 21.3 71.2 2.9 66.7

Red River town ------------------- 289 7.6 1.7 ––– 27 ––– 77.3 92.1 – 91.0

Taos division ----------------------- 7 145 8.3 5.2 3.0 1.9 1.7 1 201 16.4 16.2 9.7 32.9 76.8 7.4 74.4

Ranchos De Taos CDP -------------- 1 078 14.0 7.3 3.7 2.2 1.9 120 28.3 28.3 8.3 39.7 77.1 – 73.5

Taos town (pt.)------------------- 2 452 8.0 4.6 3.1 2.3 2.0 559 19.3 18.8 12.3 36.4 77.3 17.9 75.4

Taos Pueblo division------------------ 1 380 8.6 4.8 3.6 2.4 2.4 237 16.9 15.2 11.4 26.3 72.5 12.1 69.9

Taos town (pt.)------------------- 27 11.1 11.1 ––– 11 45.5 45.5 27.3 – 91.7 – 81.5

Taos Pueblo CDP ------------------ 729 8.8 4.3 3.0 1.5 1.9 144 20.8 18.1 14.6 31.3 69.9 36.4 67.0

Tres Piedras division ----------------- 325 18.8 7.7 7.7 7.7 7.7 35 ––– 59.0 43.2 – 50.0

Torrance County ---------------------- 6 122 11.5 6.2 3.0 2.8 1.2 1 161 14.2 13.9 5.6 34.0 71.5 17.5 68.6

Encino division ---------------------- 308 6.8 2.6 1.3 1.3 1.3 148 16.2 16.2 – 61.9 66.2 50.0 66.1

Encino village--------------------- 84 9.5 9.5 2.4 2.4 2.4 23 21.7 21.7 – – 76.3 – 70.7

Estancia division -------------------- 4 891 11.4 6.3 3.0 2.8 1.0 717 15.9 15.3 6.6 34.3 72.4 14.7 69.6

Edgewood CDP (pt.) --------------- 300 10.0 4.0 .7 .7 – 18 16.7 16.7 16.7 46.7 78.5 – 75.8

Estancia town -------------------- 409 10.3 5.9 4.2 3.7 2.2 132 16.7 16.7 9.1 33.3 65.9 33.3 63.7

Moriarty city --------------------- 810 13.2 6.8 3.6 3.6 2.3 184 23.4 23.4 6.5 44.9 76.7 27.6 74.1

Mountainair division------------------ 923 13.5 7.4 3.8 3.4 1.8 296 9.1 9.1 6.1 28.0 68.5 25.8 64.3

Mountainair town ----------------- 472 13.3 6.6 1.5 1.5 .4 188 2.7 2.7 1.6 25.4 65.5 42.9 60.4

Willard village -------------------- 119 12.6 4.2 4.2 4.2 4.2 22 18.2 18.2 18.2 66.7 72.1 60.0 71.9

Union County------------------------- 2 334 6.7 3.5 2.8 1.4 1.8 698 11.0 11.0 4.4 45.2 72.8 34.4 71.5

Clayton North division ---------------- 530 5.1 .8 7.7 2.5 5.3 98 18.4 18.4 11.2 70.4 71.4 38.5 72.1

Clayton town (pt.)----------------- – ––––– ––––––– –

Des Moines village----------------- 85 5.9 – 17.6 – 17.6 17 ––– 100.0 76.3 – 77.6

Folsom village -------------------- 101 8.9 4.0 8.9 8.9 – 13 23.1 23.1 – 55.6 48.9 55.6 48.9

Grenville village ------------------- 7 ––––– 5 –––– 100.0 – 100.0

Clayton South division ---------------- 1 804 7.2 4.3 1.3 1.1 .8 600 9.8 9.8 3.3 40.0 73.2 31.6 71.3

Clayton town (pt.)----------------- 1 269 7.5 4.3 1.4 1.0 .6 522 10.2 10.2 3.8 43.2 76.6 46.2 74.4

Valencia County----------------------- 26 758 11.2 6.0 4.1 2.9 2.5 4 452 16.5 14.7 11.0 38.5 75.0 24.0 72.3

Belen division ---------------------- 8 468 12.4 7.2 5.5 3.4 3.7 2 266 15.6 12.8 10.2 34.4 73.6 18.3 70.5

Belen city ----------------------- 3 680 13.3 8.0 7.2 3.7 5.3 850 23.8 16.1 15.5 32.8 71.3 21.9 67.9

Los Chaves CDP (pt.)--------------- 24 ––––– 9 –––– 45.8 – 45.8

Los Trujillos-Gabaldon CDP (pt.) ------- 1 023 17.6 11.1 9.1 7.3 4.9 254 13.8 13.8 5.1 21.1 69.3 16.0 64.3

Rio Communities CDP--------------- 1 725 12.1 5.9 1.0 1.0 – 905 7.2 7.2 4.6 46.9 76.5 29.4 73.3

Los Lunas division ------------------- 18 290 10.7 5.4 3.5 2.7 2.0 2 186 17.5 16.7 11.8 40.6 75.6 27.4 73.1

Bosque Farms village --------------- 2 490 6.8 2.2 1.7 1.7 1.2 308 17.5 17.5 9.1 59.8 74.5 61.9 73.7

Isleta Pueblo CDP (pt.) ------------- 228 4.4 4.4 2.2 1.3 2.2 22 13.6 13.6 – – 72.9 – 70.7

Los Chaves CDP (pt.)--------------- 2 351 16.0 7.0 7.8 6.9 4.6 313 17.6 17.6 17.6 48.3 80.8 38.7 78.4

Los Lunas village ------------------ 3 611 10.5 6.6 2.7 2.5 1.2 465 13.3 11.6 9.5 28.3 75.6 24.2 71.8

Los Trujillos-Gabaldon CDP (pt.) ------- – ––––– ––––––– –

Meadow Lake CDP----------------- 995 18.1 10.7 2.8 2.8 – 93 18.3 18.3 12.9 35.6 70.7 – 66.2

Peralta CDP ---------------------- 2 018 9.4 5.3 .9 .5 .9 298 18.5 18.5 12.8 31.2 77.2 – 73.3

Tome-Adelino CDP ----------------- 1 011 11.6 6.6 2.9 1.1 2.3 122 23.8 23.8 5.7 30.8 72.4 54.5 67.7

Valencia CDP --------------------- 2 507 8.7 3.2 3.5 2.0 1.9 284 19.4 18.0 14.8 52.3 74.2 14.3 73.5

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 31
TIPSII [UPF] GPH535 CENSUS90 71583600 07/ 17/ 92 1:22 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 07/ 13/ 92 18:42:09 TAPE: NONE FRAME: 15

TSF:CENSUS90*92. 07/ 13/ 92 18:42:34 UTF:CENSUS90*93. 07/ 13/ 92 18:42:34 META:CENSUS90S*PH5T7-835. 07/ 13/ 92 18:43:35

Table 8. Disability Status: 1990

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Civilian noninstitutionalized persons 16 to 64 years

Percent with a work disabilityPercent with a mobility or self-care

limitation

Civilian noninstitutionalized persons 65 years and over

Percent with a mobility or self-care

limitation

Percent in labor force of civilian noninstitutionalized persons 16 to 64 years withm

Total Total

Prevented

from

working Total

Mobility limitationSelf-care

limitation Total Total

Mobility limitationSelf-care

limitation

A work disabilityNo work disabilityA mobility limitationNo mobility limitation

The State ------------------- 927 781 8.8 4.7 4.6 2.3 3.4 156 638 18.4 14.9 10.7 37.2 75.1 19.5 72.9

COUNTY Bernalillo County ---------------------- 310 308 8.4 4.0 3.8 2.0 2.6 48 487 18.7 15.2 10.1 43.6 79.8 23.4 77.8

Catron County ------------------------ 1 560 9.2 6.3 2.8 1.8 1.3 391 10.7 10.7 3.3 25.9 67.7 17.9 64.8

Chaves County------------------------ 33 529 10.2 5.7 4.9 2.8 3.5 8 034 16.5 13.6 9.4 31.5 74.0 16.7 71.2

Cibola County ------------------------ 13 930 10.3 7.2 5.2 3.0 3.4 1 931 17.8 15.4 10.5 23.2 66.5 11.0 63.6

Colfax County ------------------------ 7 391 9.3 4.9 5.2 2.2 3.5 1 983 19.8 14.6 12.4 41.9 74.9 8.1 73.2

Curry County ------------------------- 22 735 10.1 5.9 3.8 2.4 2.4 4 342 20.0 14.8 11.4 33.9 74.6 14.3 71.9

DeBaca County ----------------------- 1 231 12.8 8.1 4.0 3.2 1.5 470 11.5 10.6 4.0 21.7 74.9 12.8 69.9

Dona Ana County --------------------- 84 731 6.6 3.3 3.1 1.7 2.2 11 717 16.9 14.1 10.0 37.4 69.7 18.8 68.4

Eddy County ------------------------- 27 794 11.4 6.4 3.7 2.4 2.5 6 945 19.4 15.6 10.4 33.4 74.3 13.6 71.0

Grant County------------------------- 16 210 9.8 5.4 5.4 2.3 4.2 3 649 15.6 13.1 8.9 34.4 70.7 16.2 68.3

Guadalupe County --------------------- 2 447 11.8 8.2 4.6 3.5 2.0 567 15.3 15.0 4.9 20.4 67.3 9.4 63.7

Harding County ----------------------- 528 6.6 4.0 3.6 2.3 2.3 206 20.4 20.4 6.3 25.7 74.0 16.7 72.1

Hidalgo County ----------------------- 3 468 8.4 5.0 7.4 1.8 6.5 599 17.7 13.5 8.5 34.1 74.8 20.3 72.3

Lea County -------------------------- 32 870 9.3 5.8 4.0 2.2 3.0 5 688 19.6 15.2 12.3 29.0 71.4 13.4 68.7

Lincoln County ------------------------ 7 209 10.0 5.9 4.1 3.5 3.0 1 871 15.2 14.5 6.8 30.5 77.2 22.4 74.4

Los Alamos County -------------------- 12 254 5.6 1.3 1.7 1.0 1.2 1 607 13.0 10.8 5.0 62.8 81.5 52.5 80.7

Luna County ------------------------- 9 785 14.0 9.7 6.6 3.9 4.4 3 539 15.2 12.4 10.7 23.9 67.1 14.0 62.9

McKinley County ---------------------- 35 356 7.4 4.0 13.2 2.4 12.3 3 668 26.4 16.5 20.0 30.6 66.0 18.7 64.4

Mora County ------------------------- 2 512 9.4 7.8 3.8 2.5 3.0 630 18.4 16.2 6.5 4.2 57.9 – 54.2

Otero County------------------------- 28 210 10.2 5.1 4.4 3.0 2.9 4 413 15.1 12.2 9.2 38.7 72.2 18.0 70.3

Quay County ------------------------- 6 338 13.2 7.1 4.2 3.1 2.7 1 700 18.3 15.1 9.5 34.7 75.5 16.8 71.8

Rio Arriba County --------------------- 21 114 10.1 6.9 9.4 3.9 7.2 3 181 27.8 24.1 17.8 25.1 71.0 9.6 68.7

Roosevelt County---------------------- 10 139 12.2 6.4 3.0 2.1 1.8 2 141 16.1 13.8 7.9 31.9 75.1 11.0 71.0

Sandoval County ---------------------- 38 179 7.3 3.5 4.3 1.7 3.3 6 242 14.5 10.9 9.2 40.7 75.8 23.3 74.1

San Juan County ---------------------- 54 315 9.4 5.3 8.1 2.7 6.6 6 752 22.0 14.9 15.4 32.1 69.3 24.1 67.0

San Miguel County -------------------- 15 528 10.1 6.5 4.4 2.5 3.3 2 822 20.8 18.5 13.6 28.6 68.9 12.3 66.2

Santa Fe County ---------------------- 64 308 7.0 3.2 3.6 1.7 2.7 9 708 20.5 17.1 10.7 46.8 80.7 22.2 79.3

Sierra County ------------------------ 4 896 16.4 11.1 6.1 4.8 3.1 2 980 15.3 12.3 8.9 22.5 70.7 13.6 65.2

Socorro County ----------------------- 9 126 9.6 5.8 3.5 2.0 2.5 1 504 20.6 18.1 13.6 31.3 73.6 19.9 70.6

Taos County ------------------------- 14 566 10.4 6.7 4.4 2.6 3.0 2 560 19.6 17.7 11.6 29.5 73.5 8.9 70.5

Torrance County ---------------------- 6 122 11.5 6.2 3.0 2.8 1.2 1 161 14.2 13.9 5.6 34.0 71.5 17.5 68.6

Union County------------------------- 2 334 6.7 3.5 2.8 1.4 1.8 698 11.0 11.0 4.4 45.2 72.8 34.4 71.5

Valencia County----------------------- 26 758 11.2 6.0 4.1 2.9 2.5 4 452 16.5 14.7 11.0 38.5 75.0 24.0 72.3

PLACE AND COUNTY SUBDIVISION Acomita Lake CDP, Cibola County--------- 146 13.7 4.1 3.4 3.4 – 26 19.2 19.2 7.7 55.0 70.6 60.0 68.8

Agua Fria CDP, Santa Fe County --------- 2 382 9.4 5.3 5.4 4.4 3.1 285 16.1 16.1 – 32.6 84.0 – 82.8

Alamogordo city, Otero County ---------- 15 704 9.3 4.7 4.7 3.0 3.1 2 727 16.6 13.8 10.6 39.6 73.8 18.4 72.2

Albuquerque city, Bernalillo County-------- 251 498 8.2 3.7 3.7 1.9 2.5 41 006 18.3 14.6 10.2 45.6 80.7 24.4 78.9

Alcalde CDP, Rio Arriba County ---------- 171 15.2 12.3 66.7 4.7 66.7 38 76.3 23.7 71.1 15.4 73.8 – 68.1

Angel Fire village, Colfax County --------- 63 ––––– ––––– 90.5 – 90.5

Anthony CDP, Dona Ana County---------- 2 942 5.2 3.1 6.8 2.2 5.7 259 23.9 14.7 12.0 16.9 55.7 9.1 54.7

Artesia city, Eddy County--------------- 5 980 11.9 7.0 4.6 2.7 3.3 1 569 18.0 15.5 8.6 32.7 73.9 3.1 70.8

Aztec city, San Juan County ------------ 3 040 13.3 7.5 5.4 3.0 3.2 533 23.5 23.5 5.3 36.6 76.1 27.5 72.2

Bayard city, Grant County -------------- 1 423 10.1 6.8 10.8 3.4 8.5 322 13.0 11.5 10.9 23.6 72.5 16.3 69.4

Belen city, Valencia County ------------- 3 680 13.3 8.0 7.2 3.7 5.3 850 23.8 16.1 15.5 32.8 71.3 21.9 67.9

Bernalillo town, Sandoval County --------- 3 659 10.9 6.5 3.0 2.2 2.1 464 22.2 20.9 14.4 29.0 76.6 13.9 72.6

Black Rock CDP, McKinley County--------- 437 4.8 1.4 1.4 1.4 – 6 100.0 100.0 100.0 42.9 81.7 – 81.0

Bloomfield city, San Juan County --------- 3 104 10.8 5.0 3.0 1.7 1.7 346 9.0 9.0 – 35.5 70.9 17.0 67.9

Boles Acres CDP, Otero County ---------- 856 12.0 5.3 5.4 5.4 – 171 7.6 1.8 7.6 44.7 69.7 15.2 69.6

Bosque Farms village, Valencia County ----- 2 490 6.8 2.2 1.7 1.7 1.2 308 17.5 17.5 9.1 59.8 74.5 61.9 73.7

Cannon AFB CDP, Curry County ---------- 886 ––––– ––––– 63.0 – 63.0

Capitan village, Lincoln County ----------- 533 9.4 7.3 3.6 3.0 1.7 136 8.8 6.6 5.1 22.0 78.9 18.8 75.2

Carlsbad city, Eddy County-------------- 13 917 11.9 6.3 3.5 2.5 2.2 4 117 20.9 16.4 11.7 35.3 74.3 19.9 70.9

Carlsbad North CDP, Eddy County--------- 768 3.9 .8 2.2 .7 1.6 197 20.3 12.7 13.7 80.0 85.2 100.0 84.9

Carrizozo town, Lincoln County ---------- 564 7.8 6.7 2.8 2.8 2.5 252 24.6 23.0 10.7 6.8 75.0 – 71.7

Causey village, Roosevelt County --------- 32 12.5 –––– 9 ––– 50.0 75.0 – 71.9

Central village, Grant County ------------ 998 10.9 7.6 5.5 4.0 4.2 246 14.2 11.0 10.2 27.5 64.8 7.5 62.9

Chama village, Rio Arriba County --------- 664 10.8 6.5 7.4 6.3 2.3 132 19.7 19.7 9.1 40.3 81.6 45.2 79.3

Chamisal CDP, Taos County ------------- 139 19.4 15.8 5.8 3.6 5.8 61 19.7 14.8 19.7 18.5 52.7 – 47.8

Chaparral CDP, Dona Ana County--------- 1 832 11.0 5.0 3.1 2.7 .4 162 10.5 10.5 10.5 31.2 66.9 36.7 63.7

Chimayo CDP------------------------- 1 752 13.0 9.8 12.0 4.5 9.3 279 28.0 24.7 22.2 18.9 79.9 8.9 75.0

Rio Arriba County ------------------- 1 372 12.8 10.8 14.5 5.8 11.0 181 29.3 24.3 29.3 12.5 80.6 8.9 75.7

Santa Fe County -------------------- 380 13.4 6.1 3.2 – 3.2 98 25.5 25.5 9.2 41.2 77.5 – 72.6

Cimarron village, Colfax County ---------- 411 8.3 4.1 4.6 1.5 3.2 130 14.6 14.6 6.2 41.2 83.3 – 81.0

Clayton town, Union County------------- 1 269 7.5 4.3 1.4 1.0 .6 522 10.2 10.2 3.8 43.2 76.6 46.2 74.4

Cloudcroft village, Otero County---------- 378 6.3 4.0 6.3 3.2 4.2 50 4.0 – 4.0 12.5 82.2 – 80.3

Clovis city, Curry County --------------- 17 531 10.9 6.4 4.5 2.7 2.8 3 599 20.6 14.6 12.6 33.0 75.4 13.2 72.4

Cochiti CDP, Sandoval County------------ 383 8.4 3.9 11.7 .5 11.7 60 18.3 18.3 – 31.3 59.3 – 57.2

Columbus village, Luna County ----------- 308 13.6 8.1 1.3 1.3 – 159 6.3 6.3 1.3 28.6 47.7 – 45.7

Corona village, Lincoln County ----------- 136 20.6 11.8 7.4 7.4 2.9 35 37.1 37.1 – 28.6 73.1 – 69.0

Corrales village ----------------------- 3 641 5.4 1.8 1.4 .7 .9 487 17.5 17.5 12.3 60.5 80.9 23.1 80.2

Bernalillo County -------------------- 366 3.6 1.6 ––– 80 13.8 13.8 – 53.8 70.5 – 69.9

Sandoval County -------------------- 3 275 5.6 1.9 1.6 .8 1.0 407 18.2 18.2 14.7 61.0 82.1 23.1 81.4

Crownpoint CDP, McKinley County -------- 1 110 1.5 .8 7.5 – 7.5 75 –––– 69.7 – 68.6

Cuba village, Sandoval County ----------- 424 10.4 8.3 3.5 2.6 2.4 100 9.0 7.0 5.0 15.9 72.1 18.2 67.6

Cuyamungue CDP, Santa Fe County ------- 203 12.8 5.4 3.9 3.0 1.0 33 66.7 66.7 21.2 50.0 82.5 33.3 79.7

Deming city, Luna County--------------- 5 816 12.1 8.9 6.6 3.8 4.6 2 055 16.7 13.4 11.5 20.9 67.3 18.3 63.4

Des Moines village, Union County--------- 85 5.9 – 17.6 – 17.6 17 ––– 100.0 76.3 – 77.6

Dexter town, Chaves County ------------ 509 10.0 9.2 2.4 2.4 1.0 105 18.1 18.1 6.7 7.8 69.7 – 65.0

Dona Ana CDP, Dona Ana County -------- 551 3.8 3.8 1.5 – 1.5 71 16.9 16.9 16.9 – 64.7 – 62.3

Dora village, Roosevelt County ----------- 83 4.8 2.4 ––– 30 6.7 6.7 6.7 50.0 70.9 – 69.9

Dulce CDP, Rio Arriba County------------ 1 438 5.4 2.6 6.3 1.8 5.4 67 26.9 26.9 16.4 40.3 74.9 7.7 74.2

Eagle Nest village, Colfax County --------- 137 28.5 3.6 ––– 13 46.2 46.2 – 87.2 94.9 – 92.7

Edgewood CDP ----------------------- 1 996 6.7 2.9 1.5 1.5 .3 265 9.8 9.8 6.4 51.5 74.0 27.6 73.2

Santa Fe County -------------------- 1 696 6.1 2.7 1.6 1.6 .4 247 9.3 9.3 5.7 52.9 73.2 29.6 72.7

Torrance County -------------------- 300 10.0 4.0 .7 .7 – 18 16.7 16.7 16.7 46.7 78.5 – 75.8

Eldorado at Santa Fe CDP, Santa Fe County - 1 588 7.7 2.7 .4 .4 – 131 6.1 6.1 – 65.0 82.4 – 81.4

Elida town, Roosevelt County ------------ 102 8.8 –––– 40 ––– 100.0 71.0 – 73.5

Encino village, Torrance County----------- 84 9.5 9.5 2.4 2.4 2.4 23 21.7 21.7 – – 76.3 – 70.7

Espanola city ------------------------- 5 007 10.9 7.0 4.8 3.2 3.0 933 21.5 19.2 12.2 32.4 72.8 13.2 70.2

Rio Arriba County ------------------- 3 675 11.2 7.1 4.6 3.3 2.7 710 19.6 18.5 12.5 32.2 70.8 8.3 68.5

Santa Fe County -------------------- 1 332 10.1 6.5 5.1 2.9 3.5 223 27.8 21.5 11.2 32.8 78.1 28.2 74.9

32 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 71583600 07/ 17/ 92 1:22 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 07/ 13/ 92 18:42:09 TAPE: NONE FRAME: 16

TSF:CENSUS90*92. 07/ 13/ 92 18:42:34 UTF:CENSUS90*93. 07/ 13/ 92 18:42:34 META:CENSUS90S*PH5T7-835. 07/ 13/ 92 18:43:35

Table 8. Disability Status: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Civilian noninstitutionalized persons 16 to 64 years

Percent with a work disabilityPercent with a mobility or self-care

limitation

Civilian noninstitutionalized persons 65 years and over

Percent with a mobility or self-care

limitation

Percent in labor force of civilian noninstitutionalized persons 16 to 64 years withm

Total Total

Prevented

from

working Total

Mobility limitationSelf-care

limitation Total Total

Mobility limitationSelf-care

limitation

A work disabilityNo work disabilityA mobility limitationNo mobility limitation

PLACE AND COUNTY SUBDIVISIONm Con.

Estancia town, Torrance County ---------- 409 10.3 5.9 4.2 3.7 2.2 132 16.7 16.7 9.1 33.3 65.9 33.3 63.7

Eunice city, Lea County ---------------- 1 621 4.8 3.9 2.2 .5 1.7 283 16.3 16.3 7.4 18.2 65.5 – 63.6

Farmington city, San Juan County -------- 20 790 6.9 3.1 4.9 1.9 3.8 2 833 17.3 12.1 12.8 39.0 77.3 31.9 75.5

Flora Vista CDP, San Juan County -------- 695 7.1 2.0 2.2 1.0 1.2 99 25.3 – 25.3 42.9 74.3 – 72.8

Floyd village, Roosevelt County ---------- 71 14.1 5.6 2.8 2.8 – 26 15.4 15.4 – 50.0 80.3 – 78.3

Folsom village, Union County ------------ 101 8.9 4.0 8.9 8.9 – 13 23.1 23.1 – 55.6 48.9 55.6 48.9

Fort Sumner village, DeBaca County ------- 658 14.3 10.2 4.6 4.1 1.1 307 12.4 12.4 3.9 10.6 76.1 18.5 68.8

Gallup city, McKinley County ------------ 11 700 6.5 2.9 5.2 1.8 4.3 1 235 22.2 18.9 12.9 45.6 78.0 17.5 76.9

Grady village, Curry County ------------- 74 6.8 – 2.7 2.7 2.7 6 50.0 50.0 50.0 60.0 84.1 – 84.7

Grants city, Cibola County -------------- 5 156 10.7 7.5 7.1 3.1 5.2 689 17.9 16.3 7.5 23.3 68.8 1.9 65.9

Grenville village, Union County ----------- 7 ––––– 5 –––– 100.0 – 100.0

Hagerman town, Chaves County---------- 561 20.9 11.6 3.6 3.6 .4 117 12.0 12.0 4.3 35.0 71.2 – 66.0

Hatch village, Dona Ana County ---------- 641 5.3 4.2 11.7 3.0 11.7 164 17.1 9.8 13.4 20.6 59.0 – 58.7

Hobbs city, Lea County ---------------- 17 040 9.7 6.2 4.8 2.5 3.7 3 045 19.8 15.7 11.4 30.0 71.8 20.1 69.0

Holloman AFB CDP, Otero County--------- 1 546 3.9 .6 4.1 1.6 2.5 10 ––– 42.6 55.6 60.0 55.0

Hope village, Eddy County -------------- 53 15.1 5.7 ––– 37 8.1 8.1 – 37.5 55.6 – 52.8

House village, Quay County ------------- 42 4.8 –––– 35 31.4 31.4 14.3 100.0 70.0 – 71.4

Hurley town, Grant County-------------- 839 14.1 8.8 2.9 2.4 1.4 289 13.1 12.5 4.5 24.6 63.1 25.0 58.5

Isleta Pueblo CDP---------------------- 995 10.3 6.3 3.1 2.4 1.6 176 13.1 13.1 4.5 31.4 76.5 16.7 73.2

Bernalillo County -------------------- 767 12.0 6.9 3.4 2.7 1.4 154 13.0 13.0 5.2 34.8 77.6 19.0 74.0

Valencia County--------------------- 228 4.4 4.4 2.2 1.3 2.2 22 13.6 13.6 – – 72.9 – 70.7

Jaconita CDP, Santa Fe County----------- 243 4.9 2.9 4.5 – 4.5 38 ––– 41.7 87.4 – 85.2

Jal city, Lea County ------------------- 1 270 8.3 5.4 2.4 1.5 1.3 251 15.9 14.7 6.0 22.6 61.6 21.1 58.9

Jemez Pueblo CDP, Sandoval County ------ 818 6.5 3.5 10.0 2.9 9.3 106 9.4 5.7 6.6 20.8 53.7 20.8 52.5

Jemez Springs village, Sandoval County ---- 267 5.2 3.4 3.4 1.1 2.2 64 23.4 14.1 15.6 35.7 79.1 – 77.7

Kirtland CDP, San Juan County----------- 2 000 5.0 2.1 2.9 .7 2.5 214 25.2 22.9 14.0 53.5 69.4 – 69.0

La Cienega CDP, Santa Fe County--------- 598 5.9 2.0 ––– 39 ––– 31.4 85.4 – 82.3

Laguna CDP, Cibola County ------------- 285 4.9 4.9 4.9 4.9 4.9 54 7.4 7.4 7.4 – 65.7 – 65.7

Lake Arthur town, Chaves County -------- 171 11.1 9.4 29.2 25.7 28.7 37 40.5 35.1 40.5 15.8 65.8 40.9 66.9

La Luz CDP, Otero County -------------- 955 9.9 2.8 1.9 1.9 1.9 103 25.2 25.2 3.9 66.3 78.3 – 78.5

Las Cruces city, Dona Ana County -------- 39 953 7.0 3.4 3.1 1.7 2.2 6 821 18.4 16.2 10.2 40.1 74.5 18.7 73.0

Las Vegas city, San Miguel County ------- 9 036 11.0 6.7 6.1 2.8 4.9 1 696 26.0 22.9 18.0 30.2 71.1 12.1 68.2

Logan village, Quay County ------------- 492 13.4 7.7 3.3 2.6 1.4 204 7.8 6.4 7.8 24.2 73.5 30.8 67.8

Lordsburg city, Hidalgo County----------- 1 593 8.6 5.3 13.9 1.8 12.1 355 23.9 16.9 14.4 24.1 74.7 – 71.6

Los Alamos CDP, Los Alamos County ------ 7 667 6.2 1.4 1.7 1.2 1.0 1 217 15.1 12.2 6.7 62.1 83.0 57.3 82.0

Los Chaves CDP, Valencia County--------- 2 375 15.8 6.9 7.7 6.9 4.5 322 17.1 17.1 17.1 48.3 80.4 38.7 78.0

Los Lunas village, Valencia County -------- 3 611 10.5 6.6 2.7 2.5 1.2 465 13.3 11.6 9.5 28.3 75.6 24.2 71.8

Los Ranchos de Albuquerque village, Bernalillo County ------------------------- 2 666 6.6 3.6 3.8 2.1 1.9 391 16.9 15.6 4.6 44.0 71.0 38.6 69.9

Los Trujillos-Gabaldon CDP, Valencia County - 1 023 17.6 11.1 9.1 7.3 4.9 254 13.8 13.8 5.1 21.1 69.3 16.0 64.3

Loving village, Eddy County ------------- 702 10.4 6.7 4.0 3.1 3.0 152 25.0 23.7 5.3 28.8 68.4 – 66.3

Lovington city, Lea County -------------- 5 164 10.6 7.5 5.1 2.9 3.3 997 19.9 14.1 15.2 22.4 67.3 – 64.4

Magdalena village, Socorro County-------- 523 7.8 5.7 8.6 3.4 6.7 120 33.3 18.3 29.2 26.8 68.9 11.1 67.5

Maxwell village, Colfax County ---------- 146 12.3 7.5 2.1 2.1 .7 49 16.3 14.3 12.2 27.8 71.9 33.3 67.1

Meadow Lake CDP, Valencia County------- 995 18.1 10.7 2.8 2.8 – 93 18.3 18.3 12.9 35.6 70.7 – 66.2

Melrose village, Curry County------------ 352 12.5 5.1 .9 .9 .9 177 13.6 13.6 9.6 50.0 66.9 – 65.3

Mescalero CDP, Otero County------------ 675 13.2 10.5 7.0 5.9 3.4 58 15.5 12.1 12.1 20.2 68.3 12.5 65.0

Mesilla town, Dona Ana County ---------- 1 283 4.0 2.5 10.8 1.1 10.1 271 13.7 6.3 12.9 33.3 75.1 42.9 73.8

Mesita CDP, Cibola County-------------- 413 6.5 3.6 2.7 2.7 – 22 ––– 33.3 62.7 18.2 61.9

Mexican Springs CDP, McKinley County ---- 92 ––––– 7 –––– 38.0 – 38.0

Milan village, Cibola County ------------- 1 137 12.1 8.1 4.3 4.0 2.3 118 12.7 10.2 5.9 23.9 65.3 13.3 62.2

Moriarty city, Torrance County----------- 810 13.2 6.8 3.6 3.6 2.3 184 23.4 23.4 6.5 44.9 76.7 27.6 74.1

Mosquero village ---------------------- 77 10.4 2.6 ––– 46 26.1 26.1 8.7 37.5 68.1 – 64.9

Harding County --------------------- 77 10.4 2.6 ––– 46 26.1 26.1 8.7 37.5 68.1 – 64.9

San Miguel County ------------------ – ––––– ––––––– –

Mountainair town, Torrance County ------- 472 13.3 6.6 1.5 1.5 .4 188 2.7 2.7 1.6 25.4 65.5 42.9 60.4

Nambe CDP, Santa Fe County ----------- 832 9.4 4.4 7.9 2.3 7.2 124 11.3 7.3 10.5 35.9 76.8 31.6 73.9

Naschitti CDP, San Juan County ---------- 338 28.7 4.1 ––– 56 50.0 50.0 – 85.6 66.4 – 71.9

Navajo CDP, McKinley County ----------- 1 082 2.5 2.5 18.1 – 18.1 ––––– 57.0 – 55.5

Newcomb CDP, San Juan County --------- 188 10.1 10.1 10.1 4.8 5.3 52 19.2 19.2 – – 40.2 – 38.0

North Acomita Village CDP, Cibola County -- 192 7.3 5.2 2.6 – 2.6 25 16.0 8.0 16.0 28.6 68.5 – 65.6

North Valley CDP, Bernalillo County ------- 7 888 8.4 4.2 3.7 2.1 2.8 1 439 17.0 15.9 7.1 38.0 78.7 20.7 76.4

Ojo Amarillo CDP, San Juan County ------- 493 5.7 2.0 31.6 8.1 29.8 14 ––– 64.3 74.2 75.0 73.5

Paguate CDP, Cibola County ------------- 275 3.6 3.6 3.6 3.6 3.6 91 19.8 19.8 – – 66.4 – 66.4

Paradise Hills CDP, Bernalillo County------- 3 585 8.0 2.5 5.9 3.4 3.9 585 25.6 20.3 13.5 55.9 77.2 42.3 76.7

Paraje CDP, Cibola County -------------- 325 13.5 7.1 4.0 4.0 – 65 21.5 21.5 21.5 31.8 71.9 – 69.2

Pecos village, San Miguel County --------- 628 8.0 4.3 2.1 2.1 1.3 155 11.0 7.1 3.9 30.0 81.3 – 78.9

Pena Blanca CDP, Sandoval County-------- 201 11.9 11.9 10.0 6.5 7.0 51 21.6 21.6 7.8 – 65.5 – 61.7

Penasco CDP, Taos County -------------- 399 12.5 10.8 2.5 2.5 – 48 25.0 25.0 – 6.0 61.9 – 56.3

Peralta CDP, Valencia County ------------ 2 018 9.4 5.3 .9 .5 .9 298 18.5 18.5 12.8 31.2 77.2 – 73.3

Placitas CDP, Sandoval County ----------- 1 099 4.7 1.8 1.4 1.4 .5 153 ––– 61.5 80.8 – 81.0

Pojoaque CDP, Santa Fe County ---------- 654 4.9 3.2 2.1 1.2 1.5 54 24.1 24.1 13.0 28.1 77.8 25.0 76.0

Portales city, Roosevelt County----------- 6 550 13.7 7.8 4.1 2.6 2.7 1 343 21.1 17.4 11.4 27.9 74.9 8.7 70.0

Questa village, Taos County ------------- 1 027 13.2 8.8 7.5 3.3 5.5 186 15.6 14.0 9.7 21.3 71.2 2.9 66.7

Ranchos De Taos CDP, Taos County ------- 1 078 14.0 7.3 3.7 2.2 1.9 120 28.3 28.3 8.3 39.7 77.1 – 73.5

Raton city, Colfax County -------------- 4 180 8.0 5.1 6.7 2.6 4.6 1 268 23.3 15.2 16.4 31.8 74.1 11.0 72.3

Red River town, Taos County ------------ 289 7.6 1.7 ––– 27 ––– 77.3 92.1 – 91.0

Reserve village, Catron County ----------- 191 3.1 3.1 3.7 – 3.7 55 18.2 18.2 – – 78.9 – 76.4

Rio Communities CDP, Valencia County----- 1 725 12.1 5.9 1.0 1.0 – 905 7.2 7.2 4.6 46.9 76.5 29.4 73.3

Rio Rancho city, Sandoval County--------- 19 319 7.2 3.0 2.1 1.4 1.2 3 789 12.2 8.8 7.1 49.9 82.1 21.6 80.6

Roswell city, Chaves County------------- 25 595 10.8 6.0 5.2 2.9 3.7 6 735 16.2 13.4 9.3 30.1 74.0 14.0 70.9

Roy village, Harding County ------------- 191 7.3 6.3 1.6 1.6 1.6 96 20.8 20.8 9.4 14.3 74.0 – 70.7

Ruidoso village, Lincoln County----------- 2 780 8.8 5.4 6.5 5.5 5.3 717 12.3 11.3 8.1 29.4 78.1 30.1 76.4

Ruidoso Downs village, Lincoln County ----- 554 12.1 4.9 .4 – .4 129 13.2 13.2 1.6 50.7 76.8 – 73.6

Sandia CDP, Bernalillo County------------ 2 166 6.7 1.6 2.0 1.2 1.3 –––– 61.0 66.4 46.2 66.3

Sandia Heights CDP, Bernalillo County ----- 2 633 2.8 1.4 .9 .9 .3 207 18.4 18.4 10.6 41.3 75.9 25.0 75.4

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 33
TIPSII [UPF] GPH535 CENSUS90 71583600 07/ 17/ 92 1:22 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 07/ 13/ 92 18:42:09 TAPE: NONE FRAME: 17

TSF:CENSUS90*92. 07/ 13/ 92 18:42:34 UTF:CENSUS90*93. 07/ 13/ 92 18:42:34 META:CENSUS90S*PH5T7-835. 07/ 13/ 92 18:43:35

Table 8. Disability Status: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Civilian noninstitutionalized persons 16 to 64 years

Percent with a work disabilityPercent with a mobility or self-care

limitation

Civilian noninstitutionalized persons 65 years and over

Percent with a mobility or self-care

limitation

Percent in labor force of civilian noninstitutionalized persons 16 to 64 years withm

Total Total

Prevented

from

working Total

Mobility limitationSelf-care

limitation Total Total

Mobility limitationSelf-care

limitation

A work disabilityNo work disabilityA mobility limitationNo mobility limitation

PLACE AND COUNTY SUBDIVISIONm Con.

San Felipe Pueblo CDP, Sandoval County --- 924 8.0 4.9 4.5 2.4 4.0 67 23.9 17.9 17.9 24.3 61.4 – 59.9

San Ildefonso Pueblo CDP, Santa Fe County - 236 – – 1.7 – 1.7 50 6.0 6.0 6.0 – 67.4 – 67.4

San Jon village, Quay County------------ 167 13.8 4.8 5.4 5.4 4.2 30 6.7 6.7 6.7 52.2 74.3 – 75.3

San Juan CDP, Rio Arriba County --------- 249 4.8 4.8 6.8 3.2 6.8 68 23.5 16.2 23.5 – 67.5 – 66.4

Sanostee CDP, San Juan County---------- 418 10.8 5.5 82.1 7.2 82.1 23 100.0 – 100.0 15.6 42.1 23.3 40.5

Santa Ana Pueblo CDP, Sandoval County --- 295 4.7 1.4 1.4 – 1.4 34 20.6 11.8 14.7 71.4 79.0 – 78.6

Santa Clara Pueblo CDP, Rio Arriba County-- 705 8.9 5.2 6.4 3.1 4.4 92 29.3 26.1 19.6 36.5 65.0 18.2 63.8

Santa Cruz CDP, Santa Fe County -------- 1 615 9.3 6.7 4.3 3.6 1.8 80 52.5 52.5 15.0 21.2 71.0 27.6 67.8

Santa Fe city, Santa Fe County ---------- 37 083 6.4 2.8 3.9 1.6 3.1 6 737 21.7 17.6 11.9 46.8 81.5 27.6 80.1

Santa Rosa city, Guadalupe County ------- 1 287 8.2 5.8 4.5 3.8 1.9 304 20.4 19.7 6.3 23.8 68.8 16.3 67.0

Santo Domingo Pueblo CDP, Sandoval

County ---------------------------- 1 559 9.0 5.3 5.7 4.3 2.6 130 7.7 7.7 – 5.0 56.7 10.4 54.0

San Ysidro village, Sandoval County------- 120 8.3 5.0 3.3 3.3 – 15 53.3 53.3 – 40.0 80.9 – 80.2

Seama CDP, Cibola County-------------- 214 5.6 3.7 .5 .5 – 48 35.4 35.4 35.4 33.3 61.4 – 60.1

Shiprock CDP, San Juan County ---------- 4 395 10.7 8.5 17.7 5.5 14.8 344 11.0 9.6 6.1 15.3 56.1 19.2 53.6

Silver City town, Grant County----------- 6 257 9.1 4.9 2.6 1.7 1.8 1 512 15.1 15.1 5.7 37.0 71.0 26.4 68.6

Skyline-Ganipa CDP, Cibola County -------- 540 6.1 3.9 3.5 3.0 1.3 37 32.4 24.3 21.6 27.3 58.8 – 58.6

Socorro city, Socorro County ------------ 5 183 9.7 5.0 2.8 1.2 2.3 858 18.8 17.5 13.3 35.9 75.8 28.1 72.5

South Valley CDP, Bernalillo County ------- 21 924 11.9 7.6 6.2 3.4 4.3 3 116 24.5 20.7 11.4 29.0 73.5 16.4 70.0

Springer town, Colfax County------------ 713 12.3 7.3 3.1 2.5 1.5 210 17.1 17.1 7.1 18.2 65.4 – 61.2

Sunland Park city, Dona Ana County ------ 4 846 7.6 5.2 2.9 2.7 .9 343 24.2 24.2 13.1 27.0 55.5 20.3 54.2

Taos town, Taos County --------------- 2 479 8.0 4.7 3.1 2.3 2.0 570 19.8 19.3 12.6 35.9 77.5 17.9 75.4

Taos Pueblo CDP, Taos County ----------- 729 8.8 4.3 3.0 1.5 1.9 144 20.8 18.1 14.6 31.3 69.9 36.4 67.0

Tatum town, Lea County --------------- 490 8.4 6.3 3.1 1.4 2.4 81 29.6 23.5 22.2 14.6 69.0 – 65.4

Tesuque CDP, Santa Fe County----------- 1 075 5.5 1.8 .3 .3 – 161 26.1 26.1 21.1 64.4 75.0 100.0 74.3

Texico city, Curry County --------------- 575 20.7 15.0 1.6 1.6 .9 92 31.5 31.5 8.7 25.2 74.6 22.2 65.0

Tijeras village, Bernalillo County ---------- 218 5.5 .9 1.8 1.8 1.8 5 ––– 58.3 79.6 100.0 78.0

Tohatchi CDP, McKinley County ---------- 464 3.9 – 52.2 – 52.2 39 100.0 – 100.0 100.0 90.8 – 91.2

Tome-Adelino CDP, Valencia County ------- 1 011 11.6 6.6 2.9 1.1 2.3 122 23.8 23.8 5.7 30.8 72.4 54.5 67.7

Truth or Consequences city, Sierra County -- 2 849 18.2 12.4 7.9 6.3 3.9 2 037 16.2 11.9 9.8 24.1 72.1 14.5 66.6

Tucumcari city, Quay County ------------ 3 968 15.8 9.0 4.8 3.6 3.2 1 035 22.5 18.5 11.5 34.7 76.6 11.3 72.2

Tularosa village, Otero County ----------- 1 506 12.7 6.4 2.2 1.9 1.7 391 11.3 11.3 3.6 35.6 72.6 – 69.3

University Park CDP, Dona Ana County----- 3 884 1.2 .3 1.5 .6 1.5 –––– 12.5 44.0 26.1 43.7

Vadito CDP, Taos County --------------- 188 16.0 6.9 2.1 2.1 2.1 29 17.2 17.2 6.9 33.3 53.2 50.0 50.0

Valencia CDP, Valencia County ----------- 2 507 8.7 3.2 3.5 2.0 1.9 284 19.4 18.0 14.8 52.3 74.2 14.3 73.5

Vaughn town, Guadalupe County --------- 400 20.0 14.3 3.0 2.3 .8 98 14.3 14.3 2.0 15.0 70.9 – 61.1

Virden village, Hidalgo County ----------- 57 ––––– 24 –––– 82.5 – 82.5

Wagon Mound village, Mora County ------ 188 6.9 5.3 1.6 1.6 .5 55 29.1 25.5 20.0 15.4 70.3 – 67.6

White Rock CDP, Los Alamos County ------ 4 266 4.2 .8 1.9 .7 1.6 369 6.8 6.8 – 65.7 79.2 37.9 78.9

White Sands CDP, Dona Ana County ------ 908 10.0 3.9 2.2 1.1 1.7 15 ––– 39.6 63.3 – 61.6

Willard village, Torrance County ---------- 119 12.6 4.2 4.2 4.2 4.2 22 18.2 18.2 18.2 66.7 72.1 60.0 71.9

Williamsburg village, Sierra County-------- 194 10.3 6.2 ––– 183 10.4 10.4 8.7 15.0 69.5 – 63.9

Zia Pueblo CDP, Sandoval County--------- 383 4.7 1.3 1.8 – 1.8 41 36.6 36.6 31.7 72.2 69.0 – 69.2

Zuni Pueblo CDP, McKinley County -------- 3 662 6.1 2.6 2.2 1.9 1.2 366 22.7 21.0 16.4 42.0 71.7 15.7 70.9

34 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 35

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 9. Income and Poverty Status in 1989: 1990

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Median income in 1989 (dollars) Persons for whom poverty status is determined

Income in 1989 below poverty level

All ages Related children

Under 18 years 5 to 17 years

Persons 65 years and

over

Families with income in 1989 below poverty

level

Per capita

income in 1989

(dollars)

Households Families

Nonfamily

households Total Number Percent Number Percent Number Percent Number Percent Number

Percent of all

families

The State----------------- 11 246 24 087 27 623 14 942 1 484 339 305 934 20.6 120 139 27.5 82 713 26.3 25 839 16.5 65 042 16.5

Bernalillo County ------------------- 13 594 27 382 32 652 17 387 472 908 68 845 14.6 24 065 19.5 16 235 18.6 5 177 10.7 13 724 10.9

Albuquerque division--------------- 13 630 27 275 32 601 17 341 457 142 66 248 14.5 23 111 19.5 15 632 18.7 4 987 10.5 13 157 10.9

Albuquerque city (pt.) ----------- 14 013 27 555 33 746 17 560 378 521 52 903 14.0 17 623 18.7 11 720 17.7 3 975 9.7 10 291 10.3

Corrales village (pt.) ------------ 33 922 55 995 59 697 29 063 549 63 11.5 35 32.1 26 33.8 56.3 10 5.7

Los Ranchos de Albuquerque village - 23 163 37 167 44 079 16 500 3 940 426 10.8 134 13.3 107 13.3 68 17.4 103 9.5

North Valley CDP --------------- 10 932 24 106 27 700 14 009 12 348 1 623 13.1 532 16.1 361 15.1 213 14.8 335 10.1

Paradise Hills CDP -------------- 14 861 40 344 42 438 22 073 5 488 254 4.6 97 6.6 85 7.3 – – 52 3.2

Sandia CDP ------------------- 7 673 21 835 21 722 15 833 5 915 476 8.0 223 9.2 91 6.8 – – 110 6.4

Sandia Heights CDP ------------- 35 602 69 130 75 629 43 702 3 519 81 2.3 81.0 –– –– 15 1.3

South Valley CDP --------------- 8 051 20 949 22 774 10 651 35 391 8 812 24.9 3 676 32.4 2 707 32.8 670 21.5 1 892 21.0

Bernalillo East division ------------- 14 298 34 883 37 280 22 616 12 416 1 336 10.8 481 13.5 301 11.7 80 10.2 288 8.0

Tijeras village ------------------ 9 585 30 536 35 156 21 250 316 20 6.3 32.8 33.5 – – 4 5.8

Bernalillo West division------------- 4 163 11 016 12 969 5 000– 1 188 617 51.9 258 53.0 146 44.2 20 69.0 128 51.2

Albuquerque city (pt.) ----------- – – – – – – – – – –– –– – – Isleta Pueblo division -------------- 6 979 19 180 21 618 6 318 2 162 644 29.8 215 29.5 156 29.3 90 43.9 151 28.0

Isleta Pueblo CDP (pt.) ----------- 6 485 17 050 20 682 5 667 1 343 434 32.3 147 32.4 113 34.6 69 44.8 102 30.5

Catron County --------------------- 8 537 18 460 22 278 7 178 2 563 657 25.6 188 27.3 137 25.9 147 37.6 153 19.5

Quemado division ----------------- 7 923 19 474 20 000 15 500 914 242 26.5 89 34.6 64 33.3 30 37.0 54 17.8

Reserve division ------------------ 8 877 17 585 25 154 6 775 1 649 415 25.2 99 23.0 73 21.7 117 37.7 99 20.6

Reserve village ----------------- 9 258 25 703 26 133 6 394 317 71 22.4 44.5 46.8 42 76.4 26 26.8

Chaves County --------------------- 10 550 21 764 24 889 12 312 56 447 12 621 22.4 5 205 30.6 3 537 28.7 1 197 14.9 2 820 18.3

Dexter division ------------------- 7 917 19 635 22 617 7 230 2 038 623 30.6 289 41.4 214 39.6 56 28.0 149 26.0

Dexter town------------------- 7 150 19 125 21 094 10 750 898 239 26.6 118 36.4 76 31.5 35 33.3 61 25.1

Hagerman division ---------------- 6 956 15 362 18 312 7 286 2 085 705 33.8 337 45.9 236 42.8 47 20.3 169 29.5

Hagerman town ---------------- 6 505 13 634 14 853 6 947 978 332 33.9 152 45.6 98 40.7 20 17.1 83 31.4

Lake Arthur town --------------- 5 922 16 250 20 089 5 881 319 109 34.2 45 36.9 37 41.6 16 43.2 27 31.8

Northeast Chaves division----------- 17 672 33 214 33 214 – 116 – – – – –– –– – –

Northwest Chaves division ---------- 9 403 22 409 25 660 13 611 2 363 499 21.1 227 31.0 184 31.9 21 10.3 103 15.4

Roswell city (pt.) --------------- 13 091 48 750 48 750 – 22 – – – – –– –– – –

Roswell division ------------------ 11 169 22 060 25 558 12 837 44 056 9 092 20.6 3 663 28.2 2 452 26.3 973 14.0 2 070 17.2

Roswell city (pt.) --------------- 10 972 21 867 25 336 12 535 41 863 8 774 21.0 3 529 28.5 2 379 26.7 941 14.2 1 999 17.5

Southeast Chaves division----------- 10 872 24 107 26 544 14 079 1 380 306 22.2 140 29.5 70 21.0 22 21.2 68 17.1

Southwest Chaves division ---------- 7 613 19 560 21 528 7 386 4 409 1 396 31.7 549 40.5 381 38.2 78 24.1 261 24.5

Roswell city (pt.) --------------- 7 025 21 650 23 659 10 313 1 537 612 39.8 226 51.1 160 46.6 21 23.3 86 25.9

Cibola County---------------------- 6 803 16 848 18 716 9 345 23 064 7 753 33.6 3 262 40.6 2 240 36.6 524 27.1 1 714 29.9

Fence Lake division---------------- 11 640 26 111 26 806 5 000– 87 18 20.7 9 56.3 9 56.3 5 20.0 26.1

Grants division ------------------- 7 205 17 387 19 510 10 203 16 940 5 308 31.3 2 220 38.3 1 503 34.0 285 20.8 1 212 28.0

Acomita Lake CDP -------------- 4 463 16 563 16 875 6 667 269 110 40.9 49 45.8 41 55.4 8 30.8 21 39.6

Grants city-------------------- 8 093 18 427 20 914 10 808 8 328 2 279 27.4 955 34.6 610 29.0 96 13.9 563 25.3

Milan village ------------------ 6 324 15 970 17 217 10 326 1 900 674 35.5 320 44.9 218 42.3 26 22.0 145 31.0

North Acomita Village CDP -------- 5 433 14 821 16 667 5 000– 308 102 33.1 43 43.9 26 35.6 4 16.0 20 28.6

Skyline-Ganipa CDP-------------- 3 926 14 338 12 857 5 854 948 498 52.5 232 57.1 171 52.6 11 29.7 103 54.8

Laguna division------------------- 6 205 17 222 18 587 9 081 4 187 1 300 31.0 547 37.5 437 37.4 147 35.4 268 27.6

Laguna CDP ------------------- 7 443 20 882 18 750 22 159 449 98 21.8 29 21.6 8 10.3 22 40.7 28 26.2

Mesita CDP ------------------- 4 749 14 922 15 139 12 321 653 297 45.5 129 51.8 95 48.5 – – 56 38.4

Paguate CDP ------------------ 3 815 11 053 12 237 5 000– 543 309 56.9 116 65.5 106 90.6 59 64.8 70 51.5

Paraje CDP -------------------- 6 815 20 333 20 750 9 219 532 79 14.8 47 30.3 47 31.8 – – 14 11.9

Seama CDP ------------------- 5 937 22 708 22 000 5 000– 370 76 20.5 36 31.3 20 23.8 14 29.2 12 15.4

Zuni-Ramah Navajo division --------- 4 106 7 921 9 946 5 000– 1 850 1 127 60.9 486 63.4 291 57.4 87 73.7 232 59.3

Colfax County --------------------- 10 076 20 800 24 024 11 415 12 487 2 321 18.6 876 25.3 535 20.7 358 18.1 561 15.8

Cimarron division ----------------- 10 354 21 522 22 236 14 398 1 980 333 16.8 113 21.1 63 16.0 49 23.4 69 12.1 Angel Fire village --------------- 7 509 18 333 11 250 29 688 107 40 37.4 19 43.2 9 29.0 – – 9 27.3

Cimarron village ---------------- 8 359 17 404 19 342 8 959 754 147 19.5 50 22.5 32 20.1 40 30.8 27 12.6

Eagle Nest village --------------- 11 653 23 750 27 188 8 941 187 8 4.3 4 10.8 4 13.3 – – 4 7.3

Raton division ------------------- 10 075 21 452 25 367 11 565 8 315 1 552 18.7 615 25.5 377 21.0 234 16.9 378 16.3

Maxwell village (pt.) ------------ – ––– – – – – – –– –– – – Raton city -------------------- 9 664 20 246 24 248 10 977 7 259 1 488 20.5 594 28.7 368 23.9 225 17.7 361 17.8

Springer division------------------ 9 853 17 138 20 814 8 338 2 192 436 19.9 148 28.6 95 24.4 75 19.3 114 17.0

Maxwell village (pt.) ------------ 6 865 12 778 17 813 5 000– 257 41 16.0 68.7 – – 11 22.4 9 11.7

Springer town ----------------- 9 773 16 182 20 174 7 642 1 216 321 26.4 113 34.9 74 30.1 52 24.8 87 24.9

Curry County ---------------------- 9 843 21 303 24 125 12 696 41 054 7 872 19.2 3 486 27.5 2 319 26.0 704 16.2 1 729 15.0

Broadview division ---------------- 10 402 25 357 26 607 6 500 411 94 22.9 41 42.3 29 41.4 11 13.8 21 15.1

Grady village ------------------ 11 305 30 417 30 417 – 107 18 16.8 11 32.4 6 24.0 – – 3 9.1

Clovis division ------------------- 9 836 21 286 24 066 12 971 39 517 7 617 19.3 3 384 27.6 2 245 26.0 670 16.6 1 673 15.2

Cannon AFB CDP --------------- 7 577 20 292 20 292 – 2 605 200 7.7 106 9.5 39 6.6 – – 45 6.1

Clovis city -------------------- 10 002 21 222 24 567 13 420 30 568 6 551 21.4 2 915 32.6 1 941 30.3 623 17.3 1 456 17.1

Texico city -------------------- 6 250 14 600 17 250 6 828 955 286 29.9 125 38.2 91 35.1 22 23.9 56 23.5

Melrose division ------------------ 9 883 20 000 24 338 7 498 1 126 161 14.3 61 18.3 45 20.9 23 10.0 35 10.4

Melrose village----------------- 8 721 15 341 21 687 7 252 651 92 14.1 29 18.5 13 11.4 23 13.0 19 9.6

DeBaca County--------------------- 8 896 15 686 19 464 8 920 2 201 483 21.9 157 27.7 119 28.0 102 21.7 124 19.0

East De Baca division -------------- 8 977 15 638 19 487 8 682 1 976 438 22.2 139 28.1 101 27.7 93 21.5 115 19.6

Fort Sumner village ------------- 7 775 12 468 17 803 7 841 1 221 299 24.5 78 27.3 49 24.7 83 27.0 79 22.4

West De Baca division ------------- 8 170 16 250 19 286 10 556 225 45 20.0 18 25.0 18 29.5 9 24.3 9 14.1

Dona Ana County------------------- 9 374 21 859 24 720 13 112 131 099 34 676 26.5 13 972 34.5 9 966 34.4 1 853 15.8 6 918 20.7

Anthony division------------------ 5 980 18 081 18 506 13 552 17 542 6 262 35.7 3 120 44.4 2 242 44.4 242 25.1 1 257 30.0

Anthony CDP ------------------ 4 350 13 274 13 967 6 107 5 096 2 416 47.4 1 211 57.6 855 57.5 96 37.1 491 41.7

Chaparral CDP ----------------- 7 228 21 528 21 849 14 750 3 008 798 26.5 388 33.7 288 32.5 20 12.3 163 21.9

Dona Ana-Hill division-------------- 10 022 26 232 27 454 17 886 15 378 3 115 20.3 1 396 27.6 1 013 27.8 116 11.1 673 16.4

Dona Ana CDP ----------------- 5 895 15 926 17 531 8 343 881 215 24.4 73 26.3 43 22.3 12 16.9 42 19.7

Las Cruces city (pt.)------------- 11 169 29 484 30 636 25 000 3 184 448 14.1 201 20.7 167 25.7 24 8.0 96 11.0

Fairacres division ----------------- 12 740 27 446 29 390 18 309 3 292 400 12.2 148 16.7 113 17.4 40 9.5 101 10.5

Mesilla town (pt.) -------------- – – – – – – – – – –– –– – –

Hatch division-------------------- 5 802 13 750 15 497 6 323 3 845 1 687 43.9 770 55.5 555 55.3 127 27.9 328 34.5

Hatch village ------------------ 5 864 12 975 14 527 8 333 1 158 465 40.2 207 52.0 137 46.9 50 30.5 96 34.5

Las Cruces division ---------------- 10 728 22 980 28 011 13 077 72 864 17 074 23.4 5 758 29.4 3 938 28.3 967 12.7 3 264 17.4

Las Cruces city (pt.)------------- 11 175 23 258 29 022 13 085 58 199 13 424 23.1 4 547 29.8 3 210 29.3 741 11.4 2 520 17.0

Mesilla town (pt.) -------------- 13 989 25 650 33 676 11 845 1 972 235 11.9 47 10.0 26 7.4 58 21.4 53 10.1

University Park CDP ------------- 3 048 10 262 9 300 13 790 2 024 1 326 65.5 447 70.7 244 70.9 – – 277 55.1

South Dona Ana division ----------- 6 187 17 660 18 180 11 524 15 868 6 033 38.0 2 724 48.4 2 067 49.2 361 29.3 1 266 33.1

Sunland Park city --------------- 3 423 12 338 12 434 8 968 8 164 4 325 53.0 2 030 61.1 1 593 63.2 191 55.7 885 50.6

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 35
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 36

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 9. Income and Poverty Status in 1989: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Median income in 1989 (dollars) Persons for whom poverty status is determined

Income in 1989 below poverty level

All ages Related children

Under 18 years 5 to 17 years

Persons 65 years and

over

Families with income in 1989 below poverty

level

Per capita

income in 1989

(dollars)

Households Families

Nonfamily

households Total Number Percent Number Percent Number Percent Number Percent Number

Percent of all

families

Dona Ana CountymCon. White Sands division -------------- 8 504 25 342 25 551 17 143 2 310 105 4.5 56 6.2 38 7.1 – – 29 4.3

White Sands CDP --------------- 8 504 25 342 25 551 17 143 2 310 105 4.5 56 6.2 38 7.1 – – 29 4.3

Eddy County----------------------- 10 490 23 418 27 310 10 835 47 729 9 755 20.4 3 903 27.3 2 790 26.1 1 281 18.4 2 162 16.2

Artesia division------------------- 10 763 22 374 27 030 7 996 14 346 3 230 22.5 1 316 29.9 1 004 30.9 512 25.7 720 17.4

Artesia city ------------------- 10 474 22 684 27 789 8 040 10 449 2 234 21.4 912 29.1 697 30.4 399 25.4 464 15.6

Hope village ------------------- 8 111 15 781 17 188 10 625 97 15 15.5 – – –– 12 32.4 6 18.8

Carlsbad division ----------------- 10 519 24 075 27 503 12 076 31 189 6 063 19.4 2 408 26.3 1 665 24.2 732 15.5 1 347 15.7

Carlsbad city ------------------ 10 508 22 605 26 512 11 760 24 267 5 018 20.7 1 998 28.9 1 371 26.6 637 15.5 1 134 16.9

Carlsbad North CDP ------------- 17 334 39 808 45 625 27 639 1 210 44 3.6 – – –– 16 8.1 82.2

Loco Hills division ----------------- 9 923 30 417 32 868 26 964 339 24 7.1 14 10.8 14 12.1 – – 4 4.0

Loving division ------------------- 7 953 19 331 24 417 5 130 1 855 438 23.6 165 26.8 107 22.7 37 18.1 91 18.7

Loving village ------------------ 6 564 15 893 18 611 6 205 1 243 369 29.7 156 37.0 103 34.0 33 21.7 77 24.4

Grant County ---------------------- 9 381 21 350 24 363 13 212 26 976 5 731 21.2 2 453 29.5 1 715 27.4 524 14.4 1 329 17.7

Bayard-Santa Rita division ---------- 7 177 16 918 19 861 10 000 3 492 1 117 32.0 482 44.8 380 45.6 94 19.9 234 24.8

Bayard city ------------------- 7 140 16 154 19 688 10 764 2 432 763 31.4 335 44.0 267 44.6 94 29.2 175 25.9

Hurley town (pt.)--------------- – – – – – – – – – –– –– – –

Central division------------------- 7 371 17 409 19 273 11 763 2 948 786 26.7 403 38.4 286 37.2 45 12.4 172 22.7

Central village ----------------- 6 605 15 616 17 172 8 583 1 829 515 28.2 255 39.9 184 39.8 36 14.6 109 22.2

Hurley division ------------------- 8 917 20 915 23 000 10 529 1 888 162 8.6 60 11.5 42 10.0 24 6.4 33 6.1

Hurley town (pt.)--------------- 8 200 20 472 22 226 9 784 1 534 145 9.5 60 12.9 42 11.3 20 6.9 33 7.6

Mimbres division ----------------- 9 741 19 000 20 859 13 667 1 060 181 17.1 60 24.8 47 27.8 52 25.2 23 7.8

Pinos Altos division --------------- 12 403 21 122 27 604 15 341 939 196 20.9 68 26.1 45 24.2 – – 49 18.1

Silver City division ---------------- 10 046 23 205 26 343 14 519 14 847 3 049 20.5 1 304 28.1 849 24.4 260 13.1 748 17.8

Silver City town ---------------- 9 053 19 413 23 226 13 281 10 310 2 477 24.0 1 063 33.4 708 29.7 199 13.2 590 20.6

Tyrone division ------------------- 10 276 28 571 31 307 13 523 1 802 240 13.3 76 13.9 66 16.3 49 35.5 70 13.4

Guadalupe County ------------------ 6 529 13 350 15 505 6 767 4 132 1 589 38.5 576 46.0 434 46.2 187 33.0 425 36.6

Dilia division--------------------- 4 295 11 979 12 738 9 082 541 269 49.7 79 47.3 58 42.0 28 44.4 71 48.0

Santa Rosa division --------------- 6 907 14 475 16 373 7 013 2 860 1 045 36.5 406 45.4 300 47.3 135 35.2 278 34.9

Santa Rosa city ---------------- 6 719 13 955 16 544 6 881 2 233 798 35.7 321 46.1 229 47.5 104 34.2 208 34.0

Vaughn division ------------------ 6 695 11 389 15 147 5 836 731 275 37.6 91 47.4 76 45.5 24 20.0 76 35.2

Vaughn town ------------------ 7 098 11 705 16 477 5 647 633 234 37.0 71 43.6 63 43.4 22 22.4 66 35.3

Harding County -------------------- 9 731 19 020 22 865 10 089 987 151 15.3 62 22.0 46 21.3 18 8.7 32 11.4

North Harding division ------------- 9 062 18 750 22 422 10 089 816 117 14.3 48 20.7 34 19.7 16 8.6 23 10.2

Mosquero village (pt.) ----------- 10 287 17 000 24 750 10 938 158 22 13.9 5 11.9 37.5 5 10.9 6 14.0

Roy village -------------------- 8 709 18 906 20 714 7 495 380 38 10.0 12 12.1 68.8 88.3 87.1

South Harding division ------------- 12 924 20 833 26 250 11 250 171 34 19.9 14 28.0 12 27.9 2 10.0 9 16.1

Hidalgo County--------------------- 10 092 23 504 27 090 12 526 5 843 1 212 20.7 499 25.5 367 25.4 120 20.0 295 18.1

North Hidalgo division ------------- 8 794 18 662 21 163 11 222 4 544 1 172 25.8 490 31.8 358 31.4 108 19.1 284 22.8

Lordsburg city ----------------- 7 077 16 057 18 105 11 207 2 807 1 004 35.8 452 48.1 328 46.6 85 23.9 238 32.1

Virden village ------------------ 7 635 17 361 23 750 12 321 167 – – – – –– –– – –

South Hidalgo division ------------- 14 747 38 015 38 350 33 618 1 299 40 3.1 92.2 92.9 12 34.3 11 2.9

Lea County------------------------ 10 025 23 352 26 620 11 439 54 926 12 309 22.4 5 340 29.5 3 701 27.5 1 144 20.1 2 806 18.5

Eunice division ------------------- 9 447 22 892 26 451 9 061 3 018 567 18.8 276 26.4 240 29.7 59 16.7 131 15.8

Eunice city -------------------- 9 713 24 142 27 117 10 000 2 731 481 17.6 231 23.9 201 26.5 59 20.8 116 15.3

Hobbs division ------------------- 10 457 24 061 27 449 11 594 36 288 8 062 22.2 3 466 29.2 2 324 26.7 708 19.7 1 829 18.3

Hobbs city -------------------- 10 230 22 807 25 757 11 872 28 654 7 106 24.8 3 154 33.3 2 153 31.0 623 20.5 1 610 20.9

Jal division ---------------------- 9 500 21 827 25 662 12 900 2 328 547 23.5 242 32.3 183 32.3 72 25.8 128 19.6

Jal city----------------------- 9 542 22 015 25 968 12 550 2 151 492 22.9 223 31.9 170 31.7 60 23.9 114 18.9

Lovington division----------------- 8 876 22 465 24 971 11 547 11 866 2 790 23.5 1 241 30.6 849 27.6 240 19.1 646 19.7

Lovington city------------------ 8 579 21 433 23 590 11 695 9 083 2 429 26.7 1 088 34.6 715 30.8 200 20.1 554 22.5

Tatum division ------------------- 10 713 21 563 23 590 8 112 1 426 343 24.1 115 28.2 105 35.2 65 32.3 72 16.9

Tatum town ------------------- 9 371 23 021 25 417 7 905 768 173 22.5 66 26.9 56 28.7 28 34.6 32 14.6

Lincoln County --------------------- 10 701 19 489 23 988 10 368 11 839 2 384 20.1 767 25.2 603 26.8 353 18.9 558 16.2

Capitan division ------------------ 10 532 21 223 26 771 12 237 2 007 265 13.2 86 16.9 73 17.6 42 14.0 48 8.7

Capitan village ----------------- 10 696 17 379 25 469 11 964 825 106 12.8 25 14.5 25 17.7 18 13.2 21 9.1

Ruidoso village (pt.)------------- – – – – – – – – – –– –– – –

Carrizozo division ----------------- 9 478 17 097 23 226 8 030 1 186 271 22.8 67 27.5 45 27.8 68 24.9 65 18.4

Carrizozo town ---------------- 9 037 16 094 23 190 7 709 1 000 256 25.6 64 30.5 42 28.2 68 27.0 60 20.7

Corona division------------------- 7 953 17 946 18 929 8 568 535 148 27.7 52 31.5 31 26.5 27 42.9 38 25.7

Corona village ----------------- 8 409 18 958 20 625 12 813 233 50 21.5 12 18.2 48.3 22 62.9 19 28.8

Hondo division ------------------- 6 631 11 937 13 226 9 258 914 287 31.4 82 31.3 76 33.6 41 27.0 82 31.8

Ruidoso division ------------------ 11 672 20 660 25 305 10 239 7 197 1 413 19.6 480 25.8 378 28.4 175 16.2 325 15.3

Ruidoso village (pt.)------------- 11 351 21 224 26 533 10 719 4 502 877 19.5 264 24.0 228 28.3 134 18.7 206 15.2

Ruidoso Downs village ----------- 6 648 16 078 18 875 7 298 917 211 23.0 73 28.5 56 32.4 24 18.6 38 15.3

Los Alamos County ----------------- 22 900 54 801 60 798 32 042 18 029 433 2.4 130 2.8 121 3.4 45 2.8 79 1.5

Los Alamos division --------------- 22 399 47 988 56 219 30 953 11 753 280 2.4 57 2.0 57 2.6 36 2.9 57 1.7

Los Alamos CDP---------------- 22 740 48 330 57 076 31 030 11 343 263 2.3 52 1.9 52 2.5 36 3.0 51 1.5

White Rock division --------------- 23 845 63 640 66 134 41 500 6 276 153 2.4 73 4.2 64 4.8 92.4 22 1.1

White Rock CDP ---------------- 24 038 63 871 66 481 41 500 6 183 153 2.5 73 4.3 64 4.8 92.4 22 1.2

Luna County----------------------- 8 116 15 684 17 374 9 475 17 947 5 645 31.5 2 358 45.3 1 767 45.3 668 18.9 1 264 24.9

Deming North division ------------- 7 991 15 752 17 287 10 186 14 161 4 578 32.3 1 967 46.2 1 463 45.9 485 18.0 1 008 25.7

Deming city (pt.) --------------- 7 801 15 570 16 994 10 060 10 843 3 675 33.9 1 641 48.7 1 219 48.6 380 18.5 778 26.4

Deming South division ------------- 8 583 15 484 17 695 7 598 3 786 1 067 28.2 391 41.0 304 42.6 183 21.8 256 22.3

Columbus village --------------- 7 352 10 781 12 417 7 443 619 284 45.9 121 64.4 93 65.5 42 26.4 60 37.7

Deming city (pt.) --------------- – – – – – – – – – –– –– – –

McKinley County ------------------- 6 628 17 468 17 861 10 738 60 069 26 118 43.5 11 636 50.4 7 724 49.5 1 533 41.8 5 125 38.0

Crownpoint division --------------- 5 107 14 360 15 579 5 000– 5 144 2 464 47.9 1 219 53.4 765 61.1 94 41.6 463 45.2

Crownpoint CDP ---------------- 6 577 25 000 20 855 22 614 1 951 583 29.9 340 37.7 187 39.0 19 25.3 111 27.1

Gallup division ------------------- 10 366 25 403 27 998 16 219 20 696 5 086 24.6 2 254 31.9 1 501 30.2 233 17.3 1 075 20.4

Gallup city (pt.) ---------------- 10 601 26 668 29 496 16 467 18 721 4 262 22.8 1 873 29.7 1 244 28.0 197 16.0 907 19.1

Red Rock division ----------------- 4 503 10 868 11 647 5 000– 17 815 10 085 56.6 4 249 61.0 2 792 59.5 719 56.3 2 008 52.7

Gallup city (pt.) ---------------- 3 262 13 875 6 785 – 109 61 56.0 45 64.3 24 64.9 – – 16 69.6

Reservation division --------------- 4 775 13 214 12 543 10 524 9 003 4 739 52.6 2 295 57.5 1 550 56.3 284 65.6 900 47.3

Mexican Springs CDP ------------ 2 918 16 250 15 000 16 250 190 148 77.9 77 78.6 56 80.0 – – 21 75.0

Navajo CDP ------------------- 5 258 19 508 18 283 28 268 1 927 806 41.8 509 54.8 389 57.0 – – 120 31.4

Tohatchi CDP ------------------ 14 896 33 800 37 946 31 830 705 47 6.7 – – –– 39 100.0 19 10.1

Zuni division--------------------- 4 492 16 579 15 918 19 167 7 411 3 744 50.5 1 619 58.0 1 116 57.3 203 52.6 679 45.9

Black Rock CDP ---------------- 4 933 12 500 8 594 18 393 815 535 65.6 283 73.5 182 69.2 6 100.0 101 60.8

Zuni Pueblo CDP---------------- 4 533 17 232 16 677 22 500 5 877 2 862 48.7 1 141 55.3 805 55.4 187 51.1 511 43.9

36 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 37

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 9. Income and Poverty Status in 1989: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Median income in 1989 (dollars) Persons for whom poverty status is determined

Income in 1989 below poverty level

All ages Related children

Under 18 years 5 to 17 years

Persons 65 years and

over

Families with income in 1989 below poverty

level

Per capita

income in 1989

(dollars)

Households Families

Nonfamily

households Total Number Percent Number Percent Number Percent Number Percent Number

Percent of all

families

Mora County ---------------------- 7 021 12 993 17 853 6 581 4 257 1 540 36.2 589 47.4 404 41.8 166 26.3 357 32.0

Mora division -------------------- 6 173 12 192 17 132 6 765 3 205 1 212 37.8 482 50.4 314 42.3 118 25.2 287 34.3

Wagon Mound division ------------- 9 605 18 500 21 420 6 126 1 052 328 31.2 107 37.4 90 40.2 48 29.8 70 24.9

Wagon Mound village------------ 7 980 12 031 22 188 5 000– 339 124 36.6 45 40.5 33 37.1 27 49.1 28 29.8

Otero County ---------------------- 10 053 22 624 25 409 15 643 50 208 8 404 16.7 3 523 22.5 2 269 21.0 550 12.5 1 917 13.7

Alamogordo division --------------- 10 550 23 928 26 694 16 452 38 022 4 835 12.7 1 931 16.6 1 142 14.5 380 11.7 1 159 10.8

Alamogordo city---------------- 11 255 24 579 27 875 16 660 27 155 3 671 13.5 1 438 18.7 937 17.4 291 10.7 880 11.4

Boles Acres CDP---------------- 11 082 26 331 30 321 11 250 1 373 165 12.0 45 12.6 26 10.9 29 17.0 47 11.4

Holloman AFB CDP -------------- 7 163 20 307 20 483 11 250 4 980 415 8.3 233 10.5 65 5.0 – – 84 6.3

La Luz CDP (pt.) --------------- 10 564 23 306 26 389 16 307 1 635 170 10.4 65 11.7 53 12.4 12 11.7 37 8.2

Mescalero division ---------------- 4 603 14 634 14 068 5 000– 2 649 1 283 48.4 674 56.6 462 56.1 20 24.7 262 45.3

Mescalero CDP ----------------- 5 391 16 118 14 556 5 000– 1 152 495 43.0 247 54.0 164 52.7 10 17.2 99 38.8

Southeast Otero division------------ 10 613 22 336 25 742 14 265 4 793 1 126 23.5 453 31.6 326 30.5 83 16.7 253 18.1

Cloudcroft village --------------- 12 236 22 407 27 500 18 214 544 78 14.3 25 18.7 20 20.0 24.0 21 12.4

La Luz CDP (pt.) --------------- – – – – – – – – – –– –– – – Tularosa division------------------ 8 406 17 124 20 012 10 833 4 744 1 160 24.5 465 33.0 339 32.6 67 11.2 243 19.0

Tularosa village ---------------- 7 401 15 054 17 012 8 381 2 595 809 31.2 331 42.2 236 40.5 44 11.3 183 26.7

Quay County ---------------------- 9 461 18 711 22 325 9 689 10 699 2 681 25.1 1 035 35.5 714 33.0 317 18.6 712 22.4

House-Forrest division-------------- 9 001 18 409 23 611 6 358 465 109 23.4 44 27.5 17 15.2 17 17.5 27 20.1

House village ------------------ 7 394 15 250 18 750 6 028 101 21 20.8 27.7 28.3 15 42.9 4 15.4

Logan-Nara Visa division------------ 8 992 16 179 20 536 9 078 1 137 238 20.9 68 23.4 48 22.6 54 23.4 69 20.1

Logan village ------------------ 9 369 16 083 20 375 8 017 856 167 19.5 40 21.2 33 22.9 54 26.5 47 17.2

San Jon division ------------------ 8 564 18 750 21 786 10 673 629 140 22.3 60 29.6 47 34.8 10 16.4 31 16.8

San Jon village----------------- 8 886 16 563 19 625 10 714 269 55 20.4 20 26.3 17 37.0 8 26.7 15 18.1

Tucumcari division ---------------- 9 614 19 076 22 710 9 897 8 468 2 194 25.9 863 38.1 602 35.3 236 18.0 585 23.2

Tucumcari city ----------------- 8 896 17 143 21 197 9 136 6 720 1 924 28.6 775 41.3 519 37.8 230 22.2 516 26.2

Rio Arriba County------------------- 7 859 18 373 21 144 9 809 34 038 9 372 27.5 3 546 32.7 2 522 32.6 998 31.4 2 105 23.5

Chimayo division ----------------- 8 094 17 901 22 162 9 918 3 608 991 27.5 347 29.4 277 33.1 148 39.8 192 21.1

Chimayo CDP (pt.) -------------- 9 362 20 926 25 365 11 429 2 129 395 18.6 127 19.4 95 20.7 56 30.9 77 13.5

Coyote division------------------- 7 526 19 199 22 115 5 000– 1 561 377 24.2 103 20.8 39 12.5 83 42.1 104 23.1

Dixon division ------------------- 8 658 19 412 24 333 7 016 1 338 435 32.5 121 34.0 102 34.3 21 23.9 112 29.3

Jicarilla division ------------------ 6 232 19 877 20 208 11 250 2 522 677 26.8 310 30.3 184 26.7 26 30.2 123 22.4

Dulce CDP (pt.) ---------------- 6 310 20 174 20 296 12 019 2 386 631 26.4 292 30.3 169 26.4 20 29.9 114 21.8

Rio Chama division ---------------- 6 722 18 111 18 222 12 283 2 539 837 33.0 363 41.7 271 41.6 65 29.0 190 30.0

San Juan Pueblo division ----------- 7 038 17 000 18 739 6 497 5 231 1 606 30.7 561 33.8 370 31.8 173 43.9 359 26.3

Alcalde CDP ------------------- 5 519 14 375 17 917 5 224 315 140 44.4 57 51.4 45 52.9 19 50.0 30 36.6

Espanola city (pt.) -------------- 8 050 17 600 17 386 10 938 839 248 29.6 113 42.2 66 35.7 24 43.6 58 25.7

San Juan CDP------------------ 7 342 14 118 16 250 6 783 371 139 37.5 23 32.9 23 53.5 33 48.5 29 32.2

Santa Clara division --------------- 9 411 21 893 25 620 10 881 7 575 1 783 23.5 747 32.2 535 31.4 172 21.7 414 19.7

Espanola city (pt.) -------------- 8 105 19 246 21 765 10 038 3 966 1 191 30.0 540 41.8 397 41.5 88 18.9 276 25.5

Santa Clara Pueblo CDP ---------- 6 880 16 806 19 545 8 580 1 156 355 30.7 133 33.7 91 31.0 31 33.7 84 28.4

South Rio Arriba division ----------- 8 338 18 972 24 364 11 325 5 797 1 381 23.8 492 28.4 367 31.1 167 31.2 321 20.9

Espanola city (pt.) -------------- 10 927 23 542 31 200 10 474 1 261 230 18.2 98 31.4 52 30.6 24 12.7 54 15.3

Tierra Amarilla division ------------- 6 862 15 466 16 706 10 855 2 965 903 30.5 342 37.1 243 36.8 122 30.7 209 26.4

Chama village------------------ 7 579 14 514 15 208 10 833 1 093 422 38.6 162 50.8 114 51.6 40 30.3 98 31.6

Dulce CDP (pt.) ---------------- – – – – – – – – – –– –– – – Vallecitas division ----------------- 4 374 8 691 13 447 5 377 560 244 43.6 91 50.3 65 43.9 21 22.8 56 43.4

Western Rio Arriba division---------- 8 356 22 548 22 548 – 342 138 40.4 69 65.1 69 80.2 – – 25 25.8

Roosevelt County ------------------- 9 254 18 699 22 663 11 240 15 456 4 165 26.9 1 594 35.1 1 130 34.4 499 23.3 897 21.5

Dora division -------------------- 9 523 23 125 25 208 5 861 653 121 18.5 54 27.0 36 24.8 24 17.8 22 12.1

Causey village ----------------- 11 888 25 625 23 750 26 250 54 12 22.2 6 46.2 3 37.5 – – 3 15.0

Dora village (pt.) --------------- 8 123 23 750 24 375 6 549 178 21 11.8 11 16.4 4 10.0 26.7 36.7

Elida division -------------------- 9 843 20 458 24 028 10 515 1 217 208 17.1 80 22.3 63 22.0 20 12.0 47 13.7

Elida town -------------------- 9 504 17 614 18 250 11 667 181 51 28.2 17 35.4 7 25.0 12 30.0 15 29.4

Floyd village------------------- 9 636 20 125 21 250 5 000– 124 40 32.3 21 67.7 19 65.5 3 11.5 6 15.8

Portales division ------------------ 9 194 18 392 22 396 11 498 13 586 3 836 28.2 1 460 36.6 1 031 36.2 455 24.7 828 22.7

Dora village (pt.) --------------- – ––– – – – – – –– –– – –

Portales city------------------- 8 375 16 162 19 359 11 010 9 465 3 311 35.0 1 314 47.7 936 48.4 359 26.7 701 28.0

Sandoval County ------------------- 10 849 28 950 31 126 17 617 62 980 9 852 15.6 3 979 19.9 2 736 19.8 800 12.8 2 046 12.2

Bernalillo division ----------------- 12 408 30 878 32 892 19 603 47 373 3 889 8.2 1 408 9.9 904 9.3 379 7.6 892 6.6

Bernalillo town ----------------- 7 446 19 663 20 514 10 539 5 925 1 393 23.5 580 28.8 370 25.8 99 21.3 363 23.2

Corrales village (pt.) ------------ 17 491 37 691 42 241 23 875 4 896 410 8.4 146 10.8 104 10.1 63 15.5 67 4.8

Placitas CDP ------------------- 20 706 47 269 50 140 29 659 1 592 198 12.4 68 19.2 52 19.5 17 11.1 54 10.9

Rio Rancho city ---------------- 12 345 31 512 33 469 20 502 32 246 1 496 4.6 457 4.7 274 4.3 164 4.3 319 3.4

San Felipe Pueblo CDP (pt.) ------- – – – – – – – – – –– –– – –

Santa Ana Pueblo CDP (pt.) ------- 6 597 24 531 25 000 8 559 495 66 13.3 28 16.1 17 15.0 12 35.3 11 10.8

Cuba division -------------------- 5 110 11 197 13 029 7 168 4 841 2 743 56.7 1 190 63.0 831 62.2 189 48.5 570 50.4

Cuba village ------------------- 6 931 14 712 16 000 10 000 787 311 39.5 151 53.2 105 52.2 28 28.0 71 33.5

Jemez division ------------------- 7 763 22 054 24 815 14 333 4 129 1 074 26.0 436 30.3 331 31.0 100 29.8 224 23.4

Jemez Pueblo CDP -------------- 4 636 14 950 17 560 5 809 1 409 573 40.7 244 45.3 193 49.4 45 42.5 123 43.5

Jemez Springs village ------------ 9 318 24 091 27 000 6 460 456 81 17.8 20 14.9 13 12.5 9 14.1 97.8

San Ysidro village--------------- 7 895 20 000 20 938 13 750 189 32 16.9 13 23.2 9 21.4 2 13.3 8 15.4

Zia Pueblo CDP ---------------- 4 893 20 000 17 656 20 417 638 213 33.4 85 34.6 61 33.7 22 53.7 47 34.3

Santo Domingo division ------------ 5 763 22 514 22 959 9 520 6 637 2 146 32.3 945 38.9 670 38.7 132 25.6 360 30.7

Cochiti CDP ------------------- 5 991 18 750 22 768 7 601 599 128 21.4 30 15.2 23 15.1 23 38.3 30 23.3

Pena Blanca CDP --------------- 6 117 16 696 23 000 5 540 344 74 21.5 26 25.0 26 28.6 6 11.8 10 13.9

San Felipe Pueblo CDP (pt.) ------- 3 920 18 068 17 250 5 000– 1 549 693 44.7 290 46.6 200 46.4 37 55.2 114 43.0

Santa Ana Pueblo CDP (pt.) ------- – – – – – – – – – –– –– – –

Santo Domingo Pueblo CDP ------- 5 292 24 593 23 092 5 000– 2 651 869 32.8 442 43.2 320 44.8 40 30.8 125 36.8

San Juan County ------------------- 8 911 22 300 25 289 12 058 90 770 25 652 28.3 10 833 33.3 7 651 32.3 1 812 26.8 5 555 24.1

Aztec division-------------------- 9 456 23 628 26 803 9 871 13 143 2 533 19.3 1 035 23.9 731 22.7 216 19.6 610 16.8

Aztec city -------------------- 8 919 20 982 23 933 8 953 5 183 1 208 23.3 525 30.8 349 29.5 68 12.8 295 21.1

Farmington city (pt.) ------------ 8 206 10 833 23 618 5 360 97 51 52.6 11 78.6 11 91.7 9 56.3 6 20.7

Flora Vista CDP ---------------- 12 385 30 476 32 009 17 039 1 028 149 14.5 71 23.6 60 22.4 – – 33 10.2

Bloomfield division ---------------- 8 636 22 129 24 395 9 548 10 637 2 250 21.2 1 008 26.7 742 26.0 162 22.3 474 16.7

Bloomfield city (pt.)------------- 8 581 22 335 25 000 9 399 5 132 1 066 20.8 514 27.7 369 26.1 77 22.3 210 15.1

Burnham division ----------------- 4 724 13 595 14 136 5 000– 4 005 2 145 53.6 1 059 57.6 803 60.1 129 64.8 450 51.3

Ojo Amarillo CDP --------------- 3 004 11 364 10 739 5 000– 1 045 740 70.8 472 81.2 352 85.6 14 100.0 136 67.7

Farmington division---------------- 11 681 28 576 32 408 17 247 41 828 6 611 15.8 2 812 19.8 1 963 18.8 425 12.9 1 408 12.7

Farmington city (pt.) ------------ 12 314 29 042 33 131 17 861 33 722 5 098 15.1 2 193 19.8 1 547 19.2 299 10.6 1 102 12.2

Kirtland CDP------------------- 9 114 28 686 30 133 12 917 3 552 508 14.3 213 14.5 152 13.8 45 21.0 116 13.6

Naschitti division ----------------- 3 448 7 299 8 697 5 000– 2 125 1 519 71.5 505 71.9 299 62.7 139 77.2 306 65.5

Naschitti CDP ------------------ 3 254 16 339 16 339 – 490 381 77.8 101 100.0 34 100.0 28 50.0 53 66.3

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 37
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 38

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 9. Income and Poverty Status in 1989: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Median income in 1989 (dollars) Persons for whom poverty status is determined

Income in 1989 below poverty level

All ages Related children

Under 18 years 5 to 17 years

Persons 65 years and

over

Families with income in 1989 below poverty

level

Per capita

income in 1989

(dollars)

Households Families

Nonfamily

households Total Number Percent Number Percent Number Percent Number Percent Number

Percent of all

families

San Juan CountymCon. Shiprock-Sanostee division ---------- 4 027 8 562 9 982 5 000– 14 647 8 249 56.3 3 395 58.1 2 408 56.7 589 60.2 1 852 56.8

Newcomb CDP ----------------- 4 021 8 612 7 356 25 000 380 242 63.7 85 60.7 64 66.7 38 73.1 60 69.0

Sanostee CDP------------------ 3 587 6 703 7 130 5 000– 657 445 67.7 165 69.0 142 71.0 23 100.0 131 71.2

Shiprock CDP ------------------ 4 767 12 636 14 841 6 363 7 568 3 538 46.7 1 503 49.3 1 017 48.1 128 37.2 790 48.0

Simpson-Chaco division------------- 4 340 11 514 14 289 5 000– 4 385 2 345 53.5 1 019 56.7 705 60.9 152 57.6 455 47.2

Bloomfield city (pt.)------------- – – – – – – – – – –– –– – –

Farmington city (pt.) ------------ – – – – – – – – – –– –– – –

San Miguel County------------------ 8 149 17 885 19 783 10 115 24 387 7 357 30.2 2 805 37.8 1 978 36.3 784 27.8 1 666 26.3

Conchas Dam division-------------- 7 825 14 135 14 904 6 364 286 73 25.5 24 41.4 24 64.9 16 15.7 19 18.4

Mosquero village (pt.) ----------- – – – – – – – – – –– –– – –

Las Vegas division ---------------- 7 922 18 280 20 300 10 448 18 697 5 527 29.6 2 058 36.4 1 422 34.1 533 25.3 1 251 26.0

Las Vegas city ----------------- 7 515 18 023 20 016 10 294 13 996 4 239 30.3 1 558 37.3 1 047 33.5 439 25.9 964 26.9

Pecos division-------------------- 11 137 21 046 22 267 16 920 3 414 884 25.9 335 33.1 241 34.9 124 38.3 222 23.4

Pecos village ------------------ 8 901 18 372 18 629 17 708 1 032 159 15.4 37 14.2 20 13.2 23 14.8 34 11.9

Trementina division---------------- 4 479 9 441 9 862 6 002 299 207 69.2 67 100.0 50 100.0 40 41.2 42 59.2

Villanueva division ---------------- 5 479 12 273 15 426 5 000– 1 691 666 39.4 321 50.6 241 48.5 71 36.8 132 31.9

Santa Fe County-------------------- 15 327 29 403 34 073 20 823 96 325 12 564 13.0 4 260 17.0 2 760 15.2 1 321 13.6 2 609 10.4

Santa Fe division ----------------- 16 450 29 703 35 571 21 293 60 717 7 631 12.6 2 347 16.5 1 541 15.0 895 12.3 1 499 9.5

Agua Fria CDP ----------------- 9 758 23 686 24 702 19 778 3 569 807 22.6 303 29.0 264 35.0 25 8.8 193 18.8

Santa Fe city (pt.) -------------- 16 496 29 982 36 480 21 364 54 444 6 630 12.2 2 001 15.9 1 247 13.8 849 12.6 1 271 9.1

Tesuque CDP (pt.) -------------- – – – – – – – – – –– –– – – Santa Fe North division ------------ 13 426 24 422 27 057 15 394 14 867 2 494 16.8 888 20.0 589 17.8 306 24.7 588 14.8

Chimayo CDP (pt.) -------------- 9 271 11 184 25 066 5 000– 609 147 24.1 29 21.0 – – 28 28.6 42 25.1

Cuyamungue CDP --------------- 10 344 27 708 33 750 17 000 327 53 16.2 10 9.7 56.6 14 42.4 9 11.1

Espanola city (pt.) -------------- 9 214 20 807 23 521 7 988 2 177 499 22.9 196 28.1 125 25.1 84 37.7 117 19.6

Jaconita CDP ------------------ 11 283 30 833 31 354 29 107 368 31 8.4 14 13.3 9 10.5 – – 10 9.9

Nambe CDP ------------------- 12 517 25 972 32 417 13 393 1 246 175 14.0 42 12.7 18 7.1 26 21.0 45 13.5

Pojoaque CDP------------------ 10 976 23 306 24 402 20 724 1 028 149 14.5 45 12.8 31 11.7 21 38.9 37 13.6

San Ildefonso Pueblo CDP--------- 9 337 21 538 21 731 12 813 424 47 11.1 10 6.5 75.8 21 42.0 87.7

Santa Cruz CDP ---------------- 8 952 21 615 21 731 15 179 2 492 502 20.1 206 23.0 141 19.8 38 47.5 141 21.3

Santa Fe city (pt.) -------------- 119 902 150 000+ 150 000+ 41 250 41 – – – – –– –– – – Tesuque CDP (pt.) -------------- 27 930 26 865 38 816 16 389 1 520 167 11.0 49 15.7 30 13.4 12 7.5 23 5.7

Santa Fe South division ------------ 13 465 32 971 35 128 22 799 20 741 2 439 11.8 1 025 16.0 630 13.7 120 10.1 522 9.5

Edgewood CDP (pt.)------------- 11 508 30 699 33 167 16 094 2 826 326 11.5 119 12.9 94 13.3 41 16.6 66 8.0

Eldorado at Santa Fe CDP--------- 19 498 46 301 46 645 43 125 2 311 69 3.0 22 3.4 11 2.1 – – 12 1.8

La Cienega CDP ---------------- 9 753 24 481 24 659 23 611 1 035 211 20.4 125 30.9 50 24.4 – – 51 18.9

Santa Fe city (pt.) -------------- 13 646 38 333 37 604 43 750 153 77 50.3 37 55.2 27 64.3 – – 19 48.7

Sierra County ---------------------- 10 124 15 612 20 292 7 816 9 606 1 882 19.6 571 29.6 349 25.4 442 14.8 383 13.3

Truth or Consequences East division --- 9 519 14 911 20 065 7 402 7 712 1 528 19.8 446 29.9 291 27.2 384 15.0 306 13.3

Truth or Consequences city-------- 9 302 14 090 18 964 7 108 5 932 1 230 20.7 363 30.8 253 29.2 315 15.5 249 14.4

Williamsburg village ------------- 8 497 14 583 18 359 10 357 461 96 20.8 20 22.5 8 20.0 41 22.4 28 21.1

Truth or Consequences West division -- 12 679 18 165 20 840 11 204 1 894 354 18.7 125 28.7 58 18.9 58 13.7 77 13.3

Socorro County -------------------- 9 154 19 165 23 653 10 216 14 320 4 282 29.9 1 599 36.4 1 050 32.6 404 26.9 907 23.9

Claunch division ------------------ 13 896 25 446 17 321 12 045 119 – – – – –– –– – –

Magdalena division---------------- 6 618 15 625 18 109 8 545 2 804 1 058 37.7 435 43.9 314 42.8 92 37.7 217 31.9

Magdalena village -------------- 7 816 17 212 20 568 7 247 883 221 25.0 66 25.9 51 26.7 36 30.0 51 21.3

Socorro city (pt.) --------------- – – – – – – – – – –– –– – –

Rio Grande division---------------- 9 707 20 200 25 353 10 067 11 397 3 224 28.3 1 164 34.4 736 29.8 312 25.0 690 22.3

Socorro city (pt.) --------------- 10 255 20 728 26 781 10 990 7 762 2 260 29.1 807 35.7 503 31.2 192 22.4 473 23.0

Taos County----------------------- 9 158 16 966 20 049 9 496 23 016 6 335 27.5 2 279 34.6 1 557 32.5 773 30.2 1 484 23.8

Arroyo Hondo division ------------- 11 560 20 711 21 336 12 895 2 747 662 24.1 236 33.2 167 31.9 45 19.2 147 19.4

Questa village (pt.) ------------- – – – – – – – – – –– –– – –

Penasco division ------------------ 6 979 14 333 20 431 5 000– 1 240 372 30.0 145 40.2 87 31.4 90 43.5 89 28.2

Picuris division ------------------- 5 957 12 285 13 843 5 634 1 895 748 39.5 258 43.6 192 45.7 92 40.9 198 37.9

Chamisal CDP------------------ 5 568 8 321 10 500 5 000– 255 103 40.4 18 27.7 15 32.6 44 72.1 34 41.5

Penasco CDP ------------------ 6 061 13 583 17 188 6 611 654 279 42.7 102 44.7 75 45.7 20 41.7 67 40.1

Vadito CDP ------------------- 7 751 15 938 16 750 8 246 290 82 28.3 31 37.3 30 46.9 4 13.8 18 24.0

Questa division------------------- 7 822 16 961 19 668 8 244 3 290 649 19.7 197 20.1 135 18.7 102 24.2 137 15.1

Questa village (pt.) ------------- 6 205 16 549 17 436 8 017 1 674 369 22.0 138 25.8 101 24.6 43 23.1 81 18.3

Red River town----------------- 15 278 30 179 31 964 12 917 407 37 9.1 13 13.0 9 13.0 – – 11 7.9

Taos division -------------------- 10 249 17 966 21 569 11 129 11 200 2 985 26.7 1 118 35.0 765 32.4 353 29.4 729 23.9

Ranchos De Taos CDP------------ 11 135 15 917 19 375 7 599 1 618 505 31.2 187 39.0 126 34.9 53 44.2 151 31.5

Taos town (pt.) ---------------- 10 124 16 747 21 071 11 864 3 974 1 057 26.6 409 38.4 301 36.6 123 22.0 250 22.9

Taos Pueblo division --------------- 6 879 14 507 15 840 6 057 2 194 775 35.3 292 45.0 211 46.1 91 38.4 168 29.0

Taos town (pt.) ---------------- 6 194 7 402 7 025 8 065 45 28 62.2 7 70.0 4 57.1 11 100.0 10 71.4

Taos Pueblo CDP --------------- 4 897 11 985 13 160 5 000– 1 187 502 42.3 177 51.5 126 53.2 61 42.4 114 37.1

Tres Piedras division --------------- 7 614 15 096 18 542 5 000– 450 144 32.0 33 36.7 –– –– 16 14.3

Torrance County -------------------- 8 950 19 619 22 876 10 847 10 221 2 153 21.1 832 25.8 618 25.4 244 21.0 515 18.4

Encino division ------------------- 6 885 12 396 15 000 5 000– 537 154 28.7 44 45.8 44 60.3 30 20.3 37 22.0

Encino village ------------------ 8 265 14 545 21 875 7 368 140 15 10.7 – – –– 7 30.4 25.4

Estancia division ------------------ 9 467 21 954 25 170 12 768 8 023 1 486 18.5 601 22.8 431 21.6 137 19.1 358 16.5

Edgewood CDP (pt.)------------- 9 123 28 583 30 167 15 625 476 31 6.5 52.9 53.8 – – 9 7.3

Estancia town------------------ 8 379 14 946 19 167 7 171 732 222 30.3 89 40.3 69 38.8 39 29.5 57 25.2

Moriarty city ------------------ 8 424 18 750 22 619 10 263 1 393 287 20.6 106 23.7 74 23.4 49 26.6 69 17.7

Mountainair division --------------- 7 112 14 394 17 148 7 187 1 661 513 30.9 187 38.3 143 39.1 77 26.0 120 26.3

Mountainair town--------------- 6 593 13 277 15 192 7 485 904 353 39.0 144 52.9 107 49.5 49 26.1 81 33.8

Willard village ----------------- 6 841 15 417 20 357 6 829 196 31 15.8 23.4 25.1 11 50.0 8 16.7

Union County ---------------------- 10 603 18 227 22 482 10 444 4 059 852 21.0 312 27.7 201 24.7 158 22.6 182 15.7

Clayton North division ------------- 9 245 21 548 27 125 9 422 859 140 16.3 44 16.9 14 7.7 34 34.7 25 10.8

Clayton town (pt.) -------------- – – – – – – – – – –– –– – –

Des Moines village -------------- 6 747 17 500 20 000 6 830 157 13 8.3 – – –– –– 7 17.5

Folsom village ----------------- 5 892 12 333 16 875 11 042 156 42 26.9 15 31.3 8 22.2 6 46.2 6 20.0

Grenville village ---------------- 12 083 9 042 31 250 5 360 12 5 41.7 – – –– 5 100.0 – –

Clayton South division ------------- 10 963 17 545 21 435 10 792 3 200 712 22.3 268 30.9 187 29.6 124 20.7 157 16.9

Clayton town (pt.) -------------- 10 587 16 138 20 000 8 861 2 364 596 25.2 222 34.5 168 35.4 109 20.9 131 18.7

38 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 39

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Table 9. Income and Poverty Status in 1989: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Median income in 1989 (dollars) Persons for whom poverty status is determined

Income in 1989 below poverty level

All ages Related children

Under 18 years 5 to 17 years

Persons 65 years and

over

Families with income in 1989 below poverty

level

Per capita

income in 1989

(dollars)

Households Families

Nonfamily

households Total Number Percent Number Percent Number Percent Number Percent Number

Percent of all

families

Valencia County -------------------- 10 244 24 312 27 318 12 008 43 697 8 288 19.0 3 447 25.2 2 418 24.5 636 14.3 1 889 15.6

Belen division -------------------- 9 732 20 863 24 084 10 948 14 719 3 331 22.6 1 347 31.2 988 31.6 291 12.8 751 18.1

Belen city--------------------- 9 267 18 852 21 554 11 148 6 428 1 814 28.2 800 39.1 571 41.0 122 14.4 413 23.9

Los Chaves CDP (pt.) ------------ 11 472 14 773 13 750 33 750 41 – – – – –– –– – –

Los Trujillos-Gabaldon CDP (pt.) ---- 7 915 20 698 22 282 8 263 1 804 470 26.1 203 34.8 174 36.1 41 16.1 110 21.8

Rio Communities CDP ------------ 12 914 23 922 30 413 13 403 3 227 419 13.0 123 18.4 89 17.0 71 7.8 103 10.0

Los Lunas division ---------------- 10 494 26 663 29 471 12 696 28 978 4 957 17.1 2 100 22.5 1 430 21.2 345 15.8 1 138 14.2

Bosque Farms village ------------ 12 846 33 767 34 767 18 571 3 768 213 5.7 69 6.7 34 4.5 92.9 27 2.4

Isleta Pueblo CDP (pt.) ----------- 8 686 28 036 34 821 5 268 377 76 20.2 31 21.4 29 29.9 9 40.9 12 13.2

Los Chaves CDP (pt.) ------------ 11 689 27 037 31 757 11 464 3 812 733 19.2 363 29.4 288 32.1 50 16.0 170 15.1

Los Lunas village --------------- 9 706 19 554 20 060 16 372 5 890 1 490 25.3 654 32.4 455 30.8 95 20.4 387 24.5

Los Trujillos-Gabaldon CDP (pt.) ---- – – – – – – – – – –– –– – –

Meadow Lake CDP -------------- 8 293 27 958 29 083 13 417 1 571 239 15.2 76 14.6 52 15.3 24 25.8 53 12.7

Peralta CDP ------------------- 13 944 30 929 34 348 17 237 3 158 310 9.8 139 14.7 96 13.4 21 7.0 49 5.6

Tome-Adelino CDP -------------- 9 885 23 625 27 687 6 721 1 572 283 18.0 107 22.7 69 18.3 20 16.4 65 14.7

Valencia CDP ------------------ 10 425 29 792 33 301 8 050 3 857 565 14.6 220 18.3 123 14.2 67 23.6 113 10.9

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 39
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 40

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 10. Income and Poverty Status in 1989: 1990

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Median income in 1989 (dollars) Persons for whom poverty status is determined

Income in 1989 below poverty level

All ages Related children

Under 18 years 5 to 17 years

Persons 65 years and

over

Families with income in 1989 below poverty

level

Per capita

income in 1989

(dollars)

Households Families

Nonfamily

households Total Number Percent Number Percent Number Percent Number Percent Number

Percent of all

families

The State----------------- 11 246 24 087 27 623 14 942 1 484 339 305 934 20.6 120 139 27.5 82 713 26.3 25 839 16.5 65 042 16.5

COUNTY Bernalillo County ------------------- 13 594 27 382 32 652 17 387 472 908 68 845 14.6 24 065 19.5 16 235 18.6 5 177 10.7 13 724 10.9

Catron County --------------------- 8 537 18 460 22 278 7 178 2 563 657 25.6 188 27.3 137 25.9 147 37.6 153 19.5

Chaves County --------------------- 10 550 21 764 24 889 12 312 56 447 12 621 22.4 5 205 30.6 3 537 28.7 1 197 14.9 2 820 18.3

Cibola County---------------------- 6 803 16 848 18 716 9 345 23 064 7 753 33.6 3 262 40.6 2 240 36.6 524 27.1 1 714 29.9

Colfax County --------------------- 10 076 20 800 24 024 11 415 12 487 2 321 18.6 876 25.3 535 20.7 358 18.1 561 15.8

Curry County ---------------------- 9 843 21 303 24 125 12 696 41 054 7 872 19.2 3 486 27.5 2 319 26.0 704 16.2 1 729 15.0

DeBaca County--------------------- 8 896 15 686 19 464 8 920 2 201 483 21.9 157 27.7 119 28.0 102 21.7 124 19.0

Dona Ana County------------------- 9 374 21 859 24 720 13 112 131 099 34 676 26.5 13 972 34.5 9 966 34.4 1 853 15.8 6 918 20.7

Eddy County----------------------- 10 490 23 418 27 310 10 835 47 729 9 755 20.4 3 903 27.3 2 790 26.1 1 281 18.4 2 162 16.2

Grant County ---------------------- 9 381 21 350 24 363 13 212 26 976 5 731 21.2 2 453 29.5 1 715 27.4 524 14.4 1 329 17.7

Guadalupe County ------------------ 6 529 13 350 15 505 6 767 4 132 1 589 38.5 576 46.0 434 46.2 187 33.0 425 36.6

Harding County -------------------- 9 731 19 020 22 865 10 089 987 151 15.3 62 22.0 46 21.3 18 8.7 32 11.4

Hidalgo County--------------------- 10 092 23 504 27 090 12 526 5 843 1 212 20.7 499 25.5 367 25.4 120 20.0 295 18.1

Lea County------------------------ 10 025 23 352 26 620 11 439 54 926 12 309 22.4 5 340 29.5 3 701 27.5 1 144 20.1 2 806 18.5

Lincoln County --------------------- 10 701 19 489 23 988 10 368 11 839 2 384 20.1 767 25.2 603 26.8 353 18.9 558 16.2

Los Alamos County ----------------- 22 900 54 801 60 798 32 042 18 029 433 2.4 130 2.8 121 3.4 45 2.8 79 1.5

Luna County----------------------- 8 116 15 684 17 374 9 475 17 947 5 645 31.5 2 358 45.3 1 767 45.3 668 18.9 1 264 24.9

McKinley County ------------------- 6 628 17 468 17 861 10 738 60 069 26 118 43.5 11 636 50.4 7 724 49.5 1 533 41.8 5 125 38.0

Mora County ---------------------- 7 021 12 993 17 853 6 581 4 257 1 540 36.2 589 47.4 404 41.8 166 26.3 357 32.0

Otero County ---------------------- 10 053 22 624 25 409 15 643 50 208 8 404 16.7 3 523 22.5 2 269 21.0 550 12.5 1 917 13.7

Quay County ---------------------- 9 461 18 711 22 325 9 689 10 699 2 681 25.1 1 035 35.5 714 33.0 317 18.6 712 22.4

Rio Arriba County------------------- 7 859 18 373 21 144 9 809 34 038 9 372 27.5 3 546 32.7 2 522 32.6 998 31.4 2 105 23.5

Roosevelt County ------------------- 9 254 18 699 22 663 11 240 15 456 4 165 26.9 1 594 35.1 1 130 34.4 499 23.3 897 21.5

Sandoval County ------------------- 10 849 28 950 31 126 17 617 62 980 9 852 15.6 3 979 19.9 2 736 19.8 800 12.8 2 046 12.2

San Juan County ------------------- 8 911 22 300 25 289 12 058 90 770 25 652 28.3 10 833 33.3 7 651 32.3 1 812 26.8 5 555 24.1

San Miguel County------------------ 8 149 17 885 19 783 10 115 24 387 7 357 30.2 2 805 37.8 1 978 36.3 784 27.8 1 666 26.3

Santa Fe County-------------------- 15 327 29 403 34 073 20 823 96 325 12 564 13.0 4 260 17.0 2 760 15.2 1 321 13.6 2 609 10.4

Sierra County ---------------------- 10 124 15 612 20 292 7 816 9 606 1 882 19.6 571 29.6 349 25.4 442 14.8 383 13.3

Socorro County -------------------- 9 154 19 165 23 653 10 216 14 320 4 282 29.9 1 599 36.4 1 050 32.6 404 26.9 907 23.9

Taos County----------------------- 9 158 16 966 20 049 9 496 23 016 6 335 27.5 2 279 34.6 1 557 32.5 773 30.2 1 484 23.8

Torrance County -------------------- 8 950 19 619 22 876 10 847 10 221 2 153 21.1 832 25.8 618 25.4 244 21.0 515 18.4

Union County ---------------------- 10 603 18 227 22 482 10 444 4 059 852 21.0 312 27.7 201 24.7 158 22.6 182 15.7

Valencia County -------------------- 10 244 24 312 27 318 12 008 43 697 8 288 19.0 3 447 25.2 2 418 24.5 636 14.3 1 889 15.6

PLACE AND COUNTY SUBDIVISION Acomita Lake CDP, Cibola County ------ 4 463 16 563 16 875 6 667 269 110 40.9 49 45.8 41 55.4 8 30.8 21 39.6

Agua Fria CDP, Santa Fe County ------- 9 758 23 686 24 702 19 778 3 569 807 22.6 303 29.0 264 35.0 25 8.8 193 18.8

Alamogordo city, Otero County-------- 11 255 24 579 27 875 16 660 27 155 3 671 13.5 1 438 18.7 937 17.4 291 10.7 880 11.4

Albuquerque city, Bernalillo County ----- 14 013 27 555 33 746 17 560 378 521 52 903 14.0 17 623 18.7 11 720 17.7 3 975 9.7 10 291 10.3

Alcalde CDP, Rio Arriba County -------- 5 519 14 375 17 917 5 224 315 140 44.4 57 51.4 45 52.9 19 50.0 30 36.6

Angel Fire village, Colfax County------- 7 509 18 333 11 250 29 688 107 40 37.4 19 43.2 9 29.0 – – 9 27.3

Anthony CDP, Dona Ana County ------- 4 350 13 274 13 967 6 107 5 096 2 416 47.4 1 211 57.6 855 57.5 96 37.1 491 41.7

Artesia city, Eddy County ------------ 10 474 22 684 27 789 8 040 10 449 2 234 21.4 912 29.1 697 30.4 399 25.4 464 15.6

Aztec city, San Juan County ---------- 8 919 20 982 23 933 8 953 5 183 1 208 23.3 525 30.8 349 29.5 68 12.8 295 21.1

Bayard city, Grant County ----------- 7 140 16 154 19 688 10 764 2 432 763 31.4 335 44.0 267 44.6 94 29.2 175 25.9

Belen city, Valencia County----------- 9 267 18 852 21 554 11 148 6 428 1 814 28.2 800 39.1 571 41.0 122 14.4 413 23.9

Bernalillo town, Sandoval County ------ 7 446 19 663 20 514 10 539 5 925 1 393 23.5 580 28.8 370 25.8 99 21.3 363 23.2

Black Rock CDP, McKinley County ------ 4 933 12 500 8 594 18 393 815 535 65.6 283 73.5 182 69.2 6 100.0 101 60.8

Bloomfield city, San Juan County ------ 8 581 22 335 25 000 9 399 5 132 1 066 20.8 514 27.7 369 26.1 77 22.3 210 15.1

Boles Acres CDP, Otero County-------- 11 082 26 331 30 321 11 250 1 373 165 12.0 45 12.6 26 10.9 29 17.0 47 11.4

Bosque Farms village, Valencia County -- 12 846 33 767 34 767 18 571 3 768 213 5.7 69 6.7 34 4.5 92.9 27 2.4

Cannon AFB CDP, Curry County-------- 7 577 20 292 20 292 – 2 605 200 7.7 106 9.5 39 6.6 – – 45 6.1

Capitan village, Lincoln County -------- 10 696 17 379 25 469 11 964 825 106 12.8 25 14.5 25 17.7 18 13.2 21 9.1

Carlsbad city, Eddy County ----------- 10 508 22 605 26 512 11 760 24 267 5 018 20.7 1 998 28.9 1 371 26.6 637 15.5 1 134 16.9

Carlsbad North CDP, Eddy County ------ 17 334 39 808 45 625 27 639 1 210 44 3.6 – – –– 16 8.1 82.2

Carrizozo town, Lincoln County -------- 9 037 16 094 23 190 7 709 1 000 256 25.6 64 30.5 42 28.2 68 27.0 60 20.7

Causey village, Roosevelt County ------ 11 888 25 625 23 750 26 250 54 12 22.2 6 46.2 3 37.5 – – 3 15.0

Central village, Grant County --------- 6 605 15 616 17 172 8 583 1 829 515 28.2 255 39.9 184 39.8 36 14.6 109 22.2

Chama village, Rio Arriba County ------ 7 579 14 514 15 208 10 833 1 093 422 38.6 162 50.8 114 51.6 40 30.3 98 31.6

Chamisal CDP, Taos County----------- 5 568 8 321 10 500 5 000– 255 103 40.4 18 27.7 15 32.6 44 72.1 34 41.5

Chaparral CDP, Dona Ana County ------ 7 228 21 528 21 849 14 750 3 008 798 26.5 388 33.7 288 32.5 20 12.3 163 21.9

Chimayo CDP ---------------------- 9 341 19 858 25 280 9 907 2 738 542 19.8 156 19.7 95 17.2 84 30.1 119 16.1

Rio Arriba County----------------- 9 362 20 926 25 365 11 429 2 129 395 18.6 127 19.4 95 20.7 56 30.9 77 13.5

Santa Fe County------------------ 9 271 11 184 25 066 5 000– 609 147 24.1 29 21.0 – – 28 28.6 42 25.1

Cimarron village, Colfax County ------- 8 359 17 404 19 342 8 959 754 147 19.5 50 22.5 32 20.1 40 30.8 27 12.6

Clayton town, Union County ---------- 10 587 16 138 20 000 8 861 2 364 596 25.2 222 34.5 168 35.4 109 20.9 131 18.7

Cloudcroft village, Otero County ------- 12 236 22 407 27 500 18 214 544 78 14.3 25 18.7 20 20.0 24.0 21 12.4

Clovis city, Curry County------------- 10 002 21 222 24 567 13 420 30 568 6 551 21.4 2 915 32.6 1 941 30.3 623 17.3 1 456 17.1

Cochiti CDP, Sandoval County --------- 5 991 18 750 22 768 7 601 599 128 21.4 30 15.2 23 15.1 23 38.3 30 23.3

Columbus village, Luna County -------- 7 352 10 781 12 417 7 443 619 284 45.9 121 64.4 93 65.5 42 26.4 60 37.7

Corona village, Lincoln County--------- 8 409 18 958 20 625 12 813 233 50 21.5 12 18.2 48.3 22 62.9 19 28.8

Corrales village--------------------- 19 141 38 729 43 728 24 292 5 445 473 8.7 181 12.4 130 11.8 68 14.0 77 4.9

Bernalillo County ----------------- 33 922 55 995 59 697 29 063 549 63 11.5 35 32.1 26 33.8 56.3 10 5.7

Sandoval County ----------------- 17 491 37 691 42 241 23 875 4 896 410 8.4 146 10.8 104 10.1 63 15.5 67 4.8

Crownpoint CDP, McKinley County------ 6 577 25 000 20 855 22 614 1 951 583 29.9 340 37.7 187 39.0 19 25.3 111 27.1

Cuba village, Sandoval County -------- 6 931 14 712 16 000 10 000 787 311 39.5 151 53.2 105 52.2 28 28.0 71 33.5

Cuyamungue CDP, Santa Fe County----- 10 344 27 708 33 750 17 000 327 53 16.2 10 9.7 56.6 14 42.4 9 11.1

Deming city, Luna County ------------ 7 801 15 570 16 994 10 060 10 843 3 675 33.9 1 641 48.7 1 219 48.6 380 18.5 778 26.4

Des Moines village, Union County ------ 6 747 17 500 20 000 6 830 157 13 8.3 – – –– –– 7 17.5

Dexter town, Chaves County---------- 7 150 19 125 21 094 10 750 898 239 26.6 118 36.4 76 31.5 35 33.3 61 25.1

Dona Ana CDP, Dona Ana County------ 5 895 15 926 17 531 8 343 881 215 24.4 73 26.3 43 22.3 12 16.9 42 19.7

Dora village, Roosevelt County -------- 8 123 23 750 24 375 6 549 178 21 11.8 11 16.4 4 10.0 26.7 36.7

Dulce CDP, Rio Arriba County --------- 6 310 20 174 20 296 12 019 2 386 631 26.4 292 30.3 169 26.4 20 29.9 114 21.8

Eagle Nest village, Colfax County ------ 11 653 23 750 27 188 8 941 187 8 4.3 4 10.8 4 13.3 – – 4 7.3

Edgewood CDP --------------------- 11 162 30 051 32 194 16 000 3 302 357 10.8 124 11.3 99 11.8 41 15.5 75 7.9

Santa Fe County------------------ 11 508 30 699 33 167 16 094 2 826 326 11.5 119 12.9 94 13.3 41 16.6 66 8.0

Torrance County ------------------ 9 123 28 583 30 167 15 625 476 31 6.5 52.9 53.8 – – 9 7.3

Eldorado at Santa Fe CDP, Santa Fe

County-------------------------- 19 498 46 301 46 645 43 125 2 311 69 3.0 22 3.4 11 2.1 – – 12 1.8

Elida town, Roosevelt County --------- 9 504 17 614 18 250 11 667 181 51 28.2 17 35.4 7 25.0 12 30.0 15 29.4

40 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 41

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 10. Income and Poverty Status in 1989: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Median income in 1989 (dollars) Persons for whom poverty status is determined

Income in 1989 below poverty level

All ages Related children

Under 18 years 5 to 17 years

Persons 65 years and

over

Families with income in 1989 below poverty

level

Per capita

income in 1989

(dollars)

Households Families

Nonfamily

households Total Number Percent Number Percent Number Percent Number Percent Number

Percent of all

families

PLACE AND COUNTY SUBDIVISION

mCon.

Encino village, Torrance County -------- 8 265 14 545 21 875 7 368 140 15 10.7 – – –– 7 30.4 25.4

Espanola city ---------------------- 8 816 19 785 23 523 9 730 8 243 2 168 26.3 947 36.9 640 35.4 220 23.6 505 22.4

Rio Arriba County----------------- 8 676 19 322 23 525 10 321 6 066 1 669 27.5 751 40.1 515 39.3 136 19.2 388 23.4

Santa Fe County------------------ 9 214 20 807 23 521 7 988 2 177 499 22.9 196 28.1 125 25.1 84 37.7 117 19.6

Estancia town, Torrance County ------- 8 379 14 946 19 167 7 171 732 222 30.3 89 40.3 69 38.8 39 29.5 57 25.2

Eunice city, Lea County-------------- 9 713 24 142 27 117 10 000 2 731 481 17.6 231 23.9 201 26.5 59 20.8 116 15.3

Farmington city, San Juan County ------ 12 302 28 911 33 063 17 651 33 819 5 149 15.2 2 204 19.8 1 558 19.4 308 10.9 1 108 12.2

Flora Vista CDP, San Juan County------ 12 385 30 476 32 009 17 039 1 028 149 14.5 71 23.6 60 22.4 – – 33 10.2

Floyd village, Roosevelt County -------- 9 636 20 125 21 250 5 000– 124 40 32.3 21 67.7 19 65.5 3 11.5 6 15.8

Folsom village, Union County --------- 5 892 12 333 16 875 11 042 156 42 26.9 15 31.3 8 22.2 6 46.2 6 20.0

Fort Sumner village, DeBaca County ---- 7 775 12 468 17 803 7 841 1 221 299 24.5 78 27.3 49 24.7 83 27.0 79 22.4

Gallup city, McKinley County---------- 10 559 26 622 29 432 16 467 18 830 4 323 23.0 1 918 30.0 1 268 28.4 197 16.0 923 19.3

Grady village, Curry County ---------- 11 305 30 417 30 417 – 107 18 16.8 11 32.4 6 24.0 – – 3 9.1

Grants city, Cibola County ----------- 8 093 18 427 20 914 10 808 8 328 2 279 27.4 955 34.6 610 29.0 96 13.9 563 25.3

Grenville village, Union County -------- 12 083 9 042 31 250 5 360 12 5 41.7 – – –– 5 100.0 – –

Hagerman town, Chaves County ------- 6 505 13 634 14 853 6 947 978 332 33.9 152 45.6 98 40.7 20 17.1 83 31.4

Hatch village, Dona Ana County ------- 5 864 12 975 14 527 8 333 1 158 465 40.2 207 52.0 137 46.9 50 30.5 96 34.5

Hobbs city, Lea County-------------- 10 230 22 807 25 757 11 872 28 654 7 106 24.8 3 154 33.3 2 153 31.0 623 20.5 1 610 20.9

Holloman AFB CDP, Otero County ------ 7 163 20 307 20 483 11 250 4 980 415 8.3 233 10.5 65 5.0 – – 84 6.3

Hope village, Eddy County ----------- 8 111 15 781 17 188 10 625 97 15 15.5 – – –– 12 32.4 6 18.8

House village, Quay County ---------- 7 394 15 250 18 750 6 028 101 21 20.8 27.7 28.3 15 42.9 4 15.4

Hurley town, Grant County ----------- 8 200 20 472 22 226 9 784 1 534 145 9.5 60 12.9 42 11.3 20 6.9 33 7.6

Isleta Pueblo CDP ------------------- 6 966 18 542 22 917 5 543 1 720 510 29.7 178 29.7 142 33.5 78 44.3 114 26.8

Bernalillo County ----------------- 6 485 17 050 20 682 5 667 1 343 434 32.3 147 32.4 113 34.6 69 44.8 102 30.5

Valencia County ------------------ 8 686 28 036 34 821 5 268 377 76 20.2 31 21.4 29 29.9 9 40.9 12 13.2

Jaconita CDP, Santa Fe County -------- 11 283 30 833 31 354 29 107 368 31 8.4 14 13.3 9 10.5 – – 10 9.9

Jal city, Lea County ---------------- 9 542 22 015 25 968 12 550 2 151 492 22.9 223 31.9 170 31.7 60 23.9 114 18.9

Jemez Pueblo CDP, Sandoval County---- 4 636 14 950 17 560 5 809 1 409 573 40.7 244 45.3 193 49.4 45 42.5 123 43.5

Jemez Springs village, Sandoval County - 9 318 24 091 27 000 6 460 456 81 17.8 20 14.9 13 12.5 9 14.1 97.8

Kirtland CDP, San Juan County -------- 9 114 28 686 30 133 12 917 3 552 508 14.3 213 14.5 152 13.8 45 21.0 116 13.6

La Cienega CDP, Santa Fe County ------ 9 753 24 481 24 659 23 611 1 035 211 20.4 125 30.9 50 24.4 – – 51 18.9

Laguna CDP, Cibola County ----------- 7 443 20 882 18 750 22 159 449 98 21.8 29 21.6 8 10.3 22 40.7 28 26.2

Lake Arthur town, Chaves County ------ 5 922 16 250 20 089 5 881 319 109 34.2 45 36.9 37 41.6 16 43.2 27 31.8

La Luz CDP, Otero County ----------- 10 564 23 306 26 389 16 307 1 635 170 10.4 65 11.7 53 12.4 12 11.7 37 8.2

Las Cruces city, Dona Ana County ----- 11 175 23 648 29 153 13 262 61 383 13 872 22.6 4 748 29.3 3 377 29.1 765 11.2 2 616 16.6

Las Vegas city, San Miguel County ----- 7 515 18 023 20 016 10 294 13 996 4 239 30.3 1 558 37.3 1 047 33.5 439 25.9 964 26.9

Logan village, Quay County----------- 9 369 16 083 20 375 8 017 856 167 19.5 40 21.2 33 22.9 54 26.5 47 17.2

Lordsburg city, Hidalgo County -------- 7 077 16 057 18 105 11 207 2 807 1 004 35.8 452 48.1 328 46.6 85 23.9 238 32.1

Los Alamos CDP, Los Alamos County --- 22 740 48 330 57 076 31 030 11 343 263 2.3 52 1.9 52 2.5 36 3.0 51 1.5

Los Chaves CDP, Valencia County ------ 11 687 27 008 31 571 11 786 3 853 733 19.0 363 28.9 288 31.3 50 15.5 170 14.9

Los Lunas village, Valencia County ----- 9 706 19 554 20 060 16 372 5 890 1 490 25.3 654 32.4 455 30.8 95 20.4 387 24.5

Los Ranchos de Albuquerque village,

Bernalillo County ------------------ 23 163 37 167 44 079 16 500 3 940 426 10.8 134 13.3 107 13.3 68 17.4 103 9.5

Los Trujillos-Gabaldon CDP, Valencia

County-------------------------- 7 915 20 698 22 282 8 263 1 804 470 26.1 203 34.8 174 36.1 41 16.1 110 21.8

Loving village, Eddy County----------- 6 564 15 893 18 611 6 205 1 243 369 29.7 156 37.0 103 34.0 33 21.7 77 24.4

Lovington city, Lea County ----------- 8 579 21 433 23 590 11 695 9 083 2 429 26.7 1 088 34.6 715 30.8 200 20.1 554 22.5

Magdalena village, Socorro County ----- 7 816 17 212 20 568 7 247 883 221 25.0 66 25.9 51 26.7 36 30.0 51 21.3

Maxwell village, Colfax County-------- 6 865 12 778 17 813 5 000– 257 41 16.0 68.7 – – 11 22.4 9 11.7

Meadow Lake CDP, Valencia County ---- 8 293 27 958 29 083 13 417 1 571 239 15.2 76 14.6 52 15.3 24 25.8 53 12.7

Melrose village, Curry County --------- 8 721 15 341 21 687 7 252 651 92 14.1 29 18.5 13 11.4 23 13.0 19 9.6

Mescalero CDP, Otero County --------- 5 391 16 118 14 556 5 000– 1 152 495 43.0 247 54.0 164 52.7 10 17.2 99 38.8

Mesilla town, Dona Ana County ------- 13 989 25 650 33 676 11 845 1 972 235 11.9 47 10.0 26 7.4 58 21.4 53 10.1

Mesita CDP, Cibola County ----------- 4 749 14 922 15 139 12 321 653 297 45.5 129 51.8 95 48.5 – – 56 38.4

Mexican Springs CDP, McKinley County-- 2 918 16 250 15 000 16 250 190 148 77.9 77 78.6 56 80.0 – – 21 75.0

Milan village, Cibola County ---------- 6 324 15 970 17 217 10 326 1 900 674 35.5 320 44.9 218 42.3 26 22.0 145 31.0

Moriarty city, Torrance County -------- 8 424 18 750 22 619 10 263 1 393 287 20.6 106 23.7 74 23.4 49 26.6 69 17.7

Mosquero village ------------------- 10 287 17 000 24 750 10 938 158 22 13.9 5 11.9 37.5 5 10.9 6 14.0

Harding County ------------------ 10 287 17 000 24 750 10 938 158 22 13.9 5 11.9 37.5 5 10.9 6 14.0

San Miguel County---------------- – – – – – – – – – –– –– – –

Mountainair town, Torrance County----- 6 593 13 277 15 192 7 485 904 353 39.0 144 52.9 107 49.5 49 26.1 81 33.8

Nambe CDP, Santa Fe County --------- 12 517 25 972 32 417 13 393 1 246 175 14.0 42 12.7 18 7.1 26 21.0 45 13.5

Naschitti CDP, San Juan County ------- 3 254 16 339 16 339 – 490 381 77.8 101 100.0 34 100.0 28 50.0 53 66.3

Navajo CDP, McKinley County --------- 5 258 19 508 18 283 28 268 1 927 806 41.8 509 54.8 389 57.0 – – 120 31.4

Newcomb CDP, San Juan County------- 4 021 8 612 7 356 25 000 380 242 63.7 85 60.7 64 66.7 38 73.1 60 69.0

North Acomita Village CDP, Cibola

County-------------------------- 5 433 14 821 16 667 5 000– 308 102 33.1 43 43.9 26 35.6 4 16.0 20 28.6

North Valley CDP, Bernalillo County----- 10 932 24 106 27 700 14 009 12 348 1 623 13.1 532 16.1 361 15.1 213 14.8 335 10.1

Ojo Amarillo CDP, San Juan County----- 3 004 11 364 10 739 5 000– 1 045 740 70.8 472 81.2 352 85.6 14 100.0 136 67.7

Paguate CDP, Cibola County ---------- 3 815 11 053 12 237 5 000– 543 309 56.9 116 65.5 106 90.6 59 64.8 70 51.5

Paradise Hills CDP, Bernalillo County ---- 14 861 40 344 42 438 22 073 5 488 254 4.6 97 6.6 85 7.3 – – 52 3.2

Paraje CDP, Cibola County------------ 6 815 20 333 20 750 9 219 532 79 14.8 47 30.3 47 31.8 – – 14 11.9

Pecos village, San Miguel County ------ 8 901 18 372 18 629 17 708 1 032 159 15.4 37 14.2 20 13.2 23 14.8 34 11.9

Pena Blanca CDP, Sandoval County ----- 6 117 16 696 23 000 5 540 344 74 21.5 26 25.0 26 28.6 6 11.8 10 13.9

Penasco CDP, Taos County ----------- 6 061 13 583 17 188 6 611 654 279 42.7 102 44.7 75 45.7 20 41.7 67 40.1

Peralta CDP, Valencia County --------- 13 944 30 929 34 348 17 237 3 158 310 9.8 139 14.7 96 13.4 21 7.0 49 5.6

Placitas CDP, Sandoval County -------- 20 706 47 269 50 140 29 659 1 592 198 12.4 68 19.2 52 19.5 17 11.1 54 10.9

Pojoaque CDP, Santa Fe County ------- 10 976 23 306 24 402 20 724 1 028 149 14.5 45 12.8 31 11.7 21 38.9 37 13.6

Portales city, Roosevelt County -------- 8 375 16 162 19 359 11 010 9 465 3 311 35.0 1 314 47.7 936 48.4 359 26.7 701 28.0

Questa village, Taos County ---------- 6 205 16 549 17 436 8 017 1 674 369 22.0 138 25.8 101 24.6 43 23.1 81 18.3

Ranchos De Taos CDP, Taos County ---- 11 135 15 917 19 375 7 599 1 618 505 31.2 187 39.0 126 34.9 53 44.2 151 31.5

Raton city, Colfax County------------ 9 664 20 246 24 248 10 977 7 259 1 488 20.5 594 28.7 368 23.9 225 17.7 361 17.8

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 41
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Table 10. Income and Poverty Status in 1989: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Median income in 1989 (dollars) Persons for whom poverty status is determined

Income in 1989 below poverty level

All ages Related children

Under 18 years 5 to 17 years

Persons 65 years and

over

Families with income in 1989 below poverty

level

Per capita

income in 1989

(dollars)

Households Families

Nonfamily

households Total Number Percent Number Percent Number Percent Number Percent Number

Percent of all

families

PLACE AND COUNTY SUBDIVISION

mCon.

Red River town, Taos County --------- 15 278 30 179 31 964 12 917 407 37 9.1 13 13.0 9 13.0 – – 11 7.9

Reserve village, Catron County -------- 9 258 25 703 26 133 6 394 317 71 22.4 44.5 46.8 42 76.4 26 26.8

Rio Communities CDP, Valencia County -- 12 914 23 922 30 413 13 403 3 227 419 13.0 123 18.4 89 17.0 71 7.8 103 10.0

Rio Rancho city, Sandoval County ------ 12 345 31 512 33 469 20 502 32 246 1 496 4.6 457 4.7 274 4.3 164 4.3 319 3.4

Roswell city, Chaves County ---------- 10 830 21 870 25 231 12 452 43 422 9 386 21.6 3 755 29.3 2 539 27.4 962 14.3 2 085 17.7

Roy village, Harding County ---------- 8 709 18 906 20 714 7 495 380 38 10.0 12 12.1 68.8 88.3 87.1

Ruidoso village, Lincoln County -------- 11 351 21 224 26 533 10 719 4 502 877 19.5 264 24.0 228 28.3 134 18.7 206 15.2

Ruidoso Downs village, Lincoln County -- 6 648 16 078 18 875 7 298 917 211 23.0 73 28.5 56 32.4 24 18.6 38 15.3

Sandia CDP, Bernalillo County --------- 7 673 21 835 21 722 15 833 5 915 476 8.0 223 9.2 91 6.8 – – 110 6.4

Sandia Heights CDP, Bernalillo County --- 35 602 69 130 75 629 43 702 3 519 81 2.3 81.0 –– –– 15 1.3

San Felipe Pueblo CDP, Sandoval County - 3 920 18 068 17 250 5 000– 1 549 693 44.7 290 46.6 200 46.4 37 55.2 114 43.0

San Ildefonso Pueblo CDP, Santa Fe County-------------------------- 9 337 21 538 21 731 12 813 424 47 11.1 10 6.5 75.8 21 42.0 87.7

San Jon village, Quay County --------- 8 886 16 563 19 625 10 714 269 55 20.4 20 26.3 17 37.0 8 26.7 15 18.1

San Juan CDP, Rio Arriba County ------ 7 342 14 118 16 250 6 783 371 139 37.5 23 32.9 23 53.5 33 48.5 29 32.2

Sanostee CDP, San Juan County ------- 3 587 6 703 7 130 5 000– 657 445 67.7 165 69.0 142 71.0 23 100.0 131 71.2

Santa Ana Pueblo CDP, Sandoval County- 6 597 24 531 25 000 8 559 495 66 13.3 28 16.1 17 15.0 12 35.3 11 10.8

Santa Clara Pueblo CDP, Rio Arriba

County-------------------------- 6 880 16 806 19 545 8 580 1 156 355 30.7 133 33.7 91 31.0 31 33.7 84 28.4

Santa Cruz CDP, Santa Fe County------ 8 952 21 615 21 731 15 179 2 492 502 20.1 206 23.0 141 19.8 38 47.5 141 21.3

Santa Fe city, Santa Fe County-------- 16 554 30 023 36 520 21 401 54 638 6 707 12.3 2 038 16.1 1 274 14.0 849 12.6 1 290 9.2

Santa Rosa city, Guadalupe County----- 6 719 13 955 16 544 6 881 2 233 798 35.7 321 46.1 229 47.5 104 34.2 208 34.0

Santo Domingo Pueblo CDP, Sandoval County-------------------------- 5 292 24 593 23 092 5 000– 2 651 869 32.8 442 43.2 320 44.8 40 30.8 125 36.8

San Ysidro village, Sandoval County ---- 7 895 20 000 20 938 13 750 189 32 16.9 13 23.2 9 21.4 2 13.3 8 15.4

Seama CDP, Cibola County ----------- 5 937 22 708 22 000 5 000– 370 76 20.5 36 31.3 20 23.8 14 29.2 12 15.4

Shiprock CDP, San Juan County ------- 4 767 12 636 14 841 6 363 7 568 3 538 46.7 1 503 49.3 1 017 48.1 128 37.2 790 48.0

Silver City town, Grant County -------- 9 053 19 413 23 226 13 281 10 310 2 477 24.0 1 063 33.4 708 29.7 199 13.2 590 20.6

Skyline-Ganipa CDP, Cibola County ----- 3 926 14 338 12 857 5 854 948 498 52.5 232 57.1 171 52.6 11 29.7 103 54.8

Socorro city, Socorro County --------- 10 255 20 728 26 781 10 990 7 762 2 260 29.1 807 35.7 503 31.2 192 22.4 473 23.0

South Valley CDP, Bernalillo County ---- 8 051 20 949 22 774 10 651 35 391 8 812 24.9 3 676 32.4 2 707 32.8 670 21.5 1 892 21.0

Springer town, Colfax County --------- 9 773 16 182 20 174 7 642 1 216 321 26.4 113 34.9 74 30.1 52 24.8 87 24.9

Sunland Park city, Dona Ana County---- 3 423 12 338 12 434 8 968 8 164 4 325 53.0 2 030 61.1 1 593 63.2 191 55.7 885 50.6

Taos town, Taos County ------------- 10 080 16 605 20 821 11 822 4 019 1 085 27.0 416 38.7 305 36.7 134 23.5 260 23.5

Taos Pueblo CDP, Taos County -------- 4 897 11 985 13 160 5 000– 1 187 502 42.3 177 51.5 126 53.2 61 42.4 114 37.1

Tatum town, Lea County------------- 9 371 23 021 25 417 7 905 768 173 22.5 66 26.9 56 28.7 28 34.6 32 14.6

Tesuque CDP, Santa Fe County -------- 27 930 26 865 38 816 16 389 1 520 167 11.0 49 15.7 30 13.4 12 7.5 23 5.7

Texico city, Curry County ------------ 6 250 14 600 17 250 6 828 955 286 29.9 125 38.2 91 35.1 22 23.9 56 23.5

Tijeras village, Bernalillo County ------- 9 585 30 536 35 156 21 250 316 20 6.3 32.8 33.5 – – 4 5.8

Tohatchi CDP, McKinley County-------- 14 896 33 800 37 946 31 830 705 47 6.7 – – –– 39 100.0 19 10.1

Tome-Adelino CDP, Valencia County----- 9 885 23 625 27 687 6 721 1 572 283 18.0 107 22.7 69 18.3 20 16.4 65 14.7

Truth or Consequences city, Sierra

County-------------------------- 9 302 14 090 18 964 7 108 5 932 1 230 20.7 363 30.8 253 29.2 315 15.5 249 14.4

Tucumcari city, Quay County---------- 8 896 17 143 21 197 9 136 6 720 1 924 28.6 775 41.3 519 37.8 230 22.2 516 26.2

Tularosa village, Otero County -------- 7 401 15 054 17 012 8 381 2 595 809 31.2 331 42.2 236 40.5 44 11.3 183 26.7

University Park CDP, Dona Ana County -- 3 048 10 262 9 300 13 790 2 024 1 326 65.5 447 70.7 244 70.9 – – 277 55.1 Vadito CDP, Taos County ------------ 7 751 15 938 16 750 8 246 290 82 28.3 31 37.3 30 46.9 4 13.8 18 24.0

Valencia CDP, Valencia County -------- 10 425 29 792 33 301 8 050 3 857 565 14.6 220 18.3 123 14.2 67 23.6 113 10.9

Vaughn town, Guadalupe County ------ 7 098 11 705 16 477 5 647 633 234 37.0 71 43.6 63 43.4 22 22.4 66 35.3

Virden village, Hidalgo County--------- 7 635 17 361 23 750 12 321 167 – – – – –– –– – – Wagon Mound village, Mora County ---- 7 980 12 031 22 188 5 000– 339 124 36.6 45 40.5 33 37.1 27 49.1 28 29.8

White Rock CDP, Los Alamos County---- 24 038 63 871 66 481 41 500 6 183 153 2.5 73 4.3 64 4.8 92.4 22 1.2

White Sands CDP, Dona Ana County ---- 8 504 25 342 25 551 17 143 2 310 105 4.5 56 6.2 38 7.1 – – 29 4.3

Willard village, Torrance County ------- 6 841 15 417 20 357 6 829 196 31 15.8 23.4 25.1 11 50.0 8 16.7

Williamsburg village, Sierra County ----- 8 497 14 583 18 359 10 357 461 96 20.8 20 22.5 8 20.0 41 22.4 28 21.1

Zia Pueblo CDP, Sandoval County ------ 4 893 20 000 17 656 20 417 638 213 33.4 85 34.6 61 33.7 22 53.7 47 34.3

Zuni Pueblo CDP, McKinley County ----- 4 533 17 232 16 677 22 500 5 877 2 862 48.7 1 141 55.3 805 55.4 187 51.1 511 43.9

42 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
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Table 11. Structural, Plumbing, and Equipment Characteristics: 1990

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Percent

Year structure built Bedrooms

All housing units

1980 to March

1990 1939 or earlier None or 1 4 or more Condominium

Lacking com- plete plumbing facilities

With public

water system

or private companyWith public

sewer

Lacking complete

kitchen facilities

The State ------------------- 632 058 27.5 8.1 16.6 10.8 1.6 3.2 83.1 71.7 2.9

Bernalillo County ---------------------- 201 235 25.7 4.7 20.0 13.3 2.2 .5 94.3 90.9 .5

Albuquerque division ----------------- 195 070 25.1 4.7 20.2 13.4 2.3 .3 96.0 93.4 .4

Albuquerque city (pt.) -------------- 166 870 25.1 4.5 22.0 13.0 2.6 .3 99.7 99.3 .4

Corrales village (pt.) --------------- 239 20.1 6.7 5.0 31.4 – – 1.7 – – Los Ranchos de Albuquerque village ---- 1 581 14.1 6.5 11.1 25.0 – .5 82.2 29.3 – North Valley CDP------------------ 4 819 26.0 8.2 10.5 13.4 – .7 81.8 36.9 .7

Paradise Hills CDP ----------------- 1 950 23.9 – 1.2 25.1 .6 – 100.0 100.0 – Sandia CDP ---------------------- 1 860 5.9 2.8 3.6 13.6 – .6 99.5 98.2 .6

Sandia Heights CDP ---------------- 1 420 61.8 – .4 41.1 3.8 – 98.5 32.0 – South Valley CDP------------------ 12 226 15.6 8.2 12.6 12.4 .1 .8 68.0 69.1 .8

Bernalillo East division ---------------- 5 089 48.2 4.3 10.4 13.0 .2 3.5 30.6 .8 3.0

Tijeras village--------------------- 145 35.9 6.2 9.7 12.4 – 6.9 9.7 7.6 5.5

Bernalillo West division --------------- 305 47.9 .7 41.3 4.6 – 30.5 70.2 24.9 17.4

Albuquerque city (pt.) -------------- – –––––––– – Isleta Pueblo division ----------------- 771 14.0 30.5 24.3 8.8 – 2.6 97.7 75.2 1.8

Isleta Pueblo CDP (pt.) ------------- 519 9.4 43.7 32.0 8.5 – 2.5 98.8 86.1 1.7

Catron County ------------------------ 1 552 24.2 16.2 15.2 6.9 – 10.1 27.4 13.9 4.4

Quemado division ------------------- 527 29.0 19.0 17.3 7.6 – 16.5 24.7 12.7 5.3

Reserve division --------------------- 1 025 21.8 14.8 14.1 6.5 – 6.7 28.9 14.4 3.9

Reserve village-------------------- 125 9.6 12.0 10.4 3.2 – – 92.0 88.8 –

Chaves County------------------------ 23 386 19.0 9.0 11.4 8.4 .7 .8 89.5 80.9 1.0

Dexter division --------------------- 806 35.7 20.1 6.7 10.4 – 2.9 64.4 51.6 3.7

Dexter town --------------------- 348 36.8 15.2 4.3 11.5 – – 100.0 98.3 –

Hagerman division ------------------- 844 25.6 16.7 7.3 6.8 – 4.4 75.5 46.6 3.7

Hagerman town------------------- 398 22.9 16.8 7.0 6.8 – 3.0 100.0 94.7 2.0

Lake Arthur town ----------------- 129 17.8 16.3 10.1 11.6 – 1.6 91.5 – –

Northeast Chaves division ------------- 60 – 11.7 11.7 40.0 –––– –

Northwest Chaves division ------------- 956 36.5 10.8 6.3 14.5 – 2.2 61.6 – 1.3

Roswell city (pt.)------------------ 6 –––––– 100.0 – –

Roswell division --------------------- 18 259 16.8 7.9 12.6 8.0 .9 .5 97.8 94.5 .6

Roswell city (pt.)------------------ 17 402 16.5 7.9 13.0 7.9 .9 .5 99.3 98.4 .6

Southeast Chaves division ------------- 533 26.1 28.5 8.4 15.6 – .9 36.4 – 3.9

Southwest Chaves division ------------- 1 928 19.9 5.4 6.9 6.0 – 1.2 58.0 44.8 1.0

Roswell city (pt.)------------------ 834 5.3 3.2 1.8 5.9 – – 100.0 98.6 2.3

Cibola County ------------------------ 9 692 16.3 6.8 20.0 9.1 – 10.8 79.5 65.5 10.0

Fence Lake division ------------------ 73 46.6 16.4 15.1 – – 41.1 37.0 – 37.0

Grants division---------------------- 7 332 13.8 4.3 16.3 9.0 – 7.4 80.9 68.4 6.8

Acomita Lake CDP ----------------- 86 22.1 10.5 17.4 11.6 – 11.6 97.7 25.6 5.8

Grants city ---------------------- 3 532 8.8 1.6 13.3 10.1 – .9 98.1 96.7 1.5

Milan village --------------------- 735 12.2 .3 13.5 5.4 – .7 97.6 95.6 .5

North Acomita Village CDP----------- 121 18.2 6.6 8.3 2.5 – 9.9 85.1 73.6 12.4

Skyline-Ganipa CDP ---------------- 200 39.5 – 4.0 26.0 – 6.5 99.0 78.0 1.0

Laguna division --------------------- 1 525 12.5 20.5 23.2 11.9 – 10.4 94.4 77.6 8.3

Laguna CDP---------------------- 169 20.1 33.1 24.3 3.6 – 12.4 100.0 80.5 14.8

Mesita CDP ---------------------- 172 4.7 23.3 20.3 9.9 – 8.7 96.5 79.1 – Paguate CDP --------------------- 216 4.2 33.8 8.8 9.3 – 9.3 96.3 70.4 13.9

Paraje CDP ---------------------- 229 6.6 20.1 27.9 12.2 – 11.4 94.8 89.5 5.7

Seama CDP ---------------------- 136 5.1 7.4 22.1 8.8 – 3.7 100.0 95.6 3.7

Zuni-Ramah Navajo division ------------ 762 45.0 3.1 49.5 5.1 – 41.5 39.5 20.1 41.2

Colfax County ------------------------ 8 265 18.6 25.9 11.9 11.7 3.9 .8 83.1 72.4 1.5

Cimarron division -------------------- 3 152 28.8 22.2 10.9 13.4 9.6 1.0 68.4 56.3 1.7

Angel Fire village ------------------ 625 5.9 28.8 1.3 5.9 44.2 – 99.4 99.4 .3

Cimarron village------------------- 408 16.9 31.1 12.0 12.5 – 2.0 96.8 84.1 1.2

Eagle Nest village ----------------- 140 34.3 17.9 30.0 2.1 – – 87.9 75.0 – Raton division ---------------------- 4 024 12.7 28.1 13.0 11.1 .6 .6 94.0 86.4 1.3

Maxwell village (pt.) --------------- – –––––––– – Raton city ----------------------- 3 502 10.6 29.6 14.4 10.7 .7 .6 99.5 96.9 1.4

Springer division -------------------- 1 089 11.0 28.7 10.7 8.8 – .9 85.4 67.5 1.8

Maxwell village (pt.) --------------- 144 11.1 22.2 18.8 9.0 – – 100.0 93.1 – Springer town -------------------- 591 7.8 24.5 11.0 10.5 – .7 99.7 95.4 1.2

Curry County ------------------------- 16 906 15.1 9.3 11.8 9.9 1.2 .4 91.1 86.1 1.0

Broadview division ------------------- 202 11.9 25.7 – 11.4 – – 9.4 4.5 1.5

Grady village --------------------- 48 12.5 16.7 – 16.7 – – 39.6 – –

Clovis division ---------------------- 16 137 15.0 8.7 12.0 9.7 1.2 .4 93.2 88.3 .9

Cannon AFB CDP ------------------ 759 – .9 – 19.4 5.3 – 98.9 98.9 –

Clovis city ----------------------- 12 978 12.5 9.4 13.8 7.2 1.2 .4 99.8 97.8 .7

Texico city----------------------- 379 32.5 7.4 9.5 7.1 – .5 96.3 83.1 .5

Melrose division--------------------- 567 20.6 20.8 9.0 13.8 – – 62.4 52.2 4.8

Melrose village ------------------- 356 16.6 20.8 9.6 11.5 – – 95.5 83.1 –

DeBaca County ----------------------- 1 329 17.3 32.1 15.3 8.4 – 3.5 70.2 54.2 5.0

East De Baca division ---------------- 1 066 15.9 36.5 14.2 9.1 – 2.9 83.2 66.4 4.0

Fort Sumner village ---------------- 692 12.6 39.0 17.6 8.8 – 2.2 99.6 96.7 3.0

West De Baca division ---------------- 263 22.8 14.1 20.2 5.7 – 6.1 17.5 4.6 8.7

Dona Ana County --------------------- 49 148 36.2 7.0 13.0 10.6 1.1 .8 86.2 64.9 .8

Anthony division -------------------- 5 292 43.5 7.0 9.8 7.6 – 1.8 78.8 23.8 1.9

Anthony CDP --------------------- 1 362 36.7 10.4 12.7 7.7 – 1.5 95.4 75.6 1.2

Chaparral CDP -------------------- 1 039 39.9 2.0 8.7 7.5 – .6 98.7 .7 1.4

Dona Ana-Hill division ---------------- 5 701 52.0 2.4 3.3 8.7 – .1 86.6 23.4 .4

Dona Ana CDP-------------------- 288 37.2 8.0 12.8 8.3 – – 95.1 5.6 –

Las Cruces city (pt.) --------------- 1 250 76.0 – 3.6 5.8 – – 94.8 63.7 .3

Fairacres division -------------------- 1 347 46.2 4.2 5.6 12.8 1.9 1.5 50.6 13.4 1.1

Mesilla town (pt.) ----------------- 3 33.3 – 100.0 ––– 66.7 – –

Hatch division ---------------------- 1 447 21.8 32.0 15.5 6.5 – 3.0 91.7 40.9 2.3

Hatch village --------------------- 492 18.1 38.4 15.4 6.1 – 1.6 98.4 91.3 1.6

Las Cruces division------------------- 29 889 31.9 6.5 16.0 11.6 1.5 .4 92.6 84.6 .5

Las Cruces city (pt.) --------------- 24 426 30.6 5.9 18.0 10.8 1.7 .4 97.6 93.9 .3

Mesilla town (pt.) ----------------- 784 15.9 30.5 10.5 21.9 – – 77.4 77.4 .3

University Park CDP ---------------- 647 19.5 .6 9.1 17.3 4.8 – 100.0 100.0 –

South Dona Ana division -------------- 4 748 41.8 9.7 12.0 11.6 .6 2.3 60.5 54.4 1.3

Sunland Park city------------------ 1 959 44.6 1.8 17.0 10.1 .4 2.7 98.9 97.9 1.1

White Sands division ----------------- 724 7.5 – 5.8 3.3 2.1 1.9 94.1 90.6 – White Sands CDP------------------ 724 7.5 – 5.8 3.3 2.1 1.9 94.1 90.6 –

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 43
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 44

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 11. Structural, Plumbing, and Equipment Characteristics: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Percent

Year structure built Bedrooms

All housing units

1980 to March

1990 1939 or earlier None or 1 4 or more Condominium

Lacking com- plete plumbing facilities

With public

water system

or private companyWith public

sewer

Lacking complete

kitchen facilities

Eddy County ------------------------- 20 134 18.8 8.1 11.0 7.3 .8 .6 93.7 75.2 .6

Artesia division --------------------- 6 059 22.5 7.4 9.6 8.4 – .8 91.1 72.1 .3

Artesia city ---------------------- 4 510 17.9 7.9 11.1 7.9 – .5 96.6 93.6 .1

Hope village --------------------- 57 14.0 29.8 5.3 14.0 – – 87.7 – –

Carlsbad division -------------------- 13 175 16.6 8.2 11.8 6.9 1.2 .4 94.7 77.9 .7

Carlsbad city --------------------- 10 547 12.2 8.5 13.2 5.9 1.5 .4 98.8 95.8 .9

Carlsbad North CDP ---------------- 498 30.3 6.8 6.8 19.3 – – 100.0 9.4 –

Loco Hills division ------------------- 166 45.8 3.0 6.6 – – 3.0 92.8 24.1 4.2

Loving division---------------------- 734 21.3 13.4 10.1 7.9 – .8 97.3 64.3 –

Loving village--------------------- 479 15.4 7.9 11.1 10.0 – – 100.0 97.3 –

Grant County------------------------- 11 349 23.0 18.5 13.1 8.3 .1 2.1 75.4 62.3 1.6

Bayard-Santa Rita division ------------- 1 437 16.8 24.1 13.1 9.0 – 2.6 81.1 72.0 2.3

Bayard city ---------------------- 1 002 15.0 15.3 10.8 9.2 – 1.0 99.2 99.2 1.8

Hurley town (pt.) ----------------- – –––––––– – Central division --------------------- 1 195 17.1 24.9 18.7 10.4 – 4.2 81.7 66.9 3.4

Central village -------------------- 700 14.7 24.9 15.7 7.1 – 1.1 99.6 96.3 .7

Hurley division ---------------------- 788 12.3 44.8 10.0 7.7 1.0 .8 88.8 79.4 2.0

Hurley town (pt.) ----------------- 623 9.6 48.6 8.8 7.1 1.3 .6 100.0 99.5 2.2

Mimbres division -------------------- 547 36.0 10.2 19.9 3.5 – 8.4 11.2 – 8.0

Pinos Altos division ------------------ 547 28.3 24.7 10.4 8.8 – 8.6 17.0 4.4 2.7

Silver City division ------------------- 5 998 25.1 13.1 11.5 8.9 – .8 87.8 71.9 .6

Silver City town------------------- 4 255 21.8 16.9 13.8 8.4 – .4 98.0 94.9 .7

Tyrone division --------------------- 837 25.0 14.5 17.7 3.5 – – 34.9 32.9 –

Guadalupe County --------------------- 2 149 16.4 29.5 12.1 10.5 – .6 86.6 66.2 .2

Dilia division ----------------------- 351 16.0 39.0 10.0 9.7 – 2.0 78.3 4.3 –

Santa Rosa division ------------------ 1 357 19.4 26.2 13.8 10.7 – .3 88.7 75.6 .3

Santa Rosa city ------------------- 987 19.8 24.0 16.0 10.0 – .4 98.8 94.3 .4

Vaughn division --------------------- 441 7.5 32.2 8.8 10.7 – .5 86.4 86.4 –

Vaughn town--------------------- 380 5.0 33.2 10.3 10.5 – – 98.9 97.9 –

Harding County ----------------------- 614 8.6 48.0 8.5 12.9 – 4.9 50.8 32.4 8.3

North Harding division ---------------- 501 8.8 48.5 6.4 12.6 – 4.4 62.3 39.7 4.8

Mosquero village (pt.)-------------- 94 5.3 50.0 14.9 6.4 – 8.5 100.0 – 5.3

Roy village ---------------------- 208 12.0 48.1 5.8 12.5 – – 96.2 93.3 –

South Harding division ---------------- 113 8.0 46.0 17.7 14.2 – 7.1 – – 23.9

Hidalgo County ----------------------- 2 413 15.7 13.6 16.9 7.8 – .4 67.2 63.2 .7

North Hidalgo division ---------------- 1 934 17.6 14.6 18.1 9.2 – .5 67.3 65.1 .7

Lordsburg city -------------------- 1 216 10.1 17.8 17.4 8.3 – .4 99.3 99.3 .4

Virden village--------------------- 54 9.3 31.5 9.3 33.3 –––– – South Hidalgo division ---------------- 479 8.4 9.4 11.7 2.5 – – 66.8 55.3 .8

Lea County -------------------------- 23 333 21.2 4.0 11.5 8.3 .6 .9 80.9 78.8 1.7

Eunice division ---------------------- 1 283 15.9 11.0 10.2 7.8 .8 .4 93.9 88.5 –

Eunice city----------------------- 1 152 16.2 9.8 9.2 7.7 .9 .4 99.1 97.0 –

Hobbs division ---------------------- 15 395 24.6 2.6 12.1 8.8 .8 .6 80.9 79.2 1.7

Hobbs city----------------------- 12 327 20.3 2.7 13.4 8.6 .8 .6 98.4 96.8 1.9

Jal division ------------------------ 1 102 13.7 8.1 3.7 8.0 – 2.0 93.9 91.8 2.8

Jal city ------------------------- 1 023 13.5 7.1 3.4 7.3 – 1.5 98.9 98.7 2.2

Lovington division ------------------- 4 847 14.5 5.4 12.0 7.0 – 1.7 78.0 75.7 1.5

Lovington city -------------------- 3 688 9.1 5.8 13.2 5.3 – 1.4 97.6 96.9 1.5

Tatum division ---------------------- 706 14.6 5.8 10.8 7.4 1.6 1.7 55.5 52.5 3.7

Tatum town---------------------- 385 16.9 5.2 13.5 5.5 2.9 2.3 95.8 93.8 6.0

Lincoln County ------------------------ 12 622 32.4 8.5 11.5 11.2 3.5 1.4 81.2 62.7 1.1

Capitan division --------------------- 1 282 38.1 21.6 9.0 7.2 – 1.6 59.8 34.5 1.6

Capitan village-------------------- 545 35.4 13.8 8.8 5.1 – .6 97.8 63.1 .6

Ruidoso village (pt.) --------------- – –––––––– –

Carrizozo division ------------------- 695 19.1 33.5 15.0 7.1 – 2.3 79.3 75.4 2.4

Carrizozo town ------------------- 572 15.9 36.2 15.4 8.2 – 1.0 93.2 89.5 .9

Corona division --------------------- 295 26.1 28.8 19.3 6.4 – 4.1 52.5 5.4 4.1

Corona village -------------------- 125 21.6 35.2 20.0 4.0 – 6.4 96.0 3.2 –

Hondo division---------------------- 467 29.1 34.7 18.8 7.1 – 5.1 – – 5.1

Ruidoso division--------------------- 9 883 33.0 3.3 11.0 12.4 4.5 1.0 88.8 70.1 .7

Ruidoso village (pt.) --------------- 6 677 28.8 3.1 10.7 11.4 4.9 .4 97.0 80.8 .3

Ruidoso Downs village -------------- 622 22.3 5.5 13.0 3.5 – 1.3 93.7 81.8 1.4

Los Alamos County -------------------- 7 565 14.1 .4 11.2 26.9 6.3 – 99.8 97.5 .1

Los Alamos division ------------------ 5 327 15.6 .5 15.6 23.1 8.0 – 99.7 98.9 .1

Los Alamos CDP ------------------ 5 159 15.2 .6 15.6 23.7 8.3 – 99.7 99.1 .1

White Rock division ------------------ 2 238 10.5 – .6 36.0 2.3 – 100.0 94.0 – White Rock CDP------------------- 2 198 10.2 – – 36.7 2.3 – 100.0 94.2 –

Luna County ------------------------- 7 766 25.9 8.5 18.7 8.1 .4 1.7 67.5 58.3 1.3

Deming North division ---------------- 5 932 22.9 8.9 18.4 7.7 .5 1.4 80.8 75.2 1.0

Deming city (pt.)------------------ 4 487 20.6 10.3 19.5 7.4 .6 1.3 98.6 95.1 .9

Deming South division ---------------- 1 834 35.8 7.1 19.7 9.2 – 2.8 24.4 3.8 2.3

Columbus village ------------------ 313 36.7 8.0 27.5 3.8 – 1.9 97.8 4.8 1.3

Deming city (pt.)------------------ – –––––––– –

McKinley County ---------------------- 20 933 32.8 5.5 35.6 8.4 – 30.4 76.6 57.1 27.1

Crownpoint division ------------------ 1 928 38.1 6.1 55.3 4.8 – 49.2 70.1 39.9 43.9

Crownpoint CDP------------------- 701 35.8 8.3 32.2 8.8 – 9.1 98.6 87.4 6.7

Gallup division ---------------------- 7 347 24.4 7.3 16.9 11.1 – 2.0 94.4 93.9 2.9

Gallup city (pt.)------------------- 6 665 23.8 7.8 16.5 11.5 – .3 99.2 99.3 1.2

Red Rock division-------------------- 6 624 42.2 2.0 52.5 3.9 – 57.2 56.3 20.9 51.6

Gallup city (pt.)------------------- 41 31.7 – 87.8 – – 87.8 70.7 34.1 58.5

Reservation division ------------------ 3 174 35.9 4.2 45.4 3.3 – 41.0 72.5 40.0 32.5

Mexican Springs CDP--------------- 56 16.1 –––– 7.1 92.9 91.1 7.1

Navajo CDP ---------------------- 586 41.1 – 33.1 – – 13.1 90.4 85.8 16.6

Tohatchi CDP --------------------- 347 17.9 3.2 27.7 7.2 – 19.6 90.5 74.4 11.8

Zuni division ----------------------- 1 860 22.0 12.7 11.5 25.5 – 9.6 91.8 88.2 8.5

Black Rock CDP ------------------- 229 19.2 15.7 – 22.3 – – 97.4 92.6 –

Zuni Pueblo CDP ------------------ 1 404 20.2 14.0 10.8 24.7 – 7.9 95.5 91.9 6.8

Mora County ------------------------- 2 486 16.6 32.0 17.2 11.5 – 9.5 51.1 14.7 5.9

Mora division ---------------------- 1 818 18.2 25.6 19.7 9.5 – 9.6 52.2 8.9 6.1

Wagon Mound division --------------- 668 12.4 49.3 10.3 17.1 – 9.0 48.1 30.7 5.4

Wagon Mound village -------------- 215 11.2 59.1 7.4 21.4 – 2.3 95.8 88.8 2.3

44 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 45

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 11. Structural, Plumbing, and Equipment Characteristics: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Percent

Year structure built Bedrooms

All housing units

1980 to March

1990 1939 or earlier None or 1 4 or more Condominium

Lacking com- plete plumbing facilities

With public

water system

or private companyWith public

sewer

Lacking complete

kitchen facilities

Otero County------------------------- 23 177 28.3 6.3 9.2 10.9 .8 1.7 80.7 67.6 1.1

Alamogordo division ----------------- 15 963 25.5 3.5 9.0 10.4 1.0 .6 91.0 83.5 .7

Alamogordo city ------------------ 11 974 24.9 4.1 10.0 9.4 1.1 .3 98.9 97.7 .5

Boles Acres CDP ------------------ 627 45.5 – 3.7 11.2 – .6 66.5 – –

Holloman AFB CDP----------------- 1 410 2.7 1.7 6.5 21.5 1.7 – 98.9 96.2 –

La Luz CDP (pt.) ------------------ 659 36.0 3.2 1.8 9.6 – 3.2 89.1 22.2 3.2

Mescalero division ------------------- 727 34.5 19.7 10.3 19.9 – 1.1 88.4 62.2 .7

Mescalero CDP ------------------- 337 20.8 21.4 18.1 20.5 – .6 94.1 72.4 –

Southeast Otero division -------------- 4 403 37.0 12.1 9.0 12.6 .6 5.2 50.9 21.8 1.9

Cloudcroft village------------------ 789 32.3 27.0 9.4 15.7 3.3 1.0 95.1 87.8 1.1

La Luz CDP (pt.) ------------------ – –––––––– –

Tularosa division -------------------- 2 084 29.1 11.8 11.4 8.2 – 3.2 62.4 45.0 2.6

Tularosa village ------------------- 1 162 23.9 16.7 12.7 8.2 – 3.4 99.5 78.6 2.9

Quay County ------------------------- 5 576 19.7 16.5 11.1 7.0 – 2.5 82.8 61.9 2.7

House-Forrest division ---------------- 239 15.9 22.2 2.9 7.1 – .4 13.8 2.5 1.3

House village --------------------- 54 7.4 20.4 5.6 ––– 48.1 11.1 – Logan-Nara Visa division -------------- 1 029 29.3 9.6 10.6 6.7 – 2.7 77.9 19.6 2.3

Logan village --------------------- 860 32.4 6.3 11.7 4.4 – 1.4 85.8 23.3 .9

San Jon division -------------------- 325 22.5 24.3 6.5 8.6 – 3.1 48.3 42.5 1.8

San Jon village ------------------- 128 26.6 18.8 7.8 1.6 – 6.3 100.0 100.0 4.7

Tucumcari division ------------------- 3 983 17.2 17.3 12.1 7.0 – 2.5 91.0 78.0 3.0

Tucumcari city -------------------- 3 164 14.1 20.0 14.2 6.8 – 2.1 99.7 97.3 2.7

Rio Arriba County --------------------- 14 357 27.2 14.5 12.2 9.6 – 6.7 47.7 29.9 5.5

Chimayo division -------------------- 1 483 25.6 23.7 12.2 8.2 – 11.2 23.9 10.5 9.7

Chimayo CDP (pt.)----------------- 854 26.8 13.8 15.1 8.2 – 2.3 1.5 1.2 1.5

Coyote division --------------------- 666 30.6 6.9 8.4 6.9 – 26.1 42.5 – 19.5

Dixon division ---------------------- 592 20.9 32.4 13.3 7.9 – 14.4 34.6 – 14.4

Jicarilla division --------------------- 867 41.2 5.5 23.6 6.6 – 6.9 87.9 80.5 6.6

Dulce CDP (pt.) ------------------- 771 42.8 6.2 20.4 6.6 – 3.1 95.3 89.1 3.1

Rio Chama division ------------------ 961 26.0 19.9 13.8 9.1 – 6.6 36.1 4.6 1.2

San Juan Pueblo division -------------- 1 876 28.7 14.0 10.2 8.9 – 4.8 37.0 26.5 3.6

Alcalde CDP---------------------- 119 25.2 18.5 14.3 1.7 – 6.7 42.9 2.5 5.0

Espanola city (pt.)----------------- 285 34.7 8.8 3.2 7.0 – 2.8 54.0 64.6 2.8

San Juan CDP -------------------- 156 20.5 32.7 16.7 5.1 – 5.1 96.2 67.3 .6

Santa Clara division ------------------ 3 097 29.9 7.3 12.8 8.1 .2 1.3 60.9 62.4 1.5

Espanola city (pt.)----------------- 1 645 26.9 8.7 17.2 7.4 .3 1.2 87.1 91.7 1.4

Santa Clara Pueblo CDP ------------- 431 19.7 10.4 8.4 7.9 – 2.8 83.8 79.1 2.8

South Rio Arriba division -------------- 2 317 33.1 9.7 9.2 8.4 – 3.7 31.4 20.5 3.2

Espanola city (pt.)----------------- 531 24.3 6.2 8.7 7.5 – 1.7 70.1 77.6 1.7

Tierra Amarilla division---------------- 1 996 15.7 20.7 9.1 16.0 – 4.6 65.4 23.4 3.2

Chama village -------------------- 572 17.8 14.7 9.3 15.4 – 4.0 68.9 66.8 2.3

Dulce CDP (pt.) ------------------- – –––––––– –

Vallecitas division ------------------- 320 6.3 33.4 24.7 8.8 – 33.1 56.9 4.7 25.0

Western Rio Arriba division ------------ 182 15.4 12.6 15.4 30.2 – – 58.2 – 15.4

Roosevelt County---------------------- 6 902 16.0 11.0 12.8 8.2 – .5 78.7 65.7 .8

Dora division ----------------------- 305 8.9 27.2 – 9.8 – – 26.2 – 3.3

Causey village -------------------- 29 13.8 10.3 –––– 89.7 – –

Dora village (pt.)------------------ 66 3.0 21.2 – 3.0 – – 63.6 – –

Elida division ----------------------- 602 11.8 24.6 6.5 15.9 – – 28.4 1.2 –

Elida town ----------------------- 121 9.9 30.6 8.3 7.4 – – 86.8 5.8 –

Floyd village --------------------- 57 7.0 19.3 8.8 21.1 – – 31.6 – –

Portales division--------------------- 5 995 16.8 8.8 14.1 7.4 – .6 86.5 75.5 .8

Dora village (pt.)------------------ – –––––––– –

Portales city --------------------- 4 277 12.0 8.7 17.6 6.0 – .7 99.9 98.4 .9

Sandoval County ---------------------- 23 667 52.4 5.2 12.1 8.4 2.3 5.6 79.8 63.1 5.0

Bernalillo division -------------------- 18 122 59.0 3.0 6.7 8.5 2.8 .9 82.0 69.7 .7

Bernalillo town ------------------- 2 179 33.1 9.6 13.1 9.2 .6 1.8 81.9 73.6 2.5

Corrales village (pt.) --------------- 1 969 41.2 6.2 9.8 16.9 2.7 .8 4.7 4.9 .5

Placitas CDP --------------------- 674 62.9 7.1 11.1 12.5 3.0 4.6 26.7 3.9 .9

Rio Rancho city ------------------- 12 325 68.7 – 4.5 6.5 3.4 .1 99.7 86.5 .1

San Felipe Pueblo CDP (pt.) ---------- – –––––––– –

Santa Ana Pueblo CDP (pt.)---------- 143 23.8 16.1 20.3 13.3 – 18.2 99.3 86.7 11.9

Cuba division ----------------------- 2 156 39.7 5.2 43.1 5.9 .5 41.0 60.8 24.0 37.8

Cuba village---------------------- 356 31.5 11.2 25.3 9.3 – 2.2 97.2 87.6 2.8

Jemez division ---------------------- 1 760 24.1 15.2 19.1 10.6 – 7.2 69.0 39.1 5.7

Jemez Pueblo CDP ----------------- 349 8.6 22.3 29.5 9.2 – 10.6 93.1 90.0 6.3

Jemez Springs village -------------- 227 30.0 13.2 17.2 11.0 – 3.1 85.9 51.5 3.1

San Ysidro village ----------------- 86 29.1 36.0 8.1 5.8 – 10.5 91.9 8.1 7.0

Zia Pueblo CDP ------------------- 170 24.7 12.4 27.1 8.2 – 9.4 92.4 88.2 10.0

Santo Domingo division --------------- 1 629 26.5 18.8 22.3 7.7 1.4 9.5 92.4 67.5 9.1

Cochiti CDP ---------------------- 207 9.2 22.2 18.8 15.5 – 2.9 100.0 90.8 2.9

Pena Blanca CDP ------------------ 102 25.5 49.0 10.8 9.8 – 4.9 82.4 22.5 4.9

San Felipe Pueblo CDP (pt.) ---------- 321 28.7 8.1 30.2 2.8 – 12.8 96.9 65.4 13.1

Santa Ana Pueblo CDP (pt.)---------- – –––––––– –

Santo Domingo Pueblo CDP ---------- 407 18.9 34.4 26.8 6.9 – 5.9 92.4 85.7 4.2

San Juan County ---------------------- 34 248 28.9 2.8 19.2 9.2 .9 10.5 85.4 58.2 10.0

Aztec division ---------------------- 5 082 28.8 5.6 10.9 9.5 – .5 77.2 44.0 .5

Aztec city ----------------------- 2 158 24.3 7.6 15.9 7.3 – .6 96.8 94.5 1.0

Farmington city (pt.) --------------- 54 29.6 – 20.4 ––– 100.0 66.7 –

Flora Vista CDP ------------------- 360 26.4 – 2.8 10.0 – – 70.0 6.1 –

Bloomfield division------------------- 3 985 33.3 2.0 12.9 7.4 – 4.7 83.9 47.6 4.2

Bloomfield city (pt.) --------------- 1 846 30.1 .8 10.3 7.7 – .9 98.0 89.6 1.1

Burnham division -------------------- 1 218 24.4 1.9 30.5 8.9 .6 28.4 80.5 22.3 27.4

Ojo Amarillo CDP------------------ 211 3.8 – 8.1 31.3 – 4.7 100.0 88.2 4.7

Farmington division ------------------ 15 802 26.5 1.6 10.3 12.0 1.3 .2 97.0 80.5 .4

Farmington city (pt.) --------------- 13 065 23.9 1.1 10.5 11.9 1.6 .1 99.1 95.0 .3

Kirtland CDP --------------------- 1 128 41.7 4.6 10.0 9.6 – .8 94.7 4.1 .8

Naschitti division -------------------- 1 115 30.6 .6 59.9 2.9 – 59.6 60.2 15.8 57.5

Naschitti CDP--------------------- 111 8.1 – 58.6 – – 31.5 75.7 55.9 19.8

Shiprock-Sanostee division ------------- 5 282 29.5 5.7 44.3 2.5 1.8 30.9 72.0 42.6 28.2

Newcomb CDP -------------------- 152 58.6 5.3 35.5 3.3 13.8 16.4 79.6 40.8 19.1

Sanostee CDP -------------------- 184 43.5 3.3 39.7 – – 29.3 70.7 26.6 32.6

Shiprock CDP--------------------- 2 221 25.3 2.2 26.3 2.3 1.5 15.0 92.2 75.0 9.5

Simpson-Chaco division --------------- 1 764 40.7 1.2 28.7 11.6 – 39.7 68.5 21.0 40.1

Bloomfield city (pt.) --------------- – –––––––– – Farmington city (pt.) --------------- – –––––––– –

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 45
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 46

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 11. Structural, Plumbing, and Equipment Characteristics: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Percent

Year structure built Bedrooms

All housing units

1980 to March

1990 1939 or earlier None or 1 4 or more Condominium

Lacking com- plete plumbing facilities

With public

water system

or private companyWith public

sewer

Lacking complete

kitchen facilities

San Miguel County -------------------- 11 066 21.9 22.5 17.4 9.3 .2 6.0 77.2 58.4 3.4

Conchas Dam division ---------------- 490 8.4 18.6 13.1 11.8 – 3.1 69.8 18.8 5.9

Mosquero village (pt.)-------------- – –––––––– –

Las Vegas division ------------------- 7 866 20.0 22.5 17.1 9.7 .2 3.1 88.0 76.0 1.9

Las Vegas city-------------------- 5 716 15.3 26.3 20.3 10.1 .3 1.3 99.7 97.2 .8

Pecos division ---------------------- 1 793 34.9 19.1 17.3 6.5 – 14.1 49.5 20.4 6.2

Pecos village --------------------- 448 30.1 21.7 7.1 6.5 – 2.2 89.3 67.0 1.6

Trementina division ------------------ 231 12.6 25.1 35.1 – – 16.5 10.8 – 6.9

Villanueva division ------------------- 686 21.4 32.9 17.5 12.5 – 17.3 52.3 4.4 10.2

Santa Fe County ---------------------- 41 464 34.7 10.4 17.3 11.0 4.0 1.5 74.6 65.6 .8

Santa Fe division -------------------- 27 174 31.2 11.4 20.0 10.6 6.1 .5 92.9 89.9 .4

Agua Fria CDP -------------------- 1 299 55.5 5.2 8.7 7.2 – 2.5 71.2 68.2 1.2

Santa Fe city (pt.)----------------- 24 706 28.6 12.1 20.7 10.5 6.7 .3 96.3 93.7 .4

Tesuque CDP (pt.) ----------------- – –––––––– – Santa Fe North division --------------- 6 322 31.0 13.4 12.3 12.4 .4 2.7 30.4 22.6 1.8

Chimayo CDP (pt.)----------------- 257 25.7 26.8 13.2 5.1 – 14.4 33.9 – 9.3

Cuyamungue CDP------------------ 124 35.5 12.1 9.7 7.3 –––– – Espanola city (pt.)----------------- 929 30.5 10.2 10.1 9.5 – 1.4 75.3 79.7 .6

Jaconita CDP --------------------- 149 16.1 8.1 13.4 5.4 ––– 5.4 – Nambe CDP ---------------------- 514 26.8 17.7 11.3 15.0 – .4 22.0 10.5 1.0

Pojoaque CDP -------------------- 402 47.3 10.0 5.7 10.7 – .7 48.3 51.5 – San Ildefonso Pueblo CDP ----------- 177 32.8 13.6 8.5 33.9 – – 67.2 55.4 – Santa Cruz CDP------------------- 930 32.7 6.6 9.8 10.3 – 1.7 21.1 1.8 2.5

Santa Fe city (pt.)----------------- 24 58.3 41.7 29.2 ––– 70.8 29.2 – Tesuque CDP (pt.) ----------------- 752 21.0 20.9 20.1 15.8 – 4.8 8.0 3.7 3.2

Santa Fe South division --------------- 7 968 49.6 4.6 12.4 11.3 – 4.1 47.0 17.0 1.7

Edgewood CDP (pt.) --------------- 1 104 60.9 1.5 2.4 7.4 – .8 78.8 .5 – Eldorado at Santa Fe CDP ----------- 916 83.5 – 5.5 9.8 – – 76.0 3.3 – La Cienega CDP ------------------- 391 26.1 11.3 15.6 14.8 – 2.6 21.0 – 2.6

Santa Fe city (pt.)----------------- 52 32.7 – 51.9 28.8 – – 19.2 11.5 –

Sierra County ------------------------ 6 457 29.3 10.6 25.0 4.2 – 1.2 76.6 58.5 1.0

Truth or Consequences East division ------ 5 237 29.2 7.3 25.7 3.7 – .5 91.6 71.8 .3

Truth or Consequences city ---------- 3 652 22.2 9.5 30.4 4.2 – .7 94.8 89.5 .4

Williamsburg village ---------------- 265 12.5 5.7 7.5 4.5 – – 98.9 98.9 –

Truth or Consequences West division ----- 1 220 29.8 25.1 22.3 6.5 – 4.4 12.6 1.5 4.0

Socorro County ----------------------- 6 289 29.8 16.5 17.1 7.7 – 5.4 79.2 57.6 4.2

Claunch division --------------------- 47 – 70.2 10.6 34.0 – – 8.5 8.5 –

Magdalena division ------------------ 1 105 25.5 27.6 21.7 9.0 – 11.6 62.5 37.1 9.1

Magdalena village ----------------- 440 15.2 52.3 9.3 12.0 – 2.5 92.3 81.8 .9

Socorro city (pt.)------------------ – –––––––– –

Rio Grande division ------------------ 5 137 31.0 13.6 16.2 7.2 – 4.1 83.5 62.5 3.2

Socorro city (pt.)------------------ 3 502 31.5 9.4 16.2 7.0 – 2.2 98.3 89.3 1.4

Taos County ------------------------- 12 020 28.9 20.0 20.8 10.2 3.0 8.0 48.8 28.2 7.8

Arroyo Hondo division ---------------- 1 448 39.8 14.3 18.8 9.0 .5 8.7 29.4 4.1 7.3

Questa village (pt.) ---------------- 3 – 100.0 –––––– – Penasco division--------------------- 761 21.6 26.5 25.0 13.3 – 13.8 26.3 – 11.4

Picuris division ---------------------- 852 27.1 17.0 14.9 17.1 .7 2.6 67.3 10.0 2.3

Chamisal CDP -------------------- 149 22.1 18.1 17.4 9.4 – 2.7 63.1 – 2.7

Penasco CDP --------------------- 275 26.5 15.6 10.2 21.5 – 3.6 68.7 5.1 2.9

Vadito CDP ---------------------- 118 32.2 15.3 16.1 22.0 5.1 – 59.3 – –

Questa division --------------------- 2 049 28.3 14.8 11.4 10.5 5.8 2.5 65.2 41.5 2.5

Questa village (pt.) ---------------- 771 24.1 19.7 8.9 14.4 – 2.6 74.4 41.4 3.0

Red River town ------------------- 475 41.3 7.4 13.3 4.4 25.1 – 96.6 92.2 –

Taos division ----------------------- 5 449 28.4 20.2 19.6 9.6 4.3 2.7 50.4 37.9 2.3

Ranchos De Taos CDP -------------- 685 29.6 9.2 18.4 10.9 – 3.6 26.4 2.6 2.2

Taos town (pt.)------------------- 2 086 25.0 23.3 25.3 8.8 10.9 1.1 83.9 86.1 2.3

Taos Pueblo division------------------ 1 220 22.8 34.6 46.9 8.9 – 41.1 34.3 26.4 40.5

Taos town (pt.)------------------- 29 6.9 37.9 24.1 ––– 48.3 48.3 –

Taos Pueblo CDP ------------------ 802 22.2 39.7 62.7 7.5 – 59.9 36.2 32.5 59.5

Tres Piedras division ----------------- 241 41.9 12.9 13.7 3.3 – 4.1 66.0 4.1 20.7

Torrance County ---------------------- 4 878 36.4 14.3 12.1 8.8 – 3.6 50.6 29.1 2.4

Encino division ---------------------- 355 23.9 33.5 13.2 22.8 – 3.1 36.1 10.1 4.5

Encino village--------------------- 85 22.4 29.4 17.6 5.9 – – 90.6 – – Estancia division -------------------- 3 680 41.9 8.9 13.1 7.9 – 3.9 46.8 25.8 2.5

Edgewood CDP (pt.) --------------- 203 48.3 6.4 6.9 – – 5.4 52.2 – 2.5

Estancia town -------------------- 364 17.9 18.1 11.5 9.1 – 1.4 97.3 93.7 2.2

Moriarty city --------------------- 597 30.8 5.4 11.4 5.0 – 1.3 93.8 96.0 1.3

Mountainair division------------------ 843 17.6 29.9 7.4 7.0 – 2.7 73.1 51.2 .9

Mountainair town ----------------- 455 11.9 30.3 4.6 5.3 – – 99.1 93.2 – Willard village -------------------- 90 30.0 45.6 15.6 13.3 – – 92.2 – –

Union County------------------------- 2 299 16.5 36.8 12.1 11.4 – .8 64.2 56.9 .5

Clayton North division ---------------- 554 18.2 42.1 6.5 15.3 – 1.3 20.6 1.3 1.3

Clayton town (pt.)----------------- – –––––––– –

Des Moines village----------------- 58 17.2 48.3 – 12.1 – – 94.8 12.1 –

Folsom village -------------------- 56 35.7 46.4 12.5 39.3 – 12.5 – – 12.5

Grenville village ------------------- 20 25.0 – 25.0 ––– 50.0 – –

Clayton South division ---------------- 1 745 16.0 35.1 13.9 10.1 – .6 78.1 74.6 .3

Clayton town (pt.)----------------- 1 303 14.7 29.2 16.6 11.1 – .8 99.6 96.5 .4

Valencia County----------------------- 16 781 35.3 7.2 7.8 8.9 – 1.4 45.1 32.3 1.2

Belen division ---------------------- 6 013 27.7 10.0 8.5 7.5 – 1.3 71.2 56.1 1.3

Belen city ----------------------- 2 622 19.0 14.2 12.9 6.9 – 1.6 98.2 94.4 2.4

Los Chaves CDP (pt.)--------------- 23 – 60.9 –––––– –

Los Trujillos-Gabaldon CDP (pt.) ------- 715 29.4 12.3 5.0 9.4 – – 32.7 12.2 –

Rio Communities CDP--------------- 1 447 37.5 – 3.7 10.3 – – 96.3 51.0 –

Los Lunas division ------------------- 10 768 39.5 5.6 7.5 9.6 – 1.5 30.6 19.1 1.2

Bosque Farms village --------------- 1 384 23.4 5.1 1.6 12.6 – .7 23.6 6.6 .7

Isleta Pueblo CDP (pt.) ------------- 139 28.1 30.2 23.0 7.2 – 2.2 95.7 1.4 2.9

Los Chaves CDP (pt.)--------------- 1 432 42.1 3.1 4.3 11.7 – .3 1.7 1.0 .3

Los Lunas village ------------------ 2 272 48.5 7.1 7.4 6.6 – 1.0 91.5 81.6 1.0

Los Trujillos-Gabaldon CDP (pt.) ------- – –––––––– –

Meadow Lake CDP----------------- 607 52.4 – 10.4 7.2 – 3.5 65.9 – 3.5

Peralta CDP ---------------------- 1 205 36.3 4.5 7.0 10.6 – – 5.2 2.7 –

Tome-Adelino CDP ----------------- 631 36.1 12.5 7.8 10.6 –––– –

Valencia CDP --------------------- 1 378 34.8 3.3 12.4 13.3 – 3.2 2.1 .7 2.0

46 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 47

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 12. Structural, Plumbing, and Equipment Characteristics: 1990

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Percent

Year structure built Bedrooms

All housing units

1980 to March

1990 1939 or earlier None or 1 4 or more Condominium

Lacking com- plete plumbing

facilities

With public water system

or private com- pany With public

sewer

Lacking complete kitchen facilities

The State ------------------- 632 058 27.5 8.1 16.6 10.8 1.6 3.2 83.1 71.7 2.9

COUNTY Bernalillo County ---------------------- 201 235 25.7 4.7 20.0 13.3 2.2 .5 94.3 90.9 .5

Catron County ------------------------ 1 552 24.2 16.2 15.2 6.9 – 10.1 27.4 13.9 4.4

Chaves County------------------------ 23 386 19.0 9.0 11.4 8.4 .7 .8 89.5 80.9 1.0

Cibola County ------------------------ 9 692 16.3 6.8 20.0 9.1 – 10.8 79.5 65.5 10.0

Colfax County ------------------------ 8 265 18.6 25.9 11.9 11.7 3.9 .8 83.1 72.4 1.5

Curry County ------------------------- 16 906 15.1 9.3 11.8 9.9 1.2 .4 91.1 86.1 1.0

DeBaca County ----------------------- 1 329 17.3 32.1 15.3 8.4 – 3.5 70.2 54.2 5.0

Dona Ana County --------------------- 49 148 36.2 7.0 13.0 10.6 1.1 .8 86.2 64.9 .8

Eddy County ------------------------- 20 134 18.8 8.1 11.0 7.3 .8 .6 93.7 75.2 .6 Grant County------------------------- 11 349 23.0 18.5 13.1 8.3 .1 2.1 75.4 62.3 1.6

Guadalupe County --------------------- 2 149 16.4 29.5 12.1 10.5 – .6 86.6 66.2 .2

Harding County ----------------------- 614 8.6 48.0 8.5 12.9 – 4.9 50.8 32.4 8.3

Hidalgo County ----------------------- 2 413 15.7 13.6 16.9 7.8 – .4 67.2 63.2 .7

Lea County -------------------------- 23 333 21.2 4.0 11.5 8.3 .6 .9 80.9 78.8 1.7

Lincoln County ------------------------ 12 622 32.4 8.5 11.5 11.2 3.5 1.4 81.2 62.7 1.1

Los Alamos County -------------------- 7 565 14.1 .4 11.2 26.9 6.3 – 99.8 97.5 .1

Luna County ------------------------- 7 766 25.9 8.5 18.7 8.1 .4 1.7 67.5 58.3 1.3

McKinley County ---------------------- 20 933 32.8 5.5 35.6 8.4 – 30.4 76.6 57.1 27.1

Mora County ------------------------- 2 486 16.6 32.0 17.2 11.5 – 9.5 51.1 14.7 5.9

Otero County------------------------- 23 177 28.3 6.3 9.2 10.9 .8 1.7 80.7 67.6 1.1

Quay County ------------------------- 5 576 19.7 16.5 11.1 7.0 – 2.5 82.8 61.9 2.7

Rio Arriba County --------------------- 14 357 27.2 14.5 12.2 9.6 – 6.7 47.7 29.9 5.5

Roosevelt County---------------------- 6 902 16.0 11.0 12.8 8.2 – .5 78.7 65.7 .8

Sandoval County ---------------------- 23 667 52.4 5.2 12.1 8.4 2.3 5.6 79.8 63.1 5.0

San Juan County ---------------------- 34 248 28.9 2.8 19.2 9.2 .9 10.5 85.4 58.2 10.0

San Miguel County -------------------- 11 066 21.9 22.5 17.4 9.3 .2 6.0 77.2 58.4 3.4

Santa Fe County ---------------------- 41 464 34.7 10.4 17.3 11.0 4.0 1.5 74.6 65.6 .8

Sierra County ------------------------ 6 457 29.3 10.6 25.0 4.2 – 1.2 76.6 58.5 1.0

Socorro County ----------------------- 6 289 29.8 16.5 17.1 7.7 – 5.4 79.2 57.6 4.2

Taos County ------------------------- 12 020 28.9 20.0 20.8 10.2 3.0 8.0 48.8 28.2 7.8

Torrance County ---------------------- 4 878 36.4 14.3 12.1 8.8 – 3.6 50.6 29.1 2.4

Union County------------------------- 2 299 16.5 36.8 12.1 11.4 – .8 64.2 56.9 .5

Valencia County----------------------- 16 781 35.3 7.2 7.8 8.9 – 1.4 45.1 32.3 1.2

PLACE AND COUNTY SUBDIVISION Acomita Lake CDP, Cibola County--------- 86 22.1 10.5 17.4 11.6 – 11.6 97.7 25.6 5.8

Agua Fria CDP, Santa Fe County --------- 1 299 55.5 5.2 8.7 7.2 – 2.5 71.2 68.2 1.2

Alamogordo city, Otero County ---------- 11 974 24.9 4.1 10.0 9.4 1.1 .3 98.9 97.7 .5

Albuquerque city, Bernalillo County-------- 166 870 25.1 4.5 22.0 13.0 2.6 .3 99.7 99.3 .4

Alcalde CDP, Rio Arriba County ---------- 119 25.2 18.5 14.3 1.7 – 6.7 42.9 2.5 5.0

Angel Fire village, Colfax County --------- 625 5.9 28.8 1.3 5.9 44.2 – 99.4 99.4 .3

Anthony CDP, Dona Ana County---------- 1 362 36.7 10.4 12.7 7.7 – 1.5 95.4 75.6 1.2

Artesia city, Eddy County--------------- 4 510 17.9 7.9 11.1 7.9 – .5 96.6 93.6 .1

Aztec city, San Juan County ------------ 2 158 24.3 7.6 15.9 7.3 – .6 96.8 94.5 1.0

Bayard city, Grant County -------------- 1 002 15.0 15.3 10.8 9.2 – 1.0 99.2 99.2 1.8

Belen city, Valencia County ------------- 2 622 19.0 14.2 12.9 6.9 – 1.6 98.2 94.4 2.4

Bernalillo town, Sandoval County --------- 2 179 33.1 9.6 13.1 9.2 .6 1.8 81.9 73.6 2.5

Black Rock CDP, McKinley County--------- 229 19.2 15.7 – 22.3 – – 97.4 92.6 – Bloomfield city, San Juan County --------- 1 846 30.1 .8 10.3 7.7 – .9 98.0 89.6 1.1

Boles Acres CDP, Otero County ---------- 627 45.5 – 3.7 11.2 – .6 66.5 – – Bosque Farms village, Valencia County ----- 1 384 23.4 5.1 1.6 12.6 – .7 23.6 6.6 .7

Cannon AFB CDP, Curry County ---------- 759 – .9 – 19.4 5.3 – 98.9 98.9 – Capitan village, Lincoln County ----------- 545 35.4 13.8 8.8 5.1 – .6 97.8 63.1 .6

Carlsbad city, Eddy County-------------- 10 547 12.2 8.5 13.2 5.9 1.5 .4 98.8 95.8 .9

Carlsbad North CDP, Eddy County--------- 498 30.3 6.8 6.8 19.3 – – 100.0 9.4 –

Carrizozo town, Lincoln County ---------- 572 15.9 36.2 15.4 8.2 – 1.0 93.2 89.5 .9

Causey village, Roosevelt County --------- 29 13.8 10.3 –––– 89.7 – –

Central village, Grant County ------------ 700 14.7 24.9 15.7 7.1 – 1.1 99.6 96.3 .7

Chama village, Rio Arriba County --------- 572 17.8 14.7 9.3 15.4 – 4.0 68.9 66.8 2.3

Chamisal CDP, Taos County ------------- 149 22.1 18.1 17.4 9.4 – 2.7 63.1 – 2.7

Chaparral CDP, Dona Ana County--------- 1 039 39.9 2.0 8.7 7.5 – .6 98.7 .7 1.4

Chimayo CDP------------------------- 1 111 26.6 16.8 14.7 7.5 – 5.1 9.0 .9 3.3

Rio Arriba County ------------------- 854 26.8 13.8 15.1 8.2 – 2.3 1.5 1.2 1.5

Santa Fe County -------------------- 257 25.7 26.8 13.2 5.1 – 14.4 33.9 – 9.3

Cimarron village, Colfax County ---------- 408 16.9 31.1 12.0 12.5 – 2.0 96.8 84.1 1.2

Clayton town, Union County------------- 1 303 14.7 29.2 16.6 11.1 – .8 99.6 96.5 .4

Cloudcroft village, Otero County---------- 789 32.3 27.0 9.4 15.7 3.3 1.0 95.1 87.8 1.1

Clovis city, Curry County --------------- 12 978 12.5 9.4 13.8 7.2 1.2 .4 99.8 97.8 .7

Cochiti CDP, Sandoval County------------ 207 9.2 22.2 18.8 15.5 – 2.9 100.0 90.8 2.9

Columbus village, Luna County ----------- 313 36.7 8.0 27.5 3.8 – 1.9 97.8 4.8 1.3

Corona village, Lincoln County ----------- 125 21.6 35.2 20.0 4.0 – 6.4 96.0 3.2 –

Corrales village ----------------------- 2 208 38.9 6.3 9.2 18.5 2.4 .7 4.3 4.3 .5

Bernalillo County -------------------- 239 20.1 6.7 5.0 31.4 – – 1.7 – –

Sandoval County -------------------- 1 969 41.2 6.2 9.8 16.9 2.7 .8 4.7 4.9 .5

Crownpoint CDP, McKinley County -------- 701 35.8 8.3 32.2 8.8 – 9.1 98.6 87.4 6.7

Cuba village, Sandoval County ----------- 356 31.5 11.2 25.3 9.3 – 2.2 97.2 87.6 2.8

Cuyamungue CDP, Santa Fe County ------- 124 35.5 12.1 9.7 7.3 –––– –

Deming city, Luna County--------------- 4 487 20.6 10.3 19.5 7.4 .6 1.3 98.6 95.1 .9

Des Moines village, Union County--------- 58 17.2 48.3 – 12.1 – – 94.8 12.1 –

Dexter town, Chaves County ------------ 348 36.8 15.2 4.3 11.5 – – 100.0 98.3 –

Dona Ana CDP, Dona Ana County -------- 288 37.2 8.0 12.8 8.3 – – 95.1 5.6 –

Dora village, Roosevelt County ----------- 66 3.0 21.2 – 3.0 – – 63.6 – –

Dulce CDP, Rio Arriba County------------ 771 42.8 6.2 20.4 6.6 – 3.1 95.3 89.1 3.1

Eagle Nest village, Colfax County --------- 140 34.3 17.9 30.0 2.1 – – 87.9 75.0 –

Edgewood CDP ----------------------- 1 307 58.9 2.3 3.1 6.3 – 1.5 74.7 .5 .4

Santa Fe County -------------------- 1 104 60.9 1.5 2.4 7.4 – .8 78.8 .5 – Torrance County -------------------- 203 48.3 6.4 6.9 – – 5.4 52.2 – 2.5

Eldorado at Santa Fe CDP, Santa Fe County - 916 83.5 – 5.5 9.8 – – 76.0 3.3 –

Elida town, Roosevelt County ------------ 121 9.9 30.6 8.3 7.4 – – 86.8 5.8 –

Encino village, Torrance County----------- 85 22.4 29.4 17.6 5.9 – – 90.6 – –

Espanola city ------------------------- 3 390 28.1 8.7 12.7 8.0 .1 1.4 78.4 83.9 1.4

Rio Arriba County ------------------- 2 461 27.3 8.2 13.7 7.4 .2 1.5 79.6 85.5 1.6

Santa Fe County -------------------- 929 30.5 10.2 10.1 9.5 – 1.4 75.3 79.7 .6

Estancia town, Torrance County ---------- 364 17.9 18.1 11.5 9.1 – 1.4 97.3 93.7 2.2

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 47
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 48

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 12. Structural, Plumbing, and Equipment Characteristics: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Percent

Year structure built Bedrooms

All housing units

1980 to March

1990 1939 or earlier None or 1 4 or more Condominium

Lacking com- plete plumbing

facilities

With public water system

or private com- pany With public

sewer

Lacking complete kitchen facilities

PLACE AND COUNTY SUBDIVISIONm Con. Eunice city, Lea County ---------------- 1 152 16.2 9.8 9.2 7.7 .9 .4 99.1 97.0 –

Farmington city, San Juan County -------- 13 119 24.0 1.1 10.6 11.9 1.6 .1 99.1 94.9 .3

Flora Vista CDP, San Juan County -------- 360 26.4 – 2.8 10.0 – – 70.0 6.1 –

Floyd village, Roosevelt County ---------- 57 7.0 19.3 8.8 21.1 – – 31.6 – –

Folsom village, Union County ------------ 56 35.7 46.4 12.5 39.3 – 12.5 – – 12.5

Fort Sumner village, DeBaca County ------- 692 12.6 39.0 17.6 8.8 – 2.2 99.6 96.7 3.0

Gallup city, McKinley County ------------ 6 706 23.8 7.7 16.9 11.5 – .8 99.0 98.9 1.6

Grady village, Curry County ------------- 48 12.5 16.7 – 16.7 – – 39.6 – –

Grants city, Cibola County -------------- 3 532 8.8 1.6 13.3 10.1 – .9 98.1 96.7 1.5

Grenville village, Union County ----------- 20 25.0 – 25.0 ––– 50.0 – –

Hagerman town, Chaves County---------- 398 22.9 16.8 7.0 6.8 – 3.0 100.0 94.7 2.0

Hatch village, Dona Ana County ---------- 492 18.1 38.4 15.4 6.1 – 1.6 98.4 91.3 1.6

Hobbs city, Lea County ---------------- 12 327 20.3 2.7 13.4 8.6 .8 .6 98.4 96.8 1.9

Holloman AFB CDP, Otero County--------- 1 410 2.7 1.7 6.5 21.5 1.7 – 98.9 96.2 – Hope village, Eddy County -------------- 57 14.0 29.8 5.3 14.0 – – 87.7 – – House village, Quay County ------------- 54 7.4 20.4 5.6 ––– 48.1 11.1 – Hurley town, Grant County-------------- 623 9.6 48.6 8.8 7.1 1.3 .6 100.0 99.5 2.2

Isleta Pueblo CDP---------------------- 658 13.4 40.9 30.1 8.2 – 2.4 98.2 68.2 2.0

Bernalillo County -------------------- 519 9.4 43.7 32.0 8.5 – 2.5 98.8 86.1 1.7

Valencia County--------------------- 139 28.1 30.2 23.0 7.2 – 2.2 95.7 1.4 2.9

Jaconita CDP, Santa Fe County----------- 149 16.1 8.1 13.4 5.4 ––– 5.4 –

Jal city, Lea County ------------------- 1 023 13.5 7.1 3.4 7.3 – 1.5 98.9 98.7 2.2

Jemez Pueblo CDP, Sandoval County ------ 349 8.6 22.3 29.5 9.2 – 10.6 93.1 90.0 6.3

Jemez Springs village, Sandoval County ---- 227 30.0 13.2 17.2 11.0 – 3.1 85.9 51.5 3.1

Kirtland CDP, San Juan County----------- 1 128 41.7 4.6 10.0 9.6 – .8 94.7 4.1 .8

La Cienega CDP, Santa Fe County--------- 391 26.1 11.3 15.6 14.8 – 2.6 21.0 – 2.6

Laguna CDP, Cibola County ------------- 169 20.1 33.1 24.3 3.6 – 12.4 100.0 80.5 14.8

Lake Arthur town, Chaves County -------- 129 17.8 16.3 10.1 11.6 – 1.6 91.5 – –

La Luz CDP, Otero County -------------- 659 36.0 3.2 1.8 9.6 – 3.2 89.1 22.2 3.2

Las Cruces city, Dona Ana County -------- 25 676 32.8 5.6 17.3 10.5 1.6 .4 97.4 92.4 .3

Las Vegas city, San Miguel County ------- 5 716 15.3 26.3 20.3 10.1 .3 1.3 99.7 97.2 .8

Logan village, Quay County ------------- 860 32.4 6.3 11.7 4.4 – 1.4 85.8 23.3 .9

Lordsburg city, Hidalgo County----------- 1 216 10.1 17.8 17.4 8.3 – .4 99.3 99.3 .4

Los Alamos CDP, Los Alamos County ------ 5 159 15.2 .6 15.6 23.7 8.3 – 99.7 99.1 .1

Los Chaves CDP, Valencia County--------- 1 455 41.4 4.0 4.3 11.5 – .3 1.7 1.0 .3

Los Lunas village, Valencia County -------- 2 272 48.5 7.1 7.4 6.6 – 1.0 91.5 81.6 1.0

Los Ranchos de Albuquerque village, Bernalillo County ------------------------- 1 581 14.1 6.5 11.1 25.0 – .5 82.2 29.3 –

Los Trujillos-Gabaldon CDP, Valencia County - 715 29.4 12.3 5.0 9.4 – – 32.7 12.2 –

Loving village, Eddy County ------------- 479 15.4 7.9 11.1 10.0 – – 100.0 97.3 –

Lovington city, Lea County -------------- 3 688 9.1 5.8 13.2 5.3 – 1.4 97.6 96.9 1.5

Magdalena village, Socorro County-------- 440 15.2 52.3 9.3 12.0 – 2.5 92.3 81.8 .9

Maxwell village, Colfax County ---------- 144 11.1 22.2 18.8 9.0 – – 100.0 93.1 – Meadow Lake CDP, Valencia County------- 607 52.4 – 10.4 7.2 – 3.5 65.9 – 3.5

Melrose village, Curry County------------ 356 16.6 20.8 9.6 11.5 – – 95.5 83.1 – Mescalero CDP, Otero County------------ 337 20.8 21.4 18.1 20.5 – .6 94.1 72.4 –

Mesilla town, Dona Ana County ---------- 787 16.0 30.4 10.8 21.9 – – 77.4 77.1 .3

Mesita CDP, Cibola County-------------- 172 4.7 23.3 20.3 9.9 – 8.7 96.5 79.1 –

Mexican Springs CDP, McKinley County ---- 56 16.1 –––– 7.1 92.9 91.1 7.1

Milan village, Cibola County ------------- 735 12.2 .3 13.5 5.4 – .7 97.6 95.6 .5

Moriarty city, Torrance County----------- 597 30.8 5.4 11.4 5.0 – 1.3 93.8 96.0 1.3

Mosquero village ---------------------- 94 5.3 50.0 14.9 6.4 – 8.5 100.0 – 5.3

Harding County --------------------- 94 5.3 50.0 14.9 6.4 – 8.5 100.0 – 5.3

San Miguel County ------------------ – –––––––– –

Mountainair town, Torrance County ------- 455 11.9 30.3 4.6 5.3 – – 99.1 93.2 – Nambe CDP, Santa Fe County ----------- 514 26.8 17.7 11.3 15.0 – .4 22.0 10.5 1.0

Naschitti CDP, San Juan County ---------- 111 8.1 – 58.6 – – 31.5 75.7 55.9 19.8

Navajo CDP, McKinley County ----------- 586 41.1 – 33.1 – – 13.1 90.4 85.8 16.6

Newcomb CDP, San Juan County --------- 152 58.6 5.3 35.5 3.3 13.8 16.4 79.6 40.8 19.1

North Acomita Village CDP, Cibola County -- 121 18.2 6.6 8.3 2.5 – 9.9 85.1 73.6 12.4

North Valley CDP, Bernalillo County ------- 4 819 26.0 8.2 10.5 13.4 – .7 81.8 36.9 .7

Ojo Amarillo CDP, San Juan County ------- 211 3.8 – 8.1 31.3 – 4.7 100.0 88.2 4.7

Paguate CDP, Cibola County ------------- 216 4.2 33.8 8.8 9.3 – 9.3 96.3 70.4 13.9

Paradise Hills CDP, Bernalillo County------- 1 950 23.9 – 1.2 25.1 .6 – 100.0 100.0 – Paraje CDP, Cibola County -------------- 229 6.6 20.1 27.9 12.2 – 11.4 94.8 89.5 5.7

Pecos village, San Miguel County --------- 448 30.1 21.7 7.1 6.5 – 2.2 89.3 67.0 1.6

Pena Blanca CDP, Sandoval County-------- 102 25.5 49.0 10.8 9.8 – 4.9 82.4 22.5 4.9

Penasco CDP, Taos County -------------- 275 26.5 15.6 10.2 21.5 – 3.6 68.7 5.1 2.9

Peralta CDP, Valencia County ------------ 1 205 36.3 4.5 7.0 10.6 – – 5.2 2.7 –

Placitas CDP, Sandoval County ----------- 674 62.9 7.1 11.1 12.5 3.0 4.6 26.7 3.9 .9

Pojoaque CDP, Santa Fe County ---------- 402 47.3 10.0 5.7 10.7 – .7 48.3 51.5 –

Portales city, Roosevelt County----------- 4 277 12.0 8.7 17.6 6.0 – .7 99.9 98.4 .9

Questa village, Taos County ------------- 774 24.0 20.0 8.9 14.3 – 2.6 74.2 41.2 3.0

Ranchos De Taos CDP, Taos County ------- 685 29.6 9.2 18.4 10.9 – 3.6 26.4 2.6 2.2

Raton city, Colfax County -------------- 3 502 10.6 29.6 14.4 10.7 .7 .6 99.5 96.9 1.4

Red River town, Taos County ------------ 475 41.3 7.4 13.3 4.4 25.1 – 96.6 92.2 – Reserve village, Catron County ----------- 125 9.6 12.0 10.4 3.2 – – 92.0 88.8 – Rio Communities CDP, Valencia County----- 1 447 37.5 – 3.7 10.3 – – 96.3 51.0 – Rio Rancho city, Sandoval County--------- 12 325 68.7 – 4.5 6.5 3.4 .1 99.7 86.5 .1

Roswell city, Chaves County------------- 18 242 15.9 7.7 12.5 7.8 .9 .4 99.3 98.3 .6

Roy village, Harding County ------------- 208 12.0 48.1 5.8 12.5 – – 96.2 93.3 – Ruidoso village, Lincoln County----------- 6 677 28.8 3.1 10.7 11.4 4.9 .4 97.0 80.8 .3

Ruidoso Downs village, Lincoln County ----- 622 22.3 5.5 13.0 3.5 – 1.3 93.7 81.8 1.4

Sandia CDP, Bernalillo County------------ 1 860 5.9 2.8 3.6 13.6 – .6 99.5 98.2 .6

Sandia Heights CDP, Bernalillo County ----- 1 420 61.8 – .4 41.1 3.8 – 98.5 32.0 –

San Felipe Pueblo CDP, Sandoval County --- 321 28.7 8.1 30.2 2.8 – 12.8 96.9 65.4 13.1

San Ildefonso Pueblo CDP, Santa Fe County - 177 32.8 13.6 8.5 33.9 – – 67.2 55.4 – San Jon village, Quay County------------ 128 26.6 18.8 7.8 1.6 – 6.3 100.0 100.0 4.7

San Juan CDP, Rio Arriba County --------- 156 20.5 32.7 16.7 5.1 – 5.1 96.2 67.3 .6

Sanostee CDP, San Juan County---------- 184 43.5 3.3 39.7 – – 29.3 70.7 26.6 32.6

Santa Ana Pueblo CDP, Sandoval County --- 143 23.8 16.1 20.3 13.3 – 18.2 99.3 86.7 11.9

Santa Clara Pueblo CDP, Rio Arriba County-- 431 19.7 10.4 8.4 7.9 – 2.8 83.8 79.1 2.8

Santa Cruz CDP, Santa Fe County -------- 930 32.7 6.6 9.8 10.3 – 1.7 21.1 1.8 2.5

Santa Fe city, Santa Fe County ---------- 24 782 28.6 12.1 20.8 10.6 6.7 .3 96.2 93.5 .4

Santa Rosa city, Guadalupe County ------- 987 19.8 24.0 16.0 10.0 – .4 98.8 94.3 .4

48 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 49

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Table 12. Structural, Plumbing, and Equipment Characteristics: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Percent

Year structure built Bedrooms

All housing units

1980 to March

1990 1939 or earlier None or 1 4 or more Condominium

Lacking com- plete plumbing

facilities

With public water system

or private com- pany With public

sewer

Lacking complete kitchen facilities

PLACE AND COUNTY SUBDIVISIONm Con.

Santo Domingo Pueblo CDP, Sandoval County ---------------------------- 407 18.9 34.4 26.8 6.9 – 5.9 92.4 85.7 4.2

San Ysidro village, Sandoval County------- 86 29.1 36.0 8.1 5.8 – 10.5 91.9 8.1 7.0

Seama CDP, Cibola County-------------- 136 5.1 7.4 22.1 8.8 – 3.7 100.0 95.6 3.7

Shiprock CDP, San Juan County ---------- 2 221 25.3 2.2 26.3 2.3 1.5 15.0 92.2 75.0 9.5

Silver City town, Grant County----------- 4 255 21.8 16.9 13.8 8.4 – .4 98.0 94.9 .7

Skyline-Ganipa CDP, Cibola County -------- 200 39.5 – 4.0 26.0 – 6.5 99.0 78.0 1.0

Socorro city, Socorro County ------------ 3 502 31.5 9.4 16.2 7.0 – 2.2 98.3 89.3 1.4

South Valley CDP, Bernalillo County ------- 12 226 15.6 8.2 12.6 12.4 .1 .8 68.0 69.1 .8

Springer town, Colfax County------------ 591 7.8 24.5 11.0 10.5 – .7 99.7 95.4 1.2

Sunland Park city, Dona Ana County ------ 1 959 44.6 1.8 17.0 10.1 .4 2.7 98.9 97.9 1.1

Taos town, Taos County --------------- 2 115 24.7 23.5 25.3 8.7 10.8 1.0 83.5 85.6 2.3

Taos Pueblo CDP, Taos County ----------- 802 22.2 39.7 62.7 7.5 – 59.9 36.2 32.5 59.5

Tatum town, Lea County --------------- 385 16.9 5.2 13.5 5.5 2.9 2.3 95.8 93.8 6.0

Tesuque CDP, Santa Fe County----------- 752 21.0 20.9 20.1 15.8 – 4.8 8.0 3.7 3.2

Texico city, Curry County --------------- 379 32.5 7.4 9.5 7.1 – .5 96.3 83.1 .5

Tijeras village, Bernalillo County ---------- 145 35.9 6.2 9.7 12.4 – 6.9 9.7 7.6 5.5

Tohatchi CDP, McKinley County ---------- 347 17.9 3.2 27.7 7.2 – 19.6 90.5 74.4 11.8

Tome-Adelino CDP, Valencia County ------- 631 36.1 12.5 7.8 10.6 –––– –

Truth or Consequences city, Sierra County -- 3 652 22.2 9.5 30.4 4.2 – .7 94.8 89.5 .4

Tucumcari city, Quay County ------------ 3 164 14.1 20.0 14.2 6.8 – 2.1 99.7 97.3 2.7

Tularosa village, Otero County ----------- 1 162 23.9 16.7 12.7 8.2 – 3.4 99.5 78.6 2.9

University Park CDP, Dona Ana County----- 647 19.5 .6 9.1 17.3 4.8 – 100.0 100.0 –

Vadito CDP, Taos County --------------- 118 32.2 15.3 16.1 22.0 5.1 – 59.3 – –

Valencia CDP, Valencia County ----------- 1 378 34.8 3.3 12.4 13.3 – 3.2 2.1 .7 2.0

Vaughn town, Guadalupe County --------- 380 5.0 33.2 10.3 10.5 – – 98.9 97.9 –

Virden village, Hidalgo County ----------- 54 9.3 31.5 9.3 33.3 –––– –

Wagon Mound village, Mora County ------ 215 11.2 59.1 7.4 21.4 – 2.3 95.8 88.8 2.3

White Rock CDP, Los Alamos County ------ 2 198 10.2 – – 36.7 2.3 – 100.0 94.2 –

White Sands CDP, Dona Ana County ------ 724 7.5 – 5.8 3.3 2.1 1.9 94.1 90.6 –

Willard village, Torrance County ---------- 90 30.0 45.6 15.6 13.3 – – 92.2 – –

Williamsburg village, Sierra County-------- 265 12.5 5.7 7.5 4.5 – – 98.9 98.9 –

Zia Pueblo CDP, Sandoval County--------- 170 24.7 12.4 27.1 8.2 – 9.4 92.4 88.2 10.0

Zuni Pueblo CDP, McKinley County -------- 1 404 20.2 14.0 10.8 24.7 – 7.9 95.5 91.9 6.8

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 49
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Table 13. Fuels and Equipment Characteristics: 1990

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Percent withm

House heating fuel Vehicles available

All occupied

housing units Utility gas

Bottled, tank,

or LP gas Electricity

Fuel oil, kerosene, etc. Other or none None 1 2 or moreNo telephone in

unit

The State ------------------- 542 709 70.1 11.9 9.1 .3 8.7 6.9 34.1 59.0 12.4

Bernalillo County ---------------------- 185 582 84.1 3.0 10.1 .1 2.7 6.8 34.9 58.3 6.8

Albuquerque division ----------------- 180 060 86.3 1.7 10.2 .1 1.7 6.9 35.3 57.9 6.6

Albuquerque city (pt.) -------------- 153 818 87.0 .9 10.7 .1 1.3 7.2 36.7 56.1 6.5

Corrales village (pt.) --------------- 223 79.4 10.3 7.2 – 3.1 – 13.0 87.0 – Los Ranchos de Albuquerque village ---- 1 454 91.7 .6 1.0 – 6.7 5.1 20.6 74.3 6.7

North Valley CDP------------------ 4 473 87.8 5.7 2.3 .1 4.2 4.6 27.9 67.5 8.1

Paradise Hills CDP ----------------- 1 904 94.9 – 3.2 – 2.0 1.5 24.4 74.1 .5

Sandia CDP ---------------------- 1 772 89.1 .9 10.0 – – 1.2 33.8 65.0 1.8

Sandia Heights CDP ---------------- 1 353 26.7 28.8 38.7 – 5.9 – 13.8 86.2 .4

South Valley CDP------------------ 11 272 87.2 4.3 4.1 .1 4.3 7.4 28.2 64.4 10.0

Bernalillo East division ---------------- 4 589 5.6 49.1 9.5 .8 35.1 3.1 20.5 76.5 7.3

Tijeras village--------------------- 108 27.8 50.0 – – 22.2 – 16.7 83.3 28.7

Bernalillo West division --------------- 284 – 12.0 7.0 12.0 69.0 26.8 36.3 37.0 60.6

Albuquerque city (pt.) -------------- – –––––––– – Isleta Pueblo division ----------------- 649 61.6 16.3 3.2 .2 18.6 14.3 33.3 52.4 17.3

Isleta Pueblo CDP (pt.) ------------- 429 65.0 10.0 4.0 – 21.0 17.0 33.6 49.4 19.3

Catron County ------------------------ 1 010 – 37.9 2.8 – 59.3 3.6 26.2 70.2 9.5

Quemado division ------------------- 354 – 40.4 1.4 – 58.2 – 19.2 80.8 12.1

Reserve division --------------------- 656 – 36.6 3.5 – 59.9 5.5 30.0 64.5 8.1

Reserve village-------------------- 103 – 38.8 – – 61.2 11.7 20.4 68.0 5.8

Chaves County------------------------ 20 589 73.0 10.2 15.8 .1 .9 6.1 37.1 56.7 13.1

Dexter division --------------------- 637 59.2 26.1 13.8 .5 .5 3.0 38.5 58.6 19.2

Dexter town --------------------- 284 82.4 5.6 10.2 1.1 .7 5.6 38.7 55.6 13.7

Hagerman division ------------------- 690 62.3 29.4 3.8 – 4.5 8.4 29.9 61.7 21.7

Hagerman town------------------- 325 84.9 7.4 3.1 – 4.6 14.5 28.3 57.2 19.4

Lake Arthur town ----------------- 105 70.5 29.5 ––– 7.6 31.4 61.0 18.1

Northeast Chaves division ------------- 47 10.6 78.7 10.6 ––– 21.3 78.7 –

Northwest Chaves division ------------- 874 6.8 65.7 22.2 – 5.4 4.7 16.5 78.8 21.5

Roswell city (pt.)------------------ 6 100.0 –––––– 100.0 –

Roswell division --------------------- 16 562 80.7 1.7 17.0 .1 .5 6.5 39.2 54.3 11.0

Roswell city (pt.)------------------ 15 808 81.8 1.0 16.7 .1 .4 6.7 39.9 53.4 11.1

Southeast Chaves division ------------- 447 46.1 41.2 10.1 1.3 1.3 4.5 21.9 73.6 17.7

Southwest Chaves division ------------- 1 332 44.0 49.4 6.6 – – 3.5 33.5 63.1 24.8

Roswell city (pt.)------------------ 381 95.0 1.6 3.4 – – 5.2 41.7 53.0 20.2

Cibola County ------------------------ 7 292 51.4 18.9 6.1 .8 22.7 11.0 31.1 57.9 24.9

Fence Lake division ------------------ 34 – 61.8 – – 38.2 14.7 17.6 67.6 8.8

Grants division---------------------- 5 565 59.4 15.8 5.9 .3 18.5 8.2 29.8 62.0 20.3

Acomita Lake CDP ----------------- 71 – 45.1 12.7 2.8 39.4 16.9 39.4 43.7 31.0

Grants city ---------------------- 2 957 80.3 3.2 8.1 – 8.5 9.6 30.7 59.7 17.6

Milan village --------------------- 608 78.5 5.4 2.1 .5 13.5 6.6 25.3 68.1 24.2

North Acomita Village CDP----------- 99 40.4 26.3 2.0 3.0 28.3 6.1 48.5 45.5 28.3

Skyline-Ganipa CDP ---------------- 185 56.2 15.7 1.1 – 27.0 15.7 35.1 49.2 26.5

Laguna division --------------------- 1 196 36.6 31.6 4.7 3.1 24.0 18.4 34.3 47.3 27.4

Laguna CDP---------------------- 152 23.0 32.9 – 17.8 26.3 2.6 52.6 44.7 33.6

Mesita CDP ---------------------- 163 57.7 8.6 1.2 – 32.5 23.3 39.3 37.4 27.0

Paguate CDP --------------------- 159 – 70.4 – – 29.6 19.5 34.0 46.5 28.9

Paraje CDP ---------------------- 160 61.3 15.6 – – 23.1 15.0 30.0 55.0 18.8

Seama CDP ---------------------- 97 63.9 15.5 4.1 3.1 13.4 15.5 29.9 54.6 20.6

Zuni-Ramah Navajo division ------------ 497 .8 20.3 12.5 .8 65.6 24.7 38.4 36.8 71.6

Colfax County ------------------------ 4 959 53.7 20.5 10.0 3.9 11.9 8.6 33.6 57.9 12.3

Cimarron division -------------------- 848 1.9 57.3 11.9 .2 28.7 4.5 27.4 68.2 15.9

Angel Fire village ------------------ 40 – 12.5 87.5 ––– 60.0 40.0 40.0

Cimarron village------------------- 313 1.3 68.4 – – 30.4 9.6 33.2 57.2 14.7

Eagle Nest village ----------------- 71 9.9 46.5 5.6 – 38.0 – 22.5 77.5 5.6

Raton division ---------------------- 3 253 69.4 9.0 10.6 4.3 6.7 9.2 35.6 55.1 11.2

Maxwell village (pt.) --------------- – –––––––– – Raton city ----------------------- 2 881 75.6 5.1 10.1 4.0 5.1 10.4 38.0 51.6 11.8

Springer division -------------------- 858 45.2 28.0 6.2 5.6 15.0 10.0 32.1 57.9 12.6

Maxwell village (pt.) --------------- 105 80.0 6.7 – – 13.3 16.2 32.4 51.4 15.2

Springer town -------------------- 486 57.8 17.9 9.9 6.8 7.6 13.0 32.7 54.3 14.6

Curry County ------------------------- 15 113 72.9 8.5 16.9 .3 1.5 5.8 35.1 59.1 10.1

Broadview division ------------------- 152 1.3 53.9 3.9 – 40.8 6.6 11.2 82.2 1.3

Grady village --------------------- 35 – 82.9 17.1 –––– 100.0 –

Clovis division ---------------------- 14 510 74.9 6.4 17.3 .2 1.1 5.9 35.8 58.3 10.3

Cannon AFB CDP ------------------ 748 99.6 – .4 – – .5 43.9 55.6 1.7

Clovis city ----------------------- 11 676 78.2 1.3 19.6 .2 .7 6.8 35.6 57.6 10.9

Texico city----------------------- 328 75.9 11.0 7.6 3.0 2.4 8.2 41.8 50.0 17.7

Melrose division--------------------- 451 31.0 59.6 5.8 1.6 2.0 3.8 20.0 76.3 6.2

Melrose village ------------------- 287 46.7 46.7 4.2 2.4 – 5.9 28.2 65.9 9.8

DeBaca County ----------------------- 913 43.5 41.6 2.8 .2 11.8 8.1 31.8 60.1 9.9

East De Baca division ---------------- 829 47.9 38.1 1.8 .2 11.9 8.9 33.2 57.9 9.8

Fort Sumner village ---------------- 533 56.3 36.0 .9 .4 6.4 10.3 38.3 51.4 9.9

West De Baca division ---------------- 84 – 76.2 13.1 – 10.7 – 17.9 82.1 10.7

Dona Ana County --------------------- 45 029 67.0 17.5 12.6 .2 2.7 5.7 35.6 58.7 12.3

Anthony division -------------------- 4 786 40.8 50.8 6.0 – 2.4 4.9 32.6 62.5 18.3

Anthony CDP --------------------- 1 303 73.7 21.7 3.5 – 1.1 9.6 36.5 54.0 27.0

Chaparral CDP -------------------- 868 6.6 87.8 5.6 – – 2.5 37.1 60.4 10.3

Dona Ana-Hill division ---------------- 5 082 49.1 36.2 9.8 .4 4.4 1.9 28.8 69.2 12.3

Dona Ana CDP-------------------- 284 60.9 21.8 10.9 3.9 2.5 6.7 50.7 42.6 25.7

Las Cruces city (pt.) --------------- 1 138 62.8 24.9 12.0 – .4 2.5 32.8 64.8 9.1

Fairacres division -------------------- 1 206 53.2 25.9 11.5 – 9.5 3.0 22.7 74.3 8.7

Mesilla town (pt.) ----------------- – –––––––– –

Hatch division ---------------------- 1 209 47.1 44.5 1.8 .9 5.6 9.5 39.7 50.8 31.8

Hatch village --------------------- 406 74.9 18.0 1.0 – 6.2 8.9 47.3 43.8 22.9

Las Cruces division------------------- 27 714 76.9 5.3 15.4 .1 2.2 6.6 37.7 55.7 9.8

Las Cruces city (pt.) --------------- 22 659 78.2 3.3 16.5 .1 1.9 7.4 39.2 53.5 9.7

Mesilla town (pt.) ----------------- 727 84.3 4.5 8.4 – 2.8 5.1 34.3 60.7 12.4

University Park CDP ---------------- 636 73.3 2.2 24.5 – – 3.8 54.7 41.5 1.6

South Dona Ana division -------------- 4 330 59.7 29.2 9.3 – 1.8 5.8 34.3 59.9 19.3

Sunland Park city------------------ 1 850 81.5 14.5 2.9 – 1.1 6.6 46.1 47.4 34.8

White Sands division ----------------- 702 87.9 2.7 7.7 .7 1.0 – 44.0 56.0 1.7

White Sands CDP------------------ 702 87.9 2.7 7.7 .7 1.0 – 44.0 56.0 1.7

50 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 51

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Table 13. Fuels and Equipment Characteristics: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Percent withm

House heating fuel Vehicles available

All occupied

housing units Utility gas

Bottled, tank,

or LP gas Electricity

Fuel oil, kerosene, etc. Other or none None 1 2 or moreNo telephone in

unit

Eddy County ------------------------- 17 472 78.5 9.6 10.8 – 1.1 6.2 32.4 61.4 10.4

Artesia division --------------------- 5 220 78.8 11.8 8.2 – 1.2 8.0 32.5 59.5 12.0

Artesia city ---------------------- 3 916 87.2 3.3 8.1 – 1.4 8.7 34.0 57.3 11.0

Hope village --------------------- 45 – 100.0 –––– 28.9 71.1 11.1

Carlsbad division -------------------- 11 535 79.1 7.8 12.1 – .9 5.5 32.4 62.2 9.3

Carlsbad city --------------------- 9 255 85.4 2.5 11.5 – .6 6.1 34.9 59.0 9.3

Carlsbad North CDP ---------------- 460 84.3 1.5 12.6 – 1.5 – 12.2 87.8 1.3

Loco Hills division ------------------- 127 32.3 58.3 4.7 4.7 – – 52.0 48.0 18.1

Loving division---------------------- 590 74.2 14.9 7.6 – 3.2 6.1 28.5 65.4 15.1

Loving village--------------------- 391 91.6 .8 6.9 – .8 7.7 37.1 55.2 18.2

Grant County------------------------- 9 773 60.7 17.7 5.1 – 16.6 6.4 30.4 63.2 12.8

Bayard-Santa Rita division ------------- 1 215 69.1 13.7 2.3 – 14.9 9.5 32.2 58.4 17.9

Bayard city ---------------------- 865 87.6 2.2 2.2 – 8.0 11.8 34.9 53.3 12.9

Hurley town (pt.) ----------------- – –––––––– – Central division --------------------- 1 004 65.1 17.2 2.1 – 15.5 6.6 33.4 60.1 19.0

Central village -------------------- 593 95.1 1.3 .5 – 3.0 8.6 31.5 59.9 19.1

Hurley division ---------------------- 692 73.1 10.5 4.3 – 12.0 2.9 19.9 77.2 6.5

Hurley town (pt.) ----------------- 552 87.3 – 4.3 – 8.3 3.6 19.9 76.4 6.0

Mimbres division -------------------- 416 – 58.9 .7 – 40.4 3.4 34.1 62.5 15.9

Pinos Altos division ------------------ 380 6.1 45.0 6.1 – 42.9 – 31.6 68.4 16.8

Silver City division ------------------- 5 464 68.8 12.5 7.1 – 11.6 7.0 31.6 61.5 10.7

Silver City town------------------- 3 870 85.2 3.2 5.2 – 6.4 9.3 37.9 52.8 10.8

Tyrone division --------------------- 602 25.6 35.7 – – 38.7 4.7 19.9 75.4 14.6

Guadalupe County --------------------- 1 520 3.3 78.0 .2 – 18.5 10.2 36.6 53.2 23.0

Dilia division ----------------------- 190 3.2 31.1 – – 65.8 3.7 33.2 63.2 41.6

Santa Rosa division ------------------ 1 030 3.3 85.3 – – 11.4 10.3 36.5 53.2 21.6

Santa Rosa city ------------------- 801 3.2 88.6 – – 8.1 12.6 41.4 45.9 22.6

Vaughn division --------------------- 300 3.3 82.7 1.0 – 13.0 14.0 39.0 47.0 16.3

Vaughn town--------------------- 268 3.7 82.1 1.1 – 13.1 14.9 39.9 45.1 18.3

Harding County ----------------------- 396 .5 84.6 1.3 .5 13.1 7.8 22.5 69.7 8.1

North Harding division ---------------- 323 .6 82.0 .6 .6 16.1 8.7 24.5 66.9 9.0

Mosquero village (pt.)-------------- 66 – 80.3 – 3.0 16.7 22.7 30.3 47.0 19.7

Roy village ---------------------- 149 1.3 85.2 1.3 – 12.1 8.7 25.5 65.8 6.7

South Harding division ---------------- 73 – 95.9 4.1 – – 4.1 13.7 82.2 4.1

Hidalgo County ----------------------- 2 004 50.6 21.6 10.4 2.3 15.1 8.1 31.5 60.4 13.9

North Hidalgo division ---------------- 1 625 60.2 23.7 6.0 .8 9.2 9.5 36.5 54.0 15.1

Lordsburg city -------------------- 1 034 71.3 14.6 8.7 .7 4.7 13.1 44.2 42.7 18.9

Virden village--------------------- 39 – 74.4 – – 25.6 – 30.8 69.2 – South Hidalgo division ---------------- 379 9.5 12.4 29.0 9.0 40.1 1.8 10.3 87.9 9.0

Lea County -------------------------- 19 306 75.5 9.3 14.4 .1 .7 6.5 35.4 58.1 15.0

Eunice division ---------------------- 1 063 88.0 6.3 5.2 – .6 10.7 37.2 52.1 16.5

Eunice city----------------------- 943 91.4 2.9 5.1 – .6 10.6 34.8 54.6 15.5

Hobbs division ---------------------- 12 900 74.8 7.1 17.6 – .6 6.4 36.0 57.7 14.3

Hobbs city----------------------- 10 242 82.0 1.5 15.9 – .6 7.0 37.5 55.6 15.9

Jal division ------------------------ 825 86.9 5.7 6.4 .4 .6 4.8 35.5 59.6 14.9

Jal city ------------------------- 763 91.7 1.0 6.2 .4 .7 5.2 35.6 59.1 14.3

Lovington division ------------------- 3 999 76.2 12.6 9.9 .2 1.2 6.4 33.6 60.0 16.4

Lovington city -------------------- 3 075 88.7 2.5 8.4 – .3 8.1 37.7 54.3 18.4

Tatum division ---------------------- 519 43.9 50.9 4.0 – 1.2 4.4 31.2 64.4 17.9

Tatum town---------------------- 278 70.9 22.3 5.4 – 1.4 3.2 36.0 60.8 13.7

Lincoln County ------------------------ 4 789 40.2 39.1 4.6 .5 15.6 6.0 31.9 62.1 15.0

Capitan division --------------------- 812 27.6 39.7 1.2 .6 30.9 2.3 28.0 69.7 14.5

Capitan village-------------------- 370 33.8 41.1 .8 .8 23.5 3.5 32.4 64.1 11.6

Ruidoso village (pt.) --------------- – –––––––– –

Carrizozo division ------------------- 507 38.9 35.7 1.4 2.0 22.1 13.8 36.5 49.7 15.0

Carrizozo town ------------------- 435 45.3 32.4 1.6 2.3 18.4 14.7 39.1 46.2 14.7

Corona division --------------------- 199 31.2 34.2 1.5 – 33.2 3.5 31.7 64.8 19.6

Corona village -------------------- 90 45.6 23.3 – – 31.1 7.8 38.9 53.3 16.7

Hondo division---------------------- 338 – 78.4 3.8 – 17.8 11.2 26.3 62.4 22.8

Ruidoso division--------------------- 2 933 49.2 35.4 6.4 .3 8.8 5.2 32.9 61.9 13.9

Ruidoso village (pt.) --------------- 1 895 59.7 27.3 7.4 .4 5.2 5.8 33.6 60.6 12.0

Ruidoso Downs village -------------- 344 37.8 48.3 1.5 .6 11.9 4.9 35.8 59.3 20.9

Los Alamos County -------------------- 7 213 91.5 .9 2.5 .4 4.7 3.2 23.6 73.2 1.9

Los Alamos division ------------------ 5 007 91.7 .7 3.3 .6 3.7 4.1 29.2 66.7 2.7

Los Alamos CDP ------------------ 4 839 92.3 .3 3.2 .6 3.6 4.1 29.3 66.6 2.7

White Rock division ------------------ 2 206 90.9 1.4 .7 – 7.0 1.2 10.9 87.9 – White Rock CDP------------------- 2 180 90.8 1.4 .7 – 7.1 1.2 11.1 87.7 –

Luna County ------------------------- 6 797 59.0 26.9 5.9 1.0 7.2 9.6 38.2 52.3 17.2

Deming North division ---------------- 5 293 71.2 17.8 5.4 .9 4.7 10.9 40.3 48.8 16.6

Deming city (pt.)------------------ 4 061 85.5 7.0 4.7 .6 2.2 13.5 41.8 44.7 17.4

Deming South division ---------------- 1 504 16.4 59.0 7.6 1.1 15.9 4.8 30.8 64.4 19.1

Columbus village ------------------ 232 1.3 86.2 3.4 .9 8.2 8.2 44.0 47.8 27.6

Deming city (pt.)------------------ – –––––––– –

McKinley County ---------------------- 16 588 40.0 15.8 6.8 .3 37.1 15.4 40.7 43.9 44.7

Crownpoint division ------------------ 1 339 10.3 14.4 13.7 – 61.6 14.8 56.6 28.6 69.5

Crownpoint CDP------------------- 512 27.0 15.6 25.0 – 32.4 9.2 56.6 34.2 35.0

Gallup division ---------------------- 6 740 83.6 5.1 5.3 – 6.0 9.0 34.4 56.6 16.1

Gallup city (pt.)------------------- 6 178 89.6 1.3 5.4 – 3.6 9.1 34.5 56.4 14.3

Red Rock division-------------------- 4 716 6.8 27.6 6.4 .7 58.4 21.8 40.7 37.6 70.7

Gallup city (pt.)------------------- 26 – 19.2 – – 80.8 – 100.0 – 80.8

Reservation division ------------------ 2 158 22.4 15.2 11.3 .8 50.4 21.0 43.7 35.3 73.1

Mexican Springs CDP--------------- 42 21.4 19.0 19.0 – 40.5 – 59.5 40.5 40.5

Navajo CDP ---------------------- 391 66.8 19.2 14.1 – – 14.1 51.9 34.0 46.0

Tohatchi CDP --------------------- 214 70.1 16.8 13.1 ––– 56.5 43.5 24.8

Zuni division ----------------------- 1 635 3.4 28.0 2.6 – 66.1 16.6 49.6 33.8 29.4

Black Rock CDP ------------------- 200 9.0 35.5 17.5 – 38.0 20.0 48.5 31.5 28.5

Zuni Pueblo CDP ------------------ 1 264 2.9 28.5 .6 – 68.0 17.0 47.8 35.2 30.1

Mora County ------------------------- 1 519 3.6 28.7 4.1 .2 63.4 8.5 29.0 62.5 20.0

Mora division ---------------------- 1 115 – 26.4 5.4 – 68.3 8.3 27.4 64.4 19.4

Wagon Mound division --------------- 404 13.4 35.1 .7 .7 50.0 9.2 33.7 57.2 21.8

Wagon Mound village -------------- 141 35.5 45.4 – – 19.1 19.1 26.2 54.6 17.7

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 51
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 52

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 13. Fuels and Equipment Characteristics: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Percent withm

House heating fuel Vehicles available

All occupied

housing units Utility gas

Bottled, tank,

or LP gas Electricity

Fuel oil, kerosene, etc. Other or none None 1 2 or moreNo telephone in

unit

Otero County------------------------- 18 155 66.5 20.5 4.7 .2 8.1 5.7 34.9 59.4 11.7

Alamogordo division ----------------- 14 045 80.2 10.6 5.0 .2 4.0 4.8 36.5 58.8 8.8

Alamogordo city ------------------ 10 482 91.9 1.8 4.3 .3 1.8 5.5 37.3 57.2 8.7

Boles Acres CDP ------------------ 528 – 85.8 3.2 – 11.0 2.3 20.6 77.1 13.1

Holloman AFB CDP----------------- 1 375 89.6 .6 9.8 – – .6 48.4 51.1 3.5

La Luz CDP (pt.) ------------------ 585 46.8 35.7 7.9 – 9.6 4.8 32.1 63.1 12.1

Mescalero division ------------------- 658 1.7 61.7 .3 – 36.3 28.0 35.1 36.9 57.1

Mescalero CDP ------------------- 300 2.0 63.3 .7 – 34.0 34.0 29.7 36.3 61.7

Southeast Otero division -------------- 1 701 2.1 63.9 6.0 .2 27.9 3.7 25.9 70.4 11.2

Cloudcroft village------------------ 229 – 56.3 20.1 – 23.6 2.2 36.2 61.6 3.1

La Luz CDP (pt.) ------------------ – –––––––– –

Tularosa division -------------------- 1 751 43.7 42.6 2.6 – 11.0 6.3 31.0 62.8 18.0

Tularosa village ------------------- 976 72.0 17.2 1.5 – 9.2 8.1 37.7 54.2 20.7

Quay County ------------------------- 4 238 57.0 30.5 6.6 .3 5.7 6.3 36.8 56.9 9.6

House-Forrest division ---------------- 162 – 90.7 3.7 – 5.6 3.7 25.9 70.4 1.2

House village --------------------- 40 – 90.0 – – 10.0 5.0 37.5 57.5 5.0

Logan-Nara Visa division -------------- 453 1.3 81.2 2.4 – 15.0 3.1 30.5 66.4 7.5

Logan village --------------------- 353 – 82.2 3.1 – 14.7 4.0 26.6 69.4 4.0

San Jon division -------------------- 235 – 86.4 5.5 .9 7.2 1.7 28.5 69.8 8.1

San Jon village ------------------- 103 – 83.5 12.6 1.9 1.9 – 40.8 59.2 11.7

Tucumcari division ------------------- 3 388 71.2 16.9 7.3 .3 4.3 7.2 38.7 54.1 10.4

Tucumcari city -------------------- 2 695 86.6 3.3 7.8 .3 2.0 8.7 42.4 48.9 12.2

Rio Arriba County --------------------- 11 461 48.3 21.8 3.4 .1 26.4 8.9 27.5 63.6 26.5

Chimayo division -------------------- 1 228 20.1 33.4 2.5 – 44.0 9.7 23.3 67.0 25.4

Chimayo CDP (pt.)----------------- 724 31.5 34.9 2.1 – 31.5 5.5 25.0 69.5 21.0

Coyote division --------------------- 478 26.6 30.1 – – 43.3 12.1 17.6 70.3 26.6

Dixon division ---------------------- 482 22.0 30.5 1.2 – 46.3 8.5 17.8 73.7 12.9

Jicarilla division --------------------- 688 81.7 4.4 1.6 .3 12.1 14.7 37.2 48.1 46.4

Dulce CDP (pt.) ------------------- 657 84.9 3.0 1.7 .3 10.0 13.9 37.3 48.9 44.6

Rio Chama division ------------------ 814 3.6 40.0 4.1 – 52.3 6.6 30.8 62.5 36.2

San Juan Pueblo division -------------- 1 659 61.0 14.9 4.6 – 19.5 8.3 27.4 64.3 29.5

Alcalde CDP---------------------- 104 53.8 26.0 3.8 – 16.3 19.2 23.1 57.7 32.7

Espanola city (pt.)----------------- 261 68.6 11.5 7.7 – 12.3 3.4 23.8 72.8 29.9

San Juan CDP -------------------- 118 86.4 ––– 13.6 22.0 42.4 35.6 30.5

Santa Clara division ------------------ 2 747 79.2 6.4 5.0 – 9.4 10.1 28.0 61.8 21.4

Espanola city (pt.)----------------- 1 476 91.2 2.2 2.6 – 4.0 12.2 31.4 56.4 25.7

Santa Clara Pueblo CDP ------------- 372 84.7 2.4 2.4 – 10.5 10.5 34.1 55.4 24.2

South Rio Arriba division -------------- 2 000 48.8 27.3 3.6 .4 19.9 7.2 27.2 65.7 23.9

Espanola city (pt.)----------------- 480 77.3 11.0 4.6 – 7.1 6.0 42.5 51.5 26.0

Tierra Amarilla division---------------- 1 066 25.9 35.8 .9 .5 36.9 6.8 31.7 61.4 22.0

Chama village -------------------- 378 65.6 12.2 – – 22.2 7.1 30.7 62.2 23.3

Dulce CDP (pt.) ------------------- – –––––––– –

Vallecitas division ------------------- 187 – 34.2 3.7 – 62.0 8.0 29.9 62.0 56.7

Western Rio Arriba division ------------ 112 25.0 25.0 – – 50.0 – 25.0 75.0 25.0

Roosevelt County---------------------- 5 991 55.9 22.9 17.4 .3 3.5 5.4 36.8 57.9 14.0

Dora division ----------------------- 229 – 94.8 – 1.3 3.9 2.2 21.4 76.4 4.4

Causey village -------------------- 24 – 100.0 –––– 8.3 91.7 8.3

Dora village (pt.)------------------ 51 – 94.1 – – 5.9 – 27.5 72.5 3.9

Elida division ----------------------- 448 15.4 65.8 10.3 – 8.5 2.7 21.9 75.4 16.5

Elida town ----------------------- 76 – 69.7 30.3 – – 6.6 53.9 39.5 31.6

Floyd village --------------------- 47 34.0 48.9 4.3 – 12.8 – 8.5 91.5 14.9

Portales division--------------------- 5 314 61.7 16.2 18.8 .2 3.1 5.7 38.7 55.6 14.2

Dora village (pt.)------------------ – –––––––– –

Portales city --------------------- 3 818 76.1 1.3 20.5 – 2.1 7.3 43.8 48.9 16.7

Sandoval County ---------------------- 20 867 71.8 9.3 5.4 .4 13.1 4.9 28.6 66.5 10.2

Bernalillo division -------------------- 16 929 81.8 6.4 5.9 .2 5.7 3.2 27.1 69.7 3.5

Bernalillo town ------------------- 1 966 81.0 7.8 4.5 – 6.7 7.1 33.2 59.7 12.4

Corrales village (pt.) --------------- 1 819 57.0 21.2 7.8 .6 13.4 1.6 22.4 76.0 4.2

Placitas CDP --------------------- 630 17.6 41.3 22.4 – 18.7 – 14.9 85.1 1.4

Rio Rancho city ------------------- 11 658 91.3 1.2 5.2 .1 2.2 3.0 27.4 69.6 1.4

San Felipe Pueblo CDP (pt.) ---------- – –––––––– –

Santa Ana Pueblo CDP (pt.)---------- 120 60.0 7.5 3.3 1.7 27.5 10.8 26.7 62.5 21.7

Cuba division ----------------------- 1 409 23.0 16.7 3.6 4.0 52.7 11.8 40.4 47.8 55.4

Cuba village---------------------- 272 86.4 4.0 1.1 – 8.5 11.8 40.8 47.4 36.0

Jemez division ---------------------- 1 181 1.6 33.7 4.8 – 59.9 12.8 27.1 60.1 35.6

Jemez Pueblo CDP ----------------- 310 4.5 23.9 8.1 – 63.5 26.8 32.6 40.6 63.9

Jemez Springs village -------------- 149 – 27.5 2.0 – 70.5 8.7 23.5 67.8 10.7

San Ysidro village ----------------- 69 – 31.9 – – 68.1 11.6 30.4 58.0 21.7

Zia Pueblo CDP ------------------- 145 – 44.1 – – 55.9 9.0 41.4 49.7 46.9

Santo Domingo division --------------- 1 348 58.4 16.2 1.6 .2 23.5 12.2 36.3 51.6 26.0

Cochiti CDP ---------------------- 168 95.8 4.2 ––– 23.2 18.5 58.3 16.1

Pena Blanca CDP ------------------ 92 72.8 18.5 – – 8.7 13.0 32.6 54.3 18.5

San Felipe Pueblo CDP (pt.) ---------- 275 6.5 42.9 2.9 – 47.6 22.2 38.5 39.3 40.7

Santa Ana Pueblo CDP (pt.)---------- – –––––––– –

Santo Domingo Pueblo CDP ---------- 362 75.4 1.4 – – 23.2 3.0 52.2 44.8 36.2

San Juan County ---------------------- 28 740 66.0 12.2 4.5 .2 17.1 7.9 33.6 58.5 24.7

Aztec division ---------------------- 4 579 68.3 21.6 2.1 .1 8.0 3.3 29.5 67.2 12.3

Aztec city ----------------------- 1 924 90.3 4.5 1.6 – 3.6 6.1 37.6 56.3 15.7

Farmington city (pt.) --------------- 44 100.0 –––– 25.0 34.1 40.9 36.4

Flora Vista CDP ------------------- 343 70.3 18.7 2.3 – 8.7 – 21.9 78.1 5.0

Bloomfield division------------------- 3 434 66.2 17.1 1.9 .7 14.1 5.2 29.5 65.3 16.4

Bloomfield city (pt.) --------------- 1 679 86.8 4.4 1.8 – 7.0 4.9 33.7 61.4 8.7

Burnham division -------------------- 929 3.8 20.3 22.1 – 53.8 17.4 37.2 45.3 58.8

Ojo Amarillo CDP------------------ 196 5.1 – 88.8 – 6.1 8.2 63.8 28.1 32.1

Farmington division ------------------ 14 361 86.4 4.9 4.3 .1 4.4 4.0 32.6 63.4 9.5

Farmington city (pt.) --------------- 11 935 91.4 1.0 4.4 .1 3.1 4.5 33.5 62.0 8.6

Kirtland CDP --------------------- 1 024 78.2 10.6 3.1 – 8.0 1.3 24.1 74.6 13.9

Naschitti division -------------------- 574 – 1.2 9.4 2.8 86.6 27.4 47.7 24.9 88.5

Naschitti CDP--------------------- 84 – – 7.1 8.3 84.5 10.7 15.5 73.8 100.0

Shiprock-Sanostee division ------------- 3 702 25.1 19.2 5.3 .3 50.1 22.2 43.2 34.6 78.1

Newcomb CDP -------------------- 101 – 35.6 5.9 – 58.4 44.6 34.7 20.8 73.3

Sanostee CDP -------------------- 162 – 11.7 7.4 – 80.9 16.7 48.1 35.2 85.2

Shiprock CDP--------------------- 1 823 50.0 18.4 5.7 – 25.9 20.7 39.9 39.4 72.5

Simpson-Chaco division --------------- 1 161 16.3 28.5 5.6 .5 49.1 19.2 33.7 47.1 57.5

Bloomfield city (pt.) --------------- – –––––––– – Farmington city (pt.) --------------- – –––––––– –

52 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 53

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Table 13. Fuels and Equipment Characteristics: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Percent withm

House heating fuel Vehicles available

All occupied

housing units Utility gas

Bottled, tank,

or LP gas Electricity

Fuel oil, kerosene, etc. Other or none None 1 2 or moreNo telephone in

unit

San Miguel County -------------------- 8 701 33.4 30.3 5.3 .9 30.0 9.1 36.6 54.3 19.4

Conchas Dam division ---------------- 124 – 94.4 – 4.0 1.6 – 22.6 77.4 3.2

Mosquero village (pt.)-------------- – –––––––– –

Las Vegas division ------------------- 6 748 42.8 25.3 6.5 1.1 24.4 9.8 38.0 52.2 18.2

Las Vegas city-------------------- 5 131 53.1 18.8 7.3 1.3 19.6 11.9 39.6 48.5 15.0

Pecos division ---------------------- 1 161 1.4 46.6 2.2 – 49.9 4.1 32.0 63.9 17.7

Pecos village --------------------- 372 – 55.1 .5 – 44.4 5.6 33.9 60.5 15.3

Trementina division ------------------ 109 – 56.0 – – 44.0 14.7 45.0 40.4 45.0

Villanueva division ------------------- 559 1.3 38.6 – – 60.1 12.0 30.8 57.2 36.0

Santa Fe County ---------------------- 37 840 70.3 9.5 10.1 .3 9.8 5.5 33.6 60.9 7.3

Santa Fe division -------------------- 25 127 84.6 1.5 10.3 .2 3.4 6.5 38.1 55.4 4.8

Agua Fria CDP -------------------- 1 239 86.6 2.7 5.6 – 5.2 3.7 35.4 60.9 8.7

Santa Fe city (pt.)----------------- 22 813 85.7 1.0 10.3 .2 2.9 6.9 38.5 54.6 4.8

Tesuque CDP (pt.) ----------------- – –––––––– – Santa Fe North division --------------- 5 480 59.1 22.0 6.5 .1 12.2 6.1 27.6 66.3 15.9

Chimayo CDP (pt.)----------------- 233 44.6 12.4 – – 42.9 9.0 36.1 54.9 31.8

Cuyamungue CDP------------------ 111 82.0 6.3 – – 11.7 4.5 15.3 80.2 12.6

Espanola city (pt.)----------------- 794 83.4 1.9 9.3 – 5.4 8.6 31.9 59.6 21.0

Jaconita CDP --------------------- 130 77.7 14.6 3.8 – 3.8 – 30.0 70.0 7.7

Nambe CDP ---------------------- 475 64.0 13.7 10.3 .4 11.6 11.2 19.8 69.1 8.4

Pojoaque CDP -------------------- 365 76.4 9.6 5.2 – 8.8 5.2 26.3 68.5 13.4

San Ildefonso Pueblo CDP ----------- 143 81.1 9.8 – 2.8 6.3 13.3 37.8 49.0 21.7

Santa Cruz CDP------------------- 812 45.0 38.9 5.8 – 10.3 2.5 23.4 74.1 26.0

Santa Fe city (pt.)----------------- 24 70.8 29.2 ––– 29.2 – 70.8 – Tesuque CDP (pt.) ----------------- 673 77.0 11.6 4.2 – 7.3 – 35.1 64.9 4.5

Santa Fe South division --------------- 7 233 29.3 27.5 12.3 .6 30.2 1.6 22.6 75.7 9.4

Edgewood CDP (pt.) --------------- 1 004 23.3 50.6 7.7 – 18.4 – 17.8 82.2 4.0

Eldorado at Santa Fe CDP ----------- 890 3.3 8.8 29.9 – 58.1 .7 22.4 77.0 .9

La Cienega CDP ------------------- 365 49.3 22.5 6.0 – 22.2 – 18.1 81.9 16.2

Santa Fe city (pt.)----------------- 52 28.8 19.2 – – 51.9 – 19.2 80.8 –

Sierra County ------------------------ 4 428 56.4 32.7 3.2 .2 7.6 9.5 38.3 52.2 17.5

Truth or Consequences East division ------ 3 653 66.0 25.7 3.3 .1 5.0 11.3 40.5 48.2 18.5

Truth or Consequences city ---------- 2 833 75.8 16.7 3.0 – 4.5 13.8 42.5 43.7 21.4

Williamsburg village ---------------- 224 89.7 3.6 5.4 – 1.3 4.5 45.1 50.4 4.5

Truth or Consequences West division ----- 775 11.0 65.5 3.1 .8 19.6 .8 28.4 70.8 12.6

Socorro County ----------------------- 5 217 31.1 30.8 9.7 .3 28.1 9.5 38.4 52.1 22.1

Claunch division --------------------- 35 – 62.9 – – 37.1 – 25.7 74.3 –

Magdalena division ------------------ 835 1.0 40.4 6.2 .4 52.1 12.0 34.3 53.8 35.8

Magdalena village ----------------- 321 – 47.0 – .9 52.0 10.9 31.5 57.6 23.1

Socorro city (pt.)------------------ – –––––––– –

Rio Grande division ------------------ 4 347 37.2 28.7 10.5 .3 23.4 9.1 39.3 51.6 19.6

Socorro city (pt.)------------------ 3 015 52.9 15.6 12.9 .2 18.4 8.9 43.6 47.6 16.6

Taos County ------------------------- 8 752 35.0 23.6 4.9 .4 36.2 8.2 33.3 58.5 18.2

Arroyo Hondo division ---------------- 1 064 9.0 32.8 5.5 1.0 51.6 5.1 25.5 69.5 9.3

Questa village (pt.) ---------------- – –––––––– – Penasco division--------------------- 427 9.4 7.3 5.9 – 77.5 10.5 25.1 64.4 32.8

Picuris division ---------------------- 647 3.1 32.3 3.6 .3 60.7 13.6 31.2 55.2 34.5

Chamisal CDP -------------------- 100 – 30.0 – – 70.0 25.0 27.0 48.0 33.0

Penasco CDP --------------------- 231 – 42.4 2.6 – 55.0 13.0 31.2 55.8 27.3

Vadito CDP ---------------------- 86 – 34.9 15.1 2.3 47.7 5.8 31.4 62.8 27.9

Questa division --------------------- 1 218 37.5 30.7 3.2 .1 28.5 5.4 32.4 62.2 19.5

Questa village (pt.) ---------------- 580 42.1 27.1 5.2 – 25.7 5.7 32.2 62.1 17.1

Red River town ------------------- 163 96.3 ––– 3.7 – 26.4 73.6 20.9

Taos division ----------------------- 4 438 51.6 18.2 5.0 .3 24.8 7.5 35.8 56.7 12.7

Ranchos De Taos CDP -------------- 609 28.4 30.2 6.2 – 35.1 3.8 25.5 70.8 19.5

Taos town (pt.)------------------- 1 699 79.9 6.1 5.9 – 8.1 12.7 43.6 43.7 11.8

Taos Pueblo division------------------ 779 19.8 25.9 7.2 1.0 46.1 16.9 38.6 44.4 31.6

Taos town (pt.)------------------- 26 73.1 ––– 26.9 23.1 42.3 34.6 30.8

Taos Pueblo CDP ------------------ 400 1.0 29.8 11.0 2.0 56.3 24.3 49.3 26.5 48.0

Tres Piedras division ----------------- 179 – 50.8 – – 49.2 – 29.6 70.4 46.4

Torrance County ---------------------- 3 670 38.4 34.1 2.6 .1 24.7 5.5 29.1 65.4 22.5

Encino division ---------------------- 233 8.6 54.9 – – 36.5 8.6 19.7 71.7 22.3

Encino village--------------------- 56 – 67.9 – – 32.1 – 41.1 58.9 8.9

Estancia division -------------------- 2 791 38.9 36.9 3.0 .2 21.0 4.0 29.9 66.1 21.5

Edgewood CDP (pt.) --------------- 154 7.8 57.1 7.1 – 27.9 – 18.8 81.2 16.9

Estancia town -------------------- 304 74.7 4.9 2.0 – 18.4 13.5 30.6 55.9 19.7

Moriarty city --------------------- 513 84.4 3.7 1.6 – 10.3 5.3 35.3 59.5 18.9

Mountainair division------------------ 646 47.4 14.2 2.0 – 36.4 10.7 29.1 60.2 26.8

Mountainair town ----------------- 359 63.2 3.9 2.8 – 30.1 12.8 32.3 54.9 24.5

Willard village -------------------- 69 60.9 15.9 – – 23.2 10.1 36.2 53.6 49.3

Union County------------------------- 1 615 60.8 30.3 1.4 .5 7.0 9.3 29.7 61.0 10.5

Clayton North division ---------------- 339 1.5 68.7 .3 2.4 27.1 5.3 26.3 68.4 4.4

Clayton town (pt.)----------------- – –––––––– –

Des Moines village----------------- 53 – 94.3 – – 5.7 9.4 41.5 49.1 –

Folsom village -------------------- 56 – 62.5 – 5.4 32.1 – 48.2 51.8 12.5

Grenville village ------------------- 10 – 100.0 –––– 50.0 50.0 –

Clayton South division ---------------- 1 276 76.6 20.1 1.7 – 1.6 10.3 30.6 59.0 12.1

Clayton town (pt.)----------------- 957 95.3 2.2 1.3 – 1.3 10.7 32.1 57.3 10.0

Valencia County----------------------- 15 170 68.6 20.1 2.7 .4 8.2 5.5 25.8 68.6 10.8

Belen division ---------------------- 5 372 77.4 12.5 3.4 .1 6.6 9.4 31.3 59.3 12.9

Belen city ----------------------- 2 310 92.3 1.3 3.6 – 2.8 8.4 35.7 56.0 18.1

Los Chaves CDP (pt.)--------------- 23 39.1 – – – 60.9 39.1 60.9 – –

Los Trujillos-Gabaldon CDP (pt.) ------- 621 78.9 14.2 1.8 – 5.2 9.0 20.1 70.9 6.0

Rio Communities CDP--------------- 1 356 95.4 .8 3.0 – .8 12.3 33.2 54.5 2.5

Los Lunas division ------------------- 9 798 63.7 24.3 2.3 .7 9.1 3.4 22.8 73.8 9.7

Bosque Farms village --------------- 1 310 88.3 3.2 .8 – 7.7 2.4 10.5 87.1 1.8

Isleta Pueblo CDP (pt.) ------------- 121 – 59.5 – – 40.5 14.9 18.2 66.9 22.3

Los Chaves CDP (pt.)--------------- 1 294 54.0 34.2 2.6 – 9.2 3.5 20.6 76.0 7.7

Los Lunas village ------------------ 2 059 91.9 2.3 1.6 – 4.3 3.7 32.0 64.4 9.2

Los Trujillos-Gabaldon CDP (pt.) ------- – –––––––– –

Meadow Lake CDP----------------- 534 15.4 68.0 4.3 – 12.4 1.1 33.9 65.0 19.5

Peralta CDP ---------------------- 1 078 69.5 21.6 2.6 .3 6.0 .6 19.4 80.1 9.6

Tome-Adelino CDP ----------------- 593 49.1 37.1 3.2 – 10.6 11.6 21.9 66.4 10.5

Valencia CDP --------------------- 1 289 74.0 14.4 3.4 – 8.2 3.4 17.7 78.9 6.9

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 53
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 54

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 14. Fuels and Equipment Characteristics: 1990

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Percent withm

House heating fuel Vehicles available

All occupied

housing units Utility gas

Bottled, tank, or LP gas Electricity Fuel oil, kero- sene, etc. Other or none None 1 2 or moreNo telephone in

unit

The State ------------------- 542 709 70.1 11.9 9.1 .3 8.7 6.9 34.1 59.0 12.4

COUNTY Bernalillo County ---------------------- 185 582 84.1 3.0 10.1 .1 2.7 6.8 34.9 58.3 6.8

Catron County ------------------------ 1 010 – 37.9 2.8 – 59.3 3.6 26.2 70.2 9.5

Chaves County------------------------ 20 589 73.0 10.2 15.8 .1 .9 6.1 37.1 56.7 13.1

Cibola County ------------------------ 7 292 51.4 18.9 6.1 .8 22.7 11.0 31.1 57.9 24.9

Colfax County ------------------------ 4 959 53.7 20.5 10.0 3.9 11.9 8.6 33.6 57.9 12.3

Curry County ------------------------- 15 113 72.9 8.5 16.9 .3 1.5 5.8 35.1 59.1 10.1

DeBaca County ----------------------- 913 43.5 41.6 2.8 .2 11.8 8.1 31.8 60.1 9.9

Dona Ana County --------------------- 45 029 67.0 17.5 12.6 .2 2.7 5.7 35.6 58.7 12.3

Eddy County ------------------------- 17 472 78.5 9.6 10.8 – 1.1 6.2 32.4 61.4 10.4 Grant County------------------------- 9 773 60.7 17.7 5.1 – 16.6 6.4 30.4 63.2 12.8

Guadalupe County --------------------- 1 520 3.3 78.0 .2 – 18.5 10.2 36.6 53.2 23.0

Harding County ----------------------- 396 .5 84.6 1.3 .5 13.1 7.8 22.5 69.7 8.1

Hidalgo County ----------------------- 2 004 50.6 21.6 10.4 2.3 15.1 8.1 31.5 60.4 13.9

Lea County -------------------------- 19 306 75.5 9.3 14.4 .1 .7 6.5 35.4 58.1 15.0

Lincoln County ------------------------ 4 789 40.2 39.1 4.6 .5 15.6 6.0 31.9 62.1 15.0

Los Alamos County -------------------- 7 213 91.5 .9 2.5 .4 4.7 3.2 23.6 73.2 1.9

Luna County ------------------------- 6 797 59.0 26.9 5.9 1.0 7.2 9.6 38.2 52.3 17.2

McKinley County ---------------------- 16 588 40.0 15.8 6.8 .3 37.1 15.4 40.7 43.9 44.7

Mora County ------------------------- 1 519 3.6 28.7 4.1 .2 63.4 8.5 29.0 62.5 20.0

Otero County------------------------- 18 155 66.5 20.5 4.7 .2 8.1 5.7 34.9 59.4 11.7

Quay County ------------------------- 4 238 57.0 30.5 6.6 .3 5.7 6.3 36.8 56.9 9.6

Rio Arriba County --------------------- 11 461 48.3 21.8 3.4 .1 26.4 8.9 27.5 63.6 26.5

Roosevelt County---------------------- 5 991 55.9 22.9 17.4 .3 3.5 5.4 36.8 57.9 14.0

Sandoval County ---------------------- 20 867 71.8 9.3 5.4 .4 13.1 4.9 28.6 66.5 10.2

San Juan County ---------------------- 28 740 66.0 12.2 4.5 .2 17.1 7.9 33.6 58.5 24.7

San Miguel County -------------------- 8 701 33.4 30.3 5.3 .9 30.0 9.1 36.6 54.3 19.4

Santa Fe County ---------------------- 37 840 70.3 9.5 10.1 .3 9.8 5.5 33.6 60.9 7.3

Sierra County ------------------------ 4 428 56.4 32.7 3.2 .2 7.6 9.5 38.3 52.2 17.5

Socorro County ----------------------- 5 217 31.1 30.8 9.7 .3 28.1 9.5 38.4 52.1 22.1

Taos County ------------------------- 8 752 35.0 23.6 4.9 .4 36.2 8.2 33.3 58.5 18.2

Torrance County ---------------------- 3 670 38.4 34.1 2.6 .1 24.7 5.5 29.1 65.4 22.5

Union County------------------------- 1 615 60.8 30.3 1.4 .5 7.0 9.3 29.7 61.0 10.5

Valencia County----------------------- 15 170 68.6 20.1 2.7 .4 8.2 5.5 25.8 68.6 10.8

PLACE AND COUNTY SUBDIVISION Acomita Lake CDP, Cibola County--------- 71 – 45.1 12.7 2.8 39.4 16.9 39.4 43.7 31.0

Agua Fria CDP, Santa Fe County --------- 1 239 86.6 2.7 5.6 – 5.2 3.7 35.4 60.9 8.7

Alamogordo city, Otero County ---------- 10 482 91.9 1.8 4.3 .3 1.8 5.5 37.3 57.2 8.7

Albuquerque city, Bernalillo County-------- 153 818 87.0 .9 10.7 .1 1.3 7.2 36.7 56.1 6.5

Alcalde CDP, Rio Arriba County ---------- 104 53.8 26.0 3.8 – 16.3 19.2 23.1 57.7 32.7

Angel Fire village, Colfax County --------- 40 – 12.5 87.5 ––– 60.0 40.0 40.0

Anthony CDP, Dona Ana County---------- 1 303 73.7 21.7 3.5 – 1.1 9.6 36.5 54.0 27.0

Artesia city, Eddy County--------------- 3 916 87.2 3.3 8.1 – 1.4 8.7 34.0 57.3 11.0

Aztec city, San Juan County ------------ 1 924 90.3 4.5 1.6 – 3.6 6.1 37.6 56.3 15.7

Bayard city, Grant County -------------- 865 87.6 2.2 2.2 – 8.0 11.8 34.9 53.3 12.9

Belen city, Valencia County ------------- 2 310 92.3 1.3 3.6 – 2.8 8.4 35.7 56.0 18.1

Bernalillo town, Sandoval County --------- 1 966 81.0 7.8 4.5 – 6.7 7.1 33.2 59.7 12.4

Black Rock CDP, McKinley County--------- 200 9.0 35.5 17.5 – 38.0 20.0 48.5 31.5 28.5

Bloomfield city, San Juan County --------- 1 679 86.8 4.4 1.8 – 7.0 4.9 33.7 61.4 8.7

Boles Acres CDP, Otero County ---------- 528 – 85.8 3.2 – 11.0 2.3 20.6 77.1 13.1

Bosque Farms village, Valencia County ----- 1 310 88.3 3.2 .8 – 7.7 2.4 10.5 87.1 1.8

Cannon AFB CDP, Curry County ---------- 748 99.6 – .4 – – .5 43.9 55.6 1.7

Capitan village, Lincoln County ----------- 370 33.8 41.1 .8 .8 23.5 3.5 32.4 64.1 11.6

Carlsbad city, Eddy County-------------- 9 255 85.4 2.5 11.5 – .6 6.1 34.9 59.0 9.3

Carlsbad North CDP, Eddy County--------- 460 84.3 1.5 12.6 – 1.5 – 12.2 87.8 1.3

Carrizozo town, Lincoln County ---------- 435 45.3 32.4 1.6 2.3 18.4 14.7 39.1 46.2 14.7

Causey village, Roosevelt County --------- 24 – 100.0 –––– 8.3 91.7 8.3

Central village, Grant County ------------ 593 95.1 1.3 .5 – 3.0 8.6 31.5 59.9 19.1

Chama village, Rio Arriba County --------- 378 65.6 12.2 – – 22.2 7.1 30.7 62.2 23.3

Chamisal CDP, Taos County ------------- 100 – 30.0 – – 70.0 25.0 27.0 48.0 33.0

Chaparral CDP, Dona Ana County--------- 868 6.6 87.8 5.6 – – 2.5 37.1 60.4 10.3

Chimayo CDP------------------------- 957 34.7 29.5 1.6 – 34.3 6.4 27.7 65.9 23.6

Rio Arriba County ------------------- 724 31.5 34.9 2.1 – 31.5 5.5 25.0 69.5 21.0

Santa Fe County -------------------- 233 44.6 12.4 – – 42.9 9.0 36.1 54.9 31.8

Cimarron village, Colfax County ---------- 313 1.3 68.4 – – 30.4 9.6 33.2 57.2 14.7

Clayton town, Union County------------- 957 95.3 2.2 1.3 – 1.3 10.7 32.1 57.3 10.0

Cloudcroft village, Otero County---------- 229 – 56.3 20.1 – 23.6 2.2 36.2 61.6 3.1

Clovis city, Curry County --------------- 11 676 78.2 1.3 19.6 .2 .7 6.8 35.6 57.6 10.9

Cochiti CDP, Sandoval County------------ 168 95.8 4.2 ––– 23.2 18.5 58.3 16.1

Columbus village, Luna County ----------- 232 1.3 86.2 3.4 .9 8.2 8.2 44.0 47.8 27.6

Corona village, Lincoln County ----------- 90 45.6 23.3 – – 31.1 7.8 38.9 53.3 16.7

Corrales village ----------------------- 2 042 59.4 20.0 7.7 .5 12.3 1.4 21.4 77.2 3.7

Bernalillo County -------------------- 223 79.4 10.3 7.2 – 3.1 – 13.0 87.0 –

Sandoval County -------------------- 1 819 57.0 21.2 7.8 .6 13.4 1.6 22.4 76.0 4.2

Crownpoint CDP, McKinley County -------- 512 27.0 15.6 25.0 – 32.4 9.2 56.6 34.2 35.0

Cuba village, Sandoval County ----------- 272 86.4 4.0 1.1 – 8.5 11.8 40.8 47.4 36.0

Cuyamungue CDP, Santa Fe County ------- 111 82.0 6.3 – – 11.7 4.5 15.3 80.2 12.6

Deming city, Luna County--------------- 4 061 85.5 7.0 4.7 .6 2.2 13.5 41.8 44.7 17.4

Des Moines village, Union County--------- 53 – 94.3 – – 5.7 9.4 41.5 49.1 –

Dexter town, Chaves County ------------ 284 82.4 5.6 10.2 1.1 .7 5.6 38.7 55.6 13.7

Dona Ana CDP, Dona Ana County -------- 284 60.9 21.8 10.9 3.9 2.5 6.7 50.7 42.6 25.7

Dora village, Roosevelt County ----------- 51 – 94.1 – – 5.9 – 27.5 72.5 3.9

Dulce CDP, Rio Arriba County------------ 657 84.9 3.0 1.7 .3 10.0 13.9 37.3 48.9 44.6

Eagle Nest village, Colfax County --------- 71 9.9 46.5 5.6 – 38.0 – 22.5 77.5 5.6

Edgewood CDP ----------------------- 1 158 21.2 51.5 7.6 – 19.7 – 18.0 82.0 5.7

Santa Fe County -------------------- 1 004 23.3 50.6 7.7 – 18.4 – 17.8 82.2 4.0

Torrance County -------------------- 154 7.8 57.1 7.1 – 27.9 – 18.8 81.2 16.9

Eldorado at Santa Fe CDP, Santa Fe County - 890 3.3 8.8 29.9 – 58.1 .7 22.4 77.0 .9

Elida town, Roosevelt County ------------ 76 – 69.7 30.3 – – 6.6 53.9 39.5 31.6

Encino village, Torrance County----------- 56 – 67.9 – – 32.1 – 41.1 58.9 8.9

Espanola city ------------------------- 3 011 85.0 4.3 5.1 – 5.6 9.5 32.6 57.9 24.9

Rio Arriba County ------------------- 2 217 85.5 5.2 3.7 – 5.6 9.8 32.9 57.3 26.3

Santa Fe County -------------------- 794 83.4 1.9 9.3 – 5.4 8.6 31.9 59.6 21.0

Estancia town, Torrance County ---------- 304 74.7 4.9 2.0 – 18.4 13.5 30.6 55.9 19.7

54 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 55

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 14. Fuels and Equipment Characteristics: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Percent withm

House heating fuel Vehicles available

All occupied

housing units Utility gas

Bottled, tank, or LP gas Electricity Fuel oil, kero- sene, etc. Other or none None 1 2 or moreNo telephone in

unit

PLACE AND COUNTY SUBDIVISIONm Con. Eunice city, Lea County ---------------- 943 91.4 2.9 5.1 – .6 10.6 34.8 54.6 15.5

Farmington city, San Juan County -------- 11 979 91.5 1.0 4.4 .1 3.1 4.6 33.5 61.9 8.7

Flora Vista CDP, San Juan County -------- 343 70.3 18.7 2.3 – 8.7 – 21.9 78.1 5.0

Floyd village, Roosevelt County ---------- 47 34.0 48.9 4.3 – 12.8 – 8.5 91.5 14.9

Folsom village, Union County ------------ 56 – 62.5 – 5.4 32.1 – 48.2 51.8 12.5

Fort Sumner village, DeBaca County ------- 533 56.3 36.0 .9 .4 6.4 10.3 38.3 51.4 9.9

Gallup city, McKinley County ------------ 6 204 89.2 1.4 5.4 – 4.0 9.1 34.8 56.2 14.6

Grady village, Curry County ------------- 35 – 82.9 17.1 –––– 100.0 –

Grants city, Cibola County -------------- 2 957 80.3 3.2 8.1 – 8.5 9.6 30.7 59.7 17.6

Grenville village, Union County ----------- 10 – 100.0 –––– 50.0 50.0 –

Hagerman town, Chaves County---------- 325 84.9 7.4 3.1 – 4.6 14.5 28.3 57.2 19.4

Hatch village, Dona Ana County ---------- 406 74.9 18.0 1.0 – 6.2 8.9 47.3 43.8 22.9

Hobbs city, Lea County ---------------- 10 242 82.0 1.5 15.9 – .6 7.0 37.5 55.6 15.9

Holloman AFB CDP, Otero County--------- 1 375 89.6 .6 9.8 – – .6 48.4 51.1 3.5

Hope village, Eddy County -------------- 45 – 100.0 –––– 28.9 71.1 11.1

House village, Quay County ------------- 40 – 90.0 – – 10.0 5.0 37.5 57.5 5.0

Hurley town, Grant County-------------- 552 87.3 – 4.3 – 8.3 3.6 19.9 76.4 6.0

Isleta Pueblo CDP---------------------- 550 50.7 20.9 3.1 – 25.3 16.5 30.2 53.3 20.0

Bernalillo County -------------------- 429 65.0 10.0 4.0 – 21.0 17.0 33.6 49.4 19.3

Valencia County--------------------- 121 – 59.5 – – 40.5 14.9 18.2 66.9 22.3

Jaconita CDP, Santa Fe County----------- 130 77.7 14.6 3.8 – 3.8 – 30.0 70.0 7.7

Jal city, Lea County ------------------- 763 91.7 1.0 6.2 .4 .7 5.2 35.6 59.1 14.3

Jemez Pueblo CDP, Sandoval County ------ 310 4.5 23.9 8.1 – 63.5 26.8 32.6 40.6 63.9

Jemez Springs village, Sandoval County ---- 149 – 27.5 2.0 – 70.5 8.7 23.5 67.8 10.7

Kirtland CDP, San Juan County----------- 1 024 78.2 10.6 3.1 – 8.0 1.3 24.1 74.6 13.9

La Cienega CDP, Santa Fe County--------- 365 49.3 22.5 6.0 – 22.2 – 18.1 81.9 16.2

Laguna CDP, Cibola County ------------- 152 23.0 32.9 – 17.8 26.3 2.6 52.6 44.7 33.6

Lake Arthur town, Chaves County -------- 105 70.5 29.5 ––– 7.6 31.4 61.0 18.1

La Luz CDP, Otero County -------------- 585 46.8 35.7 7.9 – 9.6 4.8 32.1 63.1 12.1

Las Cruces city, Dona Ana County -------- 23 797 77.4 4.4 16.3 .1 1.8 7.1 38.9 54.0 9.7

Las Vegas city, San Miguel County ------- 5 131 53.1 18.8 7.3 1.3 19.6 11.9 39.6 48.5 15.0

Logan village, Quay County ------------- 353 – 82.2 3.1 – 14.7 4.0 26.6 69.4 4.0

Lordsburg city, Hidalgo County----------- 1 034 71.3 14.6 8.7 .7 4.7 13.1 44.2 42.7 18.9

Los Alamos CDP, Los Alamos County ------ 4 839 92.3 .3 3.2 .6 3.6 4.1 29.3 66.6 2.7

Los Chaves CDP, Valencia County--------- 1 317 53.8 33.6 2.6 – 10.1 4.1 21.3 74.6 7.6

Los Lunas village, Valencia County -------- 2 059 91.9 2.3 1.6 – 4.3 3.7 32.0 64.4 9.2

Los Ranchos de Albuquerque village, Bernalillo County ------------------------- 1 454 91.7 .6 1.0 – 6.7 5.1 20.6 74.3 6.7

Los Trujillos-Gabaldon CDP, Valencia County - 621 78.9 14.2 1.8 – 5.2 9.0 20.1 70.9 6.0

Loving village, Eddy County ------------- 391 91.6 .8 6.9 – .8 7.7 37.1 55.2 18.2

Lovington city, Lea County -------------- 3 075 88.7 2.5 8.4 – .3 8.1 37.7 54.3 18.4

Magdalena village, Socorro County-------- 321 – 47.0 – .9 52.0 10.9 31.5 57.6 23.1

Maxwell village, Colfax County ---------- 105 80.0 6.7 – – 13.3 16.2 32.4 51.4 15.2

Meadow Lake CDP, Valencia County------- 534 15.4 68.0 4.3 – 12.4 1.1 33.9 65.0 19.5

Melrose village, Curry County------------ 287 46.7 46.7 4.2 2.4 – 5.9 28.2 65.9 9.8

Mescalero CDP, Otero County------------ 300 2.0 63.3 .7 – 34.0 34.0 29.7 36.3 61.7

Mesilla town, Dona Ana County ---------- 727 84.3 4.5 8.4 – 2.8 5.1 34.3 60.7 12.4

Mesita CDP, Cibola County-------------- 163 57.7 8.6 1.2 – 32.5 23.3 39.3 37.4 27.0

Mexican Springs CDP, McKinley County ---- 42 21.4 19.0 19.0 – 40.5 – 59.5 40.5 40.5

Milan village, Cibola County ------------- 608 78.5 5.4 2.1 .5 13.5 6.6 25.3 68.1 24.2

Moriarty city, Torrance County----------- 513 84.4 3.7 1.6 – 10.3 5.3 35.3 59.5 18.9

Mosquero village ---------------------- 66 – 80.3 – 3.0 16.7 22.7 30.3 47.0 19.7

Harding County --------------------- 66 – 80.3 – 3.0 16.7 22.7 30.3 47.0 19.7

San Miguel County ------------------ – –––––––– –

Mountainair town, Torrance County ------- 359 63.2 3.9 2.8 – 30.1 12.8 32.3 54.9 24.5

Nambe CDP, Santa Fe County ----------- 475 64.0 13.7 10.3 .4 11.6 11.2 19.8 69.1 8.4

Naschitti CDP, San Juan County ---------- 84 – – 7.1 8.3 84.5 10.7 15.5 73.8 100.0

Navajo CDP, McKinley County ----------- 391 66.8 19.2 14.1 – – 14.1 51.9 34.0 46.0

Newcomb CDP, San Juan County --------- 101 – 35.6 5.9 – 58.4 44.6 34.7 20.8 73.3

North Acomita Village CDP, Cibola County -- 99 40.4 26.3 2.0 3.0 28.3 6.1 48.5 45.5 28.3

North Valley CDP, Bernalillo County ------- 4 473 87.8 5.7 2.3 .1 4.2 4.6 27.9 67.5 8.1

Ojo Amarillo CDP, San Juan County ------- 196 5.1 – 88.8 – 6.1 8.2 63.8 28.1 32.1

Paguate CDP, Cibola County ------------- 159 – 70.4 – – 29.6 19.5 34.0 46.5 28.9

Paradise Hills CDP, Bernalillo County------- 1 904 94.9 – 3.2 – 2.0 1.5 24.4 74.1 .5

Paraje CDP, Cibola County -------------- 160 61.3 15.6 – – 23.1 15.0 30.0 55.0 18.8

Pecos village, San Miguel County --------- 372 – 55.1 .5 – 44.4 5.6 33.9 60.5 15.3

Pena Blanca CDP, Sandoval County-------- 92 72.8 18.5 – – 8.7 13.0 32.6 54.3 18.5

Penasco CDP, Taos County -------------- 231 – 42.4 2.6 – 55.0 13.0 31.2 55.8 27.3

Peralta CDP, Valencia County ------------ 1 078 69.5 21.6 2.6 .3 6.0 .6 19.4 80.1 9.6

Placitas CDP, Sandoval County ----------- 630 17.6 41.3 22.4 – 18.7 – 14.9 85.1 1.4

Pojoaque CDP, Santa Fe County ---------- 365 76.4 9.6 5.2 – 8.8 5.2 26.3 68.5 13.4

Portales city, Roosevelt County----------- 3 818 76.1 1.3 20.5 – 2.1 7.3 43.8 48.9 16.7

Questa village, Taos County ------------- 580 42.1 27.1 5.2 – 25.7 5.7 32.2 62.1 17.1

Ranchos De Taos CDP, Taos County ------- 609 28.4 30.2 6.2 – 35.1 3.8 25.5 70.8 19.5

Raton city, Colfax County -------------- 2 881 75.6 5.1 10.1 4.0 5.1 10.4 38.0 51.6 11.8

Red River town, Taos County ------------ 163 96.3 ––– 3.7 – 26.4 73.6 20.9

Reserve village, Catron County ----------- 103 – 38.8 – – 61.2 11.7 20.4 68.0 5.8

Rio Communities CDP, Valencia County----- 1 356 95.4 .8 3.0 – .8 12.3 33.2 54.5 2.5

Rio Rancho city, Sandoval County--------- 11 658 91.3 1.2 5.2 .1 2.2 3.0 27.4 69.6 1.4

Roswell city, Chaves County------------- 16 195 82.1 1.0 16.4 .1 .4 6.6 39.9 53.4 11.3

Roy village, Harding County ------------- 149 1.3 85.2 1.3 – 12.1 8.7 25.5 65.8 6.7

Ruidoso village, Lincoln County----------- 1 895 59.7 27.3 7.4 .4 5.2 5.8 33.6 60.6 12.0

Ruidoso Downs village, Lincoln County ----- 344 37.8 48.3 1.5 .6 11.9 4.9 35.8 59.3 20.9

Sandia CDP, Bernalillo County------------ 1 772 89.1 .9 10.0 – – 1.2 33.8 65.0 1.8

Sandia Heights CDP, Bernalillo County ----- 1 353 26.7 28.8 38.7 – 5.9 – 13.8 86.2 .4

San Felipe Pueblo CDP, Sandoval County --- 275 6.5 42.9 2.9 – 47.6 22.2 38.5 39.3 40.7

San Ildefonso Pueblo CDP, Santa Fe County - 143 81.1 9.8 – 2.8 6.3 13.3 37.8 49.0 21.7

San Jon village, Quay County------------ 103 – 83.5 12.6 1.9 1.9 – 40.8 59.2 11.7

San Juan CDP, Rio Arriba County --------- 118 86.4 ––– 13.6 22.0 42.4 35.6 30.5

Sanostee CDP, San Juan County---------- 162 – 11.7 7.4 – 80.9 16.7 48.1 35.2 85.2

Santa Ana Pueblo CDP, Sandoval County --- 120 60.0 7.5 3.3 1.7 27.5 10.8 26.7 62.5 21.7

Santa Clara Pueblo CDP, Rio Arriba County-- 372 84.7 2.4 2.4 – 10.5 10.5 34.1 55.4 24.2

Santa Cruz CDP, Santa Fe County -------- 812 45.0 38.9 5.8 – 10.3 2.5 23.4 74.1 26.0

Santa Fe city, Santa Fe County ---------- 22 889 85.5 1.0 10.3 .2 3.0 6.9 38.4 54.7 4.7

Santa Rosa city, Guadalupe County ------- 801 3.2 88.6 – – 8.1 12.6 41.4 45.9 22.6

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 55
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 56

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 14. Fuels and Equipment Characteristics: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Percent withm

House heating fuel Vehicles available

All occupied

housing units Utility gas

Bottled, tank, or LP gas Electricity Fuel oil, kero- sene, etc. Other or none None 1 2 or moreNo telephone in

unit

PLACE AND COUNTY SUBDIVISIONm Con.

Santo Domingo Pueblo CDP, Sandoval County ---------------------------- 362 75.4 1.4 – – 23.2 3.0 52.2 44.8 36.2

San Ysidro village, Sandoval County------- 69 – 31.9 – – 68.1 11.6 30.4 58.0 21.7

Seama CDP, Cibola County-------------- 97 63.9 15.5 4.1 3.1 13.4 15.5 29.9 54.6 20.6

Shiprock CDP, San Juan County ---------- 1 823 50.0 18.4 5.7 – 25.9 20.7 39.9 39.4 72.5

Silver City town, Grant County----------- 3 870 85.2 3.2 5.2 – 6.4 9.3 37.9 52.8 10.8

Skyline-Ganipa CDP, Cibola County -------- 185 56.2 15.7 1.1 – 27.0 15.7 35.1 49.2 26.5

Socorro city, Socorro County ------------ 3 015 52.9 15.6 12.9 .2 18.4 8.9 43.6 47.6 16.6

South Valley CDP, Bernalillo County ------- 11 272 87.2 4.3 4.1 .1 4.3 7.4 28.2 64.4 10.0

Springer town, Colfax County------------ 486 57.8 17.9 9.9 6.8 7.6 13.0 32.7 54.3 14.6

Sunland Park city, Dona Ana County ------ 1 850 81.5 14.5 2.9 – 1.1 6.6 46.1 47.4 34.8

Taos town, Taos County --------------- 1 725 79.8 6.0 5.9 – 8.3 12.8 43.6 43.6 12.1

Taos Pueblo CDP, Taos County ----------- 400 1.0 29.8 11.0 2.0 56.3 24.3 49.3 26.5 48.0

Tatum town, Lea County --------------- 278 70.9 22.3 5.4 – 1.4 3.2 36.0 60.8 13.7

Tesuque CDP, Santa Fe County----------- 673 77.0 11.6 4.2 – 7.3 – 35.1 64.9 4.5

Texico city, Curry County --------------- 328 75.9 11.0 7.6 3.0 2.4 8.2 41.8 50.0 17.7

Tijeras village, Bernalillo County ---------- 108 27.8 50.0 – – 22.2 – 16.7 83.3 28.7

Tohatchi CDP, McKinley County ---------- 214 70.1 16.8 13.1 ––– 56.5 43.5 24.8

Tome-Adelino CDP, Valencia County ------- 593 49.1 37.1 3.2 – 10.6 11.6 21.9 66.4 10.5

Truth or Consequences city, Sierra County -- 2 833 75.8 16.7 3.0 – 4.5 13.8 42.5 43.7 21.4

Tucumcari city, Quay County ------------ 2 695 86.6 3.3 7.8 .3 2.0 8.7 42.4 48.9 12.2

Tularosa village, Otero County ----------- 976 72.0 17.2 1.5 – 9.2 8.1 37.7 54.2 20.7

University Park CDP, Dona Ana County----- 636 73.3 2.2 24.5 – – 3.8 54.7 41.5 1.6

Vadito CDP, Taos County --------------- 86 – 34.9 15.1 2.3 47.7 5.8 31.4 62.8 27.9

Valencia CDP, Valencia County ----------- 1 289 74.0 14.4 3.4 – 8.2 3.4 17.7 78.9 6.9

Vaughn town, Guadalupe County --------- 268 3.7 82.1 1.1 – 13.1 14.9 39.9 45.1 18.3

Virden village, Hidalgo County ----------- 39 – 74.4 – – 25.6 – 30.8 69.2 –

Wagon Mound village, Mora County ------ 141 35.5 45.4 – – 19.1 19.1 26.2 54.6 17.7

White Rock CDP, Los Alamos County ------ 2 180 90.8 1.4 .7 – 7.1 1.2 11.1 87.7 –

White Sands CDP, Dona Ana County ------ 702 87.9 2.7 7.7 .7 1.0 – 44.0 56.0 1.7

Willard village, Torrance County ---------- 69 60.9 15.9 – – 23.2 10.1 36.2 53.6 49.3

Williamsburg village, Sierra County-------- 224 89.7 3.6 5.4 – 1.3 4.5 45.1 50.4 4.5

Zia Pueblo CDP, Sandoval County--------- 145 – 44.1 – – 55.9 9.0 41.4 49.7 46.9

Zuni Pueblo CDP, McKinley County -------- 1 264 2.9 28.5 .6 – 68.0 17.0 47.8 35.2 30.1

56 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 57

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 15. Homeowner and Renter Characteristics: 1990

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

All owner-occupied housing units

Percent with householder moved into unitm

Specified owner-occupied housing units

With a mortgage Not mortgaged

All renter-occupied housing units

Percent with householder moved into unitm

Specified renter paying cash rent

Total

1989 to

March

1990 1969 orearlier Total

Median selected monthly

owner costs

(dollars)

Median selected

monthly

owner costs as

a percentage of

household income in

1989 Total

Median selected monthly

owner costs

(dollars)

Median selected

monthly

owner costs as

a percentage of

household income in

1989 Total

1989 to

March

1990 1969 orearlier

Median

gross

rent (dollars)

Median

gross rent

as a percentage of

household income in

1989

The State ------------------- 365 913 10.6 21.3 163 863 651 21.6 102 107 163 12.5 176 796 51.2 1.8 372 26.5

Bernalillo County ---------------------- 112 723 9.7 21.4 69 985 739 22.3 25 476 192 12.3 72 859 52.7 1.1 402 27.4

Albuquerque division ----------------- 107 782 9.7 21.8 67 824 737 22.3 24 119 194 12.3 72 278 52.9 1.1 402 27.4

Albuquerque city (pt.) -------------- 88 186 9.9 21.1 58 488 741 22.1 18 652 198 12.2 65 632 53.5 1.0 402 27.3

Corrales village (pt.) --------------- 205 12.7 20.0 102 1 012 15.7 53 213 10.0 18 27.8 – 1 000+ 34.3

Los Ranchos de Albuquerque village ---- 1 159 5.8 22.8 519 839 22.3 362 233 11.7 295 46.1 8.5 458 29.5

North Valley CDP------------------ 3 562 10.2 26.3 1 266 710 22.7 945 176 12.2 911 47.7 1.9 397 31.0

Paradise Hills CDP ----------------- 1 524 10.7 11.5 1 275 786 21.4 206 205 10.8 380 46.3 1.8 604 24.5

Sandia CDP ---------------------- 10 100.0 – ––– 10 100– – 1 762 38.2 – 404 21.8

Sandia Heights CDP ---------------- 1 201 16.0 – 1 016 1 431 23.0 97 318 10.0 152 53.9 – 849 26.4

South Valley CDP------------------ 8 638 6.4 37.2 3 646 576 24.0 3 399 168 13.5 2 634 49.6 2.9 354 32.5

Bernalillo East division ---------------- 4 117 10.2 9.9 2 080 863 24.3 701 188 12.4 472 38.8 – 406 24.1

Tijeras village--------------------- 84 4.8 17.9 29 610 23.8 18 178 16.4 24 16.7 – 688 27.5

Bernalillo West division --------------- 238 7.6 19.3 23 573 20.6 200 100– 12.7 46 28.3 – 179 20.0

Albuquerque city (pt.) -------------- – – – – – – – – – – – –– –

Isleta Pueblo division ----------------- 586 3.2 32.1 58 274 16.1 456 108 12.9 63 15.9 – 175 14.7

Isleta Pueblo CDP (pt.) ------------- 382 3.4 41.4 12 200– 10.0 338 100– 12.8 47 14.9 – 169 15.0

Catron County ------------------------ 771 7.1 28.7 37 422 35.0+ 197 148 12.8 239 47.7 5.4 249 19.7

Quemado division ------------------- 251 12.7 25.5 8 450 35.0+ 48 158 18.5 103 45.6 – 327 14.2

Reserve division --------------------- 520 4.4 30.2 29 397 35.0+ 149 146 11.5 136 49.3 9.6 237 35.0

Reserve village-------------------- 66 – 48.5 ––– 32 142 10.0 37 54.1 – 227 35.0+

Chaves County------------------------ 14 402 9.8 21.3 6 976 459 19.4 4 484 145 12.7 6 187 55.4 1.8 335 27.9

Dexter division --------------------- 429 14.7 15.6 156 381 20.2 108 136 14.0 208 48.1 10.1 239 18.0

Dexter town --------------------- 210 10.5 19.0 98 366 17.8 70 141 14.0 74 55.4 – 275 25.0

Hagerman division ------------------- 486 8.4 32.5 104 309 24.0 191 121 12.3 204 54.9 3.4 233 24.6

Hagerman town------------------- 226 8.4 35.0 73 364 26.1 111 121 11.6 99 64.6 – 218 34.0

Lake Arthur town ----------------- 94 2.1 38.3 16 243 27.5 59 116 15.4 11 63.6 – 225 17.5

Northeast Chaves division ------------- 27 – 74.1 ––– ––– 20 50.0 –– –

Northwest Chaves division ------------- 669 7.5 16.3 239 518 19.8 128 161 12.7 205 59.5 – 306 22.8

Roswell city (pt.)------------------ 6 – – 6 550 10.0 – – – – – –– –

Roswell division --------------------- 11 643 9.6 21.1 6 201 461 19.3 3 830 147 12.8 4 919 57.4 1.2 339 28.5

Roswell city (pt.)------------------ 11 044 9.8 21.3 6 006 457 19.3 3 735 147 12.8 4 764 57.6 1.1 340 28.6

Southeast Chaves division ------------- 293 11.6 26.3 79 557 19.3 31 163 10.0 154 30.5 5.2 365 35.0+

Southwest Chaves division ------------- 855 11.8 20.8 197 424 19.6 196 118 11.0 477 45.3 3.1 353 23.6

Roswell city (pt.)------------------ 138 23.2 4.3 104 438 25.7 26 125 14.4 243 51.4 – 372 24.0

Cibola County ------------------------ 5 380 8.3 26.5 1 463 381 18.3 2 070 137 13.0 1 912 47.5 3.0 245 21.3

Fence Lake division ------------------ 27 – 25.9 ––– 5 125 32.5 7 42.9 – 325 17.5

Grants division---------------------- 4 113 8.0 27.1 1 138 433 20.7 1 483 154 13.3 1 452 54.4 1.9 257 22.4

Acomita Lake CDP ----------------- 67 13.4 40.3 ––– 32 100– 13.3 4 – – 325 10.0

Grants city ---------------------- 1 919 8.5 31.2 783 451 20.6 771 163 13.1 1 038 55.4 1.0 252 21.2

Milan village --------------------- 434 7.6 18.4 108 446 26.1 97 182 14.0 174 63.2 1.1 263 33.6

North Acomita Village CDP----------- 69 – 44.9 ––– 46 134 11.8 30 70.0 – 383 15.0

Skyline-Ganipa CDP ---------------- 179 3.4 8.4 108 200– 14.6 45 100– 11.3 6 16.7 33.3 183 35.0+ Laguna division --------------------- 917 8.0 26.0 314 200– 12.8 416 109 12.3 279 21.9 10.8 213 20.1

Laguna CDP---------------------- 122 11.5 37.7 31 200– 11.9 79 102 10.5 30 63.3 – 221 15.8

Mesita CDP ---------------------- 133 9.8 26.3 50 200– 11.1 62 100– 11.3 30 – – 135 16.0

Paguate CDP --------------------- 97 16.5 44.3 6 450 35.0+ 76 121 16.9 62 22.6 24.2 356 30.0

Paraje CDP ---------------------- 117 12.0 29.9 41 219 14.6 39 100– 10.0 43 20.9 – 182 10.7

Seama CDP ---------------------- 83 9.6 22.9 36 240 12.4 43 132 13.0 14 – 35.7 200 17.5

Zuni-Ramah Navajo division ------------ 323 13.3 20.4 11 250 12.2 166 100– 10.8 174 31.0 – 206 15.4

Colfax County ------------------------ 3 500 8.8 30.3 1 047 499 20.7 1 336 160 13.4 1 459 47.3 2.8 266 26.5

Cimarron division -------------------- 530 11.1 16.4 162 587 24.4 174 184 13.6 318 40.3 4.1 325 25.6

Angel Fire village ------------------ 3 –– ––– ––– 37 75.7 – 325 35.0+

Cimarron village------------------- 231 8.7 25.5 63 528 22.8 86 171 14.3 82 22.0 11.0 260 22.9

Eagle Nest village ----------------- 47 – 6.4 7 750 27.5 12 200 10.0 24 54.2 – 313 24.4

Raton division ---------------------- 2 337 8.8 33.1 758 483 19.3 945 156 12.6 916 50.7 2.0 260 26.8

Maxwell village (pt.) --------------- – – – – – – – – – – – –– – Raton city ----------------------- 2 049 8.4 34.2 658 485 19.8 903 156 12.6 832 50.1 2.2 254 27.4

Springer division -------------------- 633 7.0 31.9 127 483 25.5 217 161 17.6 225 43.6 4.4 224 26.1

Maxwell village (pt.) --------------- 69 14.5 24.6 15 550 23.8 27 145 16.9 36 55.6 5.6 206 23.9

Springer town -------------------- 357 6.7 32.2 102 473 24.0 159 162 16.7 129 50.4 .8 214 27.9

Curry County ------------------------- 9 313 11.4 24.4 4 863 512 20.9 2 523 161 12.8 5 800 58.6 1.8 349 25.5

Broadview division ------------------- 118 – 47.5 15 561 28.5 30 175 11.1 34 – 11.8 525 35.0+ Grady village --------------------- 32 – 56.3 9 583 25.5 12 175 10.0 3 – –– – Clovis division ---------------------- 8 843 11.8 23.7 4 787 512 20.8 2 356 161 12.6 5 667 59.1 1.7 349 25.5

Cannon AFB CDP ------------------ – –– ––– ––– 748 44.3 – 374 22.3

Clovis city ----------------------- 7 500 11.6 24.2 4 447 504 20.6 2 170 161 12.5 4 176 62.9 1.9 331 26.9

Texico city----------------------- 231 12.1 24.2 72 392 26.8 72 138 16.7 97 46.4 – 282 32.9

Melrose division--------------------- 352 6.8 33.0 61 415 20.5 137 162 16.7 99 47.5 3.0 311 25.0

Melrose village ------------------- 224 8.9 30.8 48 420 20.6 122 155 16.3 63 52.4 4.8 283 25.8

DeBaca County ----------------------- 680 9.0 32.6 108 419 23.9 301 137 13.3 233 37.3 12.4 245 28.9

East De Baca division ---------------- 622 7.4 34.6 105 424 24.2 279 138 13.3 207 35.7 14.0 246 29.0

Fort Sumner village ---------------- 408 7.8 37.0 86 400 25.9 237 138 14.0 125 33.6 11.2 225 28.3

West De Baca division ---------------- 58 25.9 12.1 3 225 21.3 22 100– 12.9 26 50.0 – 125 27.5

Dona Ana County --------------------- 29 084 12.9 16.7 11 387 617 20.7 7 293 163 12.3 15 945 53.1 1.6 347 28.2

Anthony division -------------------- 3 701 17.2 13.4 759 373 22.9 808 143 11.5 1 085 45.0 1.1 288 24.5

Anthony CDP --------------------- 874 10.5 28.3 164 365 21.4 384 125 12.1 429 50.1 1.9 255 29.6

Chaparral CDP -------------------- 718 18.1 1.0 79 306 28.9 72 176 10.0 150 36.7 – 352 22.1

Dona Ana-Hill division ---------------- 4 339 14.5 5.8 1 484 721 20.6 536 166 12.3 743 56.5 – 343 35.0+

Dona Ana CDP-------------------- 225 3.1 18.7 40 283 22.1 45 100– 13.2 59 28.8 – 287 23.9

Las Cruces city (pt.) --------------- 999 20.7 4.5 481 743 21.4 127 165 11.1 139 62.6 – 448 28.3

Fairacres division -------------------- 1 025 14.0 9.2 340 752 21.0 207 184 11.4 181 43.1 .6 386 30.0

Mesilla town (pt.) ----------------- – – – – – – – – – – – –– – Hatch division ---------------------- 892 11.4 34.8 181 450 28.5 328 138 14.3 317 48.6 4.1 213 25.2

Hatch village --------------------- 292 9.2 32.9 73 404 26.8 128 142 14.7 114 53.5 – 257 35.0+

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 57
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 58

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 15. Homeowner and Renter Characteristics: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

All owner-occupied housing units

Percent with householder moved into unitm

Specified owner-occupied housing units

With a mortgage Not mortgaged

All renter-occupied housing units

Percent with householder moved into unitm

Specified renter paying cash rent

Total

1989 to

March

1990 1969 orearlier Total

Median selected monthly

owner costs

(dollars)

Median selected

monthly

owner costs as

a percentage of

household income in

1989 Total

Median selected monthly

owner costs

(dollars)

Median selected

monthly

owner costs as

a percentage of

household income in

1989 Total

1989 to

March

1990 1969 orearlier

Median

gross

rent (dollars)

Median

gross rent

as a percentage of

household income in

1989

Dona Ana CountymCon.

Las Cruces division------------------- 15 846 12.2 19.7 7 839 612 19.5 4 043 175 12.1 11 868 55.9 1.4 354 28.9

Las Cruces city (pt.) --------------- 12 383 11.3 21.4 6 767 599 19.7 3 338 176 12.0 10 276 55.2 1.3 365 28.9

Mesilla town (pt.) ----------------- 516 3.7 33.7 246 659 15.4 222 161 12.4 211 43.1 6.2 330 26.8

University Park CDP ---------------- – –– ––– ––– 636 73.0 – 319 30.6

South Dona Ana division -------------- 3 258 9.5 18.0 777 619 25.2 1 355 140 13.1 1 072 31.5 5.8 284 22.8

Sunland Park city------------------ 1 398 8.4 14.9 114 288 33.9 790 139 13.2 452 20.6 4.9 264 32.0

White Sands division ----------------- 23 – – 7 200– 10.0 16 260 10.0 679 53.0 – 421 18.2

White Sands CDP------------------ 23 – – 7 200– 10.0 16 260 10.0 679 53.0 – 421 18.2

Eddy County ------------------------- 12 745 9.0 28.0 4 937 474 17.3 4 917 136 11.7 4 727 52.3 2.1 304 23.4

Artesia division --------------------- 3 792 8.6 26.0 1 427 442 17.5 1 409 135 11.8 1 428 53.9 3.1 272 22.7

Artesia city ---------------------- 2 783 8.3 31.8 1 181 429 17.1 1 177 134 11.7 1 133 59.6 2.5 274 23.1

Hope village --------------------- 42 – 33.3 3 450 10.0 23 175 14.4 3 – –– – Carlsbad division -------------------- 8 403 9.1 29.0 3 394 494 17.4 3 293 137 11.7 3 132 52.4 1.5 316 24.1

Carlsbad city --------------------- 6 479 8.5 32.6 2 785 472 17.0 2 877 135 11.6 2 776 53.6 1.7 318 24.5

Carlsbad North CDP ---------------- 438 14.2 16.9 176 828 19.1 105 185 11.9 22 13.6 – 234 35.0+ Loco Hills division ------------------- 95 4.2 – 7 350 10.0 5 275 10.0 32 – –– – Loving division---------------------- 455 11.2 31.6 109 398 14.5 210 131 11.8 135 46.7 5.2 254 21.7

Loving village--------------------- 296 12.2 34.8 82 379 15.8 171 124 12.0 95 40.0 7.4 255 24.0

Grant County------------------------- 6 875 10.7 24.3 1 928 476 19.4 2 401 150 11.9 2 898 48.1 4.6 302 23.6

Bayard-Santa Rita division ------------- 900 3.8 43.6 190 417 20.3 486 150 12.8 315 41.0 2.2 208 24.6

Bayard city ---------------------- 651 4.3 43.2 170 420 20.4 359 151 12.1 214 57.0 – 199 24.5

Hurley town (pt.) ----------------- – – – – – – – – – – – –– –

Central division --------------------- 683 14.2 32.5 108 542 19.3 253 152 12.4 321 50.2 3.1 222 20.1

Central village -------------------- 425 10.6 43.5 74 500 19.5 205 147 11.7 168 57.7 6.0 275 24.9

Hurley division ---------------------- 560 5.0 40.2 162 366 20.8 266 150 11.2 132 42.4 3.8 326 18.0

Hurley town (pt.) ----------------- 470 2.6 42.8 145 361 20.2 245 150 11.3 82 56.1 1.2 328 18.4

Mimbres division -------------------- 395 13.7 17.0 19 473 22.5 147 125 12.5 21 42.9 – 275 10.0

Pinos Altos division ------------------ 316 8.5 13.6 34 526 13.1 97 140 12.2 64 75.0 – 875 10.0

Silver City division ------------------- 3 713 11.9 18.3 1 369 508 19.6 1 085 154 11.6 1 751 54.0 4.3 319 26.5

Silver City town------------------- 2 429 10.0 25.0 986 426 19.0 900 151 11.7 1 441 56.4 5.3 304 27.4

Tyrone division --------------------- 308 17.2 14.3 46 405 11.2 67 157 12.6 294 16.0 12.2 313 14.2

Guadalupe County --------------------- 1 078 2.8 40.8 173 465 28.9 545 147 15.5 442 33.9 2.9 229 33.3

Dilia division ----------------------- 179 – 61.5 ––– 138 117 17.7 11 54.5 45.5 225 22.5

Santa Rosa division ------------------ 676 3.1 34.5 148 470 27.4 270 147 15.3 354 35.3 1.7 237 33.5

Santa Rosa city ------------------- 514 3.7 34.8 124 437 26.8 226 142 14.6 287 34.1 1.4 230 35.0+

Vaughn division --------------------- 223 4.0 43.5 25 444 33.9 137 181 14.3 77 24.7 2.6 173 34.2

Vaughn town--------------------- 198 4.5 44.4 25 444 33.9 128 187 14.4 70 27.1 – 173 34.2

Harding County ----------------------- 308 3.6 38.3 17 354 13.1 135 147 14.2 88 44.3 – 229 17.7

North Harding division ---------------- 258 3.1 39.5 17 354 13.1 133 148 14.3 65 47.7 – 229 17.7

Mosquero village (pt.)-------------- 61 3.3 44.3 3 350 15.0 45 141 16.1 5 20.0 – 100– 10.0

Roy village ---------------------- 115 4.3 34.8 14 356 12.7 72 150 14.1 34 50.0 – 232 18.3

South Harding division ---------------- 50 6.0 32.0 ––– 2 125 10.0 23 34.8 –– –

Hidalgo County ----------------------- 1 227 7.9 20.0 311 418 20.2 327 154 13.3 777 36.4 3.9 191 15.6

North Hidalgo division ---------------- 1 129 8.6 21.0 288 424 20.4 305 153 13.2 496 42.7 6.0 222 25.3

Lordsburg city -------------------- 693 7.1 25.7 250 404 20.9 250 152 13.8 341 41.6 8.8 194 29.4

Virden village--------------------- 22 – 22.7 7 250 10.0 5 100– 10.0 17 – – 275 10.0

South Hidalgo division ---------------- 98 – 9.2 23 356 15.3 22 267 13.8 281 25.3 – 185 10.0

Lea County -------------------------- 13 809 11.4 23.7 6 405 482 17.6 3 989 151 12.1 5 497 56.9 2.8 312 24.5

Eunice division ---------------------- 803 8.3 21.5 305 431 15.7 325 129 12.1 260 71.2 3.5 265 21.3

Eunice city----------------------- 722 9.3 18.8 298 437 16.0 281 137 12.5 221 66.1 4.1 265 21.3

Hobbs division ---------------------- 8 855 11.9 23.7 4 414 522 17.5 2 297 153 12.0 4 045 57.9 1.9 328 25.0

Hobbs city----------------------- 6 764 11.5 26.9 3 708 493 17.2 1 960 154 12.0 3 478 58.5 1.5 324 25.1

Jal division ------------------------ 661 8.5 31.0 205 399 15.8 341 156 12.0 164 51.2 3.0 267 24.2

Jal city ------------------------- 615 8.8 31.4 197 411 16.1 330 158 12.0 148 53.4 3.4 269 24.7

Lovington division ------------------- 3 084 11.6 23.0 1 375 423 18.8 890 156 12.3 915 53.7 4.5 267 24.1

Lovington city -------------------- 2 294 12.9 23.8 1 201 399 18.3 716 149 12.7 781 52.1 4.5 267 24.0

Tatum division ---------------------- 406 8.9 21.7 106 395 14.7 136 139 12.5 113 21.2 19.5 302 13.0

Tatum town---------------------- 226 12.4 17.7 76 350 13.1 99 139 12.5 52 38.5 – 311 13.4

Lincoln County ------------------------ 3 466 10.3 17.1 1 067 644 25.8 1 041 179 14.7 1 323 54.9 1.1 348 26.8

Capitan division --------------------- 621 7.4 13.4 92 565 19.6 154 159 12.4 191 41.4 – 295 16.3

Capitan village-------------------- 280 7.9 13.2 61 532 13.9 70 185 12.7 90 57.8 – 324 21.7

Ruidoso village (pt.) --------------- – – – – – – – – – – – –– –

Carrizozo division ------------------- 399 11.5 36.3 81 502 20.8 175 150 15.4 108 44.4 10.2 286 25.4

Carrizozo town ------------------- 342 9.9 39.2 73 502 18.9 175 150 15.4 93 51.6 6.5 286 25.4

Corona division --------------------- 121 19.0 33.1 14 450 30.0 57 156 16.3 78 20.5 – 188 12.1

Corona village -------------------- 73 19.2 28.8 5 483 25.8 46 177 16.4 17 29.4 – 207 15.5

Hondo division---------------------- 255 2.4 39.2 15 617 16.7 117 136 21.1 83 24.1 – 256 35.0+ Ruidoso division--------------------- 2 070 11.4 10.8 865 684 27.6 538 197 14.2 863 65.2 .3 373 29.2

Ruidoso village (pt.) --------------- 1 313 13.0 10.0 673 734 28.7 321 217 14.5 582 70.6 – 386 27.9

Ruidoso Downs village -------------- 250 8.4 17.6 61 412 23.9 52 169 16.3 94 59.6 3.2 382 33.8

Los Alamos County -------------------- 5 367 7.9 24.6 3 348 914 17.3 1 086 192 10.5 1 846 49.6 1.4 467 18.1

Los Alamos division ------------------ 3 326 8.5 28.3 1 682 938 18.3 874 189 10.5 1 681 49.0 1.5 456 17.9

Los Alamos CDP ------------------ 3 186 8.1 29.5 1 682 938 18.3 874 189 10.5 1 653 48.5 1.6 454 18.0

White Rock division ------------------ 2 041 7.0 18.5 1 666 893 16.4 212 210 10.4 165 55.8 – 630 20.4

White Rock CDP------------------- 2 032 7.0 18.6 1 666 893 16.4 212 210 10.4 148 55.4 – 657 20.2

Luna County ------------------------- 4 836 9.8 17.2 1 223 431 23.6 1 536 132 12.1 1 961 46.8 1.2 252 27.8

Deming North division ---------------- 3 617 9.8 20.4 1 091 427 23.9 1 173 132 11.9 1 676 47.6 1.4 253 27.5

Deming city (pt.)------------------ 2 615 8.6 25.4 934 413 24.2 950 131 12.1 1 446 48.0 1.1 251 26.2

Deming South division ---------------- 1 219 9.7 8.0 132 458 22.1 363 131 12.6 285 41.8 – 249 35.0+ Columbus village ------------------ 178 11.2 11.2 14 414 14.0 67 133 15.1 54 64.8 – 238 35.0+ Deming city (pt.)------------------ – – – – – – – – – – – –– –

58 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 59

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 15. Homeowner and Renter Characteristics: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

All owner-occupied housing units

Percent with householder moved into unitm

Specified owner-occupied housing units

With a mortgage Not mortgaged

All renter-occupied housing units

Percent with householder moved into unitm

Specified renter paying cash rent

Total

1989 to

March

1990 1969 orearlier Total

Median selected monthly

owner costs

(dollars)

Median selected

monthly

owner costs as

a percentage of

household income in

1989 Total

Median selected monthly

owner costs

(dollars)

Median selected

monthly

owner costs as

a percentage of

household income in

1989 Total

1989 to

March

1990 1969 orearlier

Median

gross

rent (dollars)

Median

gross rent

as a percentage of

household income in

1989

McKinley County ---------------------- 11 700 9.9 23.1 2 091 631 19.6 5 200 100– 12.8 4 888 40.1 4.9 294 19.6

Crownpoint division ------------------ 838 7.2 28.8 61 200– 11.5 336 100– 11.6 501 22.4 7.6 226 13.6

Crownpoint CDP------------------- 159 10.7 11.3 16 200– 16.0 76 172 15.8 353 26.9 2.0 214 13.7

Gallup division ---------------------- 4 139 11.1 24.0 1 722 669 20.4 1 190 195 12.5 2 601 48.6 2.5 355 24.2

Gallup city (pt.)------------------- 3 729 11.0 25.0 1 643 672 19.7 1 019 205 12.3 2 449 48.5 2.3 353 24.1

Red Rock division-------------------- 4 074 9.2 20.5 129 533 21.6 2 089 100– 13.4 642 31.0 16.4 301 17.5

Gallup city (pt.)------------------- 26 53.8 – – – – – – – – – –– –

Reservation division ------------------ 1 493 13.1 19.8 67 200– 13.7 794 100– 13.1 665 37.1 4.5 203 12.6

Mexican Springs CDP--------------- 8 –– ––– 8 100– 10.0 34 – – 175 13.1

Navajo CDP ---------------------- 47 – 48.9 ––– ––– 344 46.5 – 197 13.0

Tohatchi CDP --------------------- 35 20.0 – ––– ––– 179 43.6 10.1 243 11.1

Zuni division ----------------------- 1 156 6.1 28.8 112 200– 16.9 791 134 12.2 479 28.6 .8 200 15.3

Black Rock CDP ------------------- 9 –– ––– 9 125 10.0 191 33.0 2.1 268 17.9

Zuni Pueblo CDP ------------------ 1 077 6.5 30.5 82 200– 17.4 752 133 12.0 187 28.9 – 189 13.8

Mora County ------------------------- 1 234 5.8 44.2 87 516 13.8 551 122 14.7 285 26.7 7.7 235 29.5

Mora division ---------------------- 929 5.4 46.2 46 575 12.1 398 118 15.2 186 23.1 7.0 266 35.0+

Wagon Mound division --------------- 305 7.2 38.0 41 332 16.4 153 133 13.5 99 33.3 9.1 108 16.4

Wagon Mound village -------------- 120 5.0 35.0 24 322 16.0 72 160 16.0 21 28.6 9.5 100– 13.6

Otero County------------------------- 11 322 12.9 19.7 5 085 580 21.3 2 567 145 11.7 6 833 56.1 .9 355 24.7

Alamogordo division ----------------- 8 418 13.3 21.0 4 423 592 21.2 1 777 144 11.3 5 627 60.5 .6 365 24.7

Alamogordo city ------------------ 6 681 12.4 23.8 3 934 591 21.2 1 492 146 11.5 3 801 65.4 .7 364 25.3

Boles Acres CDP ------------------ 436 17.4 9.9 91 792 14.7 88 137 10.0 92 48.9 – 346 35.0+

Holloman AFB CDP----------------- 22 100.0 – 6 350 10.0 16 100– 10.0 1 353 45.2 – 387 21.4

La Luz CDP (pt.) ------------------ 446 17.3 12.1 206 500 22.5 83 134 10.0 139 59.0 4.3 385 24.1

Mescalero division ------------------- 190 12.6 30.0 33 311 19.4 94 131 12.9 468 14.5 3.0 264 15.8

Mescalero CDP ------------------- 95 8.4 45.3 12 340 12.0 64 119 12.0 205 15.6 5.9 283 15.7

Southeast Otero division -------------- 1 355 13.9 12.5 305 541 22.2 336 148 11.7 346 46.5 3.5 334 21.7

Cloudcroft village------------------ 152 22.4 7.9 83 579 21.6 34 196 10.0 77 74.0 – 350 25.0

La Luz CDP (pt.) ------------------ – – – – – – – – – – – –– – Tularosa division -------------------- 1 359 9.6 17.8 324 452 22.5 360 152 13.6 392 50.5 – 275 29.3

Tularosa village ------------------- 700 3.0 25.3 245 410 22.2 285 151 13.4 276 43.8 – 260 31.3

Quay County ------------------------- 3 058 9.5 21.1 801 452 20.2 1 002 153 13.4 1 180 53.3 4.2 279 27.1

House-Forrest division ---------------- 130 23.8 33.8 10 638 10.0 27 116 15.9 32 28.1 15.6 308 15.0

House village --------------------- 33 9.1 15.2 2 250 10.0 23 113 17.7 7 – 71.4 342 20.8

Logan-Nara Visa division -------------- 373 9.7 13.4 70 376 22.5 108 162 16.1 80 53.8 10.0 296 35.0+

Logan village --------------------- 296 8.1 8.8 62 386 20.5 96 160 15.2 57 56.1 14.0 290 35.0+

San Jon division -------------------- 168 7.1 36.9 17 213 29.2 38 126 12.4 67 32.8 11.9 314 26.8

San Jon village ------------------- 74 12.2 24.3 15 200– 27.5 26 125 12.4 29 51.7 10.3 321 25.9

Tucumcari division ------------------- 2 387 8.9 20.5 704 466 20.1 829 155 13.1 1 001 55.4 2.9 273 26.8

Tucumcari city -------------------- 1 828 8.2 21.1 611 451 20.7 784 156 13.1 867 56.5 3.3 260 26.2

Rio Arriba County --------------------- 9 172 7.5 29.8 1 242 521 21.0 3 881 148 13.8 2 289 43.2 3.5 285 27.0

Chimayo division -------------------- 1 066 2.5 38.3 98 516 19.6 586 169 14.4 162 50.6 3.7 361 30.6

Chimayo CDP (pt.)----------------- 621 3.4 36.4 72 489 18.9 308 155 12.0 103 60.2 5.8 354 20.7

Coyote division --------------------- 405 – 26.9 28 367 21.8 143 135 16.3 73 17.8 32.9 263 15.0

Dixon division ---------------------- 440 12.5 35.7 10 750 32.5 264 136 17.6 42 28.6 – 338 10.0

Jicarilla division --------------------- 384 8.1 18.5 119 284 13.8 152 134 11.7 304 32.6 3.6 249 15.8

Dulce CDP (pt.) ------------------- 358 8.1 19.3 111 274 14.2 144 135 11.8 299 33.1 2.7 250 15.9

Rio Chama division ------------------ 687 5.7 30.4 75 395 31.3 266 143 12.4 127 55.1 – 275 26.7

San Juan Pueblo division -------------- 1 449 11.0 30.6 188 404 20.3 705 142 14.0 210 47.6 3.3 324 34.1

Alcalde CDP---------------------- 88 12.5 29.5 2 450 32.5 40 168 25.0 16 25.0 – 350 25.0

Espanola city (pt.)----------------- 224 18.8 31.7 21 675 17.5 84 155 12.4 37 32.4 – 395 35.0+ San Juan CDP -------------------- 107 13.1 36.4 12 467 17.1 77 119 16.4 11 72.7 – 275 35.0+ Santa Clara division ------------------ 2 081 8.5 26.4 427 596 17.7 794 150 12.3 666 41.3 2.7 285 29.1

Espanola city (pt.)----------------- 996 9.9 29.6 173 503 17.3 357 174 13.4 480 45.0 3.8 265 29.3

Santa Clara Pueblo CDP ------------- 317 5.4 26.2 58 242 14.9 209 118 11.6 55 20.0 – 247 24.1

South Rio Arriba division -------------- 1 667 9.1 24.5 189 586 25.6 552 147 14.2 333 58.6 – 338 31.4

Espanola city (pt.)----------------- 328 13.7 29.0 78 633 21.4 119 159 12.4 152 70.4 – 347 35.0+ Tierra Amarilla division---------------- 787 5.1 37.9 92 600 26.7 335 169 15.3 279 48.4 2.9 248 24.8

Chama village -------------------- 246 8.9 34.6 46 557 27.0 110 183 14.5 132 51.5 3.8 253 27.5

Dulce CDP (pt.) ------------------- – – – – – – – – – – – –– – Vallecitas division ------------------- 150 7.3 51.3 16 620 35.0+ 84 100– 12.5 37 21.6 18.9 216 35.0+ Western Rio Arriba division ------------ 56 –– ––– ––– 56 – – 100– 10.0

Roosevelt County---------------------- 3 856 8.7 25.1 1 261 434 20.0 1 264 140 12.5 2 135 53.9 2.0 268 28.0

Dora division ----------------------- 174 6.3 45.4 23 393 20.3 32 146 12.3 55 14.5 10.9 255 16.3

Causey village -------------------- 17 – 64.7 2 250 10.0 6 225 15.0 7 – – 275 10.0

Dora village (pt.)------------------ 36 – 25.0 8 333 23.3 15 163 12.5 15 40.0 – 175 16.7

Elida division ----------------------- 307 7.8 27.7 27 350 15.0 62 177 13.8 141 38.3 2.1 225 35.0+

Elida town ----------------------- 59 15.3 25.4 14 283 13.8 40 181 16.0 17 58.8 – 219 35.0+ Floyd village --------------------- 32 18.8 28.1 4 400 20.0 8 150 10.0 15 60.0 13.3 – –

Portales division--------------------- 3 375 8.9 23.9 1 211 438 20.1 1 170 139 12.4 1 939 56.1 1.7 270 28.0

Dora village (pt.)------------------ – – – – – – – – – – – –– –

Portales city --------------------- 2 184 8.2 25.9 970 437 19.1 954 133 12.9 1 634 57.5 1.5 268 28.5

Sandoval County ---------------------- 17 268 13.5 10.6 9 792 685 23.5 4 509 161 12.0 3 599 47.6 3.4 468 26.1

Bernalillo division -------------------- 13 918 15.1 6.0 9 394 689 23.5 2 576 171 11.8 3 011 49.2 2.0 490 26.0

Bernalillo town ------------------- 1 490 7.9 19.5 443 519 24.4 393 167 13.0 476 44.5 3.4 262 28.2

Corrales village (pt.) --------------- 1 491 12.2 13.2 775 964 20.4 329 193 11.7 328 41.2 4.9 474 21.3

Placitas CDP --------------------- 553 18.6 8.9 332 1 127 21.9 154 178 11.4 77 29.9 – 333 18.4

Rio Rancho city ------------------- 9 658 17.2 1.1 7 659 678 23.8 1 374 174 11.7 2 000 54.1 .9 541 26.4

San Felipe Pueblo CDP (pt.) ---------- – – – – – – – – – – – –– –

Santa Ana Pueblo CDP (pt.)---------- 115 7.8 31.3 27 219 11.3 71 121 10.9 5 – 40.0 – –

Cuba division ----------------------- 1 109 8.1 25.1 55 607 21.6 494 100– 12.7 300 45.7 10.3 260 34.2

Cuba village---------------------- 139 6.5 31.7 12 300 13.3 52 166 15.9 133 43.6 1.5 233 29.3

Jemez division ---------------------- 1 023 5.9 27.6 190 700 21.7 595 159 13.3 158 35.4 6.3 302 24.4

Jemez Pueblo CDP ----------------- 284 1.8 52.1 20 633 16.7 249 174 15.8 26 15.4 – 261 35.0+ Jemez Springs village -------------- 122 2.5 11.5 33 542 22.5 44 166 14.7 27 29.6 25.9 300 23.3

San Ysidro village ----------------- 55 21.8 18.2 7 325 14.0 15 158 18.6 14 28.6 – 342 34.2

Zia Pueblo CDP ------------------- 134 9.0 25.4 13 200– 11.8 115 106 10.6 11 9.1 27.3 225 35.0+

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 59
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 60

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Table 15. Homeowner and Renter Characteristics: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

All owner-occupied housing units

Percent with householder moved into unitm

Specified owner-occupied housing units

With a mortgage Not mortgaged

All renter-occupied housing units

Percent with householder moved into unitm

Specified renter paying cash rent

Total

1989 to

March

1990 1969 orearlier Total

Median selected monthly

owner costs

(dollars)

Median selected

monthly

owner costs as

a percentage of

household income in

1989 Total

Median selected monthly

owner costs

(dollars)

Median selected

monthly

owner costs as

a percentage of

household income in

1989 Total

1989 to

March

1990 1969 orearlier

Median

gross

rent (dollars)

Median

gross rent

as a percentage of

household income in

1989

Sandoval CountymCon.

Santo Domingo division --------------- 1 218 5.4 35.8 153 439 22.4 844 149 11.8 130 29.2 16.9 422 16.8

Cochiti CDP ---------------------- 159 3.8 27.0 20 313 31.7 132 123 12.8 9 22.2 33.3 225 10.0

Pena Blanca CDP ------------------ 76 – 60.5 10 629 35.0+ 40 156 11.4 16 43.8 25.0 225 16.7

San Felipe Pueblo CDP (pt.) ---------- 263 2.7 20.9 14 270 17.5 192 143 13.7 12 8.3 25.0 188 15.0

Santa Ana Pueblo CDP (pt.)---------- – – – – – – – – – – – –– –

Santo Domingo Pueblo CDP ---------- 362 – 60.5 22 392 22.5 315 177 10.5 – – –– –

San Juan County ---------------------- 20 639 10.8 18.8 7 175 629 19.7 5 327 123 12.5 8 101 48.4 1.9 345 24.3

Aztec division ---------------------- 3 472 11.5 13.2 1 044 583 19.1 624 148 12.3 1 107 61.5 2.2 334 30.0

Aztec city ----------------------- 1 234 11.2 14.7 512 518 19.2 314 143 11.6 690 62.3 1.2 322 33.1

Farmington city (pt.) --------------- 33 –– ––– ––– 11 100.0 – 225 35.0+ Flora Vista CDP ------------------- 309 18.4 20.1 90 658 18.4 54 175 11.7 34 76.5 – 457 22.5

Bloomfield division------------------- 2 753 10.9 11.1 724 553 19.7 426 141 12.6 681 57.7 1.0 353 25.9

Bloomfield city (pt.) --------------- 1 234 10.5 7.6 440 533 20.2 157 150 12.6 445 62.7 1.6 364 26.1

Burnham division -------------------- 665 8.7 28.7 36 322 10.0 302 100– 11.4 264 23.5 5.3 176 21.9

Ojo Amarillo CDP------------------ 11 – – 8 200– 10.0 3 125 10.0 185 20.0 – 181 23.5 Farmington division ------------------ 9 751 11.1 17.2 5 102 673 20.3 1 755 184 12.2 4 610 53.0 1.0 376 24.1

Farmington city (pt.) --------------- 7 760 10.9 19.0 4 464 668 20.1 1 490 184 12.2 4 175 53.4 1.1 379 24.1

Kirtland CDP --------------------- 865 12.9 7.3 380 651 21.1 122 174 12.8 159 42.8 – 386 23.0

Naschitti division -------------------- 479 6.5 30.9 62 200– 10.0 294 100– 12.9 95 – 7.4 230 18.6

Naschitti CDP--------------------- 53 – 11.3 31 200– 10.0 22 100– 17.8 31 – – 225 10.0

Shiprock-Sanostee division ------------- 2 671 9.7 37.1 157 370 15.3 1 576 100– 13.1 1 031 25.5 4.3 194 19.0

Newcomb CDP -------------------- 69 10.1 34.8 21 336 17.5 15 100– 10.0 32 18.8 – 165 12.3

Sanostee CDP -------------------- 131 4.6 9.2 ––– 118 100– 11.7 31 – – 146 13.9

Shiprock CDP--------------------- 1 023 5.1 39.4 111 398 15.9 584 100– 13.1 800 28.3 2.5 188 18.7

Simpson-Chaco division --------------- 848 11.7 12.1 50 619 12.5 350 100– 12.3 313 24.9 1.9 206 14.7

Bloomfield city (pt.) --------------- – – – – – – – – – – – –– – Farmington city (pt.) --------------- – – – – – – – – – – – –– –

San Miguel County -------------------- 6 265 10.0 30.8 1 529 482 24.8 2 374 166 14.3 2 436 40.9 5.3 270 26.5

Conchas Dam division ---------------- 101 – 11.9 6 450 32.5 54 143 10.0 23 30.4 21.7 275 10.0

Mosquero village (pt.)-------------- – – – – – – – – – – – –– –

Las Vegas division ------------------- 4 674 9.4 32.2 1 350 489 25.4 1 735 175 14.7 2 074 39.5 3.7 270 26.3

Las Vegas city-------------------- 3 409 8.4 36.7 1 149 471 24.6 1 422 182 15.3 1 722 38.0 4.0 261 26.6

Pecos division ---------------------- 935 14.5 22.7 137 481 18.8 337 169 13.6 226 55.8 14.2 365 27.6

Pecos village --------------------- 287 5.2 42.5 30 475 18.8 148 168 13.1 85 60.0 8.2 413 35.0+ Trementina division ------------------ 91 4.4 45.1 ––– 11 125 22.5 18 – 66.7 – –

Villanueva division ------------------- 464 9.5 34.3 36 308 12.4 237 118 13.5 95 47.4 4.2 159 30.0

Santa Fe County ---------------------- 25 621 12.5 19.7 10 925 812 22.6 6 807 188 12.0 12 219 44.3 1.4 489 27.7

Santa Fe division -------------------- 15 344 11.2 24.0 7 791 793 22.5 4 532 197 12.0 9 783 44.5 1.5 498 27.6

Agua Fria CDP -------------------- 1 033 9.6 8.3 193 707 29.9 120 177 10.7 206 49.0 – 427 25.7

Santa Fe city (pt.)----------------- 13 589 11.2 25.9 7 223 793 22.3 4 239 198 12.1 9 224 44.4 1.6 496 27.7

Tesuque CDP (pt.) ----------------- – – – – – – – – – – – –– – Santa Fe North division --------------- 4 202 11.2 25.4 975 711 20.8 1 517 163 12.2 1 278 37.9 1.7 369 24.5

Chimayo CDP (pt.)----------------- 194 – 56.2 18 557 16.4 150 133 14.3 39 7.7 – 179 35.0+ Cuyamungue CDP------------------ 82 17.1 35.4 29 650 21.3 31 229 12.4 29 44.8 – 363 10.8

Espanola city (pt.)----------------- 497 12.3 28.2 183 596 24.5 160 175 14.2 297 35.7 1.7 275 25.6

Jaconita CDP --------------------- 109 13.8 32.1 10 840 27.5 37 168 10.0 21 38.1 – 415 12.4

Nambe CDP ---------------------- 412 5.8 30.8 118 636 20.0 179 161 13.4 63 27.0 – 436 20.4

Pojoaque CDP -------------------- 278 20.1 19.4 38 690 17.3 58 187 12.1 87 42.5 – 250 17.9

San Ildefonso Pueblo CDP ----------- 126 6.3 27.8 53 207 10.9 68 109 11.9 17 23.5 – 388 14.0

Santa Cruz CDP------------------- 644 7.3 23.0 91 698 15.7 209 169 12.7 168 51.2 – 369 31.2

Santa Fe city (pt.)----------------- 7 –– ––– 7 175 10.0 17 41.2 – 1 000+ 10.0

Tesuque CDP (pt.) ----------------- 486 13.4 23.0 108 900 23.8 153 202 10.5 187 14.4 6.4 490 26.5

Santa Fe South division --------------- 6 075 16.6 4.6 2 159 893 23.5 758 181 11.6 1 158 49.6 .4 483 34.1

Edgewood CDP (pt.) --------------- 903 9.9 3.2 289 828 24.2 51 152 10.0 101 41.6 – 474 33.6

Eldorado at Santa Fe CDP ----------- 838 19.2 – 590 914 23.0 112 198 10.8 52 82.7 – 827 35.0+

La Cienega CDP ------------------- 277 14.8 9.7 91 813 21.6 24 146 10.0 88 38.6 – 508 10.0

Santa Fe city (pt.)----------------- 33 18.2 – 6 650 10.0 17 125 – 19 – – 425 32.5

Sierra County ------------------------ 3 247 12.8 16.2 453 416 23.3 1 166 136 12.3 1 181 50.7 3.8 226 26.9

Truth or Consequences East division ------ 2 576 13.2 14.6 418 418 23.5 992 137 12.1 1 077 52.5 2.8 222 26.6

Truth or Consequences city ---------- 1 939 13.3 15.9 348 392 22.4 753 129 12.2 894 48.7 2.8 211 26.9

Williamsburg village ---------------- 177 2.8 12.4 9 325 15.0 72 130 14.1 47 59.6 6.4 317 20.9

Truth or Consequences West division ----- 671 11.5 22.2 35 392 18.4 174 132 14.1 104 32.7 14.4 280 30.3

Socorro County ----------------------- 3 586 8.6 24.5 981 541 21.1 1 110 151 13.1 1 631 52.9 4.1 305 28.4

Claunch division --------------------- 24 20.8 62.5 ––– ––– 11 27.3 –– – Magdalena division ------------------ 649 9.1 27.7 66 469 19.1 344 101 12.9 186 34.9 8.6 285 15.9

Magdalena village ----------------- 256 2.3 36.3 37 383 17.9 135 119 13.7 65 43.1 9.2 267 14.6

Socorro city (pt.)------------------ – – – – – – – – – – – –– – Rio Grande division ------------------ 2 913 8.3 23.4 915 546 21.3 766 167 13.2 1 434 55.4 3.6 306 29.4

Socorro city (pt.)------------------ 1 826 6.3 22.3 711 547 21.3 513 178 13.7 1 189 52.1 3.4 305 29.9

Taos County ------------------------- 6 552 10.0 30.0 1 474 482 23.5 2 830 151 14.1 2 200 45.2 2.9 369 32.5

Arroyo Hondo division ---------------- 838 10.6 29.5 179 513 25.5 387 150 13.1 226 41.2 3.1 369 26.1

Questa village (pt.) ---------------- – – – – – – – – – – – –– –

Penasco division--------------------- 362 14.9 32.3 56 417 30.0 155 114 12.2 65 16.9 –– –

Picuris division ---------------------- 542 9.2 34.3 85 309 32.5 296 159 16.4 105 33.3 6.7 340 35.0+

Chamisal CDP -------------------- 88 10.2 53.4 9 350 22.5 62 122 16.3 12 – 41.7 144 25.6

Penasco CDP --------------------- 157 8.9 24.8 8 1 000 23.3 84 167 17.7 74 41.9 – 371 35.0+

Vadito CDP ---------------------- 79 7.6 34.2 8 950 35.0+ 48 190 16.0 7 28.6 28.6 313 35.0+ Questa division --------------------- 936 7.4 36.0 104 508 25.9 385 165 14.8 282 47.2 .7 328 29.0

Questa village (pt.) ---------------- 460 7.4 37.0 75 539 26.7 213 163 13.7 120 38.3 – 324 33.3

Red River town ------------------- 80 21.3 27.5 5 450 22.5 23 342 11.5 83 51.8 – 457 26.4

Taos division ----------------------- 3 093 10.6 27.1 910 525 23.1 1 200 161 13.9 1 345 49.1 2.0 382 35.0+

Ranchos De Taos CDP -------------- 477 4.0 26.0 147 584 22.7 202 161 11.3 132 34.1 – 380 35.0+ Taos town (pt.)------------------- 939 11.8 30.5 323 492 20.1 382 173 16.5 760 44.9 3.3 378 32.6

Taos Pueblo division------------------ 632 9.7 31.5 140 255 15.7 348 135 14.7 147 34.7 14.3 335 26.3

Taos town (pt.)------------------- 14 28.6 21.4 ––– 6 150 32.5 12 41.7 25.0 175 35.0+ Taos Pueblo CDP ------------------ 348 8.3 30.5 92 210 14.8 203 117 15.4 52 21.2 28.8 170 18.6

Tres Piedras division ----------------- 149 – 26.2 ––– 59 138 15.1 30 33.3 –– –

60 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 61

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Table 15. Homeowner and Renter Characteristics: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

All owner-occupied housing units

Percent with householder moved into unitm

Specified owner-occupied housing units

With a mortgage Not mortgaged

All renter-occupied housing units

Percent with householder moved into unitm

Specified renter paying cash rent

Total

1989 to

March

1990 1969 orearlier Total

Median selected monthly

owner costs

(dollars)

Median selected

monthly

owner costs as

a percentage of

household income in

1989 Total

Median selected monthly

owner costs

(dollars)

Median selected

monthly

owner costs as

a percentage of

household income in

1989 Total

1989 to

March

1990 1969 orearlier

Median

gross

rent (dollars)

Median

gross rent

as a percentage of

household income in

1989

Torrance County ---------------------- 3 010 14.1 17.8 536 496 24.5 645 153 14.5 660 48.9 6.5 318 27.0

Encino division ---------------------- 136 14.0 64.7 2 350 10.0 59 172 11.1 97 41.2 29.9 300 14.3

Encino village--------------------- 43 – 51.2 2 350 10.0 20 190 14.3 13 23.1 53.8 400 32.5

Estancia division -------------------- 2 380 15.6 10.8 468 516 23.5 342 162 14.5 411 53.3 2.2 333 27.6

Edgewood CDP (pt.) --------------- 138 26.1 – 23 588 21.9 14 138 10.0 16 68.8 – 296 30.8

Estancia town -------------------- 245 7.3 24.1 68 463 19.4 101 147 15.1 59 55.9 – 290 35.0+

Moriarty city --------------------- 400 19.5 21.8 154 453 25.4 95 185 15.3 113 47.8 2.7 350 35.0+

Mountainair division------------------ 494 6.7 39.1 66 390 30.5 244 140 15.6 152 42.1 3.3 295 30.0

Mountainair town ----------------- 261 5.0 38.3 49 369 33.2 153 143 16.1 98 38.8 3.1 289 31.3

Willard village -------------------- 65 4.6 36.9 9 430 26.9 38 155 15.2 4 100.0 – 175 35.0+

Union County------------------------- 1 169 6.9 31.4 302 491 22.5 414 141 13.6 446 37.2 2.9 284 27.9

Clayton North division ---------------- 253 8.7 36.4 27 496 25.3 56 146 16.5 86 48.8 – 465 10.0

Clayton town (pt.)----------------- – – – – – – – – – – – –– – Des Moines village----------------- 46 – 17.4 4 450 27.5 19 157 23.5 7 100.0 – 475 10.0

Folsom village -------------------- 41 22.0 7.3 10 450 30.0 6 150 20.0 15 73.3 – 175 10.0

Grenville village ------------------- 5 –– ––– ––– 5 – –– – Clayton South division ---------------- 916 6.4 30.0 275 490 21.9 358 140 13.3 360 34.4 3.6 277 29.1

Clayton town (pt.)----------------- 694 5.3 32.1 271 487 21.9 336 139 13.3 263 38.8 4.9 267 29.7

Valencia County----------------------- 12 650 13.7 14.7 4 854 595 22.8 2 803 168 13.0 2 520 51.8 2.9 344 27.9

Belen division ---------------------- 4 309 9.5 20.0 1 775 523 23.4 1 398 166 13.2 1 063 50.0 3.7 323 29.1

Belen city ----------------------- 1 671 6.7 29.4 691 482 22.2 646 171 13.7 639 41.9 4.7 310 28.7

Los Chaves CDP (pt.)--------------- 23 – – 14 550 35.0+ – – – – – –– –

Los Trujillos-Gabaldon CDP (pt.) ------- 527 10.1 32.6 144 611 24.6 187 151 12.0 94 52.1 9.6 296 35.0+

Rio Communities CDP--------------- 1 157 9.2 1.0 707 544 23.4 313 169 12.8 199 59.8 – 435 27.0

Los Lunas division ------------------- 8 341 15.8 12.0 3 079 640 22.4 1 405 170 12.8 1 457 53.1 2.3 360 27.0

Bosque Farms village --------------- 1 189 14.3 8.2 586 749 22.1 155 202 12.2 121 63.6 – 423 21.2

Isleta Pueblo CDP (pt.) ------------- 115 7.0 38.3 7 350 10.0 66 112 12.9 6 33.3 – 325 27.5

Los Chaves CDP (pt.)--------------- 1 097 12.7 10.5 351 646 22.5 232 164 13.0 197 52.3 5.1 370 24.3

Los Lunas village ------------------ 1 518 19.6 12.4 858 565 24.0 256 177 13.0 541 44.2 1.1 329 31.5

Los Trujillos-Gabaldon CDP (pt.) ------- – – – – – – – – – – – –– –

Meadow Lake CDP----------------- 476 18.5 – 42 706 26.7 19 213 19.0 58 69.0 – 406 16.5

Peralta CDP ---------------------- 959 13.3 14.6 308 710 24.1 152 178 11.1 119 62.2 – 344 20.8

Tome-Adelino CDP ----------------- 536 12.5 24.1 94 664 22.9 134 158 19.7 57 26.3 – 327 35.0+

Valencia CDP --------------------- 1 123 13.6 12.0 512 655 18.6 181 175 12.1 166 57.2 10.2 365 35.0+

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 61
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 62

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 16. Homeowner and Renter Characteristics: 1990

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

All owner-occupied housing units

Percent with householder moved into unitm

Specified owner-occupied housing units

With a mortgage Not mortgaged

All renter-occupied housing units

Percent with householder moved into unitm

Specified renter paying cash rent

Total

1989 to

March

1990 1969 orearlier Total

Median selected monthly

owner costs

(dollars)

Median selected

monthly

owner costs as

a percentage of

household income in

1989 Total

Median selected monthly

owner costs

(dollars)

Median selected

monthly

owner costs as

a percentage of

household income in

1989 Total

1989 to

March

1990 1969 orearlier

Median

gross

rent (dollars)

Median

gross rent

as a percentage of

household income in

1989

The State ------------------- 365 913 10.6 21.3 163 863 651 21.6 102 107 163 12.5 176 796 51.2 1.8 372 26.5

COUNTY Bernalillo County ---------------------- 112 723 9.7 21.4 69 985 739 22.3 25 476 192 12.3 72 859 52.7 1.1 402 27.4

Catron County ------------------------ 771 7.1 28.7 37 422 35.0+ 197 148 12.8 239 47.7 5.4 249 19.7

Chaves County------------------------ 14 402 9.8 21.3 6 976 459 19.4 4 484 145 12.7 6 187 55.4 1.8 335 27.9

Cibola County ------------------------ 5 380 8.3 26.5 1 463 381 18.3 2 070 137 13.0 1 912 47.5 3.0 245 21.3

Colfax County ------------------------ 3 500 8.8 30.3 1 047 499 20.7 1 336 160 13.4 1 459 47.3 2.8 266 26.5

Curry County ------------------------- 9 313 11.4 24.4 4 863 512 20.9 2 523 161 12.8 5 800 58.6 1.8 349 25.5

DeBaca County ----------------------- 680 9.0 32.6 108 419 23.9 301 137 13.3 233 37.3 12.4 245 28.9

Dona Ana County --------------------- 29 084 12.9 16.7 11 387 617 20.7 7 293 163 12.3 15 945 53.1 1.6 347 28.2

Eddy County ------------------------- 12 745 9.0 28.0 4 937 474 17.3 4 917 136 11.7 4 727 52.3 2.1 304 23.4

Grant County------------------------- 6 875 10.7 24.3 1 928 476 19.4 2 401 150 11.9 2 898 48.1 4.6 302 23.6

Guadalupe County --------------------- 1 078 2.8 40.8 173 465 28.9 545 147 15.5 442 33.9 2.9 229 33.3

Harding County ----------------------- 308 3.6 38.3 17 354 13.1 135 147 14.2 88 44.3 – 229 17.7

Hidalgo County ----------------------- 1 227 7.9 20.0 311 418 20.2 327 154 13.3 777 36.4 3.9 191 15.6

Lea County -------------------------- 13 809 11.4 23.7 6 405 482 17.6 3 989 151 12.1 5 497 56.9 2.8 312 24.5 Lincoln County ------------------------ 3 466 10.3 17.1 1 067 644 25.8 1 041 179 14.7 1 323 54.9 1.1 348 26.8

Los Alamos County -------------------- 5 367 7.9 24.6 3 348 914 17.3 1 086 192 10.5 1 846 49.6 1.4 467 18.1

Luna County ------------------------- 4 836 9.8 17.2 1 223 431 23.6 1 536 132 12.1 1 961 46.8 1.2 252 27.8

McKinley County ---------------------- 11 700 9.9 23.1 2 091 631 19.6 5 200 100– 12.8 4 888 40.1 4.9 294 19.6

Mora County ------------------------- 1 234 5.8 44.2 87 516 13.8 551 122 14.7 285 26.7 7.7 235 29.5

Otero County------------------------- 11 322 12.9 19.7 5 085 580 21.3 2 567 145 11.7 6 833 56.1 .9 355 24.7

Quay County ------------------------- 3 058 9.5 21.1 801 452 20.2 1 002 153 13.4 1 180 53.3 4.2 279 27.1

Rio Arriba County --------------------- 9 172 7.5 29.8 1 242 521 21.0 3 881 148 13.8 2 289 43.2 3.5 285 27.0

Roosevelt County---------------------- 3 856 8.7 25.1 1 261 434 20.0 1 264 140 12.5 2 135 53.9 2.0 268 28.0

Sandoval County ---------------------- 17 268 13.5 10.6 9 792 685 23.5 4 509 161 12.0 3 599 47.6 3.4 468 26.1

San Juan County ---------------------- 20 639 10.8 18.8 7 175 629 19.7 5 327 123 12.5 8 101 48.4 1.9 345 24.3

San Miguel County -------------------- 6 265 10.0 30.8 1 529 482 24.8 2 374 166 14.3 2 436 40.9 5.3 270 26.5

Santa Fe County ---------------------- 25 621 12.5 19.7 10 925 812 22.6 6 807 188 12.0 12 219 44.3 1.4 489 27.7

Sierra County ------------------------ 3 247 12.8 16.2 453 416 23.3 1 166 136 12.3 1 181 50.7 3.8 226 26.9

Socorro County ----------------------- 3 586 8.6 24.5 981 541 21.1 1 110 151 13.1 1 631 52.9 4.1 305 28.4

Taos County ------------------------- 6 552 10.0 30.0 1 474 482 23.5 2 830 151 14.1 2 200 45.2 2.9 369 32.5

Torrance County ---------------------- 3 010 14.1 17.8 536 496 24.5 645 153 14.5 660 48.9 6.5 318 27.0

Union County------------------------- 1 169 6.9 31.4 302 491 22.5 414 141 13.6 446 37.2 2.9 284 27.9

Valencia County----------------------- 12 650 13.7 14.7 4 854 595 22.8 2 803 168 13.0 2 520 51.8 2.9 344 27.9

PLACE AND COUNTY SUBDIVISION Acomita Lake CDP, Cibola County--------- 67 13.4 40.3 ––– 32 100– 13.3 4 – – 325 10.0

Agua Fria CDP, Santa Fe County --------- 1 033 9.6 8.3 193 707 29.9 120 177 10.7 206 49.0 – 427 25.7

Alamogordo city, Otero County ---------- 6 681 12.4 23.8 3 934 591 21.2 1 492 146 11.5 3 801 65.4 .7 364 25.3

Albuquerque city, Bernalillo County-------- 88 186 9.9 21.1 58 488 741 22.1 18 652 198 12.2 65 632 53.5 1.0 402 27.3

Alcalde CDP, Rio Arriba County ---------- 88 12.5 29.5 2 450 32.5 40 168 25.0 16 25.0 – 350 25.0

Angel Fire village, Colfax County --------- 3 –– ––– ––– 37 75.7 – 325 35.0+ Anthony CDP, Dona Ana County---------- 874 10.5 28.3 164 365 21.4 384 125 12.1 429 50.1 1.9 255 29.6

Artesia city, Eddy County--------------- 2 783 8.3 31.8 1 181 429 17.1 1 177 134 11.7 1 133 59.6 2.5 274 23.1

Aztec city, San Juan County ------------ 1 234 11.2 14.7 512 518 19.2 314 143 11.6 690 62.3 1.2 322 33.1

Bayard city, Grant County -------------- 651 4.3 43.2 170 420 20.4 359 151 12.1 214 57.0 – 199 24.5

Belen city, Valencia County ------------- 1 671 6.7 29.4 691 482 22.2 646 171 13.7 639 41.9 4.7 310 28.7

Bernalillo town, Sandoval County --------- 1 490 7.9 19.5 443 519 24.4 393 167 13.0 476 44.5 3.4 262 28.2

Black Rock CDP, McKinley County--------- 9 –– ––– 9 125 10.0 191 33.0 2.1 268 17.9

Bloomfield city, San Juan County --------- 1 234 10.5 7.6 440 533 20.2 157 150 12.6 445 62.7 1.6 364 26.1

Boles Acres CDP, Otero County ---------- 436 17.4 9.9 91 792 14.7 88 137 10.0 92 48.9 – 346 35.0+

Bosque Farms village, Valencia County ----- 1 189 14.3 8.2 586 749 22.1 155 202 12.2 121 63.6 – 423 21.2

Cannon AFB CDP, Curry County ---------- – –– ––– ––– 748 44.3 – 374 22.3

Capitan village, Lincoln County ----------- 280 7.9 13.2 61 532 13.9 70 185 12.7 90 57.8 – 324 21.7

Carlsbad city, Eddy County-------------- 6 479 8.5 32.6 2 785 472 17.0 2 877 135 11.6 2 776 53.6 1.7 318 24.5

Carlsbad North CDP, Eddy County--------- 438 14.2 16.9 176 828 19.1 105 185 11.9 22 13.6 – 234 35.0+

Carrizozo town, Lincoln County ---------- 342 9.9 39.2 73 502 18.9 175 150 15.4 93 51.6 6.5 286 25.4

Causey village, Roosevelt County --------- 17 – 64.7 2 250 10.0 6 225 15.0 7 – – 275 10.0

Central village, Grant County ------------ 425 10.6 43.5 74 500 19.5 205 147 11.7 168 57.7 6.0 275 24.9

Chama village, Rio Arriba County --------- 246 8.9 34.6 46 557 27.0 110 183 14.5 132 51.5 3.8 253 27.5

Chamisal CDP, Taos County ------------- 88 10.2 53.4 9 350 22.5 62 122 16.3 12 – 41.7 144 25.6

Chaparral CDP, Dona Ana County--------- 718 18.1 1.0 79 306 28.9 72 176 10.0 150 36.7 – 352 22.1

Chimayo CDP------------------------- 815 2.6 41.1 90 508 18.4 458 148 12.7 142 45.8 4.2 323 21.5

Rio Arriba County ------------------- 621 3.4 36.4 72 489 18.9 308 155 12.0 103 60.2 5.8 354 20.7

Santa Fe County -------------------- 194 – 56.2 18 557 16.4 150 133 14.3 39 7.7 – 179 35.0+

Cimarron village, Colfax County ---------- 231 8.7 25.5 63 528 22.8 86 171 14.3 82 22.0 11.0 260 22.9

Clayton town, Union County------------- 694 5.3 32.1 271 487 21.9 336 139 13.3 263 38.8 4.9 267 29.7

Cloudcroft village, Otero County---------- 152 22.4 7.9 83 579 21.6 34 196 10.0 77 74.0 – 350 25.0

Clovis city, Curry County --------------- 7 500 11.6 24.2 4 447 504 20.6 2 170 161 12.5 4 176 62.9 1.9 331 26.9

Cochiti CDP, Sandoval County------------ 159 3.8 27.0 20 313 31.7 132 123 12.8 9 22.2 33.3 225 10.0

Columbus village, Luna County ----------- 178 11.2 11.2 14 414 14.0 67 133 15.1 54 64.8 – 238 35.0+ Corona village, Lincoln County ----------- 73 19.2 28.8 5 483 25.8 46 177 16.4 17 29.4 – 207 15.5

Corrales village ----------------------- 1 696 12.3 14.0 877 968 19.8 382 195 11.5 346 40.5 4.6 474 22.0

Bernalillo County -------------------- 205 12.7 20.0 102 1 012 15.7 53 213 10.0 18 27.8 – 1 000+ 34.3

Sandoval County -------------------- 1 491 12.2 13.2 775 964 20.4 329 193 11.7 328 41.2 4.9 474 21.3

Crownpoint CDP, McKinley County -------- 159 10.7 11.3 16 200– 16.0 76 172 15.8 353 26.9 2.0 214 13.7

Cuba village, Sandoval County ----------- 139 6.5 31.7 12 300 13.3 52 166 15.9 133 43.6 1.5 233 29.3

Cuyamungue CDP, Santa Fe County ------- 82 17.1 35.4 29 650 21.3 31 229 12.4 29 44.8 – 363 10.8

Deming city, Luna County--------------- 2 615 8.6 25.4 934 413 24.2 950 131 12.1 1 446 48.0 1.1 251 26.2

Des Moines village, Union County--------- 46 – 17.4 4 450 27.5 19 157 23.5 7 100.0 – 475 10.0

Dexter town, Chaves County ------------ 210 10.5 19.0 98 366 17.8 70 141 14.0 74 55.4 – 275 25.0

Dona Ana CDP, Dona Ana County -------- 225 3.1 18.7 40 283 22.1 45 100– 13.2 59 28.8 – 287 23.9

Dora village, Roosevelt County ----------- 36 – 25.0 8 333 23.3 15 163 12.5 15 40.0 – 175 16.7

Dulce CDP, Rio Arriba County------------ 358 8.1 19.3 111 274 14.2 144 135 11.8 299 33.1 2.7 250 15.9

Eagle Nest village, Colfax County --------- 47 – 6.4 7 750 27.5 12 200 10.0 24 54.2 – 313 24.4

Edgewood CDP ----------------------- 1 041 12.0 2.8 312 816 24.1 65 148 10.0 117 45.3 – 469 33.3

Santa Fe County -------------------- 903 9.9 3.2 289 828 24.2 51 152 10.0 101 41.6 – 474 33.6

Torrance County -------------------- 138 26.1 – 23 588 21.9 14 138 10.0 16 68.8 – 296 30.8

62 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 63

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 16. Homeowner and Renter Characteristics: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

All owner-occupied housing units

Percent with householder moved into unitm

Specified owner-occupied housing units

With a mortgage Not mortgaged

All renter-occupied housing units

Percent with householder moved into unitm

Specified renter paying cash rent

Total

1989 to

March

1990 1969 orearlier Total

Median selected monthly

owner costs

(dollars)

Median selected

monthly

owner costs as

a percentage of

household income in

1989 Total

Median selected monthly

owner costs

(dollars)

Median selected

monthly

owner costs as

a percentage of

household income in

1989 Total

1989 to

March

1990 1969 orearlier

Median

gross

rent (dollars)

Median

gross rent

as a percentage of

household income in

1989

PLACE AND COUNTY SUBDIVISIONm Con.

Eldorado at Santa Fe CDP, Santa Fe County - 838 19.2 – 590 914 23.0 112 198 10.8 52 82.7 – 827 35.0+ Elida town, Roosevelt County ------------ 59 15.3 25.4 14 283 13.8 40 181 16.0 17 58.8 – 219 35.0+

Encino village, Torrance County----------- 43 – 51.2 2 350 10.0 20 190 14.3 13 23.1 53.8 400 32.5

Espanola city ------------------------- 2 045 12.1 29.4 455 583 20.9 720 170 13.2 966 45.7 2.4 288 29.3

Rio Arriba County ------------------- 1 548 12.0 29.8 272 566 18.8 560 169 13.0 669 50.1 2.7 294 31.4

Santa Fe County -------------------- 497 12.3 28.2 183 596 24.5 160 175 14.2 297 35.7 1.7 275 25.6

Estancia town, Torrance County ---------- 245 7.3 24.1 68 463 19.4 101 147 15.1 59 55.9 – 290 35.0+

Eunice city, Lea County ---------------- 722 9.3 18.8 298 437 16.0 281 137 12.5 221 66.1 4.1 265 21.3

Farmington city, San Juan County -------- 7 793 10.8 18.9 4 464 668 20.1 1 490 184 12.2 4 186 53.6 1.1 378 24.1

Flora Vista CDP, San Juan County -------- 309 18.4 20.1 90 658 18.4 54 175 11.7 34 76.5 – 457 22.5

Floyd village, Roosevelt County ---------- 32 18.8 28.1 4 400 20.0 8 150 10.0 15 60.0 13.3 – – Folsom village, Union County ------------ 41 22.0 7.3 10 450 30.0 6 150 20.0 15 73.3 – 175 10.0

Fort Sumner village, DeBaca County ------- 408 7.8 37.0 86 400 25.9 237 138 14.0 125 33.6 11.2 225 28.3

Gallup city, McKinley County ------------ 3 755 11.3 24.8 1 643 672 19.7 1 019 205 12.3 2 449 48.5 2.3 353 24.1

Grady village, Curry County ------------- 32 – 56.3 9 583 25.5 12 175 10.0 3 – –– – Grants city, Cibola County -------------- 1 919 8.5 31.2 783 451 20.6 771 163 13.1 1 038 55.4 1.0 252 21.2

Grenville village, Union County ----------- 5 –– ––– ––– 5 – –– –

Hagerman town, Chaves County---------- 226 8.4 35.0 73 364 26.1 111 121 11.6 99 64.6 – 218 34.0

Hatch village, Dona Ana County ---------- 292 9.2 32.9 73 404 26.8 128 142 14.7 114 53.5 – 257 35.0+ Hobbs city, Lea County ---------------- 6 764 11.5 26.9 3 708 493 17.2 1 960 154 12.0 3 478 58.5 1.5 324 25.1

Holloman AFB CDP, Otero County--------- 22 100.0 – 6 350 10.0 16 100– 10.0 1 353 45.2 – 387 21.4

Hope village, Eddy County -------------- 42 – 33.3 3 450 10.0 23 175 14.4 3 – –– –

House village, Quay County ------------- 33 9.1 15.2 2 250 10.0 23 113 17.7 7 – 71.4 342 20.8

Hurley town, Grant County-------------- 470 2.6 42.8 145 361 20.2 245 150 11.3 82 56.1 1.2 328 18.4

Isleta Pueblo CDP---------------------- 497 4.2 40.6 19 250 10.0 404 100– 12.8 53 17.0 – 194 19.0

Bernalillo County -------------------- 382 3.4 41.4 12 200– 10.0 338 100– 12.8 47 14.9 – 169 15.0

Valencia County--------------------- 115 7.0 38.3 7 350 10.0 66 112 12.9 6 33.3 – 325 27.5

Jaconita CDP, Santa Fe County----------- 109 13.8 32.1 10 840 27.5 37 168 10.0 21 38.1 – 415 12.4

Jal city, Lea County ------------------- 615 8.8 31.4 197 411 16.1 330 158 12.0 148 53.4 3.4 269 24.7

Jemez Pueblo CDP, Sandoval County ------ 284 1.8 52.1 20 633 16.7 249 174 15.8 26 15.4 – 261 35.0+

Jemez Springs village, Sandoval County ---- 122 2.5 11.5 33 542 22.5 44 166 14.7 27 29.6 25.9 300 23.3

Kirtland CDP, San Juan County----------- 865 12.9 7.3 380 651 21.1 122 174 12.8 159 42.8 – 386 23.0

La Cienega CDP, Santa Fe County--------- 277 14.8 9.7 91 813 21.6 24 146 10.0 88 38.6 – 508 10.0

Laguna CDP, Cibola County ------------- 122 11.5 37.7 31 200– 11.9 79 102 10.5 30 63.3 – 221 15.8

Lake Arthur town, Chaves County -------- 94 2.1 38.3 16 243 27.5 59 116 15.4 11 63.6 – 225 17.5

La Luz CDP, Otero County -------------- 446 17.3 12.1 206 500 22.5 83 134 10.0 139 59.0 4.3 385 24.1

Las Cruces city, Dona Ana County -------- 13 382 12.0 20.1 7 248 612 19.9 3 465 176 11.9 10 415 55.3 1.3 366 28.9

Las Vegas city, San Miguel County ------- 3 409 8.4 36.7 1 149 471 24.6 1 422 182 15.3 1 722 38.0 4.0 261 26.6

Logan village, Quay County ------------- 296 8.1 8.8 62 386 20.5 96 160 15.2 57 56.1 14.0 290 35.0+ Lordsburg city, Hidalgo County----------- 693 7.1 25.7 250 404 20.9 250 152 13.8 341 41.6 8.8 194 29.4

Los Alamos CDP, Los Alamos County ------ 3 186 8.1 29.5 1 682 938 18.3 874 189 10.5 1 653 48.5 1.6 454 18.0

Los Chaves CDP, Valencia County--------- 1 120 12.4 10.3 365 638 23.1 232 164 13.0 197 52.3 5.1 370 24.3

Los Lunas village, Valencia County -------- 1 518 19.6 12.4 858 565 24.0 256 177 13.0 541 44.2 1.1 329 31.5

Los Ranchos de Albuquerque village, Berna- lillo County ------------------------- 1 159 5.8 22.8 519 839 22.3 362 233 11.7 295 46.1 8.5 458 29.5

Los Trujillos-Gabaldon CDP, Valencia County - 527 10.1 32.6 144 611 24.6 187 151 12.0 94 52.1 9.6 296 35.0+

Loving village, Eddy County ------------- 296 12.2 34.8 82 379 15.8 171 124 12.0 95 40.0 7.4 255 24.0

Lovington city, Lea County -------------- 2 294 12.9 23.8 1 201 399 18.3 716 149 12.7 781 52.1 4.5 267 24.0

Magdalena village, Socorro County-------- 256 2.3 36.3 37 383 17.9 135 119 13.7 65 43.1 9.2 267 14.6

Maxwell village, Colfax County ---------- 69 14.5 24.6 15 550 23.8 27 145 16.9 36 55.6 5.6 206 23.9

Meadow Lake CDP, Valencia County------- 476 18.5 – 42 706 26.7 19 213 19.0 58 69.0 – 406 16.5

Melrose village, Curry County------------ 224 8.9 30.8 48 420 20.6 122 155 16.3 63 52.4 4.8 283 25.8

Mescalero CDP, Otero County------------ 95 8.4 45.3 12 340 12.0 64 119 12.0 205 15.6 5.9 283 15.7

Mesilla town, Dona Ana County ---------- 516 3.7 33.7 246 659 15.4 222 161 12.4 211 43.1 6.2 330 26.8

Mesita CDP, Cibola County-------------- 133 9.8 26.3 50 200– 11.1 62 100– 11.3 30 – – 135 16.0

Mexican Springs CDP, McKinley County ---- 8 –– ––– 8 100– 10.0 34 – – 175 13.1

Milan village, Cibola County ------------- 434 7.6 18.4 108 446 26.1 97 182 14.0 174 63.2 1.1 263 33.6

Moriarty city, Torrance County----------- 400 19.5 21.8 154 453 25.4 95 185 15.3 113 47.8 2.7 350 35.0+

Mosquero village ---------------------- 61 3.3 44.3 3 350 15.0 45 141 16.1 5 20.0 – 100– 10.0

Harding County --------------------- 61 3.3 44.3 3 350 15.0 45 141 16.1 5 20.0 – 100– 10.0

San Miguel County ------------------ – – – – – – – – – – – –– –

Mountainair town, Torrance County ------- 261 5.0 38.3 49 369 33.2 153 143 16.1 98 38.8 3.1 289 31.3

Nambe CDP, Santa Fe County ----------- 412 5.8 30.8 118 636 20.0 179 161 13.4 63 27.0 – 436 20.4

Naschitti CDP, San Juan County ---------- 53 – 11.3 31 200– 10.0 22 100– 17.8 31 – – 225 10.0

Navajo CDP, McKinley County ----------- 47 – 48.9 ––– ––– 344 46.5 – 197 13.0

Newcomb CDP, San Juan County --------- 69 10.1 34.8 21 336 17.5 15 100– 10.0 32 18.8 – 165 12.3

North Acomita Village CDP, Cibola County -- 69 – 44.9 ––– 46 134 11.8 30 70.0 – 383 15.0

North Valley CDP, Bernalillo County ------- 3 562 10.2 26.3 1 266 710 22.7 945 176 12.2 911 47.7 1.9 397 31.0

Ojo Amarillo CDP, San Juan County ------- 11 – – 8 200– 10.0 3 125 10.0 185 20.0 – 181 23.5

Paguate CDP, Cibola County ------------- 97 16.5 44.3 6 450 35.0+ 76 121 16.9 62 22.6 24.2 356 30.0

Paradise Hills CDP, Bernalillo County------- 1 524 10.7 11.5 1 275 786 21.4 206 205 10.8 380 46.3 1.8 604 24.5

Paraje CDP, Cibola County -------------- 117 12.0 29.9 41 219 14.6 39 100– 10.0 43 20.9 – 182 10.7

Pecos village, San Miguel County --------- 287 5.2 42.5 30 475 18.8 148 168 13.1 85 60.0 8.2 413 35.0+

Pena Blanca CDP, Sandoval County-------- 76 – 60.5 10 629 35.0+ 40 156 11.4 16 43.8 25.0 225 16.7

Penasco CDP, Taos County -------------- 157 8.9 24.8 8 1 000 23.3 84 167 17.7 74 41.9 – 371 35.0+

Peralta CDP, Valencia County ------------ 959 13.3 14.6 308 710 24.1 152 178 11.1 119 62.2 – 344 20.8

Placitas CDP, Sandoval County ----------- 553 18.6 8.9 332 1 127 21.9 154 178 11.4 77 29.9 – 333 18.4

Pojoaque CDP, Santa Fe County ---------- 278 20.1 19.4 38 690 17.3 58 187 12.1 87 42.5 – 250 17.9

Portales city, Roosevelt County----------- 2 184 8.2 25.9 970 437 19.1 954 133 12.9 1 634 57.5 1.5 268 28.5

Questa village, Taos County ------------- 460 7.4 37.0 75 539 26.7 213 163 13.7 120 38.3 – 324 33.3

Ranchos De Taos CDP, Taos County ------- 477 4.0 26.0 147 584 22.7 202 161 11.3 132 34.1 – 380 35.0+ Raton city, Colfax County -------------- 2 049 8.4 34.2 658 485 19.8 903 156 12.6 832 50.1 2.2 254 27.4

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 63
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 64

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 16. Homeowner and Renter Characteristics: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

All owner-occupied housing units

Percent with householder moved into unitm

Specified owner-occupied housing units

With a mortgage Not mortgaged

All renter-occupied housing units

Percent with householder moved into unitm

Specified renter paying cash rent

Total

1989 to

March

1990 1969 orearlier Total

Median selected monthly

owner costs

(dollars)

Median selected

monthly

owner costs as

a percentage of

household income in

1989 Total

Median selected monthly

owner costs

(dollars)

Median selected

monthly

owner costs as

a percentage of

household income in

1989 Total

1989 to

March

1990 1969 orearlier

Median

gross

rent (dollars)

Median

gross rent

as a percentage of

household income in

1989

PLACE AND COUNTY SUBDIVISIONm Con.

Red River town, Taos County ------------ 80 21.3 27.5 5 450 22.5 23 342 11.5 83 51.8 – 457 26.4

Reserve village, Catron County ----------- 66 – 48.5 ––– 32 142 10.0 37 54.1 – 227 35.0+

Rio Communities CDP, Valencia County----- 1 157 9.2 1.0 707 544 23.4 313 169 12.8 199 59.8 – 435 27.0

Rio Rancho city, Sandoval County--------- 9 658 17.2 1.1 7 659 678 23.8 1 374 174 11.7 2 000 54.1 .9 541 26.4

Roswell city, Chaves County------------- 11 188 10.0 21.1 6 116 456 19.4 3 761 147 12.8 5 007 57.3 1.1 343 28.5

Roy village, Harding County ------------- 115 4.3 34.8 14 356 12.7 72 150 14.1 34 50.0 – 232 18.3

Ruidoso village, Lincoln County----------- 1 313 13.0 10.0 673 734 28.7 321 217 14.5 582 70.6 – 386 27.9

Ruidoso Downs village, Lincoln County ----- 250 8.4 17.6 61 412 23.9 52 169 16.3 94 59.6 3.2 382 33.8

Sandia CDP, Bernalillo County------------ 10 100.0 – ––– 10 100– – 1 762 38.2 – 404 21.8

Sandia Heights CDP, Bernalillo County ----- 1 201 16.0 – 1 016 1 431 23.0 97 318 10.0 152 53.9 – 849 26.4

San Felipe Pueblo CDP, Sandoval County --- 263 2.7 20.9 14 270 17.5 192 143 13.7 12 8.3 25.0 188 15.0

San Ildefonso Pueblo CDP, Santa Fe County - 126 6.3 27.8 53 207 10.9 68 109 11.9 17 23.5 – 388 14.0

San Jon village, Quay County------------ 74 12.2 24.3 15 200– 27.5 26 125 12.4 29 51.7 10.3 321 25.9

San Juan CDP, Rio Arriba County --------- 107 13.1 36.4 12 467 17.1 77 119 16.4 11 72.7 – 275 35.0+

Sanostee CDP, San Juan County---------- 131 4.6 9.2 ––– 118 100– 11.7 31 – – 146 13.9

Santa Ana Pueblo CDP, Sandoval County --- 115 7.8 31.3 27 219 11.3 71 121 10.9 5 – 40.0 – –

Santa Clara Pueblo CDP, Rio Arriba County-- 317 5.4 26.2 58 242 14.9 209 118 11.6 55 20.0 – 247 24.1

Santa Cruz CDP, Santa Fe County -------- 644 7.3 23.0 91 698 15.7 209 169 12.7 168 51.2 – 369 31.2

Santa Fe city, Santa Fe County ---------- 13 629 11.2 25.8 7 229 793 22.3 4 263 198 12.0 9 260 44.3 1.6 496 27.7

Santa Rosa city, Guadalupe County ------- 514 3.7 34.8 124 437 26.8 226 142 14.6 287 34.1 1.4 230 35.0+

Santo Domingo Pueblo CDP, Sandoval

County ---------------------------- 362 – 60.5 22 392 22.5 315 177 10.5 – – –– –

San Ysidro village, Sandoval County------- 55 21.8 18.2 7 325 14.0 15 158 18.6 14 28.6 – 342 34.2

Seama CDP, Cibola County-------------- 83 9.6 22.9 36 240 12.4 43 132 13.0 14 – 35.7 200 17.5

Shiprock CDP, San Juan County ---------- 1 023 5.1 39.4 111 398 15.9 584 100– 13.1 800 28.3 2.5 188 18.7

Silver City town, Grant County----------- 2 429 10.0 25.0 986 426 19.0 900 151 11.7 1 441 56.4 5.3 304 27.4

Skyline-Ganipa CDP, Cibola County -------- 179 3.4 8.4 108 200– 14.6 45 100– 11.3 6 16.7 33.3 183 35.0+

Socorro city, Socorro County ------------ 1 826 6.3 22.3 711 547 21.3 513 178 13.7 1 189 52.1 3.4 305 29.9

South Valley CDP, Bernalillo County ------- 8 638 6.4 37.2 3 646 576 24.0 3 399 168 13.5 2 634 49.6 2.9 354 32.5

Springer town, Colfax County------------ 357 6.7 32.2 102 473 24.0 159 162 16.7 129 50.4 .8 214 27.9

Sunland Park city, Dona Ana County ------ 1 398 8.4 14.9 114 288 33.9 790 139 13.2 452 20.6 4.9 264 32.0

Taos town, Taos County --------------- 953 12.1 30.3 323 492 20.1 388 172 16.8 772 44.8 3.6 376 32.7

Taos Pueblo CDP, Taos County ----------- 348 8.3 30.5 92 210 14.8 203 117 15.4 52 21.2 28.8 170 18.6

Tatum town, Lea County --------------- 226 12.4 17.7 76 350 13.1 99 139 12.5 52 38.5 – 311 13.4

Tesuque CDP, Santa Fe County----------- 486 13.4 23.0 108 900 23.8 153 202 10.5 187 14.4 6.4 490 26.5

Texico city, Curry County --------------- 231 12.1 24.2 72 392 26.8 72 138 16.7 97 46.4 – 282 32.9

Tijeras village, Bernalillo County ---------- 84 4.8 17.9 29 610 23.8 18 178 16.4 24 16.7 – 688 27.5

Tohatchi CDP, McKinley County ---------- 35 20.0 – ––– ––– 179 43.6 10.1 243 11.1

Tome-Adelino CDP, Valencia County ------- 536 12.5 24.1 94 664 22.9 134 158 19.7 57 26.3 – 327 35.0+

Truth or Consequences city, Sierra County -- 1 939 13.3 15.9 348 392 22.4 753 129 12.2 894 48.7 2.8 211 26.9

Tucumcari city, Quay County ------------ 1 828 8.2 21.1 611 451 20.7 784 156 13.1 867 56.5 3.3 260 26.2

Tularosa village, Otero County ----------- 700 3.0 25.3 245 410 22.2 285 151 13.4 276 43.8 – 260 31.3

University Park CDP, Dona Ana County----- – –– ––– ––– 636 73.0 – 319 30.6

Vadito CDP, Taos County --------------- 79 7.6 34.2 8 950 35.0+ 48 190 16.0 7 28.6 28.6 313 35.0+

Valencia CDP, Valencia County ----------- 1 123 13.6 12.0 512 655 18.6 181 175 12.1 166 57.2 10.2 365 35.0+

Vaughn town, Guadalupe County --------- 198 4.5 44.4 25 444 33.9 128 187 14.4 70 27.1 – 173 34.2

Virden village, Hidalgo County ----------- 22 – 22.7 7 250 10.0 5 100– 10.0 17 – – 275 10.0

Wagon Mound village, Mora County ------ 120 5.0 35.0 24 322 16.0 72 160 16.0 21 28.6 9.5 100– 13.6

White Rock CDP, Los Alamos County ------ 2 032 7.0 18.6 1 666 893 16.4 212 210 10.4 148 55.4 – 657 20.2

White Sands CDP, Dona Ana County ------ 23 – – 7 200– 10.0 16 260 10.0 679 53.0 – 421 18.2

Willard village, Torrance County ---------- 65 4.6 36.9 9 430 26.9 38 155 15.2 4 100.0 – 175 35.0+

Williamsburg village, Sierra County-------- 177 2.8 12.4 9 325 15.0 72 130 14.1 47 59.6 6.4 317 20.9

Zia Pueblo CDP, Sandoval County--------- 134 9.0 25.4 13 200– 11.8 115 106 10.6 11 9.1 27.3 225 35.0+

Zuni Pueblo CDP, McKinley County -------- 1 077 6.5 30.5 82 200– 17.4 752 133 12.0 187 28.9 – 189 13.8

64 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
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Table 17. Selected Social and Economic Characteristics for American Indian and Alaska Native Areas: 1990

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

American Indian Area

County

American Indian, Eskimo, or Aleut

Persons 16 to 19 years

Not enrolled in

school and not high

school graduate

Persons 25 years and over Persons 16 years and over

Civilian labor force

Persons for whom poverty status is determined

Persons 5 to 17 years

All persons

Persons

3 years

and

overm

Enrolled

in elementary

or high

school Total Total

Not in

labor

force Total

Percent

high

school

graduate

or higher

Percent

with

bachelor’s

degree

or higher Total Total

Percent

unemployed

Per

capita

income

in 1989

(dollars) Total

Percent

with

income

in 1989

below

poverty

level Total

Percent

with

income in

1989

below

poverty

level

AMERICAN INDIAN RESERVATION AND

TRUST LAND

Acoma Pueblo and Trust Lands, NM 2 590 ------- 706 175 23 15 1 269 64.6 5.8 1 648 898 24.5 4 049 2 554 49.9 723 53.4

Acoma Pueblo ---------------------- 2 590 706 175 23 15 1 269 64.6 5.8 1 648 898 24.5 4 049 2 554 49.9 723 53.4

Cibola County -------------------- 2 590 706 175 23 15 1 269 64.6 5.8 1 648 898 24.5 4 049 2 554 49.9 723 53.4

Acoma Trust Lands ------------------ – –––––––––––––– –

Cibola County -------------------- – –––––––––––––– –

Alamo Navajo Reservation, NM 1 259 ----------- 518 119 24 9 518 27.6 2.1 749 403 25.1 2 680 1 226 60.0 408 59.1

Socorro County ------------------- 1 259 518 119 24 9 518 27.6 2.1 749 403 25.1 2 680 1 226 60.0 408 59.1

Canoncito Reservation, NM 1 193 -------------- 307 96 23 17 522 42.3 1.3 741 359 28.1 3 147 1 179 60.3 324 57.7

Bernalillo County ------------------ 1 071 281 74 9 5 483 44.5 1.4 666 334 27.8 3 259 1 057 58.4 274 54.0

Cibola County -------------------- 122 26 22 14 12 39 15.4 – 75 25 32.0 2 172 122 77.0 50 78.0

Sandoval County ------------------ – –––––––––––––– –

Cochiti Pueblo, NM 1 410 -------------------- 221 72 8 5 433 74.8 8.8 563 290 4.1 5 828 786 24.9 203 18.2

Sandoval County ------------------ 1 400 221 72 8 5 433 74.8 8.8 563 290 4.1 5 828 786 24.9 203 18.2

Santa Fe County ------------------ 10 –––––––––––––– –

Isleta Pueblo, NM 2 953 --------------------- 640 164 32 18 1 496 67.4 4.3 1 826 1 209 11.7 7 107 2 704 27.3 683 29.0

Bernalillo County ------------------ 2 176 522 124 21 10 1 127 65.8 4.6 1 385 906 13.1 6 861 2 048 29.8 533 30.0

Torrance County ------------------ – –––––––––––––– –

Valencia County------------------- 777 118 40 11 8 369 72.1 3.5 441 303 7.6 7 873 656 19.4 150 25.3

Jemez Pueblo, NM 1 734 -------------------- 451 107 – – 867 68.4 3.8 1 118 560 21.1 4 775 1 734 36.8 482 46.1

Sandoval County ------------------ 1 734 451 107 – – 867 68.4 3.8 1 118 560 21.1 4 775 1 734 36.8 482 46.1

Jicarilla Apache Reservation, NM 2 636 ---------- 715 189 22 11 1 056 70.0 5.4 1 446 966 18.2 5 719 2 352 29.4 681 29.5

Rio Arriba County ----------------- 2 588 696 189 22 11 1 032 71.0 5.5 1 422 966 18.2 5 775 2 304 28.0 665 27.8

Sandoval County ------------------ 48 19 ––– 24 25.0 – 24 – – 3 000 48 100.0 16 100.0

Laguna Pueblo and Trust Lands, NM 3 724 ------- 930 241 24 19 2 058 72.5 4.1 2 511 1 353 19.4 6 085 3 618 31.2 979 39.3

Laguna Pueblo ---------------------- 3 724 930 241 24 19 2 058 72.5 4.1 2 511 1 353 19.4 6 085 3 618 31.2 979 39.3

Bernalillo County ------------------ 11 2 2 – – 4 100.0 – 6 2 – 12 933 6 –– –

Cibola County -------------------- 3 705 928 239 24 19 2 048 72.5 4.1 2 499 1 349 19.5 6 080 3 604 31.3 977 39.4

Sandoval County ------------------ 8 –––– 6 66.7 – 6 2 – 3 349 8 25.0 2 –

Valencia County------------------- – –––––––––––––– –

Laguna Trust Lands ------------------ – –––––––––––––– –

Cibola County -------------------- – –––––––––––––– –

Mescalero Apache Reservation, NM 2 664 -------- 783 181 28 17 1 038 65.6 1.3 1 434 905 35.5 4 359 2 504 48.9 803 56.4

Lincoln County -------------------- – –––––––––––––– – Otero County--------------------- 2 664 783 181 28 17 1 038 65.6 1.3 1 434 905 35.5 4 359 2 504 48.9 803 56.4

Nambe Pueblo and Trust Lands, NM 1 358 ------- 74 17 1 1 159 74.2 8.8 187 145 8.3 6 723 313 24.0 84 20.2

Nambe Pueblo ---------------------- 1 358 74 17 1 1 159 74.2 8.8 187 145 8.3 6 723 313 24.0 84 20.2

Santa Fe County ------------------ 1 358 74 17 1 1 159 74.2 8.8 187 145 8.3 6 723 313 24.0 84 20.2

Nambe Trust Lands ------------------ – –––––––––––––– –

Santa Fe County ------------------ – –––––––––––––– –

Navajo Reservation and Trust Lands, AZ--NM-

-UT (pt.) --------------------------- 52 319 14 346 3 787 631 367 23 515 41.1 2.7 31 355 13 886 26.9 3 631 50 369 60.9 14 511 62.7

Navajo Reservation (pt.) -------------- 32 075 8 906 2 272 429 259 14 608 46.2 3.2 19 367 8 911 26.9 3 901 30 909 57.4 9 163 58.4

McKinley County ------------------ 11 173 3 121 690 100 88 4 829 45.1 3.5 6 417 3 258 24.9 3 845 10 673 55.7 3 177 58.2

San Juan County ------------------ 20 902 5 785 1 582 329 171 9 779 46.8 3.1 12 950 5 653 28.1 3 931 20 236 58.3 5 986 58.5

Navajo Trust Lands (pt.) -------------- 20 244 5 440 1 515 202 108 8 907 32.7 1.8 11 988 4 975 26.8 3 203 19 460 66.3 5 348 70.1

Cibola County -------------------- 1 542 307 119 36 29 649 49.5 4.5 896 431 37.6 3 555 1 473 65.7 435 62.8

McKinley County ------------------ 12 974 3 407 967 85 67 5 663 32.8 1.7 7 627 3 204 24.4 3 178 12 386 66.0 3 303 70.6

Rio Arriba County ----------------- 73 –––– 46 100.0 – 73 73 37.0 5 955 73 –– –

Sandoval County ------------------ 2 218 761 145 17 – 1 008 25.1 2.2 1 299 340 19.7 2 890 2 147 77.6 657 78.4

San Juan County ------------------ 3 437 965 284 64 12 1 541 28.0 .6 2 093 927 31.7 3 279 3 381 62.1 953 66.0

Picuris Pueblo, NM 1 899 --------------------- 42 6 2 – 95 77.9 – 106 69 23.2 3 187 164 64.6 39 84.6

Taos County --------------------- 1 899 42 6 2 – 95 77.9 – 106 69 23.2 3 187 164 64.6 39 84.6

Pojoaque Pueblo, NM 2 481 ------------------- 34 5 – – 98 74.5 9.2 114 89 2.2 9 520 159 10.7 39 –

Santa Fe County ------------------ 2 481 34 5 – – 98 74.5 9.2 114 89 2.2 9 520 159 10.7 39 –

Ramah Navajo Community, NM 175 ----------- 36 21 2 2 86 34.9 8.1 121 47 40.4 2 868 175 64.0 45 60.0

Cibola County -------------------- 175 36 21 2 2 86 34.9 8.1 121 47 40.4 2 868 175 64.0 45 60.0

Sandia Pueblo, NM 3 944 -------------------- 99 28 – – 212 79.2 13.2 259 198 7.6 7 077 403 19.1 109 21.1

Bernalillo County ------------------ 286 3 ––– 8 50.0 – 8 – – 3 262 13 30.8 3 – Sandoval County ------------------ 3 658 96 28 – – 204 80.4 13.7 251 198 7.6 7 203 390 18.7 106 21.7

San Felipe Pueblo, NM 2 525 ------------------ 499 168 30 26 878 54.2 1.7 1 207 656 13.1 3 924 1 876 42.1 512 45.7

Sandoval County ------------------ 2 525 499 168 30 26 878 54.2 1.7 1 207 656 13.1 3 924 1 876 42.1 512 45.7

San Ildefonso Pueblo, NM 1 586 --------------- 106 17 3 3 165 83.6 7.9 208 110 13.6 6 530 334 10.8 109 6.4

Sandoval County ------------------ – –––––––––––––– – Santa Fe County ------------------ 1 586 106 17 3 3 165 83.6 7.9 208 110 13.6 6 530 334 10.8 109 6.4

San Juan Pueblo, NM 5 237 ------------------ 267 95 13 13 713 79.7 5.2 912 584 13.5 5 613 1 275 35.2 297 32.0

Rio Arriba County ----------------- 5 237 267 95 13 13 713 79.7 5.2 912 584 13.5 5 613 1 275 35.2 297 32.0

Santa Ana Pueblo, NM 624 ----------------- 104 23 – – 270 73.0 3.7 326 232 6.9 6 572 491 12.6 112 15.2

Sandoval County ------------------ 624 104 23 – – 270 73.0 3.7 326 232 6.9 6 572 491 12.6 112 15.2

Santa Clara Pueblo, NM 10 230 ---------------- 340 65 3 – 713 82.0 10.0 868 494 15.2 6 614 1 289 27.9 350 27.1

Rio Arriba County ----------------- 7 722 331 62 3 – 694 81.6 9.8 845 475 15.2 6 611 1 254 28.1 338 28.1

Sandoval County ------------------ – –––––––––––––– – Santa Fe County ------------------ 2 508 9 3 – – 19 100.0 15.8 23 19 15.8 6 704 35 22.9 12 –

Santo Domingo Pueblo, NM 2 773 -------------- 597 214 63 53 1 277 60.1 1.1 1 765 834 12.6 5 217 2 721 34.0 727 45.8

Sandoval County ------------------ 2 773 597 214 63 53 1 277 60.1 1.1 1 765 834 12.6 5 217 2 721 34.0 727 45.8

Santa Fe County ------------------ – –––––––––––––– –

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 65
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Table 17. Selected Social and Economic Characteristics for American Indian and Alaska Native Areas: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

American Indian Area

County

American Indian, Eskimo, or Aleut

Persons 16 to 19 years

Not enrolled in

school and not high

school graduate

Persons 25 years and over Persons 16 years and over

Civilian labor force

Persons for whom poverty status is determined

Persons 5 to 17 years

All persons

Persons

3 years

and

overm

Enrolled

in elementary

or high

school Total Total

Not in

labor

force Total

Percent

high

school

graduate

or higher

Percent

with

bachelor’s

degree

or higher Total Total

Percent

unemployed

Per

capita

income

in 1989

(dollars) Total

Percent

with

income

in 1989

below

poverty

level Total

Percent

with

income in

1989

below

poverty

level

AMERICAN INDIAN RESERVATION AND

TRUST LANDmCon.

Taos Pueblo and Trust Lands, NM 4 701 --------- 255 82 10 3 735 70.9 5.6 913 528 24.8 4 697 1 252 42.7 264 54.9

Taos Pueblo------------------------ 4 629 255 82 10 3 735 70.9 5.6 913 528 24.8 4 712 1 248 42.5 264 54.9

Taos County --------------------- 4 629 255 82 10 3 735 70.9 5.6 913 528 24.8 4 712 1 248 42.5 264 54.9

Taos Trust Lands -------------------- 72 ––––––––––– 4 100.0 – – Taos County --------------------- 72 ––––––––––– 4 100.0 – –

Tesuque Pueblo and Trust Lands, NM 702 ------- 32 8 – – 141 78.0 7.8 163 117 11.1 8 568 223 8.1 26 –

Tesuque Pueblo --------------------- 702 32 8 – – 141 78.0 7.8 163 117 11.1 8 568 223 8.1 26 –

Santa Fe County ------------------ 702 32 8 – – 141 78.0 7.8 163 117 11.1 8 568 223 8.1 26 –

Tesuque Trust Lands ----------------- – –––––––––––––– –

Santa Fe County ------------------ – –––––––––––––– –

Ute Mountain Reservation and Trust Lands,

CO--NM--UT (pt.) --------------------- – –––––––––––––– –

Ute Mountain Reservation (pt.) --------- – –––––––––––––– –

San Juan County ------------------ – –––––––––––––– –

Zia Pueblo and Trust Lands, NM 638 ---------- 159 56 3 3 317 64.0 4.4 424 268 19.4 4 893 638 33.4 181 33.7

Zia Pueblo ------------------------- 638 159 56 3 3 317 64.0 4.4 424 268 19.4 4 893 638 33.4 181 33.7

Sandoval County ------------------ 638 159 56 3 3 317 64.0 4.4 424 268 19.4 4 893 638 33.4 181 33.7

Zia Trust Lands --------------------- – –––––––––––––– – Sandoval County ------------------ – –––––––––––––– –

Zuni Pueblo, AZ--NM (pt.)--------------- 7 445 1 932 536 47 29 3 429 55.4 3.6 4 600 2 962 13.8 3 904 7 071 52.5 1 893 59.0

Catron County -------------------- – –––––––––––––– –

Cibola County -------------------- 11 –––– 11 100.0 – 11 – – 700 11 100.0 – –

McKinley County ------------------ 7 434 1 932 536 47 29 3 418 55.3 3.6 4 589 2 962 13.8 3 909 7 060 52.4 1 893 59.0

San Felipe/ Santa Ana joint area, NM------- – –––––––––––––– –

Sandoval County ------------------ – –––––––––––––– –

San Felipe/ Santo Domingo joint area, NM --- – –––––––––––––– – Sandoval County ------------------ – –––––––––––––– –

66 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
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Table 18. Selected Housing Characteristics for American Indian and Alaska Native Areas: 1990

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

American Indian Area

County

All housing units Occupied housing units with American Indian, Eskimo, or Aleut householder

Vehicles available

Specified owner, median selected monthly owner costs

(dollars)

Total Occupied Total

Owner occupiedRenter occupied

Lacking complete plumbing facilities None 1 or more

With a mortgageNot mortgaged

Specified renter

paying cash

rent, median

gross rent (dollars)

AMERICAN INDIAN RESERVATION AND

TRUST LAND

Acoma Pueblo and Trust Lands, NM 980 ------- 602 584 530 54 73 98 486 300– 100– 343

Acoma Pueblo ---------------------- 980 602 584 530 54 73 98 486 300– 100– 343

Cibola County -------------------- 980 602 584 530 54 73 98 486 300– 100– 343

Acoma Trust Lands ------------------ – – –––––––– –

Cibola County -------------------- – – –––––––– –

Alamo Navajo Reservation, NM 344 ----------- 276 256 188 68 87 63 193 450 100– 238

Socorro County ------------------- 344 276 256 188 68 87 63 193 450 100– 238

Canoncito Reservation, NM 300 -------------- 278 274 237 37 106 86 188 – 100– 200–

Bernalillo County ------------------ 259 245 241 208 33 90 76 165 – 100– 200–

Cibola County -------------------- 41 33 33 29 4 16 10 23 – 100– –

Sandoval County ------------------ – – –––––––– –

Cochiti Pueblo, NM 550 -------------------- 456 212 194 18 – 46 166 300– 134 400

Sandoval County ------------------ 547 453 212 194 18 – 46 166 300– 134 400

Santa Fe County ------------------ 3 3 –––––––– –

Isleta Pueblo, NM 1 038 --------------------- 890 833 756 77 18 122 711 300– 114 200– Bernalillo County ------------------ 771 649 631 569 62 15 90 541 300– 110 200– Torrance County ------------------ – – –––––––– – Valencia County------------------- 267 241 202 187 15 3 32 170 325 131 225

Jemez Pueblo, NM 436 -------------------- 391 391 354 37 45 103 288 567 173 250

Sandoval County ------------------ 436 391 391 354 37 45 103 288 567 173 250

Jicarilla Apache Reservation, NM 922 ---------- 715 632 389 243 52 99 533 300– 139 249

Rio Arriba County ----------------- 895 694 611 368 243 31 99 512 300– 139 249

Sandoval County ------------------ 27 21 21 21 – 21 – 21 –– –

Laguna Pueblo and Trust Lands, NM 1 342 ------- 1 055 1 015 771 244 76 202 813 300– 106 209

Laguna Pueblo ---------------------- 1 342 1 055 1 015 771 244 76 202 813 300– 106 209

Bernalillo County ------------------ 3 3 33 ––– 3 – 150 – Cibola County -------------------- 1 334 1 049 1 009 768 241 76 202 807 300– 105 209

Sandoval County ------------------ 5 3 3 – 3 – – 3 –– – Valencia County------------------- – – –––––––– – Laguna Trust Lands ------------------ – – –––––––– – Cibola County -------------------- – – –––––––– –

Mescalero Apache Reservation, NM 727 -------- 658 613 185 428 4 179 434 321 142 245

Lincoln County -------------------- – – –––––––– –

Otero County--------------------- 727 658 613 185 428 4 179 434 321 142 245

Nambe Pueblo and Trust Lands, NM 566 ------- 510 115 109 6 – 19 96 300– 125 200–

Nambe Pueblo ---------------------- 566 510 115 109 6 – 19 96 300– 125 200–

Santa Fe County ------------------ 566 510 115 109 6 – 19 96 300– 125 200–

Nambe Trust Lands ------------------ – – –––––––– –

Santa Fe County ------------------ – – –––––––– –

Navajo Reservation and Trust Lands, AZ--NM-

-UT (pt.) --------------------------- 18 759 13 012 12 380 9 543 2 837 5 834 2 946 9 434 300– 100– 208

Navajo Reservation (pt.) -------------- 11 514 7 933 7 523 5 759 1 764 2 910 1 707 5 816 300– 100– 205

McKinley County ------------------ 3 899 2 728 2 521 1 987 534 1 275 573 1 948 300– 100– 234

San Juan County ------------------ 7 615 5 205 5 002 3 772 1 230 1 635 1 134 3 868 300– 100– 200–

Navajo Trust Lands (pt.) -------------- 7 245 5 079 4 857 3 784 1 073 2 924 1 239 3 618 300– 100– 219

Cibola County -------------------- 535 381 353 217 136 126 90 263 300– 100– 200–

McKinley County ------------------ 4 711 3 359 3 225 2 621 604 2 100 877 2 348 300– 100– 217

Rio Arriba County ----------------- 55 28 28 – 28 – – 28 –– –

Sandoval County ------------------ 783 528 487 441 46 360 73 414 – 100– 285

San Juan County ------------------ 1 161 783 764 505 259 338 199 565 300– 100– 230

Picuris Pueblo, NM 852 --------------------- 647 60 59 1 – 16 44 300– 192 400

Taos County --------------------- 852 647 60 59 1 – 16 44 300– 192 400

Pojoaque Pueblo, NM 1 019 ------------------- 907 69 16 53 – 11 58 300– 100– 200–

Santa Fe County ------------------ 1 019 907 69 16 53 – 11 58 300– 100– 200–

Ramah Navajo Community, NM 87 ----------- 51 51 51 – 34 14 37 300– 100– –

Cibola County -------------------- 87 51 51 51 – 34 14 37 300– 100– –

Sandia Pueblo, NM 1 425 -------------------- 1 267 112 97 15 – 4 108 300– 111 231

Bernalillo County ------------------ 110 107 –––––––– – Sandoval County ------------------ 1 315 1 160 112 97 15 – 4 108 300– 111 231

San Felipe Pueblo, NM 606 ------------------ 536 331 311 20 43 75 256 300– 146 200–

Sandoval County ------------------ 606 536 331 311 20 43 75 256 300– 146 200–

San Ildefonso Pueblo, NM 668 --------------- 573 107 107 – – 21 86 300– 100– –

Sandoval County ------------------ – – –––––––– –

Santa Fe County ------------------ 668 573 107 107 – – 21 86 300– 100– –

San Juan Pueblo, NM 1 876 ------------------ 1 659 345 312 33 20 52 293 357 136 200–

Rio Arriba County ----------------- 1 876 1 659 345 312 33 20 52 293 357 136 200–

Santa Ana Pueblo, NM 262 ----------------- 164 121 117 4 8 13 108 300– 119 –

Sandoval County ------------------ 262 164 121 117 4 8 13 108 300– 119 –

Santa Clara Pueblo, NM 4 176 ---------------- 3 656 420 335 85 5 60 360 300– 132 303

Rio Arriba County ----------------- 3 097 2 747 403 329 74 5 54 349 300– 132 276

Sandoval County ------------------ – – –––––––– –

Santa Fe County ------------------ 1 079 909 17 6 11 – 6 11 – – 438

Santo Domingo Pueblo, NM 458 -------------- 400 377 374 3 24 11 366 400 172 250

Sandoval County ------------------ 458 400 377 374 3 24 11 366 400 172 250

Santa Fe County ------------------ – – –––––––– –

Taos Pueblo and Trust Lands, NM 2 696 --------- 1 961 424 359 65 114 102 322 300– 118 200–

Taos Pueblo------------------------ 2 662 1 930 424 359 65 114 102 322 300– 118 200– Taos County --------------------- 2 662 1 930 424 359 65 114 102 322 300– 118 200– Taos Trust Lands -------------------- 34 31 –––––––– – Taos County --------------------- 34 31 –––––––– –

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 67
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Table 18. Selected Housing Characteristics for American Indian and Alaska Native Areas: 1990mCon.

[Data based on sample and subject to sampling variability, see text. For definitions of terms and meanings of symbols, see text]

American Indian Area

County

All housing units Occupied housing units with American Indian, Eskimo, or Aleut householder

Vehicles available

Specified owner, median selected monthly owner costs

(dollars)

Total Occupied Total

Owner occupiedRenter occupied

Lacking complete plumbing facilities None 1 or more

With a mortgageNot mortgaged

Specified renter

paying cash

rent, median

gross rent (dollars)

AMERICAN INDIAN RESERVATION AND

TRUST LANDmCon.

Tesuque Pueblo and Trust Lands, NM 326 ------- 279 69 58 11 – 10 59 300– 100– 292

Tesuque Pueblo --------------------- 326 279 69 58 11 – 10 59 300– 100– 292

Santa Fe County ------------------ 326 279 69 58 11 – 10 59 300– 100– 292

Tesuque Trust Lands ----------------- – – –––––––– –

Santa Fe County ------------------ – – –––––––– –

Ute Mountain Reservation and Trust Lands, CO--NM--UT (pt.) --------------------- – – –––––––– – Ute Mountain Reservation (pt.) --------- – – –––––––– – San Juan County ------------------ – – –––––––– –

Zia Pueblo and Trust Lands, NM 170 ---------- 145 145 134 11 2 13 132 300– 108 250

Zia Pueblo ------------------------- 170 145 145 134 11 2 13 132 300– 108 250

Sandoval County ------------------ 170 145 145 134 11 2 13 132 300– 108 250

Zia Trust Lands --------------------- – – –––––––– –

Sandoval County ------------------ – – –––––––– –

Zuni Pueblo, AZ--NM (pt.)--------------- 1 900 1 646 1 462 1 142 320 91 283 1 179 300– 145 200–

Catron County -------------------- – – –––––––– –

Cibola County -------------------- 40 11 11 11 – 11 11 ––– –

McKinley County ------------------ 1 860 1 635 1 451 1 131 320 80 272 1 179 300– 145 200–

San Felipe/ Santa Ana joint area, NM------- – – –––––––– – Sandoval County ------------------ – – –––––––– –

San Felipe/ Santo Domingo joint area, NM --- – – –––––––– –

Sandoval County ------------------ – – –––––––– –

68 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 69

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 19. Percent in Sample, Standard Error, and Confidence Bounds for Population Characteristics: 1990

[For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Persons Median income in 1989 (dollars)

Household

90-percent confidence bounds

Family

90-percent confidence bounds

Nonfamily household

90-percent confidence bounds

100-percent count Percent in sample

Per capita income

in 1989 (dollars)

mStandard error Lower Upper Lower Upper Lower Upper

The State ------------------- 1 515 069 15.7 33 23 940 24 233 27 446 27 810 14 745 15 135

Bernalillo County ---------------------- 480 577 13.5 72 27 128 27 663 32 307 33 030 17 066 17 723

Albuquerque division ----------------- 464 725 13.2 75 27 014 27 543 32 254 32 989 17 014 17 679

Albuquerque city (pt.) -------------- 384 734 13.2 82 27 263 27 896 33 324 34 167 17 217 17 923

Corrales village (pt.) --------------- 535 15.7 4 275 36 638 68 757 44 969 78 300 12 082 57 208

Los Ranchos de Albuquerque village ---- 3 955 12.1 1 542 30 328 42 235 37 943 55 309 11 497 19 966

North Valley CDP------------------ 12 507 13.5 391 22 409 25 851 25 733 29 153 12 403 15 777

Paradise Hills CDP ----------------- 5 513 11.6 500 37 388 42 421 40 178 45 881 16 782 26 521

Sandia CDP ---------------------- 6 742 14.4 203 20 715 22 889 20 568 22 820 2 943 30 660

Sandia Heights CDP ---------------- 3 519 12.2 1 646 63 407 76 183 68 721 83 773 31 769 53 064

South Valley CDP------------------ 35 701 14.3 156 20 193 21 704 21 834 23 831 9 226 12 040

Bernalillo East division ---------------- 12 480 14.5 378 33 012 36 469 35 728 39 735 20 626 25 791

Tijeras village--------------------- 340 28.8 1 068 26 113 35 833 29 683 40 531 7 279 28 780

Bernalillo West division --------------- 1 201 46.4 267 8 664 13 616 9 623 15 219 2 117 3 995

Albuquerque city (pt.) -------------- 2 ––––––– –

Isleta Pueblo division ----------------- 2 171 45.3 235 17 388 20 800 20 069 23 443 5 147 8 049

Isleta Pueblo CDP (pt.) ------------- 1 355 44.0 286 15 132 19 539 18 287 22 642 4 579 7 199

Catron County ------------------------ 2 563 14.6 476 16 041 20 649 19 525 25 142 5 874 9 264

Quemado division ------------------- 924 9.4 900 15 931 23 940 16 637 24 280 3 216 31 495

Reserve division --------------------- 1 639 17.6 566 14 190 20 370 20 183 26 661 5 692 8 450

Reserve village-------------------- 319 19.1 1 245 11 619 27 169 19 345 27 429 2 636 33 517

Chaves County------------------------ 57 849 14.7 180 21 165 22 363 24 225 25 741 11 388 13 248 Dexter division --------------------- 2 062 32.4 551 16 956 23 040 19 129 24 818 5 846 9 543

Dexter town --------------------- 898 47.7 414 17 349 22 383 18 620 23 896 7 911 13 641

Hagerman division ------------------- 2 149 34.5 378 14 128 17 353 15 892 21 546 5 876 9 535

Hagerman town------------------- 961 40.8 403 12 586 14 681 13 651 17 804 4 978 10 273

Lake Arthur town ----------------- 336 40.8 474 11 779 19 807 17 711 21 650 4 096 8 335

Northeast Chaves division ------------- 113 19.5 6 101 25 803 42 055 25 803 42 055 – – Northwest Chaves division ------------- 2 444 14.1 552 20 285 25 858 21 949 30 331 11 039 16 694

Roswell city (pt.)------------------ 16 25.0 – – 50 000 – 50 000 – – Roswell division --------------------- 45 329 13.0 223 21 343 22 795 24 628 26 646 11 719 14 009

Roswell city (pt.)------------------ 43 187 13.0 218 21 131 22 610 24 445 26 519 11 451 13 770

Southeast Chaves division ------------- 1 420 12.5 1 666 19 553 33 042 20 708 33 622 4 052 30 185

Southwest Chaves division ------------- 4 332 15.0 566 16 347 21 871 19 154 23 804 5 849 9 964

Roswell city (pt.)------------------ 1 451 15.5 731 18 089 24 526 19 595 27 930 6 265 18 178

Cibola County ------------------------ 23 794 24.9 125 16 251 17 445 17 795 19 636 8 226 10 356

Fence Lake division ------------------ 105 23.8 2 318 12 510 48 992 14 412 49 970 – 5 000

Grants division---------------------- 17 619 23.6 149 16 677 18 353 18 554 20 560 8 972 10 958

Acomita Lake CDP ----------------- 273 48.4 427 12 540 21 835 13 083 22 000 2 369 11 316

Grants city ---------------------- 8 626 15.2 302 16 887 20 214 19 168 23 002 9 382 11 895

Milan village --------------------- 1 911 41.4 249 15 077 16 864 16 219 18 763 8 400 11 547

North Acomita Village CDP----------- 314 34.7 662 8 377 20 306 13 108 22 027 2 458 7 124

Skyline-Ganipa CDP ---------------- 946 47.4 278 12 494 16 546 10 832 15 002 3 056 16 759

Laguna division --------------------- 4 218 21.2 337 15 845 20 232 16 543 20 828 6 140 11 798

Laguna CDP---------------------- 434 16.1 933 15 844 28 022 12 376 29 339 11 109 28 543

Mesita CDP ---------------------- 627 26.2 591 12 138 17 426 11 830 20 030 10 487 18 864

Paguate CDP --------------------- 492 12.8 686 4 462 14 119 6 371 14 610 812 21 284

Paraje CDP ---------------------- 622 21.4 524 18 069 26 011 17 921 26 926 5 514 28 015

Seama CDP ---------------------- 403 36.0 664 20 202 24 832 17 202 24 082 1 304 8 045

Zuni-Ramah Navajo division ------------ 1 852 45.2 287 6 842 9 284 8 271 11 610 3 226 4 610

Colfax County ------------------------ 12 925 22.0 233 19 922 21 661 22 847 25 177 10 346 12 485

Cimarron division -------------------- 2 045 35.2 386 20 392 22 742 20 976 23 703 12 833 18 377

Angel Fire village ------------------ 93 30.1 1 386 11 131 28 981 6 377 27 773 – 55 000

Cimarron village------------------- 774 50.5 324 16 072 19 284 17 808 21 189 7 018 13 224

Eagle Nest village ----------------- 189 15.3 2 025 20 526 27 698 23 601 31 537 5 762 22 249 Raton division ---------------------- 8 424 14.6 369 19 982 22 971 23 641 26 717 10 220 13 036

Maxwell village (pt.) --------------- – ––––––– – Raton city ----------------------- 7 372 13.9 401 18 428 21 876 22 221 25 905 9 278 12 516

Springer division -------------------- 2 456 36.2 397 16 028 18 888 18 964 22 471 7 231 9 815

Maxwell village (pt.) --------------- 247 51.0 536 10 765 15 264 14 761 21 378 2 774 5 445

Springer town -------------------- 1 262 42.9 446 14 543 17 659 18 286 21 395 6 618 9 035

Curry County ------------------------- 42 207 15.6 160 20 695 21 911 23 181 25 072 11 884 13 879

Broadview division ------------------- 440 24.8 819 22 649 30 908 23 288 31 209 2 747 33 626

Grady village --------------------- 110 33.6 1 316 24 167 44 166 24 167 44 166 – –

Clovis division ---------------------- 40 603 15.1 167 20 655 21 917 23 060 25 075 12 036 14 175

Cannon AFB CDP ------------------ 3 312 15.8 364 18 744 21 728 18 744 21 728 – –

Clovis city ----------------------- 30 954 13.9 198 20 444 21 999 23 315 25 832 12 266 14 719

Texico city----------------------- 966 39.9 349 12 771 16 489 15 308 18 753 5 898 8 184

Melrose division--------------------- 1 164 30.7 613 17 801 22 278 21 497 28 060 6 067 9 857

Melrose village ------------------- 662 39.3 535 13 839 18 892 19 755 23 830 5 974 9 252

DeBaca County ----------------------- 2 252 46.1 345 14 410 17 009 18 564 20 718 7 717 10 222

East De Baca division ---------------- 2 028 45.4 378 14 281 17 026 18 512 20 861 7 508 10 120

Fort Sumner village ---------------- 1 269 46.0 393 11 807 13 987 16 055 19 069 6 701 9 380

West De Baca division ---------------- 224 52.2 735 12 852 19 341 16 674 25 268 7 165 11 487

Dona Ana County --------------------- 135 510 15.6 94 21 419 22 298 24 145 25 261 12 487 13 742

Anthony division -------------------- 17 574 14.6 149 17 003 19 364 17 301 19 790 11 417 15 754

Anthony CDP --------------------- 5 160 15.3 208 12 070 14 469 12 605 15 420 4 188 9 707

Chaparral CDP -------------------- 2 962 13.5 438 17 633 23 923 17 894 24 403 10 442 24 226

Dona Ana-Hill division ---------------- 15 558 11.5 287 24 791 27 753 25 532 30 025 13 614 21 096

Dona Ana CDP-------------------- 1 202 9.5 426 12 929 18 823 14 188 19 477 5 514 16 642

Las Cruces city (pt.) --------------- 3 241 11.8 605 26 645 31 849 27 345 34 030 16 838 29 652

Fairacres division -------------------- 3 895 26.9 515 26 164 29 804 27 163 32 758 13 951 24 404

Mesilla town (pt.) ----------------- 7 ––––––– –

Hatch division ---------------------- 3 849 28.0 266 12 804 14 696 14 405 16 802 5 421 7 577

Hatch village --------------------- 1 136 34.2 472 11 538 14 124 13 222 17 369 6 667 10 818

Las Cruces division------------------- 76 117 15.9 138 22 326 23 648 27 217 28 874 12 416 13 765

Las Cruces city (pt.) --------------- 58 885 15.2 162 22 504 24 011 28 037 30 006 12 363 13 863

Mesilla town (pt.) ----------------- 1 968 38.0 685 22 620 28 273 29 061 37 226 10 065 13 890

University Park CDP ---------------- 4 520 13.1 153 8 233 12 408 7 405 11 466 9 122 17 242

South Dona Ana division -------------- 15 901 13.4 249 16 295 18 771 16 994 19 242 10 352 13 525

Sunland Park city------------------ 8 179 13.9 139 11 280 13 803 11 309 13 980 5 276 14 448

White Sands division ----------------- 2 616 15.8 330 22 788 26 843 23 268 27 009 12 501 29 285

White Sands CDP------------------ 2 616 15.8 330 22 788 26 843 23 268 27 009 12 501 29 285

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 69
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 70

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 19. Percent in Sample, Standard Error, and Confidence Bounds for Population Characteristics: 1990mCon.

[For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Persons Median income in 1989 (dollars)

Household

90-percent confidence bounds

Family

90-percent confidence bounds

Nonfamily household

90-percent confidence bounds

100-percent count Percent in sample

Per capita income

in 1989 (dollars)

mStandard error Lower Upper Lower Upper Lower Upper

Eddy County ------------------------- 48 605 13.8 183 22 532 24 303 26 488 28 302 9 838 11 822

Artesia division --------------------- 14 566 11.2 421 20 949 23 983 24 898 29 924 6 868 9 514

Artesia city ---------------------- 10 610 11.0 418 21 070 24 480 25 376 30 620 6 714 9 918

Hope village --------------------- 101 35.6 1 141 11 739 20 634 15 249 21 335 3 025 13 992

Carlsbad division -------------------- 31 888 13.7 218 22 947 25 167 26 586 28 617 11 082 14 179

Carlsbad city --------------------- 24 952 13.6 253 21 670 23 829 25 490 27 543 10 800 13 185

Carlsbad North CDP ---------------- 1 167 17.2 1 252 35 893 47 691 38 822 53 889 20 827 32 624

Loco Hills division ------------------- 300 17.0 1 019 19 596 34 940 19 071 36 767 6 236 36 171

Loving division---------------------- 1 851 35.5 411 17 770 22 828 19 999 27 388 3 959 7 088

Loving village--------------------- 1 243 42.5 394 14 364 17 607 16 476 21 349 4 960 8 189

Grant County------------------------- 27 676 17.8 184 20 498 22 201 23 411 25 349 12 196 14 142

Bayard-Santa Rita division ------------- 3 665 13.1 374 14 656 20 003 16 445 22 108 6 462 13 285

Bayard city ---------------------- 2 598 13.1 413 14 082 20 037 15 020 22 799 6 212 13 987

Hurley town (pt.) ----------------- – ––––––– –

Central division --------------------- 3 164 40.3 261 16 452 18 839 17 667 21 080 10 807 12 905

Central village -------------------- 1 835 47.9 281 14 795 16 377 16 394 18 358 7 240 10 294

Hurley division ---------------------- 1 794 38.5 311 19 627 22 197 21 548 24 806 8 758 11 837

Hurley town (pt.) ----------------- 1 534 38.7 287 19 180 21 819 20 913 23 830 7 847 11 409

Mimbres division -------------------- 1 096 14.1 1 035 16 824 21 404 18 322 26 475 8 250 17 469

Pinos Altos division ------------------ 958 14.6 1 677 17 680 24 751 19 188 32 482 10 736 20 840

Silver City division ------------------- 15 177 13.1 323 21 461 24 739 24 726 27 986 13 031 16 523

Silver City town------------------- 10 683 13.3 344 18 147 20 994 21 162 25 056 10 395 14 814

Tyrone division --------------------- 1 822 11.4 858 23 609 32 613 24 965 34 155 7 151 20 157

Guadalupe County --------------------- 4 156 33.6 238 12 420 14 280 14 517 16 451 6 004 7 742

Dilia division ----------------------- 529 17.8 479 9 193 14 132 9 624 15 441 3 697 13 382

Santa Rosa division ------------------ 2 886 35.3 303 13 168 15 674 15 270 17 476 6 048 8 313

Santa Rosa city ------------------- 2 263 37.9 268 12 608 15 414 14 721 18 172 6 085 7 941

Vaughn division --------------------- 741 38.3 406 9 202 13 570 12 773 17 390 4 992 7 078

Vaughn town--------------------- 633 39.7 453 8 961 14 180 13 445 22 074 4 651 6 914

Harding County ----------------------- 987 46.5 478 18 159 19 880 21 015 24 405 8 099 11 779

North Harding division ---------------- 805 46.7 470 17 791 19 709 20 337 24 029 8 071 11 702

Mosquero village (pt.)-------------- 164 45.7 1 131 13 694 23 568 21 033 30 587 6 995 13 641

Roy village ---------------------- 362 47.5 706 18 035 19 777 19 367 22 424 6 116 9 841

South Harding division ---------------- 182 45.6 1 494 18 338 27 480 20 552 35 844 3 833 15 584

Hidalgo County ----------------------- 5 958 13.8 467 20 395 26 595 23 139 30 546 10 386 14 794

North Hidalgo division ---------------- 4 667 14.1 479 16 667 20 918 18 984 24 430 8 506 13 519

Lordsburg city -------------------- 2 951 13.2 429 14 071 18 240 15 976 20 529 7 688 14 100

Virden village--------------------- 108 18.5 2 581 12 879 32 441 13 749 67 504 – 22 500

South Hidalgo division ---------------- 1 291 12.8 1 083 35 498 41 002 35 781 41 567 14 135 39 839

Lea County -------------------------- 55 765 15.0 154 22 551 24 154 25 700 27 543 10 562 12 316

Eunice division ---------------------- 3 014 14.6 523 19 937 25 959 23 784 29 848 6 765 12 510

Eunice city----------------------- 2 676 14.8 564 21 150 27 222 24 341 32 434 6 861 14 836

Hobbs division ---------------------- 36 880 13.1 220 22 873 25 200 26 179 28 677 10 493 12 892

Hobbs city----------------------- 29 115 12.9 258 21 655 24 078 24 405 27 156 10 570 13 842

Jal division ------------------------ 2 335 40.1 302 20 423 23 345 23 739 27 565 10 942 14 297

Jal city ------------------------- 2 156 40.6 317 20 601 23 584 23 970 28 083 10 230 13 871

Lovington division ------------------- 12 107 13.4 271 21 156 24 036 23 214 27 276 9 052 14 115

Lovington city -------------------- 9 322 13.3 313 20 004 22 910 21 942 25 616 9 253 14 110

Tatum division ---------------------- 1 429 35.3 760 20 112 23 079 22 000 25 119 5 665 12 328

Tatum town---------------------- 768 45.2 594 20 274 25 759 22 718 28 693 5 760 11 065

Lincoln County ------------------------ 12 219 25.4 251 18 291 20 478 22 380 25 422 9 473 11 109

Capitan division --------------------- 2 223 30.5 416 19 038 24 040 25 551 28 591 10 952 14 349

Capitan village-------------------- 842 36.1 613 15 711 20 043 18 967 27 183 9 665 13 755

Ruidoso village (pt.) --------------- – ––––––– –

Carrizozo division ------------------- 1 260 38.7 566 15 223 20 409 21 219 24 778 6 758 9 834

Carrizozo town ------------------- 1 075 37.9 636 13 960 19 082 20 768 24 716 6 479 9 478

Corona division --------------------- 524 33.8 693 15 294 21 766 16 462 25 929 4 890 24 025

Corona village -------------------- 215 35.8 912 12 690 25 707 14 361 32 194 6 177 25 048

Hondo division---------------------- 889 12.7 1 078 7 584 14 862 6 997 15 969 6 082 15 307

Ruidoso division--------------------- 7 323 22.5 380 19 477 21 700 23 173 26 689 8 981 11 195

Ruidoso village (pt.) --------------- 4 600 17.7 521 19 814 22 760 23 511 30 410 9 149 12 001

Ruidoso Downs village -------------- 920 44.9 266 14 608 17 518 17 677 20 096 6 221 8 863

Los Alamos County -------------------- 18 115 13.9 413 52 793 56 431 58 933 62 614 30 060 35 764

Los Alamos division ------------------ 11 853 14.9 504 45 411 50 563 53 508 59 063 28 603 34 196

Los Alamos CDP ------------------ 11 455 14.9 518 45 580 51 002 54 164 60 221 28 624 34 847

White Rock division ------------------ 6 262 12.0 673 61 082 66 577 63 162 69 588 31 732 52 615

White Rock CDP------------------- 6 192 12.0 674 61 252 66 881 63 426 70 038 31 735 52 609

Luna County ------------------------- 18 110 15.6 210 14 975 16 392 16 611 18 657 8 293 10 684

Deming North division ---------------- 14 295 14.0 238 14 866 16 641 16 298 18 877 8 611 11 687

Deming city (pt.)------------------ 10 968 14.1 278 14 623 16 489 15 981 18 671 8 413 11 704

Deming South division ---------------- 3 815 21.5 445 14 213 16 567 16 527 19 775 6 395 9 304

Columbus village ------------------ 641 43.7 854 8 989 12 935 10 506 14 458 6 184 9 372

Deming city (pt.)------------------ 2 ––––––– –

McKinley County ---------------------- 60 686 11.4 142 16 670 18 223 17 046 18 663 8 937 12 325

Crownpoint division ------------------ 5 324 9.9 532 8 773 18 023 11 641 17 923 2 805 5 794

Crownpoint CDP------------------- 2 108 8.8 764 19 730 30 469 16 071 30 030 2 617 26 635

Gallup division ---------------------- 21 241 11.7 279 23 905 27 308 25 906 29 883 14 236 18 204

Gallup city (pt.)------------------- 19 102 11.9 290 24 882 28 500 27 318 31 247 14 602 18 483

Red Rock division-------------------- 17 695 11.4 207 10 012 11 724 10 829 12 464 3 772 5 125

Gallup city (pt.)------------------- 52 30.8 1 519 1 659 31 789 1 659 31 789 – –

Reservation division ------------------ 9 044 8.2 417 11 240 16 195 11 131 15 669 4 347 25 686

Mexican Springs CDP--------------- 242 11.2 651 3 960 30 520 2 362 31 319 – 17 500

Navajo CDP ---------------------- 1 985 3.1 951 16 246 28 029 10 842 26 743 25 342 29 868

Tohatchi CDP --------------------- 661 7.0 3 030 19 644 46 226 18 986 47 403 3 123 141 078

Zuni division ----------------------- 7 382 15.3 198 15 278 18 066 14 487 17 189 14 054 23 900

Black Rock CDP ------------------- 858 16.8 682 8 288 18 711 6 612 15 102 15 076 20 353

Zuni Pueblo CDP ------------------ 5 857 14.7 217 15 811 19 771 15 331 18 766 13 264 27 860

Mora County ------------------------- 4 264 16.7 468 11 642 15 421 16 039 19 167 5 272 8 595

Mora division ---------------------- 3 223 9.1 596 10 764 15 574 13 637 19 075 4 551 10 349

Wagon Mound division --------------- 1 041 40.0 750 14 196 21 083 19 183 23 257 5 181 7 559

Wagon Mound village -------------- 319 47.3 869 9 109 22 607 18 814 24 145 2 473 5 306

70 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 71

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 19. Percent in Sample, Standard Error, and Confidence Bounds for Population Characteristics: 1990mCon.

[For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Persons Median income in 1989 (dollars)

Household

90-percent confidence bounds

Family

90-percent confidence bounds

Nonfamily household

90-percent confidence bounds

100-percent count Percent in sample

Per capita income

in 1989 (dollars)

mStandard error Lower Upper Lower Upper Lower Upper

Otero County------------------------- 51 928 15.8 140 22 140 23 319 24 684 26 100 14 791 16 441

Alamogordo division ----------------- 39 405 13.6 172 23 074 24 781 25 847 27 547 15 515 17 389

Alamogordo city ------------------ 27 596 13.7 219 23 514 25 495 26 834 29 061 15 553 17 821

Boles Acres CDP ------------------ 1 409 14.0 802 22 538 30 410 26 262 33 513 5 718 16 567

Holloman AFB CDP----------------- 5 891 11.9 238 19 070 22 245 19 177 22 411 – 12 500

La Luz CDP (pt.) ------------------ 1 625 16.5 966 20 849 26 061 23 326 31 155 8 817 19 666

Mescalero division ------------------- 2 695 44.9 179 13 645 15 902 13 082 15 091 3 590 8 223

Mescalero CDP ------------------- 1 159 43.4 347 14 120 18 152 13 347 17 159 3 154 8 636

Southeast Otero division -------------- 5 073 18.0 516 20 735 25 358 22 894 27 450 10 001 18 054

Cloudcroft village------------------ 636 28.6 896 20 807 26 978 23 281 31 783 11 843 20 647

La Luz CDP (pt.) ------------------ – ––––––– – Tularosa division -------------------- 4 755 15.0 450 15 954 19 050 17 706 21 769 8 286 13 534

Tularosa village ------------------- 2 615 15.8 627 13 222 17 195 14 437 20 117 6 479 12 112

Quay County ------------------------- 10 823 17.1 290 17 395 20 026 21 169 23 684 8 412 10 914

House-Forrest division ---------------- 406 33.3 1 060 13 917 23 546 18 435 26 765 5 036 9 165

House village --------------------- 85 44.7 1 220 7 742 18 363 16 800 21 750 4 706 8 346

Logan-Nara Visa division -------------- 1 132 41.3 462 14 707 17 865 17 113 21 837 7 319 11 021

Logan village --------------------- 870 46.0 494 14 736 17 449 16 715 22 192 6 357 10 432

San Jon division -------------------- 641 41.7 531 16 194 21 470 19 217 23 769 7 943 12 029

San Jon village ------------------- 277 43.0 922 13 573 19 605 17 301 23 270 5 880 12 494

Tucumcari division ------------------- 8 644 11.3 418 17 262 20 723 20 967 24 720 8 124 11 702

Tucumcari city -------------------- 6 831 11.0 441 15 225 19 101 18 988 23 411 7 519 11 058

Rio Arriba County --------------------- 34 365 26.1 103 17 810 18 936 20 466 21 822 8 833 10 556

Chimayo division -------------------- 3 625 14.0 470 16 005 20 331 18 777 24 929 5 727 11 761

Chimayo CDP (pt.)----------------- 2 150 13.4 661 17 784 24 938 22 259 29 161 8 825 15 454

Coyote division --------------------- 1 530 10.8 890 14 888 24 985 17 411 29 575 826 4 640

Dixon division ---------------------- 1 369 10.7 847 12 106 25 039 15 675 29 172 3 903 17 749

Jicarilla division --------------------- 2 587 40.4 199 18 809 21 226 18 762 21 596 8 786 13 786

Dulce CDP (pt.) ------------------- 2 438 40.8 203 18 988 21 643 18 703 21 786 9 790 14 666

Rio Chama division ------------------ 2 558 12.9 451 14 237 21 046 14 384 21 256 8 732 23 289

San Juan Pueblo division -------------- 5 209 32.1 241 15 979 17 981 17 732 19 745 5 336 8 143

Alcalde CDP---------------------- 308 45.1 459 9 930 18 803 15 179 21 714 3 270 8 800

Espanola city (pt.)----------------- 811 29.3 795 15 228 19 699 15 154 19 619 5 394 16 995

San Juan CDP -------------------- 465 17.8 1 087 8 819 17 945 12 833 28 767 3 460 14 554

Santa Clara division ------------------ 7 712 42.8 171 20 981 22 920 24 488 26 536 9 869 11 851

Espanola city (pt.)----------------- 4 114 41.4 207 17 891 20 511 20 585 23 220 8 347 11 411

Santa Clara Pueblo CDP ------------- 1 156 42.5 292 14 557 20 046 16 255 21 904 6 032 11 252

South Rio Arriba division -------------- 5 868 14.2 355 16 767 21 402 21 572 26 912 9 237 12 949

Espanola city (pt.)----------------- 1 285 11.5 1 063 14 906 29 193 27 113 36 284 6 817 13 076

Tierra Amarilla division---------------- 2 992 28.5 269 14 441 16 512 15 749 17 779 7 658 13 108

Chama village -------------------- 1 048 33.1 476 12 806 16 570 13 338 17 425 4 614 14 758

Dulce CDP (pt.) ------------------- – ––––––– –

Vallecitas division ------------------- 576 16.5 508 6 664 12 867 10 231 15 070 4 105 6 268

Western Rio Arriba division ------------ 339 4.7 2 680 16 193 67 217 16 193 67 217 – –

Roosevelt County---------------------- 16 702 15.9 271 17 771 19 627 21 202 23 907 9 699 12 714

Dora division ----------------------- 655 44.4 644 20 196 25 560 22 415 27 844 4 050 9 269

Causey village -------------------- 57 43.9 1 298 20 922 38 222 20 519 38 726 – 27 500

Dora village (pt.)------------------ 167 47.9 894 18 218 29 456 19 197 35 758 2 729 41 136

Elida division ----------------------- 1 215 45.7 460 19 088 22 041 21 934 26 342 8 721 11 855

Elida town ----------------------- 201 31.3 1 202 10 589 19 972 11 025 23 462 7 373 19 818

Floyd village --------------------- 117 53.0 1 333 15 718 21 535 19 941 35 088 2 033 12 459

Portales division--------------------- 14 832 12.1 337 17 224 19 540 20 420 23 959 9 536 13 176

Dora village (pt.)------------------ – ––––––– –

Portales city --------------------- 10 690 10.9 391 14 617 17 758 17 895 22 122 8 700 13 178

Sandoval County ---------------------- 63 319 21.8 109 28 382 29 518 30 675 31 577 16 737 18 734

Bernalillo division -------------------- 47 693 20.3 137 30 418 31 338 32 305 33 555 18 330 20 876

Bernalillo town ------------------- 5 960 33.9 182 18 037 20 812 18 994 21 776 9 168 11 646

Corrales village (pt.) --------------- 4 918 23.2 647 35 439 40 418 39 810 45 069 20 006 27 589

Placitas CDP --------------------- 1 611 17.6 1 340 39 050 51 527 46 730 57 201 9 571 31 839

Rio Rancho city ------------------- 32 505 16.4 153 30 945 32 078 32 691 34 247 18 851 22 096

San Felipe Pueblo CDP (pt.) ---------- – ––––––– –

Santa Ana Pueblo CDP (pt.)---------- 476 47.7 384 22 976 28 398 23 590 29 452 6 660 22 660

Cuba division ----------------------- 4 846 20.4 285 9 669 12 834 10 516 14 779 5 556 9 763

Cuba village---------------------- 760 41.8 621 13 142 17 914 13 609 20 339 5 886 12 299

Jemez division ---------------------- 4 129 30.6 276 20 793 24 453 22 009 26 540 9 811 18 457

Jemez Pueblo CDP ----------------- 1 301 23.6 438 12 075 19 389 13 228 21 191 3 159 8 978

Jemez Springs village -------------- 413 36.8 737 20 789 27 193 22 736 34 387 3 512 23 065

San Ysidro village ----------------- 233 40.3 934 17 133 21 503 17 281 25 481 5 889 19 887

Zia Pueblo CDP ------------------- 637 46.8 297 17 033 21 896 15 971 20 870 4 661 22 670

Santo Domingo division --------------- 6 651 27.9 205 20 833 23 861 21 316 24 392 6 480 13 019

Cochiti CDP ---------------------- 434 43.3 546 13 519 23 300 17 867 25 505 5 014 11 969

Pena Blanca CDP ------------------ 300 29.3 770 13 957 24 087 16 386 29 251 2 170 11 762

San Felipe Pueblo CDP (pt.) ---------- 1 557 43.3 211 15 555 21 290 14 620 20 948 2 174 15 653

Santa Ana Pueblo CDP (pt.)---------- – ––––––– –

Santo Domingo Pueblo CDP ---------- 2 866 12.4 562 22 063 29 640 18 872 26 720 – 5 000

San Juan County ---------------------- 91 605 12.6 127 21 656 23 034 24 436 26 145 11 052 13 531

Aztec division ---------------------- 13 582 11.7 298 22 220 25 022 24 468 28 685 8 323 12 288

Aztec city ----------------------- 5 479 11.8 459 17 989 22 956 21 111 27 624 7 379 12 491

Farmington city (pt.) --------------- 202 7.4 1 737 6 769 23 833 11 727 24 981 5 577 9 423

Flora Vista CDP ------------------- 1 021 11.2 1 257 24 372 33 567 25 586 35 988 8 831 30 551

Bloomfield division------------------- 10 659 14.0 331 20 480 23 687 22 914 26 681 7 196 13 053

Bloomfield city (pt.) --------------- 5 138 14.8 380 20 080 24 661 22 913 27 922 6 839 12 616

Burnham division -------------------- 4 011 14.0 367 11 757 15 666 12 532 17 702 2 733 7 971

Ojo Amarillo CDP------------------ 955 16.2 391 8 081 14 640 7 553 14 444 – 42 500

Farmington division ------------------ 41 933 13.3 211 27 410 29 782 31 435 33 531 16 146 18 916

Farmington city (pt.) --------------- 33 795 13.0 254 27 702 30 310 31 939 34 446 16 480 19 803

Kirtland CDP --------------------- 3 552 15.3 407 26 603 31 301 27 233 33 166 8 085 28 203

Naschitti division -------------------- 2 097 9.3 429 5 214 12 845 6 174 13 782 2 212 15 077

Naschitti CDP--------------------- 323 9.0 1 133 4 445 36 512 4 445 36 512 – –

Shiprock-Sanostee division ------------- 14 794 11.4 190 7 545 9 809 8 597 11 457 3 404 4 767

Newcomb CDP -------------------- 388 13.9 933 5 589 16 793 5 132 15 281 – 27 500

Sanostee CDP -------------------- 626 13.9 726 4 312 11 433 4 532 11 926 – 5 000

Shiprock CDP--------------------- 7 687 10.3 305 9 792 15 944 10 927 16 712 4 482 9 992

Simpson-Chaco division --------------- 4 529 10.7 311 9 076 14 907 11 380 18 087 2 516 5 175

Bloomfield city (pt.) --------------- 76 ––––––– – Farmington city (pt.) --------------- – ––––––– –

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 71
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Table 19. Percent in Sample, Standard Error, and Confidence Bounds for Population Characteristics: 1990mCon.

[For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Persons Median income in 1989 (dollars)

Household

90-percent confidence bounds

Family

90-percent confidence bounds

Nonfamily household

90-percent confidence bounds

100-percent count Percent in sample

Per capita income

in 1989 (dollars)

mStandard error Lower Upper Lower Upper Lower Upper

San Miguel County -------------------- 25 743 13.8 230 16 964 18 757 18 837 21 071 8 687 11 446

Conchas Dam division ---------------- 298 25.5 1 079 11 502 21 196 12 298 22 702 2 867 21 508

Mosquero village (pt.)-------------- – ––––––– – Las Vegas division ------------------- 20 071 12.9 252 17 192 19 307 19 068 21 975 8 815 11 876

Las Vegas city-------------------- 14 753 13.0 228 16 584 19 105 18 837 22 086 8 335 11 781

Pecos division ---------------------- 3 452 18.8 696 18 868 23 814 19 537 24 521 14 103 23 990

Pecos village --------------------- 1 012 21.4 673 16 788 22 187 16 835 22 951 14 199 25 503

Trementina division ------------------ 238 13.4 760 6 226 11 793 6 359 12 324 2 745 10 442

Villanueva division ------------------- 1 684 12.9 1 006 10 356 15 096 12 528 17 870 3 215 7 644

Santa Fe County ---------------------- 98 928 15.1 176 28 808 29 997 33 204 34 943 20 144 21 502

Santa Fe division -------------------- 61 951 12.8 257 28 941 30 454 34 350 36 736 20 481 22 105

Agua Fria CDP -------------------- 3 717 9.0 574 21 424 26 328 21 663 27 697 18 044 21 645

Santa Fe city (pt.)----------------- 55 541 13.0 270 29 177 30 749 35 299 37 649 20 453 22 275

Tesuque CDP (pt.) ----------------- 12 ––––––– –

Santa Fe North division --------------- 15 010 29.2 280 23 709 25 148 26 062 28 256 14 451 16 333

Chimayo CDP (pt.)----------------- 639 13.1 2 255 6 614 26 131 10 800 33 460 2 110 7 113

Cuyamungue CDP------------------ 329 51.4 622 25 709 31 439 28 476 36 768 4 838 25 178

Espanola city (pt.)----------------- 2 179 39.7 396 19 337 22 305 22 467 24 554 6 613 9 930

Jaconita CDP --------------------- 375 20.8 1 223 27 756 34 023 24 909 35 274 13 079 34 861

Nambe CDP ---------------------- 1 246 43.5 611 22 329 29 061 29 566 36 813 8 862 16 820

Pojoaque CDP -------------------- 1 037 39.4 570 21 960 24 879 22 572 30 419 17 836 22 017

San Ildefonso Pueblo CDP ----------- 447 34.5 825 18 222 26 454 19 473 26 908 6 720 14 910

Santa Cruz CDP------------------- 2 504 12.9 597 18 293 26 517 18 583 27 185 12 661 16 894

Santa Fe city (pt.)----------------- 54 9.3 25 531 40 407 286 266 – 300 001 – 42 500

Tesuque CDP (pt.) ----------------- 1 478 23.0 1 637 25 306 31 592 35 647 50 309 14 424 22 584

Santa Fe South division --------------- 21 967 12.2 371 31 322 34 596 33 374 36 684 20 003 25 253

Edgewood CDP (pt.) --------------- 2 880 13.6 716 26 004 35 377 28 241 36 844 12 892 21 433

Eldorado at Santa Fe CDP ----------- 2 260 10.1 1 441 43 128 49 749 43 147 49 711 33 373 52 066

La Cienega CDP ------------------- 1 066 9.8 1 000 19 740 31 544 19 679 31 590 11 439 45 014

Santa Fe city (pt.)----------------- 264 16.3 4 977 3 813 44 861 2 749 186 634 – 45 000

Sierra County ------------------------ 9 912 16.7 363 14 661 16 705 18 959 21 425 7 061 8 737

Truth or Consequences East division ------ 7 970 17.2 349 14 105 16 144 18 517 21 478 6 701 8 263

Truth or Consequences city ---------- 6 221 15.3 391 13 181 14 999 17 090 20 778 6 390 8 013

Williamsburg village ---------------- 456 34.6 664 11 714 16 754 14 268 20 941 8 052 12 265

Truth or Consequences West division ----- 1 942 14.6 1 216 15 899 20 665 18 222 22 725 7 981 15 469

Socorro County ----------------------- 14 764 19.3 271 17 605 20 542 21 973 25 350 8 804 11 219

Claunch division --------------------- 122 13.1 2 983 11 697 34 610 13 449 44 051 10 623 63 260

Magdalena division ------------------ 2 804 42.1 315 14 361 17 089 16 237 19 722 6 763 11 259

Magdalena village ----------------- 861 39.6 505 15 422 19 001 18 010 24 853 5 621 9 980

Socorro city (pt.)------------------ – ––––––– – Rio Grande division ------------------ 11 838 14.0 377 17 997 21 700 22 788 26 805 8 223 11 477

Socorro city (pt.)------------------ 8 159 14.0 489 17 997 22 990 24 031 29 851 9 038 12 616

Taos County ------------------------- 23 118 28.9 166 16 454 17 478 19 295 20 606 8 563 10 372

Arroyo Hondo division ---------------- 2 679 30.0 609 19 283 21 806 20 132 22 590 11 122 15 749

Questa village (pt.) ---------------- 8 ––––––– –

Penasco division--------------------- 1 257 11.8 778 12 168 20 442 14 100 23 855 2 745 9 375

Picuris division ---------------------- 1 882 41.0 324 11 301 13 992 12 119 16 346 4 385 8 160

Chamisal CDP -------------------- 272 26.5 757 6 281 11 579 7 515 14 437 2 188 7 301

Penasco CDP --------------------- 648 48.3 386 11 444 16 549 13 527 19 277 4 490 10 481

Vadito CDP ---------------------- 283 45.2 1 437 11 989 20 189 12 151 20 976 3 164 17 364

Questa division --------------------- 3 376 28.9 290 15 997 18 025 18 457 21 020 6 806 10 173

Questa village (pt.) ---------------- 1 699 37.1 248 15 650 17 448 16 487 18 951 6 448 10 738

Red River town ------------------- 387 23.8 1 576 22 741 45 586 26 278 46 074 8 606 54 799

Taos division ----------------------- 11 265 26.3 278 16 934 19 209 20 653 22 484 10 089 12 169

Ranchos De Taos CDP -------------- 1 779 13.2 1 065 12 266 22 341 12 783 25 421 4 831 12 177

Taos town (pt.)------------------- 4 009 33.2 357 15 449 18 159 19 324 22 452 10 638 13 170

Taos Pueblo division------------------ 2 206 44.4 336 13 623 15 408 14 936 16 745 5 255 7 133

Taos town (pt.)------------------- 56 30.4 1 130 5 575 16 728 5 297 18 094 3 906 28 047

Taos Pueblo CDP ------------------ 1 187 46.4 260 10 689 13 199 12 096 14 235 3 635 5 395

Tres Piedras division ----------------- 453 7.3 1 337 5 767 18 743 12 237 29 988 1 934 12 505

Torrance County ---------------------- 10 285 33.6 200 18 905 20 444 21 867 23 876 9 885 11 771

Encino division ---------------------- 536 18.1 672 9 465 14 669 12 973 18 570 2 826 6 854

Encino village--------------------- 131 41.2 885 12 780 17 403 14 774 28 862 4 976 11 687

Estancia division -------------------- 8 031 32.2 249 20 949 23 007 23 845 26 894 11 660 14 115

Edgewood CDP (pt.) --------------- 444 38.1 483 25 697 30 868 27 803 32 237 11 782 23 581

Estancia town -------------------- 792 40.5 508 13 118 18 135 15 549 20 883 5 381 10 157

Moriarty city --------------------- 1 399 47.9 331 17 092 20 439 20 839 24 636 8 040 11 550

Mountainair division------------------ 1 718 44.8 237 13 543 15 358 15 662 18 635 6 232 8 458

Mountainair town ----------------- 926 44.8 287 11 938 14 434 13 920 17 788 6 289 9 190

Willard village -------------------- 183 52.5 635 13 149 20 329 15 910 22 434 3 904 11 462

Union County------------------------- 4 124 18.0 519 16 474 20 038 20 377 27 190 8 324 12 563

Clayton North division ---------------- 860 31.6 576 18 433 24 960 23 225 30 986 6 299 11 679

Clayton town (pt.)----------------- – ––––––– –

Des Moines village----------------- 168 23.8 1 148 7 850 24 586 15 460 33 448 5 305 33 553

Folsom village -------------------- 71 52.1 1 359 10 524 19 286 10 627 41 624 3 282 17 539

Grenville village ------------------- 24 12.5 3 903 5 106 32 359 – 32 500 – 10 000

Clayton South division ---------------- 3 264 14.4 705 15 366 19 698 18 826 27 326 8 089 13 887

Clayton town (pt.)----------------- 2 484 15.0 768 14 304 18 251 17 794 23 371 6 849 12 369

Valencia County----------------------- 45 235 15.1 171 23 413 25 187 26 487 28 283 11 178 13 113

Belen division ---------------------- 14 860 15.5 260 19 954 21 765 22 686 25 420 9 366 12 413

Belen city ----------------------- 6 547 16.0 394 17 267 20 362 20 156 23 300 9 592 12 462

Los Chaves CDP (pt.)--------------- 44 9.1 3 198 – 35 000 – 15 000 – 35 000

Los Trujillos-Gabaldon CDP (pt.) ------- 1 841 16.0 535 16 198 22 216 20 619 24 959 5 217 12 636

Rio Communities CDP--------------- 3 233 15.9 672 21 586 27 341 26 338 31 765 8 715 17 098

Los Lunas division ------------------- 30 375 14.8 219 25 631 27 729 28 262 30 517 11 596 14 744

Bosque Farms village --------------- 3 791 15.1 641 31 753 36 435 32 592 37 468 11 275 25 811

Isleta Pueblo CDP (pt.) ------------- 348 37.6 811 18 145 32 329 30 710 40 123 3 380 8 470

Los Chaves CDP (pt.)--------------- 3 828 10.5 931 24 276 31 694 27 047 33 778 7 998 14 731

Los Lunas village ------------------ 6 013 13.2 561 17 848 22 098 18 004 23 408 12 560 19 864

Los Trujillos-Gabaldon CDP (pt.) ------- – ––––––– –

Meadow Lake CDP----------------- 1 590 14.4 506 21 891 31 082 25 422 32 001 6 744 17 021

Peralta CDP ---------------------- 3 182 13.9 812 28 021 34 457 30 575 36 630 10 255 24 235

Tome-Adelino CDP ----------------- 1 695 15.6 966 18 977 28 503 22 013 31 385 4 504 11 529

Valencia CDP --------------------- 3 917 15.6 542 27 045 32 855 30 338 36 918 5 017 11 447

72 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
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Table 20. Percent in Sample, Standard Error, and Confidence Bounds for Population Characteristics: 1990

[For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Persons Median income in 1989 (dollars)

Household

90-percent confidence bounds

Family

90-percent confidence bounds

Nonfamily household

90-percent confidence bounds

100-percent count Percent in sample

Per capita income in 1989 (dollars)

mStandard error Lower Upper Lower Upper Lower Upper

The State ------------------- 1 515 069 15.7 33 23 940 24 233 27 446 27 810 14 745 15 135

COUNTY Bernalillo County ---------------------- 480 577 13.5 72 27 128 27 663 32 307 33 030 17 066 17 723

Catron County ------------------------ 2 563 14.6 476 16 041 20 649 19 525 25 142 5 874 9 264

Chaves County------------------------ 57 849 14.7 180 21 165 22 363 24 225 25 741 11 388 13 248

Cibola County ------------------------ 23 794 24.9 125 16 251 17 445 17 795 19 636 8 226 10 356

Colfax County ------------------------ 12 925 22.0 233 19 922 21 661 22 847 25 177 10 346 12 485

Curry County ------------------------- 42 207 15.6 160 20 695 21 911 23 181 25 072 11 884 13 879

DeBaca County ----------------------- 2 252 46.1 345 14 410 17 009 18 564 20 718 7 717 10 222

Dona Ana County --------------------- 135 510 15.6 94 21 419 22 298 24 145 25 261 12 487 13 742

Eddy County ------------------------- 48 605 13.8 183 22 532 24 303 26 488 28 302 9 838 11 822 Grant County------------------------- 27 676 17.8 184 20 498 22 201 23 411 25 349 12 196 14 142

Guadalupe County --------------------- 4 156 33.6 238 12 420 14 280 14 517 16 451 6 004 7 742

Harding County ----------------------- 987 46.5 478 18 159 19 880 21 015 24 405 8 099 11 779

Hidalgo County ----------------------- 5 958 13.8 467 20 395 26 595 23 139 30 546 10 386 14 794

Lea County -------------------------- 55 765 15.0 154 22 551 24 154 25 700 27 543 10 562 12 316

Lincoln County ------------------------ 12 219 25.4 251 18 291 20 478 22 380 25 422 9 473 11 109

Los Alamos County -------------------- 18 115 13.9 413 52 793 56 431 58 933 62 614 30 060 35 764

Luna County ------------------------- 18 110 15.6 210 14 975 16 392 16 611 18 657 8 293 10 684

McKinley County ---------------------- 60 686 11.4 142 16 670 18 223 17 046 18 663 8 937 12 325

Mora County ------------------------- 4 264 16.7 468 11 642 15 421 16 039 19 167 5 272 8 595

Otero County------------------------- 51 928 15.8 140 22 140 23 319 24 684 26 100 14 791 16 441

Quay County ------------------------- 10 823 17.1 290 17 395 20 026 21 169 23 684 8 412 10 914

Rio Arriba County --------------------- 34 365 26.1 103 17 810 18 936 20 466 21 822 8 833 10 556

Roosevelt County---------------------- 16 702 15.9 271 17 771 19 627 21 202 23 907 9 699 12 714

Sandoval County ---------------------- 63 319 21.8 109 28 382 29 518 30 675 31 577 16 737 18 734

San Juan County ---------------------- 91 605 12.6 127 21 656 23 034 24 436 26 145 11 052 13 531

San Miguel County -------------------- 25 743 13.8 230 16 964 18 757 18 837 21 071 8 687 11 446

Santa Fe County ---------------------- 98 928 15.1 176 28 808 29 997 33 204 34 943 20 144 21 502

Sierra County ------------------------ 9 912 16.7 363 14 661 16 705 18 959 21 425 7 061 8 737

Socorro County ----------------------- 14 764 19.3 271 17 605 20 542 21 973 25 350 8 804 11 219

Taos County ------------------------- 23 118 28.9 166 16 454 17 478 19 295 20 606 8 563 10 372

Torrance County ---------------------- 10 285 33.6 200 18 905 20 444 21 867 23 876 9 885 11 771

Union County------------------------- 4 124 18.0 519 16 474 20 038 20 377 27 190 8 324 12 563

Valencia County----------------------- 45 235 15.1 171 23 413 25 187 26 487 28 283 11 178 13 113

PLACE AND COUNTY SUBDIVISION Acomita Lake CDP, Cibola County--------- 273 48.4 427 12 540 21 835 13 083 22 000 2 369 11 316

Agua Fria CDP, Santa Fe County --------- 3 717 9.0 574 21 424 26 328 21 663 27 697 18 044 21 645

Alamogordo city, Otero County ---------- 27 596 13.7 219 23 514 25 495 26 834 29 061 15 553 17 821

Albuquerque city, Bernalillo County-------- 384 736 13.2 82 27 263 27 896 33 324 34 167 17 217 17 923

Alcalde CDP, Rio Arriba County ---------- 308 45.1 459 9 930 18 803 15 179 21 714 3 270 8 800

Angel Fire village, Colfax County --------- 93 30.1 1 386 11 131 28 981 6 377 27 773 – 55 000

Anthony CDP, Dona Ana County---------- 5 160 15.3 208 12 070 14 469 12 605 15 420 4 188 9 707

Artesia city, Eddy County--------------- 10 610 11.0 418 21 070 24 480 25 376 30 620 6 714 9 918

Aztec city, San Juan County ------------ 5 479 11.8 459 17 989 22 956 21 111 27 624 7 379 12 491

Bayard city, Grant County -------------- 2 598 13.1 413 14 082 20 037 15 020 22 799 6 212 13 987

Belen city, Valencia County ------------- 6 547 16.0 394 17 267 20 362 20 156 23 300 9 592 12 462

Bernalillo town, Sandoval County --------- 5 960 33.9 182 18 037 20 812 18 994 21 776 9 168 11 646

Black Rock CDP, McKinley County--------- 858 16.8 682 8 288 18 711 6 612 15 102 15 076 20 353

Bloomfield city, San Juan County --------- 5 214 14.5 378 20 080 24 661 22 913 27 922 6 839 12 616

Boles Acres CDP, Otero County ---------- 1 409 14.0 802 22 538 30 410 26 262 33 513 5 718 16 567

Bosque Farms village, Valencia County ----- 3 791 15.1 641 31 753 36 435 32 592 37 468 11 275 25 811

Cannon AFB CDP, Curry County ---------- 3 312 15.8 364 18 744 21 728 18 744 21 728 – –

Capitan village, Lincoln County ----------- 842 36.1 613 15 711 20 043 18 967 27 183 9 665 13 755

Carlsbad city, Eddy County-------------- 24 952 13.6 253 21 670 23 829 25 490 27 543 10 800 13 185

Carlsbad North CDP, Eddy County--------- 1 167 17.2 1 252 35 893 47 691 38 822 53 889 20 827 32 624

Carrizozo town, Lincoln County ---------- 1 075 37.9 636 13 960 19 082 20 768 24 716 6 479 9 478

Causey village, Roosevelt County --------- 57 43.9 1 298 20 922 38 222 20 519 38 726 – 27 500

Central village, Grant County ------------ 1 835 47.9 281 14 795 16 377 16 394 18 358 7 240 10 294

Chama village, Rio Arriba County --------- 1 048 33.1 476 12 806 16 570 13 338 17 425 4 614 14 758

Chamisal CDP, Taos County ------------- 272 26.5 757 6 281 11 579 7 515 14 437 2 188 7 301

Chaparral CDP, Dona Ana County--------- 2 962 13.5 438 17 633 23 923 17 894 24 403 10 442 24 226

Chimayo CDP------------------------- 2 789 13.4 724 16 789 24 213 22 634 27 396 5 727 11 937

Rio Arriba County ------------------- 2 150 13.4 661 17 784 24 938 22 259 29 161 8 825 15 454

Santa Fe County -------------------- 639 13.1 2 255 6 614 26 131 10 800 33 460 2 110 7 113

Cimarron village, Colfax County ---------- 774 50.5 324 16 072 19 284 17 808 21 189 7 018 13 224

Clayton town, Union County------------- 2 484 15.0 768 14 304 18 251 17 794 23 371 6 849 12 369

Cloudcroft village, Otero County---------- 636 28.6 896 20 807 26 978 23 281 31 783 11 843 20 647

Clovis city, Curry County --------------- 30 954 13.9 198 20 444 21 999 23 315 25 832 12 266 14 719

Cochiti CDP, Sandoval County------------ 434 43.3 546 13 519 23 300 17 867 25 505 5 014 11 969

Columbus village, Luna County ----------- 641 43.7 854 8 989 12 935 10 506 14 458 6 184 9 372

Corona village, Lincoln County ----------- 215 35.8 912 12 690 25 707 14 361 32 194 6 177 25 048

Corrales village ----------------------- 5 453 22.5 697 36 306 41 747 41 085 46 224 21 109 28 089

Bernalillo County -------------------- 535 15.7 4 275 36 638 68 757 44 969 78 300 12 082 57 208

Sandoval County -------------------- 4 918 23.2 647 35 439 40 418 39 810 45 069 20 006 27 589

Crownpoint CDP, McKinley County -------- 2 108 8.8 764 19 730 30 469 16 071 30 030 2 617 26 635

Cuba village, Sandoval County ----------- 760 41.8 621 13 142 17 914 13 609 20 339 5 886 12 299

Cuyamungue CDP, Santa Fe County ------- 329 51.4 622 25 709 31 439 28 476 36 768 4 838 25 178

Deming city, Luna County--------------- 10 970 14.1 278 14 623 16 489 15 981 18 671 8 413 11 704

Des Moines village, Union County--------- 168 23.8 1 148 7 850 24 586 15 460 33 448 5 305 33 553

Dexter town, Chaves County ------------ 898 47.7 414 17 349 22 383 18 620 23 896 7 911 13 641

Dona Ana CDP, Dona Ana County -------- 1 202 9.5 426 12 929 18 823 14 188 19 477 5 514 16 642

Dora village, Roosevelt County ----------- 167 47.9 894 18 218 29 456 19 197 35 758 2 729 41 136

Dulce CDP, Rio Arriba County------------ 2 438 40.8 203 18 988 21 643 18 703 21 786 9 790 14 666

Eagle Nest village, Colfax County --------- 189 15.3 2 025 20 526 27 698 23 601 31 537 5 762 22 249

Edgewood CDP ----------------------- 3 324 16.9 561 26 743 33 295 29 116 35 664 13 211 20 992

Santa Fe County -------------------- 2 880 13.6 716 26 004 35 377 28 241 36 844 12 892 21 433

Torrance County -------------------- 444 38.1 483 25 697 30 868 27 803 32 237 11 782 23 581

Eldorado at Santa Fe CDP, Santa Fe County - 2 260 10.1 1 441 43 128 49 749 43 147 49 711 33 373 52 066

Elida town, Roosevelt County ------------ 201 31.3 1 202 10 589 19 972 11 025 23 462 7 373 19 818

Encino village, Torrance County----------- 131 41.2 885 12 780 17 403 14 774 28 862 4 976 11 687

Espanola city ------------------------- 8 389 35.2 193 18 810 20 817 22 415 24 618 8 516 10 810

Rio Arriba County ------------------- 6 210 33.6 219 18 054 20 645 21 827 25 315 8 937 11 286

Santa Fe County -------------------- 2 179 39.7 396 19 337 22 305 22 467 24 554 6 613 9 930

Estancia town, Torrance County ---------- 792 40.5 508 13 118 18 135 15 549 20 883 5 381 10 157

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 73
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 74

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Table 20. Percent in Sample, Standard Error, and Confidence Bounds for Population Characteristics: 1990mCon.

[For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Persons Median income in 1989 (dollars)

Household

90-percent confidence bounds

Family

90-percent confidence bounds

Nonfamily household

90-percent confidence bounds

100-percent count Percent in sample

Per capita income in 1989 (dollars)

mStandard error Lower Upper Lower Upper Lower Upper

PLACE AND COUNTY SUBDIVISIONm Con. Eunice city, Lea County ---------------- 2 676 14.8 564 21 150 27 222 24 341 32 434 6 861 14 836

Farmington city, San Juan County -------- 33 997 12.9 253 27 568 30 206 31 881 34 380 16 340 19 600

Flora Vista CDP, San Juan County -------- 1 021 11.2 1 257 24 372 33 567 25 586 35 988 8 831 30 551

Floyd village, Roosevelt County ---------- 117 53.0 1 333 15 718 21 535 19 941 35 088 2 033 12 459

Folsom village, Union County ------------ 71 52.1 1 359 10 524 19 286 10 627 41 624 3 282 17 539

Fort Sumner village, DeBaca County ------- 1 269 46.0 393 11 807 13 987 16 055 19 069 6 701 9 380

Gallup city, McKinley County ------------ 19 154 11.9 289 24 844 28 455 27 255 31 168 14 604 18 481

Grady village, Curry County ------------- 110 33.6 1 316 24 167 44 166 24 167 44 166 – –

Grants city, Cibola County -------------- 8 626 15.2 302 16 887 20 214 19 168 23 002 9 382 11 895

Grenville village, Union County ----------- 24 12.5 3 903 5 106 32 359 – 32 500 – 10 000

Hagerman town, Chaves County---------- 961 40.8 403 12 586 14 681 13 651 17 804 4 978 10 273

Hatch village, Dona Ana County ---------- 1 136 34.2 472 11 538 14 124 13 222 17 369 6 667 10 818

Hobbs city, Lea County ---------------- 29 115 12.9 258 21 655 24 078 24 405 27 156 10 570 13 842

Holloman AFB CDP, Otero County--------- 5 891 11.9 238 19 070 22 245 19 177 22 411 – 12 500

Hope village, Eddy County -------------- 101 35.6 1 141 11 739 20 634 15 249 21 335 3 025 13 992

House village, Quay County ------------- 85 44.7 1 220 7 742 18 363 16 800 21 750 4 706 8 346

Hurley town, Grant County-------------- 1 534 38.7 287 19 180 21 819 20 913 23 830 7 847 11 409

Isleta Pueblo CDP---------------------- 1 703 42.7 281 16 351 20 739 21 081 25 236 4 611 6 792

Bernalillo County -------------------- 1 355 44.0 286 15 132 19 539 18 287 22 642 4 579 7 199

Valencia County--------------------- 348 37.6 811 18 145 32 329 30 710 40 123 3 380 8 470

Jaconita CDP, Santa Fe County----------- 375 20.8 1 223 27 756 34 023 24 909 35 274 13 079 34 861

Jal city, Lea County ------------------- 2 156 40.6 317 20 601 23 584 23 970 28 083 10 230 13 871

Jemez Pueblo CDP, Sandoval County ------ 1 301 23.6 438 12 075 19 389 13 228 21 191 3 159 8 978

Jemez Springs village, Sandoval County ---- 413 36.8 737 20 789 27 193 22 736 34 387 3 512 23 065

Kirtland CDP, San Juan County----------- 3 552 15.3 407 26 603 31 301 27 233 33 166 8 085 28 203

La Cienega CDP, Santa Fe County--------- 1 066 9.8 1 000 19 740 31 544 19 679 31 590 11 439 45 014

Laguna CDP, Cibola County ------------- 434 16.1 933 15 844 28 022 12 376 29 339 11 109 28 543

Lake Arthur town, Chaves County -------- 336 40.8 474 11 779 19 807 17 711 21 650 4 096 8 335

La Luz CDP, Otero County -------------- 1 625 16.5 966 20 849 26 061 23 326 31 155 8 817 19 666

Las Cruces city, Dona Ana County -------- 62 126 15.0 157 22 921 24 376 28 208 30 082 12 479 14 054

Las Vegas city, San Miguel County ------- 14 753 13.0 228 16 584 19 105 18 837 22 086 8 335 11 781

Logan village, Quay County ------------- 870 46.0 494 14 736 17 449 16 715 22 192 6 357 10 432

Lordsburg city, Hidalgo County----------- 2 951 13.2 429 14 071 18 240 15 976 20 529 7 688 14 100

Los Alamos CDP, Los Alamos County ------ 11 455 14.9 518 45 580 51 002 54 164 60 221 28 624 34 847

Los Chaves CDP, Valencia County--------- 3 872 10.5 923 24 200 31 685 26 702 33 668 8 438 17 890

Los Lunas village, Valencia County -------- 6 013 13.2 561 17 848 22 098 18 004 23 408 12 560 19 864

Los Ranchos de Albuquerque village, Bernalillo County ------------------------- 3 955 12.1 1 542 30 328 42 235 37 943 55 309 11 497 19 966

Los Trujillos-Gabaldon CDP, Valencia County - 1 841 16.0 535 16 198 22 216 20 619 24 959 5 217 12 636

Loving village, Eddy County ------------- 1 243 42.5 394 14 364 17 607 16 476 21 349 4 960 8 189

Lovington city, Lea County -------------- 9 322 13.3 313 20 004 22 910 21 942 25 616 9 253 14 110

Magdalena village, Socorro County-------- 861 39.6 505 15 422 19 001 18 010 24 853 5 621 9 980

Maxwell village, Colfax County ---------- 247 51.0 536 10 765 15 264 14 761 21 378 2 774 5 445

Meadow Lake CDP, Valencia County------- 1 590 14.4 506 21 891 31 082 25 422 32 001 6 744 17 021

Melrose village, Curry County------------ 662 39.3 535 13 839 18 892 19 755 23 830 5 974 9 252

Mescalero CDP, Otero County------------ 1 159 43.4 347 14 120 18 152 13 347 17 159 3 154 8 636

Mesilla town, Dona Ana County ---------- 1 975 37.8 685 22 620 28 273 29 061 37 226 10 065 13 890

Mesita CDP, Cibola County-------------- 627 26.2 591 12 138 17 426 11 830 20 030 10 487 18 864

Mexican Springs CDP, McKinley County ---- 242 11.2 651 3 960 30 520 2 362 31 319 – 17 500

Milan village, Cibola County ------------- 1 911 41.4 249 15 077 16 864 16 219 18 763 8 400 11 547

Moriarty city, Torrance County----------- 1 399 47.9 331 17 092 20 439 20 839 24 636 8 040 11 550

Mosquero village ---------------------- 164 45.7 1 131 13 694 23 568 21 033 30 587 6 995 13 641

Harding County --------------------- 164 45.7 1 131 13 694 23 568 21 033 30 587 6 995 13 641

San Miguel County ------------------ – ––––––– –

Mountainair town, Torrance County ------- 926 44.8 287 11 938 14 434 13 920 17 788 6 289 9 190

Nambe CDP, Santa Fe County ----------- 1 246 43.5 611 22 329 29 061 29 566 36 813 8 862 16 820

Naschitti CDP, San Juan County ---------- 323 9.0 1 133 4 445 36 512 4 445 36 512 – – Navajo CDP, McKinley County ----------- 1 985 3.1 951 16 246 28 029 10 842 26 743 25 342 29 868

Newcomb CDP, San Juan County --------- 388 13.9 933 5 589 16 793 5 132 15 281 – 27 500

North Acomita Village CDP, Cibola County -- 314 34.7 662 8 377 20 306 13 108 22 027 2 458 7 124

North Valley CDP, Bernalillo County ------- 12 507 13.5 391 22 409 25 851 25 733 29 153 12 403 15 777

Ojo Amarillo CDP, San Juan County ------- 955 16.2 391 8 081 14 640 7 553 14 444 – 42 500

Paguate CDP, Cibola County ------------- 492 12.8 686 4 462 14 119 6 371 14 610 812 21 284

Paradise Hills CDP, Bernalillo County------- 5 513 11.6 500 37 388 42 421 40 178 45 881 16 782 26 521

Paraje CDP, Cibola County -------------- 622 21.4 524 18 069 26 011 17 921 26 926 5 514 28 015

Pecos village, San Miguel County --------- 1 012 21.4 673 16 788 22 187 16 835 22 951 14 199 25 503

Pena Blanca CDP, Sandoval County-------- 300 29.3 770 13 957 24 087 16 386 29 251 2 170 11 762

Penasco CDP, Taos County -------------- 648 48.3 386 11 444 16 549 13 527 19 277 4 490 10 481

Peralta CDP, Valencia County ------------ 3 182 13.9 812 28 021 34 457 30 575 36 630 10 255 24 235

Placitas CDP, Sandoval County ----------- 1 611 17.6 1 340 39 050 51 527 46 730 57 201 9 571 31 839

Pojoaque CDP, Santa Fe County ---------- 1 037 39.4 570 21 960 24 879 22 572 30 419 17 836 22 017

Portales city, Roosevelt County----------- 10 690 10.9 391 14 617 17 758 17 895 22 122 8 700 13 178

Questa village, Taos County ------------- 1 707 37.0 248 15 650 17 448 16 487 18 951 6 448 10 738

Ranchos De Taos CDP, Taos County ------- 1 779 13.2 1 065 12 266 22 341 12 783 25 421 4 831 12 177

Raton city, Colfax County -------------- 7 372 13.9 401 18 428 21 876 22 221 25 905 9 278 12 516

Red River town, Taos County ------------ 387 23.8 1 576 22 741 45 586 26 278 46 074 8 606 54 799

Reserve village, Catron County ----------- 319 19.1 1 245 11 619 27 169 19 345 27 429 2 636 33 517

Rio Communities CDP, Valencia County----- 3 233 15.9 672 21 586 27 341 26 338 31 765 8 715 17 098

Rio Rancho city, Sandoval County--------- 32 505 16.4 153 30 945 32 078 32 691 34 247 18 851 22 096

Roswell city, Chaves County------------- 44 654 13.1 212 21 145 22 598 24 403 26 398 11 402 13 688

Roy village, Harding County ------------- 362 47.5 706 18 035 19 777 19 367 22 424 6 116 9 841

Ruidoso village, Lincoln County----------- 4 600 17.7 521 19 814 22 760 23 511 30 410 9 149 12 001

Ruidoso Downs village, Lincoln County ----- 920 44.9 266 14 608 17 518 17 677 20 096 6 221 8 863

Sandia CDP, Bernalillo County------------ 6 742 14.4 203 20 715 22 889 20 568 22 820 2 943 30 660

Sandia Heights CDP, Bernalillo County ----- 3 519 12.2 1 646 63 407 76 183 68 721 83 773 31 769 53 064

San Felipe Pueblo CDP, Sandoval County --- 1 557 43.3 211 15 555 21 290 14 620 20 948 2 174 15 653

San Ildefonso Pueblo CDP, Santa Fe County - 447 34.5 825 18 222 26 454 19 473 26 908 6 720 14 910

San Jon village, Quay County------------ 277 43.0 922 13 573 19 605 17 301 23 270 5 880 12 494

San Juan CDP, Rio Arriba County --------- 465 17.8 1 087 8 819 17 945 12 833 28 767 3 460 14 554

Sanostee CDP, San Juan County---------- 626 13.9 726 4 312 11 433 4 532 11 926 – 5 000

Santa Ana Pueblo CDP, Sandoval County --- 476 47.7 384 22 976 28 398 23 590 29 452 6 660 22 660

Santa Clara Pueblo CDP, Rio Arriba County-- 1 156 42.5 292 14 557 20 046 16 255 21 904 6 032 11 252

Santa Cruz CDP, Santa Fe County -------- 2 504 12.9 597 18 293 26 517 18 583 27 185 12 661 16 894

Santa Fe city, Santa Fe County ---------- 55 859 13.0 272 29 217 30 789 35 336 37 684 20 489 22 313

Santa Rosa city, Guadalupe County ------- 2 263 37.9 268 12 608 15 414 14 721 18 172 6 085 7 941

74 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
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Table 20. Percent in Sample, Standard Error, and Confidence Bounds for Population Characteristics: 1990mCon.

[For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Persons Median income in 1989 (dollars)

Household

90-percent confidence bounds

Family

90-percent confidence bounds

Nonfamily household

90-percent confidence bounds

100-percent count Percent in sample

Per capita income in 1989 (dollars)

mStandard error Lower Upper Lower Upper Lower Upper

PLACE AND COUNTY SUBDIVISIONm Con.

Santo Domingo Pueblo CDP, Sandoval County ---------------------------- 2 866 12.4 562 22 063 29 640 18 872 26 720 – 5 000

San Ysidro village, Sandoval County------- 233 40.3 934 17 133 21 503 17 281 25 481 5 889 19 887

Seama CDP, Cibola County-------------- 403 36.0 664 20 202 24 832 17 202 24 082 1 304 8 045

Shiprock CDP, San Juan County ---------- 7 687 10.3 305 9 792 15 944 10 927 16 712 4 482 9 992

Silver City town, Grant County----------- 10 683 13.3 344 18 147 20 994 21 162 25 056 10 395 14 814

Skyline-Ganipa CDP, Cibola County -------- 946 47.4 278 12 494 16 546 10 832 15 002 3 056 16 759

Socorro city, Socorro County ------------ 8 159 14.0 489 17 997 22 990 24 031 29 851 9 038 12 616

South Valley CDP, Bernalillo County ------- 35 701 14.3 156 20 193 21 704 21 834 23 831 9 226 12 040

Springer town, Colfax County------------ 1 262 42.9 446 14 543 17 659 18 286 21 395 6 618 9 035

Sunland Park city, Dona Ana County ------ 8 179 13.9 139 11 280 13 803 11 309 13 980 5 276 14 448

Taos town, Taos County --------------- 4 065 33.1 354 15 326 17 950 18 899 22 209 10 585 13 134

Taos Pueblo CDP, Taos County ----------- 1 187 46.4 260 10 689 13 199 12 096 14 235 3 635 5 395

Tatum town, Lea County --------------- 768 45.2 594 20 274 25 759 22 718 28 693 5 760 11 065

Tesuque CDP, Santa Fe County----------- 1 490 22.8 1 632 25 306 31 592 35 647 50 309 14 424 22 584

Texico city, Curry County --------------- 966 39.9 349 12 771 16 489 15 308 18 753 5 898 8 184

Tijeras village, Bernalillo County ---------- 340 28.8 1 068 26 113 35 833 29 683 40 531 7 279 28 780

Tohatchi CDP, McKinley County ---------- 661 7.0 3 030 19 644 46 226 18 986 47 403 3 123 141 078

Tome-Adelino CDP, Valencia County ------- 1 695 15.6 966 18 977 28 503 22 013 31 385 4 504 11 529

Truth or Consequences city, Sierra County -- 6 221 15.3 391 13 181 14 999 17 090 20 778 6 390 8 013

Tucumcari city, Quay County ------------ 6 831 11.0 441 15 225 19 101 18 988 23 411 7 519 11 058

Tularosa village, Otero County ----------- 2 615 15.8 627 13 222 17 195 14 437 20 117 6 479 12 112

University Park CDP, Dona Ana County----- 4 520 13.1 153 8 233 12 408 7 405 11 466 9 122 17 242

Vadito CDP, Taos County --------------- 283 45.2 1 437 11 989 20 189 12 151 20 976 3 164 17 364

Valencia CDP, Valencia County ----------- 3 917 15.6 542 27 045 32 855 30 338 36 918 5 017 11 447

Vaughn town, Guadalupe County --------- 633 39.7 453 8 961 14 180 13 445 22 074 4 651 6 914

Virden village, Hidalgo County ----------- 108 18.5 2 581 12 879 32 441 13 749 67 504 – 22 500

Wagon Mound village, Mora County ------ 319 47.3 869 9 109 22 607 18 814 24 145 2 473 5 306

White Rock CDP, Los Alamos County ------ 6 192 12.0 674 61 252 66 881 63 426 70 038 31 735 52 609

White Sands CDP, Dona Ana County ------ 2 616 15.8 330 22 788 26 843 23 268 27 009 12 501 29 285

Willard village, Torrance County ---------- 183 52.5 635 13 149 20 329 15 910 22 434 3 904 11 462

Williamsburg village, Sierra County-------- 456 34.6 664 11 714 16 754 14 268 20 941 8 052 12 265

Zia Pueblo CDP, Sandoval County--------- 637 46.8 297 17 033 21 896 15 971 20 870 4 661 22 670

Zuni Pueblo CDP, McKinley County -------- 5 857 14.7 217 15 811 19 771 15 331 18 766 13 264 27 860

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 75
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Table 21. Percent in Sample and Confidence Bounds for Housing Characteristics: 1990

[For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Housing units Median selected monthly owner costs (dollars)

With a mortgage

90-percent confidence

bounds

Not mortgaged

90-percent confidence

bounds

Median selected monthly owner costs as a percent- age of household income in 1989

With a mortgage

90-percent confidence

bounds

Not mortgaged

90-percent confidence

bounds

Median gross rent (dol- lars)

90-percent confidence

bounds

Median gross rent as a percentage of household income in 1989

90-percent confidence

bounds

100-percent

count

Percent in

sample Lower Upper Lower Upper Lower Upper Lower Upper Lower Upper Lower Upper

The State ------------------- 632 058 16.4 648 655 162 164 21.5 21.7 12.4 12.7 370 373 26.3 26.7

Bernalillo County ---------------------- 201 235 13.4 733 746 190 194 22.1 22.5 12.0 12.7 399 405 27.0 27.7

Albuquerque division ----------------- 195 069 13.2 730 744 192 196 22.0 22.5 12.0 12.7 399 405 27.1 27.7

Albuquerque city (pt.) -------------- 166 869 13.1 733 748 196 201 21.9 22.4 11.8 12.6 399 405 27.0 27.6

Corrales village (pt.) --------------- 227 16.3 679 1 248 176 295 9.9 21.2 4.6 15.4 – 2 001 – 100.0

Los Ranchos de Albuquerque village ---- 1 581 11.3 755 1 000 192 291 17.9 26.5 8.9 14.6 404 512 25.8 34.5

North Valley CDP------------------ 4 819 13.8 664 760 166 186 21.0 24.4 10.6 13.9 375 422 28.3 33.4

Paradise Hills CDP ----------------- 1 962 11.7 733 828 183 230 19.8 22.8 7.4 14.2 489 663 20.9 28.1

Sandia CDP ---------------------- 1 860 14.8 ––– 100 –––– 391 420 20.3 23.2

Sandia Heights CDP ---------------- 1 420 11.9 1 345 1 525 262 399 21.1 24.8 5.5 14.5 751 946 22.5 30.2

South Valley CDP------------------ 12 226 14.5 555 597 163 173 22.9 25.0 12.6 14.5 340 370 30.2 34.7

Bernalillo East division ---------------- 5 078 15.2 804 920 177 200 23.3 25.5 10.6 14.2 363 527 19.2 28.0

Tijeras village--------------------- 145 26.9 290 793 160 196 14.4 29.1 5.9 22.7 314 809 11.9 34.6

Bernalillo West division --------------- 306 42.8 538 613 58 76 13.9 22.3 10.8 14.5 152 236 14.3 22.0

Albuquerque city (pt.) -------------- 1 –––– – – – – – – –– –

Isleta Pueblo division ----------------- 782 47.2 239 320 102 113 12.4 19.8 11.9 14.0 143 214 9.2 20.1

Isleta Pueblo CDP (pt.) ------------- 519 46.2 74 236 87 104 4.9 15.1 11.6 14.1 134 212 8.1 21.2

Catron County ------------------------ 1 552 15.9 347 494 114 170 12.4 83.8 9.2 16.4 227 351 12.8 31.7

Quemado division ------------------- 534 9.4 – 500 29 278 – 100.0 4.8 70.9 220 485 4.3 27.0

Reserve division --------------------- 1 018 19.4 336 609 119 167 8.6 81.3 8.1 14.8 211 328 16.9 62.7

Reserve village-------------------- 160 18.1 – – 100 232 – – 3.1 16.9 179 439 17.2 84.0

Chaves County------------------------ 23 386 15.0 445 473 141 149 18.4 20.2 11.9 13.5 326 344 26.7 29.1

Dexter division --------------------- 807 32.2 352 414 124 148 16.2 25.3 10.6 17.4 142 279 13.9 21.8

Dexter town --------------------- 348 44.3 345 387 130 153 14.5 21.7 10.9 17.1 255 295 19.9 30.1

Hagerman division ------------------- 823 37.3 271 359 109 134 18.7 29.9 10.4 14.3 213 253 22.5 32.3

Hagerman town------------------- 390 41.0 317 421 106 137 20.7 31.5 9.4 13.8 194 239 24.7 48.0

Lake Arthur town ----------------- 137 42.3 167 298 92 138 11.9 34.7 11.5 19.3 49 276 4.8 28.4

Northeast Chaves division ------------- 54 18.5 –––– – – – – – –– – Northwest Chaves division ------------- 940 15.1 464 575 135 186 14.8 22.2 8.3 17.0 263 377 13.1 29.1

Roswell city (pt.)------------------ 7 14.3 – 600 –– – 20.0 – – – –– – Roswell division --------------------- 18 303 13.2 444 478 143 152 18.2 20.2 11.9 13.7 330 349 27.2 29.9

Roswell city (pt.)------------------ 17 429 13.1 440 474 143 152 18.2 20.3 11.9 13.7 329 350 27.3 30.0

Southeast Chaves division ------------- 559 12.9 507 623 31 264 10.0 39.5 .2 19.8 106 398 37.2 97.8

Southwest Chaves division ------------- 1 900 15.4 380 467 104 132 14.1 28.1 7.9 14.1 318 369 18.6 29.5

Roswell city (pt.)------------------ 806 15.0 397 478 106 144 16.4 32.8 3.4 23.1 358 387 17.4 36.4

Cibola County ------------------------ 9 692 24.7 362 399 132 142 16.9 19.7 12.1 13.8 235 256 19.4 23.3

Fence Lake division ------------------ 79 17.7 ––– 150 ––– 35.0 – 350 – 30.0

Grants division---------------------- 7 335 23.4 408 459 147 161 19.1 22.1 12.3 14.4 245 269 19.9 25.0

Acomita Lake CDP ----------------- 77 44.2 – – 47 92 – – 9.0 17.7 302 348 .8 19.2

Grants city ---------------------- 3 532 15.1 409 494 153 173 18.0 22.6 11.2 14.9 229 269 18.2 24.8

Milan village --------------------- 735 43.7 420 472 171 192 23.2 31.1 11.3 16.6 251 276 27.9 42.7

North Acomita Village CDP----------- 112 32.1 – – 109 166 – – 7.6 16.0 332 417 8.5 23.9

Skyline-Ganipa CDP ---------------- 218 45.9 112 158 66 112 12.1 17.1 8.3 14.2 154 289 – 100.0

Laguna division --------------------- 1 516 21.4 155 227 97 119 10.5 15.1 10.3 14.2 187 236 15.6 23.6

Laguna CDP---------------------- 170 15.3 53 264 59 128 3.6 38.6 5.9 15.1 158 291 1.8 24.2

Mesita CDP ---------------------- 178 25.8 85 194 44 91 6.7 15.5 7.0 15.5 115 180 6.9 52.0

Paguate CDP --------------------- 195 14.9 – 500 80 157 – 100.0 9.3 38.4 230 424 12.1 81.7

Paraje CDP ---------------------- 236 19.1 102 704 45 134 6.9 26.7 4.6 15.4 157 255 4.0 17.5

Seama CDP ---------------------- 143 37.1 145 334 97 179 8.0 16.8 8.8 17.3 150 317 7.5 35.2

Zuni-Ramah Navajo division ------------ 762 43.6 206 294 54 72 5.3 19.1 9.1 12.6 184 222 12.4 18.4

Colfax County ------------------------ 8 265 25.8 473 519 156 165 19.0 22.4 12.3 14.4 254 278 25.2 27.8

Cimarron division -------------------- 3 155 34.9 539 640 172 196 20.5 29.1 11.3 15.9 291 370 23.1 29.5

Angel Fire village ------------------ 616 47.6 –––– – – – – 143 465 32.5 62.4

Cimarron village------------------- 400 49.5 463 601 163 180 18.4 27.6 11.8 16.9 240 273 18.1 28.4

Eagle Nest village ----------------- 157 24.8 – 800 159 241 – 30.0 1.7 18.3 257 372 20.6 70.5

Raton division ---------------------- 4 025 14.8 443 518 149 164 16.6 22.0 11.0 14.3 238 281 24.5 28.9

Maxwell village (pt.) --------------- – –––– – – – – – – –– – Raton city ----------------------- 3 502 13.7 431 523 148 164 16.6 23.0 10.9 14.4 230 276 25.1 29.7

Springer division -------------------- 1 085 40.6 430 524 152 170 21.8 28.2 15.2 20.0 200 248 23.4 28.3

Maxwell village (pt.) --------------- 146 47.3 438 693 130 165 13.8 61.6 11.2 22.0 130 267 20.5 30.2

Springer town -------------------- 589 45.5 413 519 152 172 20.3 26.9 14.3 19.1 177 241 26.0 29.7

Curry County ------------------------- 16 906 15.5 493 531 155 167 20.0 21.7 11.8 13.7 341 356 24.7 26.4

Broadview division ------------------- 212 24.1 492 754 153 197 9.2 80.1 5.2 17.0 – 550 – 100.0

Grady village --------------------- 49 28.6 430 785 156 194 3.0 29.4 2.5 17.5 – –– –

Clovis division ---------------------- 16 131 14.8 493 532 155 167 19.9 21.8 11.6 13.6 341 357 24.6 26.4

Cannon AFB CDP ------------------ 759 15.4 –––– – – – – 365 383 20.9 23.6

Clovis city ----------------------- 12 978 13.5 485 526 154 167 19.5 21.6 11.4 13.6 320 342 25.7 28.0

Texico city----------------------- 380 42.9 358 434 128 147 23.6 30.4 13.0 20.5 257 308 26.6 45.0

Melrose division--------------------- 563 32.3 368 516 148 174 14.6 23.6 13.3 20.1 199 371 20.1 32.4

Melrose village ------------------- 354 41.5 372 488 143 167 15.0 24.9 13.4 19.1 192 323 22.0 31.1

DeBaca County ----------------------- 1 329 48.5 388 448 130 144 21.4 27.2 12.0 14.6 225 271 26.7 31.2

East De Baca division ---------------- 1 067 48.6 395 452 131 145 21.5 27.8 12.0 14.7 226 272 26.6 31.3

Fort Sumner village ---------------- 692 49.0 366 432 130 145 23.2 29.4 12.5 15.5 207 243 25.9 30.7

West De Baca division ---------------- 262 47.7 3 300 64 159 .2 25.0 8.2 17.7 – 150 – 30.0

Dona Ana County --------------------- 49 148 16.0 603 631 160 167 20.2 21.2 11.7 12.8 343 352 27.4 29.0

Anthony division -------------------- 5 292 14.4 341 408 132 154 21.1 24.8 9.9 13.2 271 309 22.7 29.6

Anthony CDP --------------------- 1 381 15.5 299 426 114 137 15.5 25.7 9.7 14.5 231 286 23.7 39.2

Chaparral CDP -------------------- 1 020 13.3 245 384 129 241 22.0 51.6 5.1 14.9 280 382 14.6 34.0

Dona Ana-Hill division ---------------- 5 664 12.0 689 750 154 179 18.6 21.9 9.9 14.8 318 377 28.6 47.6

Dona Ana CDP-------------------- 382 10.5 220 804 27 185 5.6 28.5 3.7 24.6 232 389 13.0 57.8

Las Cruces city (pt.) --------------- 1 213 12.7 709 777 146 182 18.2 23.6 6.9 15.4 381 510 20.0 40.3

Fairacres division -------------------- 1 349 30.8 680 823 163 203 18.9 22.6 9.4 13.4 366 417 23.9 40.9

Mesilla town (pt.) ----------------- 5 40.0 –––– – – – – – –– –

Hatch division ---------------------- 1 447 30.8 405 495 127 150 24.7 31.2 12.3 16.2 194 229 20.7 29.3

Hatch village --------------------- 498 35.5 367 483 130 155 22.5 31.8 11.8 17.6 237 287 28.4 49.4

Las Cruces division------------------- 29 924 16.1 597 628 171 180 18.7 20.3 11.4 12.8 349 360 28.1 29.7

Las Cruces city (pt.) --------------- 24 463 15.2 585 616 171 181 18.8 20.5 11.1 12.8 359 371 28.0 29.9

Mesilla town (pt.) ----------------- 782 39.1 600 717 146 177 13.4 17.4 10.7 14.1 310 351 23.4 29.6

University Park CDP ---------------- 647 14.4 –––– – – – – 314 324 25.6 34.5

South Dona Ana division -------------- 4 748 13.4 555 681 134 147 23.6 27.9 11.6 14.6 258 309 20.5 25.5

Sunland Park city------------------ 1 959 13.8 249 360 131 146 26.2 58.8 11.2 15.1 238 287 23.6 40.5

White Sands division ----------------- 724 16.3 – 200 205 297 – 20.0 .7 19.3 395 447 14.3 21.1

White Sands CDP------------------ 724 16.3 – 200 205 297 – 20.0 .7 19.3 395 447 14.3 21.1

76 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 77

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Table 21. Percent in Sample and Confidence Bounds for Housing Characteristics: 1990mCon.

[For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Housing units Median selected monthly owner costs (dollars)

With a mortgage

90-percent confidence

bounds

Not mortgaged

90-percent confidence

bounds

Median selected monthly owner costs as a percent- age of household income in 1989

With a mortgage

90-percent confidence

bounds

Not mortgaged

90-percent confidence

bounds

Median gross rent (dol- lars)

90-percent confidence

bounds

Median gross rent as a percentage of household income in 1989

90-percent confidence

bounds

100-percent

count

Percent in

sample Lower Upper Lower Upper Lower Upper Lower Upper Lower Upper Lower Upper

Eddy County ------------------------- 20 134 14.0 459 490 133 139 16.3 18.3 11.0 12.4 295 313 22.3 24.5

Artesia division --------------------- 6 067 11.9 416 469 129 141 15.4 19.6 10.4 13.3 251 293 21.3 24.1

Artesia city ---------------------- 4 510 11.3 401 458 127 141 14.8 19.4 10.1 13.3 251 297 21.6 24.7

Hope village --------------------- 55 40.0 – 500 137 233 – 20.0 8.3 38.1 – –– – Carlsbad division -------------------- 13 179 13.8 474 516 133 141 16.1 18.6 10.8 12.5 306 326 22.3 25.9

Carlsbad city --------------------- 10 575 13.7 450 493 131 139 15.7 18.4 10.7 12.5 307 329 22.5 26.5

Carlsbad North CDP ---------------- 470 15.7 710 1 016 167 206 13.6 23.7 7.5 16.4 – 400 – 100.0

Loco Hills division ------------------- 158 16.5 – 400 – 300 – 20.0 – 20.0 – –– – Loving division---------------------- 730 35.1 362 475 121 140 11.4 17.6 10.0 13.7 214 281 16.5 27.1

Loving village--------------------- 479 43.4 350 417 117 132 12.5 19.0 10.3 13.8 225 277 19.9 28.4

Grant County------------------------- 11 349 18.2 450 502 146 156 17.8 20.6 11.1 12.8 291 312 21.6 25.6

Bayard-Santa Rita division ------------- 1 483 16.0 360 474 139 160 14.8 24.1 10.6 14.9 180 236 20.5 31.7

Bayard city ---------------------- 1 028 14.6 350 476 137 162 14.4 24.3 9.5 14.6 158 272 19.2 37.6

Hurley town (pt.) ----------------- – –––– – – – – – – –– –

Central division --------------------- 1 170 40.5 497 585 144 161 15.6 23.8 10.8 13.9 201 243 17.7 22.6

Central village -------------------- 700 47.1 406 550 140 155 15.5 23.0 10.3 13.2 242 303 22.7 33.8

Hurley division ---------------------- 747 39.2 343 388 143 158 18.4 22.2 9.8 12.7 311 340 14.0 22.6

Hurley town (pt.) ----------------- 623 39.0 336 387 142 158 16.9 21.6 9.9 12.8 311 345 13.9 23.1

Mimbres division -------------------- 541 14.8 407 585 94 155 3.0 29.3 8.4 16.5 – 300 – 20.0

Pinos Altos division ------------------ 560 14.6 349 576 109 194 4.2 31.6 7.1 17.3 – 1 000 – 20.0

Silver City division ------------------- 6 019 13.5 466 549 144 165 17.4 21.2 10.1 13.0 303 334 23.7 29.1

Silver City town------------------- 4 255 13.7 389 472 142 163 16.5 21.1 10.0 13.3 288 322 25.0 29.8

Tyrone division --------------------- 829 10.1 76 493 117 183 3.1 19.3 5.1 20.3 285 334 9.5 18.9

Guadalupe County --------------------- 2 149 33.4 427 503 140 157 25.7 32.2 14.0 17.1 216 243 30.3 38.9

Dilia division ----------------------- 348 14.7 – – 85 144 – – 11.7 22.0 – 250 – 25.0

Santa Rosa division ------------------ 1 362 35.9 429 516 138 159 24.4 30.8 13.2 17.3 224 250 30.0 40.4

Santa Rosa city ------------------- 988 39.8 399 474 134 150 23.7 30.8 12.6 16.5 218 242 31.7 43.7

Vaughn division --------------------- 439 40.5 326 516 167 195 30.4 55.6 11.8 16.7 148 199 30.2 48.7

Vaughn town--------------------- 371 39.9 323 518 173 201 30.3 56.0 11.8 16.9 148 199 30.2 48.9

Harding County ----------------------- 614 47.9 325 384 138 158 7.6 18.5 12.1 16.3 194 257 11.4 52.0

North Harding division ---------------- 507 47.9 325 384 138 159 7.6 18.5 12.2 16.4 194 257 11.4 52.0

Mosquero village (pt.)-------------- 96 49.0 302 398 126 156 .5 97.0 12.0 20.2 – 100 – 20.0

Roy village ---------------------- 212 46.7 319 392 138 170 6.7 18.7 11.2 17.0 201 259 11.5 55.3

South Harding division ---------------- 107 47.7 ––– 150 ––– 20.0 – –– –

Hidalgo County ----------------------- 2 413 14.6 371 477 134 169 16.0 22.0 10.3 16.2 177 214 13.2 18.1

North Hidalgo division ---------------- 1 907 14.2 373 482 134 168 16.1 22.4 10.1 16.3 158 267 19.2 28.7

Lordsburg city -------------------- 1 204 14.0 360 466 130 168 16.6 23.0 10.2 17.4 135 260 25.3 39.5

Virden village--------------------- 48 18.8 – 300 – 100 – 20.0 – 20.0 250 300 .1 19.9

South Hidalgo division ---------------- 506 16.2 236 568 26 673 3.4 23.4 2.8 23.1 175 195 7.6 12.4

Lea County -------------------------- 23 333 15.5 465 498 147 156 16.7 18.4 11.4 12.9 303 322 23.6 25.6

Eunice division ---------------------- 1 280 15.2 376 489 115 143 12.2 19.3 9.5 14.7 213 311 16.6 24.2

Eunice city----------------------- 1 140 15.5 380 493 123 151 12.4 19.5 9.7 15.4 214 310 16.7 24.1

Hobbs division ---------------------- 15 395 13.3 495 550 147 160 16.4 18.7 11.0 13.1 316 339 23.8 26.7

Hobbs city----------------------- 12 327 13.0 468 523 147 162 16.0 18.4 10.8 13.2 311 336 23.9 27.0

Jal division ------------------------ 1 111 42.3 370 440 149 163 13.7 17.9 10.8 13.3 247 289 19.1 31.8

Jal city ------------------------- 1 026 42.9 378 451 151 165 14.0 18.3 10.8 13.3 248 291 19.5 32.4

Lovington division ------------------- 4 843 13.6 393 457 145 167 16.7 21.0 10.6 14.0 246 286 22.0 26.9

Lovington city -------------------- 3 700 13.4 376 434 138 161 16.0 20.6 10.7 14.7 246 287 22.0 26.6

Tatum division ---------------------- 704 36.5 342 434 124 156 11.6 17.8 10.2 14.8 253 335 8.7 17.3

Tatum town---------------------- 382 46.1 297 406 124 155 10.4 15.8 10.3 14.8 278 337 9.6 17.3

Lincoln County ------------------------ 12 622 23.7 611 677 172 187 24.0 28.5 13.3 16.0 332 365 24.4 29.7

Capitan division --------------------- 1 282 38.5 506 621 142 179 15.3 23.7 10.3 14.5 232 322 13.1 19.4

Capitan village-------------------- 530 41.1 485 587 164 209 10.4 17.4 9.7 15.7 300 347 16.6 28.1

Ruidoso village (pt.) --------------- – –––– – – – – – – –– –

Carrizozo division ------------------- 701 38.8 391 547 139 164 16.2 24.7 13.0 17.7 225 325 21.7 31.6

Carrizozo town ------------------- 577 38.3 373 545 139 164 14.3 22.9 12.9 17.8 224 325 21.6 31.7

Corona division --------------------- 289 29.1 310 945 131 193 20.5 64.4 10.7 32.0 166 213 6.8 17.5

Corona village -------------------- 120 30.0 – 1 000 144 207 – 30.0 10.3 34.4 83 233 6.0 23.4

Hondo division---------------------- 447 14.8 – 700 119 160 – 100.0 13.6 30.4 115 693 5.9 96.4

Ruidoso division--------------------- 9 903 21.0 641 780 189 211 24.6 30.8 12.2 16.1 355 392 26.1 32.5

Ruidoso village (pt.) --------------- 6 677 19.0 661 826 201 233 24.6 32.5 11.8 17.3 365 412 24.5 32.5

Ruidoso Downs village -------------- 622 45.8 368 465 157 180 20.1 29.0 12.2 20.3 354 409 29.7 44.3

Los Alamos County -------------------- 7 565 13.6 885 942 185 200 16.0 18.5 9.1 11.8 447 488 16.4 19.9

Los Alamos division ------------------ 5 326 14.3 896 981 182 197 16.5 20.1 9.1 11.9 436 475 16.1 19.7

Los Alamos CDP ------------------ 5 163 14.4 896 981 182 197 16.5 20.1 9.1 11.9 434 473 16.2 19.8

White Rock division ------------------ 2 239 11.9 832 933 184 233 14.6 18.2 7.2 13.6 560 751 13.4 24.6

White Rock CDP------------------- 2 198 11.9 832 933 184 233 14.6 18.2 7.2 13.6 581 791 12.8 25.8

Luna County ------------------------- 7 766 16.4 407 455 127 137 21.9 25.3 10.9 13.2 242 269 25.6 30.0

Deming North division ---------------- 5 931 14.5 399 455 126 138 21.9 26.2 10.5 13.3 240 272 25.1 29.8

Deming city (pt.)------------------ 4 486 14.6 381 446 124 137 22.1 26.8 10.5 13.6 239 270 24.0 28.9

Deming South division ---------------- 1 835 22.4 404 516 121 141 19.4 24.4 10.5 14.7 232 284 22.1 55.4

Columbus village ------------------ 315 44.1 288 464 121 144 7.1 32.3 11.6 18.6 222 269 32.2 61.8

Deming city (pt.)------------------ 1 –––– – – – – – – –– –

McKinley County ---------------------- 20 933 12.7 605 656 91 104 17.8 21.5 12.0 13.6 278 310 18.2 20.8

Crownpoint division ------------------ 1 911 11.4 63 256 49 80 3.7 19.3 8.5 14.7 201 254 10.4 16.9

Crownpoint CDP------------------- 673 10.8 – 600 87 219 – 30.0 7.3 30.3 184 248 10.1 17.2

Gallup division ---------------------- 7 471 11.8 645 694 181 208 18.2 22.2 10.9 14.2 336 369 22.6 26.2

Gallup city (pt.)------------------- 6 684 11.8 647 698 191 218 17.6 21.7 10.6 14.1 332 368 22.5 25.9

Red Rock division-------------------- 6 509 14.3 469 598 62 73 14.1 28.1 12.1 14.7 239 328 13.9 20.9

Gallup city (pt.)------------------- 22 22.7 –––– – – – – – –– – Reservation division ------------------ 3 191 10.8 84 325 59 83 5.8 28.2 10.6 15.5 174 229 10.0 15.1

Mexican Springs CDP--------------- 82 9.8 ––– 100 ––– 20.0 107 243 1.9 80.4

Navajo CDP ---------------------- 588 3.7 –––– – – – – 123 264 6.0 20.1

Tohatchi CDP --------------------- 266 13.2 –––– – – – – 207 338 7.6 14.6

Zuni division ----------------------- 1 851 15.2 123 274 125 144 10.4 39.3 10.5 13.9 177 231 12.3 18.3

Black Rock CDP ------------------- 244 16.4 ––– 150 ––– 20.0 193 331 12.8 22.7

Zuni Pueblo CDP ------------------ 1 389 15.0 111 267 124 143 9.4 44.2 10.3 13.7 166 216 9.5 18.0

Mora County ------------------------- 2 486 18.8 353 588 111 133 8.8 18.9 12.5 16.8 147 276 23.2 42.6

Mora division ---------------------- 1 820 10.5 384 832 101 135 3.6 20.8 11.5 18.8 148 300 24.6 67.3

Wagon Mound division --------------- 666 41.4 285 377 118 147 11.4 21.0 11.3 15.6 72 164 11.0 21.9

Wagon Mound village -------------- 209 43.5 257 373 144 176 9.9 21.1 12.5 19.5 50 193 7.7 19.4

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 77
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 78

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 21. Percent in Sample and Confidence Bounds for Housing Characteristics: 1990mCon.

[For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Housing units Median selected monthly owner costs (dollars)

With a mortgage

90-percent confidence

bounds

Not mortgaged

90-percent confidence

bounds

Median selected monthly owner costs as a percent- age of household income in 1989

With a mortgage

90-percent confidence

bounds

Not mortgaged

90-percent confidence

bounds

Median gross rent (dol- lars)

90-percent confidence

bounds

Median gross rent as a percentage of household income in 1989

90-percent confidence

bounds

100-percent

count

Percent in

sample Lower Upper Lower Upper Lower Upper Lower Upper Lower Upper Lower Upper

Otero County------------------------- 23 177 17.7 563 597 141 150 20.7 22.0 10.8 12.5 348 363 24.0 25.5

Alamogordo division ----------------- 15 963 13.8 571 612 138 150 20.4 22.0 10.2 12.4 356 374 23.9 25.7

Alamogordo city ------------------ 11 974 13.9 568 611 140 154 20.3 22.0 10.2 12.7 353 374 24.2 26.6

Boles Acres CDP ------------------ 619 15.2 631 1 001 114 167 8.7 20.5 5.9 14.1 275 563 14.2 68.7

Holloman AFB CDP----------------- 1 410 10.6 – 400 – 100 – 20.0 – 20.0 371 404 18.0 23.8

La Luz CDP (pt.) ------------------ 667 15.4 457 581 112 159 18.4 26.7 5.8 14.2 322 428 20.6 29.8

Mescalero division ------------------- 721 43.8 204 349 115 147 13.1 26.4 10.3 15.4 235 289 13.7 17.9

Mescalero CDP ------------------- 337 43.0 307 373 94 142 5.4 18.6 9.1 14.9 258 332 12.6 18.7

Southeast Otero division -------------- 4 403 28.5 504 578 140 162 18.5 26.3 10.0 13.4 314 354 17.7 25.7

Cloudcroft village------------------ 781 44.9 539 638 177 243 17.9 24.6 6.8 13.2 305 383 22.6 27.0

La Luz CDP (pt.) ------------------ – –––– – – – – – – –– – Tularosa division -------------------- 2 090 15.2 387 546 139 167 20.5 24.6 10.8 16.5 253 298 26.0 32.8

Tularosa village ------------------- 1 162 15.4 360 477 137 168 20.3 24.0 10.3 16.6 232 281 26.4 34.6

Quay County ------------------------- 5 576 21.4 421 484 146 161 18.0 21.5 12.0 14.7 258 300 24.7 29.7

House-Forrest division ---------------- 232 37.9 284 679 89 136 3.3 16.7 9.5 24.9 217 466 4.5 22.8

House village --------------------- 54 48.1 – 300 82 133 – 20.0 11.4 25.7 310 485 5.9 24.0

Logan-Nara Visa division -------------- 1 026 45.1 350 406 152 172 18.3 26.8 13.2 18.9 271 391 41.0 67.1

Logan village --------------------- 858 48.8 354 436 151 169 16.2 23.8 12.5 17.8 268 373 45.8 69.0

San Jon division -------------------- 328 47.9 124 301 111 142 16.5 35.5 8.9 16.0 296 330 24.6 28.8

San Jon village ------------------- 130 45.4 101 275 109 141 13.4 47.9 8.0 16.8 306 337 22.8 27.8

Tucumcari division ------------------- 3 990 12.1 420 514 144 166 16.8 22.0 11.1 15.1 241 305 23.6 30.9

Tucumcari city -------------------- 3 164 11.8 402 500 144 167 17.5 22.6 11.0 15.2 228 302 23.1 30.3

Rio Arriba County --------------------- 14 357 26.8 494 545 145 152 19.6 22.2 13.2 14.4 274 296 25.5 28.4

Chimayo division -------------------- 1 457 13.5 435 580 156 183 11.3 36.5 11.9 16.9 243 392 15.6 41.9

Chimayo CDP (pt.)----------------- 860 14.1 379 580 137 169 9.9 44.6 9.2 14.8 222 401 11.3 34.3

Coyote division --------------------- 680 11.5 232 681 116 159 6.4 24.6 10.0 26.6 – 300 – 30.0

Dixon division ---------------------- 636 9.0 – 800 115 162 – 35.0 11.7 24.1 – 400 – 20.0

Jicarilla division --------------------- 868 43.3 258 321 123 145 11.4 16.2 9.9 13.5 236 263 14.0 17.6

Dulce CDP (pt.) ------------------- 771 42.7 249 299 124 146 11.6 16.8 9.9 13.7 236 264 14.0 17.7

Rio Chama division ------------------ 944 11.3 323 530 117 171 19.5 45.6 8.9 15.9 175 334 13.4 57.5

San Juan Pueblo division -------------- 1 885 34.1 367 467 135 149 16.8 24.5 12.8 15.2 302 346 28.4 45.3

Alcalde CDP---------------------- 122 44.3 – 500 142 195 – 35.0 15.7 31.0 135 449 22.1 27.9

Espanola city (pt.)----------------- 294 28.6 351 1 338 128 211 7.6 23.7 8.8 15.9 368 437 24.5 74.1

San Juan CDP -------------------- 189 27.0 233 674 95 140 3.8 82.9 11.1 21.6 251 299 36.4 98.6

Santa Clara division ------------------ 3 073 43.6 562 629 145 157 16.1 19.4 11.5 13.2 269 300 27.5 30.8

Espanola city (pt.)----------------- 1 633 41.4 459 570 165 183 14.7 19.9 12.0 14.7 241 289 27.6 31.3

Santa Clara Pueblo CDP ------------- 431 44.3 183 300 111 125 11.3 18.5 10.1 13.1 211 359 20.5 33.8

South Rio Arriba division -------------- 2 300 14.5 518 733 135 162 21.6 28.5 11.7 16.6 297 370 27.3 39.6

Espanola city (pt.)----------------- 534 12.9 381 814 135 188 12.2 26.6 7.5 17.2 263 384 29.0 61.2

Tierra Amarilla division---------------- 1 988 33.4 530 693 156 182 23.0 29.8 13.4 17.2 228 270 22.7 29.4

Chama village -------------------- 566 38.9 475 644 166 200 22.0 30.6 11.6 17.3 230 277 23.5 31.5

Dulce CDP (pt.) ------------------- – –––– – – – – – – –– –

Vallecitas division ------------------- 337 15.4 9 793 41 99 .9 97.8 7.3 17.8 160 333 26.7 93.2

Western Rio Arriba division ------------ 189 3.7 –––– – – – – – 100 – 20.0

Roosevelt County---------------------- 6 902 16.8 414 455 134 146 17.9 21.9 11.2 13.8 258 279 26.2 29.7

Dora division ----------------------- 312 47.1 333 437 125 175 13.3 22.9 8.5 16.1 206 286 8.4 56.3

Causey village -------------------- 29 44.8 – 300 169 281 – 20.0 3.8 28.1 255 295 1.8 18.2

Dora village (pt.)------------------ 69 46.4 250 425 118 191 15.0 67.5 6.8 18.2 113 437 3.5 83.0

Elida division ----------------------- 595 43.7 283 414 152 201 9.3 21.4 10.5 17.0 198 253 13.3 59.8

Elida town ----------------------- 121 33.9 212 410 153 223 4.2 63.4 10.2 21.9 171 272 8.4 84.3

Floyd village --------------------- 53 52.8 322 478 123 205 4.5 23.9 4.5 15.5 – –– – Portales division--------------------- 5 995 12.5 412 464 131 146 17.6 22.5 10.8 14.0 257 282 26.0 30.1

Dora village (pt.)------------------ – –––– – – – – – – –– – Portales city --------------------- 4 277 11.3 406 468 125 141 16.3 22.5 10.9 14.9 254 282 26.3 32.1

Sandoval County ---------------------- 23 667 22.9 678 693 157 164 23.1 23.8 11.5 12.6 455 481 25.2 27.1

Bernalillo division -------------------- 18 122 20.8 681 697 167 176 23.1 23.9 11.0 12.5 476 504 25.0 27.0

Bernalillo town ------------------- 2 179 35.7 490 550 158 176 23.0 25.9 11.5 14.5 244 281 25.7 30.5

Corrales village (pt.) --------------- 1 969 24.3 928 1 002 178 212 18.4 22.0 9.8 13.7 461 486 18.0 24.0

Placitas CDP --------------------- 677 18.9 991 1 263 168 189 17.9 25.7 8.3 14.5 284 477 10.1 27.7

Rio Rancho city ------------------- 12 325 16.6 669 687 168 180 23.4 24.3 10.5 12.9 524 558 25.1 27.7

San Felipe Pueblo CDP (pt.) ---------- – –––– – – – – – – –– – Santa Ana Pueblo CDP (pt.)---------- 140 45.0 160 256 102 140 7.3 15.2 8.6 13.3 – –– – Cuba division ----------------------- 2 156 22.3 321 664 67 89 17.9 23.6 10.7 14.6 223 289 27.7 47.7

Cuba village---------------------- 329 42.6 245 1 026 143 187 6.0 41.7 11.7 20.3 201 262 24.8 33.9

Jemez division ---------------------- 1 760 36.1 611 754 151 167 19.7 23.5 12.1 14.4 282 347 22.5 31.6

Jemez Pueblo CDP ----------------- 337 26.1 342 952 159 189 6.4 69.0 13.0 18.5 211 293 21.5 92.6

Jemez Springs village -------------- 223 39.9 434 677 151 181 16.5 27.3 10.2 19.1 273 341 14.1 31.6

San Ysidro village ----------------- 93 36.6 221 568 113 221 2.5 23.4 7.4 24.3 301 398 30.1 97.5

Zia Pueblo CDP ------------------- 167 47.9 63 175 91 118 6.2 17.4 8.9 12.4 200 250 35.3 99.7

Santo Domingo division --------------- 1 629 32.2 393 485 141 158 20.7 24.1 10.8 12.8 254 487 12.7 24.5

Cochiti CDP ---------------------- 158 44.3 222 364 110 135 13.1 52.3 10.8 14.9 162 288 2.5 17.5

Pena Blanca CDP ------------------ 105 29.5 533 686 107 181 26.6 90.9 6.8 16.0 65 424 5.7 44.1

San Felipe Pueblo CDP (pt.) ---------- 321 42.4 234 329 128 158 8.5 26.5 11.7 15.6 – 350 – 100.0

Santa Ana Pueblo CDP (pt.)---------- – –––– – – – – – – –– – Santo Domingo Pueblo CDP ---------- 453 13.2 309 489 147 210 20.3 24.7 8.0 13.1 – –– –

San Juan County ---------------------- 34 248 12.9 610 648 116 131 18.7 20.5 11.7 13.3 336 353 23.5 25.2

Aztec division ---------------------- 5 114 11.3 538 622 137 166 16.3 21.7 10.0 14.6 313 355 27.5 34.4

Aztec city ----------------------- 2 158 10.8 453 583 129 168 15.2 23.1 8.4 14.8 297 345 29.3 42.4

Farmington city (pt.) --------------- 86 9.3 –––– – – – – – 250 – 100.0

Flora Vista CDP ------------------- 362 12.2 600 800 132 268 9.8 25.5 4.7 18.8 – 500 – 25.0

Bloomfield division------------------- 3 937 14.3 516 589 122 161 16.7 22.7 10.1 15.1 325 386 23.2 29.4

Bloomfield city (pt.) --------------- 1 798 14.8 500 567 126 188 16.3 25.2 8.6 16.5 322 402 22.9 29.3

Burnham division -------------------- 1 218 14.8 95 544 49 77 2.5 17.5 8.5 14.4 157 194 17.8 24.5

Ojo Amarillo CDP------------------ 204 16.7 – 300 – 150 – 20.0 – 20.0 157 223 21.3 26.2

Farmington division ------------------ 15 770 12.9 649 698 176 191 19.3 21.0 11.0 13.5 365 387 23.1 25.1

Farmington city (pt.) --------------- 13 033 12.7 640 696 176 192 18.9 20.9 10.8 13.6 367 391 23.0 25.2

Kirtland CDP --------------------- 1 128 15.2 606 695 147 203 17.9 23.3 8.3 17.4 343 456 16.9 42.3

Naschitti division -------------------- 1 103 10.7 40 161 40 70 4.0 16.0 8.7 17.1 214 245 8.9 23.0

Naschitti CDP--------------------- 87 8.0 1 200 – 150 – 20.0 – 100.0 200 250 – 20.0

Shiprock-Sanostee division ------------- 5 294 13.8 291 566 60 73 10.2 21.6 11.6 14.6 167 222 16.3 22.7

Newcomb CDP -------------------- 156 16.0 223 569 2 99 – 100.0 – 20.0 122 262 4.1 25.5

Sanostee CDP -------------------- 185 16.2 – – 37 75 – – 6.9 16.4 53 274 3.5 27.7

Shiprock CDP--------------------- 2 221 12.5 306 707 64 92 9.3 31.2 10.6 15.6 156 221 15.6 22.6

78 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
TIPSII [UPF] GPH535 CENSUS90 72583600 05/ 08/ 92 5:00 PM MACHINE: C DATA:CENSUS90S*PH5TIPSDA35. 03/ 25/ 92 08:17:35 TAPE: NONE FRAME: 79

TSF:CENSUS90*92. 03/ 25/ 92 08:17:53 UTF:CENSUS90*93. 03/ 25/ 92 08:17:53 META:CENSUS90S*PH5TABLES35. 03/ 25/ 92 08:21:45

Table 21. Percent in Sample and Confidence Bounds for Housing Characteristics: 1990mCon.

[For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Housing units Median selected monthly owner costs (dollars)

With a mortgage

90-percent confidence

bounds

Not mortgaged

90-percent confidence

bounds

Median selected monthly owner costs as a percent- age of household income in 1989

With a mortgage

90-percent confidence

bounds

Not mortgaged

90-percent confidence

bounds

Median gross rent (dol- lars)

90-percent confidence

bounds

Median gross rent as a percentage of household income in 1989

90-percent confidence

bounds

100-percent

count

Percent in

sample Lower Upper Lower Upper Lower Upper Lower Upper Lower Upper Lower Upper

San Juan CountymCon.

Simpson-Chaco division --------------- 1 812 11.9 248 670 62 100 4.6 40.3 9.3 15.4 173 261 8.7 27.4

Bloomfield city (pt.) --------------- 48 –––– – – – – – – –– – Farmington city (pt.) --------------- – –––– – – – – – – –– –

San Miguel County -------------------- 11 066 14.5 453 522 157 175 22.8 26.5 13.2 15.5 250 289 24.6 28.5

Conchas Dam division ---------------- 491 23.6 – 500 122 199 – 35.0 5.7 14.3 – 300 – 20.0

Mosquero village (pt.)-------------- – –––– – – – – – – –– –

Las Vegas division ------------------- 7 862 12.7 457 546 163 186 23.3 27.3 13.2 16.2 249 292 24.2 28.6

Las Vegas city-------------------- 5 716 12.7 440 509 169 194 22.3 27.0 13.5 17.0 242 285 24.4 28.8

Pecos division ---------------------- 1 797 20.2 352 714 156 183 13.5 26.0 11.1 16.0 249 417 22.3 42.4

Pecos village --------------------- 418 26.6 363 593 157 180 9.4 24.6 10.2 16.0 204 503 28.2 66.1

Trementina division ------------------ 234 15.0 ––– 150 ––– 25.0 – –– –

Villanueva division ------------------- 682 14.1 207 417 95 140 4.0 46.1 9.9 17.2 93 224 15.1 44.0

Santa Fe County ---------------------- 41 464 14.9 797 827 184 192 22.1 23.1 11.4 12.6 481 496 26.9 28.4

Santa Fe division -------------------- 27 226 12.8 776 813 191 203 21.8 23.1 11.2 12.8 489 507 26.8 28.4

Agua Fria CDP -------------------- 1 400 8.8 613 765 134 258 22.7 44.6 5.1 16.3 400 468 20.6 54.2

Santa Fe city (pt.)----------------- 24 621 13.0 775 814 193 205 21.6 22.9 11.3 12.8 487 505 26.8 28.5

Tesuque CDP (pt.) ----------------- 2 –––– – – – – – – –– –

Santa Fe North division --------------- 6 297 29.4 670 755 158 169 19.3 22.1 11.4 13.1 349 389 22.8 26.3

Chimayo CDP (pt.)----------------- 250 13.6 304 3 933 113 155 .4 24.9 9.4 19.1 153 433 – 100.0

Cuyamungue CDP------------------ 126 49.2 562 900 193 258 14.3 28.0 8.7 16.1 321 409 5.8 15.9

Espanola city (pt.)----------------- 929 41.2 563 649 165 186 22.1 26.0 12.0 16.4 242 310 23.3 27.6

Jaconita CDP --------------------- 149 22.8 407 1 946 93 187 1.4 34.8 5.0 15.0 336 493 4.2 20.5

Nambe CDP ---------------------- 514 42.6 509 728 146 175 16.5 22.1 11.5 15.3 396 472 15.0 25.6

Pojoaque CDP -------------------- 402 40.8 629 970 167 208 11.7 25.2 8.9 15.2 197 364 14.0 21.7

San Ildefonso Pueblo CDP ----------- 184 36.4 143 328 81 137 7.5 14.3 8.8 15.1 337 563 5.9 21.3

Santa Cruz CDP------------------- 937 12.7 619 851 150 188 8.6 25.0 8.9 16.4 321 466 17.5 48.8

Santa Fe city (pt.)----------------- 35 8.6 ––– 200 ––– 20.0 – 2 001 – 20.0

Tesuque CDP (pt.) ----------------- 741 20.0 805 1 595 149 223 20.4 27.6 7.7 13.3 346 626 20.1 32.6

Santa Fe South division --------------- 7 941 11.0 860 924 165 197 22.5 24.5 9.6 13.6 412 519 29.8 43.7

Edgewood CDP (pt.) --------------- 1 038 12.1 755 878 57 252 21.7 28.6 3.8 16.2 411 538 27.6 58.1

Eldorado at Santa Fe CDP ----------- 877 10.6 856 972 168 313 21.4 24.6 5.9 15.6 649 993 7.0 78.9

La Cienega CDP ------------------- 392 9.2 552 1 042 – 350 12.6 24.9 – 20.0 160 543 1.7 18.3

Santa Fe city (pt.)----------------- 25 20.0 – 700 105 145 – 20.0 ––– 450 – 35.0

Sierra County ------------------------ 6 457 17.2 381 466 128 145 19.3 26.5 11.0 13.7 209 243 25.5 28.2

Truth or Consequences East division ------ 5 232 17.6 381 465 129 145 19.6 26.4 10.7 13.5 206 238 25.2 28.0

Truth or Consequences city ---------- 3 655 15.9 360 435 120 138 17.6 26.5 10.5 13.8 191 228 25.4 28.4

Williamsburg village ---------------- 262 35.5 239 380 118 142 3.9 23.0 10.4 17.8 272 347 14.6 24.3

Truth or Consequences West division ----- 1 225 15.5 332 562 92 167 6.5 34.5 9.8 18.3 251 327 25.5 34.3

Socorro County ----------------------- 6 289 20.1 512 571 141 159 19.3 22.7 11.8 14.4 290 321 25.7 31.1

Claunch division --------------------- 58 15.5 –––– – – – – – –– –

Magdalena division ------------------ 1 105 44.3 412 544 91 110 14.7 21.6 11.6 14.3 235 328 12.6 19.1

Magdalena village ----------------- 421 43.5 345 432 105 133 12.1 21.9 11.5 16.0 210 321 10.2 19.1

Socorro city (pt.)------------------ – –––– – – – – – – –– – Rio Grande division ------------------ 5 126 15.0 510 582 158 176 18.9 23.4 11.3 15.0 288 325 26.0 32.5

Socorro city (pt.)------------------ 3 502 15.0 501 594 168 188 18.3 24.1 11.3 16.0 287 328 26.1 33.0

Taos County ------------------------- 12 020 31.5 462 502 147 156 22.3 24.7 13.5 14.8 359 380 30.5 34.4

Arroyo Hondo division ---------------- 1 440 32.4 455 597 140 165 23.0 27.9 11.5 14.7 327 416 22.5 30.5

Questa village (pt.) ---------------- 7 14.3 –––– – – – – – –– –

Penasco division--------------------- 774 14.2 299 503 97 128 10.7 53.5 8.2 16.2 – –– –

Picuris division ---------------------- 839 42.7 227 364 149 169 23.3 48.7 14.6 18.3 304 372 30.0 55.2

Chamisal CDP -------------------- 143 40.6 101 550 106 138 20.5 24.5 12.2 20.7 111 236 21.4 28.9

Penasco CDP --------------------- 280 44.3 570 1 217 149 184 21.2 28.0 14.0 21.1 330 400 28.5 58.4

Vadito CDP ---------------------- 119 44.5 141 1 075 158 212 14.0 84.8 11.8 20.4 268 473 32.7 86.1

Questa division --------------------- 2 057 32.9 470 558 155 175 23.3 29.6 13.0 16.6 311 345 26.3 32.4

Questa village (pt.) ---------------- 763 39.4 498 579 151 175 24.1 29.4 11.7 15.6 312 336 29.9 42.5

Red River town ------------------- 479 38.0 403 497 208 382 20.2 24.8 6.5 16.5 319 505 20.6 42.8

Taos division ----------------------- 5 449 29.5 493 557 154 168 21.4 24.8 12.9 14.9 370 394 32.5 40.1

Ranchos De Taos CDP -------------- 711 13.5 510 676 87 192 14.4 30.5 7.9 14.7 350 412 40.7 75.3

Taos town (pt.)------------------- 2 086 36.3 448 557 160 185 17.6 23.0 14.6 18.4 362 393 29.7 36.2

Taos Pueblo division------------------ 1 222 45.1 229 280 126 144 13.3 18.1 13.3 16.2 291 370 22.9 30.2

Taos town (pt.)------------------- 29 41.4 – – 110 190 – – 26.0 87.0 126 374 26.0 75.8

Taos Pueblo CDP ------------------ 802 47.6 180 231 106 127 12.2 17.5 13.5 17.3 153 188 9.7 63.3

Tres Piedras division ----------------- 239 10.0 – – 114 324 – – 5.4 65.6 – –– –

Torrance County ---------------------- 4 878 33.5 473 522 146 162 22.2 27.0 13.2 15.9 300 336 24.2 29.9

Encino division ---------------------- 329 23.7 – 400 127 224 – 20.0 6.9 15.4 49 347 4.9 29.3

Encino village--------------------- 76 46.1 – 400 150 230 – 20.0 8.6 20.0 264 536 26.4 82.2

Estancia division -------------------- 3 697 31.9 488 546 151 172 21.2 26.1 12.6 16.5 306 361 24.7 30.8

Edgewood CDP (pt.) --------------- 193 41.5 485 652 84 208 13.6 28.6 4.8 15.2 269 477 9.0 51.1

Estancia town -------------------- 383 41.0 420 507 134 162 14.8 23.6 12.1 18.1 254 406 27.1 55.7

Moriarty city --------------------- 597 47.4 420 487 172 198 22.9 27.6 12.6 18.0 322 373 33.8 53.1

Mountainair division------------------ 852 44.2 355 434 132 148 27.0 34.3 13.8 17.5 262 319 19.0 34.4

Mountainair town ----------------- 455 43.1 333 414 133 157 27.4 47.2 13.6 18.6 259 323 18.9 36.3

Willard village -------------------- 90 48.9 366 480 120 181 13.2 35.7 11.1 19.3 – 200 – 100.0

Union County------------------------- 2 299 19.4 450 536 131 151 19.5 25.4 11.4 15.9 243 320 23.3 34.0

Clayton North division ---------------- 563 33.2 453 662 131 171 21.5 28.6 11.3 21.4 196 485 4.3 15.7

Clayton town (pt.)----------------- – –––– – – – – – – –– –

Des Moines village----------------- 80 18.8 – 500 113 191 – 30.0 6.8 55.9 – 500 – 20.0

Folsom village -------------------- 43 30.2 410 490 – 200 26.0 34.0 – 25.0 – 200 – 20.0

Grenville village ------------------- 23 17.4 –––– – – – – – –– –

Clayton South division ---------------- 1 736 14.9 432 542 126 154 17.5 26.5 10.5 16.0 236 320 24.5 40.5

Clayton town (pt.)----------------- 1 316 15.3 430 538 127 153 17.3 26.9 10.5 16.1 228 311 25.7 42.6

Valencia County----------------------- 16 781 15.1 577 614 163 173 22.1 23.5 12.0 14.0 332 358 26.0 29.8

Belen division ---------------------- 6 007 15.5 498 549 159 173 22.2 24.6 11.8 14.5 305 342 26.2 32.3

Belen city ----------------------- 2 622 16.1 460 504 160 181 19.6 24.8 11.6 15.7 289 329 25.1 33.8

Los Chaves CDP (pt.)--------------- 17 11.8 – 600 –– – 100.0 – – – –– – Los Trujillos-Gabaldon CDP (pt.) ------- 697 16.4 535 810 129 172 22.0 31.5 8.7 15.2 272 384 29.8 67.8

Rio Communities CDP--------------- 1 447 16.0 470 620 153 184 21.8 25.1 10.1 15.6 376 516 17.4 33.1

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 79
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Table 21. Percent in Sample and Confidence Bounds for Housing Characteristics: 1990mCon.

[For definitions of terms and meanings of symbols, see text]

State

County

County Subdivision

Place

Housing units Median selected monthly owner costs (dollars)

With a mortgage

90-percent confidence

bounds

Not mortgaged

90-percent confidence

bounds

Median selected monthly owner costs as a percent- age of household income in 1989

With a mortgage

90-percent confidence

bounds

Not mortgaged

90-percent confidence

bounds

Median gross rent (dol- lars)

90-percent confidence

bounds

Median gross rent as a percentage of household income in 1989

90-percent confidence

bounds

100-percent

count

Percent in

sample Lower Upper Lower Upper Lower Upper Lower Upper Lower Upper Lower Upper

Valencia CountymCon.

Los Lunas division ------------------- 10 774 14.8 618 662 163 178 21.6 23.3 11.4 14.2 344 378 24.6 29.6

Bosque Farms village --------------- 1 384 15.2 703 794 175 232 20.3 23.9 8.4 16.0 378 506 14.5 24.8

Isleta Pueblo CDP (pt.) ------------- 118 44.1 315 385 85 140 3.0 17.0 10.0 15.9 204 446 25.2 29.8

Los Chaves CDP (pt.)--------------- 1 438 10.4 590 700 141 182 18.0 26.0 8.9 17.1 326 425 21.0 29.7

Los Lunas village ------------------ 2 272 14.0 535 595 160 194 22.3 26.0 9.7 16.3 299 358 26.8 37.5

Los Trujillos-Gabaldon CDP (pt.) ------- – –––– – – – – – – –– – Meadow Lake CDP----------------- 596 14.4 257 782 156 247 21.4 33.5 1.5 29.6 361 482 6.4 58.2

Peralta CDP ---------------------- 1 237 14.5 556 822 156 200 21.1 27.6 7.5 14.7 320 394 12.2 28.3

Tome-Adelino CDP ----------------- 615 15.8 537 780 132 182 18.7 28.2 13.2 26.2 306 347 15.9 78.5

Valencia CDP --------------------- 1 378 14.6 605 705 150 201 15.3 21.2 8.5 15.6 291 465 23.8 62.0

80 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
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Table 22. Percent in Sample and Confidence Bounds for Housing Characteristics: 1990

[For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Housing units Median selected monthly owner costs (dollars)

With a mortgage

90-percent confidence

bounds

Not mortgaged

90-percent confidence

bounds

Median selected monthly owner costs as a percent- age of household income in 1989

With a mortgage

90-percent confidence

bounds

Not mortgaged

90-percent confidence

bounds

Median gross rent (dol- lars)

90-percent confidence

bounds

Median gross rent as a percentage of household income in 1989

90-percent confidence

bounds

100-percent

count

Percent in

sample Lower Upper Lower Upper Lower Upper Lower Upper Lower Upper Lower Upper

The State ------------------- 632 058 16.4 648 655 162 164 21.5 21.7 12.4 12.7 370 373 26.3 26.7

COUNTY Bernalillo County ---------------------- 201 235 13.4 733 746 190 194 22.1 22.5 12.0 12.7 399 405 27.0 27.7

Catron County ------------------------ 1 552 15.9 347 494 114 170 12.4 83.8 9.2 16.4 227 351 12.8 31.7

Chaves County------------------------ 23 386 15.0 445 473 141 149 18.4 20.2 11.9 13.5 326 344 26.7 29.1

Cibola County ------------------------ 9 692 24.7 362 399 132 142 16.9 19.7 12.1 13.8 235 256 19.4 23.3

Colfax County ------------------------ 8 265 25.8 473 519 156 165 19.0 22.4 12.3 14.4 254 278 25.2 27.8

Curry County ------------------------- 16 906 15.5 493 531 155 167 20.0 21.7 11.8 13.7 341 356 24.7 26.4

DeBaca County ----------------------- 1 329 48.5 388 448 130 144 21.4 27.2 12.0 14.6 225 271 26.7 31.2

Dona Ana County --------------------- 49 148 16.0 603 631 160 167 20.2 21.2 11.7 12.8 343 352 27.4 29.0

Eddy County ------------------------- 20 134 14.0 459 490 133 139 16.3 18.3 11.0 12.4 295 313 22.3 24.5

Grant County------------------------- 11 349 18.2 450 502 146 156 17.8 20.6 11.1 12.8 291 312 21.6 25.6

Guadalupe County --------------------- 2 149 33.4 427 503 140 157 25.7 32.2 14.0 17.1 216 243 30.3 38.9

Harding County ----------------------- 614 47.9 325 384 138 158 7.6 18.5 12.1 16.3 194 257 11.4 52.0

Hidalgo County ----------------------- 2 413 14.6 371 477 134 169 16.0 22.0 10.3 16.2 177 214 13.2 18.1

Lea County -------------------------- 23 333 15.5 465 498 147 156 16.7 18.4 11.4 12.9 303 322 23.6 25.6

Lincoln County ------------------------ 12 622 23.7 611 677 172 187 24.0 28.5 13.3 16.0 332 365 24.4 29.7

Los Alamos County -------------------- 7 565 13.6 885 942 185 200 16.0 18.5 9.1 11.8 447 488 16.4 19.9

Luna County ------------------------- 7 766 16.4 407 455 127 137 21.9 25.3 10.9 13.2 242 269 25.6 30.0

McKinley County ---------------------- 20 933 12.7 605 656 91 104 17.8 21.5 12.0 13.6 278 310 18.2 20.8

Mora County ------------------------- 2 486 18.8 353 588 111 133 8.8 18.9 12.5 16.8 147 276 23.2 42.6

Otero County------------------------- 23 177 17.7 563 597 141 150 20.7 22.0 10.8 12.5 348 363 24.0 25.5

Quay County ------------------------- 5 576 21.4 421 484 146 161 18.0 21.5 12.0 14.7 258 300 24.7 29.7

Rio Arriba County --------------------- 14 357 26.8 494 545 145 152 19.6 22.2 13.2 14.4 274 296 25.5 28.4

Roosevelt County---------------------- 6 902 16.8 414 455 134 146 17.9 21.9 11.2 13.8 258 279 26.2 29.7

Sandoval County ---------------------- 23 667 22.9 678 693 157 164 23.1 23.8 11.5 12.6 455 481 25.2 27.1

San Juan County ---------------------- 34 248 12.9 610 648 116 131 18.7 20.5 11.7 13.3 336 353 23.5 25.2

San Miguel County -------------------- 11 066 14.5 453 522 157 175 22.8 26.5 13.2 15.5 250 289 24.6 28.5

Santa Fe County ---------------------- 41 464 14.9 797 827 184 192 22.1 23.1 11.4 12.6 481 496 26.9 28.4

Sierra County ------------------------ 6 457 17.2 381 466 128 145 19.3 26.5 11.0 13.7 209 243 25.5 28.2

Socorro County ----------------------- 6 289 20.1 512 571 141 159 19.3 22.7 11.8 14.4 290 321 25.7 31.1

Taos County ------------------------- 12 020 31.5 462 502 147 156 22.3 24.7 13.5 14.8 359 380 30.5 34.4

Torrance County ---------------------- 4 878 33.5 473 522 146 162 22.2 27.0 13.2 15.9 300 336 24.2 29.9

Union County------------------------- 2 299 19.4 450 536 131 151 19.5 25.4 11.4 15.9 243 320 23.3 34.0

Valencia County----------------------- 16 781 15.1 577 614 163 173 22.1 23.5 12.0 14.0 332 358 26.0 29.8

PLACE AND COUNTY SUBDIVISION Acomita Lake CDP, Cibola County--------- 77 44.2 – – 47 92 – – 9.0 17.7 302 348 .8 19.2

Agua Fria CDP, Santa Fe County --------- 1 400 8.8 613 765 134 258 22.7 44.6 5.1 16.3 400 468 20.6 54.2

Alamogordo city, Otero County ---------- 11 974 13.9 568 611 140 154 20.3 22.0 10.2 12.7 353 374 24.2 26.6

Albuquerque city, Bernalillo County-------- 166 870 13.1 733 748 196 201 21.9 22.4 11.8 12.6 399 405 27.0 27.6

Alcalde CDP, Rio Arriba County ---------- 122 44.3 – 500 142 195 – 35.0 15.7 31.0 135 449 22.1 27.9

Angel Fire village, Colfax County --------- 616 47.6 –––– – – – – 143 465 32.5 62.4

Anthony CDP, Dona Ana County---------- 1 381 15.5 299 426 114 137 15.5 25.7 9.7 14.5 231 286 23.7 39.2

Artesia city, Eddy County--------------- 4 510 11.3 401 458 127 141 14.8 19.4 10.1 13.3 251 297 21.6 24.7

Aztec city, San Juan County ------------ 2 158 10.8 453 583 129 168 15.2 23.1 8.4 14.8 297 345 29.3 42.4

Bayard city, Grant County -------------- 1 028 14.6 350 476 137 162 14.4 24.3 9.5 14.6 158 272 19.2 37.6

Belen city, Valencia County ------------- 2 622 16.1 460 504 160 181 19.6 24.8 11.6 15.7 289 329 25.1 33.8

Bernalillo town, Sandoval County --------- 2 179 35.7 490 550 158 176 23.0 25.9 11.5 14.5 244 281 25.7 30.5

Black Rock CDP, McKinley County--------- 244 16.4 ––– 150 ––– 20.0 193 331 12.8 22.7

Bloomfield city, San Juan County --------- 1 846 14.4 499 568 126 188 16.3 25.2 8.5 16.6 321 403 22.8 29.3

Boles Acres CDP, Otero County ---------- 619 15.2 631 1 001 114 167 8.7 20.5 5.9 14.1 275 563 14.2 68.7

Bosque Farms village, Valencia County ----- 1 384 15.2 703 794 175 232 20.3 23.9 8.4 16.0 378 506 14.5 24.8

Cannon AFB CDP, Curry County ---------- 759 15.4 –––– – – – – 365 383 20.9 23.6

Capitan village, Lincoln County ----------- 530 41.1 485 587 164 209 10.4 17.4 9.7 15.7 300 347 16.6 28.1 Carlsbad city, Eddy County-------------- 10 575 13.7 450 493 131 139 15.7 18.4 10.7 12.5 307 329 22.5 26.5

Carlsbad North CDP, Eddy County--------- 470 15.7 710 1 016 167 206 13.6 23.7 7.5 16.4 – 400 – 100.0

Carrizozo town, Lincoln County ---------- 577 38.3 373 545 139 164 14.3 22.9 12.9 17.8 224 325 21.6 31.7

Causey village, Roosevelt County --------- 29 44.8 – 300 169 281 – 20.0 3.8 28.1 255 295 1.8 18.2

Central village, Grant County ------------ 700 47.1 406 550 140 155 15.5 23.0 10.3 13.2 242 303 22.7 33.8

Chama village, Rio Arriba County --------- 566 38.9 475 644 166 200 22.0 30.6 11.6 17.3 230 277 23.5 31.5

Chamisal CDP, Taos County ------------- 143 40.6 101 550 106 138 20.5 24.5 12.2 20.7 111 236 21.4 28.9

Chaparral CDP, Dona Ana County--------- 1 020 13.3 245 384 129 241 22.0 51.6 5.1 14.9 280 382 14.6 34.0

Chimayo CDP------------------------- 1 110 14.0 404 582 133 160 10.5 28.5 10.3 15.1 190 388 11.8 36.4

Rio Arriba County ------------------- 860 14.1 379 580 137 169 9.9 44.6 9.2 14.8 222 401 11.3 34.3

Santa Fe County -------------------- 250 13.6 304 3 933 113 155 .4 24.9 9.4 19.1 153 433 – 100.0

Cimarron village, Colfax County ---------- 400 49.5 463 601 163 180 18.4 27.6 11.8 16.9 240 273 18.1 28.4

Clayton town, Union County------------- 1 316 15.3 430 538 127 153 17.3 26.9 10.5 16.1 228 311 25.7 42.6

Cloudcroft village, Otero County---------- 781 44.9 539 638 177 243 17.9 24.6 6.8 13.2 305 383 22.6 27.0

Clovis city, Curry County --------------- 12 978 13.5 485 526 154 167 19.5 21.6 11.4 13.6 320 342 25.7 28.0

Cochiti CDP, Sandoval County------------ 158 44.3 222 364 110 135 13.1 52.3 10.8 14.9 162 288 2.5 17.5

Columbus village, Luna County ----------- 315 44.1 288 464 121 144 7.1 32.3 11.6 18.6 222 269 32.2 61.8

Corona village, Lincoln County ----------- 120 30.0 – 1 000 144 207 – 30.0 10.3 34.4 83 233 6.0 23.4

Corrales village ----------------------- 2 196 23.5 931 1 008 182 214 17.8 21.4 9.7 13.3 461 488 18.8 24.8

Bernalillo County -------------------- 227 16.3 679 1 248 176 295 9.9 21.2 4.6 15.4 – 2 001 – 100.0

Sandoval County -------------------- 1 969 24.3 928 1 002 178 212 18.4 22.0 9.8 13.7 461 486 18.0 24.0

Crownpoint CDP, McKinley County -------- 673 10.8 – 600 87 219 – 30.0 7.3 30.3 184 248 10.1 17.2

Cuba village, Sandoval County ----------- 329 42.6 245 1 026 143 187 6.0 41.7 11.7 20.3 201 262 24.8 33.9

Cuyamungue CDP, Santa Fe County ------- 126 49.2 562 900 193 258 14.3 28.0 8.7 16.1 321 409 5.8 15.9

Deming city, Luna County--------------- 4 487 14.6 381 446 124 137 22.1 26.8 10.5 13.6 239 270 24.0 28.9

Des Moines village, Union County--------- 80 18.8 – 500 113 191 – 30.0 6.8 55.9 – 500 – 20.0

Dexter town, Chaves County ------------ 348 44.3 345 387 130 153 14.5 21.7 10.9 17.1 255 295 19.9 30.1

Dona Ana CDP, Dona Ana County -------- 382 10.5 220 804 27 185 5.6 28.5 3.7 24.6 232 389 13.0 57.8

Dora village, Roosevelt County ----------- 69 46.4 250 425 118 191 15.0 67.5 6.8 18.2 113 437 3.5 83.0

Dulce CDP, Rio Arriba County------------ 771 42.7 249 299 124 146 11.6 16.8 9.9 13.7 236 264 14.0 17.7

Eagle Nest village, Colfax County --------- 157 24.8 – 800 159 241 – 30.0 1.7 18.3 257 372 20.6 70.5

Edgewood CDP ----------------------- 1 231 16.7 746 857 84 190 22.0 27.3 5.4 14.6 419 507 30.0 48.5

Santa Fe County -------------------- 1 038 12.1 755 878 57 252 21.7 28.6 3.8 16.2 411 538 27.6 58.1

Torrance County -------------------- 193 41.5 485 652 84 208 13.6 28.6 4.8 15.2 269 477 9.0 51.1

Eldorado at Santa Fe CDP, Santa Fe County - 877 10.6 856 972 168 313 21.4 24.6 5.9 15.6 649 993 7.0 78.9

Elida town, Roosevelt County ------------ 121 33.9 212 410 153 223 4.2 63.4 10.2 21.9 171 272 8.4 84.3

Encino village, Torrance County----------- 76 46.1 – 400 150 230 – 20.0 8.6 20.0 264 536 26.4 82.2

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 81
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Table 22. Percent in Sample and Confidence Bounds for Housing Characteristics: 1990mCon.

[For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Housing units Median selected monthly owner costs (dollars)

With a mortgage

90-percent confidence

bounds

Not mortgaged

90-percent confidence

bounds

Median selected monthly owner costs as a percent- age of household income in 1989

With a mortgage

90-percent confidence

bounds

Not mortgaged

90-percent confidence

bounds

Median gross rent (dol- lars)

90-percent confidence

bounds

Median gross rent as a percentage of household income in 1989

90-percent confidence

bounds

100-percent

count

Percent in

sample Lower Upper Lower Upper Lower Upper Lower Upper Lower Upper Lower Upper

PLACE AND COUNTY SUBDIVISIONm Con.

Espanola city ------------------------- 3 390 35.8 549 617 164 177 19.2 22.3 12.1 14.3 270 308 27.8 30.8

Rio Arriba County ------------------- 2 461 33.7 500 620 160 177 16.1 20.9 11.7 14.3 271 318 29.4 33.3

Santa Fe County -------------------- 929 41.2 563 649 165 186 22.1 26.0 12.0 16.4 242 310 23.3 27.6

Estancia town, Torrance County ---------- 383 41.0 420 507 134 162 14.8 23.6 12.1 18.1 254 406 27.1 55.7

Eunice city, Lea County ---------------- 1 140 15.5 380 493 123 151 12.4 19.5 9.7 15.4 214 310 16.7 24.1

Farmington city, San Juan County -------- 13 119 12.6 640 696 176 192 18.9 20.9 10.8 13.6 367 390 23.1 25.3

Flora Vista CDP, San Juan County -------- 362 12.2 600 800 132 268 9.8 25.5 4.7 18.8 – 500 – 25.0

Floyd village, Roosevelt County ---------- 53 52.8 322 478 123 205 4.5 23.9 4.5 15.5 – –– –

Folsom village, Union County ------------ 43 30.2 410 490 – 200 26.0 34.0 – 25.0 – 200 – 20.0

Fort Sumner village, DeBaca County ------- 692 49.0 366 432 130 145 23.2 29.4 12.5 15.5 207 243 25.9 30.7

Gallup city, McKinley County ------------ 6 706 11.9 647 698 191 218 17.6 21.7 10.6 14.1 332 368 22.5 25.9

Grady village, Curry County ------------- 49 28.6 430 785 156 194 3.0 29.4 2.5 17.5 – –– –

Grants city, Cibola County -------------- 3 532 15.1 409 494 153 173 18.0 22.6 11.2 14.9 229 269 18.2 24.8

Grenville village, Union County ----------- 23 17.4 –––– – – – – – –– –

Hagerman town, Chaves County---------- 390 41.0 317 421 106 137 20.7 31.5 9.4 13.8 194 239 24.7 48.0

Hatch village, Dona Ana County ---------- 498 35.5 367 483 130 155 22.5 31.8 11.8 17.6 237 287 28.4 49.4

Hobbs city, Lea County ---------------- 12 327 13.0 468 523 147 162 16.0 18.4 10.8 13.2 311 336 23.9 27.0

Holloman AFB CDP, Otero County--------- 1 410 10.6 – 400 – 100 – 20.0 – 20.0 371 404 18.0 23.8

Hope village, Eddy County -------------- 55 40.0 – 500 137 233 – 20.0 8.3 38.1 – –– –

House village, Quay County ------------- 54 48.1 – 300 82 133 – 20.0 11.4 25.7 310 485 5.9 24.0

Hurley town, Grant County-------------- 623 39.0 336 387 142 158 16.9 21.6 9.9 12.8 311 345 13.9 23.1

Isleta Pueblo CDP---------------------- 637 45.8 140 334 89 105 5.9 14.1 11.7 14.0 147 228 11.2 24.2

Bernalillo County -------------------- 519 46.2 74 236 87 104 4.9 15.1 11.6 14.1 134 212 8.1 21.2

Valencia County--------------------- 118 44.1 315 385 85 140 3.0 17.0 10.0 15.9 204 446 25.2 29.8

Jaconita CDP, Santa Fe County----------- 149 22.8 407 1 946 93 187 1.4 34.8 5.0 15.0 336 493 4.2 20.5

Jal city, Lea County ------------------- 1 026 42.9 378 451 151 165 14.0 18.3 10.8 13.3 248 291 19.5 32.4

Jemez Pueblo CDP, Sandoval County ------ 337 26.1 342 952 159 189 6.4 69.0 13.0 18.5 211 293 21.5 92.6

Jemez Springs village, Sandoval County ---- 223 39.9 434 677 151 181 16.5 27.3 10.2 19.1 273 341 14.1 31.6

Kirtland CDP, San Juan County----------- 1 128 15.2 606 695 147 203 17.9 23.3 8.3 17.4 343 456 16.9 42.3

La Cienega CDP, Santa Fe County--------- 392 9.2 552 1 042 – 350 12.6 24.9 – 20.0 160 543 1.7 18.3

Laguna CDP, Cibola County ------------- 170 15.3 53 264 59 128 3.6 38.6 5.9 15.1 158 291 1.8 24.2

Lake Arthur town, Chaves County -------- 137 42.3 167 298 92 138 11.9 34.7 11.5 19.3 49 276 4.8 28.4

La Luz CDP, Otero County -------------- 667 15.4 457 581 112 159 18.4 26.7 5.8 14.2 322 428 20.6 29.8

Las Cruces city, Dona Ana County -------- 25 676 15.0 596 629 171 180 19.0 20.6 11.1 12.7 360 372 28.0 29.8

Las Vegas city, San Miguel County ------- 5 716 12.7 440 509 169 194 22.3 27.0 13.5 17.0 242 285 24.4 28.8

Logan village, Quay County ------------- 858 48.8 354 436 151 169 16.2 23.8 12.5 17.8 268 373 45.8 69.0

Lordsburg city, Hidalgo County----------- 1 204 14.0 360 466 130 168 16.6 23.0 10.2 17.4 135 260 25.3 39.5

Los Alamos CDP, Los Alamos County ------ 5 163 14.4 896 981 182 197 16.5 20.1 9.1 11.9 434 473 16.2 19.8

Los Chaves CDP, Valencia County--------- 1 455 10.4 581 692 141 182 18.8 26.6 8.9 17.1 326 425 21.1 29.7

Los Lunas village, Valencia County -------- 2 272 14.0 535 595 160 194 22.3 26.0 9.7 16.3 299 358 26.8 37.5

Los Ranchos de Albuquerque village, Bernalillo County ------------------------- 1 581 11.3 755 1 000 192 291 17.9 26.5 8.9 14.6 404 512 25.8 34.5

Los Trujillos-Gabaldon CDP, Valencia County - 697 16.4 535 810 129 172 22.0 31.5 8.7 15.2 272 384 29.8 67.8

Loving village, Eddy County ------------- 479 43.4 350 417 117 132 12.5 19.0 10.3 13.8 225 277 19.9 28.4

Lovington city, Lea County -------------- 3 700 13.4 376 434 138 161 16.0 20.6 10.7 14.7 246 287 22.0 26.6

Magdalena village, Socorro County-------- 421 43.5 345 432 105 133 12.1 21.9 11.5 16.0 210 321 10.2 19.1

Maxwell village, Colfax County ---------- 146 47.3 438 693 130 165 13.8 61.6 11.2 22.0 130 267 20.5 30.2

Meadow Lake CDP, Valencia County------- 596 14.4 257 782 156 247 21.4 33.5 1.5 29.6 361 482 6.4 58.2

Melrose village, Curry County------------ 354 41.5 372 488 143 167 15.0 24.9 13.4 19.1 192 323 22.0 31.1

Mescalero CDP, Otero County------------ 337 43.0 307 373 94 142 5.4 18.6 9.1 14.9 258 332 12.6 18.7

Mesilla town, Dona Ana County ---------- 787 39.1 600 717 146 177 13.4 17.4 10.7 14.1 310 351 23.4 29.6

Mesita CDP, Cibola County-------------- 178 25.8 85 194 44 91 6.7 15.5 7.0 15.5 115 180 6.9 52.0

Mexican Springs CDP, McKinley County ---- 82 9.8 ––– 100 ––– 20.0 107 243 1.9 80.4

Milan village, Cibola County ------------- 735 43.7 420 472 171 192 23.2 31.1 11.3 16.6 251 276 27.9 42.7

Moriarty city, Torrance County----------- 597 47.4 420 487 172 198 22.9 27.6 12.6 18.0 322 373 33.8 53.1

Mosquero village ---------------------- 96 49.0 302 398 126 156 .5 97.0 12.0 20.2 – 100 – 20.0

Harding County --------------------- 96 49.0 302 398 126 156 .5 97.0 12.0 20.2 – 100 – 20.0

San Miguel County ------------------ – –––– – – – – – – –– –

Mountainair town, Torrance County ------- 455 43.1 333 414 133 157 27.4 47.2 13.6 18.6 259 323 18.9 36.3

Nambe CDP, Santa Fe County ----------- 514 42.6 509 728 146 175 16.5 22.1 11.5 15.3 396 472 15.0 25.6

Naschitti CDP, San Juan County ---------- 87 8.0 1 200 – 150 – 20.0 – 100.0 200 250 – 20.0

Navajo CDP, McKinley County ----------- 588 3.7 –––– – – – – 123 264 6.0 20.1

Newcomb CDP, San Juan County --------- 156 16.0 223 569 2 99 – 100.0 – 20.0 122 262 4.1 25.5

North Acomita Village CDP, Cibola County -- 112 32.1 – – 109 166 – – 7.6 16.0 332 417 8.5 23.9

North Valley CDP, Bernalillo County ------- 4 819 13.8 664 760 166 186 21.0 24.4 10.6 13.9 375 422 28.3 33.4

Ojo Amarillo CDP, San Juan County ------- 204 16.7 – 300 – 150 – 20.0 – 20.0 157 223 21.3 26.2

Paguate CDP, Cibola County ------------- 195 14.9 – 500 80 157 – 100.0 9.3 38.4 230 424 12.1 81.7

Paradise Hills CDP, Bernalillo County------- 1 962 11.7 733 828 183 230 19.8 22.8 7.4 14.2 489 663 20.9 28.1

Paraje CDP, Cibola County -------------- 236 19.1 102 704 45 134 6.9 26.7 4.6 15.4 157 255 4.0 17.5

Pecos village, San Miguel County --------- 418 26.6 363 593 157 180 9.4 24.6 10.2 16.0 204 503 28.2 66.1

Pena Blanca CDP, Sandoval County-------- 105 29.5 533 686 107 181 26.6 90.9 6.8 16.0 65 424 5.7 44.1

Penasco CDP, Taos County -------------- 280 44.3 570 1 217 149 184 21.2 28.0 14.0 21.1 330 400 28.5 58.4

Peralta CDP, Valencia County ------------ 1 237 14.5 556 822 156 200 21.1 27.6 7.5 14.7 320 394 12.2 28.3

Placitas CDP, Sandoval County ----------- 677 18.9 991 1 263 168 189 17.9 25.7 8.3 14.5 284 477 10.1 27.7

Pojoaque CDP, Santa Fe County ---------- 402 40.8 629 970 167 208 11.7 25.2 8.9 15.2 197 364 14.0 21.7

Portales city, Roosevelt County----------- 4 277 11.3 406 468 125 141 16.3 22.5 10.9 14.9 254 282 26.3 32.1

Questa village, Taos County ------------- 770 39.2 498 579 151 175 24.1 29.4 11.7 15.6 311 336 29.9 42.5

Ranchos De Taos CDP, Taos County ------- 711 13.5 510 676 87 192 14.4 30.5 7.9 14.7 350 412 40.7 75.3

Raton city, Colfax County -------------- 3 502 13.7 431 523 148 164 16.6 23.0 10.9 14.4 230 276 25.1 29.7

Red River town, Taos County ------------ 479 38.0 403 497 208 382 20.2 24.8 6.5 16.5 319 505 20.6 42.8

Reserve village, Catron County ----------- 160 18.1 – – 100 232 – – 3.1 16.9 179 439 17.2 84.0

Rio Communities CDP, Valencia County----- 1 447 16.0 470 620 153 184 21.8 25.1 10.1 15.6 376 516 17.4 33.1

Rio Rancho city, Sandoval County--------- 12 325 16.6 669 687 168 180 23.4 24.3 10.5 12.9 524 558 25.1 27.7

Roswell city, Chaves County------------- 18 242 13.2 440 473 142 151 18.3 20.3 11.9 13.7 333 353 27.2 29.9

Roy village, Harding County ------------- 212 46.7 319 392 138 170 6.7 18.7 11.2 17.0 201 259 11.5 55.3

Ruidoso village, Lincoln County----------- 6 677 19.0 661 826 201 233 24.6 32.5 11.8 17.3 365 412 24.5 32.5

Ruidoso Downs village, Lincoln County ----- 622 45.8 368 465 157 180 20.1 29.0 12.2 20.3 354 409 29.7 44.3

Sandia CDP, Bernalillo County------------ 1 860 14.8 ––– 100 –––– 391 420 20.3 23.2

Sandia Heights CDP, Bernalillo County ----- 1 420 11.9 1 345 1 525 262 399 21.1 24.8 5.5 14.5 751 946 22.5 30.2

82 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
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Table 22. Percent in Sample and Confidence Bounds for Housing Characteristics: 1990mCon.

[For definitions of terms and meanings of symbols, see text]

State

County

Place and [In Selected

States] County

Subdivision

Housing units Median selected monthly owner costs (dollars)

With a mortgage

90-percent confidence

bounds

Not mortgaged

90-percent confidence

bounds

Median selected monthly owner costs as a percent- age of household income in 1989

With a mortgage

90-percent confidence

bounds

Not mortgaged

90-percent confidence

bounds

Median gross rent (dol- lars)

90-percent confidence

bounds

Median gross rent as a percentage of household income in 1989

90-percent confidence

bounds

100-percent

count

Percent in

sample Lower Upper Lower Upper Lower Upper Lower Upper Lower Upper Lower Upper

PLACE AND COUNTY SUBDIVISIONm Con.

San Felipe Pueblo CDP, Sandoval County --- 321 42.4 234 329 128 158 8.5 26.5 11.7 15.6 – 350 – 100.0

San Ildefonso Pueblo CDP, Santa Fe County - 184 36.4 143 328 81 137 7.5 14.3 8.8 15.1 337 563 5.9 21.3

San Jon village, Quay County------------ 130 45.4 101 275 109 141 13.4 47.9 8.0 16.8 306 337 22.8 27.8

San Juan CDP, Rio Arriba County --------- 189 27.0 233 674 95 140 3.8 82.9 11.1 21.6 251 299 36.4 98.6 Sanostee CDP, San Juan County---------- 185 16.2 – – 37 75 – – 6.9 16.4 53 274 3.5 27.7

Santa Ana Pueblo CDP, Sandoval County --- 140 45.0 160 256 102 140 7.3 15.2 8.6 13.3 – –– – Santa Clara Pueblo CDP, Rio Arriba County-- 431 44.3 183 300 111 125 11.3 18.5 10.1 13.1 211 359 20.5 33.8

Santa Cruz CDP, Santa Fe County -------- 937 12.7 619 851 150 188 8.6 25.0 8.9 16.4 321 466 17.5 48.8

Santa Fe city, Santa Fe County ---------- 24 681 13.0 775 813 192 205 21.6 22.9 11.3 12.8 487 505 26.8 28.5

Santa Rosa city, Guadalupe County ------- 988 39.8 399 474 134 150 23.7 30.8 12.6 16.5 218 242 31.7 43.7

Santo Domingo Pueblo CDP, Sandoval

County ---------------------------- 453 13.2 309 489 147 210 20.3 24.7 8.0 13.1 – –– – San Ysidro village, Sandoval County------- 93 36.6 221 568 113 221 2.5 23.4 7.4 24.3 301 398 30.1 97.5

Seama CDP, Cibola County-------------- 143 37.1 145 334 97 179 8.0 16.8 8.8 17.3 150 317 7.5 35.2

Shiprock CDP, San Juan County ---------- 2 221 12.5 306 707 64 92 9.3 31.2 10.6 15.6 156 221 15.6 22.6

Silver City town, Grant County----------- 4 255 13.7 389 472 142 163 16.5 21.1 10.0 13.3 288 322 25.0 29.8

Skyline-Ganipa CDP, Cibola County -------- 218 45.9 112 158 66 112 12.1 17.1 8.3 14.2 154 289 – 100.0

Socorro city, Socorro County ------------ 3 502 15.0 501 594 168 188 18.3 24.1 11.3 16.0 287 328 26.1 33.0

South Valley CDP, Bernalillo County ------- 12 226 14.5 555 597 163 173 22.9 25.0 12.6 14.5 340 370 30.2 34.7

Springer town, Colfax County------------ 589 45.5 413 519 152 172 20.3 26.9 14.3 19.1 177 241 26.0 29.7

Sunland Park city, Dona Ana County ------ 1 959 13.8 249 360 131 146 26.2 58.8 11.2 15.1 238 287 23.6 40.5

Taos town, Taos County --------------- 2 115 36.4 448 557 160 184 17.6 22.9 14.9 18.7 361 390 29.8 36.4

Taos Pueblo CDP, Taos County ----------- 802 47.6 180 231 106 127 12.2 17.5 13.5 17.3 153 188 9.7 63.3

Tatum town, Lea County --------------- 382 46.1 297 406 124 155 10.4 15.8 10.3 14.8 278 337 9.6 17.3

Tesuque CDP, Santa Fe County----------- 743 19.9 805 1 595 149 223 20.4 27.7 7.7 13.3 346 628 20.1 32.6

Texico city, Curry County --------------- 380 42.9 358 434 128 147 23.6 30.4 13.0 20.5 257 308 26.6 45.0

Tijeras village, Bernalillo County ---------- 145 26.9 290 793 160 196 14.4 29.1 5.9 22.7 314 809 11.9 34.6

Tohatchi CDP, McKinley County ---------- 266 13.2 –––– – – – – 207 338 7.6 14.6

Tome-Adelino CDP, Valencia County ------- 615 15.8 537 780 132 182 18.7 28.2 13.2 26.2 306 347 15.9 78.5

Truth or Consequences city, Sierra County -- 3 655 15.9 360 435 120 138 17.6 26.5 10.5 13.8 191 228 25.4 28.4

Tucumcari city, Quay County ------------ 3 164 11.8 402 500 144 167 17.5 22.6 11.0 15.2 228 302 23.1 30.3

Tularosa village, Otero County ----------- 1 162 15.4 360 477 137 168 20.3 24.0 10.3 16.6 232 281 26.4 34.6

University Park CDP, Dona Ana County----- 647 14.4 –––– – – – – 314 324 25.6 34.5

Vadito CDP, Taos County --------------- 119 44.5 141 1 075 158 212 14.0 84.8 11.8 20.4 268 473 32.7 86.1

Valencia CDP, Valencia County ----------- 1 378 14.6 605 705 150 201 15.3 21.2 8.5 15.6 291 465 23.8 62.0

Vaughn town, Guadalupe County --------- 371 39.9 323 518 173 201 30.3 56.0 11.8 16.9 148 199 30.2 48.9

Virden village, Hidalgo County ----------- 48 18.8 – 300 – 100 – 20.0 – 20.0 250 300 .1 19.9

Wagon Mound village, Mora County ------ 209 43.5 257 373 144 176 9.9 21.1 12.5 19.5 50 193 7.7 19.4

White Rock CDP, Los Alamos County ------ 2 198 11.9 832 933 184 233 14.6 18.2 7.2 13.6 581 791 12.8 25.8

White Sands CDP, Dona Ana County ------ 724 16.3 – 200 205 297 – 20.0 .7 19.3 395 447 14.3 21.1

Willard village, Torrance County ---------- 90 48.9 366 480 120 181 13.2 35.7 11.1 19.3 – 200 – 100.0

Williamsburg village, Sierra County-------- 262 35.5 239 380 118 142 3.9 23.0 10.4 17.8 272 347 14.6 24.3

Zia Pueblo CDP, Sandoval County--------- 167 47.9 63 175 91 118 6.2 17.4 8.9 12.4 200 250 35.3 99.7

Zuni Pueblo CDP, McKinley County -------- 1 389 15.0 111 267 124 143 9.4 44.2 10.3 13.7 166 216 9.5 18.0

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 83
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Table 23. Percent in Sample, Standard Error, and Confidence Bounds for American Indian and Alaska Native Areas:

1990

[For definitions of terms and meanings of symbols, see text]

American Indian Area

County

Persons Housing units Occupied housing units with an American Indian, Eskimo, or Aleut householder

Median selected monthly owner costs (dollars)

With a mortgage

90-percent confidence bounds

Not mortgaged

90-percent confidence bounds

Median gross rent (dollars)

90-percent confidence bounds

100-percent

count

Percent in sample100-percent

count

Percent in sample

Per capita income in

1989 (dollars)

for American Indian,

Eskimo, or

Aleut per- sonsmStan- dard error Lower Upper Lower Upper Lower Upper

AMERICAN INDIAN RESERVATION AND

TRUST LAND

Acoma Pueblo and Trust Lands, NM 2 590 ------- 40.3 992 41.5 149 138 200 87 113 214 394

Acoma Pueblo ---------------------- 2 590 40.3 992 41.5 149 138 200 87 113 214 394

Cibola County -------------------- 2 590 40.3 992 41.5 149 138 200 87 113 214 394

Acoma Trust Lands ------------------ – – –––––––– –

Cibola County -------------------- – – –––––––– –

Alamo Navajo Reservation, NM 1 271 ----------- 46.4 343 50.1 143 308 684 71 91 202 273

Socorro County ------------------- 1 271 46.4 343 50.1 143 308 684 71 91 202 273

Canoncito Reservation, NM 1 189 -------------- 49.1 295 46.8 222 – – 59 75 82 154

Bernalillo County ------------------ 1 072 50.0 258 47.7 244 – – 58 74 83 153

Cibola County -------------------- 117 41.0 37 40.5 326 – – 41 154 – –

Sandoval County ------------------ – – –––––––– –

Cochiti Pueblo, NM 1 342 -------------------- 37.9 527 39.3 282 184 430 118 151 271 573

Sandoval County ------------------ 1 328 38.2 519 39.7 282 185 429 118 151 271 571

Santa Fe County ------------------ 14 14.3 8 12.5 –––––– –

Isleta Pueblo, NM 2 915 --------------------- 43.7 1 032 45.9 195 218 345 106 121 116 223 Bernalillo County ------------------ 2 171 45.3 782 47.2 220 202 342 101 118 94 207

Torrance County ------------------ – – –––––––– – Valencia County------------------- 744 39.0 250 42.0 420 170 415 110 152 92 385

Jemez Pueblo, NM 1 750 -------------------- 20.9 449 23.2 188 373 876 157 190 205 295

Sandoval County ------------------ 1 750 20.9 449 23.2 188 373 876 157 190 205 295

Jicarilla Apache Reservation, NM 2 617 ---------- 40.4 905 43.3 162 218 315 126 152 234 265

Rio Arriba County ----------------- 2 602 40.4 900 43.3 165 218 315 126 152 234 265

Sandoval County ------------------ 15 40.0 5 40.0 –––––– –

Laguna Pueblo and Trust Lands, NM 3 731 ------- 21.5 1 339 21.8 165 155 225 87 127 163 242

Laguna Pueblo ---------------------- 3 731 21.5 1 338 21.8 165 155 225 87 127 163 242

Bernalillo County ------------------ 9 55.6 6 33.3 6 720 ––– 200 – – Cibola County -------------------- 3 718 21.4 1 329 21.7 165 155 225 87 127 163 242

Sandoval County ------------------ 4 100.0 3 66.7 –––––– – Valencia County------------------- – – –––––––– – Laguna Trust Lands ------------------ – – 1 ––––––– – Cibola County -------------------- – – 1 ––––––– –

Mescalero Apache Reservation, NM 2 695 -------- 44.9 721 43.8 164 223 398 120 165 214 276

Lincoln County -------------------- – – –––––––– –

Otero County--------------------- 2 695 44.9 721 43.8 164 223 398 120 165 214 276

Nambe Pueblo and Trust Lands, NM 1 402 ------- 42.7 570 42.5 490 122 214 92 157 19 264

Nambe Pueblo ---------------------- 1 402 42.7 570 42.5 490 122 214 92 157 19 264

Santa Fe County ------------------ 1 402 42.7 570 42.5 490 122 214 92 157 19 264

Nambe Trust Lands ------------------ – – –––––––– – Santa Fe County ------------------ – – –––––––– –

Navajo Reservation and Trust Lands, AZ--NM- -UT (pt.) --------------------------- 51 987 11.7 18 559 13.6 34 176 259 61 69 189 227

Navajo Reservation (pt.) -------------- 31 914 10.7 11 485 12.7 45 191 328 59 69 181 227

McKinley County ------------------ 10 999 8.7 3 861 11.2 80 121 434 55 72 203 265

San Juan County ------------------ 20 915 11.7 7 624 13.5 55 184 346 59 70 161 214

Navajo Trust Lands (pt.) -------------- 20 073 13.3 7 074 15.0 51 117 223 61 72 181 258

Cibola County -------------------- 1 510 46.4 539 43.2 225 72 333 55 77 138 215

McKinley County ------------------ 13 475 9.6 4 702 12.4 64 93 296 61 77 160 300

Rio Arriba County ----------------- 54 5.6 22 9.1 –––––– –

Sandoval County ------------------ 1 919 11.0 688 11.3 158 – – 41 73 – 500

San Juan County ------------------ 3 115 14.5 1 123 14.7 109 83 218 50 81 150 293

Picuris Pueblo, NM 1 882 --------------------- 41.0 839 42.7 400 131 236 130 246 – 500

Taos County --------------------- 1 882 41.0 839 42.7 400 131 236 130 246 – 500

Pojoaque Pueblo, NM 2 556 ------------------- 35.5 1 040 36.3 763 18 283 16 179 127 266

Santa Fe County ------------------ 2 556 35.5 1 040 36.3 763 18 283 16 179 127 266

Ramah Navajo Community, NM 194 ----------- 44.3 83 49.4 345 – 300 43 72 – –

Cibola County -------------------- 194 44.3 83 49.4 345 – 300 43 72 – –

Sandia Pueblo, NM 3 971 -------------------- 30.9 1 440 34.9 408 116 358 75 143 126 286

Bernalillo County ------------------ 299 32.1 114 34.2 –––––– –

Sandoval County ------------------ 3 672 30.8 1 326 35.0 422 116 358 75 143 127 286

San Felipe Pueblo, NM 2 434 ------------------ 43.3 582 41.8 159 102 363 133 159 – 500

Sandoval County ------------------ 2 434 43.3 582 41.8 159 102 363 133 159 – 500

San Ildefonso Pueblo, NM 1 499 --------------- 41.2 635 41.9 434 120 220 72 122 – –

Sandoval County ------------------ – – –––––––– –

Santa Fe County ------------------ 1 499 41.2 635 41.9 434 120 220 72 122 – –

San Juan Pueblo, NM 5 209 ------------------ 32.1 1 885 34.1 248 264 444 122 149 111 251

Rio Arriba County ----------------- 5 209 32.1 1 885 34.1 248 264 444 122 149 111 251

Santa Ana Pueblo, NM 593 ----------------- 46.2 248 45.6 340 111 227 102 137 – –

Sandoval County ------------------ 593 46.2 248 45.6 340 111 227 102 137 – –

Santa Clara Pueblo, NM 10 193 ---------------- 43.1 4 127 44.0 248 205 338 122 142 266 351

Rio Arriba County ----------------- 7 712 42.8 3 073 43.6 254 205 339 122 142 242 318

Sandoval County ------------------ – – –––––––– –

Santa Fe County ------------------ 2 481 44.0 1 054 44.9 615 –––– 362 544

Santo Domingo Pueblo, NM 2 992 -------------- 12.7 494 14.8 161 316 484 142 202 – 300

Sandoval County ------------------ 2 992 12.7 494 14.8 161 316 484 142 202 – 300

Santa Fe County ------------------ – – ––––––– – –

Taos Pueblo and Trust Lands, NM 4 745 --------- 42.3 2 678 43.6 252 138 202 104 133 129 279

Taos Pueblo------------------------ 4 681 42.4 2 650 43.7 253 138 202 104 133 129 278

Taos County --------------------- 4 681 42.4 2 650 43.7 253 138 202 104 133 129 278

Taos Trust Lands -------------------- 64 29.7 28 32.1 –––––– – Taos County --------------------- 64 29.7 28 32.1 –––––– –

84 NEW MEXICO SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS
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Table 23. Percent in Sample, Standard Error, and Confidence Bounds for American Indian and Alaska Native Areas:

1990mCon.

[For definitions of terms and meanings of symbols, see text]

American Indian Area

County

Persons Housing units Occupied housing units with an American Indian, Eskimo, or Aleut householder

Median selected monthly owner costs (dollars)

With a mortgage

90-percent confidence bounds

Not mortgaged

90-percent confidence bounds

Median gross rent (dollars)

90-percent confidence bounds

100-percent

count

Percent in sample100-percent

count

Percent in sample

Per capita income in

1989 (dollars)

for American Indian,

Eskimo, or

Aleut per- sonsmStan- dard error Lower Upper Lower Upper Lower Upper

AMERICAN INDIAN RESERVATION AND

TRUST LANDmCon.

Tesuque Pueblo and Trust Lands, NM 697 ------- 42.8 294 41.5 693 4 297 60 126 238 410

Tesuque Pueblo --------------------- 697 42.8 294 41.5 693 4 297 60 126 238 410

Santa Fe County ------------------ 697 42.8 294 41.5 693 4 297 60 126 238 410

Tesuque Trust Lands ----------------- – – –––––––– –

Santa Fe County ------------------ – – –––––––– –

Ute Mountain Reservation and Trust Lands,

CO--NM--UT (pt.) --------------------- – – –––––––– – Ute Mountain Reservation (pt.) --------- – – –––––––– – San Juan County ------------------ – – –––––––– –

Zia Pueblo and Trust Lands, NM 637 ---------- 46.8 167 47.9 267 94 262 91 125 200 300

Zia Pueblo ------------------------- 637 46.8 167 47.9 267 94 262 91 125 200 300

Sandoval County ------------------ 637 46.8 167 47.9 267 94 262 91 125 200 300

Zia Trust Lands --------------------- – – –––––––– –

Sandoval County ------------------ – – –––––––– –

Zuni Pueblo, AZ--NM (pt.)--------------- 7 405 15.3 1 897 15.1 76 117 260 133 158 135 227

Catron County -------------------- 13 – 8 ––––––– –

Cibola County -------------------- 10 10.0 38 13.2 –––––– –

McKinley County ------------------ 7 382 15.3 1 851 15.2 76 117 260 133 158 136 227

San Felipe/ Santa Ana joint area, NM------- – – –––––––– – Sandoval County ------------------ – – –––––––– –

San Felipe/ Santo Domingo joint area, NM --- – – –––––––– –

Sandoval County ------------------ – – –––––––– –

SUMMARY SOCIAL, ECONOMIC, AND HOUSING CHARACTERISTICS NEW MEXICO 85
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APPENDIX A.

Area Classifications

CONTENTS

Alaska Native Regional Corporation (ANRC) (See American

Indian and Alaska Native Area)

Alaska Native Village (ANV) (See American Indian and Alaska

Native Area)

Alaska Native Village Statistical Area (See American Indian

and Alaska Native Area)

American Indian and Alaska Native Area -------------------- A–1

American Indian Reservation (See American Indian and Alaska

Native Area, see County Subdivision)

American Indian Reservation and Trust Land (See American

Indian and Alaska Native Area)

American Samoa (See Outlying Areas of the United States, see

State)

Area Measurement----------------------------------------- A–3

Assessment District (See County Subdivision)

Block ----------------------------------------------------- A–3

Block Group (BG) ----------------------------------------- A–4

Block Numbering Area (BNA) (See Census Tract and Block

Numbering Area)

Borough (See County Subdivision, see Place)

Borough and Census Area (Alaska) (See County)

Boundary Changes ---------------------------------------- A–4

Census Area (Alaska) (See County)

Census Block (See Block)

Census Code (See Geographic Code)

Census County Division (CCD) (See County Subdivision)

Census Designated Place (CDP) (See Place)

Census Division (See Census Region and Census Division)

Census Geographic Code (See Geographic Code)

Census Region and Census Division ----------------------- A–4

Census Subarea (Alaska) (See County Subdivision)

Census Tract and Block Numbering Area ------------------- A–5

Central City (See Metropolitan Area)

Central Place (See Urbanized Area)

City (See Place)

Congressional District (CD) -------------------------------- A–6

Consolidated City (See Place)

Consolidated Metropolitan Statistical Area (CMSA) (See

Metropolitan Area)

County --------------------------------------------------- A–6

County Subdivision ---------------------------------------- A–6

Crews of Vessels (See Area Measurement, see Block, see

Census Tract and Block Numbering Area)

Division (See Census Region and Division, see County Subdivision)

Election District (See County Subdivision, see Voting District)

Extended City (See Urban and Rural)

Farm (See Urban and Rural)

Federal Information Processing Standards (FIPS) Code

(See Geographic Code)

Geographic Block Group (See Block Group)

Geographic Code ----------------------------------------- A–7

Geographic Presentation ---------------------------------- A–7

Gore (See County Subdivision)

Grant (See County Subdivision)

Guam (See Outlying Areas of the United States, see State)

Hierarchical Presentation (See Geographic Presentation)

Historic Areas of Oklahoma (See American Indian and

Alaska Native Area, Tribal Jurisdiction Statistical Area)

Historical Counts ------------------------------------------ A–8

Incorporated Place (See Place)

Independent City (See County)

Internal Point --------------------------------------------- A–8

Inventory Presentation (See Geographic Presentation)

Land Area (See Area Measurement)

Latitude (See Internal Point)

Longitude (See Internal Point)

Magisterial District (See County Subdivision)

Metropolitan Area (MA) ---------------------------------- A–8

Metropolitan Statistical Area (MSA) (See Metropolitan Area)

Minor Civil Division (MCD) (See County Subdivision)

Northern Mariana Islands (See Outlying Areas of the United

States, see State)

Outlying Areas of the United States ----------------------- A–9

Palau (See Outlying Areas of the United States, see State)

Parish (Louisiana) (See County)

Parish Governing Authority District (See County Subdivision)

Place ---------------------------------------------------- A–9

Plantation (See County Subdivision)

Population or Housing Unit Density ----------------------- A–10

Precinct (See County Subdivision, see Voting District)

Primary Metropolitan Statistical Area (PMSA) (See

Metropolitan Area)

Puerto Rico (See Outlying Areas of the United States, see State)

Purchase (See County Subdivision)

Region (See Census Region and Census Division)

Rural (See Urban and Rural)

Selected States (See County Subdivision, see State)

State ---------------------------------------------------- A–11

Supervisors’ District (See County Subdivision)

Tabulation Block Group (See Block Group)

TIGER --------------------------------------------------- A–11

Town (See County Subdivision, see Place)

Township (See County Subdivision)

Tract (See Census Tract and Block Numbering Area)

Tribal Designated Statistical Area (TDSA) (See American

Indian and Alaska Native Area)

Tribal Jurisdiction Statistical Area (TJSA) (See American

Indian and Alaska Native Area)

Trust Land (See American Indian and Alaska Native Area)

United States -------------------------------------------- A–11

Unorganized Territory (unorg.) (See County Subdivision)

Urban and Rural ----------------------------------------- A–11

Urbanized Area (UA) ------------------------------------- A–12

Village (See Place)

Virgin Islands (See Outlying Areas of the United States, see State)

Voting District (VTD) ------------------------------------- A–12

Water Area (See Area Measurement)

ZIP Code

----------------------------------------------- A–13

These definitions are for all geographic entities and

concepts that the Census Bureau will include in its standard 1990 census data products. Not all entities and concepts are shown in any one 1990 census data product. For

a description of geographic areas included in each data

product, see appendix F.

AMERICAN INDIAN AND ALASKA NATIVE AREA

Alaska Native Regional Corporation (ANRC)

Alaska Native Regional Corporations (ANRC’s) are corporate entities established under the Alaska Native Claims

Settlement Act of 1972, Public Law 92-203, as amended

by Public Law 94-204, to conduct both business and

nonprofit affairs of Alaska Natives. Alaska is divided into

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12 ANRC’s that cover the entire State, except for the

Annette Islands Reserve. The boundaries of the 12 ANRC’s

were established by the Department of the Interior, in

cooperation with Alaska Natives. Each ANRC was designed

to include, as far as practicable, Alaska Natives with a

common heritage and common interests. The ANRC boundaries for the 1990 census were identified by the Bureau of

Land Management. A 13th region was established for

Alaska Natives who are not permanent residents and who

chose not to enroll in one of the 12 ANRC’s; no census

products are prepared for the 13th region. ANRC’s were

first identified for the 1980 census.

Each ANRC is assigned a two-digit census code ranging

from 07 through 84. These census codes are assigned in

alphabetical order of the ANRC’s.

Alaska Native Village (ANV) Statistical Area

Alaska Native villages (ANV’s) constitute tribes, bands,

clans, groups, villages, communities, or associations in

Alaska that are recognized pursuant to the Alaska Native

Claims Settlement Act of 1972, Public Law 92-203. Because

ANV’s do not have legally designated boundaries, the

Census Bureau has established Alaska Native village

statistical areas (ANVSA’s) for statistical purposes. For the

1990 census, the Census Bureau cooperated with officials

of the nonprofit corporation within each participating Alaska

Native Regional Corporation (ANRC), as well as other

knowledgeable officials, to delineate boundaries that encompass the settled area associated with each ANV. ANVSA’s

are located within ANRC’s and do not cross ANRC boundaries. ANVSA’s for the 1990 census replace the ANV’s

that the Census Bureau recognized for the 1980 census.

Each ANVSA is assigned a four-digit census code

ranging from 6001 through 8989. Each ANVSA also is

assigned a five-digit FIPS code. Both the census and FIPS

codes are assigned in alphabetical order of ANVSA’s.

American Indian Reservation and Trust Land

American Indian Reservation—Federal American Indian

reservations are areas with boundaries established by

treaty, statute, and/ or executive or court order, and recognized by the Federal Government as territory in which

American Indian tribes have jurisdiction. State reservations

are lands held in trust by State governments for the use

and benefit of a given tribe. The reservations and their

boundaries were identified for the 1990 census by the

Bureau of Indian Affairs (BIA), Department of Interior (for

Federal reservations), and State governments (for State

reservations). The names of American Indian reservations

recognized by State governments, but not by the Federal

Government, are followed by ‘‘(State).’’ Areas composed

of reservation lands that are administered jointly and/ or

are claimed by two reservations, as identified by the BIA,

are called ‘‘joint areas,’’ and are treated as separate

American Indian reservations for census purposes.

Federal reservations may cross State boundaries, and

Federal and State reservations may cross county, county

subdivision, and place boundaries. For reservations that

cross State boundaries, only the portion of the reservations in a given State are shown in the data products for

that State; the entire reservations are shown in data

products for the United States.

Each American Indian reservation is assigned a fourdigit census code ranging from 0001 through 4989. These

census codes are assigned in alphabetical order of American Indian reservations nationwide, except that joint areas

appear at the end of the code range. Each American Indian

reservation also is assigned a five-digit FIPS code; because

the FIPS codes are assigned in alphabetical sequence of

American Indian reservations within each State, the FIPS

code is different in each State for reservations in more

than one State.

Trust Land—Trust lands are property associated with a

particular American Indian reservation or tribe, held in trust

by the Federal Government. Trust lands may be held in

trust either for a tribe (tribal trust land) or for an individual

member of a tribe (individual trust land). Trust lands

recognized for the 1990 census comprise all tribal trust

lands and inhabited individual trust lands located outside

of a reservation boundary. As with other American Indian

areas, trust lands may be located in more than one State.

Only the trust lands in a given State are shown in the data

products for that State; all trust lands associated with a

reservation or tribe are shown in data products for the

United States. The Census Bureau first reported data for

tribal trust lands for the 1980 census.

Trust lands are assigned a four-digit census code and a

five-digit FIPS code, the same as that for the reservation

with which they are associated. Trust lands not associated

with a reservation are presented by tribal name, interspersed alphabetically among the reservations.

Tribal Designated Statistical Area (TDSA)

Tribal designated statistical areas (TDSA’s) are areas,

delineated outside Oklahoma by federally- and Staterecognized tribes without a land base or associated trust

lands, to provide statistical areas for which the Census

Bureau tabulates data. TDSA’s represent areas generally

containing the American Indian population over which

federally-recognized tribes have jurisdiction and areas in

which State tribes provide benefits and services to their

members. The names of TDSA’s delineated by Staterecognized tribes are followed by ‘‘(State).’’ The Census

Bureau did not recognize TDSA’s before the 1990 census.

Each TDSA is assigned a four-digit census code ranging

from 9001 through 9589. The census codes are assigned

in alphabetical order of TDSA’s nationwide. Each TDSA

also is assigned a five-digit FIPS code in alphabetical order

within State.

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Tribal Jurisdiction Statistical Area (TJSA)

Tribal jurisdiction statistical areas (TJSA’s) are areas,

delineated by federally-recognized tribes in Oklahoma

without a reservation, for which the Census Bureau tabulates data. TJSA’s represent areas generally containing

the American Indian population over which one or more

tribal governments have jurisdiction; if tribal officials delineated adjacent TJSA’s so that they include some duplicate

territory, the overlap area is called a ‘‘joint use area,’’

which is treated as a separate TJSA for census purposes.

TJSA’s replace the ‘‘Historic Areas of Oklahoma (excluding urbanized areas)’’ shown in 1980 census data products. The Historic Areas of Oklahoma comprised the

territory located within reservations that had legally established boundaries from 1900 to 1907; these reservations

were dissolved during the 2- to 3-year period preceding the

statehood of Oklahoma in 1907. The Historic Areas of

Oklahoma (excluding urbanized areas) were identified only

for the 1980 census.

Each TJSA is assigned a four-digit census code ranging

from 5001 through 5989. The census codes are assigned

in alphabetical order of TJSA’s, except that joint areas

appear at the end of the code range. Each TJSA also is

assigned a five-digit FIPS code in alphabetical order within

Oklahoma.

AREA MEASUREMENT

Area measurements provide the size, in square kilometers (also in square miles in printed reports), recorded for

each geographic entity for which the Census Bureau

tabulates data in general-purpose data products (except

crews-of-vessels entities and ZIP Codes). (Square kilometers may be divided by 2.59 to convert an area measurement to square miles.) Area was calculated from the

specific set of boundaries recorded for the entity in the

Census Bureau’s geographic data base (see ‘‘TIGER’’).

On machine-readable files, area measurements are shown

to three decimal places; the decimal point is implied. In

printed reports and listings, area measurements are shown

to one decimal.

The Census Bureau provides measurements for both

land area and total water area for the 1990 census; the

water figure includes inland, coastal, Great Lakes, and

territorial water. (For the 1980 census, the Census Bureau

provided area measurements for land and inland water.)

The Census Bureau will provide measurements for the

component types of water for the affected entities in a

separate file. ‘‘Inland water’’ consists of any lake, reservoir, pond, or similar body of water that is recorded in the

Census Bureau’s geographic data base. It also includes

any river, creek, canal, stream, or similar feature that is

recorded in that data base as a two-dimensional feature

(rather than as a single line). The portions of the oceans

and related large embayments (such as the Chesapeake

Bay and Puget Sound), the Gulf of Mexico, and the

Caribbean Sea that belong to the United States and its

territories are considered to be ‘‘coastal’’ and ‘‘territorial’’

waters; the Great Lakes are treated as a separate water

entity. Rivers and bays that empty into these bodies of

water are treated as ‘‘inland water’’ from the point beyond

which they are narrower than one nautical mile across.

Identification of land and inland, coastal, and territorial

waters is for statistical purposes, and does not necessarily

reflect legal definitions thereof.

By definition, census blocks do not include water within

their boundaries; therefore, the water area of a block is

always zero. Land area measurements may disagree with

the information displayed on census maps and in the

TIGER file because, for area measurement purposes,

features identified as ‘‘intermittent water’’ and ‘‘glacier’’

are reported as land area. For this reason, it may not be

possible to derive the land area for an entity by summing

the land area of its component census blocks. In addition,

the water area measurement reported for some geographic entities includes water that is not included in any

lower-level geographic entity. Therefore, because water is

contained only in a higher-level geographic entity, summing the water measurements for all the component

lower-level geographic entities will not yield the water area

of that higher-level entity. This occurs, for example, where

water is associated with a county but is not within the legal

boundary of any minor civil division, or the water is

associated with a State but is not within the legal boundary

of any county. Crews-of-vessels entities (see ‘‘Census

Tract and Block Numbering Area’’ and ‘‘Block’’) do not

encompass territory and therefore have no area measurements. ZIP Codes do not have specific boundaries, and

therefore, also do not have area measurements.

The accuracy of any area measurement figure is limited

by the inaccuracy inherent in (1) the location and shape

of the various boundary features in the data base, and

(2) rounding affecting the last digit in all operations that

compute and/ or sum the area measurements.

BLOCK

Census blocks are small areas bounded on all sides by

visible features such as streets, roads, streams, and

railroad tracks, and by invisible boundaries such as city,

town, township, and county limits, property lines, and short,

imaginary extensions of streets and roads.

Tabulation blocks, used in census data products, are in

most cases the same as collection blocks, used in the

census enumeration. In some cases, collection blocks

have been ‘‘split’’ into two or more parts required for data

tabulations. Tabulation blocks do not cross the boundaries

of counties, county subdivisions, places, census tracts or

block numbering areas, American Indian and Alaska Native

areas, congressional districts, voting districts, urban or

rural areas, or urbanized areas. The 1990 census is the

first for which the entire United States and its possessions

are block-numbered.

Blocks are numbered uniquely within each census tract

or BNA. A block is identified by a three-digit number,

sometimes with a single alphabetical suffix. Block numbers

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with suffixes generally represent collection blocks that

were ‘‘split’’ in order to identify separate geographic entities that divide the original block. For example, when a city

limit runs through data collection block 101, the data for

the portion inside the city is tabulated in block 101A and

the portion outside, in block 101B. A block number with the

suffix ‘‘Z’’ represents a ‘‘crews-of-vessels’’ entity for which

the Census Bureau tabulates data, but that does not

represent a true geographic area; such a block is shown on

census maps associated with an anchor symbol and a

census tract or block numbering area with a .99 suffix.

BLOCK GROUP (BG)

Geographic Block Group

A geographic block group (BG) is a cluster of blocks

having the same first digit of their three-digit identifying

numbers within a census tract or block numbering area

(BNA). For example, BG 3 within a census tract or BNA

includes all blocks numbered between 301 and 397. In

most cases, the numbering involves substantially fewer

than 97 blocks. Geographic BG’s never cross census tract

or BNA boundaries, but may cross the boundaries of

county subdivisions, places, American Indian and Alaska

Native areas, urbanized areas, voting districts, and congressional districts. BG’s generally contain between 250

and 550 housing units, with the ideal size being 400

housing units.

Tabulation Block Group

In the data tabulations, a geographic BG may be split to

present data for every unique combination of county

subdivision, place, American Indian and Alaska Native

area, urbanized area, voting district, urban/ rural and congressional district shown in the data product; for example,

if BG 3 is partly in a city and partly outside the city, there

will be separate tabulated records for each portion of BG 3.

BG’s are used in tabulating decennial census data nationwide in the 1990 census, in all block-numbered areas in the

1980 census, and in Tape Address Register (TAR) areas in

the 1970 census. For purposes of data presentation, BG’s

are a substitute for the enumeration districts (ED’s) used

for reporting data in many parts of the United States for the

1970 and 1980 censuses, and in all areas for pre-1970

censuses.

BOUNDARY CHANGES

The boundaries of some counties, county subdivisions,

American Indian and Alaska Native areas, and many

incorporated places, changed between those reported for

the 1980 census and January 1, 1990. Boundary changes

to legal entities result from:

1. Annexations to or detachments from legally established governmental units.

2. Mergers or consolidations of two or more governmental units.

3. Establishment of new governmental units.

4. Disincorporations or disorganizations of existing governmental units.

5. Changes in treaties and Executive Orders.

The historical counts shown for counties, county subdivisions, and places are not updated for such changes, and

thus reflect the population and housing units in the area as

delineated at each census. Information on boundary changes

reported between the 1980 and 1990 censuses for counties, county subdivisions, and incorporated places is presented in the ‘‘User Notes’’ section of the technical

documentation of Summary Tape Files 1 and 3, and in the

1990 CPH-2, Population and Housing Unit Counts printed

reports. For information on boundary changes for such

areas in the decade preceding other decennial censuses,

see the Number of Inhabitants reports for each census.

Boundary changes are not reported for some areas, such

as census designated places and block groups.

CENSUS REGION AND CENSUS DIVISION

Census Division

Census divisions are groupings of States that are subdivisions of the four census regions. There are nine

divisions, which the Census Bureau adopted in 1910 for

the presentation of data. The regions, divisions, and their

constituent States are:

Northeast Region

New England Division:

Maine, New Hampshire, Vermont, Massachusetts,

Rhode Island, Connecticut

Middle Atlantic Division:

New York, New Jersey, Pennsylvania

Midwest Region

East North Central Division:

Ohio, Indiana, Illinois, Michigan, Wisconsin

West North Central Division:

Minnesota, Iowa, Missouri, North Dakota, South Dakota,

Nebraska, Kansas

South Region

South Atlantic Division:

Delaware, Maryland, District of Columbia, Virginia,

West Virginia, North Carolina, South Carolina, Georgia,

Florida

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East South Central Division:

Kentucky, Tennessee, Alabama, Mississippi

West South Central Division:

Arkansas, Louisiana, Oklahoma, Texas

West Region

Mountain Division:

Montana, Idaho, Wyoming, Colorado, New Mexico,

Arizona, Utah, Nevada

Pacific Division:

Washington, Oregon, California, Alaska, Hawaii

Census Region

Census regions are groupings of States that subdivide

the United States for the presentation of data. There are

four regions—Northeast, Midwest, South, and West. Each

of the four census regions is divided into two or more

census divisions. Prior to 1984, the Midwest region was

named the North Central region. From 1910, when census

regions were established, through the 1940’s, there were

three regions—North, South, and West.

CENSUS TRACT AND BLOCK NUMBERING

AREA

Block Numbering Area (BNA)

Block numbering areas (BNA’s) are small statistical

subdivisions of a county for grouping and numbering

blocks in nonmetropolitan counties where local census

statistical areas committees have not established census

tracts. State agencies and the Census Bureau delineated

BNA’s for the 1990 census, using guidelines similar to

those for the delineation of census tracts. BNA’s do not

cross county boundaries.

BNA’s are identified by a four-digit basic number and

may have a two-digit suffix; for example, 9901.07. The

decimal point separating the four-digit basic BNA number

from the two-digit suffix is shown in printed reports, in

microfiche, and on census maps; in machine-readable

files, the decimal point is implied. Many BNA’s do not have

a suffix; in such cases, the suffix field is left blank in all data

products. BNA numbers range from 9501 through 9989.99,

and are unique within a county (numbers in the range of

0001 through 9499.99 denote a census tract). The suffix

.99 identifies a BNA that was populated entirely by persons

aboard one or more civilian or military ships. A ‘‘crews-ofvessels’’ BNA appears on census maps only as an anchor

symbol with its BNA number (and block numbers on maps

showing block numbers); the BNA relates to the ships

associated with the onshore BNA’s having the same

four-digit basic number. Suffixes in the range .80 through

.98 usually identify BNA’s that either were revised or were

created during the 1990 census data collection activities.

Some of these revisions produced BNA’s that have extremely

small land area and may have little or no population or

housing. For data analysis, such a BNA can be summarized with an adjacent BNA.

Census Tract

Census tracts are small, relatively permanent statistical

subdivisions of a county. Census tracts are delineated for

all metropolitan areas (MA’s) and other densely populated

counties by local census statistical areas committees

following Census Bureau guidelines (more than 3,000

census tracts have been established in 221 counties

outside MA’s). Six States (California, Connecticut, Delaware, Hawaii, New Jersey, and Rhode Island) and the

District of Columbia are covered entirely by census tracts.

Census tracts usually have between 2,500 and 8,000

persons and, when first delineated, are designed to be

homogeneous with respect to population characteristics,

economic status, and living conditions. Census tracts do

not cross county boundaries. The spatial size of census

tracts varies widely depending on the density of settlement. Census tract boundaries are delineated with the

intention of being maintained over a long time so that

statistical comparisons can be made from census to

census. However, physical changes in street patterns

caused by highway construction, new development, etc.,

may require occasional revisions; census tracts occasionally are split due to large population growth, or combined

as a result of substantial population decline. Census tracts

are referred to as ‘‘tracts’’ in all 1990 data products.

Census tracts are identified by a four-digit basic number

and may have a two-digit suffix; for example, 6059.02. The

decimal point separating the four-digit basic tract number

from the two-digit suffix is shown in printed reports, in

microfiche, and on census maps; in machine-readable

files, the decimal point is implied. Many census tracts do

not have a suffix; in such cases, the suffix field is left blank

in all data products. Leading zeros in a census tract

number (for example, 002502) are shown only on machinereadable files.

Census tract numbers range from 0001 through 9499.99

and are unique within a county (numbers in the range of

9501 through 9989.99 denote a block numbering area).

The suffix .99 identifies a census tract that was populated

entirely by persons aboard one or more civilian or military

ships. A ‘‘crews-of-vessels’’ census tract appears on census maps only as an anchor symbol with its census tract

number (and block numbers on maps showing block

numbers). These census tracts relate to the ships associated with the onshore census tract having the same

four-digit basic number. Suffixes in the range .80 through

.98 usually identify census tracts that either were revised

or were created during the 1990 census data collection

activities. Some of these revisions may have resulted in

census tracts that have extremely small land area and may

have little or no population or housing. For data analysis,

such a census tract can be summarized with an adjacent

census tract.

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CONGRESSIONAL DISTRICT (CD)

Congressional districts (CD’s) are the 435 areas from

which persons are elected to the U.S. House of Representatives. After the apportionment of congressional seats

among the States, based on census population counts,

each State is responsible for establishing CD’s for the

purpose of electing representatives. Each CD is to be as

equal in population to all other CD’s in the State as

practicable, based on the decennial census counts.

The CD’s that were in effect on January 1, 1990 were

those of the 101st Congress. Data on the 101st Congress

appear in an early 1990 census data product (Summary

Tape File 1A). The CD’s of the 101st Congress are the

same as those in effect for the 102nd Congress. CD’s of

the 103rd Congress, reflecting redistricting based on the

1990 census, are summarized in later 1990 data products

(STF’s 1D and 3D, and 1990 CPH-4, Population and

Housing Characteristics for Congressional Districts of the

103rd Congress printed reports).

COUNTY

The primary political divisions of most States are termed

‘‘counties.’’ In Louisiana, these divisions are known as

‘‘parishes.’’ In Alaska, which has no counties, the county

equivalents are the organized ‘‘boroughs’’ and the ‘‘census areas’’ that are delineated for statistical purposes by

the State of Alaska and the Census Bureau. In four States

(Maryland, Missouri, Nevada, and Virginia), there are one

or more cities that are independent of any county organization and thus constitute primary divisions of their States.

These cities are known as ‘‘independent cities’’ and are

treated as equivalent to counties for statistical purposes.

That part of Yellowstone National Park in Montana is

treated as a county equivalent. The District of Columbia

has no primary divisions, and the entire area is considered

equivalent to a county for statistical purposes.

Each county and county equivalent is assigned a threedigit FIPS code that is unique within State. These codes

are assigned in alphabetical order of county or county

equivalent within State, except for the independent cities,

which follow the listing of counties.

COUNTY SUBDIVISION

County subdivisions are the primary subdivisions of

counties and their equivalents for the reporting of decennial census data. They include census county divisions,

census subareas, minor civil divisions, and unorganized

territories.

Each county subdivision is assigned a three-digit census code in alphabetical order within county and a five-digit

FIPS code in alphabetical order within State.

Census County Division (CCD)

Census county divisions (CCD’s) are subdivisions of a

county that were delineated by the Census Bureau, in

cooperation with State officials and local census statistical

areas committees, for statistical purposes. CCD’s were

established in 21 States where there are no legally established minor civil divisions (MCD’s), where the MCD’s do

not have governmental or administrative purposes, where

the boundaries of the MCD’s change frequently, and/ or

where the MCD’s are not generally known to the public.

CCD’s have no legal functions, and are not governmental

units.

The boundaries of CCD’s usually are delineated to

follow visible features, and in most cases coincide with

census tract or block numbering area boundaries. The

name of each CCD is based on a place, county, or

well-known local name that identifies its location. CCD’s

have been established in the following 21 States: Alabama, Arizona, California, Colorado, Delaware, Florida,

Georgia, Hawaii, Idaho, Kentucky, Montana, Nevada, New

Mexico, Oklahoma, Oregon, South Carolina, Tennessee,

Texas, Utah, Washington, and Wyoming. For the 1980

census, the county subdivisions recognized for Nevada

were MCD’s.

Census Subarea (Alaska)

Census subareas are statistical subdivisions of boroughs and census areas (county equivalents) in Alaska.

Census subareas were delineated cooperatively by the

State of Alaska and the Census Bureau. The census

subareas, identified first in 1980, replaced the various

types of subdivisions used in the 1970 census.

Minor Civil Division (MCD)

Minor civil divisions (MCD’s) are the primary political or

administrative divisions of a county. MCD’s represent

many different kinds of legal entities with a wide variety of

governmental and/ or administrative functions. MCD’s are

variously designated as American Indian reservations,

assessment districts, boroughs, election districts, gores,

grants, magisterial districts, parish governing authority

districts, plantations, precincts, purchases, supervisors’

districts, towns, and townships. In some States, all or some

incorporated places are not located in any MCD and thus

serve as MCD’s in their own right. In other States, incorporated places are subordinate to (part of) the MCD’s in

which they are located, or the pattern is mixed—some

incorporated places are independent of MCD’s and others

are subordinate to one or more MCD’s.

The Census Bureau recognizes MCD’s in the following

28 States: Arkansas, Connecticut, Illinois, Indiana, Iowa,

Kansas, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New

Hampshire, New Jersey, New York, North Carolina, North

Dakota, Ohio, Pennsylvania, Rhode Island, South Dakota,

Vermont, Virginia, West Virginia, and Wisconsin. The District of Columbia has no primary divisions, and the entire

area is considered equivalent to an MCD for statistical

purposes.

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The MCD’s in 12 selected States (Connecticut, Maine,

Massachusetts, Michigan, Minnesota, New Hampshire,

New Jersey, New York, Pennsylvania, Rhode Island, Vermont, and Wisconsin) also serve as general-purpose local

governments. The Census Bureau presents data for these

MCD’s in all data products in which it provides data for

places.

Unorganized Territory (unorg.)

In nine States (Arkansas, Iowa, Kansas, Louisiana,

Maine, Minnesota, North Carolina, North Dakota, and

South Dakota), some counties contain territory that is not

included in an MCD recognized by the Census Bureau.

Each separate area of unorganized territory in these

States is recognized as one or more separate county

subdivisions for census purposes. Each unorganized territory is given a descriptive name, followed by the designation ‘‘unorg.’’

GEOGRAPHIC CODE

Geographic codes are shown primarily on machinereadable data products, such as computer tape and compact disc-read only memory (CD-ROM), but also appear on

other products such as microfiche; they also are shown on

some census maps. Codes are identified as ‘‘census

codes’’ only if there is also a Federal Information Processing Standards (FIPS) code for the same geographic entity.

A code that is not identified as either ‘‘census’’ or ‘‘FIPS’’

is usually a census code for which there is no FIPS

equivalent, or for which the Census Bureau does not use

the FIPS code. The exceptions, which use only the FIPS

code in census products, are county, congressional district, and metropolitan area (that is, metropolitan statistical

area, consolidated metropolitan statistical area, and primary metropolitan statistical area).

Census Code

Census codes are assigned for a variety of geographic

entities, including American Indian and Alaska Native area,

census division, census region, county subdivision, place,

State, urbanized area, and voting district. The structure,

format, and meaning of census codes appear in the 1990

census Geographic Identification Code Scheme; in the

data dictionary portion of the technical documentation for

summary tape files, CD-ROM’s, and microfiche.

Federal Information Processing Standards

(FIPS) Code

Federal Information Processing Standards (FIPS) codes

are assigned for a variety of geographic entities, including

American Indian and Alaska Native area, congressional

district, county, county subdivision, metropolitan area, place,

and State. The structure, format, and meaning of FIPS

codes used in the census are shown in the 1990 census

Geographic Identification Code Scheme; in the data dictionary portion of the technical documentation for summary tape files, CD-ROM’s, and microfiche.

The objective of the FIPS codes is to improve the use of

data resources of the Federal Government and avoid

unnecessary duplication and incompatibilities in the collection, processing, and dissemination of data. More information about FIPS and FIPS code documentation is available

from the National Technical Information Service, Springfield, VA 22161.

United States Postal Service (USPS) Code

United States Postal Service (USPS) codes for States

are used in all 1990 data products. The codes are twocharacter alphabetic abbreviations. These codes are the

same as the FIPS two-character alphabetic abbreviations.

GEOGRAPHIC PRESENTATION

Hierarchical Presentation

A hierarchical geographic presentation shows the geographic entities in a superior/ subordinate structure in

census products. This structure is derived from the legal,

administrative, or areal relationships of the entities. The

hierarchical structure is depicted in report tables by means

of indentation, and is explained for machine-readable

media in the discussion of file structure in the geographic

coverage portion of the abstract in the technical documentation. An example of hierarchical presentation is the

‘‘standard census geographic hierarchy’’: block, within

block group, within census tract or block numbering area,

within place, within county subdivision, within county, within

State, within division, within region, within the United

States. Graphically, this is shown as:

United States

Region

Division

State

County

County subdivision

Place (or part)

Census tract/ block numbering area

(or part)

Block group (or part)

Block

Inventory Presentation

An inventory presentation of geographic entities is one

in which all entities of the same type are shown in

alphabetical or code sequence, without reference to their

hierarchical relationships. Generally, an inventory presentation shows totals for entities that may be split in a

hierarchical presentation, such as place, census tract/

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block numbering area, or block group. An example of a

series of inventory presentations is: State, followed by all

the counties in that State, followed by all the places in that

State. Graphically, this is shown as:

State

County ‘‘A’’

County ‘‘B’’

County ‘‘C’’

Place ‘‘X’’

Place ‘‘Y’’

Place ‘‘Z’’

HISTORICAL COUNTS

Historical counts for total population and total housing

units are shown in the 1990 CPH-2, Population and

Housing Unit Counts report series. As in past censuses,

the general rule for presenting historical data for States,

counties, county subdivisions, and places is to show

historical counts only for single, continually existing entities. Stated another way, if an entity existed for both the

current and preceding censuses, the tables show counts

for the preceding censuses. Included in this category are

entities of the same type (county, county subdivision,

place) even if they had changed their names. Also included

are entities that merged, but only if the new entity retained

the name of one of the merged entities. The historical

counts shown are for each entity as it was bounded at

each census.

In cases where an entity was formed since a preceding

census, such as a newly incorporated place or a newly

organized township, the symbol three dots ‘‘...’’ is shown

for earlier censuses. The three-dot symbol also is shown

for those parts of a place that have extended into an

additional county or county subdivision through annexation

or other revision of boundaries since the preceding census.

In a few cases, changes in the boundaries of county

subdivisions caused a place to be split into two or more

parts, or to be split differently than in the preceding census.

If historical counts for the parts of the place as currently

split did not appear in a preceding census, ‘‘(NA)’’ is shown

for the place in each county subdivision; however, the

historical population and housing unit counts of the place

appear in tables that show the entire place. For counties,

county subdivisions, and places formed since January 1,

1980, 1980 census population and housing unit counts in

the 1990 territory are reported in the geographic change

notes included in the ‘‘User Notes’’ text section of 1990

CPH-2, Population and Housing Unit Counts, and in the

technical documentation of Summary Tape Files 1 and 3.

In some cases, population and housing unit counts for

individual areas were revised since publication of the 1980

reports (indicated by the prefix ‘‘r’’). In a number of tables

of 1990 CPH-2, Population and Housing Unit Counts, 1980

counts are shown for aggregations of individual areas,

such as the number, population, and housing unit counts of

places in size groups, or urban and rural distributions.

Revisions of population and housing unit counts for individual areas were not applied to the various aggregations.

Therefore, it may not be possible to determine the individual areas in a given aggregation using the historical counts;

conversely, the sum of the counts shown for individual

areas may not agree with the aggregation.

INTERNAL POINT

An internal point is a set of geographic coordinates

(latitude and longitude) that is located within a specified

geographic entity. A single point is identified for each

entity; for many entities, this point represents the approximate geographic center of that entity. If the shape of the

entity caused this point to be located outside the boundaries of the entity, it is relocated from the center so that it

is within the entity. If the internal point for a block falls in a

water area, it is relocated to a land area within the block.

On machine-readable products, internal points are shown

to six decimal places; the decimal point is implied.

METROPOLITAN AREA (MA)

The general concept of a metropolitan area (MA) is one

of a large population nucleus, together with adjacent

communities that have a high degree of economic and

social integration with that nucleus. Some MA’s are defined

around two or more nuclei.

The MA classification is a statistical standard, developed for use by Federal agencies in the production,

analysis, and publication of data on MA’s. The MA’s are

designated and defined by the Federal Office of Management and Budget, following a set of official published

standards. These standards were developed by the interagency Federal Executive Committee on Metropolitan

Areas, with the aim of producing definitions that are as

consistent as possible for all MA’s nationwide.

Each MA must contain either a place with a minimum

population of 50,000 or a Census Bureau-defined urbanized area and a total MA population of at least 100,000

(75,000 in New England). An MA comprises one or more

central counties. An MA also may include one or more

outlying counties that have close economic and social

relationships with the central county. An outlying county

must have a specified level of commuting to the central

counties and also must meet certain standards regarding

metropolitan character, such as population density, urban

population, and population growth. In New England, MA’s

are composed of cities and towns rather than whole

counties.

The territory, population, and housing units in MA’s are

referred to as ‘‘metropolitan.’’ The metropolitan category is

subdivided into ‘‘inside central city’’ and ‘‘outside central

city.’’ The territory, population, and housing units located

outside MA’s are referred to as ‘‘nonmetropolitan.’’ The

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metropolitan and nonmetropolitan classification cuts across

the other hierarchies; for example, there is generally both

urban and rural territory within both metropolitan and

nonmetropolitan areas.

To meet the needs of various users, the standards

provide for a flexible structure of metropolitan definitions

that classify an MA either as a metropolitan statistical area

(MSA) or as a consolidated metropolitan statistical area

(CMSA) that is divided into primary metropolitan statistical

areas (PMSA’s). Documentation of the MA standards and

how they are applied is available from the Secretary,

Federal Executive Committee on Metropolitan Areas, Population Division, U.S. Bureau of the Census, Washington,

DC 20233.

Central City

In each MSA and CMSA, the largest place and, in some

cases, additional places are designated as ‘‘central cities’’

under the official standards. A few PMSA’s do not have

central cities. The largest central city and, in some cases,

up to two additional central cities are included in the title of

the MA; there also are central cities that are not included

in an MA title. An MA central city does not include any part

of that city that extends outside the MA boundary.

Consolidated and Primary Metropolitan

Statistical Area (CMSA and PMSA)

If an area that qualifies as an MA has more than one

million persons, primary metropolitan statistical areas (PMSA’s)

may be defined within it. PMSA’s consist of a large

urbanized county or cluster of counties that demonstrates

very strong internal economic and social links, in addition

to close ties to other portions of the larger area. When

PMSA’s are established, the larger area of which they are

component parts is designated a consolidated metropolitan statistical area (CMSA).

Metropolitan Statistical Area (MSA)

Metropolitan statistical areas (MSA’s) are relatively freestanding MA’s and are not closely associated with other

MA’s. These areas typically are surrounded by nonmetropolitan counties.

Metropolitan Area Title and Code

The title of an MSA contains the name of its largest

central city and up to two additional city names, provided

that the additional places meet specified levels of population, employment, and commuting. Generally, a city with a

population of 250,000 or more is in the title, regardless of

other criteria.

The title of a PMSA may contain up to three place

names, as determined above, or up to three county names,

sequenced in order of population. A CMSA title also may

include up to three names, the first of which generally is

the most populous central city in the area. The second

name may be the first city or county name in the most

populous remaining PMSA; the third name may be the first

city or county name in the next most populous PMSA. A

regional designation may be substituted for the second

and/ or third names in a CMSA title if such a designation is

supported by local opinion and is deemed to be unambiguous and suitable by the Office of Management and

Budget.

The titles for all MA’s also contain the name of each

State in which the area is located. Each metropolitan area

is assigned a four-digit FIPS code, in alphabetical order

nationwide. If the fourth digit of the code is a ‘‘2,’’ it

identifies a CMSA. Additionally, there is a separate set of

two-digit codes for CMSA’s, also assigned alphabetically.

OUTLYING AREAS OF THE UNITED STATES

The Census Bureau treats the outlying areas as the

statistical equivalents of States for the 1990 census. The

outlying areas are American Samoa, Guam, the Commonwealth of the Northern Mariana Islands (Northern Mariana

Islands), Republic of Palau (Palau), Puerto Rico, and the

Virgin Islands of the United States (Virgin Islands). Geographic definitions specific to each outlying area are

shown in appendix A of the text in the data products for

each area.

PLACE

Places, for the reporting of decennial census data,

include census designated places and incorporated places.

Each place is assigned a four-digit census code that is

unique within State. Each place is also assigned a five-digit

FIPS code that is unique within State. Both the census and

FIPS codes are assigned based on alphabetical order

within State. Consolidated cities (see below) are assigned

a one-character alphabetical census code that is unique

nationwide and a five-digit FIPS code that is unique within

State.

Census Designated Place (CDP)

Census designated places (CDP’s) are delineated for

the decennial census as the statistical counterparts of

incorporated places. CDP’s comprise densely settled concentrations of population that are identifiable by name, but

are not legally incorporated places. Their boundaries,

which usually coincide with visible features or the boundary

of an adjacent incorporated place, have no legal status,

nor do these places have officials elected to serve traditional municipal functions. CDP boundaries may change

with changes in the settlement pattern; a CDP with the

same name as in previous censuses does not necessarily

have the same boundaries.

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Beginning with the 1950 census, the Census Bureau, in

cooperation with State agencies and local census statistical areas committees, has identified and delineated boundaries for CDP’s. In the 1990 census, the name of each

such place is followed by ‘‘CDP.’’ In the 1980 census,

‘‘(CDP)’’ was used; in 1970, 1960, and 1950 censuses,

these places were identified by ‘‘(U),’’ meaning ‘‘unincorporated place.’’

To qualify as a CDP for the 1990 census, an unincorporated community must have met the following criteria:

1. In all States except Alaska and Hawaii, the Census

Bureau uses three population size criteria to designate

a CDP. These criteria are:

a. 1,000 or more persons if outside the boundaries of

an urbanized area (UA) delineated for the 1980

census or a subsequent special census.

b. 2,500 or more persons if inside the boundaries of

a UA delineated for the 1980 census or a subsequent special census.

c. 250 or more persons if outside the boundaries of a

UA delineated for the 1980 census or a subsequent special census, and within the official boundaries of an American Indian reservation recognized for the 1990 census.

2. In Alaska, 25 or more persons if outside a UA, and

2,500 or more persons if inside a UA delineated for the

1980 census or a subsequent special census.

3. In Hawaii, 300 or more persons, regardless of whether

the community is inside or outside a UA.

For the 1990 census, CDP’s qualified on the basis of the

population counts prepared for the 1990 Postcensus Local

Review Program. Because these counts were subject to

change, a few CDP’s may have final population counts

lower than the minimums shown above.

Hawaii is the only State with no incorporated places

recognized by the Bureau of the Census. All places shown

for Hawaii in the data products are CDP’s. By agreement

with the State of Hawaii, the Census Bureau does not show

data separately for the city of Honolulu, which is coextensive with Honolulu County.

Consolidated City

A consolidated government is a unit of local government for which the functions of an incorporated place and

its county or minor civil division (MCD) have merged. The

legal aspects of this action may result in both the primary

incorporated place and the county or MCD continuing to

exist as legal entities, even though the county or MCD

performs few or no governmental functions and has few or

no elected officials. Where this occurs, and where one or

more other incorporated places in the county or MCD

continue to function as separate governments, even though

they have been included in the consolidated government,

the primary incorporated place is referred to as a ‘‘consolidated city.’’

The data presentation for consolidated cities varies

depending upon the geographic presentation. In hierarchical presentations, consolidated cities are not shown. These

presentations include the semi-independent places and

the ‘‘consolidated city (remainder).’’ Where the consolidated city is coextensive with a county or county subdivision, the data shown for those areas in hierarchical

presentations are equivalent to those for the consolidated

government.

For inventory geographic presentations, the consolidated city appears at the end of the listing of places. The

data for the consolidated city include places that are part

of the consolidated city. The ‘‘consolidated city (remainder)’’ is the portion of the consolidated government minus

the semi-independent places, and is shown in alphabetical

sequence with other places.

In summary presentations by size of place, the consolidated city is not included. The places semi-independent of

consolidated cities are categorized by their size, as is the

‘‘consolidated city (remainder).’’

Each consolidated city is assigned a one-character

alphabetic census code. Each consolidated city also is

assigned a five-digit FIPS code that is unique within State.

The semi-independent places and the ‘‘consolidated city

(remainder)’’ are assigned a four-digit census code and a

five-digit FIPS place code that are unique within State.

Both the census and FIPS codes are assigned based on

alphabetical order within State.

Incorporated Place

Incorporated places recognized in 1990 census data

products are those reported to the Census Bureau as

legally in existence on January 1, 1990 under the laws of

their respective States as cities, boroughs, towns, and

villages, with the following exceptions: the towns in the

New England States, New York, and Wisconsin, and the

boroughs in New York are recognized as minor civil

divisions for census purposes; the boroughs in Alaska are

county equivalents.

POPULATION OR HOUSING UNIT DENSITY

Population or housing unit density is computed by

dividing the total population or housing units of a geographic unit (for example, United States, State, county,

place) by its land area measured in square kilometers or

square miles. Density is expressed as both ‘‘persons (or

housing units) per square kilometer’’ and ‘‘persons (or

housing units) per square mile’’ of land area in 1990

census printed reports.

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STATE

States are the primary governmental divisions of the

United States. The District of Columbia is treated as a

statistical equivalent of a State for census purposes. The

four census regions, nine census divisions, and their

component States are shown under ‘‘CENSUS REGION

AND CENSUS DIVISION’’ in this appendix.

The Census Bureau treats the outlying areas as State

equivalents for the 1990 census. The outlying areas are

American Samoa, Guam, the Northern Mariana Islands,

Palau, Puerto Rico, and the Virgin Islands of the United

States. Geographic definitions specific to each outlying

area are shown in appendix A in the data products for each

area.

Each State and equivalent is assigned a two-digit numeric

Federal Information Processing Standards (FIPS) code in

alphabetical order by State name, followed by the outlying

area names. Each State and equivalent area also is

assigned a two-digit census code. This code is assigned

on the basis of the geographic sequence of each State

within each census division; the first digit of the code is the

code for the respective division. Puerto Rico, the Virgin

Islands, and the outlying areas of the Pacific are assigned

‘‘0’’ as the division code. Each State and equivalent area

also is assigned the two-letter FIPS/ United States Postal

Service (USPS) code.

In 12 selected States (Connecticut, Maine, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey,

New York, Pennsylvania, Rhode Island, Vermont, and

Wisconsin), the minor civil divisions also serve as generalpurpose local governments. The Census Bureau presents

data for these minor civil divisions in all data products in

which it provides data for places.

TIGER

TIGER is an acronym for the new digital (computerreadable) geographic data base that automates the mapping and related geographic activities required to support

the Census Bureau’s census and survey programs. The

Census Bureau developed the Topologically Integrated

Geographic Encoding and Referencing (TIGER) System to

automate the geographic support processes needed to

meet the major geographic needs of the 1990 census:

producing the cartographic products to support data collection and map publication, providing the geographic

structure for tabulation and publication of the collected

data, assigning residential and employer addresses to their

geographic location and relating those locations to the

Census Bureau’s geographic units, and so forth. The

content of the TIGER data base is made available to the

public through a variety of ‘‘TIGER Extract’’ files that may

be obtained from the Data User Services Division, U.S.

Bureau of the Census, Washington, DC 20233.

UNITED STATES

The United States comprises the 50 States and the

District of Columbia. In addition, the Census Bureau treats

the outlying areas as statistical equivalents of States for

the 1990 census. The outlying areas include American

Samoa, Guam, the Northern Mariana Islands, Palau, Puerto

Rico, and the Virgin Islands.

URBAN AND RURAL

The Census Bureau defines ‘‘urban’’ for the 1990

census as comprising all territory, population, and housing

units in urbanized areas and in places of 2,500 or more

persons outside urbanized areas. More specifically, ‘‘urban’’

consists of territory, persons, and housing units in:

1. Places of 2,500 or more persons incorporated as

cities, villages, boroughs (except in Alaska and New

York), and towns (except in the six New England

States, New York, and Wisconsin), but excluding the

rural portions of ‘‘extended cities.’’

2. Census designated places of 2,500 or more persons.

3. Other territory, incorporated or unincorporated, included

in urbanized areas.

Territory, population, and housing units not classified as

urban constitute ‘‘rural.’’ In the 100-percent data products,

‘‘rural’’ is divided into ‘‘places of less than 2,500’’ and ‘‘not

in places.’’ The ‘‘not in places’’ category comprises ‘‘rural’’

outside incorporated and census designated places and

the rural portions of extended cities. In many data products, the term ‘‘other rural’’ is used; ‘‘other rural’’ is a

residual category specific to the classification of the rural in

each data product.

In the sample data products, rural population and housing units are subdivided into ‘‘rural farm’’ and ‘‘rural

nonfarm.’’ ‘‘Rural farm’’ comprises all rural households

and housing units on farms (places from which $1,000 or

more of agricultural products were sold in 1989); ‘‘rural

nonfarm’’ comprises the remaining rural.

The urban and rural classification cuts across the other

hierarchies; for example, there is generally both urban and

rural territory within both metropolitan and nonmetropolitan

areas.

In censuses prior to 1950, ‘‘urban’’ comprised all territory, persons, and housing units in incorporated places of

2,500 or more persons, and in areas (usually minor civil

divisions) classified as urban under special rules relating to

population size and density. The definition of urban that

restricted itself to incorporated places having 2,500 or

more persons excluded many large, densely settled areas

merely because they were not incorporated. Prior to the

1950 census, the Census Bureau attempted to avoid some

of the more obvious omissions by classifying selected

areas as ‘‘urban under special rules.’’ Even with these

rules, however, many large, closely built-up areas were

excluded from the urban category.

To improve its measure of urban territory, population,

and housing units, the Census Bureau adopted the concept of the urbanized area and delineated boundaries for

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unincorporated places (now, census designated places)

for the 1950 census. Urban was defined as territory,

persons, and housing units in urbanized areas and, outside

urbanized areas, in all places, incorporated or unincorporated, that had 2,500 or more persons. With the following

three exceptions, the 1950 census definition of urban has

continued substantially unchanged. First, in the 1960 census (but not in the 1970, 1980, or 1990 censuses), certain

towns in the New England States, townships in New

Jersey and Pennsylvania, and Arlington County, Virginia,

were designated as urban. However, most of these ‘‘special rule’’ areas would have been classified as urban

anyway because they were included in an urbanized area

or in an unincorporated place of 2,500 or more persons.

Second, ‘‘extended cities’’ were identified for the 1970,

1980, and 1990 censuses. Extended cities primarily affect

the figures for urban and rural territory (area), but have very

little effect on the urban and rural population and housing

units at the national and State levels— although for some

individual counties and urbanized areas, the effects have

been more evident. Third, changes since the 1970 census

in the criteria for defining urbanized areas have permitted

these areas to be defined around smaller centers.

Documentation of the urbanized area and extended city

criteria is available from the Chief, Geography Division,

U.S. Bureau of the Census, Washington, DC 20233.

Extended City

Since the 1960 census, there has been a trend in some

States toward the extension of city boundaries to include

territory that is essentially rural in character. The classification of all the population and living quarters of such

places as urban would include in the urban designation

territory, persons, and housing units whose environment is

primarily rural. For the 1970, 1980, and 1990 censuses, the

Census Bureau identified as rural such territory and its

population and housing units for each extended city whose

closely settled area was located in an urbanized area. For

the 1990 census, this classification also has been applied

to certain places outside urbanized areas.

In summary presentations by size of place, the urban

portion of an extended city is classified by the population of

the entire place; the rural portion is included in ‘‘other

rural.’’

URBANIZED AREA (UA)

The Census Bureau delineates urbanized areas (UA’s)

to provide a better separation of urban and rural territory,

population, and housing in the vicinity of large places. A UA

comprises one or more places (‘‘central place’’) and the

adjacent densely settled surrounding territory (‘‘urban fringe’’)

that together have a minimum of 50,000 persons. The

urban fringe generally consists of contiguous territory

having a density of least 1,000 persons per square mile.

The urban fringe also includes outlying territory of such

density if it was connected to the core of the contiguous

area by road and is within 1 1/ 2 road miles of that core, or

within 5 road miles of the core but separated by water or

other undevelopable territory. Other territory with a population density of fewer than 1,000 people per square mile is

included in the urban fringe if it eliminates an enclave or

closes an indentation in the boundary of the urbanized

area. The population density is determined by (1) outside

of a place, one or more contiguous census blocks with a

population density of at least 1,000 persons per square

mile or (2) inclusion of a place containing census blocks

that have at least 50 percent of the population of the place

and a density of at least 1,000 persons per square mile.

The complete criteria are available from the Chief, Geography Division, U.S. Bureau of the Census, Washington,

DC 20233.

Urbanized Area Central Place

One or more central places function as the dominant

centers of each UA. The identification of a UA central

place permits the comparison of this dominant center with

the remaining territory in the UA. There is no limit on the

number of central places, and not all central places are

necessarily included in the UA title. UA central places

include:

1. Each place entirely (or partially, if the place is an

extended city) within the UA that is a central city of a

metropolitan area (MA).

2. If the UA does not contain an MA central city or is

located outside of an MA, the central place(s) is

determined by population size.

Urbanized Area Title and Code

The title of a UA identifies those places that are most

important within the UA; it links the UA to the encompassing MA, where appropriate. If a single MA includes most of

the UA, the title and code of the UA generally are the same

as the title and code of the MA. If the UA is not mostly

included in a single MA, if it does not include any place that

is a central city of the encompassing MA, or if it is not

located in an MA, the Census Bureau uses the population

size of the included places, with a preference for incorporated places, to determine the UA title. The name of each

State in which the UA is located also is in each UA title.

The numeric code used to identify each UA is the same

as the code for the mostly encompassing MA (including

CMSA and PMSA). If MA title cities represent multiple

UA’s, or the UA title city does not correspond to the first

name of an MA title, the Census Bureau assigns a code

based on the alphabetical sequence of the UA title in

relationship to the other UA and MA titles.

VOTING DISTRICT (VTD)

A voting district (VTD) is any of a variety of types of

areas (for example, election districts, precincts, wards,

legislative districts) established by State and local governments for purposes of elections. For census purposes,

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each State participating in Phase 2 of the 1990 Census

Redistricting Data Program outlined the boundaries of

VTD’s around groups of whole census blocks on census

maps. The entities identified as VTD’s are not necessarily

those legally or currently established. Also, to meet the

‘‘whole block’’ criterion, a State may have had to adjust

VTD boundaries to nearby block boundaries. Therefore,

the VTD’s shown on the 1990 census tapes, listings, and

maps may not represent the actual VTD’s in effect at the

time of the census. In the 1980 census, VTD’s were

referred to as ‘‘election precincts.’’

Each VTD is assigned a four-character alphanumeric

code that is unique within each county. The code ‘‘ZZZZ’’

is assigned to nonparticipating areas; the Census Bureau

reports data for areas coded ‘‘ZZZZ.’’

ZIP CODE

ZIP Codes are administrative units established by the

United States Postal Service (USPS) for the distribution of

mail. ZIP Codes serve addresses for the most efficient

delivery of mail, and therefore generally do not respect

political or census statistical area boundaries. ZIP Codes

usually do not have clearly identifiable boundaries, often

serve a continually changing area, are changed periodically to meet postal requirements, and do not cover all the

land area of the United States. ZIP Codes are identified by

five-digit codes assigned by the USPS. The first three digits

identify a major city or sectional distribution center, and the

last two digits generally signify a specific post office’s

delivery area or point. For the 1990 census, ZIP Code data

are tabulated for the five-digit codes in STF 3B.

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APPENDIX B.

Definitions of Subject Characteristics

CONTENTS

POPULATION CHARACTERISTICS -------------------------- B–2

Ability to Speak English (See Language Spoken at Home and Ability

to Speak English)

Actual Hours Worked Last Week (See Employment Status)

Age ------------------------------------------------------- B–2

American Indian Tribe (See Race)

Ancestry -------------------------------------------------- B–2

Carpooling (See Journey to Work)

Children Ever Born (See Fertility)

Citizenship ------------------------------------------------ B–4

Civilian Labor Force (See Employment Status)

Class of Worker (See Industry, Occupation, and Class of Worker)

Disability (See Mobility Limitation Status, see Self-Care Limitation

Status, see Work Disability Status)

Earnings in 1989 (See Income in 1989)

Educational Attainment ------------------------------------ B–4

Employment Status ---------------------------------------- B–5

Families (See Household Type and Relationship)

Family Composition (See Household Type and Relationship)

Family Income in 1989 (See Income in 1989)

Family Size (See Household Type and Relationship)

Family Type (See Household Type and Relationship)

Farm Population (See Farm Residence under Housing Characteristics)

Fertility---------------------------------------------------- B–7

Foreign-Born Persons (See Place of Birth)

Foster Children (See Household Type and Relationship)

Group Quarters -------------------------------------------- B–7

Hispanic Origin ------------------------------------------- B–12

Household (See Household Type and Relationship)

Household Income in 1989 (See Income in 1989)

Household Language (See Language Spoken At Home and Ability

to Speak English)

Household Size (See Household Type and Relationship)

Household Type and Relationship ------------------------- B–13

Householder (See Household Type and Relationship)

Income Deficit (See Income in 1989)

Income in 1989 ------------------------------------------- B–15

Income Type in 1989 (See Income in 1989)

Industry, Occupation, and Class of Worker----------------- B–19

Institutionalized Persons (See Group Quarters)

Journey to Work------------------------------------------ B–21

Labor Force Status (See Employment Status)

Language Spoken at Home and Ability to Speak English---- B–23

Linguistic Isolation (See Language Spoken at Home and Ability

to Speak English)

Marital Status--------------------------------------------- B–25

Married Couples (See Marital Status)

Means of Transportation to Work (See Journey to Work)

Migration (See Residence in 1985)

Mobility Limitation Status --------------------------------- B–26

Nativity (See Place of Birth)

Noninstitutionalized Group Quarters (See Group Quarters)

Occupation (See Industry, Occupation, and Class of Worker)

Own Children (See Household Type and Relationship)

Per Capita Income (See Income in 1989)

Period of Military Service (See Veteran Status)

Persons in Family (See Household Type and Relationship)

Persons in Households (See Household Type and Relationship)

Place of Birth--------------------------------------------- B–26

Place of Work (See Journey to Work)

Poverty Status in 1989 ------------------------------------ B–27

Presence of Children (See Household Type and Relationship)

Private Vehicle Occupancy (See Journey to Work)

Race ----------------------------------------------------- B–28

Reference Week ------------------------------------------ B–31

Related Children (See Household Type and Relationship)

Residence in 1985 ---------------------------------------- B–32

School Enrollment and Labor Force Status----------------- B–33

School Enrollment and Type of School -------------------- B–33

Self-Care Limitation Status -------------------------------- B–34

Sex ------------------------------------------------------ B–34

Spanish Origin (See Hispanic Origin)

Stepfamily (See Household Type and Relationship)

Subfamily (See Household Type and Relationship)

Time Leaving Home to Go to Work (See Journey to Work)

Travel Time to Work (See Journey to Work)

Type of School (See School Enrollment and Type of School)

Usual Hours Worked Per Week Worked in 1989 (See Work

Status in 1989)

Veteran Status ------------------------------------------- B–34

Weeks Worked in 1989 (See Work Status in 1989)

Work Disability Status ------------------------------------ B–35

Work Status in 1989 -------------------------------------- B–35

Worker (See Employment Status, see Industry, Occupation, and Class

of Worker, see Journey to Work, see Work Status in 1989)

Workers in Family in 1989 (See Work Status in 1989)

Year of Entry --------------------------------------------- B–36

Years of Military Service (See Veteran Status)

HOUSING CHARACTERISTICS----------------------------- B–36

Acreage -------------------------------------------------- B–37

Age of Structure (See Year Structure Built)

Agricultural Sales ----------------------------------------- B–38

Bedrooms ------------------------------------------------ B–38

Boarded-Up Status --------------------------------------- B–38

Business on Property ------------------------------------- B–38

Condominium Fee ---------------------------------------- B–39

Condominium Status-------------------------------------- B–39

Congregate Housing (See Meals Included in Rent)

Contract Rent -------------------------------------------- B–39

Crop Sales (See Agricultural Sales)

Duration of Vacancy -------------------------------------- B–40

Farm Residence ------------------------------------------ B–40

Gross Rent ----------------------------------------------- B–40

Gross Rent as a Percentage of Household Income in 1989- - B–41

Homeowner Vacancy Rate (See Vacancy Status)

House Heating Fuel --------------------------------------- B–41

Housing Units (See Living Quarters)

Insurance for Fire, Hazard, and Flood---------------------- B–41

Kitchen Facilities ----------------------------------------- B–41

Living Quarters ------------------------------------------- B–36

Meals Included in Rent------------------------------------ B–41

Mobile Home Costs --------------------------------------- B–42

Months Vacant (See Duration of Vacancy)

Mortgage Payment---------------------------------------- B–42

Mortgage Status ------------------------------------------ B–42

Occupied Housing Units (See Living Quarters)

Owner-Occupied Housing Units (See Tenure)

Persons in Unit ------------------------------------------- B–43

Persons Per Room---------------------------------------- B–43

Plumbing Facilities---------------------------------------- B–43

Poverty Status of Households in 1989 --------------------- B–43

Real Estate Taxes ---------------------------------------- B–43

Rental Vacancy Rate (See Vacancy Status)

Renter-Occupied Housing Units (See Tenure)

Rooms --------------------------------------------------- B–44

Second or Junior Mortgage Payment ---------------------- B–44

Selected Monthly Owner Costs ---------------------------- B–44

Selected Monthly Owner Costs as a Percentage of

Household Income in 1989------------------------------ B–45

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CONTENTS—Con.

Sewage Disposal ----------------------------------------- B–45

Source of Water ------------------------------------------ B–45

Telephone in Housing Unit -------------------------------- B–45

Tenure --------------------------------------------------- B–46

Type of Structure (See Units in Structure)

Units in Structure ----------------------------------------- B–46

Usual Home Elsewhere------------------------------------ B–47

Utilities--------------------------------------------------- B–47

Vacancy Status ------------------------------------------- B–47

Vacant Housing Units (See Living Quarters)

Value ---------------------------------------------------- B–48

Vehicles Available ---------------------------------------- B–48

Year Householder Moved Into Unit ------------------------ B–49

Year Structure Built--------------------------------------- B–49

DERIVED MEASURES ------------------------------------- B–49

Interpolation --------------------------------------------- B–49

Mean----------------------------------------------------- B–49

Median --------------------------------------------------- B–49

Percentages, Rates, and Ratios --------------------------- B–50

Quartile -------------------------------------------------- B–50

POPULATION CHARACTERISTICS

AGE

The data on age were derived from answers to questionnaire item 5, which was asked of all persons. The age

classification is based on the age of the person in complete years as of April 1, 1990. The age response in

question 5a was used normally to represent a person’s

age. However, when the age response was unacceptable

or unavailable, a person’s age was derived from an acceptable year-of-birth response in question 5b.

Data on age are used to determine the applicability of

other questions for a person and to classify other characteristics in census tabulations. Age data are needed to

interpret most social and economic characteristics used to

plan and examine many programs and policies. Therefore,

age is tabulated by single years of age and by many

different groupings, such as 5-year age groups.

Some tabulations are shown by the age of the householder. These data were derived from the age responses

for each householder. (For more information on householder, see the discussion under ‘‘Household Type and

Relationship.’’)

Median Age—This measure divides the age distribution

into two equal parts: one-half of the cases falling below the

median value and one-half above the value. Generally,

median age is computed on the basis of more detailed age

intervals than are shown in some census publications;

thus, a median based on a less detailed distribution may

differ slightly from a corresponding median for the same

population based on a more detailed distribution. (For

more information on medians, see the discussion under

‘‘Derived Measures.’’)

Limitation of the Data—Counts in 1970 and 1980 for

persons 100 years old and over were substantially overstated. Improvements were made in the questionnaire

design, in the allocation procedures, and to the respondent

instruction guide to attempt to minimize this problem for

the 1990 census.

Review of detailed 1990 census information indicated

that respondents tended to provide their age as of the date

of completion of the questionnaire, not their age as of April

1, 1990. In addition, there may have been a tendency for

respondents to round their age up if they were close to

having a birthday. It is likely that approximately 10 percent

of persons in most age groups are actually 1 year younger.

For most single years of age, the misstatements are

largely offsetting. The problem is most pronounced at

age 0 because persons lost to age 1 may not have been

fully offset by the inclusion of babies born after April 1,

1990, and because there may have been more rounding

up to age 1 to avoid reporting age as 0 years. (Age in

complete months was not collected for infants under

age 1.)

The reporting of age 1 year older than age on April 1,

1990, is likely to have been greater in areas where the

census data were collected later in 1990. The magnitude

of this problem was much less in the three previous

censuses where age was typically derived from respondent data on year of birth and quarter of birth. (For more

information on the design of the age question, see the

section below that discusses ‘‘Comparability.’’)

Comparability—Age data have been collected in every

census. For the first time since 1950, the 1990 data are not

available by quarter year of age. This change was made so

that coded information could be obtained for both age and

year of birth. In each census since 1940, the age of a

person was assigned when it was not reported. In censuses before 1940, with the exception of 1880, persons of

unknown age were shown as a separate category. Since

1960, assignment of unknown age has been performed by

a general procedure described as ‘‘imputation.’’ The specific procedures for imputing age have been different in

each census. (For more information on imputation, see

Appendix C, Accuracy of the Data.)

ANCESTRY

The data on ancestry were derived from answers to

questionnaire item 13, which was asked of a sample of

persons. The question was based on self-identification; the

data on ancestry represent self-classification by people

according to the ancestry group(s) with which they most

closely identify. Ancestry refers to a person’s ethnic origin

or descent, ‘‘roots,’’ or heritage or the place of birth of the

person or the person’s parents or ancestors before their

arrival in the United States. Some ethnic identities, such as

‘‘Egyptian’’ or ‘‘Polish’’ can be traced to geographic areas

outside the United States, while other ethnicities such as

‘‘Pennsylvania Dutch’’ or ‘‘Cajun’’ evolved in the United

States.

The intent of the ancestry question was not to measure

the degree of attachment the respondent had to a particular ethnicity. For example, a response of ‘‘Irish’’ might

reflect total involvement in an ‘‘Irish’’ community or only a

memory of ancestors several generations removed from

the individual.

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The Census Bureau coded the responses through an

automated review, edit, and coding operation. The openended write-in ancestry item was coded by subject-matter

specialists into a numeric representation using a code list

containing over 1,000 categories. The 1990 code list

reflects the results of the Census Bureau’s own research

and consultations with many ethnic experts. Many decisions were made to determine the classification of responses.

These decisions affected the grouping of the tabulated

data. For example, the ‘‘Assyrian’’ category includes both

responses of ‘‘Assyrian’’ and ‘‘Chaldean.’’

The ancestry question allowed respondents to report

one or more ancestry groups. While a large number of

respondents listed a single ancestry, the majority of answers

included more than one ethnic entry. Generally, only the

first two responses reported were coded in 1990. If a

response was in terms of a dual ancestry, for example,

Irish-English, the person was assigned two codes, in this

case one for Irish and another for English.

However, in certain cases, multiple responses such as

‘‘French Canadian,’’ ‘‘Scotch-Irish,’’ ‘‘Greek Cypriote,’’ and

‘‘Black Dutch’’ were assigned a single code reflecting their

status as unique groups. If a person reported one of these

unique groups in addition to another group, for example,

‘‘Scotch-Irish English,’’ resulting in three terms, that person received one code for the unique group (‘‘ScotchIrish’’) and another one for the remaining group (‘‘English’’).

If a person reported ‘‘English Irish French,’’ only English

and Irish were coded. Certain combinations of ancestries

where the ancestry group is a part of another, such as

‘‘German-Bavarian,’’ the responses were coded as a single ancestry using the smaller group (‘‘Bavarian’’). Also,

responses such as ‘‘Polish-American’’ or ‘‘Italian-American’’

were coded and tabulated as a single entry (‘‘Polish’’ or

‘‘Italian’’).

The Census Bureau accepted ‘‘American’’ as a unique

ethnicity if it was given alone, with an ambiguous response,

or with State names. If the respondent listed any other

ethnic identity such as ‘‘Italian American,’’ generally the

‘‘American’’ portion of the response was not coded. However, distinct groups such as ‘‘American Indian,’’ ‘‘Mexican

American,’’ and ‘‘African American’’ were coded and identified separately because they represented groups who

considered themselves different from those who reported

as ‘‘Indian,’’ ‘‘Mexican,’’ or ‘‘African,’’ respectively.

In all tabulations, when respondents provided an unacceptable ethnic identity (for example, an uncodeable or

unintelligible response such as ‘‘multi-national,’’ ‘‘adopted,’’

or ‘‘I have no idea’’), the answer was included in ‘‘Ancestry

not reported.’’

The tabulations on ancestry are presented using two

types of data presentations—one used total persons as

the base, and the other used total responses as the base.

The following are categories shown in the two data presentations:

Presentation Based on Persons:

Single Ancestries Reported—Includes all persons

who reported only one ethnic group. Included in this

category are persons with multiple-term responses

such as ‘‘Scotch-Irish’’ who are assigned a single

code.

Multiple Ancestries Reported—Includes all persons

who reported more than one group and were assigned

two ancestry codes.

Ancestry Unclassified—Includes all persons who provided a response that could not be assigned an

ancestry code because they provided nonsensical

entries or religious responses.

Presentations Based on Responses:

Total Ancestries Reported—Includes the total number of ancestries reported and coded. If a person

reported a multiple ancestry such as ‘‘French Danish,’’ that response was counted twice in the tabulations—once in the ‘‘French’’ category and again in

the ‘‘Danish’’ category. Thus, the sum of the counts

in this type of presentation is not the total population

but the total of all responses.

First Ancestry Reported—Includes the first response

of all persons who reported at least one codeable

entry. For example, in this category, the count for

‘‘Danish’’ would include all those who reported only

Danish and those who reported Danish first and then

some other group.

Second Ancestry Reported—Includes the second

response of all persons who reported a multiple

ancestry. Thus, the count for ‘‘Danish’’ in this category includes all persons who reported Danish as the

second response, regardless of the first response

provided.

The Census Bureau identified hundreds of ethnic groups

in the 1990 census. However, it was impossible to show

information for every group in all census tabulations because

of space constraints. Publications such as the 1990 CP-2,

Social and Economic Characteristics and the 1990 CPH-3,

Population and Housing Characteristics for Census Tracts

and Block Numbering Areas reports show a limited number

of groups based on the number reported and the advice

received from experts. A more complete distribution of

groups is presented in the 1990 Summary Tape File 4,

supplementary reports, and a special subject report on

ancestry. In addition, groups identified specifically in the

questions on race and Hispanic origin (for example, Japanese, Laotian, Mexican, Cuban, and Spaniard), in general,

are not shown separately in ancestry tabulations.

Limitation of the Data—Although some experts consider

religious affiliation a component of ethnic identity, the

ancestry question was not designed to collect any information concerning religion. The Bureau of the Census is

prohibited from collecting information on religion. Thus, if a

religion was given as an answer to the ancestry question,

it was coded as an ‘‘Other’’ response.

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Comparability—A question on ancestry was first asked in

the 1980 census. Although there were no comparable data

prior to the 1980 census, related information on ethnicity

was collected through questions on parental birthplace,

own birthplace, and language which were included in

previous censuses. Unlike other census questions, there

was no imputation for nonresponse to the ancestry question.

In 1990, respondents were allowed to report more than

one ancestry group; however, only the first two ancestry

groups identified were coded. In 1980, the Census Bureau

attempted to code a third ancestry for selected tripleancestry responses.

New categories such as ‘‘Arab’’ and ‘‘West Indian’’

were added to the 1990 question to meet important data

needs. The ‘‘West Indian’’ category excluded ‘‘Hispanic’’

groups such as ‘‘Puerto Rican’’ and ‘‘Cuban’’ that were

identified primarily through the question on Hispanic origin.

In 1990, the ancestry group, ‘‘American’’ is recognized and

tabulated as a unique ethnicity. In 1980, ‘‘American’’ was

tabulated but included under the category ‘‘Ancestry not

specified.’’

A major improvement in the 1990 census was the use of

an automated coding system for ancestry responses. The

automated coding system used in the 1990 census greatly

reduced the potential for error associated with a clerical

review. Specialists with a thorough knowledge of the

subject matter reviewed, edited, coded, and resolved

inconsistent or incomplete responses.

CITIZENSHIP

The data on citizenship were derived from answers to

questionnaire item 9, which was asked of a sample of

persons.

Citizen—Persons who indicated that they were nativeborn and foreign-born persons who indicated that they

have become naturalized. (For more information on native

and foreign born, see the discussion under ‘‘Place of

Birth.’’)

There are four categories of citizenship: (1) born in the

United States, (2) born in Puerto Rico, Guam, the Virgin

Islands of the United States, or the Commonwealth of the

Northern Mariana Islands, (3) born abroad of American

parents, and (4) citizen by naturalization.

Naturalized Citizen—Foreign-born persons who had

completed the naturalization process at the time of

the census and upon whom the rights of citizenship

had been conferred.

Not a Citizen—Foreign-born persons who were not citizens, including persons who had begun but not completed

the naturalization process at the time of the census.

Limitation of the Data—Evaluation studies completed

after previous censuses indicated that some persons may

have reported themselves as citizens although they had

not yet attained the status.

Comparability—Similar questions on citizenship were asked

in the censuses of 1820, 1830, 1870, 1890 through 1950,

1970, and 1980. The 1980 question was asked of a sample

of the foreign-born population. In 1990, both native and

foreign-born persons who received the long-form questionnaire were asked to respond to the citizenship question.

EDUCATIONAL ATTAINMENT

Data on educational attainment were derived from

answers to questionnaire item 12, which was asked of a

sample of persons. Data are tabulated as attainment for

persons 15 years old and over. Persons are classified

according to the highest level of school completed or the

highest degree received. The question included instructions to report the level of the previous grade attended or

the highest degree received for persons currently enrolled

in school. The question included response categories

which allowed persons to report completing the 12th grade

without receiving a high school diploma, and which instructed

respondents to report as ‘‘high school graduate(s)’’—persons who received either a high school diploma or the

equivalent, for example, passed the Test of General

Educational Development (G.E.D.), and did not attend

college. (On the Military Census Report questionnaire, the

lowest response category was ‘‘Less than 9th grade.’’)

Instructions included in the 1990 respondent instruction

guide, which was mailed with the census questionnaire,

further specified that schooling completed in foreign or

ungraded school systems should be reported as the

equivalent level of schooling in the regular American

system; that vocational certificates or diplomas from vocational, trade, or business schools or colleges were not to

be reported unless they were college level degrees; and

that honorary degrees were not to be reported. The

instructions gave ‘‘medicine, dentistry, chiropractic, optometry, osteopathic medicine, pharmacy, podiatry, veterinary

medicine, law, and theology’’ as examples of professional

school degrees, and specifically excluded ‘‘barber school,

cosmetology, or other training for a specific trade’’ from

the professional school category. The order in which they

were listed suggested that doctorate degrees were ‘‘higher’’

than professional school degrees, which were ‘‘higher’’

than master’s degrees.

Persons who did not report educational attainment were

assigned the attainment of a person of the same age, race

or Spanish origin, and sex who resided in the same or a

nearby area. Persons who filled more than one circle were

edited to the highest level or degree reported.

High School Graduate or Higher—Includes persons

whose highest degree was a high school diploma or

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its equivalent, persons who attended college or professional school, and persons who received a college, university, or professional degree. Persons who

reported completing the 12th grade but not receiving

a diploma are not included.

Not Enrolled, Not High School Graduate—Includes

persons of compulsory school attendance age or

above who were not enrolled in school and were not

high school graduates; these persons may be taken

to be ‘‘high school dropouts.’’ There is no restriction

on when they ‘‘dropped out’’ of school, and they may

have never attended high school.

In prior censuses, ‘‘Median school years completed’’

was used as a summary measure of educational attainment. In 1990, the median can only be calculated for

groups of which less than half the members have attended

college. ‘‘Percent high school graduate or higher’’ and

‘‘Percent bachelor’s degree or higher’’ are summary measures which can be calculated from the present data and

offer quite readily interpretable measures of differences

between population subgroups. To make comparisons

over time, ‘‘Percent high school graduate or higher’’ can be

calculated and ‘‘Percent bachelor’s degree or higher’’ can

be approximated with data from previous censuses.

Comparability—From 1840 to 1930, the census measured educational attainment by means of a basic literacy

question. In 1940, a single question was asked on highest

grade of school completed. In the censuses of 1950

through 1980, a two-part question asking highest grade of

school attended and whether that grade was finished was

used to construct highest grade or year of school completed. For persons who have not attended college, the

response categories in the 1990 educational attainment

question should produce data which are comparable to

data on highest grade completed from earlier censuses.

The response categories for persons who have attended

college were modified from earlier censuses because

there was some ambiguity in interpreting responses in

terms of the number of years of college completed. For

instance, it was not clear whether ‘‘completed the fourth

year of college,’’ ‘‘completed the senior year of college,’’

and ‘‘college graduate’’ were synonymous. Research conducted shortly before the census suggests that these

terms were more distinct in 1990 than in earlier decades,

and this change may have threatened the ability to estimate the number of ‘‘college graduates’’ from the number

of persons reported as having completed the fourth or a

higher year of college. It was even more difficult to make

inferences about post-baccalaureate degrees and ‘‘Associate’’ degrees from highest year of college completed.

Thus, comparisons of post-secondary educational attainment in this and earlier censuses should be made with

great caution.

In the 1960 and subsequent censuses, persons for

whom educational attainment was not reported were assigned

the same attainment level as a similar person whose

residence was in the same or a nearby area. In the 1940

and 1950 censuses, persons for whom educational attainment was not reported were not allocated.

EMPLOYMENT STATUS

The data on employment status were derived from

answers to questionnaire items 21, 25, and 26, which were

asked of a sample of persons. The series of questions on

employment status was asked of all persons 15 years old

and over and was designed to identify, in this sequence:

(1) persons who worked at any time during the reference

week; (2) persons who did not work during the reference

week but who had jobs or businesses from which they

were temporarily absent (excluding layoff); (3) persons on

layoff; and (4) persons who did not work during the

reference week, but who were looking for work during the

last four weeks and were available for work during the

reference week. (For more information, see the discussion

under ‘‘Reference Week.’’)

The employment status data shown in this and other

1990 census tabulations relate to persons 16 years old

and over. Some tabulations showing employment status,

however, include persons 15 years old. By definition, these

persons are classified as ‘‘Not in Labor Force.’’. In the

1940, 1950, and 1960 censuses, employment status data

were presented for persons 14 years old and over. The

change in the universe was made in 1970 to agree with the

official measurement of the labor force as revised in

January 1967 by the U.S. Department of Labor. The 1970

census was the last to show employment data for persons

14 and 15 years old.

Employed—All civilians 16 years old and over who were

either (1) ‘‘at work’’—those who did any work at all during

the reference week as paid employees, worked in their

own business or profession, worked on their own farm, or

worked 15 hours or more as unpaid workers on a family

farm or in a family business; or (2) were ‘‘with a job but not

at work’’—those who did not work during the reference

week but had jobs or businesses from which they were

temporarily absent due to illness, bad weather, industrial

dispute, vacation, or other personal reasons. Excluded

from the employed are persons whose only activity consisted of work around the house or unpaid volunteer work

for religious, charitable, and similar organizations; also

excluded are persons on active duty in the United States

Armed Forces.

Unemployed—All civilians 16 years old and over are

classified as unemployed if they (1) were neither ‘‘at work’’

nor ‘‘with a job but not at work’’ during the reference week,

and (2) were looking for work during the last 4 weeks, and

(3) were available to accept a job. Also included as

unemployed are civilians who did not work at all during the

reference week and were waiting to be called back to a job

from which they had been laid off. Examples of job seeking

activities are:

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• Registering at a public or private employment office

• Meeting with prospective employers

• Investigating possibilities for starting a professional

practice or opening a business

• Placing or answering advertisements

• Writing letters of application

• Being on a union or professional register

Civilian Labor Force—Consists of persons classified as

employed or unemployed in accordance with the criteria

described above.

Experienced Unemployed—These are unemployed persons who have worked at any time in the past.

Experienced Civilian Labor Force—Consists of the employed

and the experienced unemployed.

Labor Force—All persons classified in the civilian labor

force plus members of the U.S. Armed Forces (persons on

active duty with the United States Army, Air Force, Navy,

Marine Corps, or Coast Guard).

Not in Labor Force—All persons 16 years old and over

who are not classified as members of the labor force. This

category consists mainly of students, housewives, retired

workers, seasonal workers enumerated in an off season

who were not looking for work, institutionalized persons,

and persons doing only incidental unpaid family work (less

than 15 hours during the reference week).

Worker—This term appears in connection with several

subjects: journey-to-work items, class of worker, weeks

worked in 1989, and number of workers in family in 1989.

Its meaning varies and, therefore, should be determined in

each case by referring to the definition of the subject in

which it appears.

Actual Hours Worked Last Week—All persons who

reported working during the reference week were asked to

report in questionnaire item 21b the number of hours that

they worked. The statistics on hours worked pertain to the

number of hours actually worked at all jobs, and do not

necessarily reflect the number of hours typically or usually

worked or the scheduled number of hours. The concept of

‘‘actual hours’’ differs from that of ‘‘usual hours’’ described

below. The number of persons who worked only a small

number of hours is probably understated since such persons sometimes consider themselves as not working.

Respondents were asked to include overtime or extra

hours worked, but to exclude lunch hours, sick leave, and

vacation leave.

Limitation of the Data—The census may understate the

number of employed persons because persons who have

irregular, casual, or unstructured jobs sometimes report

themselves as not working. The number of employed

persons ‘‘at work’’ is probably overstated in the census

(and conversely, the number of employed ‘‘with a job, but

not at work’’ is understated) since some persons on

vacation or sick leave erroneously reported themselves as

working. This problem has no effect on the total number of

employed persons. The reference week for the employment data is not the same for all persons. Since persons

can change their employment status from one week to

another, the lack of a uniform reference week may mean

that the employment data do not reflect the reality of the

employment situation of any given week. (For more information, see the discussion under ‘‘Reference Week.’’)

Comparability—The questionnaire items and employment

status concepts for the 1990 census are essentially the

same as those used in the 1980 and 1970 censuses.

However, these concepts differ in many respects from

those associated with the 1950 and 1960 censuses.

Since employment data from the census are obtained

from respondents in households, they differ from statistics

based on reports from individual business establishments,

farm enterprises, and certain government programs. Persons employed at more than one job are counted only

once in the census and are classified according to the job

at which they worked the greatest number of hours during

the reference week. In statistics based on reports from

business and farm establishments, persons who work for

more than one establishment may be counted more than

once. Moreover, some tabulations may exclude private

household workers, unpaid family workers, and self-employed

persons, but may include workers less than 16 years of

age.

An additional difference in the data arises from the fact

that persons who had a job but were not at work are

included with the employed in the census statistics, whereas

many of these persons are likely to be excluded from

employment figures based on establishment payroll reports.

Furthermore, the employment status data in census tabulations include persons on the basis of place of residence

regardless of where they work, whereas establishment

data report persons at their place of work regardless of

where they live. This latter consideration is particularly

significant when comparing data for workers who commute

between areas.

Census data on actual hours worked during the reference week may differ from data from other sources. The

census measures hours actually worked, whereas some

surveys measure hours paid for by employers. Comparability of census actual hours worked data may also be

affected by the nature of the reference week (see ‘‘Reference Week’’).

For several reasons, the unemployment figures of the

Census Bureau are not comparable with published figures

on unemployment compensation claims. For example,

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figures on unemployment compensation claims exclude

persons who have exhausted their benefit rights, new

workers who have not earned rights to unemployment

insurance, and persons losing jobs not covered by unemployment insurance systems (including some workers in

agriculture, domestic services, and religious organizations,

and self-employed and unpaid family workers). In addition,

the qualifications for drawing unemployment compensation differ from the definition of unemployment used by the

Census Bureau. Persons working only a few hours during

the week and persons with a job but not at work are

sometimes eligible for unemployment compensation but

are classified as ‘‘Employed’’ in the census. Differences in

the geographical distribution of unemployment data arise

because the place where claims are filed may not necessarily be the same as the place of residence of the

unemployed worker.

The figures on employment status from the decennial

census are generally comparable with similar data collected in the Current Population Survey. However, some

difference may exist because of variations in enumeration

and processing techniques.

FERTILITY

The data on fertility (also referred to as ‘‘children ever

born’’) were derived from answers to questionnaire item

20, which was asked of a sample of women 15 years old

and over regardless of marital status. Stillbirths, stepchildren, and adopted children were excluded from the number of children ever born. Ever-married women were

instructed to include all children born to them before and

during their most recent marriage, children no longer living,

and children away from home, as well as children who

were still living in the home. Never-married women were

instructed to include all children born to them.

Data are most frequently presented in terms of the

aggregate number of children ever born to women in the

specified category and in terms of the rate per 1,000

women. For purposes of calculating the aggregate, the

open-ended response category, ‘‘12 or more’’ is assigned

a value of 13.

Limitation of the Data—Although the data are assumed

to be less complete for out-of-wedlock births than for births

occurring within marriage, comparisons of 1980 census

data on the fertility of single women with other census

sources and administrative records indicate that no significant differences were found between different data sources;

that is, 1980 census data on children ever born to single

women were complete with no significant understatements

of childbearing.

Comparability—The wording of the question on children

ever born was the same in 1990 as in 1980. In 1970,

however, the question on children ever born was asked of

all ever-married women but only of never-married women

who received self-administered questionnaires. Therefore,

rates and numbers of children ever born to single women

in 1970 may be understated. Data presented for children

ever born to ever-married women are comparable for the

1990 census and all previous censuses containing this

question.

GROUP QUARTERS

All persons not living in households are classified by the

Census Bureau as living in group quarters. Two general

categories of persons in group quarters are recognized:

(1) institutionalized persons and (2) other persons in group

quarters (also referred to as ‘‘noninstitutional group quarters’’).

Institutionalized Persons—Includes persons under formally authorized, supervised care or custody in institutions

at the time of enumeration. Such persons are classified as

‘‘patients or inmates’’ of an institution regardless of the

availability of nursing or medical care, the length of stay, or

the number of persons in the institution. Generally, institutionalized persons are restricted to the institutional buildings and grounds (or must have passes or escorts to

leave) and thus have limited interaction with the surrounding community. Also, they are generally under the care of

trained staff who have responsibility for their safekeeping

and supervision.

Type of Institution—The type of institution was determined as part of census enumeration activities. For institutions which specialize in only one specific type of service, all patients or inmates were given the same classification.

For institutions which had multiple types of major services

(usually general hospitals and Veterans’ Administration

hospitals), patients were classified according to selected

types of wards. For example, in psychiatric wards of

hospitals, patients were classified in ‘‘mental (psychiatric)

hospitals’’; in hospital wards for persons with chronic

diseases, patients were classified in ‘‘hospitals for the

chronically ill.’’ Each patient or inmate was classified in

only one type of institution. Institutions include the following types:

Correctional Institutions—Includes prisons, Federal detention centers, military stockades and jails, police lockups,

halfway houses, local jails, and other confinement facilities, including work farms.

Prisons—Where persons convicted of crimes serve

their sentences. In some census products, the prisons are classified by two types of control:

(1) ‘‘Federal’’ (operated by the Bureau of Prisons of

the Department of Justice) and (2) ‘‘State.’’ Residents who are criminally insane were classified on

the basis of where they resided at the time of

enumeration: (1) in institutions (or hospital wards)

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operated by departments of correction or similar

agencies; or (2) in institutions operated by departments of mental health or similar agencies.

Federal Detention Centers—Operated by the Immigration and Naturalization Service (INS) and the

Bureau of Prisons. These facilities include detention

centers used by the Park Police; Bureau of Indian

Affairs Detention Centers; INS Centers, such as the

INS Federal Alien Detention Facility; INS Processing

Centers; and INS Contract Detention Centers used to

detain aliens under exclusion or deportation proceedings, as well as those aliens who have not been

placed into proceedings, such as custodial required

departures; and INS Detention Centers operated

within local jails, and State and Federal prisons.

Military Stockades, Jails—Operated by military police

and used to hold persons awaiting trial or convicted

of violating military laws.

Local Jails and Other Confinement Facilities—Includes facilities operated by counties and cities that

primarily hold persons beyond arraignment, usually

for more than 48 hours. Also included in this category

are work farms used to hold persons awaiting trial or

serving time on relatively short sentences and jails

run by private businesses under contract for local

governments (but not by State governments).

Police Lockups—Temporary-holding facilities operated by county and city police that hold persons for

48 hours or less only if they have not been formally

charged in court.

Halfway Houses—Operated for correctional purposes

and include probation and restitution centers, prerelease centers, and community-residential centers.

Other Types of Correctional Institutions—Privately

operated correctional facilities and correctional facilities specifically for alcohol/ drug abuse.

Nursing Homes—Comprises a heterogeneous group of

places. The majority of patients are elderly, although

persons who require nursing care because of chronic

physical conditions may be found in these homes

regardless of their age. Included in this category are

skilled-nursing facilities, intermediate-care facilities, longterm care rooms in wards or buildings on the grounds of

hospitals, or long-term care rooms/ nursing wings in

congregate housing facilities. Also included are nursing,

convalescent, and rest homes, such as soldiers’, sailors’, veterans’, and fraternal or religious homes for the

aged, with or without nursing care. In some census

products, nursing homes are classified by type of ownership as ‘‘Federal,’’ ‘‘State,’’ ‘‘Private not-for-profit,’’

and ‘‘Private for profit.’’

Mental (Psychiatric) Hospitals—Includes hospitals or

wards for the criminally insane not operated by a prison,

and psychiatric wards of general hospitals and veterans’

hospitals. Patients receive supervised medical/ nursing

care from formally-trained staff. In some census products, mental hospitals are classified by type of ownership as ‘‘Federal,’’ ‘‘State or local,’’ ‘‘Private,’’ and

‘‘Ownership not known.’’

Hospitals for Chronically Ill—Includes hospitals for patients

who require long-term care, including those in military

hospitals and wards for the chronically ill located on

military bases; or other hospitals or wards for the

chronically ill, which include tuberculosis hospitals or

wards, wards in general and Veterans’ Administration

hospitals for the chronically ill, neurological wards,

hospices, wards for patients with Hansen’s Disease

(leprosy) and other incurable diseases, and other unspecified wards for the chronically ill. Patients who had no

usual home elsewhere were enumerated as part of the

institutional population in the wards of general and

military hospitals. Most hospital patients are at the

hospital temporarily and were enumerated at their usual

place of residence. (For more information, see ‘‘Wards

in General and Military Hospitals for Patients Who Have

No Usual Home Elsewhere.’’)

Schools, Hospitals, or Wards for the Mentally Retarded—Includes those institutions such as wards in hospitals for the mentally retarded, and intermediate-care

facilities for the mentally retarded that provide supervised medical/ nursing care from formally-trained staff.

In some census products, this category is classified by

type of ownership as ‘‘Federal,’’ ‘‘State or local,’’ ‘‘Private,’’ and ‘‘Ownership not known.’’

Schools, Hospitals, or Wards for the Physically Handicapped—Includes three types of institutions: institutions

for the blind, those for the deaf, and orthopedic wards

and institutions for the physically handicapped. Institutions for persons with speech problems are classified

with ‘‘institutions for the deaf.’’ The category ‘‘orthopedic wards and institutions for the physically handicapped’’ includes those institutions providing relatively

long-term care to accident victims, and to persons with

polio, cerebral palsy, and muscular dystrophy. In some

census products, this category is classified by type of

ownership as ‘‘Public,’’ ‘‘Private,’’ and ‘‘Ownership not

known.’’

Hospitals, and Wards for Drug/ Alcohol Abuse—Includes

hospitals, and hospital wards in psychiatric and general

hospitals. These facilities are equipped medically and

designed for the diagnosis and treatment of medical or

psychiatric illnesses associated with alcohol or drug

abuse. Patients receive supervised medical care from

formally-trained staff.

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Wards in General and Military Hospitals for Patients

Who Have No Usual Home Elsewhere—Includes maternity, neonatal, pediatric (including wards for boarder

babies), military, and surgical wards of hospitals, and

wards for persons with infectious diseases.

Juvenile Institutions—Includes homes, schools, and other

institutions providing care for children (short- or longterm care). Juvenile institutions include the following

types:

Homes for Abused, Dependent, and Neglected Children—Includes orphanages and other institutions

which provide long-term care (usually more than 30

days) for children. This category is classified in some

census products by type of ownership as ‘‘Public’’

and ‘‘Private.’’

Residential Treatment Centers—Includes those institutions which primarily serve children who, by clinical

diagnosis, are moderately or seriously disturbed emotionally. Also, these institutions provide long-term

treatment services, usually supervised or directed by

a psychiatrist.

Training Schools for Juvenile Delinquents—Includes

residential training schools or homes, and industrial

schools, camps, or farms for juvenile delinquents.

Public Training Schools for Juvenile Delinquents—

Usually operated by a State agency (for example,

department of welfare, corrections, or a youth

authority). Some are operated by county and city

governments. These public training schools are

specialized institutions serving delinquent children,

generally between the ages of 10 and 17 years

old, all of whom are committed by the courts.

Private Training Schools—Operated under private

auspices. Some of the children they serve are

committed by the courts as delinquents. Others

are referred by parents or social agencies because

of delinquent behavior. One difference between

private and public training schools is that, by their

administrative policy, private schools have control

over their selection and intake.

Detention Centers—Includes institutions providing shortterm care (usually 30 days or less) primarily for

delinquent children pending disposition of their cases

by a court. This category also covers diagnostic

centers. In practice, such institutions may be caring

for both delinquent and neglected children pending

court disposition.

Other Persons in Group Quarters (also referred to as

‘‘noninstitutional group quarters’’)—Includes all persons who live in group quarters other than institutions.

Persons who live in the following living quarters are

classified as ‘‘other persons in group quarters’’ when there

are 10 or more unrelated persons living in the unit;

otherwise, these living quarters are classified as housing

units.

Rooming Houses—Includes persons residing in rooming and boarding houses and living in quarters with 10 or

more unrelated persons.

Group Homes—Includes ‘‘community-based homes’’

that provide care and supportive services. Such places

include homes for the mentally ill, mentally retarded,

and physically handicapped; drug/ alcohol halfway houses;

communes; and maternity homes for unwed mothers.

Homes for the Mentally Ill—Includes communitybased homes that provide care primarily for the

mentally ill. In some data products, this category is

classified by type of ownership as ‘‘Federal,’’ ‘‘State,’’

‘‘Private,’’ and ‘‘Ownership not known.’’ Homes which

combine treatment of the physically handicapped

with treatment of the mentally ill are counted as

homes for the mentally ill.

Homes for the Mentally Retarded—Includes communitybased homes that provide care primarily for the

mentally retarded. Homes which combine treatment

of the physically handicapped with treatment of the

mentally retarded are counted as homes for the

mentally retarded. This category is classified by type

of ownership in some census products, as ‘‘Federal,’’

‘‘State,’’ ‘‘Private,’’ or ‘‘Ownership not known.’’

Homes for the Physically Handicapped—Includes

community-based homes for the blind, for the deaf,

and other community-based homes for the physically

handicapped. Persons with speech problems are

classified with homes for the deaf. In some census

products, this category is classified by type of ownership as ‘‘Public,’’ ‘‘Private,’’ or ‘‘Ownership not

known.’’

Homes or Halfway Houses for Drug/ Alcohol Abuse—Includes persons with no usual home elsewhere in

places that provide community-based care and supportive services to persons suffering from a drug/ alcohol addiction and to recovering alcoholics and drug

abusers. Places providing community-based care for

drug and alcohol abusers include group homes,

detoxification centers, quarterway houses (residential treatment facilities that work closely with accredited hospitals), halfway houses, and recovery homes

for ambulatory, mentally competent recovering alcoholics and drug abusers who may be re-entering the

work force.

Maternity Homes for Unwed Mothers—Includes persons with no usual home elsewhere in places that

provide domestic care for unwed mothers and their

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children. These homes may provide social services

and post-natal care within the facility, or may make

arrangements for women to receive such services in

the community. Nursing services are usually available

in the facility.

Other Group Homes—Includes persons with no usual

home elsewhere in communes, foster care homes,

and job corps centers with 10 or more unrelated

persons. These types of places provide communal

living quarters, generally for persons who have formed

their own community in which they have common

interests and often share or own property jointly.

Religious Group Quarters—Includes, primarily, group

quarters for nuns teaching in parochial schools and for

priests living in rectories. It also includes other convents

and monasteries, except those associated with a general hospital or an institution.

College Quarters Off Campus—Includes privately-owned

rooming and boarding houses off campus, if the place is

reserved exclusively for occupancy by college students

and if there are 10 or more unrelated persons. In census

products, persons in this category are classified as living

in a college dormitory.

Persons residing in certain other types of living arrangements are classified as living in ‘‘noninstitutional group

quarters’’ regardless of the number of people sharing the

unit. These include persons residing in the following types

of group quarters:

College Dormitories—Includes college students in dormitories (provided the dormitory is restricted to students

who do not have their families living with them), fraternity and sorority houses, and on-campus residential

quarters used exclusively for those in religious orders

who are attending college. Students in privately-owned

rooming and boarding houses off campus are also

included, if the place is reserved exclusively for occupancy by college-level students and if there are 10 or

more unrelated persons.

Military Quarters—Includes military personnel living in

barracks and dormitories on base, in transient quarters

on base for temporary residents (both civilian and

military), and on military ships. However, patients in

military hospitals receiving treatment for chronic diseases or who had no usual home elsewhere, and

persons being held in military stockades were included

as part of the institutional population.

Agriculture Workers’ Dormitories—Includes persons in

migratory farm workers’ camps on farms, bunkhouses

for ranch hands, and other dormitories on farms, such

as those on ‘‘tree farms.’’

Other Workers’ Dormitories—Includes persons in logging camps, construction workers’ camps, firehouse

dormitories, job-training camps, energy enclaves (Alaska

only), and nonfarm migratory workers’ camps (for example, workers in mineral and mining camps).

Emergency Shelters for Homeless Persons (with sleeping facilities) and Visible in Street Locations—Includes

persons enumerated during the ‘‘Shelter-and-StreetNight’’ operation primarily on March 20-21, 1990. Enumerators were instructed not to ask if a person was

‘‘homeless.’’ If a person was at one of the locations

below on March 20-21, the person was counted as

described below. (For more information on the ‘‘Shelterand-Street-Night’’ operation, see Appendix D, Collection and Processing Procedures.) This category is divided

into four classifications:

Emergency Shelters for Homeless Persons (with

sleeping facilities)—Includes persons who stayed

overnight on March 20, 1990, in permanent and

temporary emergency housing, missions, hotels/ motels, and flophouses charging $12 or less (excluding

taxes) per night; Salvation Army shelters, hotels, and

motels used entirely for homeless persons regardless of the nightly rate charged; rooms in hotels and

motels used partially for the homeless; and similar

places known to have persons who have no usual

home elsewhere staying overnight. If not shown

separately, shelters and group homes that provide

temporary sleeping facilities for runaway, neglected,

and homeless children are included in this category

in data products.

Shelters for Runaway, Neglected, and Homeless

Children—Includes shelters/ group homes which provide temporary sleeping facilities for juveniles.

Visible in Street Locations—Includes street blocks

and open public locations designated before

March 20, 1990, by city and community officials as

places where the homeless congregate at night. All

persons found at predesignated street sites from 2

a.m. to 4 a.m. and leaving abandoned or boarded-up

buildings from 4 a.m. to 8 a.m. on March 21, 1990,

were enumerated during ‘‘street’’ enumeration, except

persons in uniform such as police and persons

engaged in obvious money-making activities other

than begging or panhandling. Enumerators were

instructed not to ask if a person was ‘‘homeless.’’

This cannot be considered a complete count of all

persons living on the streets because those who

were so well hidden that local people did not know

where to find them were likely to have been missed

as were persons moving about or in places not

identified by local officials. It is also possible that

persons with homes could have been included in the

count of ‘‘visible in street locations’’ if they were

present when the enumerator did the enumeration of

a particular block.

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Predesignated street sites include street corners,

parks, bridges, persons emerging from abandoned

and boarded-up buildings, noncommercial campsites

(tent cities), all-night movie theaters, all-night restaurants, emergency hospital waiting rooms, train stations, airports, bus depots, and subway stations.

Shelters for Abused Women (Shelters Against Domestic Violence or Family Crisis Centers)—Includes

community-based homes or shelters that provide

domiciliary care for women who have sought shelter

from family violence and who may have been physically abused. Most shelters also provide care for

children of abused women. These shelters may provide social services, meals, psychiatric treatment,

and counseling. In some census products, ‘‘shelters

for abused women’’ are included in the category

‘‘other noninstitutional group quarters.’’

Dormitories for Nurses and Interns in General and

Military Hospitals—Includes group quarters for nurses

and other staff members. It excludes patients.

Crews of Maritime Vessels—Includes officers, crew

members, and passengers of maritime U.S. flag vessels. All ocean-going and Great Lakes ships are included.

Staff Residents of Institutions—Includes staff residing in

group quarters on institutional grounds who provide

formally-authorized, supervised care or custody for the

institutionalized population.

Other Nonhousehold Living Situations—Includes persons with no usual home elsewhere enumerated during

transient or ‘‘T-Night’’ enumeration at YMCA’s, YWCA’s,

youth hostels, commercial and government-run campgrounds, campgrounds at racetracks, fairs, and carnivals, and similar transient sites.

Living Quarters for Victims of Natural Disasters—Includes living quarters for persons temporarily displaced

by natural disasters.

Limitation of the Data—Two types of errors can occur in

the classification of ‘‘types of group quarters’’:

1. Misclassification of Group Quarters—During the 1990

Special Place Prelist operation, the enumerator determined the type of group quarters associated with each

special place in their assignment. The enumerator

used the Alphabetical Group Quarters Code List and

Index to the Alphabetical Group Quarters Code List to

assign a two-digit code number followed by either an

‘‘I,’’ for institutional, or an ‘‘N,’’ for noninstitutional to

each group quarters. In 1990, unacceptable group

quarter codes were edited. (For more information on

editing of unacceptable data, see Appendix C, Accuracy of the Data.)

2. No Classification (unknowns)—The imputation rate for

type of institution was higher in 1980 (23.5 percent)

than in 1970 (3.3 percent). Improvements were made

to the 1990 Alphabetical Group Quarters Code List;

that is, the inclusion of more group quarters categories

and an ‘‘Index to the Alphabetical Group Quarters

Code List.’’ (For more information on the allocation

rates for Type of Institution, see the allocation rates in

1990 CP-1, General Population Characteristics.)

In previous censuses, allocation rates for demographic

characteristics (such as age, sex, race, and marital status)

of the institutional population were similar to those for the

total population. The allocation rates for sample characteristics such as school enrollment, highest grade completed, income, and veteran status for the institutional and

noninstitutional group quarters population have been substantially higher than the population in households at least

as far back as the 1960 census. The data, however, have

historically presented a reasonable picture of the institutional and noninstitutional group quarters population.

Shelter and Street Night (S-Night)—For the 1990 census

‘‘Shelter-and-Street-Night’’ operation, persons well hidden, moving about, or in locations enumerators did not visit

were likely to be missed. The number of people missed will

never be known; thus, the 1990 census cannot be considered to include a definitive count of America’s total homeless population. It does, however, give an idea of relative

differences among areas of the country. Other components were counted as part of regular census procedures.

The count of persons in shelters and visible on the

street could have been affected by many factors. How

much the factors affected the count can never be answered

definitively, but some elements include:

1. How well enumerators were trained and how well they

followed procedures.

2. How well the list of shelter and street locations given

to the Census Bureau by the local government reflected

the actual places that homeless persons stay at night.

3. Cities were encouraged to open temporary shelters for

census night, and many did that and actively encouraged people to enter the shelters. Thus, people who

may have been on the street otherwise were in

shelters the night of March 20, so that the ratio of

shelter-to-street population could be different than

usual.

4. The weather, which was unusually cold in some parts

of the country, could affect how likely people were to

seek emergency shelter or to be more hidden than

usual if they stayed outdoors.

5. The media occasionally interfered with the ability to do

the count.

6. How homeless people perceived the census and

whether they wanted to be counted or feared the

census and hid from it.

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The Census Bureau conducted two assessments of

Shelter and Street Night: (1) the quality of the lists of

shelters used for the Shelter-and-Street-Night operation,

and (2) how well procedures were followed by censustakers for the street count in parts of five cities (Chicago,

Los Angeles, New Orleans, New York, and Phoenix).

Information about these two assessments is available from

the Chief, Center for Survey Methods Research, Bureau of

the Census, Washington, DC 20233.

Comparability—For the 1990 census, the definition of

institutionalized persons was revised so that the definition

of ‘‘care’’ only includes persons under organized medical

or formally-authorized, supervised care or custody. As a

result of this change to the institutional definition, maternity

homes are classified as noninstitutional rather than institutional group quarters as in previous censuses. The

following types of other group quarters are classified as

institutional rather than noninstitutional group quarters:

‘‘halfway houses (operated for correctional purposes)’’

and ‘‘wards in general and military hospitals for patients

who have no usual home elsewhere,’’ which includes

maternity, neonatal, pediatric, military, and surgical wards

of hospitals, other-purpose wards of hospitals, and wards

for infectious diseases. These changes should not significantly affect the comparability of data with earlier censuses because of the relatively small number of persons

involved.

As in 1980, 10 or more unrelated persons living together

were classified as living in noninstitutional group quarters.

In 1970, the criteria was six or more unrelated persons.

Several changes also have occurred in the identification

of specific types of group quarters. For the first time, the

1990 census identifies separately the following types of

correctional institutions: persons in halfway houses (operated for correctional purposes), military stockades and

jails, and police lockups. In 1990, tuberculosis hospitals or

wards are included with hospitals for the chronically ill; in

1980, they were shown separately. For 1990, the noninstitutional group quarters category, ‘‘Group homes’’ is further

classified as: group homes for drug/ alcohol abuse; maternity homes (for unwed mothers), group homes for the

mentally ill, group homes for the mentally retarded, and

group homes for the physically handicapped. Persons

living in communes, foster-care homes, and job corps

centers are classified with ‘‘Other group homes’’ only if 10

or more unrelated persons share the unit; otherwise, they

are classified as housing units.

In 1990, workers’ dormitories were classified as group

quarters regardless of the number of persons sharing the

dorm. In 1980, 10 or more unrelated persons had to share

the dorm for it to be classified as a group quarters. In 1960,

data on persons in military barracks were shown only for

men. In subsequent censuses, they include both men and

women.

In 1990 census data products, the phrase ‘‘inmates of

institutions’’ was changed to ‘‘institutionalized persons.’’

Also, persons living in noninstitutional group quarters were

referred to as ‘‘other persons in group quarters,’’ and the

phrase ‘‘staff residents’’ was used for staff living in institutions.

In 1990, there are additional institutional categories and

noninstitutional group quarters categories compared with

the 1980 census. The institutional categories added include

‘‘hospitals and wards for drug/ alcohol abuse’’ and ‘‘military hospitals for the chronically ill.’’ The noninstitutional

group quarters categories added include emergency shelters for homeless persons; shelters for runaway, neglected,

and homeless children; shelters for abused women; and

visible-in-street locations. Each of these noninstitutional

group quarters categories was enumerated on March

20-21, 1990, during the ‘‘Shelter-and-Street-Night’’ operation. (For more information on the ‘‘Shelter-and-StreetNight’’ operation, see Appendix D, Collection and Processing Procedures.)

HISPANIC ORIGIN

The data on Spanish/ Hispanic origin were derived from

answers to questionnaire item 7, which was asked of all

persons. Persons of Hispanic origin are those who classified themselves in one of the specific Hispanic origin

categories listed on the questionnaire—‘‘Mexican,’’ ‘‘Puerto

Rican,’’ or ‘‘Cuban’’—as well as those who indicated that

they were of ‘‘other Spanish/ Hispanic’’ origin. Persons of

‘‘Other Spanish/ Hispanic’’ origin are those whose origins

are from Spain, the Spanish-speaking countries of Central

or South America, or the Dominican Republic, or they are

persons of Hispanic origin identifying themselves generally

as Spanish, Spanish-American, Hispanic, Hispano, Latino,

and so on. Write-in responses to the ‘‘other Spanish/ Hispanic’’ category were coded only for sample data.

Origin can be viewed as the ancestry, nationality group,

lineage, or country of birth of the person or the person’s

parents or ancestors before their arrival in the United

States. Persons of Hispanic origin may be of any race.

Some tabulations are shown by the Hispanic origin of

the householder. In all cases where households, families,

or occupied housing units are classified by Hispanic origin,

the Hispanic origin of the householder is used. (See the

discussion of householder under ‘‘Household Type and

Relationship.’’)

During direct interviews conducted by enumerators, if a

person could not provide a single origin response, he or

she was asked to select, based on self-identification, the

group which best described his or her origin or descent. If

a person could not provide a single group, the origin of the

person’s mother was used. If a single group could not be

provided for the person’s mother, the first origin reported

by the person was used.

If any household member failed to respond to the

Spanish/ Hispanic origin question, a response was assigned

by the computer according to the reported entries of other

household members by using specific rules of precedence

of household relationship. In the processing of sample

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questionnaires, responses to other questions on the questionnaire, such as ancestry and place of birth, were used to

assign an origin before any reference was made to the

origin reported by other household members. If an origin

was not entered for any household member, an origin was

assigned from another household according to the race of

the householder. This procedure is a variation of the

general imputation process described in Appendix C, Accuracy of the Data.

Comparability—There may be differences between the

total Hispanic origin population based on 100-percent

tabulations and sample tabulations. Such differences are

the result of sampling variability, nonsampling error, and

more extensive edit procedures for the Spanish/ Hispanic

origin item on the sample questionnaires. (For more information on sampling variability and nonsampling error, see

Appendix C, Accuracy of the Data.)

The 1990 data on Hispanic origin are generally comparable with those for the 1980 census. However, there are

some differences in the format of the Hispanic origin

question between the two censuses. For 1990, the word

‘‘descent’’ was deleted from the 1980 wording. In addition,

the term ‘‘Mexican-Amer.’’ used in 1980 was shortened

further to ‘‘Mexican-Am.’’ to reduce misreporting (of ‘‘American’’) in this category detected in the 1980 census. Finally,

the 1990 question allowed those who reported as ‘‘other

Spanish/ Hispanic’’ to write in their specific Hispanic origin

group.

Misreporting in the ‘‘Mexican-Amer.’’ category of the

1980 census item on Spanish/ Hispanic origin may affect

the comparability of 1980 and 1990 census data for

persons of Hispanic origin for certain areas of the country.

An evaluation of the 1980 census item on Spanish/ Hispanic origin indicated that there was misreporting in the

Mexican origin category by White and Black persons in

certain areas. The study results showed evidence that the

misreporting occurred in the South (excluding Texas), the

Northeast (excluding the New York City area), and a few

States in the Midwest Region. Also, results based on

available data suggest that the impact of possible misreporting of Mexican origin in the 1980 census was severe in

those portions of the above-mentioned regions where the

Hispanic origin population was generally sparse. However,

national 1980 census data on the Mexican origin population or total Hispanic origin population at the national level

was not seriously affected by the reporting problem. (For a

more detailed discussion of the evaluation of the 1980

census Spanish/ Hispanic origin item, see the 1980 census

Supplementary Reports.)

The 1990 and 1980 census data on the Hispanic

population are not directly comparable with 1970 Spanish

origin data because of a number of factors: (1) overall

improvements in the 1980 and 1990 censuses, (2) better

coverage of the population, (3) improved question designs,

and (4) an effective public relations campaign by the

Census Bureau with the assistance of national and community ethnic groups.

Specific changes in question design between the 1980

and 1970 censuses included the placement of the category ‘‘No, not Spanish/ Hispanic’’ as the first category in

that question. (The corresponding category appeared last

in the 1970 question.) Also, the 1970 category ‘‘Central or

South American’’ was deleted because in 1970 some

respondents misinterpreted the category; furthermore, the

designations ‘‘Mexican-American’’ and ‘‘Chicano’’ were

added to the Spanish/ Hispanic origin question in 1980. In

the 1970 census, the question on Spanish origin was

asked of only a 5-percent sample of the population.

HOUSEHOLD TYPE AND RELATIONSHIP

Household

A household includes all the persons who occupy a

housing unit. A housing unit is a house, an apartment, a

mobile home, a group of rooms, or a single room that is

occupied (or if vacant, is intended for occupancy) as

separate living quarters. Separate living quarters are those

in which the occupants live and eat separately from any

other persons in the building and which have direct access

from the outside of the building or through a common hall.

The occupants may be a single family, one person living

alone, two or more families living together, or any other

group of related or unrelated persons who share living

arrangements.

In 100-percent tabulations, the count of households or

householders always equals the count of occupied housing units. In sample tabulations, the numbers may differ as

a result of the weighting process.

Persons Per Household—A measure obtained by dividing the number of persons in households by the number of

households (or householders). In cases where persons in

households are cross-classified by race or Hispanic origin,

persons in the household are classified by the race or

Hispanic origin of the householder rather than the race or

Hispanic origin of each individual.

Relationship to Householder

Householder—The data on relationship to householder

were derived from answers to questionnaire item 2, which

was asked of all persons in housing units. One person in

each household is designated as the householder. In most

cases, this is the person, or one of the persons, in whose

name the home is owned, being bought, or rented and who

is listed in column 1 of the census questionnaire. If there is

no such person in the household, any adult household

member 15 years old and over could be designated as the

householder.

Households are classified by type according to the sex

of the householder and the presence of relatives. Two

types of householders are distinguished: a family householder and a nonfamily householder. A family householder

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is a householder living with one or more persons related to

him or her by birth, marriage, or adoption. The householder

and all persons in the household related to him or her are

family members. A nonfamily householder is a householder living alone or with nonrelatives only.

Spouse—Includes a person married to and living with a

householder. This category includes persons in formal

marriages, as well as persons in common-law marriages.

The number of spouses is equal to the number of

‘‘married-couple families’’ or ‘‘married-couple households’’

in 100-percent tabulations. The number of spouses, however, is generally less than half of the number of ‘‘married

persons with spouse present’’ in sample tabulations, since

more than one married couple can live in a household, but

only spouses of householders are specifically identified as

‘‘spouse.’’ For sample tabulations, the number of ‘‘married

persons with spouse present’’ includes married-couple

subfamilies and married-couple families.

Child—Includes a son or daughter by birth, a stepchild, or

adopted child of the householder, regardless of the child’s

age or marital status. The category excludes sons-in-law,

daughters-in-law, and foster children.

Natural-Born or Adopted Son/ Daughter—A son or daughter of the householder by birth, regardless of the age of

the child. Also, this category includes sons or daughters

of the householder by legal adoption, regardless of the

age of the child. If the stepson/ stepdaughter of the

householder has been legally adopted by the householder, the child is still classified as a stepchild.

Stepson/ Stepdaughter—A son or daughter of the householder through marriage but not by birth, regardless of

the age of the child. If the stepson/ stepdaughter of the

householder has been legally adopted by the householder, the child is still classified as a stepchild.

Own Child—A never-married child under 18 years who

is a son or daughter by birth, a stepchild, or an adopted

child of the householder. In certain tabulations, own

children are further classified as living with two parents

or with one parent only. Own children of the householder living with two parents are by definition found

only in married-couple families.

In a subfamily, an ‘‘own child’’ is a never-married

child under 18 years of age who is a son, daughter,

stepchild, or an adopted child of a mother in a motherchild subfamily, a father in a father-child subfamily, or

either spouse in a married-couple subfamily.

‘‘Related children’’ in a family include own children and

all other persons under 18 years of age in the household,

regardless of marital status, who are related to the householder, except the spouse of the householder. Foster

children are not included since they are not related to the

householder.

Other Relatives—In tabulations, includes any household

member related to the householder by birth, marriage, or

adoption, but not included specifically in another relationship category. In certain detailed tabulations, the following

categories may be shown:

Grandchild—The grandson or granddaughter of the

householder.

Brother/ Sister—The brother or sister of the householder, including stepbrothers, stepsisters, and brothers

and sisters by adoption. Brothers-in-law and sisters-inlaw are included in the ‘‘Other relative’’ category on the

questionnaire.

Parent—The father or mother of the householder, including a stepparent or adoptive parent. Fathers-in-law and

mothers-in-law are included in the ‘‘Other relative’’

category on the questionnaire.

Other Relatives—Anyone not listed in a reported category above who is related to the householder by birth,

marriage, or adoption (brother-in-law, grandparent, nephew,

aunt, mother-in-law, daughter-in-law, cousin, and so

forth).

Nonrelatives—Includes any household member, including

foster children not related to the householder by birth,

marriage, or adoption. The following categories may be

presented in more detailed tabulations:

Roomer, Boarder, or Foster Child—Roomer, boarder,

lodger, and foster children or foster adults of the

householder.

Housemate or Roommate—A person who is not related

to the householder and who shares living quarters

primarily in order to share expenses.

Unmarried Partner—A person who is not related to the

householder, who shares living quarters, and who has a

close personal relationship with the householder.

Other Nonrelatives—A person who is not related by

birth, marriage, or adoption to the householder and who

is not described by the categories given above.

When relationship is not reported for an individual, it is

imputed according to the responses for age, sex, and

marital status for that person while maintaining consistency with responses for other individuals in the household. (For more information on imputation, see Appendix

C, Accuracy of the Data.)

Unrelated Individual

An unrelated individual is: (1) a householder living alone

or with nonrelatives only, (2) a household member who is

not related to the householder, or (3) a person living in

group quarters who is not an inmate of an institution.

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Family Type

A family consists of a householder and one or more

other persons living in the same household who are

related to the householder by birth, marriage, or adoption.

All persons in a household who are related to the householder are regarded as members of his or her family. A

household can contain only one family for purposes of

census tabulations. Not all households contain families

since a household may comprise a group of unrelated

persons or one person living alone.

Families are classified by type as either a ‘‘marriedcouple family’’ or ‘‘other family’’ according to the sex of the

householder and the presence of relatives. The data on

family type are based on answers to questions on sex and

relationship which were asked on a 100-percent basis.

Married-Couple Family—A family in which the householder and his or her spouse are enumerated as members of the same household.

Other Family:

Male Householder, No Wife Present—A family with a

male householder and no spouse of householder present.

Female Householder, No Husband Present—A family

with a female householder and no spouse of householder present.

Persons Per Family—A measure obtained by dividing the

number of persons in families by the total number of

families (or family householders). In cases where the

measure, ‘‘persons in family’’ or ‘‘persons per family’’ are

cross-tabulated by race or Hispanic origin, the race or

Hispanic origin refers to the householder rather than the

race or Hispanic origin of each individual.

Subfamily

A subfamily is a married couple (husband and wife

enumerated as members of the same household) with or

without never-married children under 18 years old, or one

parent with one or more never-married children under 18

years old, living in a household and related to, but not

including, either the householder or the householder’s

spouse. The number of subfamilies is not included in the

count of families, since subfamily members are counted as

part of the householder’s family.

Subfamilies are defined during processing of sample

data. In selected tabulations, subfamilies are further classified by type: married-couple subfamilies, with or without

own children; mother-child subfamilies; and father-child

subfamilies.

Lone parents include people maintaining either oneparent families or one-parent subfamilies. Married couples

include husbands and wives in both married-couple families and married-couple subfamilies.

Unmarried-Partner Household

An unmarried-partner household is a household other

than a ‘‘married-couple household’’ that includes a householder and an ‘‘unmarried partner.’’ An ‘‘unmarried partner’’ can be of the same sex or of the opposite sex of the

householder. An ‘‘unmarried partner’’ in an ‘‘unmarriedpartner household’’ is an adult who is unrelated to the

householder, but shares living quarters and has a close

personal relationship with the householder.

Unmarried-Couple Household

An unmarried-couple household is composed of two

unrelated adults of the opposite sex (one of whom is the

householder) who share a housing unit with or without the

presence of children under 15 years old.

Foster Children

Foster children are nonrelatives of the householder and

are included in the category, ‘‘Roomer, boarder, or foster

child’’ on the questionnaire. Foster children are identified

as persons under 18 years old and living in households

that have no nonrelatives 18 years old and over (who might

be parents of the nonrelatives under 18 years old).

Stepfamily

A stepfamily is a ‘‘married-couple family’’ with at least

one stepchild of the householder present, where the

householder is the husband.

Comparability—The 1990 definition of a household is the

same as that used in 1980. The 1980 relationship category

‘‘Son/ daughter’’ has been replaced by two categories,

‘‘Natural-born or adopted son/ daughter’’ and ‘‘Stepson/

stepdaughter.’’ ‘‘Grandchild’’ has been added as a separate category. The 1980 nonrelative categories: ‘‘Roomer,

boarder’’ and ‘‘Partner, roommate’’ have been replaced by

the categories ‘‘Roomer, boarder, or foster child,’’ ‘‘Housemate, roommate,’’ and ‘‘Unmarried partner.’’ The 1980

nonrelative category ‘‘Paid employee’’ has been dropped.

INCOME IN 1989

The data on income in 1989 were derived from answers

to questionnaire items 32 and 33. Information on money

income received in the calendar year 1989 was requested

from persons 15 years old and over. ‘‘Total income’’ is the

algebraic sum of the amounts reported separately for

wage or salary income; net nonfarm self-employment

income; net farm self-employment income; interest, dividend, or net rental or royalty income; Social Security or

railroad retirement income; public assistance or welfare

income; retirement or disability income; and all other

income. ‘‘Earnings’’ is defined as the algebraic sum of

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wage or salary income and net income from farm and

nonfarm self-employment. ‘‘Earnings’’ represent the amount

of income received regularly before deductions for personal income taxes, Social Security, bond purchases,

union dues, medicare deductions, etc.

Receipts from the following sources are not included as

income: money received from the sale of property (unless

the recipient was engaged in the business of selling such

property); the value of income ‘‘in kind’’ from food stamps,

public housing subsidies, medical care, employer contributions for persons, etc.; withdrawal of bank deposits; money

borrowed; tax refunds; exchange of money between relatives living in the same household; gifts and lump-sum

inheritances, insurance payments, and other types of

lump-sum receipts.

Income Type in 1989

The eight types of income reported in the census are

defined as follows:

1. Wage or Salary Income—Includes total money earnings received for work performed as an employee

during the calendar year 1989. It includes wages,

salary, Armed Forces pay, commissions, tips, piecerate payments, and cash bonuses earned before

deductions were made for taxes, bonds, pensions,

union dues, etc.

2. Nonfarm Self-Employment Income—Includes net money

income (gross receipts minus expenses) from one’s

own business, professional enterprise, or partnership.

Gross receipts include the value of all goods sold and

services rendered. Expenses includes costs of goods

purchased, rent, heat, light, power, depreciation charges,

wages and salaries paid, business taxes (not personal

income taxes), etc.

3. Farm Self-Employment Income—Includes net money

income (gross receipts minus operating expenses)

from the operation of a farm by a person on his or her

own account, as an owner, renter, or sharecropper.

Gross receipts include the value of all products sold,

government farm programs, money received from the

rental of farm equipment to others, and incidental

receipts from the sale of wood, sand, gravel, etc.

Operating expenses include cost of feed, fertilizer,

seed, and other farming supplies, cash wages paid to

farmhands, depreciation charges, cash rent, interest

on farm mortgages, farm building repairs, farm taxes

(not State and Federal personal income taxes), etc.

The value of fuel, food, or other farm products used for

family living is not included as part of net income.

4. Interest, Dividend, or Net Rental Income—Includes

interest on savings or bonds, dividends from stockholdings or membership in associations, net income

from rental of property to others and receipts from

boarders or lodgers, net royalties, and periodic payments from an estate or trust fund.

5. Social Security Income—Includes Social Security pensions and survivors benefits and permanent disability

insurance payments made by the Social Security

Administration prior to deductions for medical insurance, and railroad retirement insurance checks from

the U.S. Government. Medicare reimbursements are

not included.

6. Public Assistance Income—Includes: (1) supplementary security income payments made by Federal or

State welfare agencies to low income persons who are

aged (65 years old or over), blind, or disabled; (2) aid

to families with dependent children, and (3) general

assistance. Separate payments received for hospital

or other medical care (vendor payments) are excluded

from this item.

7. Retirement or Disability Income—Includes: (1) retirement pensions and survivor benefits from a former

employer, labor union, or Federal, State, county, or

other governmental agency; (2) disability income from

sources such as worker’s compensation; companies

or unions; Federal, State, or local government; and the

U.S. military; (3) periodic receipts from annuities and

insurance; and (4) regular income from IRA and KEOGH

plans.

8. All Other Income—Includes unemployment compensation, Veterans Administration (VA) payments, alimony and child support, contributions received periodically from persons not living in the household, military

family allotments, net gambling winnings, and other

kinds of periodic income other than earnings.

Income of Households—Includes the income of the

householder and all other persons 15 years old and over in

the household, whether related to the householder or not.

Because many households consist of only one person,

average household income is usually less than average

family income.

Income of Families and Persons—In compiling statistics

on family income, the incomes of all members 15 years old

and over in each family are summed and treated as a

single amount. However, for persons 15 years old and

over, the total amounts of their own incomes are used.

Although the income statistics covered the calendar year

1989, the characteristics of persons and the composition

of families refer to the time of enumeration (April 1990).

Thus, the income of the family does not include amounts

received by persons who were members of the family

during all or part of the calendar year 1989 if these persons

no longer resided with the family at the time of enumeration. Yet, family income amounts reported by related

persons who did not reside with the family during 1989 but

who were members of the family at the time of enumeration are included. However, the composition of most

families was the same during 1989 as in April 1990.

Median Income—The median divides the income distribution into two equal parts, one having incomes above the

median and the other having incomes below the median.

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For households and families, the median income is based

on the distribution of the total number of units including

those with no income. The median for persons is based on

persons with income. The median income values for all

households, families, and persons are computed on the

basis of more detailed income intervals than shown in

most tabulations. Median household or family income

figures of $50,000 or less are calculated using linear

interpolation. For persons, corresponding median values

of $40,000 or less are also computed using linear interpolation. All other median income amounts are derived

through Pareto interpolation. (For more information on

medians and interpolation, see the discussion under ‘‘Derived

Measures.’’)

Mean Income—This is the amount obtained by dividing

the total income of a particular statistical universe by the

number of units in that universe. Thus, mean household

income is obtained by dividing total household income by

the total number of households. For the various types of

income the means are based on households having those

types of income. ‘‘Per capita income’’ is the mean income

computed for every man, woman, and child in a particular

group. It is derived by dividing the total income of a

particular group by the total population in that group.

Care should be exercised in using and interpreting mean

income values for small subgroups of the population.

Because the mean is influenced strongly by extreme

values in the distribution, it is especially susceptible to the

effects of sampling variability, misreporting, and processing errors. The median, which is not affected by extreme

values, is, therefore, a better measure than the mean when

the population base is small. The mean, nevertheless, is

shown in some data products for most small subgroups

because, when weighted according to the number of

cases, the means can be added to obtained summary

measures for areas and groups other than those shown in

census tabulations.

Limitation of the Data—Since questionnaire entries for

income frequently are based on memory and not on

records, many persons tended to forget minor or irregular

sources of income and, therefore, underreport their income.

Underreporting tends to be more pronounced for income

sources that are not derived from earnings, such as Social

Security, public assistance, or from interest, dividends, and

net rental income.

There are errors of reporting due to the misunderstanding of the income questions such as reporting gross rather

than net dollar amounts for the two questions on net

self-employment income, which resulted in an overstatement of these items. Another common error is the reporting of identical dollar amounts in two of the eight type of

income items where a respondent with only one source of

income assumed that the second amount should be

entered to represent total income. Such instances of

overreporting had an impact on the level of mean nonfarm

or farm self-employment income and mean total income

published for the various geographical subdivisions of the

State.

Extensive computer editing procedures were instituted

in the data processing operation to reduce some of these

reporting errors and to improve the accuracy of the income

data. These procedures corrected various reporting deficiencies and improved the consistency of reported income

items associated with work experience and information on

occupation and class of worker. For example, if persons

reported they were self-employed on their own farm, not

incorporated, but had reported wage and salary earnings

only, the latter amount was shifted to net farm selfemployment income. Also, if any respondent reported total

income only, the amount was generally assigned to one of

the type of income items according to responses to the

work experience and class-of-worker questions. Another

type of problem involved nonreporting of income data.

Where income information was not reported, procedures

were devised to impute appropriate values with either no

income or positive or negative dollar amounts for the

missing entries. (For more information on imputation, see

Appendix C, Accuracy of the Data.)

In income tabulations for households and families, the

lowest income group (e.g., less than $5,000) includes units

that were classified as having no 1989 income. Many of

these were living on income ‘‘in kind,’’ savings, or gifts,

were newly created families, or families in which the sole

breadwinner had recently died or left the household.

However, many of the households and families who reported

no income probably had some money income which was

not recorded in the census.

The income data presented in the tabulations covers

money income only. The fact that many farm families

receive an important part of their income in the form of

‘‘free’’ housing and goods produced and consumed on the

farm rather than in money should be taken into consideration in comparing the income of farm and nonfarm

residents. Nonmoney income such as business expense

accounts, use of business transportation and facilities, or

partial compensation by business for medical and educational expenses was also received by some nonfarm

residents. Many low income families also receive income

‘‘in kind’’ from public welfare programs. In comparing

income data for 1989 with earlier years, it should be noted

that an increase or decrease in money income does not

necessarily represent a comparable change in real income,

unless adjustments for changes in prices are made.

Comparability—The income data collected in the 1980

and 1970 censuses are similar to the 1990 census data,

but there are variations in the detail of the questions. In

1980, income information for 1979 was collected from

persons in approximately 19 percent of all housing units

and group quarters. Each person was required to report:

• Wage or salary income

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• Net nonfarm self-employment income

• Net farm self-employment income

• Interest, dividend, or net rental or royalty income

• Social Security income

• Public assistance income

• Income from all other sources

Between the 1980 and 1990 censuses, there were

minor differences in the processing of the data. In both

censuses, all persons with missing values in one or more

of the detailed type of income items and total income were

designated as allocated. Each missing entry was imputed

either as a ‘‘no’’ or as a dollar amount. If total income was

reported and one or more of the type of income fields was

not answered, then the entry in total income generally was

assigned to one of the income types according to the

socioeconomic characteristics of the income recipient.

This person was designated as unallocated.

In 1980 and 1990, all nonrespondents with income not

reported (whether heads of households or other persons)

were assigned the reported income of persons with similar

characteristics. (For more information on imputation, see

Appendix C, ‘‘Accuracy of the Data.’’)

There was a difference in the method of computer

derivation of aggregate income from individual amounts

between the two census processing operations. In the

1980 census, income amounts less than $100,000 were

coded in tens of dollars, and amounts of $100,000 or more

were coded in thousands of dollars; $5 was added to each

amount coded in tens of dollars and $500 to each amount

coded in thousands of dollars. Entries of $999,000 or more

were treated as $999,500 and losses of $9,999 or more

were treated as minus $9,999. In the 1990 census, income

amounts less than $999,999 were keyed in dollars. Amounts

of $999,999 or more were treated as $999,999 and losses

of $9,999 or more were treated as minus $9,999 in all of

the computer derivations of aggregate income.

In 1970, information on income in 1969 was obtained

from all members in every fifth housing unit and small

group quarters (less than 15 persons) and every fifth

person in all other group quarters. Each person was

required to report:

• Wage or salary income

• Net nonfarm self-employment income

• Net farm self-employment income

• Social Security or Railroad Retirement

• Public assistance or welfare payments

• Income from all other sources

If a person reported a dollar amount in wage or salary,

net nonfarm self-employment income, or net farm selfemployment income, the person was considered as unallocated only if no further dollar amounts were imputed for

any additional missing entries.

In 1960, data on income were obtained from all members in every fourth housing unit and from every fourth

person 14 years old and over living in group quarters. Each

person was required to report wage or salary income, net

self-employment income, and income other than earnings

received in 1959. An assumption was made in the editing

process that no other type of income was received by a

person who reported the receipt of either wage and salary

income or self-employment but who had failed to report the

receipt of other money income.

For several reasons, the income data shown in census

tabulations are not directly comparable with those that

may be obtained from statistical summaries of income tax

returns. Income, as defined for Federal tax purposes,

differs somewhat from the Census Bureau concept. Moreover, the coverage of income tax statistics is different

because of the exemptions of persons having small amounts

of income and the inclusion of net capital gains in tax

returns. Furthermore, members of some families file separate returns and others file joint returns; consequently,

the income reporting unit is not consistently either a family

or a person.

The earnings data shown in census tabulations are not

directly comparable with earnings records of the Social

Security Administration. The earnings record data for 1989

excluded the earnings of most civilian government employees, some employees of nonprofit organizations, workers

covered by the Railroad Retirement Act, and persons not

covered by the program because of insufficient earnings.

Furthermore, earnings received from any one employer in

excess of $48,000 in 1989 are not covered by earnings

records. Finally, because census data are obtained from

household questionnaires, they may differ from Social

Security Administration earnings record data, which are

based upon employers’ reports and the Federal income

tax returns of self-employed persons.

The Bureau of Economic Analysis (BEA) of the Department of Commerce publishes annual data on aggregate

and per-capita personal income received by the population

for States, metropolitan areas, and selected counties.

Aggregate income estimates based on the income statistics shown in census products usually would be less than

those shown in the BEA income series for several reasons.

The Census Bureau data are obtained directly from households, whereas the BEA income series is estimated largely

on the basis of data from administrative records of business and governmental sources. Moreover, the definitions

of income are different. The BEA income series includes

some items not included in the income data shown in

census publications, such as income ‘‘in kind,’’ income

received by nonprofit institutions, the value of services of

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banks and other financial intermediaries rendered to persons without the assessment of specific charges, Medicare payments, and the income of persons who died or

emigrated prior to April 1, 1990. On the other hand, the

census income data include contributions for support

received from persons not residing in the same household

and employer contributions for social insurance.

INDUSTRY, OCCUPATION, AND CLASS OF

WORKER

The data on industry, occupation, and class of worker

were derived from answers to questionnaire items 28, 29,

and 30 respectively. These questions were asked of a

sample of persons. Information on industry relates to the

kind of business conducted by a person’s employing

organization; occupation describes the kind of work the

person does on the job.

For employed persons, the data refer to the person’s

job during the reference week. For those who worked at

two or more jobs, the data refer to the job at which the

person worked the greatest number of hours. For unemployed persons, the data refer to their last job. The industry

and occupation statistics are derived from the detailed

classification systems developed for the 1990 census as

described below. The Classified Index of Industries and

Occupations provided additional information on the industry and occupation classification systems.

Respondents provided the data for the tabulations by

writing on the questionnaires descriptions of their industry

and occupation. These descriptions were keyed and passed

through automated coding software which assigned a

portion of the written entries to categories in the classification system. The automated system assigned codes to

59 percent of the industry entries and 38 percent of the

occupation entries.

Those cases not coded by the computer were referred

to clerical staff in the Census Bureau’s Kansas City

processing office for coding. The clerical staff converted

the written questionnaire descriptions to codes by comparing these descriptions to entries in the Alphabetical Index

of Industries and Occupations. For the industry code,

these coders also referred to an Employer Name List

(formerly called Company Name List). This list, prepared

from the Standard Statistical Establishment List developed

by the Census Bureau for the economic censuses and

surveys, contained the names of business establishments

and their Standard Industrial Classification (SIC) codes

converted to population census equivalents. This list facilitated coding and maintained industrial classification comparability.

Industry

The industry classification system developed for the

1990 census consists of 236 categories for employed

persons, classified into 13 major industry groups. Since

1940, the industrial classification has been based on the

Standard Industrial Classification Manual (SIC). The 1990

census classification was developed from the 1987 SIC

published by the Office of Management and Budget,

Executive Office of the President.

The SIC was designed primarily to classify establishments by the type of industrial activity in which they were

engaged. However, census data, which were collected

from households, differ in detail and nature from those

obtained from establishment surveys. Therefore, the census classification systems, while defined in SIC terms,

cannot reflect the full detail in all categories. There are

several levels of industrial classification found in census

products. For example, the 1990 CP-2, Social and Economic Characteristics report includes 41 unique industrial

categories, while the 1990 Summary Tape File 4 (STF 4)

presents 72 categories.

Occupation

The occupational classification system developed for

the 1990 census consists of 501 specific occupational

categories for employed persons arranged into 6 summary

and 13 major occupational groups. This classification was

developed to be consistent with the Standard Occupational Classification (SOC) Manual: 1980, published by the

Office of Federal Statistical Policy and Standards, U.S.

Department of Commerce. Tabulations with occupation as

the primary characteristic present several levels of occupational detail. The most detailed tabulations are shown in

a special 1990 subject report and tape files on occupation.

These products contain all 500 occupational categories

plus industry or class of worker subgroupings of occupational categories.

Some occupation groups are related closely to certain

industries. Operators of transportation equipment, farm

operators and workers, and private household workers

account for major portions of their respective industries of

transportation, agriculture, and private households. However, the industry categories include persons in other

occupations. For example, persons employed in agriculture include truck drivers and bookkeepers; persons employed

in the transportation industry include mechanics, freight

handlers, and payroll clerks; and persons employed in the

private household industry include occupations such as

chauffeur, gardener, and secretary.

Class of Worker

The data on class of worker were derived from answers

to questionnaire item 30. The information on class of

worker refers to the same job as a respondent’s industry

and occupation and categorizes persons according to the

type of ownership of the employing organization. The class

of worker categories are defined as follows:

Private Wage and Salary Workers—Includes persons

who worked for wages, salary, commission, tips, pay-inkind, or piece rates for a private for profit employer or a

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private not-for-profit, tax-exempt or charitable organization. Self-employed persons whose business was incorporated are included with private wage and salary workers

because they are paid employees of their own companies.

Some tabulations present data separately for these subcategories: ‘‘For profit,’’ ‘‘Not for profit,’’ and ‘‘Own business incorporated.’’

Employees of foreign governments, the United Nations,

or other formal international organizations were classified

as ’’Private-not-for-profit.’’

Government Workers—Includes persons who were employees of any local, State, or Federal governmental unit,

regardless of the activity of the particular agency. For

some tabulations, the data were presented separately for

the three levels of government.

Self-Employed Workers—Includes persons who worked

for profit or fees in their own unincorporated business,

profession, or trade, or who operated a farm.

Unpaid Family Workers—Includes persons who worked

15 hours or more without pay in a business or on a farm

operated by a relative.

Salaried/ Self-Employed—In tabulations that categorize

persons as either salaried or self-employed, the salaried

category includes private and government wage and salary

workers; self-employed includes self-employed persons

and unpaid family workers.

The industry category, ‘‘Public administration,’’ is limited

to regular government functions such as legislative, judicial, administrative, and regulatory activities of governments. Other government organizations such as schools,

hospitals, liquor stores, and bus lines are classified by

industry according to the activity in which they are engaged.

On the other hand, the class of worker government

categories include all government workers.

Occasionally respondents supplied industry, occupation, or class of worker descriptions which were not

sufficiently specific for precise classification or did not

report on these items at all. Some of these cases were

corrected through the field editing process and during the

coding and tabulation operations. In the coding operation,

certain types of incomplete entries were corrected using

the Alphabetical Index of Industries and Occupations. For

example, it was possible in certain situations to assign an

industry code based on the occupation reported.

Following the coding operations, there was a computer

edit and an allocation process. The edit first determined

whether a respondent was in the universe which required

an industry and occupation code. The codes for the three

items (industry, occupation, and class of worker) were

checked to ensure they were valid and were edited for their

relation to each other. Invalid and inconsistent codes were

either blanked or changed to a consistent code.

If one or more of the three codes were blank after the

edit, a code was assigned from a ‘‘similar’’ person based

on other items such as age, sex, education, farm or

nonfarm residence, and weeks worked. If all the labor

force and income data also were blank, all these economic

items were assigned from one other person who provided

all the necessary data.

Comparability—Comparability of industry and occupation

data was affected by a number of factors, primarily the

systems used to classify the questionnaire responses. For

both the industry and occupation classification systems,

the basic structures were generally the same from 1940 to

1970, but changes in the individual categories limited

comparability of the data from one census to another.

These changes were needed to recognize the ‘‘birth’’ of

new industries and occupations, the ‘‘death’’ of others,

and the growth and decline in existing industries and

occupations, as well as, the desire of analysts and other

users for more detail in the presentation of the data.

Probably the greatest cause of incomparability is the

movement of a segment of a category to a different

category in the next census. Changes in the nature of jobs

and respondent terminology, and refinement of category

composition made these movements necessary.

In the 1990 census, the industry classification had minor

revisions to reflect recent changes to the SIC. The 1990

occupational classification system is essentially the same

as that for the 1980 census. However, the conversion of

the census classification to the SOC in 1980 meant that

the 1990 classification system was less comparable to the

classifications used prior to the 1980 census.

Other factors that affected data comparability included

the universe to which the data referred (in 1970, the age

cutoff for labor force was changed from 14 years to 16

years); how the industry and occupation questions were

worded on the questionnaire (for example, important changes

were made in 1970); improvements in the coding procedures (the Employer Name List technique was introduced

in 1960); and how the ‘‘not reported’’ cases are handled.

Prior to 1970, they were placed in the residual categories,

‘‘Industry not reported’’ and ‘‘Occupation not reported.’’ In

1970, an allocation process was introduced that assigned

these cases to major groups. In 1990, as in 1980, the ‘‘Not

reported’’ cases were assigned to individual categories.

Therefore, the 1980 and 1990 data for individual categories included some numbers of persons who were tabulated in a ‘‘Not reported’’ category in previous censuses.

The following publications contain information on the

various factors affecting comparability and are particularly

useful for understanding differences in the occupation and

industry information from earlier censuses: U.S. Bureau of

the Census, Changes Between the 1950 and 1960 Occupation and Industry Classifications With Detailed Adjustments of 1950 Data to the 1960 Classifications, Technical

Paper No. 18, 1968; U.S. Bureau of the Census, 1970

Occupation and Industry Classification Systems in Terms

of their 1960 Occupation and Industry Elements, Technical

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Paper No. 26, 1972; and U.S. Bureau of the Census, The

Relationship Between the 1970 and 1980 Industry and

Occupation Classification Systems, Technical Paper No.

59, 1988. For citations for earlier census years, see the

1980 Census of Population report, PC80-1-D, Detailed

Population Characteristics.

The 1990 census introduced an additional class of

worker category for ‘‘private not-for-profit’’ employers. This

category is a subset of the 1980 category ‘‘employee of

private employer’’ so there is no comparable data before

1990. Also in 1990, employees of foreign governments,

the United Nations, etc., are classified as ‘‘private not-forprofit,’’ rather than Federal Government as in 1970 and

1980. While in theory, there was a change in comparability,

in practice, the small number of U.S. residents working for

foreign governments made this change negligible.

Comparability between the statistics on industry and

occupation from the 1990 census and statistics from other

sources is affected by many of the factors described in the

section on ‘‘Employment Status.’’ These factors are primarily geographic differences between residence and place

of work, different dates of reference, and differences in

counts because of dual job holding. Industry data from

population censuses cover all industries and all kinds of

workers, whereas, data from establishments often excluded

private household workers, government workers, and the

self-employed. Also, the replies from household respondents may have differed in detail and nature from those

obtained from establishments.

Occupation data from the census and data from government licensing agencies, professional associations, trade

unions, etc., may not be as comparable as expected.

Organizational listings often include persons not in the

labor force or persons devoting all or most of their time to

another occupation; or the same person may be included

in two or more different listings. In addition, relatively few

organizations, except for those requiring licensing, attained

complete coverage of membership in a particular occupational field.

JOURNEY TO WORK

Place of Work

The data on place of work were derived from answers to

questionnaire item 22, which was asked of persons who

indicated in question 21 that they worked at some time

during the reference week. (For more information, see

discussion under ‘‘Reference Week.’’)

Data were tabulated for workers 16 years and over; that

is, members of the Armed Forces and civilians who were at

work during the reference week. Data on place of work

refer to the geographic location at which workers carried

out their occupational activities during the reference week.

The exact address (number and street) of the place of

work was asked, as well as the place (city, town, or post

office); whether or not the place of work was inside or

outside the limits of that city or town; and the county, State,

and ZIP Code. If the person’s employer operated in more

than one location, the exact address of the location or

branch where the respondent worked was requested.

When the number and street name were unknown, a

description of the location, such as the building name or

nearest street or intersection, was to be entered.

Persons who worked at more than one location during

the reference week were asked to report the one at which

they worked the greatest number of hours. Persons who

regularly worked in several locations each day during the

reference week were requested to give the address at

which they began work each day. For cases in which daily

work did not begin at a central place each day, the person

was asked to provide as much information as possible to

describe the area in which he or she worked most during

the reference week.

In some tabulations, place-of-work locations may be

defined as ‘‘in area of residence’’ and ‘‘outside area of

residence.’’ The area of residence may vary from table to

table or even within a table, and refers to the particular

area or areas shown. For example, in a table that provides

data for counties, ‘‘in area of residence’’ refers to persons

who worked in the same county in which they lived, while

‘‘outside area of residence’’ refers to persons whose

workplace was located in a county different from the one in

which they lived. Similarly, in a table that provides data for

several types of areas, such as the State and its individual

metropolitan areas (MA’s), counties, and places, the placeof-work data will be variable and is determined by the

geographic level (State, MA, county, or place) shown in

each section of the tabulation.

In tabulations that present data for States, workplaces

for the residents of the State may include, in addition to the

State itself, each contiguous State. The category, ‘‘in

noncontiguous State or abroad,’’ includes persons who

worked in a State that did not border their State of

residence as well as persons who worked outside the

United States.

In tabulations that present data for an MSA/ PMSA,

place-of-work locations are specified to show the main

destinations of workers living in the MSA/ PMSA. (For

more information on metropolitan areas (MA’s), see Appendix A, Area Classifications.) All place-of-work locations are

identified with respect to the boundaries of the MSA/ PMSA

as ‘‘inside MSA/ PMSA’’ or ‘‘outside MSA/ PMSA.’’ Locations within the MSA/ PMSA are further divided into each

central city, and each county or county balance. Selected

large incorporated places also may be specified as places

of work.

Within New England MSA/ PMSA’s, the places of work

presented generally are cities and towns. Locations outside the MSA/ PMSA are specified if they are important

commuting destinations for residents of the MSA/ PMSA,

and may include adjoining MSA/ PMSA’s and their central

cities, their component counties, large incorporated places,

or counties, cities, or other geographic areas outside any

MA. In tabulations for MSA/ PMSA’s in New England;

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Honolulu, Hawaii; and certain other MA’s, some place-ofwork locations are identified as ‘‘areas’’ (e.g., Area 1, Area

5, Area 12, etc.). Such areas consist of groups of towns,

cities, census designated places (Honolulu MSA only), or

counties that have been identified as unique place-of-work

destinations. When an adjoining MSA/ PMSA or MSA/ PMSA

remainder is specified as a place-of-work location, its

components are not defined. However, the components

are presented in the 1990 CP-1, General Population Characteristics for Metropolitan Areas and the 1990 CH-1,

General Housing Characteristics for Metropolitan Areas

reports. In tabulations that present data for census tracts

outside MA’s, place-of-work locations are defined as ‘‘in

county of residence’’ and ‘‘outside county of residence.’’

In areas where the workplace address was coded to the

block level, persons were tabulated as working inside or

outside a specific place based on the location of that

address, regardless of the response to question 22c

concerning city/ town limits. In areas where it was impossible to code the workplace address to the block level,

persons were tabulated as working in a place if a place

name was reported in question 22b and the response to

question 22c was either ‘‘Yes’’ or the item was left blank.

In selected areas, census designated places (CDP’s) may

appear in the tabulations as places of work. The accuracy

of place-of-work data for CDP’s may be affected by the

extent to which their census names were familiar to

respondents, and by coding problems caused by similarities between the CDP name and the names of other

geographic jurisdictions in the same vicinity.

Place-of-work data are given for selected minor civil

divisions (generally, cities, towns, and townships) in the

nine Northeastern States, based on the responses to the

place-of-work question. Many towns and townships are

regarded locally as equivalent to a place and therefore,

were reported as the place of work. When a respondent

reported a locality or incorporated place that formed a part

of a township or town, the coding and tabulating procedure

was designed to include the response in the total for the

township or town. The accuracy of the place-of-work data

for minor civil divisions is greatest for the New England

States. However, the data for some New England towns,

for towns in New York, and for townships in New Jersey

and Pennsylvania may be affected by coding problems

that resulted from the unfamiliarity of the respondent with

the minor civil division in which the workplace was located

or when a township and a city or borough of the same or

similar name are located close together.

Place-of-work data may show a few workers who made

unlikely daily work trips (e.g., workers who lived in New

York and worked in California). This result is attributable to

persons who worked during the reference week at a

location that was different from their usual place of work,

such as persons away from home on business.

Comparability—The wording of the question on place of

work was substantially the same in the 1990 census as it

was in 1980. However, data on place of work from the

1990 census are based on the full census sample, while

data from the 1980 census were based on only about

one-half of the full sample.

For the 1980 census,nonresponse or incomplete responses

to the place-of-work question were not allocated, resulting

in the use of ‘‘not reported’’ categories in the 1980

publications. However, for the 1990 census, when place of

work was not reported or the response was incomplete, a

work location was allocated to the person based on their

means of transportation to work, travel time to work,

industry, and location of residence and workplace of

others. The 1990 publications, therefore, do not contain a

‘‘not reported’’ category for the place-of-work data.

Comparisons between 1980 and 1990 census data on

the gross number of workers in particular commuting flows,

or the total number of persons working in an area, should

be made with extreme caution. Any apparent increase in

the magnitude of the gross numbers may be due solely to

the fact that for 1990 the ‘‘not reported’’ cases have been

distributed among specific place-of-work destinations, instead

of tallied in a separate category as in 1980.

Limitation of the Data—The data on place of work relate

to a reference week; that is, the calendar week preceding

the date on which the respondents completed their questionnaires or were interviewed by enumerators. This week

is not the same for all respondents because the enumeration was not completed in 1 week. However, for the

majority of persons, the reference week for the 1990

census is the last week in March 1990. The lack of a

uniform reference week means that the place-of-work data

reported in the census will not exactly match the distribution of workplace locations observed or measured during

an actual workweek.

The place-of-work data are estimates of persons 16

years old and over who were both employed and at work

during the reference week (including persons in the Armed

Forces). Persons who did not work during the reference

week but had jobs or businesses from which they were

temporarily absent due to illness, bad weather, industrial

dispute, vacation, or other personal reasons are not included

in the place-of-work data. Therefore, the data on place of

work understate the total number of jobs or total employment in a geographic area during the reference week. It

also should be noted that persons who had irregular,

casual, or unstructured jobs during the reference week

may have erroneously reported themselves as not working.

The address where the individual worked most often

during the reference week was recorded on the census

questionnaire. If a worker held two jobs, only data about

the primary job (the one worked the greatest number of

hours during the preceding week) was requested. Persons

who regularly worked in several locations during the reference week were requested to give the address at which

they began work each day. For cases in which daily work

was not begun at a central place each day, the person was

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asked to provide as much information as possible to

describe the area in which he or she worked most during

the reference week.

Means of Transportation to Work

The data on means of transportation to work were

derived from answers to questionnaire item 23a, which

was asked of persons who indicated in question 21 that

they worked at some time during the reference week. (For

more information, see discussion under ‘‘Reference Week.’’)

Means of transportation to work refers to the principal

mode of travel or type of conveyance that the person

usually used to get from home to work during the reference

week.

Persons who used different means of transportation on

different days of the week were asked to specify the one

they used most often, that is, the greatest number of days.

Persons who used more than one means of transportation

to get to work each day were asked to report the one used

for the longest distance during the work trip. The category,

‘‘Car, truck, or van,’’ includes workers using a car (including company cars but excluding taxicabs), a truck of

one-ton capacity or less, or a van. The category, ‘‘Public

transportation,’’ includes workers who used a bus or trolley

bus, streetcar or trolley car, subway or elevated, railroad,

ferryboat, or taxicab even if each mode is not shown

separately in the tabulation. The category, ‘‘Other means,’’

includes workers who used a mode of travel which is not

identified separately within the data distribution. The category, ‘‘Other means,’’ may vary from table to table, depending on the amount of detail shown in a particular distribution.

The means of transportation data for some areas may

show workers using modes of public transportation that

are not available in those areas (e.g., subway or elevated

riders in an MA where there actually is no subway or

elevated service). This result is largely due to persons who

worked during the reference week at a location that was

different from their usual place of work (such as persons

away from home on business in an area where subway

service was available) and persons who used more than

one means of transportation each day but whose principal

means was unavailable where they lived (for example,

residents of nonmetropolitan areas who drove to the fringe

of an MA and took the commuter railroad most of the

distance to work).

Private Vehicle Occupancy

The data on private vehicle occupancy were derived

from answers to questionnaire item 23b. This question was

asked of persons who indicated in question 21 that they

worked at some time during the reference week and who

reported in question 23a that their means of transportation

to work was ‘‘Car, truck, or van.’’ (For more information,

see discussion under ‘‘Reference Week.’’)

Private vehicle occupancy refers to the number of

persons who usually rode to work in the vehicle during the

reference week. The category, ‘‘Drove alone,’’ includes

persons who usually drove alone to work as well as

persons who were driven to work by someone who then

drove back home or to a nonwork destination. The category, ‘‘Carpooled,’’ includes workers who reported that two

or more persons usually rode to work in the vehicle during

the reference week.

Persons Per Car, Truck, or Van—This is obtained by

dividing the number of persons who reported using a car,

truck, or van to get to work by the number of such vehicles

that they used. The number of vehicles used is derived by

counting each person who drove alone as one vehicle,

each person who reported being in a two-person carpool

as one-half vehicle, each person who reported being in a

three-person carpool as one-third vehicle, and so on, and

then summing all the vehicles.

Time Leaving Home to Go to Work

The data on time leaving home to go to work were

derived from answers to questionnaire item 24a. This

question was asked of persons who indicated in question

21 that they worked at some time during the reference

week and who reported in question 23a that they worked

outside their home. The departure time refers to the time of

day that the person usually left home to go to work during

the reference week. (For more information, see discussion

under ‘‘Reference Week.’’)

Travel Time to Work

The data on travel time to work were derived from

answers to questionnaire item 24b. This question was

asked of persons who indicated in question 21 that they

worked at some time during the reference week and who

reported in question 23a that they worked outside their

home. Travel time to work refers to the total number of

minutes that it usually took the person to get from home to

work during the reference week. The elapsed time includes

time spent waiting for public transportation, picking up

passengers in carpools, and time spent in other activities

related to getting to work. (For more information, see

discussion under ‘‘Reference Week.’’)

LANGUAGE SPOKEN AT HOME AND ABILITY

TO SPEAK ENGLISH

Language Spoken at Home

Data on language spoken at home were derived from

the answers to questionnaire items 15a and 15b, which

were asked of a sample of persons born before April 1,

1985. Instructions mailed with the 1990 census questionnaire stated that a respondent should mark ‘‘Yes’’ in

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question 15a if the person sometimes or always spoke a

language other than English at home and should not mark

‘‘Yes’’ if a language was spoken only at school or if

speaking was limited to a few expressions or slang. For

question 15b, respondents were instructed to print the

name of the non-English language spoken at home. If the

person spoke more than one language other than English,

the person was to report the language spoken more often

or the language learned first.

The cover of the census questionnaire included information in Spanish which provided a telephone number for

respondents to call to request a census questionnaire and

instructions in Spanish. Instruction guides were also available in 32 other languages to assist enumerators who

encountered households or respondents who spoke no

English.

Questions 15a and 15b referred to languages spoken at

home in an effort to measure the current use of languages

other than English. Persons who knew languages other

than English but did not use them at home or who only

used them elsewhere were excluded. Persons who reported

speaking a language other than English at home may also

speak English; however, the questions did not permit

determination of the main or dominant language of persons who spoke both English and another language. (For

more information, see discussion below on ‘‘Ability to

Speak English.’’)

For persons who indicated that they spoke a language

other than English at home in question 15a, but failed to

specify the name of the language in question 15b, the

language was assigned based on the language of other

speakers in the household; on the language of a person of

the same Spanish origin or detailed race group living in the

same or a nearby area; or on a person of the same

ancestry or place of birth. In all cases where a person was

assigned a non-English language, it was assumed that the

language was spoken at home. Persons for whom the

name of a language other than English was entered in

question 15b, and for whom question 15a was blank were

assumed to speak that language at home.

The write-in responses listed in question 15b (specific

language spoken) were transcribed onto computer files

and coded into more than 380 detailed language categories using an automated coding system. The automated

procedure compared write-in responses reported by respondents with entries in a computer dictionary, which initially

contained approximately 2,000 language names. The dictionary was updated with a large number of new names,

variations in spelling, and a small number of residual

categories. Each write-in response was given a numeric

code that was associated with one of the detailed categories in the dictionary. If the respondent listed more than

one non-English language, only the first was coded.

The write-in responses represented the names people

used for languages they speak. They may not match the

names or categories used by linguists. The sets of categories used are sometimes geographic and sometimes

linguistic. Figure 1 provides an illustration of the content of

the classification schemes used to present language data.

For more information, write to the Chief, Population Division, U.S. Bureau of the Census, Washington, DC 20233.

Household Language—In households where one or more

persons (age 5 years old or over) speak a language other

than English, the household language assigned to all

household members is the non-English language spoken

by the first person with a non-English language in the

following order: householder, spouse, parent, sibling, child,

grandchild, other relative, stepchild, unmarried partner,

housemate or roommate, roomer, boarder, or foster child,

or other nonrelative. Thus, persons who speak only English

may have a non-English household language assigned to

them in tabulations of persons by household language.

Figure 1. Four- and Twenty-Five-Group Classifications of

1990 Census Languages Spoken at Home with

Illustrative Examples

Four-Group

Classification

Twenty-Five-Group

Classification Examples

Spanish Spanish Spanish, Ladino

Other Indo- French French, Cajun,

European French Creole

Italian

Portuguese

German

Yiddish

Other West Afrikaans, Dutch,

Germanic Pennsylvania Dutch

Scandanavian Danish, Norwegian,

Swedish

Polish

Russian

South Slavic Serbocroatian,

Bulgarian, Macedonian,

Slovene

Other Slavic Czech, Slovak,

Ukranian

Greek

Indic Hindi, Bengali,

Gujarathi, Punjabi,

Romany, Sinhalese

Other Indo- Armenian, Gaelic,

European, not Lithuanian, Persian

elsewhere

classified

Languages of Chinese

Asia and the Japanese

Pacific Mon-Khmer Cambodian

Tagalog

Korean

Vietnamese

Other languages Chamorro, Dravidian

(part) Languages, Hawaiian,

Ilocano, Thai, Turkish

All other lan- Arabic

guages Hungarian

Native North

American languages

Other languages Amharic, Syriac,

(part) Finnish, Hebrew,

Languages of

Central and South

America, Other

Languages of Africa

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Ability to Speak English

Persons 5 years old and over who reported that they

spoke a language other than English in question 15a were

also asked in question 15c to indicate their ability to speak

English based on one of the following categories: ‘‘Very

well,’’ ‘‘Well,’’ ‘‘Not well,’’ or ‘‘Not at all.’’

The data on ability to speak English represent the

person’s own perception about his or her own ability or,

because census questionnaires are usually completed by

one household member, the responses may represent the

perception of another household member. The instruction

guides and questionnaires that were mailed to households

did not include any information on how to interpret the

response categories in question 15c.

Persons who reported that they spoke a language other

than English at home but whose ability to speak English

was not reported, were assigned the English-language

ability of a randomly selected person of the same age,

Spanish origin, nativity and year of entry, and language

group.

Linguistic Isolation—A household in which no person

age 14 years or over speaks only English and no person

age 14 years or over who speaks a language other than

English speaks English ‘‘Very well’’ is classified as ‘‘linguistically isolated.’’ All the members of a linguistically

isolated household are tabulated as linguistically isolated,

including members under age 14 years who may speak

only English.

Limitation of the Data—Persons who speak a language

other than English at home may have first learned that

language at school. However, these persons would be

expected to indicate that they spoke English ‘‘Very well.’’

Persons who speak a language other than English, but do

not do so at home, should have been reported as not

speaking a language other than English at home.

The extreme detail in which language names were

coded may give a false impression of the linguistic precision of these data. The names used by speakers of a

language to identify it may reflect ethnic, geographic, or

political affiliations and do not necessarily respect linguistic distinctions. The categories shown in the tabulations

were chosen on a number of criteria, such as information

about the number of speakers of each language that might

be expected in a sample of the United States population.

Comparability—Information on language has been collected in every census since 1890. The comparability of

data among censuses is limited by changes in question

wording, by the subpopulations to whom the question was

addressed, and by the detail that was published.

The same question on language was asked in the 1980

and 1990 censuses. This question on the current language

spoken at home replaced the questions asked in prior

censuses on mother tongue; that is, the language other

than English spoken in the person’s home when he or she

was a child; one’s first language; or the language spoken

before immigrating to the United States. The censuses of

1910-1940, 1960 and 1970 included questions on mother

tongue. A change in coding procedure from 1980 to 1990

should have improved accuracy of coding and may affect

the number of persons reported in some of the 380 plus

categories. It should not greatly affect the 4-group or 25-

group lists. In 1980, coding clerks supplied numeric codes

for the written entries on each questionnaire using a 2,000

name reference list. In 1990 written entries were transcribed to a computer file and matched to a computer

dictionary which began with the 2,000 name list, but

expanded as unmatched names were referred to headquarters specialists for resolution.

The question on ability to speak English was asked for

the first time in 1980. In tabulations from 1980, the

categories ‘‘Very well’’ and ‘‘Well’’ were combined. Data

from other surveys suggested a major difference between

the category ‘‘Very well’’ and the remaining categories. In

tabulations showing ability to speak English, persons who

reported that they spoke English ‘‘Very well’’ are presented separately from persons who reported their ability

to speak English as less than ‘‘Very well.’’

MARITAL STATUS

The data on marital status were derived from answers to

questionnaire item 6, which was asked of all persons. The

marital status classification refers to the status at the time

of enumeration. Data on marital status are tabulated only

for persons 15 years old and over.

All persons were asked whether they were ‘‘now married,’’ ‘‘widowed,’’ ‘‘divorced,’’ ‘‘separated,’’ or ‘‘never married.’’ Couples who live together (unmarried persons,

persons in common-law marriages) were allowed to report

the marital status they considered the most appropriate.

Never Married—Includes all persons who have never

been married, including persons whose only marriage(s)

was annulled.

Ever Married—Includes persons married at the time of

enumeration (including those separated),widowed, or divorced.

Now Married, Except Separated—Includes persons whose

current marriage has not ended through widowhood, divorce,

or separation (regardless of previous marital history). The

category may also include couples who live together or

persons in common-law marriages if they consider this

category the most appropriate. In certain tabulations,

currently married persons are further classified as ‘‘spouse

present’’ or ‘‘spouse absent.’’

Separated—Includes persons legally separated or otherwise absent from their spouse because of marital discord.

Included are persons who have been deserted or who

have parted because they no longer want to live together

but who have not obtained a divorce.

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Widowed—Includes widows and widowers who have not

remarried.

Divorced—Includes persons who are legally divorced and

who have not remarried.

In selected sample tabulations, data for married and

separated persons are reorganized and combined with

information on the presence of the spouse in the same

household.

Now Married—All persons whose current marriage has

not ended by widowhood or divorce. This category includes

persons defined above as ‘‘separated.’’

Spouse Present—Married persons whose wife or husband was enumerated as a member of the same

household, including those whose spouse may have

been temporarily absent for such reasons as travel or

hospitalization.

Spouse Absent—Married persons whose wife or husband was not enumerated as a member of the same

household. This category also includes all married persons living in group quarters.

Separated—Defined above.

Spouse Absent, Other—Married persons whose wife or

husband was not enumerated as a member of the same

household, excluding separated. Included is any person

whose spouse was employed and living away from

home or in an institution or absent in the Armed Forces.

Differences between the number of currently married

males and the number of currently married females occur

because of reporting differences and because some husbands and wives have their usual residence in different

areas. In sample tabulations, these differences can also

occur because different weights are applied to the individual’s data. Any differences between the number of ‘‘now

married, spouse present’’ males and females are due

solely to sample weighting. By definition, the numbers

would be the same.

When marital status was not reported, it was imputed

according to the relationship to the householder and sex

and age of the person. (For more information on imputation, see Appendix C, Accuracy of the Data.)

Comparability—The 1990 marital status definitions are

the same as those used in 1980 with the exception of the

term ‘‘never married’’ which replaces the term ‘‘single’’ in

tabulations. A general marital status question has been

asked in every census since 1880.

MOBILITY LIMITATION STATUS

The data on mobility limitation status were derived from

answers to questionnaire item 19a, which was asked of a

sample of persons 15 years old and over. Persons were

identified as having a mobility limitation if they had a health

condition that had lasted for 6 or more months and which

made it difficult to go outside the home alone. Examples of

outside activities on the questionnaire included shopping

and visiting the doctor’s office.

The term ‘‘health condition’’ referred to both physical

and mental conditions. A temporary health problem, such

as a broken bone that was expected to heal normally, was

not considered a health condition.

Comparability—This was the first time that a question on

mobility limitation was included in the census.

PLACE OF BIRTH

The data on place of birth were derived from answers to

questionnaire item 8, which was asked on a sample basis.

The place-of-birth question asked respondents to report

the U.S. State, commonwealth or territory, or the foreign

country where they were born. Persons born outside the

United States were asked to report their place of birth

according to current international boundaries. Since numerous changes in boundaries of foreign countries have

occurred in the last century, some persons may have

reported their place of birth in terms of boundaries that

existed at the time of their birth or emigration, or in

accordance with their own national preference.

Persons not reporting place of birth were assigned the

birthplace of another family member or were allocated the

response of another person with similar characteristics.

Persons allocated as foreign born were not assigned a

specific country of birth but were classified as ‘‘Born

abroad, country not specified.’’

Nativity—Information on place of birth and citizenship

were used to classify the population into two major categories: native and foreign born. When information on place

of birth was not reported, nativity was assigned on the

basis of answers to citizenship, if reported, and other

characteristics.

Native—Includes persons born in the United States, Puerto

Rico, or an outlying area of the United States. The small

number of persons who were born in a foreign country but

have at least one American parent also are included in this

category.

The native population is classified in the following

groups: persons born in the State in which they resided at

the time of the census; persons born in a different State, by

region; persons born in Puerto Rico or an outlying area of

the U.S.; and persons born abroad with at least one

American parent.

Foreign Born—Includes persons not classified as ‘‘Native.’’

Prior to the 1970 census, persons not reporting place of

birth were generally classified as native.

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The foreign-born population is shown by selected area,

country, or region of birth; the places of birth shown in data

products were selected based on the number of respondents who reported that area or country of birth.

Comparability—Data on the State of birth of the native

population have been collected in each census beginning

with that of 1850. Similar data were shown in tabulations

for the 1980 census and other recent censuses. Nonresponse was allocated in a similar manner in 1980; however, prior to 1980, nonresponse to the place of birth

question was not allocated. Prior to the 1970 census,

persons not reporting place of birth were generally classified as native.

The questionnaire instruction to report mother’s State of

residence instead of the person’s actual State of birth (if

born in a hospital in a different State) was dropped in 1990.

Evaluation studies of 1970 and 1980 census data demonstrated that this instruction was generally either ignored or

misunderstood. Since the hospital and the mother’s residence is in the same State for most births, this change may

have a slight effect on State of birth data for States with

large metropolitan areas that straddle State lines.

POVERTY STATUS IN 1989

The data on poverty status were derived from answers

to the same questions as the income data, questionnaire

items 32 and 33. (For more information, see the discussion

under ‘‘Income in 1989.’’) Poverty statistics presented in

census publications were based on a definition originated

by the Social Security Administration in 1964 and subsequently modified by Federal interagency committees in

1969 and 1980 and prescribed by the Office of Management and Budget in Directive 14 as the standard to be

used by Federal agencies for statistical purposes.

At the core of this definition was the 1961 economy food

plan, the least costly of four nutritionally adequate food

plans designed by the Department of Agriculture. It was

determined from the Agriculture Department’s 1955 survey

of food consumption that families of three or more persons

spend approximately one-third of their income on food;

hence, the poverty level for these families was set at three

times the cost of the economy food plan. For smaller

families and persons living alone, the cost of the economy

food plan was multiplied by factors that were slightly higher

to compensate for the relatively larger fixed expenses for

these smaller households.

The income cutoffs used by the Census Bureau to

determine the poverty status of families and unrelated

individuals included a set of 48 thresholds arranged in a

two-dimensional matrix consisting of family size (from one

person to nine or more persons) cross-classified by presence and number of family members under 18 years old

(from no children present to eight or more children present).

Unrelated individuals and two-person families were further

differentiated by age of the householder (under 65 years

old and 65 years old and over).

The total income of each family or unrelated individual in

the sample was tested against the appropriate poverty

threshold to determine the poverty status of that family or

unrelated individual. If the total income was less than the

corresponding cutoff, the family or unrelated individual was

classified as ‘‘below the poverty level.’’ The number of

persons below the poverty level was the sum of the

number of persons in families with incomes below the

poverty level and the number of unrelated individuals with

incomes below the poverty level.

The poverty thresholds are revised annually to allow for

changes in the cost of living as reflected in the Consumer

Price Index. The average poverty threshold for a family of

four persons was $12,674 in 1989. (For more information,

see table A below.) Poverty thresholds were applied on a

national basis and were not adjusted for regional, State or

local variations in the cost of living. For a detailed discussion of the poverty definition, see U.S. Bureau of the

Census, Current Population Reports, Series P-60, No. 171,

Poverty in the United States: 1988 and 1989.

Persons for Whom Poverty Status is Determined—

Poverty status was determined for all persons except

institutionalized persons, persons in military group quarters

and in college dormitories, and unrelated individuals under

15 years old. These groups also were excluded from the

denominator when calculating poverty rates.

Specified Poverty Levels—Since the poverty levels currently in use by the Federal Government do not meet all

the needs of data users, some of the data are presented

for alternate levels. These specified poverty levels are

obtained by multiplying the income cutoffs at the poverty

level by the appropriate factor. For example, the average

income cutoff at 125 percent of poverty level was $15,843

($12,674 x 1.25) in 1989 for a family of four persons.

Weighted Average Thresholds at the Poverty

Level—The average thresholds shown in the first column

of table A are weighted by the presence and number of

children. For example, the weighted average threshold for

a given family size is obtained by multiplying the threshold

for each presence and number of children category within

the given family size by the number of families in that

category. These products are then aggregated across the

entire range of presence and number of children categories, and the aggregate is divided by the total number of

families in the group to yield the weighted average threshold at the poverty level for that family size.

Since the basic thresholds used to determine the poverty status of families and unrelated individuals are applied

to all families and unrelated individuals, the weighted

average poverty thresholds are derived using all families

and unrelated individuals rather than just those classified

as being below the poverty level. To obtain the weighted

poverty thresholds for families and unrelated individuals

below alternate poverty levels, the weighted thresholds

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shown in table A may be multiplied directly by the appropriate factor. The weighted average thresholds presented

in the table are based on the March 1990 Current Population Survey. However, these thresholds would not differ

significantly from those based on the 1990 census.

Income Deficit—Represents the difference between the

total income of families and unrelated individuals below the

poverty level and their respective poverty thresholds. In

computing the income deficit, families reporting a net

income loss are assigned zero dollars and for such cases

the deficit is equal to the poverty threshold.

This measure provided an estimate of the amount which

would be required to raise the incomes of all poor families

and unrelated individuals to their respective poverty thresholds. The income deficit is thus a measure of the degree of

impoverishment of a family or unrelated individual. However, caution must be used in comparing the average

deficits of families with different characteristics. Apparent

differences in average income deficits may, to some

extent, be a function of differences in family size.

Mean Income Deficit—Represents the amount obtained

by dividing the total income deficit of a group below the

poverty level by the number of families (or unrelated

individuals) in that group.

Comparability—The poverty definition used in the 1990

and 1980 censuses differed slightly from the one used in

the 1970 census. Three technical modifications were

made to the definition used in the 1970 census as described

below:

1. The separate thresholds for families with a female

householder with no husband present and all other

families were eliminated. For the 1980 and 1990

censuses, the weighted average of the poverty thresholds for these two types of families was applied to all

types of families, regardless of the sex of the householder.

2. Farm families and farm unrelated individuals no longer

had a set of poverty thresholds that were lower than

the thresholds applied to nonfarm families and unrelated individuals. The farm thresholds were 85 percent

of the corresponding levels for nonfarm families in the

1970 census. The same thresholds were applied to all

families and unrelated individuals regardless of residence in 1980 and 1990.

3. The thresholds by size of family were extended from

seven or more persons in 1970 to nine or more

persons in 1980 and 1990.

These changes resulted in a minimal increase in the

number of poor at the national level. For a complete

discussion of these modifications and their impact, see the

Current Population Reports, Series P-60, No. 133.

The population covered in the poverty statistics derived

from the 1980 and 1990 censuses was essentially the

same as in the 1970 census. The only difference was that

in 1980 and 1990, unrelated individuals under 15 years old

were excluded from the poverty universe, while in 1970,

only those under 14 years old were excluded. The poverty

data from the 1960 census excluded all persons in group

quarters and included all unrelated individuals regardless

of age. It was unlikely that these differences in population

coverage would have had significant impact when comparing the poverty data for persons since the 1960 censuses.

Current Population Survey—Because of differences in

the questionnaires and data collection procedures, estimates of the number of persons below the poverty level

by various characteristics from the 1990 census may

differ from those reported in the March 1990 Current

Population Survey.

RACE

The data on race were derived from answers to questionnaire item 4, which was asked of all persons. The

concept of race as used by the Census Bureau reflects

Table A. Poverty Thresholds in 1989 by Size of Family and Number of Related Children Under 18 Years

Size of Family Unit

Weighted

average

thresholds

Related children under 18 years

None One Two Three Four Five Six Seven

Eight or

more

One person (unrelated individual). $6,310

Under 65 years. . . . . . . . . . . . . . . 6 451 $6,451

65 years and over . . . . . . . . . . . . 5,947 5,947

Two persons. . . . . . . . . . . . . . . . . . . 8,076

Householder under 65 years . . . 8,343 8,303 $8,547

Householder 65 years and

over . . . . . . . . . . . . . . . . . . . . . . . 7,501 7,495 8,515

Three persons . . . . . . . . . . . . . . . . . 9,885 9,699 9,981 $9,990

Four persons . . . . . . . . . . . . . . . . . . 12,674 12,790 12,999 12,575 $12,619

Five persons . . . . . . . . . . . . . . . . . . . 14,990 15,424 15,648 15,169 14,798 $14,572

Six persons . . . . . . . . . . . . . . . . . . . . 16,921 17,740 17,811 17,444 17,092 16,569 $16,259

Seven persons . . . . . . . . . . . . . . . . . 19,162 20,412 20,540 20,101 19,794 19,224 18,558 $17,828

Eight persons . . . . . . . . . . . . . . . . . . 21,328 22,830 23,031 22,617 22,253 21,738 21,084 20,403 $20,230

Nine or more persons . . . . . . . . . . 25,480 27,463 27,596 27,229 26,921 26,415 25,719 25,089 24,933 $23,973

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self-identification; it does not denote any clear-cut scientific definition of biological stock. The data for race represent self-classification by people according to the race

with which they most closely identify. Furthermore, it is

recognized that the categories of the race item include

both racial and national origin or socio-cultural groups.

During direct interviews conducted by enumerators, if a

person could not provide a single response to the race

question, he or she was asked to select, based on

self-identification, the group which best described his or

her racial identity. If a person could not provide a single

race response, the race of the mother was used. If a single

race response could not be provided for the person’s

mother, the first race reported by the person was used. In

all cases where occupied housing units, households, or

families are classified by race, the race of the householder

was used.

The racial classification used by the Census Bureau

generally adheres to the guidelines in Federal Statistical

Directive No. 15, issued by the Office of Management and

Budget, which provides standards on ethnic and racial

categories for statistical reporting to be used by all Federal

agencies. The racial categories used in the 1990 census

data products are provided below.

White—Includes persons who indicated their race as

‘‘White’’ or reported entries such as Canadian, German,

Italian, Lebanese, Near Easterner, Arab, or Polish.

Black—Includes persons who indicated their race as

‘‘Black or Negro’’ or reported entries such as African

American, Afro-American, Black Puerto Rican, Jamaican,

Nigerian, West Indian, or Haitian.

American Indian, Eskimo, or Aleut—Includes persons

who classified themselves as such in one of the specific

race categories identified below.

American Indian—Includes persons who indicated their

race as ‘‘American Indian,’’ entered the name of an

Indian tribe, or reported such entries as Canadian

Indian, French-American Indian, or Spanish-American

Indian.

American Indian Tribe—Persons who identified themselves as American Indian were asked to report their

enrolled or principal tribe. Therefore, tribal data in

tabulations reflect the written tribal entries reported

on the questionnaires. Some of the entries (for

example, Iroquois, Sioux, Colorado River, and Flathead) represent nations or reservations.

The information on tribe is based on self-identification

and therefore does not reflect any designation of

Federally- or State-recognized tribe. Information on

American Indian tribes is presented in summary tape

files and special data products. The information is

derived from the American Indian Detailed Tribal

Classification List for the 1990 census. The classification list represents all tribes, bands, and clans that

had a specified number of American Indians reported

on the census questionnaire.

Eskimo—Includes persons who indicated their race as

‘‘Eskimo’’ or reported entries such as Arctic Slope,

Inupiat, and Yupik.

Aleut—Includes persons who indicated their race as

‘‘Aleut’’ or reported entries such as Alutiiq, Egegik, and

Pribilovian.

Asian or Pacific Islander—Includes persons who reported

in one of the Asian or Pacific Islander groups listed on the

questionnaire or who provided write-in responses such as

Thai, Nepali, or Tongan. A more detailed listing of the

groups comprising the Asian or Pacific Islander population

is presented in figure 2 below. In some data products,

information is presented separately for the Asian population and the Pacific Islander population.

Asian—Includes ‘‘Chinese,’’ ‘‘Filipino,’’ ‘‘Japanese,’’ ‘‘Asian

Indian,’’ ‘‘Korean,’’ ‘‘Vietnamese,’’ and ‘‘Other Asian.’’ In

some tables, ‘‘Other Asian’’ may not be shown separately,

but is included in the total Asian population.

Chinese—Includes persons who indicated their race as

‘‘Chinese’’ or who identified themselves as Cantonese,

Tibetan, or Chinese American. In standard census reports,

persons who reported as ‘‘Taiwanese’’ or ‘‘Formosan’’

are included here with Chinese. In special reports on the

Asian or Pacific Islander population, information on

persons who identified themselves as Taiwanese are

shown separately.

Filipino—Includes persons who indicated their race as

‘‘Filipino’’ or reported entries such as Philipino, Philipine,

or Filipino American.

Japanese—Includes persons who indicated their race

as ‘‘Japanese’’ and persons who identified themselves

as Nipponese or Japanese American.

Asian Indian—Includes persons who indicated their

race as ‘‘Asian Indian’’ and persons who identified

themselves as Bengalese, Bharat, Dravidian, East Indian,

or Goanese.

Korean—Includes persons who indicated their race as

‘‘Korean’’ and persons who identified themselves as

Korean American.

Vietnamese—Includes persons who indicated their race

as ‘‘Vietnamese’’ and persons who identified themselves as Vietnamese American.

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Cambodian—Includes persons who provided a write-in

response such as Cambodian or Cambodia.

Hmong—Includes persons who provided a write-in response

such as Hmong, Laohmong, or Mong.

Laotian—Includes persons who provided a write-in response

such as Laotian, Laos, or Lao.

Thai—Includes persons who provided a write-in response

such as Thai, Thailand, or Siamese.

Other Asian—Includes persons who provided a write-in

response of Bangladeshi, Burmese, Indonesian, Pakistani, Sri Lankan, Amerasian, or Eurasian. See figure 2

for other groups comprising ‘‘Other Asian.’’

Pacific Islander—Includes persons who indicated their

race as ‘‘Pacific Islander’’ by classifying themselves into

one of the following groups or identifying themselves as

one of the Pacific Islander cultural groups of Polynesian,

Micronesian, or Melanesian.

Hawaiian—Includes persons who indicated their race as

‘‘Hawaiian’’ as well as persons who identified themselves as Part Hawaiian or Native Hawaiian.

Samoan—Includes persons who indicated their race as

‘‘Samoan’’ or persons who identified themselves as

American Samoan or Western Samoan.

Guamanian—Includes persons who indicated their race

as ‘‘Guamanian’’ or persons who identified themselves

as Chamorro or Guam.

Other Pacific Islander—Includes persons who provided

a write-in response of a Pacific Islander group such as

Tahitian, Northern Mariana Islander, Palauan, Fijian, or

a cultural group such as Polynesian, Micronesian, or

Melanesian. See figure 2 for other groups comprising

‘‘Other Pacific Islander.’’

Other Race—Includes all other persons not included in

the ‘‘White,’’ ‘‘Black,’’ ‘‘American Indian, Eskimo, or Aleut,’’

and the ‘‘Asian or Pacific Islander’’ race categories described

above. Persons reporting in the ‘‘Other race’’ category and

providing write-in entries such as multiracial, multiethnic,

mixed, interracial, Wesort, or a Spanish/ Hispanic origin

group (such as Mexican, Cuban, or Puerto Rican) are

included here.

Written entries to three categories on the race item—

‘‘Indian (Amer.),’’ ‘‘Other Asian or Pacific Islander (API),’’

and ‘‘Other race’’—were reviewed, edited, and coded by

subject matter specialists. (For more information on the

coding operation, see the section below that discusses

‘‘Comparability.’’)

The written entries under ‘‘Indian (Amer.)’’ and ‘‘Other

Asian or Pacific Islander (API)’’ were reviewed and coded

during 100-percent processing of the 1990 census questionnaires. A substantial portion of the entries for the

‘‘Other race’’ category also were reviewed, edited, and

coded during the 100-percent processing. The remaining

entries under ‘‘Other race’’ underwent review and coding

during sample processing. Most of the written entries

reviewed and coded during sample processing were those

indicating Hispanic origin such as Mexican, Cuban, or

Puerto Rican.

If the race entry for a member of a household was

missing on the questionnaire, race was assigned based

upon the reported entries of race by other household

members using specific rules of precedence of household

relationship. For example, if race was missing for the

daughter of the householder, then the race of her mother

(as female householder or female spouse) would be

assigned. If there was no female householder or spouse in

the household, the daughter would be assigned her father’s

(male householder) race. If race was not reported for

anyone in the household, the race of a householder in a

previously processed household was assigned. This procedure is a variation of the general imputation procedures

described in Appendix C, Accuracy of the Data.

Limitation of the Data—In the 1980 census, a relatively

high proportion (20 percent) of American Indians did not

report any tribal entry in the race item. Evaluation of the

pre-census tests indicated that changes made for the 1990

race item should improve the reporting of tribes in the rural

areas (especially on reservations) for the 1990 census.

The results for urban areas were inconclusive. Also, the

precensus tests indicated that there may be overreporting

of the Cherokee tribe. An evaluation of 1980 census data

showed overreporting of Cherokee in urban areas or areas

where the number of American Indians was sparse.

In the 1990 census, respondents sometimes did not fill

in a circle or filled the ‘‘Other race’’ circle and wrote in a

response, such as Arab, Polish, or African American in the

shared write-in box for ‘‘Other race’’ and ‘‘Other API’’

responses. During the automated coding process, these

responses were edited and assigned to the appropriate

racial designation. Also, some Hispanic origin persons did

not fill in a circle, but provided entries such as Mexican or

Puerto Rican. These persons were classified in the ‘‘Other

race’’ category during the coding and editing process.

There may be some minor differences between sample

data and 100-percent data because sample processing

included additional edits not included in the 100-percent

processing.

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Figure 2. Asian or Pacific Islander Groups Reported

in the 1990 Census

Asian Pacific Islander

Chinese Hawaiian

Filipino Samoan

Japanese Guamanian

Asian Indian Other Pacific Islander1

Korean Carolinian

Vietnamese Fijian

Cambodian Kosraean

Hmong Melanesian3

Laotian Micronesian3

Thai Northern Mariana Islander

Other Asian1 Palauan

Bangladeshi Papua New Guinean

Bhutanese Ponapean (Pohnpeian)

Borneo Polynesian3

Burmese Solomon Islander

Celebesian Tahitian

Ceram Tarawa Islander

Indochinese Tokelauan

Indonesian Tongan

Iwo-Jiman Trukese (Chuukese)

Javanese Yapese

Malayan Pacific Islander, not specified

Maldivian

Nepali

Okinawan

Pakistani

Sikkim

Singaporean

Sri Lankan

Sumatran

Asian, not specified2

1

In some data products, specific groups listed under ‘‘Other Asian’’ or

‘‘Other Pacific Islander’’ are shown separately. Groups not shown are

tabulated as ‘‘All other Asian’’ or ‘‘All other Pacific Islander,’’ respectively. 2

Includes entries such as Asian American, Asian, Asiatic, Amerasian,

and Eurasian. 3

Polynesian, Micronesian, and Melanesian are Pacific Islander cultural

groups.

Comparability—Differences between the 1990 census

and earlier censuses affect the comparability of data for

certain racial groups and American Indian tribes. The 1990

census was the first census to undertake, on a 100-

percent basis, an automated review, edit, and coding

operation for written responses to the race item. The

automated coding system used in the 1990 census greatly

reduced the potential for error associated with a clerical

review. Specialists with a thorough knowledge of the race

subject matter reviewed, edited, coded, and resolved

inconsistent or incomplete responses. In the 1980 census,

there was only a limited clerical review of the race responses

on the 100-percent forms with a full clerical review conducted only on the sample questionnaires.

Another major difference between the 1990 and preceding censuses is the handling of the write-in responses

for the Asian or Pacific Islander populations. In addition to

the nine Asian or Pacific Islander categories shown on the

questionnaire under the spanner ‘‘Asian or Pacific Islander

(API),’’ the 1990 census race item provided a new residual

category, ‘‘Other API,’’ for Asian or Pacific Islander persons who did not report in one of the listed Asian or Pacific

Islander groups. During the coding operation, write-in

responses for ‘‘Other API’’ were reviewed, coded, and

assigned to the appropriate classification. For example, in

1990, a write-in entry of Laotian, Thai, or Javanese is

classified as ‘‘Other Asian,’’ while a write-in entry of

Tongan or Fijian is classified as ‘‘Other Pacific Islander.’’ In

the 1990 census, these persons were able to identify as

‘‘Other API’’ in both the 100-percent and sample operations.

In the 1980 census, the nine Asian or Pacific Islander

groups were also listed separately. However, persons not

belonging to these nine groups wrote in their specific racial

group under the ‘‘Other’’ race category. Persons with a

written entry such as Laotian, Thai, or Tongan, were

tabulated and published as ‘‘Other race’’ in the 100-

percent processing operation in 1980, but were reclassified as ‘‘Other Asian and Pacific Islander’’ in 1980 sample

tabulations. In 1980 special reports on the Asian or Pacific

Islander populations, data were shown separately for

‘‘Other Asian’’ and ‘‘Other Pacific Islander.’’

The 1970 questionnaire did not have separate race

categories for Asian Indian, Vietnamese, Samoan, and

Guamanian. These persons indicated their race in the

‘‘Other’’ category and later, through the editing process,

were assigned to a specific group. For example, in 1970,

Asian Indians were reclassified as ‘‘White,’’ while Vietnamese, Guamanians, and Samoans were included in the

‘‘Other’’ category.

Another difference between 1990 and preceding censuses is the approach taken when persons of Spanish/

Hispanic origin did not report in a specific race category but

reported as ‘‘Other race’’ or ‘‘Other.’’ These persons

commonly provided a write-in entry such as Mexican,

Venezuelan, or Latino. In the 1990 and 1980 censuses,

these entries remained in the ‘‘Other race’’ or ‘‘Other’’

category, respectively. In the 1970 census, most of these

persons were included in the ‘‘White’’ category.

REFERENCE WEEK

The data on labor force status and journey to work were

related to the reference week; that is, the calendar week

preceding the date on which the respondents completed

their questionnaires or were interviewed by enumerators.

This week is not the same for all respondents since the

enumeration was not completed in one week. The occurrence of holidays during the enumeration period could

affect the data on actual hours worked during the reference week, but probably had no effect on overall measurement of employment status (see the discussion below on

‘‘Comparability’’).

Comparability—The reference weeks for the 1990 and

1980 censuses differ in that Passover and Good Friday

occurred in the first week of April 1980, but in the second

week of April 1990. Many workers presumably took time

off for those observances. The differing occurrence of

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these holidays could affect the comparability of the 1990

and 1980 data on actual hours worked for some areas if

the respective weeks were the reference weeks for a

significant number of persons. The holidays probably did

not affect the overall measurement of employment status

since this information was based on work activity during

the entire reference week.

RESIDENCE IN 1985

The data on residence in 1985 were derived from

answers to questionnaire item 14b, which asked for the

State (or foreign country), county, and place of residence

on April 1, 1985, for those persons reporting in question

14a that on that date they lived in a different house than

their current residence. Residence in 1985 is used in

conjunction with location of current residence to determine

the extent of residential mobility of the population and the

resulting redistribution of the population across the various

States, metropolitan areas, and regions of the country.

When no information on residence in 1985 was reported

for a person, information for other family members, if

available, was used to assign a location of residence in

1985. All cases of nonresponse or incomplete response

that were not assigned a previous residence based on

information from other family members were allocated the

previous residence of another person with similar characteristics who provided complete information.

The tabulation category, ‘‘Same house,’’ includes all

persons 5 years old and over who did not move during the

5 years as well as those who had moved but by 1990 had

returned to their 1985 residence. The category, ‘‘Different

house in the United States,’’ includes persons who lived in

the United States in 1985 but in a different house or

apartment from the one they occupied on April 1, 1990.

These movers are then further subdivided according to the

type of move.

In most tabulations, movers are divided into three

groups according to their 1985 residence: ‘‘Different house,

same county,’’ ‘‘Different county, same State,’’ and ‘‘Different State.’’ The last group may be further subdivided

into region of residence in 1985. The category, ‘‘Abroad,’’

includes those persons who were residing in a foreign

country, Puerto Rico, or an outlying area of the U.S. in

1985, including members of the Armed Forces and their

dependents. Some tabulations show movers who were

residing in Puerto Rico or an outlying area in 1985 separately from those residing in other countries.

In tabulations for metropolitan areas, movers are categorized according to the metropolitan status of their current and previous residences, resulting in such groups as

movers within an MSA/ PMSA, movers between MSA/

PMSA’s, movers from nonmetropolitan areas to MSA/ PMSA,

and movers from central cities to the remainder of an

MSA/ PMSA. In some tabulations, these categories are

further subdivided by size of MSA/ PMSA, region of current

or previous residence, or movers within or between central

cities and the remainder of the same or a different MSA/ PMSA.

The size categories used in some tabulations for both

1985 and 1990 residence refer to the populations of the

MSA/ PMSA on April 1, 1990; that is, at the end of the

migration interval.

Some tabulations present data on inmigrants, outmigrants, and net migration. ‘‘Inmigrants’’ are generally defined

as those persons who entered a specified area by crossing

its boundary from some point outside the area. In some

tabulations, movers from abroad are included in the number of inmigrants; in others, only movers within the United

States are included.

‘‘Outmigrants’’ are persons who depart from a specific

area by crossing its boundary to a point outside it, but

without leaving the United States. ‘‘Net migration’’ is

calculated by subtracting the number of outmigrants from

the number of inmigrants and, depending upon the particular tabulation, may or may not include movers from

abroad. The net migration for the area is net inmigration if

the result was positive and net outmigration if the result

was negative. In the tabulations, net outmigration is indicated by a minus sign (-).

Inmigrants and outmigrants for States include only

those persons who did not live in the same State in 1985

and 1990; that is, they exclude persons who moved

between counties within the same State. Thus, the sum of

the inmigrants to (or outmigrants from) all counties in any

State is greater than the number of inmigrants to (or

outmigrants from) that State. However, in the case of net

migration, the sum of the nets for all the counties within a

State equal the net for the State. In the same fashion, the

net migration for a division or region equals the sum of the

nets for the States comprising that division or region, while

the number of inmigrants and outmigrants for that division

or region is less than the sum of the inmigrants or

outmigrants for the individual States.

The number of persons who were living in a different

house in 1985 is somewhat less than the total number of

moves during the 5-year period. Some persons in the same

house at the two dates had moved during the 5-year period

but by the time of the census had returned to their 1985

residence. Other persons who were living in a different

house had made one or more intermediate moves. For

similar reasons, the number of persons living in a different

county, MSA/ PMSA, or State or moving between nonmetropolitan areas may be understated.

Comparability—Similar questions were asked on all previous censuses beginning in 1940, except the questions in

1950 referred to residence 1 year earlier rather than 5

years earlier. Although the questions in the 1940 census

covered a 5-year period, comparability with that census

was reduced somewhat because of different definitions

and categories of tabulation. Comparability with the 1960

and 1970 census is also somewhat reduced because

nonresponse was not allocated in those earlier censuses.

For the 1980 census, nonresponse was allocated in a

manner similar to the 1990 allocation scheme.

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SCHOOL ENROLLMENT AND LABOR FORCE

STATUS

Tabulation of data on enrollment, educational attainment, and labor force status for the population 16 to 19

years old allows for calculation of the proportion of the age

group who are not enrolled in school and not high school

graduates or ‘‘dropouts’’ and an unemployment rate for the

‘‘dropout’’ population. Definitions of the three topics and

descriptions of the census items from which they were

derived are presented in ‘‘Educational Attainment,’’ ‘‘Employment Status,’’ and ‘‘School Enrollment and Type of School.’’

The published tabulations include both the civilian and

Armed Forces populations, but labor force status is provided for the civilian population only. Therefore, the component labor force statuses may not add to the total lines

enrolled in school, high school graduate, and not high

school graduate. The difference is Armed Forces.

Comparability—The tabulation of school enrollment by

labor force status is similar to that published in 1980

census reports. The 1980 census tabulation included a

single data line for Armed Forces; however, enrollment,

attainment, and labor force status data were shown for the

civilian population only. In 1970, a tabulation was included

for 16 to 21 year old males not attending school.

SCHOOL ENROLLMENT AND TYPE OF SCHOOL

Data on school enrollment were derived from answers

to questionnaire item 11, which was asked of a sample of

persons. Persons were classified as enrolled in school if

they reported attending a ‘‘regular’’ public or private school

or college at any time between February 1, 1990, and the

time of enumeration. The question included instructions to

‘‘include only nursery school, kindergarten, elementary

school, and schooling which would lead to a high school

diploma or a college degree’’ as regular school. Instructions included in the 1990 respondent instruction guide,

which was mailed with the census questionnaire, further

specified that enrollment in a trade or business school,

company training, or tutoring were not to be included

unless the course would be accepted for credit at a regular

elementary school, high school, or college. Persons who

did not answer the enrollment question were assigned the

enrollment status and type of school of a person with the

same age, race or Hispanic origin, and, at older ages, sex,

whose residence was in the same or a nearby area.

Public and Private School—Includes persons who attended

school in the reference period and indicated they were

enrolled by marking one of the questionnaire categories for

either ‘‘public school, public college’’ or ‘‘private school,

private college.’’ The instruction guide defines a public

school as ‘‘any school or college controlled and supported

by a local, county, State, or Federal Government.’’ Schools

supported and controlled primarily by religious organizations or other private groups are defined as private.

Persons who filled both the ‘‘public’’ and ‘‘private’’ circles

are edited to the first entry, ‘‘public.’’

Level of School in Which Enrolled—Persons who were

enrolled in school were classified as enrolled in ‘‘preprimary school,’’ ‘‘elementary or high school,’’ or ‘‘college’’

according to their response to question 12 (years of school

completed or highest degree received). Persons who were

enrolled and reported completing nursery school or less

were classified as enrolled in ‘‘preprimary school,’’ which

includes kindergarten. Similarly, enrolled persons who had

completed at least kindergarten, but not high school, were

classified as enrolled in elementary or high school. Enrolled

persons who reported completing high school or some

college or having received a post-secondary degree were

classified as enrolled in ‘‘college.’’ Enrolled persons who

reported completing the twelfth grade but receiving ‘‘NO

DIPLOMA’’ were classified as enrolled in high school. (For

more information on level of school, see the discussion

under ‘‘Educational Attainment.’’)

Comparability—School enrollment questions have been

included in the census since 1840; grade attended was

first asked in 1940; type of school was first asked in 1960.

Before 1940, the enrollment question in various censuses

referred to attendance in the preceding six months or the

preceding year. In 1940, the reference was to attendance

in the month preceding the census, and in the 1950 and

subsequent censuses, the question referred to attendance

in the two months preceding the census date.

Until the 1910 census, there were no instructions limiting the kinds of schools in which enrollment was to be

counted. Starting in 1910, the instructions indicated that

attendance at ‘‘school, college, or any educational institution’’ was to be counted. In 1930 an instruction to include

‘‘night school’’ was added. In the 1940 instructions, night

school, extension school, or vocational school were included

only if the school was part of the regular school system.

Correspondence school work of any kind was excluded. In

the 1950 instructions, the term ‘‘regular school’’ was

introduced, and it was defined as schooling which ‘‘advances

a person towards an elementary or high school diploma or

a college, university, or professional school degree.’’ Vocational, trade, or business schools were excluded unless

they were graded and considered part of a regular school

system. On-the-job training was excluded, as was nursery

school. Instruction by correspondence was excluded unless

it was given by a regular school and counted towards

promotion.

In 1960, the question used the term ‘‘regular school or

college’’ and a similar, though expanded, definition of

‘‘regular’’ was included in the instructions, which continued

to exclude nursery school. Because of the census’ use of

mailed questionnaires, the 1960 census was the first in

which instructions were written for the respondent as well

as enumerators. In the 1970 census, the questionnaire

used the phrase ‘‘regular school or college’’ and included

instructions to ‘‘count nursery school, kindergarten, and

schooling which leads to an elementary school certificate,

high school diploma, or college degree.’’ Instructions in a

separate document specified that to be counted as regular

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school, nursery school must include instruction as an

important and integral phase of its program, and continued

the exclusion of vocational, trade, and business schools.

The 1980 census question was very similar to the 1970

question, but the separate instruction booklet did not

require that nursery school include substantial instructional

content in order to be counted.

The age range for which enrollment data have been

obtained and published has varied over the censuses.

Information on enrollment was recorded for persons of all

ages in the 1930 and 1940 and 1970 through 1990; for

persons under age 30, in 1950; and for persons age 5 to

34, in 1960. Most of the published enrollment figures

referred to persons age 5 to 20 in the 1930 census, 5 to 24

in 1940, 5 to 29 in 1950, 5 to 34 in 1960, 3 to 34 in 1970,

and 3 years old and over in 1980. This growth in the age

group whose enrollment was reported reflects increased

interest in the number of children in preprimary schools

and in the number of older persons attending colleges and

universities.

In the 1950 and subsequent censuses, college students

were enumerated where they lived while attending college,

whereas in earlier censuses, they generally were enumerated at their parental homes. This change should not affect

the comparability of national figures on college enrollment

since 1940; however, it may affect the comparability over

time of enrollment figures at sub-national levels.

Type of school was first introduced in the 1960 census,

where a separate question asked the enrolled persons

whether they were in a ‘‘public’’ or ‘‘private’’ school. Since

the 1970 census, the type of school was incorporated into

the response categories for the enrollment question and

the terms were changed to ‘‘public,’’ ‘‘parochial,’’ and

‘‘other private.’’ In the 1980 census, ‘‘private, church

related’’ and ‘‘private, not church related’’ replaced ‘‘parochial’’ and ‘‘other private.’’

Grade of enrollment was first available in the 1940

census, where it was obtained from responses to the

question on highest grade of school completed. Enumerators were instructed that ‘‘for a person still in school, the

last grade completed will be the grade preceding the one

in which he or she was now enrolled.’’ From 1950 to 1980,

grade of enrollment was obtained from the highest grade

attended in the two-part question used to measure educational attainment. (For more information, see the discussion under ‘‘Educational Attainment.’’) The form of the

question from which level of enrollment was derived in the

1990 census most closely corresponds to the question

used in 1940. While data from prior censuses can be

aggregated to provide levels of enrollment comparable to

the 1990 census, 1990 data cannot be disaggregated to

show single grade of enrollment as in previous censuses.

Data on school enrollment were also collected and

published by other Federal, State, and local government

agencies. Where these data were obtained from administrative records of school systems and institutions of higher

learning, they were only roughly comparable with data from

population censuses and household surveys because of

differences in definitions and concepts, subject matter

covered, time references, and enumeration methods. At

the local level, the difference between the location of the

institution and the residence of the student may affect the

comparability of census and administrative data. Differences between the boundaries of school districts and

census geographic units also may affect these comparisons.

SELF-CARE LIMITATION STATUS

The data on self-care limitation status were derived from

answers to questionnaire item 19b, which was asked of a

sample of persons 15 years old and over. Persons were

identified as having a self-care limitation if they had a

health condition that had lasted for 6 or more months and

which made it difficult to take care of their own personal

needs, such as dressing, bathing, or getting around inside

the home.

The term ‘‘health condition’’ referred to both physical

and mental conditions. A temporary health problem, such

as a broken bone that was expected to heal normally was

not considered a health condition.

Comparability—This was the first time that a question on

self-care limitation was included in the census.

SEX

The data on sex were derived from answers to questionnaire item 3, which was asked of all persons. For most

cases in which sex was not reported, it was determined by

the appropriate entry from the person’s given name and

household relationship. Otherwise, sex was imputed according to the relationship to the householder and the age and

marital status of the person. For more information on

imputation, see Appendix C, Accuracy of the Data.

Sex Ratio—A measure derived by dividing the total number of males by the total number of females and multiplying

by 100.

Comparability—A question on the sex of individuals has

been asked of the total population in every census.

VETERAN STATUS

Data on veteran status, period of military service, and

years of military service were derived from answers to

questionnaire item 17, which was asked of a sample of

persons.

Veteran Status—The data on veteran status were derived

from responses to question 17a. For census data products, a ‘‘civilian veteran’’ is a person 16 years old or over

who had served (even for a short time) but is not now

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serving on active duty in the U.S. Army, Navy, Air Force,

Marine Corps, or the Coast Guard, or who served as a

Merchant Marine seaman during World War II. Persons

who served in the National Guard or military Reserves are

classified as veterans only if they were ever called or

ordered to active duty not counting the 4-6 months for

initial training or yearly summer camps. All other civilians

16 years old and over are classified as nonveterans.

Period of Military Service—Persons who indicated in

question 17a that they had served on active duty (civilian

veterans) or were now on active duty were asked to

indicate in question 17b the period or periods in which they

served. Persons serving in at least one wartime period are

classified in their most recent wartime period. For example,

persons who served both during the Korean conflict and

the post-Korean peacetime era between February 1955

and July 1964 are classified in one of the two ‘‘Korean

conflict’’ categories. If the same person had also served

during the Vietnam era, he or she would instead be

included in the ‘‘Vietnam era and Korean conflict’’ category. The responses were edited to eliminate inconsistencies between reported period(s) of service and the age of

the person and to cancel out reported combinations of

periods containing unreasonable gaps (for example, a

person could not serve during World War I and the Korean

conflict without serving during World War II). Note that the

period of service categories shown in this report are

mutually exclusive.

Years of Military Service—Persons who indicated in

question 17a that they had served on active duty (civilian

veterans) or were now on active duty were asked to report

the total number of years of active-duty service in question

17c. The data were edited for consistency with responses

to question 17b (Period of Military Service) and with the

age of the person.

Limitation of the Data—There may be a tendency for the

following kinds of persons to report erroneously that they

served on active duty in the Armed Forces: (a) persons

who served in the National Guard or military Reserves but

were never called to active duty; (b) civilian employees or

volunteers for the USO, Red Cross, or the Department of

Defense (or its predecessor Departments, War and Navy);

and (c) employees of the Merchant Marine or Public Health

Service. There may also be a tendency for persons to

erroneously round up months to the nearest year in

question 17c (for example, persons with 1 year 8 months

of active duty military service may mistakenly report ‘‘2

years’’).

Comparability—Since census data on veterans were

based on self-reported responses, they may differ from

data from other sources such as administrative records of

the Department of Defense. Census data may also differ

from Veterans Administration data on the benefits-eligible

population, since factors determining eligibility for veterans

benefits differ from the rules for classifying veterans in the

census.

The wording of the question on veteran status (17a) for

1990 was expanded from the veteran/ not veteran question in 1980 to include questions on current active duty

status and service in the military Reserves and the National

Guard. The expansion was intended to clarify the appropriate response for persons in the Armed Forces and for

persons who served in the National Guard or military

Reserve units only. For the first time in a census, service

during World War II as a Merchant Marine Seaman was

considered active-duty military service and persons with

such service were counted as veterans. An additional

period of military service, ‘‘September 1980 or later’’ was

added in 1990. As in 1970 and 1980, persons reporting

more than one period of service are shown in the most

recent wartime period of service category. Question 17c

(Years of Military Service) was new for 1990.

WORK DISABILITY STATUS

The data on work disability were derived from answers

to questionnaire item 18, which was asked of a sample of

persons 15 years old and over. Persons were identified as

having a work disability if they had a health condition that

had lasted for 6 or more months and which limited the kind

or amount of work they could do at a job or business. A

person was limited in the kind of work he or she could do

if the person had a health condition which restricted his or

her choice of jobs. A person was limited in the amount of

work if he or she was not able to work full-time. Persons

with a work disability were further classified as ‘‘Prevented

from working’’ or ‘‘Not prevented from working.’’

The term ‘‘health condition’’ referred to both physical

and mental conditions. A temporary health problem, such

as a broken bone that was expected to heal normally, was

not considered a health condition.

Comparability—The wording of the question on work

disability was the same in 1990 as in 1980. Information on

work disability was first collected in 1970. In that census,

the work disability question did not contain a clause

restricting the definition of disability to limitations caused

by a health condition that had lasted 6 or more months;

however, it did contain a separate question about the

duration of the disability.

WORK STATUS IN 1989

The data on work status in 1989 were derived from

answers to questionnaire item 31, which was asked of a

sample of persons. Persons 16 years old and over who

worked 1 or more weeks according to the criteria described

below are classified as ‘‘Worked in 1989.’’ All other

persons 16 years old and over are classified as ‘‘Did not

work in 1989.’’ Some tabulations showing work status in

1989 include 15 year olds; these persons, by definition, are

classified as ‘‘Did not work in 1989.’’

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Weeks Worked in 1989

The data on weeks worked in 1989 were derived from

responses to questionnaire item 31b. Question 31b (Weeks

Worked in 1989) was asked of persons 16 years old and

over who indicated in question 31a that they worked in

1989.

The data pertain to the number of weeks during 1989 in

which a person did any work for pay or profit (including paid

vacation and paid sick leave) or worked without pay on a

family farm or in a family business. Weeks of active service

in the Armed Forces are also included.

Usual Hours Worked Per Week Worked in 1989

The data on usual hours worked per week worked in

1989 were derived from answers to questionnaire item

31c. This question was asked of persons 16 years old and

over who indicated that they worked in 1989.

The data pertain to the number of hours a person

usually worked during the weeks worked in 1989. The

respondent was to report the number of hours worked per

week in the majority of the weeks he or she worked in

1989. If the hours worked per week varied considerably

during 1989, the respondent was to report an approximate

average of the hours worked per week. The statistics on

usual hours worked per week in 1989 are not necessarily

related to the data on actual hours worked during the

census reference week (question 21b).

Persons 16 years old and over who reported that they

usually worked 35 or more hours each week during the

weeks they worked are classified as ‘‘Usually worked full

time;’’ persons who reported that they usually worked 1 to

34 hours are classified as ‘‘Usually worked part time.’’

Year-Round Full-Time Workers—All persons 16 years

old and over who usually worked 35 hours or more per

week for 50 to 52 weeks in 1989.

Number of Workers in Family in 1989—The term ‘‘worker’’

as used for these data is defined based on the criteria for

Work Status in 1989.

Limitation of the Data—It is probable that the number of

persons who worked in 1989 and the number of weeks

worked are understated since there was some tendency

for respondents to forget intermittent or short periods of

employment or to exclude weeks worked without pay.

There may also be a tendency for persons not to include

weeks of paid vacation among their weeks worked; one

result may be that the census figures may understate the

number of persons who worked ‘‘50 to 52 weeks.’’

Comparability—The data on weeks worked collected in

the 1990 census were comparable with data from the

1980, 1970, and 1960 censuses, but may not be entirely

comparable with data from the 1940 and 1950 censuses.

Since the 1960 census, two separate questions have been

used to obtain this information. The first identified persons

with any work experience during the year and, thus,

indicated those persons for whom the questions on number of weeks worked applied. In 1940 and 1950, however,

the questionnaires contained only a single question on

number of weeks worked.

In 1970, persons responded to the question on weeks

worked by indicating one of six weeks-worked intervals. In

1980 and 1990, persons were asked to enter the specific

number of weeks they worked.

YEAR OF ENTRY

The data on year of entry were derived from answers to

questionnaire item 10, which was asked of a sample of

persons. The question, ‘‘When did this person come to the

United States to stay?’’ was asked of persons who indicated in the question on citizenship that they were not born

in the United States. (For more information, see the

discussion under ‘‘Citizenship.’’)

The 1990 census questions, tabulations, and census

data products about citizenship and year of entry include

no reference to immigration. All persons who were born

and resided outside the United States before becoming

residents of the United States have a date of entry. Some

of these persons are U.S. citizens by birth (e.g., persons

born in Puerto Rico or born abroad of American parents).

To avoid any possible confusion concerning the date of

entry of persons who are U.S. citizens by birth, the term,

‘‘year of entry’’ is used in this report instead of the term

‘‘year of immigration.’’

Limitation of the Data—The census questions on nativity,

citizenship, and year of entry were not designed to measure the degree of permanence of residence in the United

States. The phrase, ‘‘to stay’’ was used to obtain the year

in which the person became a resident of the United

States. Although the respondent was directed to indicate

the year he or she entered the country ‘‘to stay,’’ it was

difficult to ensure that respondents interpreted the phrase

correctly.

Comparability—A question on year of entry, (alternately

called ‘‘year of immigration’’) was asked in each decennial

census from 1890 to 1930, 1970, and 1980. In 1980, the

question on year of entry included six arrival time intervals.

The number of arrival intervals was expanded to ten in

1990. In 1980, the question on year of entry was asked

only of the foreign-born population. In 1990, all persons

who responded to the long-form questionnaire and were

not born in the United States were to complete the

question on year of entry.

HOUSING CHARACTERISTICS

LIVING QUARTERS

Living quarters are classified as either housing units or

group quarters. (For more information, see the discussion

of ‘‘Group Quarters’’ under Population Characteristics.)

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Usually, living quarters are in structures intended for

residential use (for example, a one-family home, apartment

house, hotel or motel, boarding house, or mobile home).

Living quarters also may be in structures intended for

nonresidential use (for example, the rooms in a warehouse

where a guard lives), as well as in places such as tents,

vans, shelters for the homeless, dormitories, barracks, and

old railroad cars.

Housing Units—A housing unit is a house, an apartment,

a mobile home or trailer, a group of rooms or a single room

occupied as separate living quarters or, if vacant, intended

for occupancy as separate living quarters. Separate living

quarters are those in which the occupants live and eat

separately from any other persons in the building and

which have direct access from outside the building or

through a common hall.

The occupants may be a single family, one person living

alone, two or more families living together, or any other

group of related or unrelated persons who share living

arrangements. For vacant units, the criteria of separateness and direct access are applied to the intended occupants whenever possible. If that information cannot be

obtained, the criteria are applied to the previous occupants.

Both occupied and vacant housing units are included in

the housing unit inventory, except that recreational vehicles, boats, vans, tents, railroad cars, and the like are

included only if they are occupied as someone’s usual

place of residence. Vacant mobile homes are included

provided they are intended for occupancy on the site

where they stand. Vacant mobile homes on dealers’ sales

lots, at the factory, or in storage yards are excluded from

the housing inventory.

If the living quarters contains nine or more persons

unrelated to the householder or person in charge (a total of

at least 10 unrelated persons), it is classified as group

quarters. If the living quarters contains eight or fewer

persons unrelated to the householder or person in charge,

it is classified as a housing unit.

Occupied Housing Units—A housing unit is classified as

occupied if it is the usual place of residence of the person

or group of persons living in it at the time of enumeration,

or if the occupants are only temporarily absent; that is,

away on vacation or business. If all the persons staying in

the unit at the time of the census have their usual place of

residence elsewhere, the unit is classified as vacant. A

household includes all the persons who occupy a housing

unit as their usual place of residence. By definition, the

count of occupied housing units for 100-percent tabulations is the same as the count of households or householders. In sample tabulations, the counts of household

and occupied housing units may vary slightly because of

different sample weighting methods.

Vacant Housing Units—A housing unit is vacant if no one

is living in it at the time of enumeration, unless its occupants are only temporarily absent. Units temporarily occupied at the time of enumeration entirely by persons who

have a usual residence elsewhere also are classified as

vacant. (For more information, see discussion under ‘‘Usual

Home Elsewhere.’’)

New units not yet occupied are classified as vacant

housing units if construction has reached a point where all

exterior windows and doors are installed and final usable

floors are in place. Vacant units are excluded if they are

open to the elements; that is, the roof, walls, windows,

and/ or doors no longer protect the interior from the

elements, or if there is positive evidence (such as a sign on

the house or in the block) that the unit is condemned or is

to be demolished. Also excluded are quarters being used

entirely for nonresidential purposes, such as a store or an

office, or quarters used for the storage of business supplies or inventory, machinery, or agricultural products.

Hotels, Motels, Rooming Houses, Etc.—Occupied rooms

or suites of rooms in hotels, motels, and similar places are

classified as housing units only when occupied by permanent residents; that is, persons who consider the hotel as

their usual place of residence or have no usual place of

residence elsewhere. Vacant rooms or suites of rooms are

classified as housing units only in those hotels, motels, and

similar places in which 75 percent or more of the accommodations are occupied by permanent residents.

If any of the occupants in a rooming or boarding house

live and eat separately from others in the building and have

direct access, their quarters are classified as separate

housing units.

Staff Living Quarters—The living quarters occupied by

staff personnel within any group quarters are separate

housing units if they satisfy the housing unit criteria of

separateness and direct access; otherwise, they are considered group quarters.

Comparability—The first Census of Housing in 1940

established the ‘‘dwelling unit’’ concept. Although the term

became ‘‘housing unit’’ and the definition has been modified slightly in succeeding censuses, the 1990 definition is

essentially comparable to previous censuses. There was

no change in the housing unit definition between 1980 and

1990.

ACREAGE

The data on acreage were obtained from questionnaire

items H5a and H19a. Question H5a was asked at all

occupied and vacant one-family houses and mobile homes.

Question H19a was asked on a sample basis at occupied

and vacant one-family houses and mobile homes.

Question H5a asks whether the house or mobile home

is located on a place of 10 or more acres. The intent of this

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item is to exclude owner-occupied and renter-occupied

one-family houses on 10 or more acres from the specified

owner- and renter-occupied universes for value and rent

tabulations.

Question H19a provides data on whether the unit is

located on less than 1 acre. The main purpose of this item,

in conjunction with question H19b on agricultural sales, is

to identify farm units. (For more information, see discussion under ‘‘Farm Residence.’’)

For both items, the land may consist of more than one

tract or plot. These tracts or plots are usually adjoining;

however, they may be separated by a road, creek, another

piece of land, etc.

Comparability—Question H5a is similar to that asked in

1970 and 1980. This item was asked for the first time of

mobile home occupants in 1990. Question H19a is an

abbreviated form of a question asked on a sample basis in

1980. In previous censuses, information on city or suburban lot and number of acres was obtained also.

AGRICULTURAL SALES

Data on the sales of agricultural crops were obtained

from questionnaire item H19b, which was asked on a

sample basis at occupied one-family houses and mobile

homes located on lots of 1 acre or more. Data for this item

exclude units on lots of less than 1 acre, units located in

structures containing 2 or more units, and all vacant units.

This item refers to the total amount (before taxes and

expenses) received in 1989 from the sale of crops, vegetables, fruits, nuts, livestock and livestock products, and

nursery and forest products, produced on ‘‘this property.’’

Respondents new to a unit were asked to estimate total

agricultural sales in 1989 even if some portion of the sales

had been made by other occupants of the unit.

This item is used mainly to classify housing units as farm

or nonfarm residences, not to provide detailed information

on the sale of agricultural products. Detailed information

on the sale of agricultural products is provided by the

Census Bureau’s Census of Agriculture (Factfinder for the

Nation: Agricultural Statistics, Bureau of the Census, 1989).

(For more information, see the discussion under ‘‘Farm

Residence.’’)

BEDROOMS

The data on bedrooms were obtained from questionnaire item H9, which was asked at both occupied and

vacant housing units. This item was asked on a sample

basis. The number of bedrooms is the count of rooms

designed to be used as bedrooms; that is, the number of

rooms that would be listed as bedrooms if the house or

apartment were on the market for sale or for rent. Included

are all rooms intended to be used as bedrooms even if

they currently are being used for some other purpose. A

housing unit consisting of only one room, such as a

one-room efficiency apartment, is classified, by definition,

as having no bedroom.

Comparability—Data on bedrooms have been collected

in every census since 1960. In 1970 and 1980, data for

bedrooms were shown only for year-round units. In past

censuses, a room was defined as a bedroom if it was used

mainly for sleeping even if also used for other purposes.

Rooms that were designed to be used as bedrooms but

used mainly for other purposes were not considered to be

bedrooms. A distribution of housing units by number of

bedrooms calculated from data collected in a 1986 test

showed virtually no differences in the two versions except

in the two bedroom category, where the previous ‘‘use’’

definition showed a slightly lower proportion of units.

BOARDED-UP STATUS

Boarded-up status was obtained from questionnaire

item C2 and was determined for all vacant units. Boarded-up

units have windows and doors covered by wood, metal, or

masonry to protect the interior and to prevent entry into the

building. A single-unit structure, a unit in a multi-unit

structure, or an entire multi-unit structure may be boarded-up

in this way. For certain census data products, boarded-up

units are shown only for units in the ‘‘Other vacant’’

category. A unit classified as ‘‘Usual home elsewhere’’ can

never be boarded up. (For more information, see the

discussion under ‘‘Usual Home Elsewhere.’’)

Comparability—This item was first asked in the 1980

census and was shown only for year-round vacant housing

units. In 1990, data are shown for all vacant housing units.

BUSINESS ON PROPERTY

The data for business on property were obtained from

questionnaire item H5b, which was asked at all occupied

and vacant one-family houses and mobile homes. This

question is used to exclude owner-occupied one-family

houses with business or medical offices on the property

from certain statistics on financial characteristics.

A business must be easily recognizable from the outside. It usually will have a separate outside entrance and

have the appearance of a business, such as a grocery

store, restaurant, or barber shop. It may be either attached

to the house or mobile home or be located elsewhere on

the property. Those housing units in which a room is used

for business or professional purposes and have no recognizable alterations to the outside are not considered as

having a business. Medical offices are considered

businesses for tabulation purposes.

Comparability—Data on business on property have been

collected since 1940.

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CONDOMINIUM FEE

The data on condominium fee were obtained from

questionnaire item H25, which was asked at owner-occupied

condominiums. This item was asked on a sample basis. A

condominium fee normally is charged monthly to the

owners of the individual condominium units by the condominium owners association to cover operating, maintenance, administrative, and improvement costs of the common property (grounds, halls, lobby, parking areas, laundry

rooms, swimming pool, etc.) The costs for utilities and/ or

fuels may be included in the condominium fee if the units

do not have separate meters.

Data on condominium fees may include real estate tax

and/ or insurance payments for the common property, but

do not include real estate taxes or fire, hazard, and flood

insurance for the individual unit already reported in questions H21 and H22.

Amounts reported were the regular monthly payment,

even if paid by someone outside the household or remain

unpaid. Costs were estimated as closely as possible when

exact costs were not known.

The data from this item were added to payments for

mortgages (both first and junior mortgages and home

equity loans); real estate taxes; fire, hazard, and flood

insurance payments; and utilities and fuels to derive ‘‘Selected

Monthly Owner Costs’’ and ‘‘Selected Monthly Owner

Costs as a Percentage of Household Income in 1989’’ for

condominium owners.

Comparability—This is a new item in 1990.

CONDOMINIUM STATUS

The data on condominium housing units were obtained

from questionnaire item H18, which was asked on a

sample basis at both occupied and vacant housing units.

Condominium is a type of ownership that enables a person

to own an apartment or house in a development of similarly

owned units and to hold a common or joint ownership in

some or all of the common areas and facilities such as

land, roof, hallways, entrances, elevators, swimming pool,

etc. Condominiums may be single-family houses as well as

units in apartment buildings. A condominium unit need not

be occupied by the owner to be counted as such. A unit

classified as ‘‘mobile home or trailer’’ or ‘‘other’’ (see

discussion under ‘‘Units in Structure’’) cannot be a condominium unit.

Limitation of the Data—Testing done prior to the 1980

and 1990 censuses indicated that the number of condominiums may be slightly overstated.

Comparability—In 1970, condominiums were grouped

together with cooperative housing units, and the data were

reported only for owner-occupied cooperatives and condominiums. Beginning in 1980, the census identified all

condominium units and the data were shown for renteroccupied and vacant year-round condominiums as well as

owner occupied. In 1970 and 1980, the question on

condominiums was asked on a 100-percent basis. In 1990,

it was asked on a sample basis.

CONTRACT RENT

The data on contract rent (also referred to as ‘‘rent

asked’’ for vacant units) were obtained from questionnaire

item H7a, which was asked at all occupied housing units

that were rented for cash rent and all vacant housing units

that were for rent at the time of enumeration.

Housing units that are renter occupied without payment

of cash rent are shown separately as ‘‘No cash rent’’ in

census data products. The unit may be owned by friends or

relatives who live elsewhere and who allow occupancy

without charge. Rent-free houses or apartments may be

provided to compensate caretakers, ministers, tenant farmers, sharecroppers, or others.

Contract rent is the monthly rent agreed to or contracted for, regardless of any furnishings, utilities, fees,

meals, or services that may be included. For vacant units,

it is the monthly rent asked for the rental unit at the time of

enumeration.

If the contract rent includes rent for a business unit or

for living quarters occupied by another household, the

respondent was instructed to report that part of the rent

estimated to be for his or her unit only. Respondents were

asked to report rent only for the housing unit enumerated

and to exclude any rent paid for additional units or for

business premises.

If a renter pays rent to the owner of a condominium or

cooperative, and the condominium fee or cooperative

carrying charge is also paid by the renter to the owner, the

respondent was instructed to include the fee or carrying

charge.

If a renter receives payments from lodgers or roomers

who are listed as members of the household, the respondent was instructed to report the rent without deduction for

any payments received from the lodgers or roomers. The

respondent was instructed to report the rent agreed to or

contracted for even if paid by someone else such as

friends or relatives living elsewhere, or a church or welfare

agency.

In some tabulations, contract rent is presented for all

renter-occupied housing units, as well as specified renteroccupied and vacant-for-rent units. Specified renter-occupied

and specified vacant-for-rent units exclude one-family houses

on 10 or more acres. (For more information on rent, see

the discussion under ‘‘Gross Rent.’’)

Median and Quartile Contract Rent—The median divides

the rent distribution into two equal parts. Quartiles divide

the rent distribution into four equal parts. In computing

median and quartile contract rent, units reported as ‘‘No

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cash rent’’ are excluded. Median and quartile rent calculations are rounded to the nearest whole dollar. (For more

information on medians and quartiles, see the discussion

under ‘‘Derived Measures.’’)

Aggregate Contract Rent—To calculate aggregate contract rent, the amount assigned for the category ‘‘Less

than $80’’ is $50. The amount assigned to the category

‘‘$1,000 or more’’ is $1,250. Mean contract rent is rounded

to the nearest whole dollar. (For more information on

aggregates and means, see the discussion under ‘‘Derived

Measures.’’)

Limitation of the Data—In the 1970 and 1980 censuses,

contract rent for vacant units had high allocation rates,

about 35 percent.

Comparability—Data on this item have been collected

since 1930. For 1990, quartiles were added because the

range of rents and values in the United States has

increased in recent years. Upper and lower quartiles can

be used to note large rent and value differences among

various geographic areas.

DURATION OF VACANCY

The data for duration of vacancy (also referred to as

‘‘months vacant’’) were obtained from questionnaire item

D, which was completed by census enumerators. The

statistics on duration of vacancy refer to the length of time

(in months and years) between the date the last occupants

moved from the unit and the time of enumeration. The

data, therefore, do not provide a direct measure of the total

length of time units remain vacant.

For newly constructed units which have never been

occupied, the duration of vacancy is counted from the date

construction was completed. For recently converted or

merged units, the time is reported from the date conversion or merger was completed. Units occupied by an entire

household with a usual home elsewhere are assigned to

the ‘‘Less than 1 month’’ interval.

Comparability—Similar data have been collected since

1960. In 1970 and 1980, these data were shown only for

year-round vacant housing units. In 1990, these data are

shown for all vacant housing units.

FARM RESIDENCE

The data on farm residence were obtained from questionnaire items H19a and H19b. An occupied one-family

house or mobile home is classified as a farm residence if:

(1) the housing unit is located on a property of 1 acre or

more, and (2) at least $1,000 worth of agricultural products

were sold from the property in 1989. Group quarters and

housing units that are in multi-unit buildings or vacant are

not included as farm residences.

A one-family unit occupied by a tenant household

paying cash rent for land and buildings is enumerated as a

farm residence only if sales of agricultural products from its

yard (as opposed to the general property on which it is

located) amounted to at least $1,000 in 1989. A one-family

unit occupied by a tenant household that does not pay

cash rent is enumerated as a farm residence if the

remainder of the farm (including its yard) qualifies as a

farm.

Farm residence is provided as an independent data item

only for housing units located in rural areas. It may be

derived for housing units in urban areas from the data

items on acreage and sales of agricultural products on the

public-use microdata sample (PUMS) files. (For more

information on PUMS, see Appendix F, Data Products and

User Assistance.)

The farm population consists of persons in households

living in farm residences. Some persons who are counted

on a property classified as a farm (including in some cases

farm workers) are excluded from the farm population. Such

persons include those who reside in multi-unit buildings or

group quarters.

Comparability—These are the same criteria that were

used to define a farm residence in 1980. In 1960 and 1970,

a farm was defined as a place of 10 or more acres with at

least $50 worth of agricultural sales or a place of less than

10 acres with at least $250 worth of agricultural sales.

Earlier censuses used other definitions. Note that the

definition of a farm residence differs from the definition of

a farm in the Census of Agriculture (Factfinder for the

Nation: Agricultural Statistics, Bureau of the Census, 1989).

GROSS RENT

Gross rent is the contract rent plus the estimated

average monthly cost of utilities (electricity, gas, and

water) and fuels (oil, coal, kerosene, wood, etc.) if these

are paid for by the renter (or paid for the renter by

someone else). Gross rent is intended to eliminate differentials which result from varying practices with respect to

the inclusion of utilities and fuels as part of the rental

payment. The estimated costs of utilities and fuels are

reported on a yearly basis but are converted to monthly

figures for the tabulations. Renter units occupied without

payment of cash rent are shown separately as ‘‘No cash

rent’’ in the tabulations. Gross rent is calculated on a

sample basis.

Comparability—Data on gross rent have been collected

since 1940 for renter-occupied housing units. In 1980,

costs for electricity and gas were collected as average

monthly costs. In 1990, all utility and fuel costs were

collected as yearly costs and divided by 12 to provide an

average monthly cost.

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GROSS RENT AS A PERCENTAGE OF

HOUSEHOLD INCOME IN 1989

Gross rent as a percentage of household income in

1989 is a computed ratio of monthly gross rent to monthly

household income (total household income in 1989 divided

by 12). The ratio was computed separately for each unit

and was rounded to the nearest whole percentage. Units

for which no cash rent is paid and units occupied by

households that reported no income or a net loss in 1989

comprise the category ‘‘Not computed.’’ This item is

calculated on a sample basis.

HOUSE HEATING FUEL

The data on house heating fuel were obtained from

questionnaire item H14, which was asked at occupied

housing units. This item was asked on a sample basis. The

data show the type of fuel used most to heat the house or

apartment.

Utility Gas—Includes gas piped through underground

pipes from a central system to serve the neighborhood.

Bottled, Tank, or LP Gas—Includes liquid propane gas

stored in bottles or tanks which are refilled or exchanged

when empty.

Fuel Oil, Kerosene, Etc.—Includes fuel oil, kerosene,

gasoline, alcohol, and other combustible liquids.

Wood—Includes purchased wood, wood cut by household

members on their property or elsewhere, driftwood, sawmill or construction scraps, or the like.

Solar Energy—Includes heat provided by sunlight which is

collected, stored, and actively distributed to most of the

rooms.

Other Fuel—Includes all other fuels not specified elsewhere.

No Fuel Used—Includes units that do not use any fuel or

that do not have heating equipment.

Comparability—Data on house heating fuel have been

collected since 1940. The category, ‘‘Solar energy’’ is new

for 1990.

INSURANCE FOR FIRE, HAZARD, AND FLOOD

The data on fire, hazard, and flood insurance were

obtained from questionnaire item H22, which was asked at

a sample of owner-occupied one-family houses, condominiums, and mobile homes. The statistics for this item refer to

the annual premium for fire, hazard, and flood insurance on

the property (land and buildings); that is, policies that

protect the property and its contents against loss due to

damage by fire, lightning, winds, hail, flood, explosion, and

so on.

Liability policies are included only if they are paid with

the fire, hazard, and flood insurance premiums and the

amounts for fire, hazard, and flood cannot be separated.

Premiums are included even if paid by someone outside

the household or remain unpaid. When premiums are paid

on other than a yearly basis, the premiums are converted

to a yearly basis.

The payment for fire, hazard, and flood insurance is

added to payments for real estate taxes, utilities, fuels, and

mortgages (both first and junior mortgages and home

equity loans) to derive ‘‘Selected Monthly Owner Costs’’

and ‘‘Selected Monthly Owner Costs as a Percentage of

Household Income in 1989.’’

A separate question (H23d) determines whether insurance premiums are included in the mortgage payment to

the lender(s). This makes it possible to avoid counting

these premiums twice in the computations.

Comparability—Data on payment for fire and hazard

insurance were collected for the first time in 1980. Flood

insurance was not specifically mentioned in the wording of

the question in 1980. The question was asked only at

owner-occupied one-family houses. Excluded were mobile

homes, condominiums, houses with a business or medical

office on the property, houses on 10 or more acres, and

housing units in multi-unit buildings. In 1990, the question

was asked of all one-family owner-occupied houses, including houses on 10 or more acres. It also was asked at

mobile homes, condominiums, and one-family houses with

a business or medical office on the property.

KITCHEN FACILITIES

Data on kitchen facilities were obtained from questionnaire item H11, which was asked at both occupied and

vacant housing units. A unit has complete kitchen facilities

when it has all of the following: (1) an installed sink with

piped water, (2) a range, cook top and convection or

microwave oven, or cookstove, and (3) a refrigerator. All

kitchen facilities must be located in the structure. They

need not be in the same room. Portable cooking equipment is not considered a range or cookstove. An ice box is

not considered to be a refrigerator.

Comparability—Data on complete kitchen facilities were

collected for the first time in 1970. Earlier censuses

collected data on individual components, such as kitchen

sink and type of refrigeration equipment. In 1970 and 1980,

data for kitchen facilities were shown only for year-round

units. In 1990, data are shown for all housing units.

MEALS INCLUDED IN RENT

The data on meals included in the rent were obtained

from questionnaire item H7b, which was asked of all

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occupied housing units that were rented for cash and all

vacant housing units that were for rent at the time of

enumeration.

The statistics on meals included in rent are presented

for specified renter-occupied and specified vacant-for-rent

units. Specified renter-occupied and specified vacant-forrent units exclude one-family houses on 10 or more acres.

(For more information, see the discussion under ‘‘Contract

Rent.’’)

Comparability—This is a new item in 1990. It is intended

to measure ‘‘congregate’’ housing, which generally is

considered to be housing units where the rent includes

meals and other services, such as transportation to shopping and recreation.

MOBILE HOME COSTS

The data on mobile home costs were obtained from

questionnaire item H26, which was asked at owner-occupied

mobile homes. This item was asked on a sample basis.

These data include the total yearly costs for personal

property taxes, land or site rent, registration fees, and

license fees on all owner-occupied mobile homes. The

instructions are to not include real estate taxes already

reported in question H21.

Costs are estimated as closely as possible when exact

costs are not known. Amounts are the total for an entire

12-month billing period, even if they are paid by someone

outside the household or remain unpaid.

The data from this item are added to payments for

mortgages, real estate taxes, fire, hazard, and flood insurance payments, utilities, and fuels to derive selected

monthly owner costs for mobile homes owners.

Comparability—This item is new for 1990.

MORTGAGE PAYMENT

The data on mortgage payment were obtained from

questionnaire item H23b, which was asked at owner

occupied one-family houses, condominiums, and mobile

homes. This item was asked on a sample basis. Question

H23b provides the regular monthly amount required to be

paid the lender for the first mortgage (deed of trust,

contract to purchase, or similar debt) on the property.

Amounts are included even if the payments are delinquent

or paid by someone else. The amounts reported are

included in the computation of ‘‘Selected Monthly Owner

Costs’’ and ‘‘Selected Monthly Owner Costs as a Percentage of Household Income in 1989’’ for units with a

mortgage.

The amounts reported include everything paid to the

lender including principal and interest payments, real estate

taxes, fire, hazard, and flood insurance payments, and

mortgage insurance premiums. Separate questions determine whether real estate taxes and fire, hazard, and flood

insurance payments are included in the mortgage payment

to the lender. This makes it possible to avoid counting

these components twice in the computation of ‘‘Selected

Monthly Owner Costs.’’

Comparability—Information on mortgage payment was

collected for the first time in 1980. It was collected only at

owner-occupied one-family houses. Excluded were mobile

homes, condominiums, houses with a business or medical

office on the property, one-family houses on 10 or more

acres, and housing units in multi-unit buildings. In 1990, the

questions on monthly mortgage payments were asked of

all owner-occupied one-family houses, including one-family

houses on 10 or more acres. They were also asked at

mobile homes, condominiums, and one-family houses with

a business or medical office.

The 1980 census obtained total regular monthly mortgage payments, including payments on second or junior

mortgages, from a single question. Two questions were

used in 1990; one for regular monthly payments on first

mortgages, and one for regular monthly payments on

second or junior mortgages or home equity loans. (For

more information, see the discussion under ‘‘Second or

Junior Mortgage Payment.’’)

MORTGAGE STATUS

The data on mortgage status were obtained from questionnaire items H23a and H24a, which were asked at

owner-occupied one-family houses, condominiums, and

mobile homes. ‘‘Mortgage’’ refers to all forms of debt

where the property is pledged as security for repayment of

the debt. It includes such debt instruments as deeds of

trust, trust deeds, contracts to purchase, land contracts,

junior mortgages and home equity loans.

A mortgage is considered a first mortgage if it has prior

claim over any other mortgage or if it is the only mortgage

on the property. All other mortgages, (second, third, etc.)

are considered junior mortgages. A home equity loan is

generally a junior mortgage. If no first mortgage is reported,

but a junior mortgage or home equity loan is reported, then

the loan is considered a first mortgage.

In most census data products, the tabulations for ‘‘Selected

Monthly Owner Costs’’ and ‘‘Selected Monthly Owner

Costs as a Percentage of Household Income in 1989’’

usually are shown separately for units ‘‘with a mortgage’’

and for units ‘‘not mortgaged.’’ The category ‘‘not mortgaged’’ is comprised of housing units owned free and clear

of debt.

Comparability—A question on mortgage status was included

in the 1940 and 1950 censuses, but not in the 1960 and

1970 censuses. The item was reinstated in 1980 along

with a separate question dealing with the existence of

second or junior mortgages. In 1980, the mortgage status

questions were asked at owner-occupied one-family houses

on less than 10 acres. Excluded were mobile homes,

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condominiums, houses with a business or medical office,

houses on 10 or more acres, and housing units in multi-unit

buildings. In 1990, the questions were asked of all onefamily owner-occupied housing units, including houses on

10 or more acres. They were also asked at mobile homes,

condominiums, and houses with a business or medical

office.

PERSONS IN UNIT

This item is based on the 100-percent count of persons

in occupied housing units. All persons occupying the

housing unit are counted, including the householder, occupants related to the householder, and lodgers, roomers,

boarders, and so forth.

The data on ‘‘persons in unit’’ show the number of

housing units occupied by the specified number of persons. The phrase ‘‘persons in unit’’ is used for housing

tabulations, ‘‘persons in households’’ for population items.

Figures for ‘‘persons in unit’’ match those for ‘‘persons in

household’’ for 100-percent data products. In sample

products, they may differ because of the weighting

process.

Median Persons in Unit—In computing median persons

in unit, a whole number is used as the midpoint of an

interval; thus, a unit with 4 persons is treated as an interval

ranging from 3.5 to 4.5 persons. Median persons is rounded

to the nearest hundredth. (For more information on medians, see the discussion under ‘‘Derived Measures.’’)

Persons in Occupied Housing Units—This is the total

population minus those persons living in group quarters.

‘‘Persons per occupied housing unit’’ is computed by

dividing the population living in housing units by the

number of occupied housing units.

PERSONS PER ROOM

‘‘Persons per room’’ is obtained by dividing the number

of persons in each occupied housing unit by the number of

rooms in the unit. Persons per room is rounded to the

nearest hundredth. The figures shown refer, therefore, to

the number of occupied housing units having the specified

ratio of persons per room.

Mean Persons Per Room—This is computed by dividing

persons in housing units by the aggregate number of

rooms. This is intended to provide a measure of utilization.

A higher mean may indicate a greater degree of utilization

or crowding; a low mean may indicate under-utilization.

(For more information on means, see the discussion under

‘‘Derived Measures.’’)

PLUMBING FACILITIES

The data on plumbing facilities were obtained from

questionnaire item H10, which was asked at both occupied

and vacant housing units. This item was asked on a

sample basis. Complete plumbing facilities include hot and

cold piped water, a flush toilet, and a bathtub or shower. All

three facilities must be located inside the house, apartment, or mobile home, but not necessarily in the same

room. Housing units are classified as lacking complete

plumbing facilities when any of the three facilities are not

present.

Comparability—The 1990 data on complete plumbing

facilities are not strictly comparable with the 1980 data. In

1980, complete plumbing facilities were defined as hot and

cold piped water, a bathtub or shower, and a flush toilet in

the housing unit for the exclusive use of the residents of

that unit. In 1990, the Census Bureau dropped the requirement of exclusive use from the definition of complete

plumbing facilities. Of the 2.3 million year-round housing

units classified in 1980 as lacking complete plumbing for

exclusive use, approximately 25 percent of these units had

complete plumbing but the facilities were also used by

members of another household. From 1940 to 1970,

separate and more detailed questions were asked on

piped water, bathing, and toilet facilities. In 1970 and 1980,

the data on plumbing facilities were shown only for yearround units.

POVERTY STATUS OF HOUSEHOLDS IN 1989

The data on poverty status of households were derived

from answers to the income questions. The income items

were asked on a sample basis. Households are classified

below the poverty level when the total 1989 income of the

family or of the nonfamily householder is below the appropriate poverty threshold. The income of persons living in

the household who are unrelated to the householder is not

considered when determining the poverty status of a

household, nor does their presence affect the household

size in determining the appropriate poverty threshold. The

poverty thresholds vary depending upon three criteria: size

of family, number of children, and age of the family

householder or unrelated individual for one and twopersons households. (For more information, see the discussion of ‘‘Poverty Status in 1989’’ and ‘‘Income in 1989’’

under Population Characteristics.)

REAL ESTATE TAXES

The data on real estate taxes were obtained from

questionnaire item H21, which was asked at owner-occupied

one-family houses, condominiums, and mobile homes. The

statistics from this question refer to the total amount of all

real estate taxes on the entire property (land and buildings)

payable in 1989 to all taxing jurisdictions, including special

assessments, school taxes, county taxes, and so forth.

Real estate taxes include State, local, and all other real

estate taxes even if delinquent, unpaid, or paid by someone who is not a member of the household. However,

taxes due from prior years are not included. If taxes are

paid on other than a yearly basis, the payments are

converted to a yearly basis.

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The payment for real estate taxes is added to payments

for fire, hazard, and flood insurance; utilities and fuels; and

mortgages (both first and junior mortgages and home

equity loans) to derive ‘‘Selected Monthly Owner Costs’’

and ‘‘Selected Monthly Owner Costs as a Percentage of

Household Income in 1989.’’ A separate question (H23c)

determines whether real estate taxes are included in the

mortgage payment to the lender(s). This makes it possible

to avoid counting taxes twice in the computations.

Comparability—Data for real estate taxes were collected

for the first time in 1980. The question was asked only at

owner-occupied one-family houses. Excluded were mobile

homes or trailers, condominiums, houses with a business

or medical office on the property, houses on 10 or more

acres, and housing units in multi-unit buildings. In 1990, the

question was asked of all one-family owner-occupied

houses, including houses on 10 or more acres. It also was

asked at mobile homes, condominiums, and one-family

houses with a business or medical office on the property.

ROOMS

The data on rooms were obtained from questionnaire

item H3, which was asked at both occupied and vacant

housing units. The statistics on rooms are in terms of the

number of housing units with a specified number of rooms.

The intent of this question is to count the number of whole

rooms used for living purposes.

For each unit, rooms include living rooms, dining rooms,

kitchens, bedrooms, finished recreation rooms, enclosed

porches suitable for year-round use, and lodger’s rooms.

Excluded are strip or pullman kitchens, bathrooms, open

porches, balconies, halls or foyers, half-rooms, utility rooms,

unfinished attics or basements, or other unfinished space

used for storage. A partially divided room is a separate

room only if there is a partition from floor to ceiling, but not

if the partition consists solely of shelves or cabinets.

Median Rooms—This measure divides the room distribution into two equal parts, one-half of the cases falling

below the median number of rooms and one-half above

the median. In computing median rooms, the whole number is used as the midpoint of the interval; thus, the

category ‘‘3 rooms’’ is treated as an interval ranging from

2.5 to 3.5 rooms. Median rooms is rounded to the nearest

tenth. (For more information on medians, see the discussion under ‘‘Derived Measures.’’)

Aggregate Rooms—To calculate aggregate rooms, an

arbitrary value of ‘‘10’’ is assigned to rooms for units falling

within the terminal category, ‘‘9 or more.’’ (For more

information on aggregates and means, see the discussion

under ‘‘Derived Measures.’’)

Comparability—Data on rooms have been collected since

1940. In 1970 and 1980, these data were shown only for

year-round housing units. In 1990, these data are shown

for all housing units.

SECOND OR JUNIOR MORTGAGE PAYMENT

The data on second or junior mortgage payments were

obtained from questionnaire items H24a and H24b, which

were asked at owner-occupied one-family houses, condominiums, and mobile homes. Question H24a asks whether

a second or junior mortgage or a home equity loan exists

on the property. Question H24b provides the regular

monthly amount required to be paid to the lender on all

second or junior mortgages and home equity loans. Amounts

are included even if the payments are delinquent or paid by

someone else. The amounts reported are included in the

computation of ‘‘Selected Monthly Owner Costs’’ and

‘‘Selected Monthly Owner Costs as a Percentage of Household Income in 1989’’ for units with a mortgage.

All mortgages other than first mortgages are classified

as ‘‘junior’’ mortgages. A second mortgage is a junior

mortgage that gives the lender a claim against the property

that is second to the claim of the holder of the first

mortgage. Any other junior mortgage(s) would be subordinate to the second mortgage. A home equity loan is a line

of credit available to the borrower that is secured by real

estate. It may be placed on a property that already has a

first or second mortgage, or it may be placed on a property

that is owned free and clear.

If the respondents answered that no first mortgage

existed, but a second mortgage did (as in the above case

with a home equity loan), a computer edit assigned the unit

a first mortgage and made the first mortgage monthly

payment the amount reported in the second mortgage.

The second mortgage data were then made ‘‘No’’ in

question H24a and blank in question H24b.

Comparability—The 1980 census obtained total regular

monthly mortgage payments, including payments on second or junior mortgages, from one single question. Two

questions were used in 1990: one for regular monthly

payments on first mortgages, and one for regular monthly

payments on second or junior mortgages and home equity

loans.

SELECTED MONTHLY OWNER COSTS

The data on selected monthly owner costs were obtained

from questionnaire items H20 through H26 for a sample of

owner-occupied one-family houses, condominiums, and

mobile homes. Selected monthly owner costs is the sum of

payments for mortgages, deeds of trust, contracts to

purchase, or similar debts on the property (including

payments for the first mortgage, second or junior mortgages, and home equity loans); real estate taxes; fire,

hazard, and flood insurance on the property; utilities (electricity, gas, and water); and fuels (oil, coal, kerosene, wood,

etc.). It also includes, where appropriate, the monthly

condominium fee for condominiums and mobile home

costs (personal property taxes, site rent, registration fees,

and license fees) for mobile homes.

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In certain tabulations, selected monthly owner costs are

presented separately for specified owner-occupied housing units (owner-occupied one-family houses on fewer

than 10 acres without a business or medical office on the

property),owner-occupied condominiums,and owner-occupied

mobile homes. Data usually are shown separately for units

‘‘with a mortgage’’ and for units ‘‘not mortgaged.’’

Median Selected Monthly Owner Costs—This measure

is rounded to the nearest whole dollar.

Comparability—The components of selected monthly owner

costs were collected for the first time in 1980. The 1990

tabulations of selected monthly owner costs for specified

owner-occupied housing units are virtually identical to

1980, the primary difference was the amounts of the first

and second mortgages were collected in separate questions in 1990, while the amounts were collected in a single

question in 1980. The component parts of the item were

tabulated for mobile homes and condominiums for the first

time in 1990.

In 1980, costs for electricity and gas were collected as

average monthly costs. In 1990, all utility and fuel costs

were collected as yearly costs and divided by 12 to provide

an average monthly cost.

SELECTED MONTHLY OWNER COSTS AS A

PERCENTAGE OF HOUSEHOLD INCOME IN

1989

The information on selected monthly owner costs as a

percentage of household income in 1989 is the computed

ratio of selected monthly owner costs to monthly household income in 1989. The ratio was computed separately

for each unit and rounded to the nearest whole percentage. The data are tabulated separately for specified owneroccupied units, condominiums, and mobile homes.

Separate distributions are often shown for units ‘‘with a

mortgage’’ and for units ‘‘not mortgaged.’’ Units occupied

by households reporting no income or a net loss in 1989

are included in the ‘‘not computed’’ category. (For more

information, see the discussion under ‘‘Selected Monthly

Owner Costs.’’)

Comparability—The components of selected monthly owner

costs were collected for the first time in 1980. The tabulations of ‘‘Selected Monthly Owner Costs as a Percentage

of Household Income in 1989’’ for specified owner-occupied

housing units are comparable to 1980.

SEWAGE DISPOSAL

The data on sewage disposal were obtained from

questionnaire item H16, which was asked at both occupied

and vacant housing units. This item was asked on a

sample basis. Housing units are either connected to a

public sewer, to a septic tank or cesspool, or they dispose

of sewage by other means. A public sewer may be

operated by a government body or by a private organization. A housing unit is considered to be connected to a

septic tank or cesspool when the unit is provided with an

underground pit or tank for sewage disposal. The category,

‘‘Other means’’ includes housing units which dispose of

sewage in some other way.

Comparability—Data on sewage disposal have been collected since 1940. In 1970 and 1980, data were shown

only for year-round housing units. In 1990, data are shown

for all housing units.

SOURCE OF WATER

The data on source of water were obtained from questionnaire item H15, which was asked at both occupied and

vacant housing units. Housing units may receive their

water supply from a number of sources. A common source

supplying water to five or more units is classified as a

‘‘Public system or private company.’’ The water may be

supplied by a city, county, water district, water company,

etc., or it may be obtained from a well which supplies water

to five or more housing units. If the water is supplied from

a well serving four or fewer housing units, the units are

classified as having water supplied by either an ‘‘Individual

drilled well’’ or an ‘‘Individual dug well.’’ Drilled wells or

small diameter wells are usually less than 1-1/ 2 feet in

diameter. Dug wells are usually larger than 1-1/ 2 feet wide

and generally hand dug. The category, ‘‘Some other

source’’ includes water obtained from springs, creeks,

rivers, lakes, cisterns, etc.

Comparability—Data on source of water have been collected since 1940. In 1970 and 1980, data were shown

only for year-round housing units. In 1990, data are shown

for all housing units.

TELEPHONE IN HOUSING UNIT

The data on telephones were obtained from questionnaire item H12, which was asked at occupied housing

units. This item was asked on a sample basis. A telephone

must be inside the house or apartment for the unit to be

classified as having a telephone. Units where the respondent uses a telephone located inside the building but not in

the respondent’s living quarters are classified as having no

telephone.

Comparability—Data on telephones in 1980 are comparable to 1990. The 1960 and 1970 censuses collected data

on telephone availability. A unit was classified as having a

telephone available if there was a telephone number on

which occupants of the unit could be reached. The telephone could have been in another unit, in a common hall,

or outside the building.

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TENURE

The data for tenure were obtained from questionnaire

item H4, which was asked at all occupied housing units. All

occupied housing units are classified as either owner

occupied or renter occupied.

Owner Occupied—A housing unit is owner occupied if the

owner or co-owner lives in the unit even if it is mortgaged

or not fully paid for. The owner or co-owner must live in the

unit and usually is the person listed in column 1 of the

questionnaire. The unit is ‘‘Owned by you or someone in

this household with a mortgage or loan’’ if it is being

purchased with a mortgage or some other debt arrangement such as a deed of trust, trust deed, contract to

purchase, land contract, or purchase agreement. The unit

is also considered owned with a mortgage if it is built on

leased land and there is a mortgage on the unit.

A housing unit is ‘‘Owned by you or someone in this

household free and clear (without a mortgage)’’ if there is

no mortgage or other similar debt on the house, apartment,

or mobile home including units built on leased land if the

unit is owned outright without a mortgage. Although owneroccupied units are divided between mortgaged and owned

free and clear on the questionnaire, census data products

containing 100-percent data show only total owner-occupied

counts. More extensive mortgage information was collected on the long-form questionnaire and are shown in

census products containing sample data. (For more information, see the discussion under ‘‘Mortgage Status.’’)

Renter Occupied—All occupied housing units which are

not owner occupied, whether they are rented for cash rent

or occupied without payment of cash rent, are classified as

renter occupied. ‘‘No cash rent’’ units are separately

identified in the rent tabulations. Such units are generally

provided free by friends or relatives or in exchange for

services such as resident manager, caretaker, minister, or

tenant farmer. Housing units on military bases also are

classified in the ‘‘No cash rent’’ category. ‘‘Rented for cash

rent’’ includes units in continuing care, sometimes called

life care arrangements. These arrangements usually involve

a contract between one or more individuals and a health

services provider guaranteeing the individual shelter, usually a house or apartment, and services, such as meals or

transportation to shopping or recreation.

Comparability—Data on tenure have been collected since

1890. In 1970, the question on tenure also included a

category for condominium and cooperative ownership. In

1980, condominium units and cooperatives were dropped

from the tenure item, and since 1980, only condominium

units are identified in a separate question.

For 1990, the response categories were expanded to

allow the respondent to report whether the unit was owned

with a mortgage or free and clear (without a mortgage).

The distinction between units owned with a mortgage and

units owned free and clear was added in 1990 to improve

the count of owner-occupied units. Research after the

1980 census indicated some respondents did not consider

their units owned if they had a mortgage.

UNITS IN STRUCTURE

The data on units in structure (also referred to as ‘‘type

of structure’’) were obtained from questionnaire item H2,

which was asked at all housing units. A structure is a

separate building that either has open spaces on all sides

or is separated from other structures by dividing walls that

extend from ground to roof. In determining the number of

units in a structure, all housing units, both occupied and

vacant, are counted. Stores and office space are excluded.

The statistics are presented for the number of housing

units in structures of specified type and size, not for the

number of residential buildings.

1-Unit, Detached—This is a 1-unit structure detached

from any other house; that is, with open space on all four

sides. Such structures are considered detached even if

they have an adjoining shed or garage. A one-family house

that contains a business is considered detached as long as

the building has open space on all four sides. Mobile

homes or trailers to which one or more permanent rooms

have been added or built also are included.

1-Unit, Attached—This is a 1-unit structure that has one

or more walls extending from ground to roof separating it

from adjoining structures. In row houses (sometimes called

townhouses), double houses, or houses attached to nonresidential structures, each house is a separate, attached

structure if the dividing or common wall goes from ground

to roof.

2 or More Units—These are units in structures containing

2 or more housing units, further categorized as units in

structures with 2, 3 or 4, 5 to 9, 10 to 19, 20 to 49, and 50

or more units.

Mobile Home or Trailer—Both occupied and vacant

mobile homes to which no permanent rooms have been

added are counted in this category. Mobile homes or

trailers used only for business purposes or for extra

sleeping space and mobile homes or trailers for sale on a

dealer’s lot, at the factory, or in storage are not counted in

the housing inventory.

Other—This category is for any living quarters occupied as

a housing unit that does not fit the previous categories.

Examples that fit this category are houseboats, railroad

cars, campers, and vans.

Comparability—Data on units in structure have been

collected since 1940 and on mobile homes and trailers

since 1950. In 1970 and 1980, these data were shown only

for year-round housing units. In 1990, these data are

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shown for all housing units. In 1980, the data were

collected on a sample basis. The category, ‘‘Boat, tent,

van, etc.’’ was replaced in 1990 by the category ‘‘Other.’’

In some areas, the proportion of units classified as ‘‘Other’’

is far larger than the number of units that were classified as

‘‘Boat, tent, van, etc.’’ in 1980.

USUAL HOME ELSEWHERE

The data for usual home elsewhere are obtained from

questionnaire item B, which was completed by census

employees. A housing unit temporarily occupied at the

time of enumeration entirely by persons with a usual

residence elsewhere is classified as vacant. The occupants are classified as having a ‘‘Usual home elsewhere’’

and are counted at the address of their usual place of

residence. Typical examples are people in a vacation

home, persons renting living quarters temporarily for work,

and migrant workers.

Limitation of the Data—Evidence from previous censuses suggests that in some areas enumerators marked

units as ‘‘vacant—usual home elsewhere’’ when they

should have marked ‘‘vacant—regular.’’

Comparability—Data for usual home elsewhere was tabulated for the first time in 1980.

UTILITIES

The data on utility costs were obtained from questionnaire items H20a through H20d, which were asked of

occupied housing units. These items were asked on a

sample basis.

Questions H20a through H20d asked for the yearly cost

of utilities (electricity, gas, water) and other fuels (oil, coal,

wood, kerosene, etc.). For the tabulations, these yearly

amounts are divided by 12 to derive the average monthly

cost and are then included in the computation of ‘‘Gross

Rent,’’ ‘‘Gross Rent as a Percentage of Household Income

in 1989,’’ ‘‘Selected Monthly Owner Costs,’’ and ‘‘Selected

Monthly Owner Costs as a Percentage of Household

Income in 1989.’’

Costs are recorded if paid by or billed to occupants, a

welfare agency, relatives, or friends. Costs that are paid by

landlords, included in the rent payment, or included in

condominium or cooperative fees are excluded.

Limitation of the Data—Research has shown that respondents tended to overstate their expenses for electricity and

gas when compared to utility company records. There is

some evidence that this overstatement is reduced when

yearly costs are asked rather than monthly costs. Caution

should be exercised in using these data for direct analysis

because costs are not reported for certain kinds of units

such as renter-occupied units with all utilities included in

the rent and owner-occupied condominium units with

utilities included in the condominium fee.

Comparability—The data on utility costs have been collected since 1980 for owner-occupied housing units, and

since 1940 for renter-occupied housing units. In 1980,

costs for electricity and gas were collected as average

monthly costs. In 1990, all utility and fuel costs were

collected as yearly costs and divided by 12 to provide an

average monthly cost.

VACANCY STATUS

The data on vacancy status were obtained from questionnaire item C1, which was completed by census enumerators. Vacancy status and other characteristics of

vacant units were determined by enumerators obtaining

information from landlords, owners, neighbors, rental agents,

and others. Vacant units are subdivided according to their

housing market classification as follows:

For Rent—These are vacant units offered ‘‘for rent,’’ and

vacant units offered either ‘‘for rent’’ or ‘‘for sale.’’

For Sale Only—These are vacant units being offered ‘‘for

sale only,’’ including units in cooperatives and condominium projects if the individual units are offered ‘‘for sale

only.’’

Rented or Sold, Not Occupied—If any money rent has

been paid or agreed upon but the new renter has not

moved in as of the date of enumeration, or if the unit has

recently been sold but the new owner has not yet moved

in, the vacant unit is classified as ‘‘rented or sold, not

occupied.’’

For Seasonal, Recreational, or Occasional Use—These

are vacant units used or intended for use only in certain

seasons or for weekend or other occasional use throughout the year.

Seasonal units include those used for summer or winter

sports or recreation, such as beach cottages and hunting

cabins. Seasonal units also may include quarters for such

workers as herders and loggers. Interval ownership units,

sometimes called shared-ownership or time-sharing condominiums, also are included here.

For Migrant Workers—These include vacant units intended

for occupancy by migratory workers employed in farm work

during the crop season. (Work in a cannery, a freezer plant,

or a food-processing plant is not farm work.)

Other Vacant—If a vacant unit does not fall into any of the

classifications specified above, it is classified as ‘‘other

vacant.’’ For example, this category includes units held for

occupancy by a caretaker or janitor, and units held for

personal reasons of the owner.

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Homeowner Vacancy Rate—This is the percentage relationship between the number of vacant units for sale and

the total homeowner inventory. It is computed by dividing

the number of vacant units for sale only by the sum of the

owner-occupied units and the number of vacant units that

are for sale only.

Rental Vacancy Rate—This is the percentage relationship of the number of vacant units for rent to the total

rental inventory. It is computed by dividing the number of

vacant units for rent by the sum of the renter-occupied

units and the number of vacant units for rent.

Comparability—Data on vacancy status have been collected since 1940. For 1990, the category, ‘‘seasonal/ recreational/ occasional use’’ combined vacant units classified in 1980 as ‘‘seasonal or migratory’’ and ‘‘held for

occasional use.’’ Also, in 1970 and 1980, housing characteristics generally were presented only for year-round

units. In 1990, housing characteristics are shown for all

housing units.

VALUE

The data on value (also referred to as ‘‘price asked’’ for

vacant units) were obtained from questionnaire item H6,

which was asked at housing units that were owned, being

bought, or vacant for sale at the time of enumeration.

Value is the respondent’s estimate of how much the

property (house and lot, mobile home and lot, or condominium unit) would sell for if it were for sale. If the house or

mobile home was owned or being bought, but the land on

which it sits was not, the respondent was asked to

estimate the combined value of the house or mobile home

and the land. For vacant units, value was the price asked

for the property.

Value was tabulated separately for all owner-occupied

and vacant-for-sale housing units, owner-occupied and

vacant-for-sale mobile homes or trailers, and specified

owner-occupied and specified vacant-for-sale housing units.

Specified owner-occupied and specified vacant-for-sale

housing units include only one-family houses on fewer than

10 acres without a business or medical office on the

property. The data for ‘‘specified units’’ exclude mobile

homes, houses with a business or medical office, houses

on 10 or more acres, and housing units in multi-unit

buildings.

Median and Quartile Value—The median divides the

value distribution into two equal parts. Quartiles divide the

value distribution into four equal parts. These measures

are rounded to the nearest hundred dollars. (For more

information on medians and quartiles, see the discussion

under ‘‘Derived Measures.’’)

Aggregate Value—To calculate aggregate value, the amount

assigned for the category ‘‘Less than $10,000’’ is $9,000.

The amount assigned to the category ‘‘$500,000 or more’’

is $600,000. Mean value is rounded to the nearest hundred

dollars. (For more information on aggregates and means,

see the discussion under ‘‘Derived Measures.’’)

Comparability—In 1980, value was asked only at owneroccupied or vacant-for-sale one-family houses on fewer

than 10 acres with no business or medical office on the

property and at all owner-occupied or vacant-for-sale

condominium housing units. Mobile homes were excluded.

Value data were presented for specified owner-occupied

housing units, specified vacant-for-sale-only housing units,

and owner-occupied condominium housing units.

In 1990, the question was asked at all owner-occupied

or vacant-for-sale-only housing units with no exclusions.

Data presented for specified owner-occupied and specified vacant-for-sale-only housing units will include onefamily condominium houses but not condominiums in

multi-unit structures since condominium units are now

identified only in long-form questionnaires.

For 1990, quartiles have been added because the range

of values and rents in the United States has increased in

recent years. Upper and lower quartiles can be used to

note large value and rent differences among various

geographic areas.

VEHICLES AVAILABLE

The data on vehicles available were obtained from

questionnaire item H13, which was asked at occupied

housing units. This item was asked on a sample basis.

These data show the number of households with a specified number of passenger cars, vans, and pickup or panel

trucks of one-ton capacity or less kept at home and

available for the use of household members. Vehicles

rented or leased for one month or more, company vehicles, and police and government vehicles are included if

kept at home and used for nonbusiness purposes. Dismantled or immobile vehicles are excluded. Vehicles kept at

home but used only for business purposes also are

excluded.

Vehicles Per Household—This is computed by dividing

aggregate vehicles available by the number of occupied

housing units.

Limitation of the Data—The 1980 census evaluations

showed that the number of automobiles was slightly overreported; the number of vans and trucks slightly underreported. The statistics do not measure the number of

vehicles privately owned or the number of households

owning vehicles.

Comparability—Data on automobiles available were collected from 1960 to 1980. In 1980, a separate question

also was asked on the number of trucks and vans. The

data on automobiles and trucks and vans were presented

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separately and also as a combined vehicles available

tabulation. The 1990 data are comparable to the 1980

vehicles available tabulations.

YEAR HOUSEHOLDER MOVED INTO UNIT

The data on year householder moved into unit were

obtained from questionnaire item H8, which was asked at

occupied housing units. This item was asked on a sample

basis. These data refer to the year of the latest move by

the householder. If a householder moved back into a

housing unit he or she previously occupied, the year of the

latest move was reported. If the householder moved from

one apartment to another within the same building, the

year the householder moved into the present apartment

was reported. The intent is to establish the year the

present occupancy by the householder began. The year

that the householder moved in is not necessarily the same

year other members of the household moved, although in

the great majority of cases an entire household moves at

the same time.

Comparability—In 1960 and 1970, this question was

asked of every person and included in population reports.

This item in housing tabulations refers to the year the

householder moved in. In 1980 and 1990, the question

was asked only of the householder.

YEAR STRUCTURE BUILT

The data on year structure built were obtained from

questionnaire item H17, which was asked at both occupied

and vacant housing units. This item was asked on a

sample basis. Data on year structure built refer to when the

building was first constructed, not when it was remodeled,

added to, or converted. For housing units under construction that met the housing unit definition—that is, all exterior

windows, doors, and final usable floors were in place—the

category ‘‘1989 or March 1990’’ was used. For a houseboat or a mobile home or trailer, the manufacturer’s model

year was assumed to be the year built. The figures shown

in census data products relate to the number of units built

during the specified periods that were still in existence at

the time of enumeration.

Median Year Structure Built—The median divides the

distribution into two equal parts. The median is rounded to

the nearest calendar year. Median age of housing can be

obtained by subtracting median year structure built from

1990. For example, if the median year structure built is

1957, the median age of housing in that area is 33 years

(1990 minus 1957).

Limitation of the Data—Data on year structure built are

more susceptible to errors of response and nonreporting

than data on many other items because respondents must

rely on their memory or on estimates by persons who have

lived in the neighborhood a long time. Available evidence

indicates there is underreporting in the older-year-structurebuilt categories, especially ‘‘Built in 1939 or earlier.’’ The

introduction of the ‘‘Don’t know’’ category (see the discussion on ‘‘Comparability’’) may have resulted in relatively

higher allocation rates. Data users should refer to the

discussion in Appendix C, Accuracy of the Data, and to the

allocation tables.

Comparability—Data on year structure built were collected for the first time in the 1940 census. Since then, the

response categories have been modified to accommodate

the 10-year period between each census. In 1990, the

category, ‘‘Don’t Know,’’ was added in an effort to minimize the response error mentioned in the paragraph above

on limitation of the data.

DERIVED MEASURES

Census data products include various derived measures, such as medians, means, and percentages, as well

as certain rates and ratios. Derived measures that round to

less than 0.1 are not shown but indicated as zero. In

printed reports, zero is indicated by a dash (–).

Interpolation

Interpolation frequently is used in calculating medians

or quartiles based on interval data and in approximating

standard errors from tables. Linear interpolation is used to

estimate values of a function between two known values.

‘‘Pareto interpolation’’ is an alternative to linear interpolation. It is used by the Census Bureau in calculating median

income within intervals wider than $2,500. In Pareto interpolation, the median is derived by interpolating between

the logarithms of the upper and lower income limits of the

median category.

Mean

This measure represents an arithmetic average of a set

of values. It is derived by dividing the sum of a group of

numerical items (or aggregate) by the total number of

items. Aggregates are used in computing mean values. For

example, mean family income is obtained by dividing the

aggregate of all income reported by persons in families by

the total number of families. (Additional information on

means and aggregates is included in the separate explanations of many population and housing subjects.)

Median

This measure represents the middle value in a distribution. The median divides the total frequency into two equal

parts: one-half of the cases fall below the median and

one-half of the cases exceed the median. The median is

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computed on the basis of the distribution as tabulated,

which is sometimes more detailed than the distribution

shown in specific census publications and other data

products.

In reports, if the median falls within the upper interval of

the tabulation distribution, the median is shown as the

initial value of the interval followed by a plus sign (+ ); if

within the lower interval, the median is shown as the upper

value of the category followed by a minus sign (–). For

summary tape files, if the median falls within the upper or

lower interval, it is set to a specified value. (Additional

information on medians is included in the separate explanations of many population and housing subjects.)

Percentages, Rates, and Ratios

These measures are frequently presented in census

products to compare two numbers or two sets of measurements. These comparisons are made in two ways: (1)

subtraction, which provides an absolute measure of the

difference between two items, and (2) the quotient of two

numbers, which provides a relative measure of difference.

Quartile

This measure divides a distribution into four equal parts.

The first quartile (or lower quartile) is the value that defines

the upper limit of the lowest one-quarter of the cases. The

second quartile is the median. The third quartile (or upper

quartile) defines the lower limit of the upper one-quarter of

the cases in the distribution. The difference between the

upper and lower quartiles is called the interquartile range.

This interquartile range is less affected by wide variations

than is the mean. Quartiles are presented for certain

financial characteristics such as housing value and rent.

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APPENDIX C.

Accuracy of the Data

CONTENTS

Confidentiality of the Data -------------------------------- C–1

Editing of Unacceptable Data ------------------------------ C–9

Errors in the Data ----------------------------------------- C–2

Estimation Procedure ------------------------------------- C–5

Sample Design ------------------------------------------- C–1

INTRODUCTION

The data contained in this data product are based on

the 1990 census sample. The data are estimates of the

actual figures that would have been obtained from a

complete count. Estimates derived from a sample are

expected to be different from the 100-percent figures

because they are subject to sampling and nonsampling

errors. Sampling error in data arises from the selection of

persons and housing units to be included in the sample.

Nonsampling error affects both sample and 100-percent

data, and is introduced as a result of errors that may occur

during the collection and processing phases of the census.

Provided below is a detailed discussion of both types of

errors and a description of the estimation procedures.

SAMPLE DESIGN

Every person and housing unit in the United States was

asked certain basic demographic and housing questions

(for example, race, age, marital status, housing value, or

rent). A sample of these persons and housing units was

asked more detailed questions about such items as income,

occupation, and housing costs in addition to the basic

demographic and housing information. The primary sampling unit for the 1990 census was the housing unit,

including all occupants. For persons living in group quarters, the sampling unit was the person. Persons in group

quarters were sampled at a 1-in-6 rate.

The sample designation method depended on the data

collection procedures. Approximately 95 percent of the

population was enumerated by the mailback procedure. In

these areas, the Bureau of the Census either purchased a

commercial mailing list, which was updated by the United

States Postal Service and Census Bureau field staff, or

prepared a mailing list by canvassing and listing each

address in the area prior to Census Day. These lists were

computerized and the appropriate units were electronically

designated as sample units. The questionnaires were

either mailed or hand-delivered to the addresses with

instructions to complete and mail back the form.

Housing units in governmental units with a precensus

(1988) estimated population of fewer than 2,500 persons

were sampled at 1-in-2. Governmental units were defined

for sampling purposes as all incorporated places, all

counties, all county equivalents such as parishes in Louisiana, and all minor civil divisions in Connecticut, Maine,

Massachusetts, Michigan, Minnesota, New Hampshire,

New Jersey, New York, Pennsylvania, Rhode Island, Vermont, and Wisconsin. Housing units in census tracts and

block numbering areas (BNA’s) with a precensus housing

unit count below 2,000 housing units were sampled at

1-in-6 for those portions not in small governmental units

(governmental units with a population less than 2,500).

Housing units within census tracts and BNA’s with 2,000 or

more housing units were sampled at 1-in-8 for those

portions not in small governmental units.

In list/ enumerate areas (about 5 percent of the population), each enumerator was given a blank address register

with designated sample lines. Beginning about Census

Day, the enumerator systematically canvassed an assigned

area and listed all housing units in the address register in

the order they were encountered. Completed questionnaires, including sample information for any housing unit

listed on a designated sample line, were collected. For all

governmental units with fewer than 2,500 persons in

list/ enumerate areas, a 1-in-2 sampling rate was used. All

other list/ enumerate areas were sampled at 1-in-6.

Housing units in American Indian reservations, tribal

jurisdiction statistical areas, and Alaska Native villages

were sampled according to the same criteria as other

governmental units, except the sampling rates were based

on the size of the American Indian and Alaska Native

population in those areas as measured in the 1980 census.

Trust lands were sampled at the same rate as their

associated American Indian reservations. Census designated places in Hawaii were sampled at the same rate as

governmental units because the Census Bureau does not

recognize incorporated places in Hawaii.

The purpose of using variable sampling rates was to

provide relatively more reliable estimates for small areas

and decrease respondent burden in more densely populated areas while maintaining data reliability. When all

sampling rates were taken into account across the Nation,

approximately one out of every six housing units in the

Nation was included in the 1990 census sample.

CONFIDENTIALITY OF THE DATA

To maintain the confidentiality required by law (Title 13,

United States Code), the Bureau of the Census applies a

confidentiality edit to the 1990 census data to assure that

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published data do not disclose information about specific

individuals, households, or housing units. As a result, a

small amount of uncertainty is introduced into the estimates of census characteristics. The sample itself provides adequate protection for most areas for which sample

data are published since the resulting data are estimates of

the actual counts; however, small areas require more

protection. The edit is controlled so that the basic structure

of the data is preserved.

The confidentiality edit is implemented by selecting a

small subset of individual households from the internal

sample data files and blanking a subset of the data items

on these household records. Responses to those data

items were then imputed using the same imputation procedures that were used for nonresponse. A larger subset

of households is selected for the confidentiality edit for

small areas to provide greater protection for these areas.

The editing process is implemented in such a way that the

quality and usefulness of the data were preserved.

ERRORS IN THE DATA

Since statistics in this data product are based on a

sample, they may differ somewhat from 100-percent figures that would have been obtained if all housing units,

persons within those housing units, and persons living in

group quarters had been enumerated using the same

questionnaires, instructions, enumerators, etc. The sample

estimate also would differ from other samples of housing

units, persons within those housing units, and persons

living in group quarters. The deviation of a sample estimate

from the average of all possible samples is called the

sampling error. The standard error of a sample estimate is

a measure of the variation among the estimates from all

the possible samples and thus is a measure of the

precision with which an estimate from a particular sample

approximates the average result of all possible samples.

The sample estimate and its estimated standard error

permit the construction of interval estimates with prescribed confidence that the interval includes the average

result of all possible samples. Described below is the

method of calculating standard errors and confidence

intervals for the data in this product.

In addition to the variability which arises from the

sampling procedures, both sample data and 100-percent

data are subject to nonsampling error. Nonsampling error

may be introduced during any of the various complex

operations used to collect and process census data. For

example, operations such as editing, reviewing, or handling questionnaires may introduce error into the data. A

detailed discussion of the sources of nonsampling error is

given in the section on ‘‘Control of Nonsampling Error’’ in

this appendix.

Nonsampling error may affect the data in two ways.

Errors that are introduced randomly will increase the

variability of the data and should therefore be reflected in

the standard error. Errors that tend to be consistent in one

direction will make both sample and 100-percent data

biased in that direction. For example, if respondents

consistently tend to under-report their income, then the

resulting counts of households or families by income

category will tend to be understated for the higher income

categories and overstated for the lower income categories.

Such biases are not reflected in the standard error.

Calculation of Standard Errors

Totals and Percentages—Tables A through C in this

appendix contain the information necessary to calculate

the standard errors of sample estimates in this data

product. To calculate the standard error, it is necessary to

know the basic standard error for the characteristic (given

in table A or B) that would result under a simple random

sample design (of persons, households, or housing units)

and estimation technique; the design factor for the particular characteristic estimated (given in table C); and the

number of persons or housing units in the tabulation area

and the percent of these in the sample. For machinereadable products, the percent-in-sample is included in a

data matrix on the file for each tabulation area. In printed

reports, the percent-in-sample is provided in data tables at

the end of the statistical tables that compose the report.

The design factors reflect the effects of the actual sample

design and complex ratio estimation procedure used for

the 1990 census. Tape purchasers will receive table C, the

table of design factors, as a supplement to the technical

documentation. Table C is included in this appendix for

printed reports.

The steps given below should be used to calculate the

standard error of an estimate of a total or a percentage

contained in this product. A percentage is defined here as

a ratio of a numerator to a denominator where the numerator is a subset of the denominator. For example, the

proportion of Black teachers is the ratio of Black teachers

to all teachers.

1. Obtain the standard error from table A or B (or use

the formula given below the table) for the estimated

total or percentage, respectively.

2. Find the geographic area to which the estimate

applies in the appropriate percent-in-sample table

or appropriate matrix, and obtain the person or

housing unit ‘‘percent-in-sample’’ figure for this

area. Use the person ‘‘percent-in-sample’’ figure for

person and family characteristics. Use the housing

unit ‘‘percent-in-sample’’ figure for housing unit

characteristics.

3. Use table C to obtain the design factor for the

characteristic (for example, employment status, school

enrollment) and the range that contains the percentin-sample with which you are working. Multiply the

basic standard error by this factor.

The unadjusted standard errors of zero estimates or of

very small estimated totals or percentages will approach

zero. This is also the case for very large percentages or

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estimated totals that are close to the size of the tabulation

areas to which they correspond. Nevertheless, these estimated totals and percentages still are subject to sampling

and nonsampling variability, and an estimated standard

error of zero (or a very small standard error) is not

appropriate. For estimated percentages that are less than

2 or greater than 98, use the basic standard errors in table

B that appear in the ‘‘2 or 98’’ row. For an estimated total

that is less than 50 or within 50 of the total size of the

tabulation area, use a basic standard error of 16.

An illustration of the use of the tables is given in the

section entitled ‘‘Use of Tables to Compute Standard

Errors.’’

Sums and Differences—The standard errors estimated

from these tables are not directly applicable to sums of and

differences between two sample estimates. To estimate

the standard error of a sum or difference, the tables are to

be used somewhat differently in the following three situations:

1. For the sum of or difference between a sample

estimate and a 100-percent value, use the standard

error of the sample estimate. The complete count

value is not subject to sampling error.

2. For the sum of or difference between two sample

estimates, the appropriate standard error is approximately the square root of the sum of the two

individual standard errors squared; that is, for standard errors:

SEX

ˆ and SEYˆ of estimates Xˆ and Yˆ

:

SE$ Xˆ

$ Yˆ$ = SE$ Xˆ$ Yˆ$ = √$SEX

ˆ

)

2

$$SEY

ˆ

)

2

This method, however, will underestimate (overestimate) the standard error if the two items in a

sum are highly positively (negatively) correlated or if

the two items in a difference are highly negatively

(positively) correlated. This method may also be

used for the difference between (or sum of) sample

estimates from two censuses or from a census

sample and another survey. The standard error for

estimates not based on the 1990 census sample

must be obtained from an appropriate source outside of this appendix.

3. For the differences between two estimates, one of

which is a subclass of the other, use the tables

directly where the calculated difference is the estimate of interest. For example, to determine the

estimate of non-Black teachers, one may subtract

the estimate of Black teachers from the estimate of

total teachers. To determine the standard error of

the estimate of non-Black teachers apply the above

formula directly.

Ratios—Frequently, the statistic of interest is the ratio of

two variables, where the numerator is not a subset of the

denominator. For example, the ratio of teachers to students in public elementary schools. The standard error of

the ratio between two sample estimates is estimated as

follows:

1. If the ratio is a proportion, then follow the procedure

outlined for ‘‘Totals and Percentages.’’

2. If the ratio is not a proportion, then approximate the

standard error using the formula below.

SE$ Xˆ

$ Yˆ$ = X

ˆ

Y

ˆ

$

$SEX

ˆ

$2

X

ˆ2

$

$SEY

ˆ

$2

Y

ˆ2

Medians—For the standard error of the median of a

characteristic, it is necessary to examine the distribution

from which the median is derived, as the size of the base

and the distribution itself affect the standard error. An

approximate method is given here. As the first step,

compute one-half of the number on which the median is

based (refer to this result as N/ 2). Treat N/ 2 as if it were

an ordinary estimate and obtain its standard error as

instructed above. Compute the desired confidence interval

about N/ 2. Starting with the lowest value of the characteristic, cumulate the frequencies in each category of the

characteristic until the sum equals or first exceeds the

lower limit of the confidence interval about N/ 2. By linear

interpolation, obtain a value of the characteristic corresponding to this sum. This is the lower limit of the

confidence interval of the median. In a similar manner,

continue cumulating frequencies until the sum equals or

exceeds the count in excess of the upper limit of the

interval about N/ 2. Interpolate as before to obtain the

upper limit of the confidence interval for the estimated

median.

When interpolation is required in the upper open-ended

interval of a distribution to obtain a confidence bound, use

1.5 times the lower limit of the open-ended confidence

interval as the upper limit of the open-ended interval.

Confidence Intervals

A sample estimate and its estimated standard error may

be used to construct confidence intervals about the estimate. These intervals are ranges that will contain the

average value of the estimated characteristic that results

over all possible samples, with a known probability. For

example, if all possible samples that could result under the

1990 census sample design were independently selected

and surveyed under the same conditions, and if the

estimate and its estimated standard error were calculated

for each of these samples, then:

1. Approximately 68 percent of the intervals from one

estimated standard error below the estimate to one

estimated standard error above the estimate would

contain the average result from all possible samples;

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2. Approximately 90 percent of the intervals from

1.645 times the estimated standard error below the

estimate to 1.645 times the estimated standard

error above the estimate would contain the average

result from all possible samples.

3. Approximately 95 percent of the intervals from two

estimated standard errors below the estimate to

two estimated standard errors above the estimate

would contain the average result from all possible

samples.

The intervals are referred to as 68 percent, 90 percent,

and 95 percent confidence intervals, respectively.

The average value of the estimated characteristic that

could be derived from all possible samples is or is not

contained in any particular computed interval. Thus, we

cannot make the statement that the average value has a

certain probability of falling between the limits of the

calculated confidence interval. Rather, one can say with a

specified probability of confidence that the calculated

confidence interval includes the average estimate from all

possible samples (approximately the 100-percent value).

Confidence intervals also may be constructed for the

ratio, sum of, or difference between two sample figures.

This is done by first computing the ratio, sum, or difference,

then obtaining the standard error of the ratio, sum, or

difference (using the formulas given earlier), and finally

forming a confidence interval for this estimated ratio, sum,

or difference as above. One can then say with specified

confidence that this interval includes the ratio, sum, or

difference that would have been obtained by averaging the

results from all possible samples.

The estimated standard errors given in this appendix do

not include all portions of the variability due to nonsampling error that may be present in the data. The standard

errors reflect the effect of simple response variance, but

not the effect of correlated errors introduced by enumerators, coders, or other field or processing personnel. Thus,

the standard errors calculated represent a lower bound of

the total error. As a result, confidence intervals formed

using these estimated standard errors may not meet the

stated levels of confidence (i.e., 68, 90, or 95 percent).

Thus, some care must be exercised in the interpretation of

the data in this data product based on the estimated

standard errors.

A standard sampling theory text should be helpful if the

user needs more information about confidence intervals

and nonsampling errors.

Use of Tables to Compute Standard Errors

The following is a hypothetical example of how to

compute a standard error of a total and a percentage.

Suppose a particular data table shows that for City A 9,948

persons out of all 15,888 persons age 16 years and over

were in the civilian labor force. The percent-in-sample

table lists City A with a percent-in-sample of 16.0 percent

(Persons column). The column in table C which includes

16.0 percent-in-sample shows the design factor to be 1.1

for ‘‘Employment status.’’

The basic standard error for the estimated total 9,948

may be obtained from table A or from the formula given

below table A. In order to avoid interpolation, the use of the

formula will be demonstrated here. Suppose that the total

population of City A was 21,220. The formula for the basic

standard error, SE, is

SE$9,948$ = √5$9,948$ $1$9,948$21,220$

= 163 persons.

The standard error of the estimated 9,948 persons 16

years and over who were in the civilian labor force is found

by multiplying the basic standard error 163 by the design

factor, 1.1 from table C. This yields an estimated standard

error of 179 for the total number of persons 16 years and

over in City A who were in the civilian labor force.

The estimated percent of persons 16 years and over

who were in the civilian labor force in City A is 62.6. From

table B, the unadjusted standard error is found to be

approximately 0.85 percentage points. The standard error

for the estimated 62.6 percent of persons 16 years and

over who were in the civilian labor force is 0.85 x 1.1 =

0.94 percentage points.

A note of caution concerning numerical values is necessary. Standard errors of percentages derived in this

manner are approximate. Calculations can be expressed

to several decimal places, but to do so would indicate more

precision in the data than is justifiable. Final results should

contain no more than two decimal places when the

estimated standard error is one percentage point (i.e.,

1.00) or more.

In the previous example, the standard error of the 9,948

persons 16 years and over in City A who were in the civilian

labor force was found to be 179. Thus, a 90 percent

confidence interval for this estimated total is found to be:

$9,948 $ 1.645$179$$ to $9,948 $ 1.645$179$$

or

9,654 to 10,242

One can say, with about 90 percent confidence, that this

interval includes the value that would have been obtained

by averaging the results from all possible samples.

The following is an illustration of the calculation of

standard errors and confidence intervals when a difference between two sample estimates is obtained. For

example, suppose the number of persons in City B age 16

years and over who were in the civilian labor force was

9,314 and the total number of persons 16 years and over

was 16,666. Further suppose the population of City B was

25,225. Thus, the estimated percentage of persons 16

years and over who were in the civilian labor force is 55.9

percent. The unadjusted standard error determined using

the formula provided at the bottom of table B is 0.86

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percentage points. We find that City B had a percent-insample of 15.7. The range which includes 15.7 percent-insample in table C shows the design factor to be 1.1 for

‘‘Employment Status.’’ Thus, the approximate standard

error of the percentage (55.9 percent) is 0.86 x 1.1 = 0.95

percentage points.

Now suppose that one wished to obtain the standard

error of the difference between City A and City B of the

percentages of persons who were 16 years and over and

who were in the civilian labor force. The difference in the

percentages of interest for the two cities is:

62.6 - 55.9 = 6.7 percent.

Using the results of the previous example:

SE$6.7$ = √$SE$62.6$$2$$SE$55.9$$2= √$0.94$2$$0.95$2

= 1.34 percentage points

The 90 percent confidence interval for the difference is

formed as before:

$6.70 $ 1.645$1.34$$ to $6.70 $ 1.645$1.34$$

or

4.50 to 8.90

One can say with 90 percent confidence that the

interval includes the difference that would have been

obtained by averaging the results from all possible samples.

For reasonably large samples, ratio estimates are normally distributed, particularly for the census population.

Therefore, if we can calculate the standard error of a ratio

estimate then we can form a confidence interval around

the ratio. Suppose that one wished to obtain the standard

error of the ratio of the estimate of persons who were 16

years and over and who were in the civilian labor force in

City A to the estimate of persons who were 16 years and

over and who were in the civilian labor force in City B. The

ratio of the two estimates of interest is:

9948/ 9314 = 1.07

SE $1.07$ = $

9948

9314$ $ 1792

$9948$2 $

1882

$9314$2

= .029

Using the results above, the 90 percent confidence

interval for this ratio would be:

$1.07$1.645$.029$$ to $1.07$1.645$.029$$

or

1.02 to 1.12

ESTIMATION PROCEDURE

The estimates which appear in this publication were

obtained from an iterative ratio estimation procedure (iterative proportional fitting) resulting in the assignment of a

weight to each sample person or housing unit record. For

any given tabulation area, a characteristic total was estimated by summing the weights assigned to the persons or

housing units possessing the characteristic in the tabulation area. Estimates of family or household characteristics

were based on the weight assigned to the family member

designated as householder. Each sample person or housing unit record was assigned exactly one weight to be used

to produce estimates of all characteristics. For example, if

the weight given to a sample person or housing unit had

the value 6, all characteristics of that person or housing

unit would be tabulated with the weight of 6. The estimation procedure, however, did assign weights varying from

person to person or housing unit to housing unit. The

estimation procedure used to assign the weights was

performed in geographically defined ‘‘weighting areas.’’

Weighting areas generally were formed of contiguous

geographic units which agreed closely with census tabulation areas within counties. Weighting areas were required

to have a minimum sample of 400 persons. Weighting

areas never crossed State or county boundaries. In small

counties with a sample count below 400 persons, the

minimum required sample condition was relaxed to permit

the entire county to become a weighting area.

Within a weighting area, the ratio estimation procedure

for persons was performed in four stages. For persons, the

first stage applied 17 household-type groups. The second

stage used two groups: sampling rate of 1-in-2; sampling

rate less than 1-in-2. The third stage used the dichotomy

householders/ nonhouseholders. The fourth stage applied

180 aggregate age-sex-race-Hispanic origin categories.

The stages were as follows:

PERSONS

STAGE I: TYPE OF HOUSEHOLD

Group Persons in Housing Units With a Family

With Own Children Under 18

1 2 persons in housing unit

2 3 persons in housing unit

3 4 persons in housing unit

4 5 to 7 persons in housing unit

5 8 or more persons in housing unit

Persons in Housing Units With a Family

Without Own Children Under 18

6-10 2 through 8 or more persons in

housing unit

Persons in All Other Housing Units

11 1 person in housing unit

12-16 2 through 8 or more persons in

housing unit

Persons in Group Quarters

17 Persons in Group Quarters

STAGE II: SAMPLING RATES

1 Sampling rate of 1-in-2

2 Sampling rate less than 1-in-2

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STAGE III: HOUSEHOLDER/ NONHOUSEHOLDER

1 Householder

2 Nonhouseholder

STAGE IV: AGE/ SEX/ RACE/ HISPANIC ORIGIN

Group White

Persons of Hispanic Origin

Male

1 0 to 4 years

2 5 to 14 years

3 15 to 19 years

4 20 to 24 years

5 25 to 34 years

6 35 to 54 years

7 55 to 64 years

8 65 to 74 years

9 75 years and over

Female

10-18 Same age categories as groups

1 through 9.

Persons Not of Hispanic Origin

19-36 Same sex and age categories

as groups 1 through 18.

Black

37-72 Same age/ sex/ Hispanic origin categories as groups 1 through 36.

Asian or Pacific Islander

73-108 Same age/ sex/ Hispanic origin categories as groups 1 through 36.

American Indian, Eskimo, or Aleut

109-144 Same age/ sex/ Hispanic origin categories as groups 1 through 36.

Other Race (includes those races not

listed above)

145-180 Same age/ sex/ Hispanic origin categories as groups 1 through 36.

Within a weighting area, the first step in the estimation

procedure was to assign an initial weight to each sample

person record. This weight was approximately equal to the

inverse of the probability of selecting a person for the

census sample.

The next step in the estimation procedure, prior to

iterative proportional fitting, was to combine categories in

each of the four estimation stages, when needed to

increase the reliability of the ratio estimation procedure.

For each stage, any group that did not meet certain criteria

for the unweighted sample count or for the ratio of the

100-percent to the initially weighted sample count, was

combined, or collapsed, with another group in the same

stage according to a specified collapsing pattern. At the

fourth stage, an additional criterion concerning the number

of complete count persons in each race/ Hispanic origin

category was applied.

As the final step, the initial weights underwent four

stages of ratio adjustment applying the grouping procedures described above. At the first stage, the ratio of the

complete census count to the sum of the initial weights for

each sample person was computed for each stage I group.

The initial weight assigned to each person in a group was

then multiplied by the stage I group ratio to produce an

adjusted weight.

In stage II, the stage I adjusted weights were again

adjusted by the ratio of the complete census count to the

sum of the stage I weights for sample persons in each

stage II group. Next, at stage III, the stage II weights were

adjusted by the ratio of the complete census count to the

sum of the stage II weights for sample persons in each

stage III group. Finally, at stage IV, the stage III weights

were adjusted by the ratio of the complete census count to

the sum of the stage III weights for sample persons in each

stage IV group. The four stages of ratio adjustment were

performed two times (two iterations) in the order given

above. The weights obtained from the second iteration for

stage IV were assigned to the sample person records.

However, to avoid complications in rounding for tabulated

data, only whole number weights were assigned. For

example, if the final weight of the persons in a particular

group was 7.25 then 1/ 4 of the sample persons in this

group were randomly assigned a weight of 8, while the

remaining 3/ 4 received a weight of 7.

The ratio estimation procedure for housing units was

essentially the same as that for persons, except that

vacant units were treated differently. The occupied housing unit ratio estimation procedure was done in four stages,

and the vacant housing unit ratio estimation procedure was

done in a single stage. The first stage for occupied housing

units applied 16 household type categories, while the

second stage used the two sampling categories described

above for persons. The third stage applied three units-instructure categories; i.e. single units, multi-unit less than 10

and multi-unit 10 or more. The fourth stage could potentially use 200 tenure-race-Hispanic origin-value/ rent groups.

The stages for ratio estimation for housing units were as

follows:

OCCUPIED HOUSING UNITS

STAGE I: TYPE OF HOUSEHOLD

Group Housing Units With a Family With Own

Children Under 18

1 2 persons in housing unit

2 3 persons in housing unit

3 4 persons in housing unit

4 5 to 7 persons in housing unit

5 8 or more persons in housing unit

Housing Units With a Family Without

Own Children Under 18

6-10 2 through 8 or more persons in

housing unit

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STAGE I: TYPE OF HOUSEHOLD—Con.

All Other Housing Units

11 1 person in housing unit

12-16 2 through 8 or more persons in

housing unit

STAGE II: SAMPLING RATE CATEGORY

1 Sampling rate of 1-in-2

2 Sampling rate less than 1-in-2

STAGE III: UNITS IN STRUCTURE

1 Single unit structure

2 Multi-unit structure consisting of fewer

than 10 individual units

3 Multi-unit structure consisting of 10 or

more individual units

STAGE IV: TENURE/ RACE AND HISPANIC ORIGIN OF

HOUSEHOLDER/ VALUE OR RENT

Group Owner

White Householder

Householder of Hispanic Origin

Value

1 Less than $20,000

2 $20,000 to $39,999

3 $40,000 to $59,999

4 $60,000 to $79,999

5 $80,000 to $99,999

6 $100,000 to $149,999

7 $150,000 to $249,999

8 $250,000 to $299,999

9 $300,000 or more

10 Other1

Householder Not of Hispanic Origin

11-20 Same value categories as groups

1 through 10

Black Householder

21-40 Same Hispanic origin/ value categories as groups 1 through 20

Asian or Pacific Islander Householder

41-60 Same Hispanic origin/ value categories as groups 1 through 20

American Indian, Eskimo, or Aleut

Householder

61-80 Same Hispanic origin/ value categories as groups 1 through 20

Householder of Other Race

81-100 Same Hispanic origin/ value categories as groups 1 through 20

1

Value of units in this category results from other factors besides

housing value alone, for example, inclusion of more than 10 acres of

land, or presence of a business establishment on the premises.

Renter

White Householder

Householder of Hispanic origin

Rent

101 Less than $100

102 $100 to $199

103 $200 to $299

104 $300 to $399

105 $400 to $499

106 $500 to $599

107 $600 to $749

108 $750 to $999

109 $1,000 or more

110 No cash rent

Householder Not of Hispanic Origin

111-120 Same rent categories as groups

101 through 110

Black Householder

121-140 Same Hispanic origin/ rent categories as groups 101 through

120

Asian or Pacific Islander Householder

141-160 Same Hispanic origin/ rent categories as groups 101 through

120

American Indian, Eskimo, or Aleut

Householder

161-180 Same Hispanic origin/ rent categories as groups 101 through

120

Householder of Other Race

181-200 Same Hispanic origin/ rent categories as groups 101 through

120

Vacant Housing Units

1 Vacant for rent

2 Vacant for sale

3 Other vacant

The estimates produced by this procedure realize some

of the gains in sampling efficiency that would have resulted

if the population had been stratified into the ratio estimation groups before sampling, and if the sampling rate had

been applied independently to each group. The net effect

is a reduction in both the standard error and the possible

bias of most estimated characteristics to levels below what

would have resulted from simply using the initial, unadjusted weight. A by-product of this estimation procedure is

that the estimates from the sample will, for the most part,

be consistent with the complete count figures for the

population and housing unit groups used in the estimation

procedure.

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Control of Nonsampling Error

As mentioned earlier, both sample and 100-percent

data are subject to nonsampling error. This component of

error could introduce serious bias into the data, and the

total error could increase dramatically over that which

would result purely from sampling. While it is impossible to

completely eliminate nonsampling error from an operation

as large and complex as the decennial census, the Bureau

of the Census attempted to control the sources of such

error during the collection and processing operations.

Described below are the primary sources of nonsampling

error and the programs instituted for control of this error.

The success of these programs, however, was contingent

upon how well the instructions actually were carried out

during the census. As part of the 1990 census evaluation

program, both the effects of these programs and the

amount of error remaining after their application will be

evaluated.

Undercoverage—It is possible for some households or

persons to be missed entirely by the census. The undercoverage of persons and housing units can introduce

biases into the data.

Several coverage improvement programs were implemented during the development of the census address list

and census enumeration and processing to minimize undercoverage of the population and housing units. These

programs were developed based on experience from the

1980 census and results from the 1990 census testing

cycle. In developing and updating the census address list,

the Census Bureau used a variety of specialized procedures in different parts of the country.

• In the large urban areas, the Census Bureau purchased

and geocoded address lists. Concurrent with geocoding,

the United States Postal Service (USPS) reviewed and

updated this list. After the postal check, census enumerators conducted a dependent canvass and update operation. In the fall of 1989, local officials were given the

opportunity to examine block counts of address listings

(local review) and identify possible errors. Prior to mailout, the USPS conducted a final review.

• In small cities, suburban areas, and selected rural parts

of the country, the Census Bureau created the address

list through a listing operation. The USPS reviewed and

updated this list, and the Census Bureau reconciled

USPS corrections and updated through a field operation.

In the fall of 1989, local officials participated in reviewing

block counts of address listings. Prior to mailout, the

USPS conducted a final review.

• The Census Bureau (rather than the USPS) conducted a

listing operation in the fall of 1989 and delivered census

questionnaires in selected rural and seasonal housing

areas in March of 1990. In some inner-city public housing developments, whose addresses had been obtained

via the purchased address list noted above, census

questionnaires were also delivered by Census Bureau

enumerators.

Coverage improvement programs continued during and

after mailout. A recheck of units initially classified as

vacant or nonexistent improved further the coverage of

persons and housing units. All local officials were given the

opportunity to participate in a post-census local review,

and census enumerators conducted an additional recanvass. In addition, efforts were made to improve the coverage of unique population groups, such as the homeless

and parolees/ probationers. Computer and clerical edits

and telephone and personal visit followup also contributed

to improved coverage.

More extensive discussion of the programs implemented

to improve coverage will be published by the Census

Bureau when the evaluation of the coverage improvement

program is completed.

Respondent and Enumerator Error—The person answering the questionnaire or responding to the questions posed

by an enumerator could serve as a source of error,

although the questions were phrased as clearly as possible based on precensus tests, and detailed instructions for

completing the questionnaire were provided to each household. In addition, respondents’ answers were edited for

completeness and consistency, and problems were followed up as necessary.

The enumerator may misinterpret or otherwise incorrectly record information given by a respondent; may fail to

collect some of the information for a person or household;

or may collect data for households that were not designated as part of the sample. To control these problems,

the work of enumerators was monitored carefully. Field

staff were prepared for their tasks by using standardized

training packages that included hands-on experience in

using census materials. A sample of the households

interviewed by enumerators for nonresponse were reinterviewed to control for the possibility of data for fabricated

persons being submitted by enumerators. Also, the estimation procedure was designed to control for biases that

would result from the collection of data from households

not designated for the sample.

Processing Error—The many phases involved in processing the census data represent potential sources for the

introduction of nonsampling error. The processing of the

census questionnaires includes the field editing, followup,

and transmittal of completed questionnaires; the manual

coding of write-in responses; and the electronic data

processing. The various field, coding and computer operations undergo a number of quality control checks to

insure their accurate application.

Nonresponse—Nonresponse to particular questions on

the census questionnaire allows for the introduction of bias

into the data, since the characteristics of the nonrespondents have not been observed and may differ from those

reported by respondents. As a result, any imputation

procedure using respondent data may not completely

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reflect this difference either at the elemental level (individual person or housing unit) or on the average. Some

protection against the introduction of large biases is afforded

by minimizing nonresponse. In the census, nonresponse

was reduced substantially during the field operations by

the various edit and followup operations aimed at obtaining

a response for every question. Characteristics for the

nonresponses remaining after this operation were imputed

by the computer by using reported data for a person or

housing unit with similar characteristics.

EDITING OF UNACCEPTABLE DATA

The objective of the processing operation is to produce

a set of data that describes the population as accurately

and clearly as possible. To meet this objective, questionnaires were edited during field data collection operations

for consistency, completeness, and acceptability. Questionnaires also were reviewed by census clerks for omissions, certain specific inconsistencies, and population coverage. For example, write-in entries such as ‘‘Don’t know’’

or ‘‘NA’’ were considered unacceptable. For some district

offices, the initial edit was automated; however, for the

majority of the district offices, it was performed by clerks.

As a result of this operation, a telephone or personal visit

followup was made to obtain missing information. Potential

coverage errors were included in the followup, as well as a

sample of questionnaires with omissions and/ or inconsistencies.

Subsequent to field operations, remaining incomplete or

inconsistent information on the questionnaires was assigned

using imputation procedures during the final automated

edit of the collected data. Imputations, or computer assignments of acceptable codes in place of unacceptable

entries or blanks, are needed most often when an entry for

a given item is lacking or when the information reported for

a person or housing unit on that item is inconsistent with

other information for that same person or housing unit. As

in previous censuses, the general procedure for changing

unacceptable entries was to assign an entry for a person

or housing unit that was consistent with entries for persons

or housing units with similar characteristics. The assignment of acceptable codes in place of blanks or unacceptable entries enhances the usefulness of the data.

Another way in which corrections were made during the

computer editing process was through substitution; that is,

the assignment of a full set of characteristics for a person

or housing unit. When there was an indication that a

housing unit was occupied but the questionnaire contained

no information for the people within the household or the

occupants were not listed on the questionnaire, a previously accepted household was selected as a substitute,

and the full set of characteristics for the substitute was

duplicated. The assignment of the full set of housing

characteristics occurred when there was no housing information available. If the housing unit was determined to be

occupied, the housing characteristics were assigned from

a previously processed occupied unit. If the housing unit

was vacant, the housing characteristics were assigned

from a previously processed vacant unit.

ACCURACY OF THE DATA C–9
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Table A. Unadjusted Standard Error for Estimated Totals

[Based on a 1-in-6 simple random sample]

Estimated Total1

Size of publication area2

500 1,000 2,500 5,000 10,000 25,000 50,000 100,000 250,000 500,000 1,000,000 5,000,000 10,000,000 25,000,000

50 . . . . . . . . . . . . 16 16 16 16 16 16 16 16 16 16 16 16 16 16

100 . . . . . . . . . . . 20 21 22 22 22 22 22 22 22 22 22 22 22 22

250 . . . . . . . . . . . 25 30 35 35 35 35 35 35 35 35 35 35 35 35

500 . . . . . . . . . . . - 35 45 45 50 50 50 50 50 50 50 50 50 50

1,000 . . . . . . . . . . - - 55 65 65 70 70 70 70 70 70 70 70 70

2,500 . . . . . . . . . . - - - 80 95 110 110 110 110 110 110 110 110 110

5,000 . . . . . . . . . . - - - - 110 140 150 150 160 160 160 160 160 160

10,000 . . . . . . . . . - - - - - 170 200 210 220 220 220 220 220 220

15,000 . . . . . . . . . - - - - - 170 230 250 270 270 270 270 270 270

25,000 . . . . . . . . . - - - - - - 250 310 340 350 350 350 350 350

75,000 . . . . . . . . . - - - - - - - 310 510 570 590 610 610 610

100,000 ........ ---- - - - - 550 630 670 700 700 710

250,000 ........ - - - - - - - - - 790 970 1 090 1 100 1 100

500,000 ........ - - - - - - - - - - 1 120 1 500 1 540 1 570

1,000,000....... ---- - - - - - - - 2 000 2 120 2 190

5,000,000....... ---- - - - - - - - - 3 540 4 470

10,000,000...... ---- - - - - - - - - - 5 480

1

For estimated totals larger than 10,000,000, the standard error is somewhat larger than the table values. The formula given below should be used

to calculate the standard error.

SE$ Yˆ$ = $5 Yˆ

$1 $

Y

ˆ

N $

N = Size of area

Y

ˆ = Estimate of characteristic total

2

The total count of persons in the area if the estimated total is a person characteristic, or the total count of housing units in the area if the estimated

total is a housing unit characteristic.

Table B. Unadjusted Standard Error in Percentage Points for Estimated Percentage

[Based on a 1-in-6 simple random sample]

Estimated Percentage

Base of percentage1

500 750 1,000 1,500 2,500 5,000 7,500 10,000 25,000 50,000 100,000 250,000 500,000

2 or 98 . . . . . . . . . . . . . . . . . 1.4 1.1 1.0 0.8 0.6 0.4 0.4 0.3 0.2 0.1 0.1 0.1 0.1

5 or 95 . . . . . . . . . . . . . . . . . 2.2 1.8 1.5 1.3 1.0 0.7 0.6 0.5 0.3 0.2 0.2 0.1 0.1

10 or 90. . . . . . . . . . . . . . . . . 3.0 2.4 2.1 1.7 1.3 0.9 0.8 0.7 0.4 0.3 0.2 0.1 0.1

15 or 85. . . . . . . . . . . . . . . . . 3.6 2.9 2.5 2.1 1.6 1.1 0.9 0.8 0.5 0.4 0.3 0.2 0.1

20 or 80. . . . . . . . . . . . . . . . . 4.0 3.3 2.8 2.3 1.8 1.3 1.0 0.9 0.6 0.4 0.3 0.2 0.1

25 or 75. . . . . . . . . . . . . . . . . 4.3 3.5 3.1 2.5 1.9 1.4 1.1 1.0 0.6 0.4 0.3 0.2 0.1

30 or 70. . . . . . . . . . . . . . . . . 4.6 3.7 3.2 2.6 2.0 1.4 1.2 1.0 0.6 0.5 0.3 0.2 0.1

35 or 65. . . . . . . . . . . . . . . . . 4.8 3.9 3.4 2.8 2.1 1.5 1.2 1.1 0.7 0.5 0.3 0.2 0.2

50 . . . . . . . . . . . . . . . . . . . . . 5.0 4.1 3.5 2.9 2.2 1.6 1.3 1.1 0.7 0.5 0.4 0.2 0.2

1

For a percentage and/ or base of percentage not shown in the table, the formula given below may be used to calculate the standard error. This table

should only be used for proportions, that is, where the numerator is a subset of the denominator.

SE$ pˆ$= $ 5

B p

ˆ

$100$ pˆ$

B = Base of estimated percentage

p

ˆ = Estimated percentage

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Table C. Standard Error Design Factors—New Mexico

[Percent of persons or housing units in sample]

Characteristic Less than 15

percent

15 to 30

percent

30 to 45

percent

45 percent

or more

POPULATION

Age. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Sex. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Race . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Hispanic origin (of any race). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Marital status . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1 0.9 0.6 0.5

Household type and relationship . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3 1.1 0.7 0.6

Children ever born . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.9 2.5 1.7 1.4

Work disability and mobility limitation status . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Ancestry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.4 2.0 1.4 1.2

Place of birth . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.0 1.7 1.3 1.1

Citizenship . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.8 1.5 1.0 0.8

Residence in 1985 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.1 1.9 1.2 1.0

Year of entry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.4 1.1 0.7 0.6

Language spoken at home and ability to speak English. . . . . . . . 1.6 1.3 0.8 0.7

Educational attainment. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3 1.1 0.7 0.6

School enrollment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.7 1.5 0.9 0.8

Type of residence (urban/ rural) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.6 2.6 1.4 1.4

Household type . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3 1.1 0.7 0.6

Family type . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Group quarters. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.0 0.9 0.9 0.9

Subfamily type and presence of children . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Employment status . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Industry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3 1.1 0.6 0.5

Occupation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Class of worker . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.4 1.2 0.7 0.6

Hours per week and weeks worked in 1989 . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Number of workers in family. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.4 1.2 0.7 0.6

Place of work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.5 1.3 0.7 0.6

Means of transportation to work . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.4 1.2 0.7 0.6

Travel time to work. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3 1.1 0.6 0.6

Private vehicle occupancy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.4 1.2 0.7 0.6

Time leaving home to go to work . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3 1.1 0.6 0.5

Type of income in 1989. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.4 1.2 0.7 0.6

Household income in 1989 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Family income in 1989. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Poverty status in 1989 (persons). . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.7 1.4 0.8 0.7

Poverty status in 1989 (families) . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Armed Forces and veteran status . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.4 1.2 0.8 0.6

HOUSING

Age of householder . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Race of householder . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Hispanic origin of householder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Type of residence (urban/ rural) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1 0.9 0.6 0.5

Condominium status. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Units in structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Tenure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Occupancy status . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Value . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Gross rent. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Household income in 1989 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Year structure built . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Rooms, bedrooms. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Kitchen facilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.2 0.8 0.5

Source of water, plumbing facilities. . . . . . . . . . . . . . . . . . . . . . . . . . 1.3 1.1 0.6 0.5

Sewage disposal . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.5 0.5

House heating fuel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3 1.1 0.6 0.5

Telephone in housing unit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.1 0.6 0.5

Vehicles available . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3 1.1 0.6 0.5

Year householder moved into structure . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Mortgage status and monthly mortgage costs .... . . . . . . . . . . . . 1.2 1.0 0.6 0.5

Mortgage status and selected monthly owner costs . . . . . . . . . . . 1.2 1.0 0.6 0.5

Gross rent as a percentage of household income in 1989 . . . . . 1.2 1.0 0.6 0.5

Household income in 1989 by selected monthly owner costs

as a percentage of income . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 1.0 0.6 0.5

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APPENDIX D.

Collection and Processing Procedures

CONTENTS

Data Collection Procedures -------------------------------- D–2

Enumeration and Residence Rules ------------------------- D–1

Processing Procedures ------------------------------------ D–4

ENUMERATION AND RESIDENCE RULES

In accordance with census practice dating back to the

first United States census in 1790, each person was to be

enumerated as an inhabitant of his or her ‘‘usual residence’’ in the 1990 census. Usual residence is the place

where the person lives and sleeps most of the time or

considers to be his or her usual residence. This place is not

necessarily the same as the person’s legal residence or

voting residence. In the vast majority of cases, however,

the use of these different bases of classification would

produce substantially the same statistics, although there

might be appreciable differences for a few areas.

The implementation of this practice has resulted in the

establishment of rules for certain categories of persons

whose usual place of residence is not immediately apparent. Furthermore, this practice means that persons were

not always counted as residents of the place where they

happened to be staying on Census Day (April 1, 1990).

Enumeration Rules

Each person whose usual residence was in the United

States was to be included in the census, without regard to

the person’s legal status or citizenship. In a departure from

earlier censuses, foreign diplomatic personnel participated

voluntarily in the census, regardless of their residence on

or off the premises of an embassy. As in previous censuses, persons in the United States specifically excluded

from the census were foreign travelers who had not

established a residence.

Americans with a usual residence outside the United

States were not enumerated in the 1990 census. United

States military and Federal civilian employees, and their

dependents overseas, are included in the population counts

for States for purposes of Congressional apportionment,

but are excluded from all other tabulations for States and

their subdivisions. The counts of United States military and

Federal civilian employees, and their dependents, were

obtained from administrative records maintained by Federal departments and agencies. Other Americans living

overseas, such as employees of international agencies

and private businesses and students, were not enumerated, nor were their counts obtained from administrative

sources. On the other hand, Americans temporarily overseas were to be enumerated at their usual residence in the

United States.

Residence Rules

Each person included in the census was to be counted

at his or her usual residence—the place where he or she

lives and sleeps most of the time or the place where the

person considers to be his or her usual home. If a person

had no usual residence, the person was to be counted

where he or she was staying on April 1, 1990.

Persons temporarily away from their usual residence,

whether in the United States or overseas, on a vacation or

on a business trip, were counted at their usual residence.

Persons who occupied more than one residence during the

year were counted at the one they considered to be their

usual residence. Persons who moved on or near Census

Day were counted at the place they considered to be their

usual residence.

Persons in the Armed Forces—Members of the Armed

Forces were counted as residents of the area in which the

installation was located, either on the installation or in the

surrounding community. Family members of Armed Forces

personnel were counted where they were living on Census

Day (for example, with the Armed Forces person or at

another location).

Each Navy ship not deployed to the 6th or 7th Fleet was

attributed to the municipality that the Department of the

Navy designated as its homeport. If the homeport included

more than one municipality, ships berthed there on Census

Day were assigned by the Bureau of the Census to the

municipality in which the land immediately adjacent to the

dock or pier was actually located. Ships attributed to the

homeport, but not physically present and not deployed to

the 6th or 7th Fleet, were assigned to the municipality

named on the Department of the Navy’s homeport list.

These rules also apply to Coast Guard vessels.

Personnel assigned to each Navy and Coast Guard ship

were given the opportunity to report a residence off the

ship. Those who did report an off-ship residence in the

communities surrounding the homeport were counted there;

those who did not were counted as residents of the ship.

Personnel on Navy ships deployed to the 6th or 7th Fleet

on Census Day were considered to be part of the overseas

population.

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Persons on Maritime Ships—Persons aboard maritime

ships who reported an off-ship residence were counted at

that residence. Those who did not were counted as

residents of the ship, and were attributed as follows:

1. The port where the ship was docked on Census Day,

if that port was in the United States or its territories.

2. The port of departure if the ship was at sea, provided

the port was in the United States or its territories.

3. The port of destination in the United States or its

territories, if the port of departure of a ship at sea was

a foreign port.

4. The overseas population if the ship was docked at a

foreign port or at sea between foreign ports. (These

persons were not included in the overseas population

for apportionment purposes.)

Persons Away at School—College students were counted

as residents of the area in which they were living while

attending college, as they have been since the 1950

census. Children in boarding schools below the college

level were counted at their parental home.

Persons in Institutions—Persons under formally authorized, supervised care or custody, such as in Federal or

State prisons; local jails; Federal detention centers; juvenile institutions; nursing, convalescent, and rest homes for

the aged and dependent; or homes, schools, hospitals, or

wards for the physically handicapped, mentally retarded,

or mentally ill, were counted at these places.

Persons Away From Their Usual Residence on Census

Day—Migrant agricultural workers who did not report a

usual residence elsewhere were counted as residents of

the place where they were on Census Day. Persons in

worker camps who did not report a usual residence

elsewhere were counted as residents of the camp where

they were on Census Day.

In some parts of the country, natural disasters displaced

significant numbers of households from their usual place of

residence. If these persons reported a destroyed or damaged residence as their usual residence, they were counted

at that location.

Persons away from their usual residence were counted

by means of interviews with other members of their

families, resident managers, or neighbors.

DATA COLLECTION PROCEDURES

The 1990 census was conducted primarily through

self-enumeration. The questionnaire packet included general information about the 1990 census and an instruction

guide explaining how to complete the questionnaire. Spanishlanguage questionnaires and instruction guides were available on request. Instruction guides also were available in

32 other languages.

Enumeration of Housing Units

Each housing unit in the country received one of two

versions of the census questionnaire:

1. A short-form questionnaire that contained a limited

number of basic population and housing questions;

these questions were asked of all persons and housing units and are often referred to as 100-percent

questions.

2. A long-form questionnaire that contained the 100-

percent items and a number of additional questions; a

sampling procedure was used to determine those

housing units that were to receive the long-form

questionnaire.

Three sampling rates were employed. For slightly more

than one-half of the country, one in every six housing units

(about 17 percent) received the long-form or sample

questionnaire. In functioning local governmental units (counties and incorporated places, and in some parts of the

country, towns and townships) estimated to have fewer

than 2,500 inhabitants, every other housing unit (50 percent) received the sample questionnaire in order to enhance

the reliability of the sample data for these small areas. For

census tracts and block numbering areas having more

than 2,000 housing units in the Census Bureau’s address

files, one in every eight housing units (about 13 percent)

received a sample questionnaire, providing reliable statistics for these areas while permitting the Census Bureau to

stay within a limit of 17.7 million sample questionnaires, or

a one-in-six sample, nationwide.

The mail-out/ mail-back procedure was used mainly in

cities, suburban areas, towns, and rural areas where

mailing addresses consisted of a house number and street

name. In these areas, the Census Bureau developed

mailing lists that included about 88.4 million addresses.

The questionnaires were delivered through the mail and

respondents were to return them by mail. Census questionnaires were delivered 1 week before Census Day (April

1, 1990)

The update/ leave/ mail-back method was used mainly

in densely populated rural areas where it was difficult to

develop mailing lists because mailing addresses did not

use house number and street name. The Census Bureau

compiled lists of housing units in advance of the census.

Enumerators delivered the questionnaires, asked respondents to return them by mail, and added housing units not

on the mailing lists. This method was used mainly in the

South and Midwest, and also included some high-rise,

low-income urban areas. A variation of this method was

used in urban areas having large numbers of boarded-up

buildings. About 11 million housing units were enumerated

using this method.

The list/ enumerate method (formerly called conventional or door-to-door enumeration) was used mainly in

very remote and sparsely-settled areas. The United States

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Postal Service delivered unaddressed short-form questionnaires before Census Day. Starting a week before Census

Day, enumerators canvassed these areas, checked that all

housing units received a questionnaire, created a list of all

housing units, completed long-form questionnaires, and

picked up the completed short-form questionnaires. This

method was used mainly in the West and Northeast to

enumerate an estimated 6.5 million housing units.

Followup

Nonresponse Followup—In areas where respondents

were to mail back their questionnaires, an enumerator

visited each address from which a questionnaire was not

received.

Coverage and Edit-Failure Followup—In the mail-back

areas, some households returned a questionnaire that did

not meet specific quality standards because of incomplete

or inconsistent information, or the respondent had indicated difficulty in deciding who was to be listed on the

questionnaire. These households were contacted by telephone or by personal visit to obtain the missing information

or to clarify who was to be enumerated in the household. In

areas where an enumerator picked up the questionnaires,

the enumerator checked the respondent-filled questionnaire for completeness and consistency.

Special Enumeration Procedures

Special procedures and questionnaires were used for

the enumeration of persons in group quarters, such as

college dormitories, nursing homes, prisons, military barracks, and ships. The questionnaires (Individual Census

Reports, Military Census Reports, and Shipboard Census

Reports) included the 100-percent population questions

but did not include any housing questions. In all group

quarters, all persons were asked the basic population

questions; in most group quarters, additional questions

were asked of a sample (one-in-six) of persons.

Shelter and Street Night (S-Night)

The Census Bureau collected data for various components of the homeless population at different stages in the

1990 census. ‘‘Shelter and Street Night’’ (S-Night) was a

special census operation to count the population in four

types of locations where homeless people are found. On

the evening of March 20, 1990, and during the early

morning hours of March 21, 1990, enumerators counted

persons in pre-identified locations:

1. Emergency shelters for the homeless population (public and private; permanent and temporary).

2. Shelters with temporary lodging for runaway youths.

3. Shelters for abused women and their children.

4. Open locations in streets or other places not intended

for habitation.

Emergency shelters include all hotels and motels costing $12 or less (excluding taxes) per night regardless of

whether persons living there considered themselves to be

homeless, hotels and motels (regardless of cost) used

entirely to shelter homeless persons, and pre-identified

rooms in hotels and motels used for homeless persons

and families. Enumeration in shelters usually occurred

from 6 p.m. to midnight; street enumeration, from 2 a.m. to

4 a.m.; abandoned and boarded-up buildings from 4 a.m. to

8 a.m.; and shelters for abused women, from 6 p.m. on

March 20 to noon on March 21.

Other components, which some consider as part of the

homeless population, were enumerated as part of regular

census operations. These include persons doubled up with

other families, as well as persons with no other usual home

living in transient sites, such as commercial campgrounds,

maternity homes for unwed mothers, and drug/ alcohol

abuse detoxification centers. In institutions, such as local

jails and mental hospitals, the Census Bureau does not

know who has a usual home elsewhere; therefore, even

though some are literally homeless, these persons cannot

be identified separately as a component of the homeless

population.

There is no generally agreed-upon definition of ‘‘the

homeless,’’ and there are limitations in the census count

that prevent obtaining a total count of the homeless

population under any definition. As such, the Census

Bureau does not have a definition and will not provide a

total count of ‘‘the homeless.’’ Rather, the Census Bureau

will provide counts and characteristics of persons found at

the time of the census in selected types of living arrangements. These selected components can be used as building blocks to construct a count of homeless persons

appropriate to particular purposes as long as the data

limitations are taken into account.

In preparation for ‘‘Shelter-and-Street-Night’’ enumeration, the regional census centers (RCC’s) mailed a certified

letter (Form D-33 (L)) to the highest elected official of each

active functioning government of the United States (more

than 39,000) requesting them to identify:

1. All shelters with sleeping facilities (permanent and

temporary, such as church basements, armories,

public buildings, and so forth, that could be open on

March 20).

2. Hotels and motels used to house homeless persons

and families.

3. A list of outdoor locations where homeless persons

tend to be at night.

4. Places such as bus or train stations, subway stations,

airports, hospital emergency rooms, and so forth,

where homeless persons seek shelter at night.

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5. The specific addresses of abandoned or boarded-up

buildings where homeless persons were thought to

stay at night.

The letter from the RCC’s to the governmental units

emphasized the importance of listing night-time congregating sites. The list of shelters was expanded using information from administrative records and informed local sources.

The street sites were limited to the list provided by the

jurisdictions. All governmental units were eligible for ‘‘Shelter and Street Night.’’ For cities with 50,000 or more

persons, the Census Bureau took additional steps to

update the list of shelter and street locations if the local

jurisdiction did not respond to the certified letter. Smaller

cities and rural areas participated if the local jurisdiction

provided the Census Bureau a list of shelters or open

public places to visit or if shelters were identified through

our inventory development, local knowledge update, or

during the Special Place Prelist operation.

The Census Bureau encouraged persons familiar with

homeless persons and the homeless themselves to apply

as enumerators. This recruiting effort was particularly

successful in larger cities.

For shelters, both long- and short-form Individual Census Reports (ICR’s) were distributed. For street enumeration, only short-form ICR’s were used. Persons in shelters

and at street locations were asked the basic population

questions. Additional questions about social and economic

characteristics were asked of a sample of persons in

shelters only.

Enumerators were instructed not to ask who was homeless; rather, they were told to count all persons (including

children) staying overnight at the shelters, and everyone

they saw on the street except the police, other persons in

uniform, and persons engaged in employment or obvious

money-making activities other than begging and panhandling.

At both shelter and street sites, persons found sleeping

were not awakened to answer questions. Rather, the

enumerator answered the sex and race questions by

observation and estimated the person’s age to the best of

his or her ability. In shelters, administrative records and

information from the shelter operator were used, when

available, for persons who were already asleep.

Less than 1 percent of shelters refused to participate in

the census count at first. By the end of the census period,

most of those eventually cooperated and the number of

refusals had been reduced to a few. For the final refusals,

head counts and population characteristics were obtained

by enumerators standing outside such shelters and counting people as they left in the morning.

The ‘‘street’’ count was restricted to persons who were

visible when the enumerator came to the open, public

locations that had been identified by local jurisdictions.

Homeless persons who were well hidden, moving about, or

in locations other than those identified by the local governments were likely missed. The number missed will

never be known and there is no basis to make an estimate

of the number missed from census data. The count of

persons in open, public places was affected by many

factors, including the extra efforts made to encourage

people to go to shelters for ‘‘Shelter and Street Night,’’ the

weather (which was unusually cold in many parts of the

country), the presence of the media, and distrust of the

census. Expectations of the number of homeless persons

on the street cannot be based on the number seen during

the day because the night-time situation is normally very

different as more homeless persons are in shelters or very

well hidden.

For both ‘‘Shelter-and-Street-Night’’ locations, the Census Bureau assumed that the usual home of those enumerated was in the block where they were found (shelter

or street).

The ‘‘Shelter-and-Street-Night’’ operation replaced and

expanded the 1980 Mission Night (M-Night) and Casual

Count operations. These two operations were aimed at

counting the population who reported having no usual

residence. M-Night was conducted a week after Census

Day, in April 1980. Enumerators visited hotels, motels, and

similar places costing $4 or less each night; missions,

flophouses, local jails and similar places at which the

average length of stay was 30 days or less; and nonshelter

locations, such as bus depots, train stations, and all night

movie theaters. Questions were asked of everyone, regardless of age. Enumerators conducted M-Night up to midnight on April 8, 1980, and returned the next morning to

collect any forms completed after midnight.

The Casual Count operation was conducted in May

1980 at additional nonshelter locations, such as street

corners, pool halls, welfare and employment offices. This

operation lasted for approximately 2 weeks. Casual Count

was conducted during the day only in selected large

central cities. Only persons who appeared to be at least 15

years of age were asked if they had been previously

enumerated. Casual Count was actually a coverage-improvement operation. It was not specifically an operation to

count homeless persons living in the streets. Persons were

excluded if they said they had a usual home outside the

city because it was not cost effective to check through

individual questionnaires in another city to try to find the

person.

PROCESSING PROCEDURES

Respondents returned many census questionnaires by

mail to 1 of over 344 census district offices or to one of six

processing offices. In these offices, the questionnaires

were ‘‘checked in’’ and edited for completeness and

consistency of the responses. After this initial processing

had been performed, all questionnaires were sent to the

processing offices.

In the processing offices, the household questionnaires

were microfilmed and processed by the Film Optical

Sensing Device for Input to Computers (FOSDIC). For

most items on the questionnaire, the information supplied

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by the respondent was indicated by filling circles in predesignated positions. FOSDIC electronically ‘‘read’’ these

filled circles from the microfilm copy of the questionnaire

and transferred the information to computer tape. The

computer tape did not include individual names, addresses,

or handwritten responses.

The data processing was performed in several stages.

All questionnaires were microfilmed, ‘‘read’’ by FOSDIC,

and transferred to computer disk. Selected written entries

in the race question on both the short and long forms were

keyed from the microfilm and coded using the data base

developed from the 1980 census and subsequent content

and operational tests. Keying of other written entries on

the long forms occurred in the seven processing offices.

The information (for example, income dollar amounts or

homeowner shelter costs) on these keyed files was merged

with the FOSDIC data or processed further through one of

three automated coding programs. The codes for industry,

occupation, place-of-birth, migration, place-of-work, ancestry, language, relationship, race, and Hispanic origin were

merged with the FOSDIC data for editing, weighting, and

tabulating operations at Census Bureau headquarters. All

responses to the questions on Individual Census Reports

(ICR’s), Military Census Reports (MCR’s), and Shipboard

Census Reports (SCR’s) were keyed, not processed by

microfilm or FOSDIC.

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APPENDIX E.

Facsimiles of Respondent Instructions and

Questionnaire Pages

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APPENDIX F.

Data Products and User Assistance

CONTENTS

Data Products --------------------------------------------- F–1

Geographic Products -------------------------------------- F–3

Other Census Bureau Resources -------------------------- F–5

Reference Materials --------------------------------------- F–4

Sources of Assistance ------------------------------------- F–4

The 1990 census data products, being released during

1991-93, are available in a variety of new and traditional

media. The Census Bureau has increased the product

options available to data users in an effort to meet a variety

of requirements and maximize the usefulness of the data.

For example,laser discs,called CD-ROM (compact disc—readonly memory), are a new data delivery medium.

The Census Bureau also has expanded services and

sources of assistance available to data users. For example, the State Data Center Program has been expanded to

include over 1,400 organizations to provide data and

services to the public.

This appendix provides a detailed introduction to the

1990 census data products and related materials, such as

maps and reference publications. It concludes by describing sources of assistance and other Census Bureau data

available to the public.

DATA PRODUCTS

Printed reports and computer tape files traditionally are

the most widely used products. The Census Bureau also

offers data on microfiche, on CD-ROM laser discs, and

through its online service, CENDATATM. These various

products are described below. For information about prices

and how to order, write or call Customer Services. (See the

‘‘Sources of Assistance’’ section for the address and

phone number.)

The data products present statistics about the subjects

covered in the 1990 census questionnaires. These subjects are listed in figure 1, page F–7. As the figure shows,

there are 100-percent subjects (those covered in questions asked of everyone or about every housing unit) and

sample subjects (those covered in questions asked at

about one out of every six housing units). Generally, a data

product presents either 100-percent data prepared by

tabulating the responses to the 100-percent questions

from all questionnaires, or sample data prepared by tabulating only the responses to the 100-percent and sample

questions from the ‘‘long-form’’ questionnaires. Two report

series, 1990 CPH-3 and 1990 CPH-4 (see figure 2, page

F–8), present both 100-percent and sample data.

Printed Reports

Printed reports are the most convenient and readily

available source of data for most census users. The

Census Bureau releases the reports in several series (see

figure 2) that are grouped under three broad titles: 1990

Census of Population and Housing (1990 CPH), 1990

Census of Population (1990 CP), and 1990 Census of

Housing (1990 CH). There also are reports, not reflected in

figure 2, for the outlying areas of the Pacific. The reports

are sold by the Superintendent of Documents, U.S. Government Printing Office. (See the ‘‘Sources of Assistance’’

section for the address and phone number.)

In several series, there are separate reports for each

State. The geographic coverage of the State reports is

listed in figure 2. The United States summaries for these

report series contain, for the most part, data for the United

States, regions, divisions, States, metropolitan areas (MA’s),

urbanized areas (UA’s), counties, American Indian and

Alaska Native areas, places with 10,000 or more persons,

and other large substate areas (for example, county subdivisions, such as towns and townships, with 10,000 or

more persons in selected States).

Report series that present data for small areas, such as

census tracts, contain limited subject-matter detail (for

example, counts of people by age ranges—under 5 years,

5 to 9 years, etc.—rather than by single years). Report

series that include greater amounts of subject-matter detail

include less geographic detail.

Computer Tape Files

The Census Bureau provides more data on tape and

other machine-readable products than in printed reports.

These products are sold by the Census Bureau’s Customer Services. There are several general types of data

files released on computer tape (available on both reels

and cartridges). They are introduced below, and more

information is presented in figures 3 and 4, pages F–11

through F–13.

Public Law 94-171 Data—This data file presents the

counts designed and formatted for use in legislative redistricting. These counts also are available on CD-ROM

and paper listings. Excerpts are available on

CENDATATM. The counts, for areas as small as blocks,

census tracts, and voting districts, include totals for population, race groups, persons of Hispanic origin, population

18 years and over, and housing units. (See figure 4.)

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Summary Tape Files (STF’s)— These computer tape files

provide statistics with greater subject-matter detail than

printed reports. They also present statistics for some types

of areas, such as block groups and blocks, that are not

included in the reports. (See figure 3.)

Here are some important features of STF’s:

• Each STF presents a particular set of data tables for

specific types of geographic areas.

• Each STF has three or more file types (indicated by a

letter suffix attached to the STF number) that differ in the

geographic levels reported, but contain the same data

detail.

• STF’s 1 and 2 contain 100-percent data, and STF’s 3

and 4 offer sample data.

• STF’s 1 and 3 report on smaller areas and offer less

data detail than STF’s 2 and 4.

• STF’s 1 through 4 offer greater data detail than the 1980

STF’s 1 through 4.

Subject Summary Tape Files (SSTF’s)—These files are

the source of the subject reports and provide greater

subject-matter detail than the STF’s. They present data for

the United States, regions, and divisions, and, in some

cases, also for States, counties, and large cities. (See

figure 4.)

Public Use Microdata Sample (PUMS) Files—These

computer tape files (see figure 4) contain data from

samples of long-form housing-unit records (‘‘microdata’’) for large geographic areas. Each sample housingunit record includes essentially all the 1990 census data

collected about each person in a sample household and

the characteristics of the housing unit. Information that

could be used to identify an individual or a housing unit is

not included in the file.

Microdata files enable users to prepare customized

tabulations and cross-tabulations of most items on the

census questionnaire. There are two PUMS files:

• A file presenting a 5-percent sample of housing units in

which each household record includes codes to let the

user know in what area, such as a group of counties, a

single county, or a place, the household is located. Each

area identified must have a population of at least 100,000

and boundaries that do not cross State lines.

• A file presenting a 1-percent sample of housing units. Its

household records include codes associating them with

MA’s and other large areas, the boundaries of which

may cross State lines. (For the 1980 census, there were

two files with 1-percent samples. The 1-percent sample

showing data for selected urbanized areas and other

large areas will not be produced for the 1990 census.)

Other Special Computer Tape Files—Other files include

the Census/ Equal Employment Opportunity (EEO) Special

File and the County-to-County Migration File. (See figure

4.) The Census Bureau may prepare additional special

files.

Microfiche

Block statistics are available on microfiche as they were

for the 1980 census. The microfiche present, in table

format, a subset of the tabulations for census blocks found

in STF 1B (see figure 3). In the 1990 census, for the first

time, the entire land area of the Nation and its possessions

was block-numbered. This increased the number of blocks

for which the Census Bureau provides data from 2.5 million

in 1980 to 7 million for 1990. The cost and storage of block

data of this magnitude would be prohibitive if the data were

published in printed reports.

STF’s 1A and 3A are available on microfiche, as well. As

noted in figure 3, they provide data for a variety of

geographic areas. Also, all printed reports are offered on

microfiche from Customer Services soon after they are

published.

Compact Disc—Read-Only Memory (CD-ROM)

For the 1990 census, the Public Law (P.L.) 94-171 file;

an extract of STF 1B that presents selected statistics for

blocks; and STF’s 1A, 1C, 3A, 3B, and 3C are also

available on CD-ROM. (One 4 3/ 4-inch CD-ROM, a type of

optical or laser disc, can hold the contents of approximately 1,600 flexible diskettes, or three or four highdensity computer tapes.)

Online Information Systems

The Census Bureau began CENDATATM, its online

information service, in 1984. CENDATATM is accessible

through two information vendors, CompuServe and

DIALOG. A number of Census Bureau reports, in whole

or in part, are offered online. For the 1990 census,

CENDATATM provides up-to-date information about the

availability of data products and carries selections of State,

county, MA, and place data from the P.L. 94-171 tape file

and STF’s 1 and 3.

Custom Data Products

These products are for users who require unique tabulations that are not included in standard products; for

example, information for locally defined geographic areas.

Users also can order special microdata files.

The cost of preparing custom products must be paid by

the users who request them. Any data that the Census

Bureau provides in these products are subject to the same

standards applied to other data to ensure that confidential

individual information is not revealed.

User-Defined Areas Program (UDAP) Tabulations—

UDAP can provide a set of predefined data tables for

locally defined areas that do not correspond to standard

1990 census geographic areas. Users identify the geographic areas of interest to them by delineating boundaries

around groupings of census blocks on 1990 census County

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Block Maps or by electronically submitting the geographic

components of their area of interest. (A contact for more

information is given in the ‘‘Sources of Assistance’’ section.)

Special Tabulations—The Census Bureau can prepare

special data tabulations for any specific geographic or

subject-matter area. Users should rely on standard reports,

tapes, microfiche, or user-defined area tabulations whenever possible, since special tabulations tend to be substantially more expensive and take time to arrange and produce. (Contacts for more information are given in the

‘‘Sources of Assistance’’ section.)

GEOGRAPHIC PRODUCTS

Maps

Census Bureau maps are necessary for virtually all uses

of small-area 1990 census data. They are needed to locate

the specific geographic areas for which the census provides data and to study the spatial relationship of the data

for analytic purposes. The Census Bureau prepares a

variety of 1990 census maps. Among the most useful are

these four series:

County Block Maps—These maps show census blocks

and their numbers; boundaries for statistical and governmental entities, such as census tracts and places; and

physical features. The P.L. 94-171 version of these maps

also shows voting district boundaries in those States that

furnished them. The maps are prepared on electrostatic

plotters by county (or equivalent entity) with one or more

map sheets each, depending on the size and shape of the

area and the density of the block pattern. An average

county requires 20 map sheets. The maps may be purchased from Customer Services.

County Subdivision Outline Maps—Maps in this Statebased series present the boundaries of the counties,

county subdivisions, places, American Indian and Alaska

Native areas (including off-reservation trust lands), tribal

designated statistical areas, and tribal jurisdiction statistical areas. Electrostatic-plotter copies are available for

purchase from Customer Services. Also, they appear on

multiple page-size sheets in the State reports of these

series: 1990 CPH-1, 1990 CPH-2, 1990 CPH-5, 1990 CP-1,

1990 CP-2, 1990 CH-1, and 1990 CH-2.

Census Tract/ Block Numbering Area (BNA) Outline

Maps—Maps in this county-based series depict census

tract or BNA boundaries and numbers, and the features

underlying the boundaries. They also show governmental

units in relation to the census tracts/ BNA’s. Customer

Services sells electrostatic-plotter copies, and the Superintendent of Documents sells printed copies.

Voting District Outline Maps—Maps in this county-based

series depict voting district boundaries (for those counties

for which States furnished boundary information) and the

features underlying the boundaries. They also show governmental unit boundaries in relation to the voting districts.

They are prepared on electrostatic plotters and sold by

Customer Services.

Geographic Publications

The Geographic Identification Code Scheme report in

the 1990 CPH-R series shows the 1990 census geographic area codes and Federal information processing

standards (FIPS) codes, as appropriate, for States, metropolitan areas, counties, county subdivisions, places, American Indian and Alaska Native areas, and other entities,

along with some descriptive information about the codes.

The code scheme also is offered on computer tape.

Machine-Readable Geographic Files

All 1990 census summary tape files include 1990 census geographic area codes, FIPS codes, certain area

names, land and inland water area in square kilometers,

geographic coordinates for an internal point for each

entity, and other geographic information.

The Census Bureau developed an automated geographic data base, known as the TIGER (Topologically

Integrated Geographic Encoding and Referencing) System, to produce the geographic products for the 1990

census. TIGER provides coordinate-based digital map

information for the entire United States, Puerto Rico, the

U.S. Virgin Islands, and the Pacific territories over which

the United States has jurisdiction.

The TIGER System has significantly improved the utility

of 1990 census maps and geographic reference products.

Extract files generated from the TIGER System permit

users, with appropriate software, to perform such tasks as

linking the statistical data in the P.L. 94-171 file or the

STF’s and displaying selected characteristics on maps or a

video display screen at different scales and with whatever

boundaries they select for any geographic area of the

country. For example, a map for a particular county could

show the distribution of the voting age population by city

block.

The first extract of selected geographic and cartographic information intended for computer applications,

such as plotting maps and building geographic information

systems, is called the TIGER/ LineTM files. TIGER/ LineTM

files contain attributes for the segments of each boundary

and feature (for example, roads, railroads, and rivers),

including 1990 census geographic codes for adjacent

areas, latitude/ longitude coordinates of segment end points

and the curvature of segments, the name and type of the

feature, and the relevant census feature class code identifying the feature segment by category. TIGER/ LineTM

files also furnish address ranges and associated ZIP

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Codes for each side of street segments in major urban

areas; provide the names of landmarks, such as lakes and

golf courses; and include other information.

TIGER/ LineTM files and other TIGER System extracts,

such as TIGER/ BoundaryTM and TIGER/ DataBaseTM, are

released on computer tape and, in some cases, CD-ROM.

For information on TIGER extract files, contact Customer

Services.

REFERENCE MATERIALS

The Census Bureau issues several reference publications for data users. Some are sold by the Superintendent

of Documents; others are distributed free by Customer

Services. Addresses and phone numbers for the Superintendent of Documents and Customer Services are given in

the following section.

• 1990 Census of Population and Housing, Guide. This

guide, in the 1990 CPH-R report series, provides detailed

information about all aspects of the census and a

comprehensive glossary of census terms. Sold by the

Superintendent of Documents, U.S. Government Printing Office.

• 1990 Census of Population and Housing Tabulation and

Publication Program. A free report describing 1990

census products, comparing 1990 products with those

of 1980, and more. Request from Customer Services.

• Census ’90 Basics. A free booklet covering how the

1990 census data were collected and processed, the full

range of data products, the maps and geographic files,

and more, but with less detail than the Guide (above).

Request from Customer Services.

• Census ABC’s—Applications in Business and Community. A free booklet that highlights key information about

the 1990 census and illustrates a variety of ways the

data can be used. Request from Customer Services.

• Strength in Numbers. A free, tabloid-size booklet designed

to assist people in using 1990 census data in redistricting. Among other features, it includes illustrations of

maps and Public Law 94-171 counts. Request from

Customer Services.

• TIGER: The Coast-to-Coast Digital Map Data Base. A

free booklet describing the structure and uses of the

Census Bureau’s TIGER System. Request from Customer Services.

• Census and You. The Census Bureau’s monthly newsletter for data users. It reports on the latest 1990 census

developments, selected new publications and computer

tape files, other censuses and surveys, developments in

services to users, and upcoming conferences and training courses. Subscriptions are sold by the Superintendent of Documents, U.S. Government Printing Office.

• Monthly Product Announcement. A free monthly listing

of all new Census Bureau publications; microfiche; maps;

data files on tape, diskettes, or CD-ROM; and technical

documentation. To subscribe, contact Customer Services.

• Census Catalog and Guide. A comprehensive annual

description of data products, statistical programs, and

services of the Census Bureau. It provides abstracts of

the publications, data files, microfiche, maps, and items

online. In addition, the Catalog/ Guide offers such features as information about censuses and surveys and

telephone contact lists of data specialists at the Census

Bureau, the State Data Centers, and other data processing service centers. It is sold by the Superintendent of

Documents, U.S. Government Printing Office.

Users also can get listings of new Census Bureau

products, updated daily, by subscribing to the Daily List.

This information and selected statistics are available online

through CENDATATM, the Census Bureau’s online information service. For more information, contact Customer

Services.

SOURCES OF ASSISTANCE

U.S. Bureau of the Census

The Census Bureau’s Customer Services sells most of

the machine-readable data products, microfiche, and maps

described earlier. (The 1990 census printed reports are

sold by the Superintendent of Documents, as noted below.)

Also, users may consult with specialists at the Census

Bureau’s Washington headquarters and its 12 regional

offices. From time to time, the specialists also conduct

workshops, seminars, and training courses.

Washington, DC, Contacts—To order products, for a

telephone contacts list of Census Bureau specialists, and

for general information: Customer Services, U.S. Bureau

of the Census, Washington, DC 20233, telephone 301-

763-4100 (FAX number, 301-763-4794).

For User-Defined Areas Program (UDAP) information:

UDAP Staff, Decennial Planning Division, U.S. Bureau of

the Census, Washington, DC 20233, telephone 301-763-

4282.

For special tabulation information: Population—Rosemarie Cowan, Population Division, U.S. Bureau of the

Census, Washington, DC 20233, telephone 301-763-5476;

Housing—William Downs, Housing and Household Economic Statistics, U.S. Bureau of the Census, Washington,

DC 20233, telephone 301-763-8553.

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Regional Office Contacts—

Atlanta, GA 404-347-2274

Boston, MA 617-565-7078

Charlotte, NC 704-371-6144

Chicago, IL 312-353-0980

Dallas, TX 214-767-7105

Denver, CO 303-969-7750

Detroit, MI 313-354-4654

Kansas City, KS 913-236-3711

Los Angeles, CA 818-904-6339

New York, NY 212-264-4730

Philadelphia, PA 215-597-8313

Seattle, WA 206-728-5314

Superintendent of Documents, U.S. Government

Printing Office

The Superintendent of Documents handles the sale of

most of the Federal Government’s publications, including

1990 census reports. To order reports and for information:

Superintendent of Documents, U.S. Government Printing

Office, Washington, DC 20402, telephone 202-783-3238.

Other Sources of Products and Services

State Data Centers—The Census Bureau furnishes data

products, training in data access and use, technical assistance, and consultation to all States, the District of Columbia, Guam, Puerto Rico, and the U.S. Virgin Islands. State

Data Centers, in turn, offer publications for reference,

printouts from computer tape, specially prepared reports,

maps, and other products and assistance to data users.

For a list of the State Data Centers, see the Census

Catalog and Guide or contact Customer Services. The list

also notes organizations in States participating in the

Census Bureau’s Business/ Industry Data Center (BIDC)

Program. The BIDC’s help business people, economic

development planners, and other data users obtain and

use data.

National Services Program—The National Services Program (NSP) provides data-related services for nationally

based nonprofit organizations that represent minorities or

other segments of the population who have been historically undercounted in decennial censuses. The participants include social service, business, professional, civil

rights, educational, and religious groups. Through a pilot

project, the National Services Information Center (NSIC)

Initiative, three of these nonprofit groups now offer their

clientele reports, computer tape printouts, and other information from the Census Bureau. To learn more about the

NSP and the NSIC, write to the National Services Program,

Data User Services Division, Bureau of the Census, Washington, DC 20233, or call 301-763-1384.

National Clearinghouse—The National Clearinghouse for

Census Data Services is a listing of private companies and

other organizations that offer assistance in obtaining and

using data released by the Census Bureau. For a list of

participants in the National Clearinghouse, see the Census

Catalog and Guide or contact Customer Services.

Depository Libraries—There are 1,400 libraries that receive

(from the Government Printing Office) Federal publications

that they think their patrons will need. Often some of these

publications are Census Bureau reports. The Census Bureau

provides free reports to an additional 120 census depository libraries. Also, many libraries purchase census reports

and maps for their areas. The Census Catalog and Guide

includes a list of all depository libraries.

OTHER CENSUS BUREAU RESOURCES

The Census Bureau has more to offer than just the

results of the census of population and housing. Through

other censuses, surveys, and estimates programs, it compiles and issues (in reports, computer tape, and other

media) data on subjects as diverse as appliance sales,

neighborhood conditions, and exports to other countries.

Here are examples of the information published about—

• People: Age, race, sex, income, poverty, child care,

child support, fertility, noncash benefits, education, commuting habits, pension coverage, unemployment, ancestry.

• Business and industry: Number of employees, total payroll, sales and receipts, products manufactured or sold.

• Housing and construction: Value of new construction,

numbers of owners and renters, property value or rent

paid, housing starts, fuels used, mortgage costs.

• Farms: Number, acreage, livestock, crop sales.

• Governments: Revenues and expenditures, taxes, employment, pension funds.

• Foreign trade: Exports and imports, origin and destination, units shipped.

• Other nations: Population, birth rates, death rates, literacy, fertility.

The other censuses, such as agriculture, retail trade,

manufactures, and governments, are collected for years

ending in ‘‘2’’ and ‘‘7.’’ Surveys and estimates programs

generate results as often as every month.

Many of the monthly ‘‘economic indicators’’ that measure how the Nation is doing come directly or indirectly

from the Census Bureau. Examples: employment and

unemployment; housing starts; wholesale and retail trade;

manufacturers’ shipments, inventories, and orders; export

and import trade; and sales of single-family homes.

The other statistical activities of the Census Bureau are

described below. Data users will find more information

about them and descriptions of their data products in the

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annual Census Catalog and Guide. Also, special guides

and brochures are prepared for most of them. Contact the

Census Bureau’s Customer Services for more information.

Current Demographic and Housing Programs

Two types of current programs complement the 10-year

census: population estimates and surveys. The total population of the United States is estimated monthly; the

population of States, counties, and metropolitan areas is

estimated annually; and the population of places and other

governmental units is estimated every 2 years. Projections

of future population are made at the national and State

levels.

The Census Bureau’s many household surveys update

population and housing characteristics at the national level

and sometimes for States and metropolitan areas, as well.

These surveys also obtain many characteristics not included

in the 10-year census. The Current Population Survey is

taken monthly; the American Housing Survey national

sample is taken biennially; the American Housing Survey

metropolitan sample is taken in 44 areas, 11 per year in a

4-year cycle; most other surveys are annual or less frequent.

Economic Censuses and Surveys

The economic censuses provide statistics about business establishments once every 5 years, covering years

ending in ‘‘2’’ and ‘‘7.’’ The 1987 Economic Censuses

include the censuses of retail trade, wholesale trade,

service industries, transportation, manufactures, mineral

industries, and construction industries. Also included are

related programs, such as statistics on minority- and

women-owned businesses, enterprise statistics, and censuses of economic activity in Puerto Rico and some of the

outlying areas under U.S. jurisdiction.

Several key statistics are tabulated for all industries

covered in the censuses. They are number of establishments, number of employees, payroll, and measure of

output (sales or receipts, and value of shipments or of work

done). Other items vary from sector to sector.

The Census Bureau also has programs that provide

current statistics on such measures as total sales of

particular kinds of businesses or production of particular

products. These programs include monthly, quarterly, and

annual surveys, the results of which appear in publication

series such as Current Business Reports and Current

Industrial Reports. The County Business Patterns program

offers annual statistics based on data compiled primarily

from administrative records.

Agriculture Census and Surveys

The agriculture census is conducted concurrently with

the economic censuses. It is the only source of uniform

agriculture data at the county level. It provides data on

such subjects as the number and size of farms; land use

and ownership; livestock, poultry, and crops; and value of

products sold.

Results of three surveys—the 1988 Farm and Ranch

Irrigation Survey, 1988 Census of Horticulture Specialties,

and 1988 Agricultural Economics and Land Ownership

Survey—are published in conjunction with the 1987 Census of Agriculture. Also, the Census Bureau regularly

issues reports from a survey on cotton ginnings.

Governments Census and Surveys

The census of governments, also for years ending in

‘‘2’’ and ‘‘7,’’ covers all types of governments: Federal,

State, county, municipal (place), township (county subdivision), school district, and special district. It provides data

on such subjects as number of public employees, payrolls,

revenue, and expenditures.

Annual and quarterly surveys cover the same principal

subjects but generate data only for States and the largest

local governments.

Foreign Trade Statistics

Monthly U.S. merchandise trade data compiled by the

Census Bureau summarize export and import transactions

and are based on the official documents filed by shippers

and receivers. These figures reflect the flow of merchandise but not intangibles like services and financial commitments. The trade figures trace commodity movements out

of and into the U.S. Customs jurisdiction, which includes

Puerto Rico and the U.S. Virgin Islands as well as the 50

States and the District of Columbia. Data are published

separately on trade between the United States and Puerto

Rico, the U.S. Virgin Islands, and other U.S. possessions.

Other Statistical Activities

The Census Bureau also offers international data. It

maintains an international data base which is available to

the public on computer tape and is used to produce the

biennial World Population Profile report. It prepares studies

dealing with the demographic and economic characteristics of other countries and world regions.

Statistical compendia are another important data product. These publications (sometimes also offered in machinereadable form) draw data from many sources and reorganize them for convenient use. The most widely used

compendia are the annual Statistical Abstract of the United

States, the County and City Data Book (published every 5

years), and the State and Metropolitan Area Data Book

(published approximately every 4 years).

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Figure 1. 1990 Census Content

100-PERCENT COMPONENT

Population Housing

Household relationship Number of units in structure

Sex Number of rooms in unit

Race Tenure—owned or rented

Age Value of home or monthly rent

Marital status Congregate housing (meals included in rent)

Hispanic origin Vacancy characteristics

SAMPLE COMPONENT

Population Housing

Social characteristics: Year moved into residence

Education—enrollment and attainment Number of bedrooms

Place of birth, citizenship, and year of entry into U.S. Plumbing and kitchen facilities

Ancestry Telephone in unit

Language spoken at home Vehicles available

Migration (residence in 1985) Heating fuel

Disability Source of water and method of sewage disposal

Fertility Year structure built

Veteran status Condominium status

Farm residence

Economic characteristics: Shelter costs, including utilities

Labor force

Occupation, industry, and class of worker

Place of work and journey to work

Work experience in 1989

Income in 1989

Year last worked

NOTE: Questions dealing with the subjects covered in the 100-percent component were asked of all persons and housing units. Those covered by

the sample component were asked of a sample of the population and housing units.

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Figure 2. 1990 Census Printed Reports

Series Title

Report(s)

issued for Description Geographic areas

1990 CENSUS OF POPULATION AND HOUSING (1990 CPH)

100-Percent Data

1990

CPH-1

Summary Population and Housing

Characteristics

U.S., States, DC,

Puerto Rico, and

U.S. Virgin

Islands

Population and housing

unit counts, and summary

statistics on age, sex,

race, Hispanic origin,

household relationship,

units in structure, value

and rent, number of

rooms, tenure, and

vacancy characteristics

Local governmental units (i.e.,

counties, places, and towns and

townships), other county subdivisions, and American Indian and

Alaska Native areas

1990

CPH-2

Population and

Housing Unit

Counts

U.S., States, DC,

Puerto Rico, and

U.S. Virgin

Islands

Total population and

housing unit counts for

1990 and previous censuses

States, counties, county subdivisions, places, State component

parts of metropolitan areas (MA’s)

and urbanized areas (UA’s), and

summary geographic areas (for

example, urban and rural)

100-Percent and Sample Data

1990

CPH-3

Population and

Housing Characteristics for Census Tracts and

Block Numbering

Areas

MA’s, and the

nonmetropolitan

balance of each

State, Puerto

Rico, and U.S.

Virgin Islands

Statistics on 100-percent

and sample population

and housing subjects

In MA’s: census tracts/ block numbering areas (BNA’s), places of

10,000 or more inhabitants, and

counties. In the remainder of each

State: census tracts/ BNA’s, places

of 10,000 or more, and counties

1990

CPH-4

Population and

Housing Characteristics for Congressional Districts

of the 103rd Congress

States and DC Statistics on 100-percent

and sample population

and housing subjects

Congressional districts (CD’s) and,

within CD’s, counties, places of

10,000 or more inhabitants, county

subdivisions of 10,000 or more

inhabitants in selected States, and

American Indian and Alaska Native

areas

Sample Data

1990

CPH-5

Summary Social,

Economic, and

Housing Characteristics

U.S., States, DC,

Puerto Rico, and

U.S. Virgin

Islands

Statistics generally on

sample population and

housing subjects

Local governmental units (i.e.,

counties, places, and towns and

townships), other county subdivisions, and American Indian and

Alaska Native areas

1990 CENSUS OF POPULATION (1990 CP)

100-Percent Data

1990

CP-1

General Population

Characteristics

U.S., States, DC,

Puerto Rico, and

U.S. Virgin

Islands

Detailed statistics on age,

sex, race, Hispanic origin,

marital status, and household relationship characteristics

States, counties, places of 1,000

or more inhabitants, county subdivisions of 1,000 or more inhabitants in selected States, State parts

of American Indian areas, Alaska

Native areas, and summary geographic areas such as urban and

rural

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Figure 2. 1990 Census Printed Reports—Con.

Series Title

Report(s)

issued for Description Geographic areas

1990 CENSUS OF POPULATION (1990 CP)—Con.

100-Percent Data—Con.

1990

CP-1-1A

General Population

Characteristics for

American Indian

and Alaska Native

Areas

U.S. Detailed statistics on age,

sex, race, Hispanic origin,

marital status, and household relationship characteristics

American Indian and Alaska Native

areas; i.e., American Indian reservations, off-reservation trust lands,

tribal jurisdiction statistical areas

(Oklahoma), tribal designated statistical areas, Alaska Native village

statistical areas, and Alaska Native

Regional Corporations

1990

CP-1-1B

General Population

Characteristics for

Metropolitan Areas

U.S. Detailed statistics on age,

sex, race, Hispanic origin,

marital status, and household relationship characteristics

Individual MA’s. For MA’s split by

State boundaries, summaries are

provided both for the parts and for

the whole MA

1990

CP-1-1C

General Population

Characteristics for

Urbanized Areas

U.S. Detailed statistics on age,

sex, race, Hispanic origin,

marital status, and household relationship characteristics

Individual UA’s. For UA‘s split by

State boundaries, summaries are

provided both for the parts and for

the whole UA

Sample Data

1990

CP-2

Social and Economic CharacteristicsU.S., States, DC,

Puerto Rico, and

U.S. Virgin

Islands

Statistics generally on

sample population subjects

States (including summaries such

as urban and rural), counties,

places of 2,500 or more inhabitants, county subdivisions of 2,500

or more inhabitants in selected

States, Alaska Native areas, and

the State portion of American

Indian areas

1990

CP-2-1A

Social and Economic Characteristics for American

Indian and Alaska

Native Areas

U.S. Statistics generally on

sample population subjects

American Indian and Alaska Native

areas, as for CP-1-1A

1990

CP-2-1B

Social and Economic Characteristics for Metropolitan AreasU.S. Statistics generally on

sample population subjects

Individual MA’s, as for

CP-1-1B

1990

CP-2-1C

Social and Economic Characteristics for Urbanized

Areas

U.S. Statistics generally on

sample population subjects

Individual UA’s, as for

CP-1-1C

1990

CP-3

Population Subject

Reports

Selected subjects Approximately 30 reports

on population census subjects such as migration,

education, income, the

older population, and

racial and ethnic groups

Generally limited to the U.S.,

regions, and divisions; for some

reports, other highly populated

areas such as States, MA’s, counties, and large places

DATA PRODUCTS AND USER ASSISTANCE F–9
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Figure 2. 1990 Census Printed Reports—Con.

Series Title

Report(s)

issued for Description Geographic areas

1990 CENSUS OF HOUSING (1990 CH)

100-Percent Data

1990

CH-1

General Housing

Characteristics

U.S., States, DC,

Puerto Rico, and

U.S. Virgin

Islands

Detailed statistics on units

in structure, value and

rent, number of rooms,

tenure, and vacancy characteristics

States, counties, places of 1,000

or more inhabitants, county subdivisions of 1,000 or more inhabitants in selected States, State parts

of American Indian areas, Alaska

Native areas, and summary geographic areas such as urban and

rural

1990

CH-1-1A

General Housing

Characteristics for

American Indian

and Alaska Native

Areas

U.S. Detailed statistics on units

in structure, value and

rent, number of rooms,

tenure, and vacancy characteristics

American Indian and Alaska Native

areas; i.e., American Indian reservations, trust lands, tribal jurisdiction statistical areas (Oklahoma),

tribal designated statistical areas,

Alaska Native village statistical

areas, and Alaska Native Regional

Corporations

1990

CH-1-1B

General Housing

Characteristics for

Metropolitan Areas

U.S. Detailed statistics on units

in structure, value and

rent, number of rooms,

tenure, and vacancy characteristics

Individual MA’s. For MA’s split by

State boundaries, summaries are

provided both for the parts and for

the whole MA

1990

CH-1-1C

General Housing

Characteristics for

Urbanized Areas

U.S. Detailed statistics on units

in structure, value and

rent, number of rooms,

tenure, and vacancy characteristics

Individual UA’s. For UA’s split by

State boundaries, summaries are

provided both for the parts and for

the whole UA

Sample Data

1990

CH-2

Detailed Housing

Characteristics

U.S., States, DC,

Puerto Rico, and

U.S. Virgin

Islands

Statistics generally on

sample housing subjects

States (including summaries such

as urban and rural), counties,

places of 2,500 or more inhabitants, county subdivisions of 2,500

or more inhabitants in selected

States, Alaska Native areas, and

State parts of American Indian

areas

1990

CH-2-1A

Detailed Housing

Characteristics for

American Indian

and Alaska Native

Areas

U.S. Statistics generally on

sample housing subjects

American Indian and Alaska Native

areas, as in 1990

CH-1-1A

1990

CH-2-1B

Detailed Housing

Characteristics for

Metropolitan Areas

U.S. Statistics generally on

sample housing subjects

Individual MA’s, as in 1990

CH-1-1B

1990

CH-2-1C

Detailed Housing

Characteristics for

Urbanized Areas

U.S. Statistics generally on

sample housing subjects

Individual UA’s, as in 1990

CH-1-1C

1990

CH-3

Housing Subject

Reports

Selected subjects Approximately 10 reports

on housing census subjects such as structural

characteristics and space

utilization

Generally limited to U.S., regions,

and divisions; for some reports,

other highly populated areas such

as States, MA’s, counties, and

large places

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Figure 3. 1990 Census Summary Tape Files

Summary Tape File

(STF 1A, 1B, etc.)

and data type

(100 percent or

sample)1 Geographic areas Description

A2 3 States, counties, county subdivisions, places, census

tracts/ block numbering areas (BNA’s), block groups

(BG’s). Also Alaska Native areas and State parts of American Indian areas

Over 900 cells/ items of 100-

percent population and housing

counts and characteristics for each

geographic area

B2 3 States, counties, county subdivisions, places, census

tracts/ BNA’s, BG’s, blocks. Also Alaska Native areas and

State parts of American Indian areas

STF 1 C3

(100 percent)

U.S., regions, divisions, States (including summaries such

as urban and rural), counties, places of 10,000 or more

inhabitants, county subdivisions of 10,000 or more inhabitants in selected States, metropolitan areas (MA’s), urbanized areas (UA’s), American Indian and Alaska Native

areas

D Congressional districts (CD’s) of the 103rd Congress by

State; and within each CD: counties, places of 10,000 or

more inhabitants, county subdivisions of 10,000 or more

inhabitants in selected States, Alaska Native areas, and

American Indian areas

A In MA’s: counties, places of 10,000 or more inhabitants,

and census tracts/ BNA’s. In the remainder of each State:

counties, places of 10,000 or more inhabitants, and census tracts/ BNA’s

Over 2,100 cells/ items of 100-

percent population and housing

counts and characteristics for each

geographic area. Each of the STF

2 files will include a set of tabulations for the total population and

separate presentations of tabulations by race and Hispanic origin

STF 2 B

(100 percent)

States (including summaries such as urban and rural),

counties, places of 1,000 or more inhabitants, county subdivisions, State parts of American Indian areas, and Alaska

Native areas

C U.S., regions, divisions, States (including summaries such

as urban and rural), counties, places of 10,000 or more

inhabitants, county subdivisions of 10,000 or more inhabitants in selected States, all county subdivisions in New

England MA’s, American Indian and Alaska Native areas,

MA’s, UA’s

A2 3 States, counties, county subdivisions, places, census

tracts/ BNA’s, BG’s. Also Alaska Native areas and State

parts of American Indian areas

Over 3,300 cells/ items of sample

population and housing characteristics for each geographic area

B3 Five-digit ZIP Codes within each State

STF 3 C3

(Sample)

U.S., regions, divisions, States, counties, places of 10,000

or more inhabitants, county subdivisions of 10,000 or more

inhabitants in selected States, American Indian and Alaska

Native areas, MA’s, UA’s

D CD’s of the 103rd Congress by State; and within each CD:

counties, places of 10,000 or more inhabitants, county

subdivisions of 10,000 or more inhabitants in selected

States

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Figure 3. 1990 Census Summary Tape Files—Con.

Summary Tape File

(STF 1A, 1B, etc.)

and data type

(100 percent or

sample)1 Geographic areas Description

A In MA’s: counties, places of 10,000 or more inhabitants,

and census tracts/ BNA’s. In the remainder of each State:

counties, places of 10,000 or more inhabitants, and census tracts/ BNA’s

Over 8,500 cells/ items of sample

population and housing characteristics for each geographic area.

Each of the STF 4 files will include

a set of tabulations for the total

population and separate presentations of tabulations by race and

Hispanic origin.

STF 4 B

(Sample)

State (including summaries such as urban and rural), counties, places of 2,500 or more inhabitants, county subdivisions of 2,500 or more inhabitants in selected States, all

county subdivisions in New England MA’s, State parts of

American Indian areas, and Alaska Native areas

C U.S., regions, divisions, States (including urban and rural

and metropolitan and nonmetropolitan components), counties, places of 10,000 or more inhabitants, county subdivisions of 10,000 or more inhabitants in selected States, all

county subdivisions in New England MA’s, American Indian

and Alaska Native areas, MA’s, UA’s

1

Similar STF’s will be prepared for Puerto Rico and the U.S. Virgin Islands.

2

Also available on microfiche. STF 1B microfiche provides only part of the data for blocks and other areas in the tape file.

3

Also available on laser disc (CD-ROM). STF 1B CD-ROM presents the same file extract as STF 1B microfiche.

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Figure 4. Other 1990 Census Data Products

Title Description Geographic areas

Subject Summary

Tape Files

About 20 computer tape files used to produce

the subject reports (1990 CP-3 and 1990 CH-3

series). On the average, a file is the source of

two subject reports

U.S., regions, divisions, States, metropolitan

areas ( MA’s), and large counties and

places

Public Law 94-171

Data File (redistricting

data)

Counts by total, race, and Hispanic origin for

the total population and population 18 years

old and over, and counts of housing units.

Available on tape, CD-ROM, and paper listings

States, counties, county subdivisions,

places, census tracts/ block numbering

areas (BNA’s), block groups (BG’s), and

blocks; voting districts where States have

identified them for the Census Bureau; and

American Indian and Alaska Native areas

Census/ Equal Employment Opportunity

(EEO) Special File

Sample tabulations showing detailed occupations and educational attainment data by age;

cross tabulated by sex, Hispanic origin, and

race

Counties, MA’s, places of 50,000 or more

inhabitants

County-to-County

Migration File

Summary statistics for all intra-state county-tocounty migration streams and significant interstate county-to-county migration streams. Each

record will include codes for the geographic

area of destination, and selected characteristics of the persons who made up the migration

stream

States, counties

Public Use Microdata

Sample (PUMS) Files

Machine-readable files containing a sample of

individual long-form census records showing

most population and housing characteristics

but with identifying information removed

5 Percent—PUMS

Areas

County groups, counties, county subdivisions, and places with 100,000 or more

inhabitants

1 Percent—Metropolitan Areas (1990)MA’s and other large areas with 100,000 or

more inhabitants

User-Defined Areas

Tabulations

A set of standard tabulations provided on printouts, tapes, or other products with maps and

narrative (if requested)

User-defined areas created by aggregating

census blocks

Special Tabulations User-defined tabulations for specified geographic areas provided on printouts, tapes, or

other products

User-defined areas or standard areas

DATA PRODUCTS AND USER ASSISTANCE F–13
Maps are not available.

U.S. Census Bureau