1990 SUMMARY TAPE FILE 3

TECHNICAL DOCUMENTATION ON CD-ROM

 CONTENTS

Abstract........................................................ 1-1

How to Use This File............................................ 2-1

Subject Locator................................................. 3-1

List of Tables (Matrices)....................................... 4-1

Table (Matrix) Outlines......................................... 5-1

Summary Level Sequence Chart.................................... 6-1

User Notes...................................................... 7-1

Data Dictionary................................................. 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

H. Code List....................................................H-1

I. CD-ROM Technical Information.................................I-1
ABSTRACT

CONTENTS

Citation 1--1

File Availability 1--3

Geographic Coverage 1--1

Related Products 1--2

Related Reference Materials 1--3

Software 1--3

Subject Matter Description 1--1

Technical Description 1--3

Type of File 1--1

Universe Description 1--1

CITATION

Census of Population and Housing, 1990: Summary Tape File 3 on CD-ROM

[machine-readable data files] / prepared by the Bureau of the Census.

-Washington: The Bureau [producer and distributor], 1992.

TYPE OF FILE

Summary statistics.

UNIVERSE DESCRIPTION

 All persons and housing units in the United States.

SUBJECT MATTER DESCRIPTION

Summary Tape File 3 (STF 3) contains sample data weighted to represent the

total population. In addition, the file contains 100-percent counts and

unweighted sample counts for total persons and total housing units. Other

population and housing items are listed below. Please see the List of

Tables chapter for a complete listing.

Population items include:

Age 

Ancestry 

Citizenship 

Class of worker 

Educational attainment 

Employment status 

Family type 

Farm and nonfarm population 

Foreign-born status 

Group quarters 

Hispanic origin 

Household type and relationship

Income in 1989

Industry

Language spoken at home

Marital status

Means of transportation to work
Mobility limitation status

Occupation

Place of birth

Place of work

Poverty status in 1989 

Private vehicle occupancy 

Race 

Residence in 1985 

School enrollment 

Self-care limitation status 

Sex

Travel time to work

Urban and rural population

Veteran/military status

Work disability status

Work status in 1989

Workers in family in 1989

Housing items include:

Age of householder 

Bedrooms 

Condominium status 

Farm and nonfarm housing 

Heating fuel 

Hispanic origin of householder 

Housing units 

Kitchen facilities 

Meals included in rent 

Mortgage status 

Occupancy status 

Plumbing facilities 

Race of householder 

Rent 

Rooms

Selected monthly owner costs

Sewage disposal

Telephone availability

Tenure

Units in structure

Urban and rural housing

Utilities in rent

Value of housing unit

Vehicles available

Water source

Year householder moved into unit

Year structure built

Selected aggregates and medians also are provided. Data are presented in

193 population tables (matrices) and 99 housing tables (matrices).

GEOGRAPHIC COVERAGE

Summary Tape File 3 is released as file 3A, file 3B, file 3C, and file 3D.

The record layout is identical for all four files but the geographic

coverage differs.
This abstract lists only the most frequently accessed geographic levels.

The Summary Level Sequence Charts chapter outlines the hierarchical and

inventory summaries in their entirety.

STF 3A provides data for States and their subareas in hierarchical sequence

down to the block group level. This hierarchy is shown below:

State

 County

 County subdivision

 Place (or place part)

 Census tract/block numbering area (BNA) (or part)

 Block group (or part)

 State portion of American Indian and Alaska Native area (with trust lands 

 and with no trust lands)

 County portion of American Indian and Alaska Native area

 Alaska Native Regional Corporation

 State portion of Metropolitan Statistical Area (MSA)/Consolidated 

 Metropolitan Statistical Area (CMSA)/Primary Metropolitan Statistical 

 Area (PMSA)

 State portion of urbanized areas (UA)

File 3A also has inventory (complete) summaries for the following

geographic areas:

 Census tract/block numbering area (BNA)

 Block group

 Place

 Consolidated city

 

STF 3B provides ZIP Code data for the 5-digit ZIP Codes within each State

including county portions of the ZIP Codes. The hierarchy for the file is

shown below:

ZIP Code

 State

 County

STF 3C provides summaries for the entire United States. The file

structure is as follows:

United States

Region

Division

State

 County

 County subdivision with 10,000 or more persons (12 States)

 County subdivision with fewer than 10,000 persons and in an MSA/CMSA (6 

 States)

 Place with 10,000 or more persons

 Consolidated city

American Indian/Alaska Native areas (with trust lands and with no trust 

 lands)

Alaska Native Regional Corporation

Metropolitan Statistical Area (MSA)/Consolidated Metropolitan Statistical 

 Area (CMSA)/Primary Metropolitan Statistical Area (PMSA)

Urbanized area (UA)
STF 3D is not available on CD-ROM.

RELATED PRODUCTS

Listed below are the 1990 census printed reports containing sample data

from STF 3 and STF 4. These reports will be available from Superintendent

of Documents, U.S. Government Printing Office, Washington, DC 20402. An

order form follows this abstract.

1990 CPH-3, Population and Housing Characteristics for Census Tracts and

Block Numbering Areas. One report will be published for each metropolitan

area (MA) and one for the non-metropolitan balance of each State, Puerto

Rico and the U. S. Virgin Islands showing data for most of the population

and housing subjects included in the 1990 census. Some tables will be

based on the 100-percent tabulations, others on the sample tabulations. 

Scheduled for release in 1992-93. 

1990 CPH-4, Population and Housing Characteristics for Congressional

Districts of the 103rd Congress. A report for each State and the District

of Columbia which provides both 100-percent and sample data for States,

congressional districts and, within congressional districts, counties,

places of 10,000 or more inhabitants, county subdivisions of 10,000 or more

inhabitants in 12 States, and American Indian and Alaska Native areas. 

Scheduled for release in 1993. 

1990 CPH-5, Summary Social, Economic, and Housing Characteristics. These

reports, issued for the United States, States, District of Columbia, Puerto

Rico, and the U. S. Virgin Islands, provide sample population and housing

data for States and local governmental units (i. e., counties, places,

towns, and townships), other county subdivisions, and American Indian and

Alaska Native areas. Scheduled for release in 1992-93. 

1990 CP-2, Social and Economic Characteristics. These reports are issued

for the United States, States, District of Columbia, Puerto Rico, and the

U. S. Virgin Islands. They focus on the population subjects collected on a

sample basis in 1990. Data are shown for 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 each State portion of American Indian areas. Scheduled for

release in 1993. 

1990 CP-2-1A, Social and Economic Characteristics for American Indian and

Alaska Native Areas. Data are shown for American Indian and Alaska Native

areas. Scheduled for release in 1993. 

1990 CP-2-1B, Social and Economic Characteristics for Metropolitan Areas. 

Data are shown for MA's. Scheduled for release in 1993. 

1990 CP-2-1C, Social and Economic Characteristics for Urbanized Areas. 

Data are shown for urbanized areas (UA's). Scheduled for release in 1993. 

1990 CP-3, Population Subject Reports. Thirty reports are planned

covering population subjects and subgroups. These include migration,

income, and the older population. Geographic areas generally will include

the United States, regions, and divisions; some reports may include data
for highly populated areas, such as States, MA's, counties and large

places. Scheduled for release in 1993. 

1990 CH-2, Detailed Housing Characteristics. These reports, issued for

the United States, States, District of Columbia, Puerto Rico, and the U. S. 

Virgin Islands, focus on the housing subjects collected on a sample basis 

in 1990. Data are shown for 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. Scheduled for release in 1993. 

1990 CH-2-1A, Detailed Housing Characteristics for American Indian and

Alaska Native Areas. Data are shown for American Indian and Alaska Native

areas. Scheduled for release in 1993. 

1990 CH-2-1B, Detailed Housing Characteristics for Metropolitan Areas. 

Data are shown for MA's. Scheduled for release in 1993. 

1990 CH-2-1C, Detailed Housing Characteristics for Urbanized Areas. Data

are shown for UA's. Scheduled for release in 1993. 

1990 CH-3, Housing Subject Reports. Ten housing subject reports are

planned covering 1990 census items such as structural characteristics and

space utilization. Geographic areas generally include the United States,

regions, and divisions; some reports may include data for other highly

populated geographic areas such as States, MA's, counties, and large

places. Scheduled for release in 1993. 

STF 3 data also are available on tape as files 3A, 3B, 3C, and 3D. STF

3A will be available on microfiche. 

RELATED REFERENCE MATERIALS

1990 Census of Population and Housing Tabulation and Publication Program. 

This booklet provides descriptions of the data products available from the

1990 census. Available without charge from Customer Services, Data User 

Services Division, Bureau of the Census, Washington, DC 20233. Phone: 

301-763-4100. FAX: 301-763-4794. 

Census '90 Basics. This booklet provides a general overview of the

census activity and detailed information on census content, geographic

areas, and products. Available without charge from Customer Services (see

above). 

Census ABC's. Applications in Business and Community. This booklet

highlights key information about the 1990 census and illustrates a variety

of ways the data can be used. Available without charge from Customer

Services (see above). 

A comprehensive 1990 Census of Population and Housing Guide will be

available in early 1992. It will provide detailed information about all

aspects of the census. 

 
SOFTWARE

Data retrieval software is on the CD-ROM. It can be accessed by typing GO.

TECHNICAL DESCRIPTION

The data files on the CD-ROM are in dBASE III + TM format. The files for

each State are labelled. STF 3A files are labelled STF300ss.DBF through

STF334ss.DBF where ss is the two-character State abbreviation. Some State

files will occupy more than one CD-ROM. For further information, refer to

the README file on the CD-ROM. (Information on STF 3B and STF 3C files

will be available later.)

FILE AVAILABILITY

CD-ROM's are released for States or groups of States as the files become

available. The STF 3A CD-ROM will be issued in mid 1992. The STF 3B and

STF 3C CD-ROM products will be released later in 1992. Cost of each CD-ROM

is $150.
HOW TO USE THIS FILE

CONTENTS

Appendixes 2--1

Count Corrections 2--2

Data Dictionary 2--1

Documentation Chapters 2--1

Special Area Codes 2--3

Standard Codes 2--3

Summary-Level Sequence Charts and

 Geographic Area Component Codes 2--3

User Notes 2--1

Using the File 2--2

This chapter serves as a guide for data users to both the tape and the

technical documentation. Novice users trying to understand how to use the

documentation and the file should read this chapter first.

DOCUMENTATION CHAPTERS

The Abstract chapter in this documentation provides a quick overview of the

file, including the formal title, geographic coverage, subject coverage,

and file availability. Also shown are citations for related reference

materials and printed reports. Their titles and geography are included in

this section, along with purchasing information.

The Subject Locator is an aid to finding which tables provide the

information needed. The List of Tables (Matrices) and the Table (Matrix)

Outlines provide two types of presentations for the tables available in the

file. The List of Tables (Matrices) has the table titles and universes.

The Table (Matrix) Outlines offer a detailed presentation of the tables.

When reviewing the tables, remember that a colon (:) following an entry

indicates the entry is a heading, not a data cell.

USER NOTES

Information about file or documentation changes sometimes becomes available

after the documentation has been printed. User notes inform the user

community about these changes. These are issued in a numbered series. If

there are technical documentation changes, revised pages usually accompany

them. The revised pages should be inserted in their proper location, but

the user note cover sheet should be filed in the User Notes chapter.

Technical notes, which contain file errata, are also issued by the Census

Bureau. We suggest filing these following appendix I.

DATA DICTIONARY

The data dictionary describes the file and provides character locations for

each variable and each table. It has two elements, the identification

section and the table (matrix) section.

In the identification section, the components include the field name; the

data dictionary reference name, a short mnemonic for use with software
packages; field size; starting position; and data type (alphabetic, numeric, or alphanumeric).

The identification section of the data dictionary is identical for all

summary tape files. It provides a list of the geographic codes or refers

the user to the appropriate source. Review the footnotes carefully; they

provide explanations for various terms. These footnotes are listed at the

end of the identification section of the data dictionary.

The table (matrix) section provides information on the table (matrix)

number; table (matrix) description; number of implied decimals in each cell

(if not 0); starting position within the record, within the segment, and

for all cells within the first-level variable; and cell coordinates.

APPENDIXES

Detailed information on geographic areas is in appendix A followed by

subject-matter definitions in appendix B. Appendix C provides detailed

statistical information about the data while appendix D outlines the data

collection and processing procedures. Facsimiles of both the respondent

instructions and 1990 census long-form questionnaire are in appendix E.

Appendix F furnishes detailed information on all the data products of the

1990 census, as well as suggested sources of information and assistance.

Map information is included in appendix G.

Appendix H contains the code lists used in processing the data. These are

especially helpful in determining the components included in categories

such as race or group quarters. These codes are used in conjunction with

the table (matrix) outlines and data dictionary chapters. In the file

presentation included in those chapters, some cell entries are followed by

numeric codes in parentheses. These are the codes included in that cell.

For example, in a table including race, the entry for Asian or Pacific

Islander is followed by (600-699, 976-985). The code list for race in

appendix H identifies all the race codes included in the Asian or Pacific

Islander category.

Appendix I provides CD-ROM specific information.

COUNT CORRECTIONS

The Census Bureau issues population count corrections on an occasional

basis. Count corrections for geography at the place level and above are

available from Customer Services, Data User Services Division, Bureau of

the Census, Washington, DC 20233. Count corrections for geography at the

census tract/BNA level or below are available from Population Division,

Bureau of the Census, Washington, DC 20233. When requesting these

corrections, please include the desired census tract/BNA, block group, or

block numbers.

USING THE FILE

File Segments

The file is segmented into 35 dBase III (.DBF) files, designated

STF300ss.DBF through STF334ss.DBF where ss is the two-character State

abbreviation. The STF300 segment contains the full 67 field identifiction
section. The identification field names are shown in the Data Dictionary

chapter of the technical documentation. Segments STF301 through STF334

each contain eight identification fields repeated from the STF300 segment.

They are shown below.

Identification Fields Common To All Segments

SUMLEV Summary Level

STATEFP State (FIPS)

CNTY County (FIPS)

COUSUBFP County Subdivision (FIPS)

PLACEFP Place (FIPS)

TRACTBNA Census Tract/Block Numbering Area

BLCKGR Block Group

LOGRECNU Logical Record Number

The segments are divided as shown below.

Data Tables In Each Segment

STF300 Field Identification Section

STF301 P1 - P13

STF302 P14A - P14C

STF303 P14D - P14F

STF304 P14G - P14I

STF305 P14J - P17

STF306 P18 - P26

STF307 P27 - P32

STF308 P33 - P36

STF309 P37 - P51

STF310 P52 - P60

STF311 P61 - P65

STF312 P66 - P70

STF313 P71 - P76

STF314 P77 - P83

STF315 P84 - P86

STF316 P87A

STF317 P87B

STF318 P87C

STF319 P87D

STF320 P87E

STF321 P88 - P107A

STF322 P108 - P118

STF323 P119 - P121

STF324 P122 - P123

STF325 P124A - P124B

STF326 P125 - P143

STF327 P144 - P170, H1 - H9

STF328 H10 - H21

STF329 H22 - H33

STF330 H34 - H44

STF331 H45 - H52A

STF332 H53 - H59

STF333 H60 - H81

STF334 H82 - H92
Field Names In Numeric Data Tables

Fields in numeric data tables are named according to a convention which

identifies the tables and the sequence of the data item within the table.

The 63 data items in P88, for example, are identified as P0880001 through

P0880063. The one data item in table P107A is identified as P107A001.

Components Of The Field Name

Character 1 P or H

Character 2-4 Table number; right justified with leading zeroes

Character 5 Sub-table letter; zero if not applicable

Character 6-8 Item number; right justified with leading zeroes

Record Identification

Each record on a summary tape file is uniquely identified by a combination

of geographic (for example, State, county, and county subdivision), summary

level, and geographic component codes. For example, if you have a Maryland

STF 3A file and want to look at the summary record for Prince George's

County, three identification fields must be checked: the summary level

code for county records (050), the total record for geographic components

(00), and the county code for Prince George's County (033). If all three

fields are not checked, multiple records will be found. See the Summary

Level Sequence Charts and Geographic Area Component Codes section below for

information on identifying summary level and geographic component codes.

SUMMARY LEVEL SEQUENCE CHARTS AND GEOGRAPHIC AREA COMPONENT CODES

The Summary Level Sequence Charts chapter and the geographic area component

codes provide important information for using the 1990 census summary tape

files.

The Summary Level Sequence Charts chapter for STF 3 files identifies the

geographic levels for which data are provided. It is easy to determine

this if you remember that the last geographic area type listed in the sequence identifies the geography of the summary level; the prior codes

simply define the hierarchy. For example, in summary level 140, the

hierarchy listed is State-county-census tract/block numbering area (BNA). The record 

actually contains data for a census tract/BNA within a given county and State.

When reading the Summary Level Sequence Charts chapter, it is important to

recognize that dashes (--) separate the individual hierarchies while

slashes (/) separate different types of geography within the same 

hierarchy.

After identifying the summary level code, turn to chart 1 at the end of

this chapter to determine the geographic area codes and area

characteristics provided on CD-ROM for this summary level. Remember that

an asterisk (*) indicates a code in that field. The code may be one of the

standard codes described below.

The Summary Level Sequence Charts chapter also provides geographic

component code information. This code identifies the various geographic

components for which the record is repeated within the summary level.

These component codes are provided in the data dictionary beginning in
position 14. For example, the Summary Level Sequence Chart for STF 3A

indicates that the summary level for State records (040) has geographic

component codes 00, 40, 42, 43, and 44. By turning to the geographic

component variable in the data dictionary, you can determine that the

tables for summary level 040 (State) are available for total geography

(State) (geographic component=00), American Indian reservation and trust

land (geographic component=40), tribal jurisdiction statistical area

(geographic component=42), tribal designated statistical area (geographic

component=43), and Alaska Native village statistical area (Alaska only)

(geographic component=44).

In short, always check the geographic codes, the summary level (beginning

in position 11 of the data dictionary), and the geographic component code

(beginning in position 14 of the data dictionary) for complete

identification of an STF 3 record.

SPECIAL AREA CODES

Special area codes appear in the geographic area codes portion of the data

dictionary (positions 142-171) on all STF's. The codes represented may 

vary across STF's. In STF 3 CD-ROM files special area code (1), and 

special area code (9) are used. The codes are described below. Special 

area code (9) is used in all summary levels except 800, 810, and 820.

In STF 3B files only, special area code 1 is used. It contains the 5-digit 

ZIP Code.

 

Special area code (9) Land/water area

 1 Significant land, significant (0.0005 or more square kilometers) 

 water

 2 Significant land, minimal (less than 0.0005 square kilometer) water

 3 Significant land, zero (0) water

 4 Minimal land, significant water

 5 Minimal land, minimal water

 6 Minimal land, zero water

 7 Zero land, significant water

 8 Zero land, minimal water

 9 Zero land, zero water

STANDARD CODES

In the identification section of all STF's, there are standard codes,

undefined in the data dictionary, that have identical meaning regardless of

the field. The codes are the same size as the field; that is, a threecharacter field will have three symbols. These standard codes are listed

below.

 ! Not available--The code would be shown except it had not been

 determined when the files were prepared (for example, metropolitan

 area code on a county summary level (050) on STF 1A).

 9 Not in--This indicates a "remainder of" an area, such as a place

 code in the portion of a county subdivision not in a place, or the

 summary level is not part of any area to which the code field
 applies, such as a summary level which is not in an Alaska Native

 Regional Corporation.

 Blank Not applicable--This indicates that the code is not applicable to

 the summary level.

Where these codes are specifically defined in the data dictionary, the

defined code should be used. For example, in the division code description

on the data dictionary (position 89), the code for the Pacific Division is

indicated as "9." This "9" should be interpreted as the division code,

not as "not in," the standard code for "9."

Chart 1. STF 3 File Identification by Summary Level1

 Summary level Summary level Summary level

Field name 010 020 030 040 050 060 061 062 070

Record Codes

File Identification * * * * * * * * *

State/US-Abbreviation * * * * * * * * *

Summary Level * * * * * * * * *

Geographic Component * * * * * * * * *

Characteristic Iteration * * * * * * * * *

Logical Record Number * * * * * * * * *

Logical Record Part Number * * * * * * * * *

Total Number of Parts In

 Record * * * * * * * * *

Geographic Area Codes

Alaska Native Regional Corporation

American Indian/Alaska Native Area (Census)

American Indian/Alaska Native Area (FIPS)

American Indian/Alaska Native Area Class Code

American Indian Reservation Trust Land Indicator

Block

Block Group

Census Tract/Block Numbering Area

Congressional District

Consolidated City (Census) *

Consolidated City (FIPS) *

Consolidated City Class Code *

Consolidated City Size Code *

Consolidated Metropolitan

 Statistical Area * * * * *

County * * * * *

County Size Code * * * * *
County Subdivision (Census) * * * *

County Subdivision (FIPS) * * * *

County Subdivision Class Code * * * *

County Subdivision Size Code * * * *

Division * * * * * * *

Extended City Indicator *

Internal Use Code

Metropolitan Statistical Area/Consolidated

 Metropolitan Statistical Area * * * * *

MSA/CMSA Size Code * * * * *

Place (Census) *

Place (FIPS) *

Place Class Code *

Place Description Code *

Place Size Code *

Primary Metropolitan Statistical

 Area * * * * *

Region * * * * * * * *

State (Census) * * * * * *

State (FIPS) * * * * * *

Urban/Rural

Urbanized Area

Urbanized Area Size Code

Special Area Code (1)

Special Area Code (2)

Special Area Code (3)

Special Area Code (4)

Special Area Code (5)

Special Area Code (6)

Special Area Code (7)

Special Area Code (8)

Special Area Code (9) * * * * * * * * *

Special Area Code (10)

Area Characteristics

Area (Land) * * * * * * * * *

Area (Water) * * * * * * * * *

Area Name/PSAD Term/Part

 Indicator * * * * * * * * *

Functional Status Code * * * * * * * * *

Geographic Change User Note

 Indicator * * * * * * * * *

Housing Unit Count

 (100 percent) * * * * * * * * *

Internal Point (Latitude) * * * * * * * * *

Internal Point (Longitude) * * * * * * * * *
Part Flag *

Political/Statistical Area

 Description Code * * * * * * * *

Population Count

 (100 percent) * * * * * * * * *

Special Flag * * * * * * * * *

Summary level Summary level Summary level Summary level

080 090 140 150 155 160 161 170 200 201 202 203 Field name

 Record Codes

 * * * * * * * * * * * * File Identification

 * * * * * * * * * * * * State/US-Abbreviation

 * * * * * * * * * * * * Summary Level

 * * * * * * * * * * * * Geographic Component

 * * * * * * * * * * * * Characteristic

 Iteration

 * * * * * * * * * * * * Logical Record Number

 * * * * * * * * * * * * Logical Record

 Part Number

 * * * * * * * * * * * * Total Number of

 Parts In Record

 Geographic Area Codes

 * * Alaska Native

 Regional Corporation

 * * * * * American Indian/Alaska

 Native Area (Census)

 * American Indian/Alaska

 Native Area (FIPS)

 * American Indian/Alaska

 Native Area Class Code

 * * * * American Indian

 Reservation Trust

 Land Indicator

 Block

 * * Block Group

 * * * * Census Tract/Block

 Numbering Area

 * Congressional

 District

 * * * * * * Consolidated

 City (Census)

 * * * * * * Consolidated

 City (FIPS)

 * * * * * * Consolidated

 City Class Code

 * * * * * * Consolidated

 City Size Code
 * * * * * Consolidated Metro-

 politan Statistical

 Area

 * * * * * * County

 * * * * * * County Size Code

 * * County Sub-

 division (Census)

 * * County Sub-

 division (FIPS)

 * * County Sub-

 division Class Code

 * * County Sub-

 division Size Code

 * * * * * * * * Division

 * * * * * Extended City

 Indicator

 Internal Use Code

 Metropolitan

 Statistical Area/

 Consolidated

 * * * * * Metropolitan

 Statistical Area

 * * * * * MSA/CMSA Size Code

 * * * * * Place (Census)

 * * * * * Place (FIPS)

 * * * * * Place Class Code

 * * * * * Place

 Description Code

 * * * * * Place Size Code

 * * * * * Primary Metropolitan

 Statistical Area

 * * * * * * * * Region

 * * * * * * * * State (Census)

 * * * * * * * * State (FIPS)

 * Urban/Rural

 * Urbanized Area

 * Urbanized Area

 Size Code

 Special Area

 Code (1)

 Special Area

 Code (2)

 Special Area

 Code (3)

 Special Area

 Code (4)

 Special Area

 Code (5)

 Special Area

 Code (6)
 Special Area

 Code (7)

 Special Area

 Code (8)

 * * * * * * * * * * * * Special Area

 Code (9)

 Special Area

 Code (10)

 Area Characteristics

 * * * * * * * * * * * * Area (Land)

 * * * * * * * * * * * * Area (Water)

 * * * * * * * * * * * * Area Name/PSAD

 Term/Part Indicator

 * * * * * * * * * * * * Functional

 Status Code

 * * * * * * * Geographic Change

 User Note Indicator

 * * * * * * * * * * * * Housing Unit

 Count (100 percent)

 * * * * * * * * * * * * Internal Point

 (Latitude)

 * * * * * * * * * * * * Internal Point

 (Longitude)

 * * Part Flag

 * * * * * * * * Political/Statistical

 Area Description

 Code

 * * * * * * * * * * * * Population Count

 (100 percent)

 * * * * * * * * * * * * Special Flag
 Summary level Summary level Summary level

Field name 204 205 206 207 208 210 211 212 215

Record Codes

File Identification * * * * * * * * *

State/US-Abbreviation * * * * * * * * *

Summary Level * * * * * * * * *

Geographic Component * * * * * * * * *

Characteristic Iteration * * * * * * * * *

Logical Record Number * * * * * * * * *

Logical Record Part Number * * * * * * * * *

Total Number of Parts In

 Record * * * * * * * * *

Geographic Area Codes

Alaska Native Regional

 Corporation * *

American Indian/Alaska

 Native Area (Census) * * * * * * * * *

American Indian/Alaska

 Native Area (FIPS) * * * * * * * *

American Indian/Alaska

 Native Area Class Code * * * * * * * *

American Indian Reservation

 Trust Land Indicator * * * * * * * *

Block

Block Group

Census Tract/Block Numbering Area

Congressional District

Consolidated City (Census)

Consolidated City (FIPS)

Consolidated City Class Code

Consolidated City Size Code

Consolidated Metropolitan Statistical Area

County

County Size Code

County Subdivision (Census)

County Subdivision (FIPS)

County Subdivision Class Code

County Subdivision Size Code

Division * * * * * * * *

Extended City Indicator

Internal Use Code

Metropolitan Statistical

 Area/Consolidated

 Metropolitan Statistical Area
MSA/CMSA Size Code

Place (Census)

Place (FIPS)

Place Class Code

Place Description Code

Place Size Code

Primary Metropolitan Statistical Area

Region * * * * * * * *

State (Census) * * * * * * * *

State (FIPS) * * * * * * * *

Urban/Rural

Urbanized Area

Urbanized Area Size Code

Special Area Code (1)

Special Area Code (2)

Special Area Code (3)

Special Area Code (4)

Special Area Code (5)

Special Area Code (6)

Special Area Code (7)

Special Area Code (8)

Special Area Code (9) * * * * * * * * *

Special Area Code (10)

Area Characteristics

Area (Land) * * * * * * * * *

Area (Water) * * * * * * * * *

Area Name/PSAD Term/Part

 Indicator * * * * * * * * *

Functional Status Code * * * * * * * * *

Geographic Change User Note

 Indicator * * * * * * *

Housing Unit Count

 (100 percent) * * * * * * * * *

Internal Point (Latitude) * * * * * * * * *

Internal Point (Longitude) * * * * * * * * *

Part Flag * * * * * * * *

Political/Statistical Area

 Description Code * * * * * * * * *

Population Count

 (100 percent) * * * * * * * * *

Special Flag * * * * * * * * *
Summary level Summary level Summary level Summary level

216 220 221 230 300 301 310 311 319 321 329 331 Field name

 Record Codes

 * * * * * * * * * * * * File Identification

 * * * * * * * * * * * * State/US-Abbreviation

 * * * * * * * * * * * * Summary Level

 * * * * * * * * * * * * Geographic Component

 * * * * * * * * * * * * Characteristic Iteration

 * * * * * * * * * * * * Logical Record Number

 * * * * * * * * * * * * Logical Record Part Number

 * * * * * * * * * * * * Total Number of Parts In Record

 Geographic Area Codes

 * Alaska Native

 Regional Corporation

 * * * American Indian/

 Alaska Native Area

 (Census)

 * * * American Indian/

 Alaska Native Area

 (FIPS)

 * * * American Indian/

 Alaska Native Area

 Class Code

 * * * American Indian

 Reservation Trust

 Land Indicator

 Block

 Block Group

 Census Tract/Block

 Numbering Area

 Congressional District

 Consolidated City

 (Census)

 Consolidated City

 (FIPS)

 Consolidated City

 Class Code

 Consolidated City

 Size Code

 * * * * * * * Consolidated Metro-

 politan Statistical

 Area

 * * * * County

 * * * * County Size Code

 County Subdivision

 (Census)
 County Subdivision

 (FIPS)

 County Subdivision

 Class Code

 County Subdivision

 Size Code

 * * * * * * * * * * Division

 Extended City

 Indicator

 Internal Use Code

 Metropolitan

 Statistical Area/

 Consolidated

 * * * * * * * * Metropolitan

 Statistical Area

 * * * * * * * * MSA/CMSA Size Code

 Place (Census)

 Place (FIPS)

 Place Class Code

 Place Description Code

 Place Size Code

 * * * * Primary Metro-

 politan Statistical

 Area

 * * * * * * * * * * Region

 * * * * * * * * * * State (Census)

 * * * * * * * * * * State (FIPS)

 Urban/Rural

 Urbanized Area

 Urbanized Area

 Size Code

 Special Area

 Code (1)

 Special Area

 Code (2)

 Special Area

 Code (3)

 Special Area

 Code (4)

 Special Area

 Code (5)

 Special Area

 Code (6)

 Special Area

 Code (7)

 Special Area

 Code (8)

 * * * * * * * * * * * * Special Area

 Code (9)

 Special Area

 Code (10)
 Area Characteristics

 * * * * * * * * * * * * Area (Land)

 * * * * * * * * * * * * Area (Water)

 * * * * * * * * * * * * Area Name/PSAD

 Term/Part Indicator

 * * * * * * * * * * * Functional

 Status Code

 * * * * * * * * * * * Geographic Change

 User Note Indicator

 * * * * * * * * * * * * Housing Unit Count

 (100 percent)

 * * * * * * * * * * * * Internal Point

 (Latitude)

 * * * * * * * * * * * * Internal Point

 (Longitude)

 * * * * * * * * * * Part Flag

 * * * * * * * * * * * * Political/Stati

 stical Area

 Description Code

 * * * * * * * * * * * * Population Count

 (100 percent)

 * * * * * * * * * * * * Special Flag

 Summary level Summary level Summary level

Field name 340 341 400 410 420 430 440 450 460

Record Codes

File Identification * * * * * * * * *

State/US-Abbreviation * * * * * * * * *

Summary Level * * * * * * * * *

Geographic Component * * * * * * * * *

Characteristic Iteration * * * * * * * * *

Logical Record Number * * * * * * * * *

Logical Record Part Number * * * * * * * * *

Total Number of Parts In

 Record * * * * * * * * *

Geographic Area Codes

Alaska Native Regional Corporation

American Indian/Alaska Native

 Area (Census)

American Indian/Alaska

 Native Area (FIPS)

American Indian/Alaska

 Native Area Class Code
American Indian Reservation

 Trust Land Indicator

Block

Block Group

Census Tract/Block Numbering Area

Congressional District

Consolidated City (Census) * * * *

Consolidated City (FIPS) * * * *

Consolidated City Class Code * * * *

Consolidated City Size Code * * * *

Consolidated Metropolitan

 Statistical Area * * * *

County * * *

County Size Code * * *

County Subdivision (Census) * *

County Subdivision (FIPS) * *

County Subdivision Class Code * *

County Subdivision Size Code * *

Division * * * * * * * *

Extended City Indicator * * * *

Internal Use Code

Metropolitan Statistical Area/

 Consolidated Metropolitan

 Statistical Area * * * * *

MSA/CMSA Size Code * * * * *

Place (Census) * * * *

Place (FIPS) * * * *

Place Class Code * * * *

Place Description Code * * * *

Place Size Code * * * *

Primary Metropolitan

 Statistical Area * * * *

Region * * * * * * * *

State (Census) * * * * * * * *

State (FIPS) * * * * * * * *

Urban/Rural * * * * * * *

Urbanized Area * * * * * * *

Urbanized Area Size Code * * * * * * *

Special Area Code (1)

Special Area Code (2)

Special Area Code (3)

Special Area Code (4)

Special Area Code (5)

Special Area Code (6)

Special Area Code (7)

Special Area Code (8)
Special Area Code (9) * * * * * * * * *

Special Area Code (10)

Area Characteristics

Area (Land) * * * * * * * * *

Area (Water) * * * * * * * * *

Area Name/PSAD Term/Part

 Indicator * * * * * * * * *

Functional Status Code * * * * * * * * *

Geographic Change User Note

 Indicator * * * * * * *

Housing Unit Count

 (100 percent) * * * * * * * * *

Internal Point (Latitude) * * * * * * * * *

Internal Point (Longitude) * * * * * * * * *

Part Flag * * * * * * * *

Political/Statistical Area

 Description Code * * * * * * * * *

Population Count

 (100 percent) * * * * * * * * *

Special Flag * * * * * * * * *

Summary level Summary level Summary level Summary level

501 510 520 530 540 550 551 552 560 800 810 820 Field Name

 Record Codes

 * * * * * * * * * * * * File Identification

 * * * * * * * * * * * * State/US-

 Abbreviation

 * * * * * * * * * * * * Summary Level

 * * * * * * * * * * * * Geographic Component

 * * * * * * * * * * * * Characteristic

 Iteration

 * * * * * * * * * * * * Logical Record

 Number

 * * * * * * * * * * * * Logical Record

 Part Number

 * * * * * * * * * * * * Total Number of

 Parts In Record

 Geographic Area Codes

 * Alaska Native

 Regional Corporation

 * * * American Indian/

 Alaska Native Area

 (Census)

 * * * American Indian/

 Alaska Native Area
 (FIPS)

 * * * American Indian/

 Alaska Native Area

 Class Code

 * * American Indian

 Reservation Trust

 Land Indicator

 Block

 Block Group

 Census Tract/Block

 Numbering Area

 * * * * * * * * * Congressional

 District

 * * Consolidated City

 (Census)

 * * Consolidated City

 (FIPS)

 * * Consolidated City

 Class Code

 * * Consolidated City

 Size Code

 * * * Consolidated Metro-

 politan Statistical

 Area

 * * * County

 * * * County Size Code

 * County Sub-

 division (Census)

 * County Sub-

 division (FIPS)

 * County Sub-

 division Class Code

 * County Sub-

 division Size Code

 * * * * * * * * * * * Division

 * Extended City

 Indicator

 Internal Use Code

 Metropolitan

 Statistical Area/

 Consolidated

 * * * Metropolitan

 Statistical Area

 * * * MSA/CMSA Size Code

 * Place (Census)

 * Place (FIPS)

 * Place Class Code

 * Place

 Description Code

 * Place Size Code
 * * * Primary Metro-

 politan Statistical

 Area

 * * * * * * * * * * * Region

 * * * * * * * * * * * State (Census)

 * * * * * * * * * * * State (FIPS)

 Urban/Rural

 Urbanized Area

 Urbanized Area

 Size Code

 * * * Special Area

 Code (1)

 Special Area

 Code (2)

 Special Area

 Code (3)

 Special Area

 Code (4)

 Special Area

 Code (5)

 Special Area

 Code (6)

 * * * * * * * * * Special Area

 Code (7)

 Special Area

 Code (8)

 * * * * * * * * * Special Area

 Code (9)

 Special Area

 Code (10)

 Area Characteristics

 * * * * * * * * * Area (Land)

 * * * * * * * * * Area (Water)

 * * * * * * * * * * * * Area Name/PSAD

 Term/Part Indicator

 * * * * * * * * * * * Functional

 Status Code

 * * * * * * * * Geographic Change

 User Note Indicator

 * * * * * * * * * * * * Housing Unit Count

 (100 percent)

 * * * * * * * * * Internal Point

 (Latitude)

 * * * * * * * * * Internal Point

 (Longitude)

 * * * * * * * * * * Part Flag

 * * * * * * * * * Political/Stati-

 stical Area

 Description Code
 * * * * * * * * * * * * Population Count

 (100 percent)

 * * * * * * * * * * * * Special Flag

1See the Summary Level Sequence Charts chapter for identification of the

 summary level record numbers.
SUBJECT LOCATOR

CONTENTS

Index 3--1

This index is designed to quickly identify the STF 3 tables needed. Each

table variable is listed alphabetically. Both the type of entry being

tabulated (universe), which is shown in italics, and the relevant table

numbers appear under the variable heading. If the entry variable is cross

tabulated by another variable, the variable of cross tabulation is

indicated beneath the universe and is preceded by the word "by." The

index entries for each variable are arranged alphabetically by universe,

then by variable of cross tabulation, if any. For example, if you are

looking for a table tabulating age by sex for females, check the index

under either of the two variables. Checking under age, you find an entry

for a table with a universe of females. Checking the entry, you can see

that age is cross tabulated by sex in table P15B.

INDEX

100-Percent Count of Housing Units

 Housing units H3

 See also Housing Units

100-Percent Count of Persons

 Persons P3

 See also Persons

African-American

 See Race

Age

 American Indian, Eskimo, or Aleut females

 by Race by Sex P14F

 American Indian, Eskimo, or Aleut males

 by Race by Sex P14E

 Asian or Pacific Islander females

 by Race by Sex P14H

 Asian or Pacific Islander males

 by Race by Sex P14G

 Black females

 by Race by Sex P14D

 Black males

 by Race by Sex P14C

 Civilian noninstitutionalized persons

 16 years and over

 by Sex by Mobility and Self-Care Limitation Status P69

 by Sex by Mobility Limitation Status by Employment Status P67

 by Sex by Work Disability Status and Employment Status P66

 by Sex by Work Disability Status by Mobility and Self-Care 

 Limitation Status P68

 Females

 by Sex P15B
 Females 15 years and over

 by Aggregate Number of Children Ever Born by Marital Status P39

 by Marital Status P38

 Males

 by Sex P15A

 Other race females

 by Age by Sex P14J

 Other race males

 by Age by Sex P14I

 Persons P13

 by Citizenship P37

 Persons 5 years and over

 by Language Spoken at Home and Ability to Speak English P28

 Persons 16 years and over

 by Sex by Veteran Status P64

 Persons for whom poverty status is determined

 by Poverty Status in 1989 P117

 by Poverty Status in 1989 by Household Type and Relationship P122

 by Poverty Status in 1989 by Race P119

 by Poverty Status in 1989 by Sex P118

 Persons in group quarters

 by Group Quarters P41

 Persons in households

 by Aggregate Persons in Households by

 Public Assistance Income in 1989 P106

 Persons of Hispanic origin for whom

 poverty status is determined by Poverty Status in 1989 P120

 White females

 by Race by Sex P14B

 White males

 by Race by Sex P14A

 See also Household Type and Presence and Age of Children

Age of Householder

 American Indian, Eskimo, or Aleut Households

 by Race of Householder

 by Household Income in 1989 P87C

 Asian or Pacific Islander Households

 by Race of Householder 

 by Household income in 1989 P87D

 Black Households

 by Race of Householder

 by Household Income in 1989 P87B

 Households

 by Household Income in 1989 P86

 by Household Type P24

 by Poverty Status in 1989 by Household Type P127

 Households with householder of Hispanic origin

 by Household Income in 1989 P88

 Occupied housing units

 by Plumbing Facilities H68

 by Telephone in Housing Unit H36

 by Tenure H13

 by Vehicles Available H41

 Other race households

 by Race of Householder

 by Household Income in 1989 P87E
 Specified owner-occupied housing units

 by Selected Monthly Owner Costs as a Percentage of Household 

 Income in 1989 H60

 Specified renter-occupied housing units

 by Gross Rent as a Percentage of Household Income in 1989 H51

 White households

 by Race of Householder

 by Household Income in 1989 P87A

Age, Language Spoken at Home, and Linguistic Isolation

 Persons 5 years and over P30

 See also Age

 See also Household Language and Linguistic Isolation

 See also Language Spoken at Home

 See also Language Spoken at Home and Ability to Speak English

Aggregate Contract Rent

 See Aggregate Gross Rent

 See Gross Rent

 See Gross Rent as a Percentage of Household Income in 1989

 See Meals Included in Rent

 See Median Gross Rent

 See Median Gross Rent as a Percentage of Household Income in 1989

Aggregate Family Income in 1989 Families 

 by Family Income in 1989 P108

 by Family Type and Presence and Age of Children P109

 by Workers in Family in 1989 P113

 See also Family Income in 1989

Aggregate Farm Self-Employment Income in 1989

 Households P100

 See also Farm Self-Employment Income in 1989

Aggregate Gross Rent

 Specified renter-occupied housing units paying cash rent H44

 by Meals Included in Rent H48

 See also Gross Rent

 See also Gross Rent as a Percentage of Household Income in 1989

 See also Median Gross Rent

 See also Median Gross Rent as a Percentage of Household Income in 1989

Aggregate Household Income in 1989

 Households P81

 by Race of Householder P84

 Households with householder of Hispanic origin P85

 Occupied housing units

 by Tenure and Mortgage Status H63

 See also Household Income in 1989

Aggregate Income in 1989

 Persons 15 years and over

 by Group Quarters P114

 by Race P115

 Persons of Hispanic origin 15 years and over P116
Aggregate Interest, Dividend, or Net Rental Income in 1989

 Households P101

 See also Interest, Dividend, or Net Rental Income in 1989

Aggregate Nonfamily Household Income in 1989

 Nonfamily households

 by Nonfamily Household Income in 1989 P111

 See also Nonfamily Household Income in 1989

Aggregate Nonfarm Self-Employment Income in 1989

 Households P99

 See also Nonfarm Self-Employment Income in 1989

Aggregate Number of Children Ever Born

 Females 15 years and over

 by Marital Status by Age P39

Aggregate Other Type of Income in 1989

 Households P105

 See also Other Type of income in 1989

Aggregate Persons

 Persons in occupied housing units

 by Tenure H19

 by Tenure by Race of Householder H14

 Persons in occupied housing units with householder of Hispanic origin

 by Tenure H15

 See also Persons

Aggregate Persons in Households

 Persons in households

 by Public Assistance Income in 1989

 by Age P106

Aggregate Price Asked

 See Aggregate Value

 See Value

Aggregate Public Assistance Income in 1989

 Households P103

 See also Public Assistance Income in 1989

Aggregate Rent Asked

 See Meals Included in Rent

Aggregate Retirement Income in 1989

 Households P104

 See also Retirement Income in 1989

Aggregate Rooms

 Housing units H17

 See also Rooms

Aggregate Selected Monthly Owner Costs

 Owner-occupied condominium housing units

 by Mortgage Status H57
 Owner-occupied mobile homes or trailers

 by Mortgage Status H56

 Specified owner-occupied housing units by Mortgage Status H53

 See also Median Selected Monthly Owner Costs and Mortgage Status

 See also Median Selected Monthly Owner Costs as a Percentage 

 of Household Income in 1989 and Mortgage Status

 See also Mortgage Status and Selected Monthly Owner Costs

 See also Selected Monthly Owner Costs as a Percentage of Household 

 Income in 1989

Aggregate Social Security Income in 1989

 Households P102

 See also Social Security Income in 1989

Aggregate Travel Time to Work (In Minutes)

 Workers 16 years and over who did not work at home P51

 See also Travel Time to Work

Aggregate Value

 Specified owner-occupied housing units

 by Mortgage Status H62

 See also Median Value

 See also Value

Aggregate Vehicles Available

 Occupied housing units

 by Tenure H38

 See also Vehicles Available

Aggregate Wage or Salary Income in 1989

 Households P98

 See also Wage or Salary Income in 1989

Alaska Native

 See Race

Aleut

 See Race

American Indian

 See Race

Ancestry

 Persons P32,P33,

 P34,P35

Asian

 See Race

Asian Indian

 See Race

Bedrooms

 Housing units H31

 Occupied housing units

 by Tenure H33
 Specified renter-occupied housing units

 by Gross Rent H34

 Vacant housing units H32

 See also Aggregate Rooms

 See also Rooms

Black

 See Race

Cambodian

 See Race

Central American

 See Hispanic Origin

Chicano

 See Hispanic Origin

Children

 See Aggregate Number of Children Ever Born

 See Household Type and Presence and Age of Children

 See Household Type and Relationship

Chinese

 See Race

Citizenship

 Persons

 by Age P37

Class of Worker

 Employed persons 16 years and over P79

 See also Industry

 See also Occupation

Colombian

 See Hispanic Origin

Condominium Status

 Occupied housing units

 by Tenure and Mortgage Status H7

 Vacant housing units

 by Vacancy Status H6

Congregate Housing

 See Meals Included in Rent

Contract Rent

 See Aggregate Gross Rent

Cuban

 See Hispanic Origin

Dividend

 See Interest, Dividend, or Net Rental Income in 1989
Dominican

 See Hispanic Origin

Earnings in 1989

 Households P89

 See also Aggregate Wage or Salary Income in 1989

 See also Wage or Salary Income in 1989

Ecuadorian

 See Hispanic Origin

Educational Attainment

 Persons 18 years and over P60

 Persons 25 years and over P57

 by Race P58

 Persons of Hispanic origin 25 years and over P59

 See also School Enrollment

 See also School Enrollment and Type of School

 See also School Enrollment, Educational Attainment, and Employment

Elderly

 See Age

Employment Status

 Civilian noninstitutionalized persons 16 years and over

 by Sex by Age by Mobility Limitation Status P67

 Persons 16 years and over

 by Race by Sex P71

 by Sex P70

 Persons of Hispanic origin 16 years and over

 by Sex P72

 See also Work Disability Status and Employment Status

 See also Work Status in 1989

 See also Work Status in 1989, Usual Hours

 Worked Per Week in 1989, and Weeks Worked in 1989

Employment Status of Parents

 Own children under 18 years in families and subfamilies

 by Presence and Age of Children P74

Eskimo

 See Race

Families

 Families P4

 See also Household Type and Relationship

Family Composition

 See Household Type and Relationship

Family Income in 1989

 Families P107

 by Aggregate Family Income in 1989 P108

 See also Median Family Income in 1989

Family Size

 See Household Type and Relationship
Family Type and Age

 Related children under 18 years

 by Poverty Status in 1989 P126

 See also Age

Family Type and Age of Children

 Own children under 18 years P23

 See also Age

Family Type and Presence and Age of Children

 Families P22

 by Aggregate Family Income in 1989 P109

 by Poverty Status in 1989 P123

 Families with householder of Hispanic origin

 by Poverty Status in 1989 P125

 Family income in 1989 above poverty level

 by Race of Householder P124A

 Family income in 1989 below poverty level

 by Race of Householder P124B

 See also Household Type and Relationship

 See also Presence and Age of Children

 See also Presence and Age of Children and Employment Status

Farm Self-Employment Income in 1989

 Households P92

 See also Aggregate Farm Self-Employment Income in 1989

Females

 See Sex

Filipino

 See Race

Foster Children

 See Household Type and Relationship

Gross Rent

 Specified renter-occupied housing units H43

 by Bedrooms H34

 by Hispanic Origin H46

 by Race of Householder H45

 See also Aggregate Gross Rent

 See also Median Gross Rent

 See also Median Gross Rent as a Percentage of Household Income in 1989

Gross Rent as a Percentage of Household Income in 1989

 Specified renter-occupied housing units

 by Age of Householder H51

 by Household Income in 1989 H50

 See also Median Gross Rent

 See also Median Gross Rent as a Percentage of Household Income in 1989

Group Quarters

 Persons

 by Per Capita Income in 1989 P114B

 Persons 15 years and over

 by Aggregate Income in 1989 P114
 Persons in group quarters P40

 by Age P41

Guamanian

 See Race

Hawaiian

 See Race

Hispanic Origin

 Persons P11

 by Race P12

 Specified renter-occupied housing units

 by Gross Rent H46

 See also Hispanic Origin of Householder

 See also Persons of Hispanic Origin

Hispanic Origin of Householder

 Occupied housing units

 by Race of Householder H11

 See also Hispanic Origin

 See also Persons of Hispanic Origin

Hmong

 See Race

Homeless

 See Group Quarters

Honduran

 See Hispanic Origin

House Heating Fuel

 Occupied housing units H30

Household Income in 1989

 American Indian, Eskimo, or Aleut households

 by Age of Householder

 by Race of Householder P87C

 Asian or Pacific Islander households

 by Age of Householder

 by Race of Householder P87D

 Black households

 by Age of Householder

 by Race of Householder P87B

 Households P80

 by Age of Householder P86

 by Race of Householder P82

 Households with householder of Hispanic origin P83

 by Age of Householder P88

 Other race households

 by Age of Householder

 by Race of Householder P87E

 Specified owner-occupied housing units

 by Selected Monthly Owner Costs as a Percentage of 

 Household Income in 1989 H59
 Specified renter-occupied housing units by Gross Rent as 

 a Percentage of Household Income in 1989 H50

 White households

 by Age of Householder

 by Race of Householder P87A

 See also Aggregate Household Income in 1989

 See also Median Household Income in 1989

Household Language and Linguistic Isolation

 Households P29

 See also Age, Language Spoken at Home, and Linguistic Isolation

 See also Language Spoken at Home

 See also Language Spoken at Home and Ability to Speak English

Household Size

 See Household Type and Relationship

Household Size and Household Type

 See Household Type

 See Household Type and Presence and Age of Children

 See Household Type and Relationship

Household Type

 Households

 by Age of Householder P24

 by Poverty Status in 1989 by Age of Householder P127

Household Type and Household Size

 See Household Type and Relationship

Household Type and Presence and Age of Children

 Households P19

 by Race of Householder P20

 Households with householder of Hispanic origin P21

 See also Household Type

 See also Presence and Age of Children

 See also Presence and Age of Children and Employment Status

Household Type and Relationship

 Persons P17

 Persons 65 years and over P18

 Persons for whom poverty status is determined

 by Poverty Status in 1989 by Age P122

 See also Household Type

 See also Household Type and Presence and Age of Children

Households

 Households P5

 See also Household Type

 See also Household Type and Relationship

Housing Units

 Housing units H1

 See also 100-Percent Count of Housing Units

 See also Percent of Housing Units in Sample

 See also Unweighted Sample Count of Housing Units
Imputation of Ability to Speak English

 Persons 5 years and over P147

Imputation of Age

 Persons P131

Imputation of Ancestry

 Persons P142

Imputation of Bedrooms

 Housing units H81

Imputation of Children Ever Born

 Females 15 years and over P153

Imputation of Citizenship

 Persons P137

Imputation of Class of Worker

 Employed persons 16 years and over P165

Imputation of Condominium Status

 Housing units H73

Imputation of Educational Attainment

 Persons 18 years and over P140

 Persons 25 years and over P141

Imputation of Employment Status

 Persons 16 years and over P159

Imputation of Family Income in 1989

 Families P168

Imputation of Gross Rent

 Specified renter-occupied housing units H91

Imputation of Group Quarters

 Persons in group quarters P135

Imputation of Hispanic Origin

 Persons P134

Imputation of House Heating Fuel

 Occupied housing units H79

Imputation of Household Income in 1989

 Households P167

Imputation of Housing Items

 Housing units H72

Imputation of Income in 1989

 Persons 15 years and over P166

Imputation of Industry

 Employed persons 16 years and over P163
Imputation of Kitchen Facilities

 Housing units H80

Imputation of Language Spoken at Home

 Persons 5 years and over P146

Imputation of Language Status

 Persons 5 years and over P145

Imputation of Marital Status

 Persons 15 years and over P133

Imputation of Meals Included in Rent

 Specified renter-occupied housing units paying cash rent H90

Imputation of Means of Transportation to Work

 Workers 16 years and over P155

Imputation of Mobility Limitation Status

 Civilian noninstitutionalized persons 16 years and over P151

Imputation of Mobility Status

 Persons 5 years and over P143

Imputation of Mortgage Status

 Specified owner-occupied housing units H84

Imputation of Mortgage Status and Selected Monthly Owner Costs

 Specified owner-occupied housing units H92

Imputation of Nonfamily Household Income in 1989

 Nonfamily households P169

Imputation of Occupation

 Employed persons 16 years and over P164

Imputation of Period of Military Service

 Civilian veterans 16 years and over P149

Imputation of Place of Birth

 Persons P136

Imputation of Place of Work

 Workers 16 years and over P154

Imputation of Plumbing Facilities

 Housing units H74

Imputation of Population Items

 Persons P128

Imputation of Poverty Status in 1989

 Persons for whom poverty status is determined P170

Imputation of Private Vehicle Occupancy

 Workers 16 years and over P156
Imputation of Race

 Persons P132

Imputation of Relationship

 Persons in households P129

Imputation of Residence in 1985

 Persons 5 years and over 144

Imputation of Rooms

 Housing units H87

Imputation of School Enrollment

 Persons 3 years and over P139

Imputation of Self-Care Limitation Status

 Civilian noninstitutionalized persons 16 years and over P152

Imputation of Sewage Disposal

 Housing units H76

Imputation of Sex

 Persons P130

Imputation of Source of Water

 Housing units H75

Imputation of Telephone in Housing Unit

 Occupied housing units H82

Imputation of Tenure

 Occupied housing units H85

Imputation of Time Leaving Home to go to Work

 Workers 16 years and over P157

Imputation of Travel Time to Work

 Workers 16 years and over P158

Imputation of Units in Structure

 Housing units H88

Imputation of Usual Hours Worked Per Week in 1989

 Persons 16 years and over P161

Imputation of Vacancy Status

 Vacant housing units H86

Imputation of Value

 Specified owner-occupied housing units H89

Imputation of Vehicles Available

 Occupied housing units H83

Imputation of Veteran Status

 Persons 16 years and over P148
Imputation of Weeks Worked in 1989

 Persons 16 years and over P162

Imputation of Work Disability Status

 Civilian noninstitutionalized persons 16 years and over P150

Imputation of Work Status in 1989

 Persons 16 years and over P160

Imputation of Year Householder Moved Into Unit

 Occupied housing units H78

Imputation of Year of Entry

 Foreign-born persons P138

Imputation of Year Structure Built

 Housing units H77

Inclusion of Utilities in Rent

 Specified renter-occupied housing units H49

Industry

 Employed persons 16 years and over P77

 See also Class of Worker

 See also Occupation

Institutionalized Person

 See Group Quarters

Interest, Dividend, or Net Rental Income in 1989

 Households P93

 See also Aggregate Interest, Dividend, or Net Rental Income in 1989

Japanese

 See Race

Kitchen Facilities

 Housing units H42

Korean

 See Race

Language Spoken at Home

 Persons 5 years and over P31

 See also Age, Language Spoken at Home, and Linguistic Isolation

 See also Household Language and Linguistic Isolation

 See also Language Spoken at Home and Ability to Speak English

Language Spoken at Home and Ability to Speak English

 Persons 5 years and over

 by Age P28

Laotian

 See Race

Lower Value Quartile

 See Value
Males

 See Sex

Marital Status

 Females 15 years and over

 by Age P38

 by Aggregate Number of Children Ever Born

 by Age P39

 Persons 15 years and over

 by Sex P27

Married Couples

 See Marital Status

Meals Included in Rent

 Specified renter-occupied housing units paying cash rent H47

 by Aggregate Gross Rent H48

Means of Transportation to Work

 Workers 16 years and over P49

 See also Private Vehicle Occupancy

Median Family Income in 1989

 Families P107A

 See also Family Income in 1989

Median Gross Rent

 Specified renter-occupied housing units paying cash rent H43A

 See also Aggregate Gross Rent

 See also Gross Rent

Median Gross Rent as a Percentage of Household Income in 1989

 Specified renter-occupied housing units paying cash rent H50A

 See also Gross Rent as a Percentage of Household Income in 1989

Median Household Income in 1989

 Households P80A

 See also Aggregate Household Income in 1989

 See also Household Income in 1989

Median Nonfamily Household Income in 1989

 Nonfamily households P110A

 See also Aggregate Nonfamily Household Income in 1989

 See also Nonfamily Household Income in 1989

Median Selected Monthly Owner Costs and Mortgage Status

 Specified owner-occupied housing units H52A

 See also Aggregate Selected Monthly Owner Costs

 See also Mortgage Status

 See also Mortgage Status and Selected Monthly Owner Costs

 See also Selected Monthly Owner Costs as a Percentage of 

 Household Income in 1989

Median Selected Monthly Owner Costs as a Percentage of Household 

 Income in 1989 and Mortgage Status

 Specified owner-occupied housing units H58A
 See also Aggregate Selected Monthly Owner Costs

 See also Mortgage Status

 See also Mortgage Status and Selected Monthly Owner Costs

 See also Selected Monthly Owner Costs as a Percentage of 

 Household Income in 1989

Median Value

 Specified owner-occupied housing units H61A

 See also Aggregate Value

 See also Value

Median Year Structure Built

 Housing units H25A

 See also Year Structure Built

Melanesian

 See Race

Mexican

 See Hispanic Origin

Micronesian

 See Race

Mobile Home or Trailer

 See Units in Structure

Mobility and Self-Care Limitation Status

 Civilian noninstitutionalized persons 16 years and over

 by Sex by Age P69

 by Sex by Age by Work Disability Status P68

 See also Mobility Limitation Status

Mobility Limitation Status

 Civilian noninstitutionalized persons 16 years and over

 by Sex by Age by Employment Status P67

 See also Mobility and Self-Care Limitation Status

Mortgage Status

 Owner-occupied condominium housing units by Aggregate Selected 

 Monthly Owner Costs H57

 Owner-occupied mobile homes or trailers by Aggregate Selected 

 Monthly Owner Costs H56

 Specified owner-occupied housing units by Aggregate Selected 

 Monthly Owner Costs H53

 by Aggregate Value H62

 by Selected Monthly Owner Costs as a Percentage of Household 

 Income in 1989 H58

 See also Median Selected Monthly Owner Costs and Mortgage Status

 See also Median Selected Monthly Owner Costs as a Percentage of 

 Household Income in 1989 and Mortgage Status

 See also Tenure and Mortgage Status

Mortgage Status and Selected Monthly Owner Costs

 Specified owner-occupied housing units H52

 by Race of Householder H54
 Specified owner-occupied housing units with householder of 

 Hispanic origin H55

 See also Aggregate Selected Monthly Owner Costs

 See also Tenure and Mortgage Status

Nicaraguan

 See Hispanic Origin

Nonfamily Household Income in 1989

 Nonfamily households P110

 by Aggregate Nonfamily Household Income in 1989 P111

 See also Median Nonfamily Household Income in 1989

Nonfarm Self-Employment Income in 1989

 Households P91

 See also Aggregate Nonfarm Self-Employment Income in 1989

Noninstitutional Group Quarters

 See Group Quarters

Occupancy Status

 Housing units H4

 See also Tenure

 See also Vacancy Status

Occupation

 Employed persons 16 years and over P78

 See also Class of Worker

 See also Industry

Other Asian

 See Race

Other Central American

 See Hispanic Origin

Other Hispanic

 See Hispanic Origin

Other Micronesian

 See Race

Other Persons in Group Quarters

 See Group Quarters

Other Polynesian

 See Race

Other Race

 See Race

Other Type of Income in 1989

 Households P97

 See also Aggregate Other Type of Income in 1989

Own Children

 See Household Type and Relationship
Owner Occupied

 See Occupancy Status

 See Tenure

Owner-Occupied Housing Units

 See Occupancy Status

 See Tenure

Pacific Islander

 See Race

Panamanian

 See Hispanic Origin

Per Capita Income in 1989

 Persons P114A

 by Group Quarters P114B

 by Race P115A

 Persons of Hispanic origin P116A

 See also Earnings in 1989

Percent of Housing Units in Sample

 Housing units H3A

 See also Unweighted Sample Count of Housing Units

Percent of Persons in Sample

 Persons P3A

 See also Unweighted Sample Count of Persons

Period of Military Service

 Civilian veterans 16 years and over P65

 See also Veteran Status

Persons

 Persons P1

 See also 100-Percent Count of Persons

 See also Aggregate Persons

 See also Percent of Persons in Sample

 See also Persons in Household

 See also Persons in Unit

 See also Unweighted Sample Count of Persons

Persons in Family

 See Household Type and Relationship

 See Persons

Persons in Household

 Households P16

 See also Aggregate Persons in Households

 See also Household Type and Relationship

 See also Persons

Persons in Unit

 Occupied housing units

 by Tenure H18
 See also Aggregate Persons

 See also Persons

Persons of Hispanic Origin

 Persons of Hispanic origin P10

 See also Hispanic Origin

Persons Per Room

 Occupied housing units

 by Plumbing Facilities by Year Structure Built H71

 by Tenure by Plumbing Facilities H69

 See also Rooms

Peruvian

 See Hispanic Origin

Place of Birth

 Persons P42

Place of Work--Minor Civil Division Level

 Workers 16 years and over P48

Place of Work--MSA/PMSA Level

 Workers 16 years and over P47

Place of Work--Place Level

 Workers 16 years and over P46

Place of Work--State and County Level

 Workers 16 years and over P45

Plumbing Facilities

 Housing units H64

 by Units in Structure H70

 Occupied housing units

 by Age of Householder H68

 by Persons Per Room by Year Structure Built H71

 by Race of Householder H66

 by Tenure by Persons Per Room H69

 Occupied housing units with householder of Hispanic origin H67

 Vacant housing units H65

Polynesian

 See Race

Poverty Status in 1989

 Families

 by Family Type and Presence and Age of Children P123

 Families with householder of Hispanic origin

 by Family Type and Presence and Age of Children P125

 Family income in 1989 above poverty level

 by Family Type by Race of Householder P124A

 Family income in 1989 below poverty level

 by Family Type by Race of Householder P124B

 Households

 by Age of Householder by Household Type P127

 Persons for whom poverty status is determined
 by Age P117

 by Age by Household Type and Relationship P122

 by Race by Age P119

 by Sex by Age P118

 Persons of Hispanic origin for whom poverty status is determined

 by Age P120

 Related children under 18 years

 by Family Type and Age P126

 See also Ratio of Income in 1989 to Poverty Level

Presence and Age of Children

 Own children under 18 years in families and subfamilies

 by Employment Status of Parents P74

 See also Household Type and Presence and Age of Children

 See also Subfamily Type and Presence and Age of Children

Presence and Age of Children and Employment Status

 Females 16 years and over P73

 See also Employment Status

 See also Subfamily Type and Presence and Age of Children

Private Vehicle Occupancy

 Workers 16 years and over P53

 See also Means of Transportation to Work

 See also Vehicles Available

Public Assistance Income in 1989

 Households P95

 Persons in households

 by Aggregate Persons in Households by Age P106

Puerto Rican

 See Hispanic Origin

Race

 American Indian, Eskimo, or Aleut females

 by Race by Sex P14F

 American Indian, Eskimo, or Aleut males

 by Race by Sex P14E

 Asian or Pacific Islander females

 by Race by Sex P14H

 Asian or Pacific Islander males

 by Race by Sex P14G

 Black females

 by Race by Sex P14D

 Black males

 by Race by Sex P14C

 Other race females

 by Age by Sex P14J

 Other race males

 by Age by Sex P14I

 Persons P8,P9

 by Hispanic Origin P12

 by Per Capita Income in 1989 P115A

 Persons 3 years and over

 by School Enrollment P55

 Persons 15 years and over
 by Aggregate Income in 1989 P115

 Persons 16 to 19 years

 by School Enrollment, Educational Attainment, and Employment

 Status P62

 Persons 16 years and over

 by Sex by Employment Status P71

 Persons 25 years and over by Educational Attainment P58

 Persons for whom poverty status is determined

 by Poverty Status in 1989 by Age P119

 White females

 by Race by Sex P14B

 White males

 by Race by Sex P14A

Race of Householder

 American Indian, Eskimo, or Aleut households

 by Age of Householder

 by Household Income in 1989 P87C

 Asian or Pacific Islander households

 by Age of Householder

 by Household Income in 1989 P87D

 Black households

 by Age of Householder

 by Household Income in 1989 P87B

 Family income in 1989 above poverty level

 by Family Type

 by Poverty Satus in 1989 P124A

 Family income in 1989 below poverty level

 by Family Type

 by Poverty Satus in 1989 P124B

 by Aggregate Household Income in 1989 P84

 by Household Income in 1989 P82

 by Household Type and Presence and Age of Children P20

 Occupied housing units H9

 by Hispanic Origin of Householder H11

 by Plumbing Facilities H66

 by Tenure H10

 by Vehicles Available H39

 Occupied housing units with householder of Hispanic origin

 by Tenure H12

 Persons in occupied housing units

 by Aggregate Persons by Tenure H14

 Other race households

 by Age of Householder

 by Household Income in 1989 P87E

 Specified owner-occupied housing units

 by Mortgage Status and Selected Monthly Owner Costs H54

 Specified renter-occupied housing units

 by Gross Rent H45

 White households

 by Age of Householder

 by Household Income in 1989 P87A

Ratio of Income in 1989 to Poverty Level

 Persons for whom poverty status

 is determined P121

 See also Poverty Status in 1989
Related Children

 See Household Type and Relationship

Relationship and Age

 See Age

 See Age of Householder

Rent

 See Aggregate Rent Asked

 See Meals Included in Rent

 See Median Gross Rent

Rental Income

 See Interest, Dividend, or Net Rental Income in 1989

Renter Occupied

 See Occupancy Status

 See Tenure

Renter-Occupied Housing Units

 See Occupancy Status

 See Tenure

Residence in 1985---MSA/PMSA Level

 Persons 5 years and over P44

Residence in 1985---State and County Level

 Persons 5 years and over P43

Retirement Income in 1989

 Households P96

Rooms

 Housing units H16

 See also Aggregate Rooms

 See also Bedrooms

 See also Persons Per Room

Salvadoran

 See Hispanic Origin

Samoan

 See Race

School Enrollment

 Persons 3 years and over

 by Race P55

 Persons of Hispanic origin 3 years and over P56

 See also Educational Attainment

 See also School Enrollment and Type of School

 See also School Enrollment, Educational Attainment, and 

 Employment Status

School Enrollment and Type of School

 Persons 3 years and over P54

 See also Educational Attainment
 See also School Enrollment

 See also School Enrollment, Educational

 Attainment, and Employment Status

School Enrollment, Educational Attainment, and Employment Status

 Persons 16 to 19 years P61

 by Race P62

 Persons of Hispanic origin 16 to 19 years P63

 See also Educational Attainment

 See also Employment Status

 See also School Enrollment

Selected Monthly Owner Costs as a Percentage

 of Household Income in 1989

 Specified owner-occupied housing units

 by Age of Householder H60

 by Household Income in 1989 H59

 by Mortgage Status H58

 See also Median Selected Monthly Owner

 Costs and Mortgage Status

 See also Median Selected Monthly Owner Household 

 Income in 1989 and Mortgage Status

Sewage Disposal

 Housing units H24

Sex

 American Indian, Eskimo, or Aleut females

 by Race by Sex P14F

 American Indian, Eskimo, or Aleut males

 by Race by Sex P14E

 Asian or Pacific Islander females

 by Race by Sex P14H

 Asian or Pacific Islander males

 by Race by Sex P14G

 Black females

 by Race by Sex P14D

 Black males

 by Race by Sex P14C

 Civilian noninstitutionalized persons 16 years and over

 by Age by Mobility and Self-Care Limitation Status P69

 by Age by Mobility Limitation

 Status by Employment Status P67

 by Age by Work Disability Status and Employment Status P66

 by Age by Work Disability Status

 by Mobility and Self-Care Limitation Status P68

 Females

 by Sex P15B

 Males

 by Sex P15A

 Other race females

 by Age by Sex P14J

 Other race males

 by Age by Sex P14I

 Persons P7

 Persons 15 years and over

 by Marital Status P27
 Persons 16 years and over

 by Age by Veteran Status P64

 by Employment Status P70

 by Race by Employment Status P71

 by Work Status in 1989 P75

 by Work Status, Usual Hours Worked Per Week, and Weeks 

 Worked in 1989 P76

 Persons for whom poverty status is determined

 by Poverty Status in 1989 by Age P118

 Persons of Hispanic origin 16 years and over

 by Employment Status P72

 White females

 by Race by Sex P14B

 White males

 by Race by Sex P14A

Social Security Income in 1989

 Households P94

 See also Aggregate Social Security Income in 1989

Source of Water

 Housing units H23

South American

 See Hispanic Origin

Spanish

 See Hispanic Origin

Structure

 See Units in Structure

Subfamily Type and Presence and Age of Children

 Subfamilies P25

 See also Presence and Age of Children

 See also Presence and Age of Children and Employment Status

Subfamily Type and Relationship

 Persons in subfamilies P26

 See also Household Type and Relationship

Telephone in Housing Unit

 Occupied housing units

 by Age of Householder H36

 by Tenure H35

Tenure

 Occupied housing units H8

 by Age of Householder H13

 by Aggregate Vehicles Available H38

 by Bedrooms H33

 by Persons in Unit H18

 by Plumbing Facilities by Persons Per Room H69

 by Race of Householder H10

 by Telephone in Housing Unit H35

 by Units in Structure H22

 by Vehicles Available H37
 by Year Householder Moved into Unit H29

 by Year Structure Built H27

 Occupied housing units with householder of Hispanic origin

 by Race of Householder H12

 Persons in occupied housing units

 by Aggregate Persons H19

 by Aggregate Persons by Race of Householder H14

 Persons in occupied housing units with householder of Hispanic origin

 by Aggregate Persons H15

 See also Occupancy Status

 See also Tenure and Mortgage Status

 See also Vacancy Status

Tenure and Mortgage Status

 Occupied housing units

 by Aggregate Household Income in 1989 H63

 by Condominium Status H7

 See also Mortgage Status

 See also Mortgage Status and Selected Monthly Owner Costs

Thai

 See Race

Time Leaving Home to Go to Work

 Workers 16 years and over P52

Tongan

 See Race

Travel Time to Work

 Workers 16 years and over P50

 See also Aggregate Travel Time to Work

Units in Structure

 Housing units H20

 by Plumbing Facilities H70

 Occupied housing units

 by Tenure H22

 Vacant housing units H21

Unweighted Sample Count of Housing Units

 Housing units H2

 See also Percent of Housing Units in Sample

Unweighted Sample Count of Persons

 Persons P2

 See also Percent of Persons in Sample

Upper Value Quartile

 See Value

Urban and Rural

 Housing units H5

 Persons P6

Urbanized Area

 See Urban and Rural
Vacancy Status

 Vacant housing units

 by Condominium Status H6

 See also Occupancy Status

 See also Tenure

Value

 Specified owner-occupied housing units H61

 See also Aggregate Value

 See also Median Value

Vehicles Available

 Occupied housing units

 by Age of Householder H41

 by Race of Householder H39

 by Tenure H37

 Occupied housing units with householder of Hispanic origin H40

 See also Aggregate Vehicles Available

 See also Private Vehicle Occupancy

Veteran Status

 Persons 16 years and over

 by Sex by Age P64

 See also Period of Military Service

Vietnamese

 See Race

Wage or Salary Income in 1989

 Households P90

 See also Aggregate Wage or Salary Income in 1989

 See also Earnings in 1989

White

 See Race

Work Disability Status and Employment Status

 Civilian noninstitutionalized persons 16 years and over

 by Sex by Age P66

 See also Employment Status

 See also Work Status in 1989

 See also Work Status, in 1989, Usual Hours

 Worked Per Week in 1989, and Weeks Worked in 1989

Work Disabiltiy Status

 Civilian noninstitutionalized persons 16 years and over

 by Sex by Age by Mobility and Self-Care Limitation Status P68

Work Status in 1989

 Persons 16 years and over

 by Sex P75

 See also Employment Status

Work Status in 1989, Usual Hours Worked Per

 Week in 1989, and Weeks Worked in 1989

 Persons 16 years and over
 by Sex P76

 See also Employment Status

 See also Work Status in 1989

Workers in Family in 1989

 Families P112

 by Aggregate Family Income in 1989 P113

Year Householder Moved Into Unit

 Occupied housing units H28

 by Tenure H29

Year of Entry

 Foreign-born persons P36

Year Structure Built

 Housing units H25

 Occupied housing units

 by Plumbing Facilities by Persons Per Room H71

 by Tenure H27

 Vacant housing units H26

 See also Median Year Structure Built
TABLE (MATRIX) SECTION

Table Table

(matrix) Data dictionary Field Data (matrix)

number Table (matrix) reference name size type coordinates

P1. PERSONS(1) [1]

 Universe: Persons

 Total P0010001 9 N 1

P2. UNWEIGHTED SAMPLE COUNT OF PERSONS(1) [1]

 Universe: Persons

 Total P0020001 9 N 1

P3. 100 PERCENT COUNT OF PERSONS(1) [1]

 Universe: Persons

 Total P0030001 9 N 1

P3A.PERCENT OF PERSONS IN SAMPLE(1) [1]

 1 implied decimal(s)

 Universe: Persons

 Total P003A001 9 9 1

P4. FAMILIES(1) [1]

 Universe: Families

 Total P004001 9 N 1

P5. HOUSEHOLDS(1) [1]

 Universe: Households

 Total P0050001 9 N 1

P6. URBAN AND RURAL(4) [4]

 Universe: Persons

 Urban:

 Inside urbanized area P0060001 9 N 1

 Outside urbanized area P0060002 9 N 2

 Rural:

 Farm P0060003 9 N 3

 Nonfarm P0060004 9 N 4

P7. SEX(2) [2]

 Universe: Persons

 Male P0070001 9 N 1

 Female P0070002 9 N 2

P8. RACE(5) [5]

 Universe: Persons

 White P0080001 9 N 1

 Black P0080002 9 N 2

 American Indian, Eskimo, or Aleut P0080003 9 N 3

 Asian or Pacific Islander P0080004 9 N 4

 Other race P0080005 9 N 5

P9. RACE(25) [25]

 Universe: Persons

 White (800 869, 971) P0090001 9 N 1
 Black (870 934, 972) P0090002 9 N 2

 American Indian, Eskimo, or Aleut 

 (000 599, 935 970, 973 975):

 American Indian (000 599, 973) P0090003 9 N 3

 Eskimo (935 940, 974) P0090004 9 N 4

 Aleut (941 970, 975) P0090005 9 N 5

 Asian or Pacific Islander 

 (600 699, 976 985):

 Asian (600 652, 976, 977, 979 

 982, 985):

 Chinese (605 607, 976) P0090006 9 N 6

 Filipino (608, 977) P0090007 9 N 7

 Japanese (611, 981) P0090008 9 N 8

 Asian Indian (600, 982) P0090009 9 N 9

 Korean (612, 979) P0090010 9 N 10

 Vietnamese (619, 980) P0090011 9 N 11

 Cambodian (604) P0090012 9 N 12

 Hmong (609) P0090013 9 N 13

 Laotian (613) P0090014 9 N 14

 Thai (618) P0090015 9 N 15

 Other Asian (601 603, 610, 

 614 617, 620 652, 985) P0090016 9 N 16

 Pacific Islander (653 699, 978, 

 983, 984):

 Polynesian (653 659, 978, 983):

 Hawaiian (653, 654, 978) P0090017 9 N 17

 Samoan (655, 983) P0090018 9 N 18

 Tongan (657) P0090019 9 N 19

 Other Polynesian (656, 658, 

 659) P0090020 9 N 20

 Micronesian (660 675, 984):

 Guamanian (660, 984) P0090021 9 N 21

 Other Micronesian (661 675) P0090022 9 N 22

 Melanesian (676 680) P0090023 9 N 23

 Pacific Islander, not specified 

 (681 699) P0090024 9 N 24

 Other race (700 799, 986 999) P0090025 9 N 25

P10.PERSONS OF HISPANIC ORIGIN(1) [1]

 Universe: Persons of Hispanic origin

 Total P0100001 9 N 1

P11.HISPANIC ORIGIN(16) [16]

 Universe: Persons

 Not of Hispanic origin (000 001, 

 006 199) P0110001 9 N 1

 Hispanic origin (002 005, 200 999):

 Mexican (002, 210 220) P0110002 9 N 2

 Puerto Rican (003, 261 270) P0110003 9 N 3

 Cuban (004, 271 274) P0110004 9 N 4

 Other Hispanic (005, 200 209, 

 221 260, 275 999):

 Dominican (Dominican Republic) 

 (275 289) P0110005 9 N 5

 Central American (221 230):

 Guatemalan (222) P0110006 9 N 6

 Honduran (223) P0110007 9 N 7
 Nicaraguan (224) P0110008 9 N 8

 Panamanian (225) P0110009 9 N 9

 Salvadoran (226) P0110010 9 N 10

 Other Central American 

 (221, 227 230) P0110011 9 N 11

 South American (231 249):

 Colombian (234) P0110012 9 N 12

 Ecuadorian (235) P0110013 9 N 13

 Peruvian (237) P0110014 9 N 14

 Other South American 

 (231 233, 236, 238 249) P0110015 9 N 15

 Other Hispanic (005, 200 209, 

 250 260, 290 999) P0110016 9 N 16

P12. HISPANIC ORIGIN(2) BY RACE(5) [10]

 Universe: Persons

 Not of Hispanic origin:

 White P0120001 9 N 1,1

 Black P0120002 9 N 1,2

 American Indian, Eskimo, or Aleut P0120003 9 N 1,3

 Asian or Pacific Islander P0120004 9 N 1,4

 Other race P0120005 9 N 1,5

 Hispanic origin:

 (Repeat RACE) P0120006 45(1) N 2,1

P13. AGE(31) [31]

 Universe: Persons

 Under 1 year P0130001 9 N 1

 1 and 2 years P0130002 9 N 2

 3 and 4 years P0130003 9 N 3

 5 years P0130004 9 N 4

 6 years P0130005 9 N 5

 7 to 9 years P0130006 9 N 6

 10 and 11 years P0130007 9 N 7

 12 and 13 years P0130008 9 N 8

 14 years P0130009 9 N 9

 15 years P0130010 9 N 10

 16 years P0130011 9 N 11

 17 years P0130012 9 N 12

 18 years P0130013 9 N 13

 19 years P0130014 9 N 14

 20 years P0130015 9 N 15

 21 years P0130016 9 N 16

 22 to 24 years P0130017 9 N 17

 25 to 29 years P0130018 9 N 18

 30 to 34 years P0130019 9 N 19

 35 to 39 years P0130020 9 N 20

 40 to 44 years P0130021 9 N 21

 45 to 49 years P0130022 9 N 22

 50 to 54 years P0130023 9 N 23

 55 to 59 years P0130024 9 N 24

 60 and 61 years P0130025 9 N 25

 62 to 64 years P0130026 9 N 26

 65 to 69 years P0130027 9 N 27

 70 to 74 years P0130028 9 N 28

 75 to 79 years P0130029 9 N 29
 80 to 84 years P0130030 9 N 30

 85 years and over P0130031 9 N 31

P14A. RACE(1) BY SEX(1) BY AGE(31) [31]

 Universe: White males

 White:

 Male:

 Under 1 year P014A001 9 N 1,1,1

 1 and 2 years P014A002 9 N 1,1,2

 3 and 4 years P014A003 9 N 1,1,3

 5 years P014A004 9 N 1,1,4

 6 years P014A005 9 N 1,1,5

 7 to 9 years P014A006 9 N 1,1,6

 10 and 11 years P014A007 9 N 1,1,7

 12 and 13 years P014A008 9 N 1,1,8

 14 years P014A009 9 N 1,1,9

 15 years P014A010 9 N 1,1,10

 16 years P014A011 9 N 1,1,11

 17 years P014A012 9 N 1,1,12

 18 years P014A013 9 N 1,1,13

 19 years P014A014 9 N 1,1,14

 20 years P014A015 9 N 1,1,15

 21 years P014A016 9 N 1,1,16

 22 to 24 years P014A017 9 N 1,1,17

 25 to 29 years P014A018 9 N 1,1,18

 30 to 34 years P014A019 9 N 1,1,19

 35 to 39 years P014A020 9 N 1,1,20

 40 to 44 years P014A021 9 N 1,1,21

 45 to 49 years P014A022 9 N 1,1,22

 50 to 54 years P014A023 9 N 1,1,23

 55 to 59 years P014A024 9 N 1,1,24

 60 and 61 years P014A025 9 N 1,1,25

 62 to 64 years P014A026 9 N 1,1,26

 65 to 69 years P014A027 9 N 1,1,27

 70 to 74 years P014A028 9 N 1,1,28

 75 to 79 years P014A029 9 N 1,1,29

 80 to 84 years P014A030 9 N 1,1,30

 85 years and over P014A031 9 N 1,1,31

P14B. RACE(1) BY SEX(1) BY AGE(31) [31]

 Universe: White females

 White:

 Female:

 (Repeat AGE)(2) P014B001 279(1) N 1,1,1

P14C. RACE(1) BY SEX(1) BY AGE(31) [31]

 Universe: Black males

 Black:

 Male:

 (Repeat AGE)(2) P014C001 279(1) N 1,1,1

P14D. RACE(1) BY SEX(1) BY AGE(31) [31]

 Universe: Black females

 Black:

 Female:

 (Repeat AGE)(2) P014D001 279(1) N 1,1,1
P14E. RACE(1) BY SEX(1) BY AGE(31) [31]

 Universe: American Indian, Eskimo, or Aleut males

 American Indian, Eskimo, or Aleut:

 Male:

 (Repeat AGE)(2) P014E001 279(1) N 1,1,1

P14F. RACE(1) BY SEX(1) BY AGE(31) [31]

 Universe: American Indian, Eskimo, or 

 Aleut females

 American Indian, Eskimo, or Aleut:

 Female:

 (Repeat AGE)(2) P014F001 279(1) N 1,1,1

P14G. RACE(1) BY SEX(1) BY AGE(31) [31]

 Universe: Asian or Pacific Islander males

 Asian or Pacific Islander:

 Male:

 (Repeat AGE)(2) P014G001 279(1) N 1,1,1

P14H. RACE(1) BY SEX(1) BY AGE(31) [31]

 Universe: Asian or Pacific Islander females

 Asian or Pacific Islander:

 Female:

 (Repeat AGE)(2) P014H001 279(1) N 1,1,1

P14I. RACE(1) BY SEX(1) BY AGE(31) [31]

 Universe: Other race males

 Other race:

 Male:

 (Repeat AGE)(2) P014I001 279(1) N 1,1,1

P14J. RACE(1) BY SEX(1) BY AGE(31) [31]

 Universe: Other race females

 Other race:

 Female:

 (Repeat AGE)(2) P014J001 279(1) N 1,1,1

P15A. SEX(1)

 BY AGE(31) [31]

 Universe: Males of Hispanic origin

 Male:

 Under 1 year P015A001 9 N 1,1

 1 and 2 years P015A002 9 N 1,2

 3 and 4 years P015A003 9 N 1,3

 5 years P015A004 9 N 1,4

 6 years P015A005 9 N 1,5

 7 to 9 years P015A006 9 N 1,6

 10 and 11 years P015A007 9 N 1,7

 12 and 13 years P015A008 9 N 1,8

 14 years P015A009 9 N 1,9

 15 years P015A010 9 N 1,10

 16 years P015A011 9 N 1,11

 17 years P015A012 9 N 1,12

 18 years P015A013 9 N 1,13

 19 years P015A014 9 N 1,14

 20 years P015A015 9 N 1,15

 21 years P015A016 9 N 1,16
 22 to 24 years P015A017 9 N 1,17

 25 to 29 years P015A018 9 N 1,18

 30 to 34 years P015A019 9 N 1,19

 35 to 39 years P015A020 9 N 1,20

 40 to 44 years P015A021 9 N 1,21

 45 to 49 years P015A022 9 N 1,22

 50 to 54 years P015A023 9 N 1,23

 55 to 59 years P015A024 9 N 1,24

 60 and 61 years P015A025 9 N 1,25

 62 to 64 years P015A026 9 N 1,26

 65 to 69 years P015A027 9 N 1,27

 70 to 74 years P015A028 9 N 1,28

 75 to 79 years P015A029 9 N 1,29

 80 to 84 years P015A030 9 N 1,30

 85 years and over P015A031 9 N 1,31

P15B. SEX(1)

 BY AGE(31) [31]

 Universe: Females of Hispanic origin

 Female:

 (Repeat AGE)(2) P015B001 279(1) N 1,1

P16. PERSONS IN HOUSEHOLD(7) [7]

 Universe: Households

 1 person P0160001 9 N 1

 2 persons P0160002 9 N 2

 3 persons P0160003 9 N 3

 4 persons P0160004 9 N 4

 5 persons P0160005 9 N 5

 6 persons P0160006 9 N 6

 7 or more persons P0160007 9 N 7

P17. HOUSEHOLD TYPE AND RELATIONSHIP(15) [15]

 Universe: Persons

 In family households:

 Householder P0170001 9 N 1

 Spouse P0170002 9 N 2

 Child:

 Natural born or adopted P0170003 9 N 3

 Step P0170004 9 N 4

 Grandchild P0170005 9 N 5

 Other relatives P0170006 9 N 6

 Nonrelatives P0170007 9 N 7

 In nonfamily households:

 Male householder:

 Living alone P0170008 9 N 8

 Not living alone P0170009 9 N 9

 Female householder:

 Living alone P0170010 9 N 10

 Not living alone P0170011 9 N 11

 Nonrelatives P0170012 9 N 12

 In group quarters:

 Institutionalized persons P0170013 9 N 13

 Other persons in group quarters P0170014 9 N 14

 Filler P0170015 9 15
P18. HOUSEHOLD TYPE AND RELATIONSHIP(12) [12]

 Universe: Persons 65 years and over

 In family households:

 Householder P0180001 9 N 1

 Spouse P0180002 9 N 2

 Other relatives P0180003 9 N 3

 Nonrelatives P0180004 9 N 4

 In nonfamily households:

 Male householder:

 Living alone P0180005 9 N 5

 Not living alone P0180006 9 N 6

 Female householder:

 Living alone P0180007 9 N 7

 Not living alone P0180008 9 N 8

 Nonrelatives P0180009 9 N 9

 In group quarters:

 Institutionalized persons P0180010 9 N 10

 Other persons in group quarters P0180011 9 N 11

 Filler P0180012 9 12

P19. HOUSEHOLD TYPE AND PRESENCE AND AGE OF CHILDREN(7) [7]

 Universe: Households

 Family households:

 Married couple family:

 With own children under 18 years P0190001 9 N 1

 No own children under 18 years P0190002 9 N 2

 Other family:

 Male householder, no wife present:

 With own children under 18 

 years P0190003 9 N 3

 No own children under 18 years P0190004 9 N 4

 Female householder, no husband 

 present:

 With own children under 18 

 years P0190005 9 N 5

 No own children under 18 years P0190006 9 N 6

 Nonfamily households P0190007 9 N 7

P20. RACE OF HOUSEHOLDER(5) BY HOUSEHOLD

 TYPE AND PRESENCE AND AGE OF CHILDREN(7) [35]

 Universe: Households

 White:

 Family households:

 Married couple family:

 With own children under 18 

 years P0200001 9 N 1,1

 No own children under 18 years P0200002 9 N 1,2

 Other family:

 Male householder, no wife 

 present:

 With own children under 18 

 years P0200003 9 N 1,3

 No own children under 18 

 years P0200004 9 N 1,4

 Female householder, no husband 

 present:
 With own children under 18 

 years P0200005 9 N 1,5

 No own children under 18 

 years P0200006 9 N 1,6

 Nonfamily households P0200007 9 N 1,7

 Black:

 (Repeat HOUSEHOLD TYPE AND PRESENCE 

 AND AGE OF CHILDREN) P0200008 63(1) N 2,1

 American Indian, Eskimo, or Aleut:

 (Repeat HOUSEHOLD TYPE AND PRESENCE 

 AND AGE OF CHILDREN) P0200015 63(1) N 3,1

 Asian or Pacific Islander:

 (Repeat HOUSEHOLD TYPE AND PRESENCE 

 AND AGE OF CHILDREN) P0200022 63(1) N 4,1

 Other race:

 (Repeat HOUSEHOLD TYPE AND PRESENCE 

 AND AGE OF CHILDREN) P0200029 63(1) N 5,1

P21. HOUSEHOLD TYPE AND PRESENCE AND AGE OF CHILDREN(7) [7]

 Universe: Households with householder of Hispanic origin

 Family households:

 Married couple family:

 With own children under 18 years P0210001 9 N 1

 No own children under 18 years P0210002 9 N 2

 Other family:

 Male householder, no wife present:

 With own children under 18 

 years P0210003 9 N 3

 No own children under 18 years P0210004 9 N 4

 Female householder, no husband 

 present:

 With own children under 18 

 years P0210005 9 N 5

 No own children under 18 years P0210006 9 N 6

 Nonfamily households P0210007 9 N 7

P22. FAMILY TYPE AND PRESENCE AND AGE OF CHILDREN(6) [6]

 Universe: Families

 Married couple family:

 With children 18 years and over P0220001 9 N 1

 No children 18 years and over P0220002 9 N 2

 Other family:

 Male householder, no wife present:

 With children 18 years and over P0220003 9 N 3

 No children 18 years and over P0220004 9 N 4

 Female householder, no husband present:

 With children 18 years and over P0220005 9 N 5

 No children 18 years and over P0220006 9 N 6

P23. FAMILY TYPE AND AGE OF CHILDREN(21) [21]

 Universe: Own children under 18 years

 In married couple family:

 Under 3 years P0230001 9 N 1

 3 and 4 years P0230002 9 N 2

 5 years P0230003 9 N 3

 6 to 11 years P0230004 9 N 4

 12 and 13 years P0230005 9 N 5
 14 years P0230006 9 N 6

 15 to 17 years P0230007 9 N 7

 In other family:

 Male householder, no wife present:

 Under 3 years P0230008 9 N 8

 3 and 4 years P0230009 9 N 9

 5 years P0230010 9 N 10

 6 to 11 years P0230011 9 N 11

 12 and 13 years P0230012 9 N 12

 14 years P0230013 9 N 13

 15 to 17 years P0230014 9 N 14

 Female householder, no husband present:

 Under 3 years P0230015 9 N 15

 3 and 4 years P0230016 9 N 16

 5 years P0230017 9 N 17

 6 to 11 years P0230018 9 N 18

 12 and 13 years P0230019 9 N 19

 14 years P0230020 9 N 20

 15 to 17 years P0230021 9 N 21

P24. HOUSEHOLD TYPE(2) BY AGE OF HOUSEHOLDER(7) [14]

 Universe: Households

 Family households:

 15 to 24 years P0240001 9 N 1,1

 25 to 34 years P0240002 9 N 1,2

 35 to 44 years P0240003 9 N 1,3

 45 to 54 years P0240004 9 N 1,4

 55 to 64 years P0240005 9 N 1,5

 65 to 74 years P0240006 9 N 1,6

 75 years and over P0240007 9 N 1,7

 Nonfamily households:

 (Repeat AGE OF HOUSEHOLDER) P0240008 631 N 2,1

P25. SUBFAMILY TYPE AND PRESENCE AND AGE OF CHILDREN(4) [4]

 Universe: Subfamilies

 Married couple subfamily:

 With own children under 18 years P0250001 9 N 1

 No own children under 18 years P0250002 9 N 2

 Mother child subfamily P0250003 9 N 3

 Father child subfamily P0250004 9 N 4

P26. SUBFAMILY TYPE AND RELATIONSHIP(7) [7]

 Universe: Persons in subfamilies

 Persons in married couple subfamily:

 Reference person P0260001 9 N 1

 Spouse P0260002 9 N 2

 Child P0260003 9 N 3

 Persons in mother child subfamily:

 Parent P0260004 9 N 4

 Child P0260005 9 N 5

 Persons in father child subfamily:

 Parent P0260006 9 N 6

 Child P0260007 9 N 7

P27. SEX(2) BY MARITAL STATUS(6) [12]

 Universe: Persons 15 years and over

 Male:
 Never married P0270001 9 N 1,1

 Now married:

 Married, spouse present P0270002 9 N 1,2

 Married, spouse absent:

 Separated P0270003 9 N 1,3

 Other P0270004 9 N 1,4

 Widowed P0270005 9 N 1,5

 Divorced P0270006 9 N 1,6

 Female:

 (Repeat MARITAL STATUS) P0270007 541 N 2,1

P28. AGE(3) BY LANGUAGE SPOKEN AT HOME AND ABILITY TO

 SPEAK ENGLISH(10) [30]

 Universe: Persons 5 years and over

 5 to 17 years:

 Speak only English P0280001 9 N 1,1

 Speak Spanish:

 Speak English "very well" P0280002 9 N 1,2

 Speak English "well" P0280003 9 N 1,3

 Speak English "not well" 

 or "not at all" P0280004 9 N 1,4

 Speak Asian or Pacific Island language: 

 Speak English "very well" P0280005 9 N 1,5

 Speak English "well" P0280006 9 N 1,6

 Speak English "not well" 

 or "not at all" P0280007 9 N 1,7

 Speak other language:

 Speak English "very well" P0280008 9 N 1,8

 Speak English "well" P0280009 9 N 1,9

 Speak English "not well" 

 or "not at all" P0280010 9 N 1,10

 18 to 64 years:

 (Repeat LANGUAGE SPOKEN AT HOME AND ABILITY TO

 SPEAK ENGLISH) P0280011 90(1) N 2,1

 65 years and over:

 (Repeat LANGUAGE SPOKEN AT HOME AND ABILITY TO

 SPEAK ENGLISH) P0280021 90(1) N 3,1

P29. HOUSEHOLD LANGUAGE AND LINGUISTIC ISOLATION(7) [7]

 Universe: Households

 English P0290001 9 N 1

 Spanish:

 Linguistically isolated P0290002 9 N 2

 Not linguistically isolated P0290003 9 N 3

 Asian or Pacific Island language:

 Linguistically isolated P0290004 9 N 4

 Not linguistically isolated P0290005 9 N 5

 Other language:

 Linguistically isolated P0290006 9 N 6

 Not linguistically isolated P0290007 9 N 7

P30. AGE, LANGUAGE SPOKEN AT HOME, AND LINGUISTIC

 ISOLATION(33) [33]

 Universe: Persons 5 years and over

 Persons in households:

 5 to 13 years:

 Speak only English:
 Linguistically isolated:

 Spanish spoken in household P0300001 9 N 1

 Asian or Pacific Island 

 language spoken in 

 household P0300002 9 N 2

 Other language spoken in 

 household P0300003 9 N 3

 Not linguistically isolated P0300004 9 N 4

 Speak Spanish:

 Linguistically isolated P0300005 9 N 5

 Not linguistically isolated P0300006 9 N 6

 Speak Asian or Pacific Island 

 language:

 Linguistically isolated P0300007 9 N 7

 Not linguistically isolated P0300008 9 N 8

 Speak other language:

 Linguistically isolated P0300009 9 N 9

 Not linguistically isolated P0300010 9 N 10

 14 to 17 years:

 Speak only English P0300011 9 N 11

 Speak Spanish:

 Linguistically isolated P0300012 9 N 12

 Not linguistically isolated P0300013 9 N 13

 Speak Asian or Pacific Island 

 language:

 Linguistically isolated P0300014 9 N 14

 Not linguistically isolated P0300015 9 N 15

 Speak other language:

 Linguistically isolated P0300016 9 N 16

 Not linguistically isolated P0300017 9 N 17

 18 to 64 years:

 Speak only English P0300018 9 N 18

 Speak Spanish:

 Linguistically isolated P0300019 9 N 19

 Not linguistically isolated P0300020 9 N 20

 Speak Asian or Pacific Island 

 language:

 Linguistically isolated P0300021 9 N 21

 Not linguistically isolated P0300022 9 N 22

 Speak other language:

 Linguistically isolated P0300023 9 N 23

 Not linguistically isolated P0300024 9 N 24

 65 years and over:

 Speak only English P0300025 9 N 25

 Speak Spanish:

 Linguistically isolated P0300026 9 N 26

 Not linguistically isolated P0300027 9 N 27

 Speak Asian or Pacific Island 

 language:

 Linguistically isolated P0300028 9 N 28

 Not linguistically isolated P0300029 9 N 29

 Speak other language:

 Linguistically isolated P0300030 9 N 30

 Not linguistically isolated P0300031 9 N 31

 Persons in group quarters P0300032 9 N 32

 Filler P0300033 9 33
P31. LANGUAGE SPOKEN AT HOME(26) [26]

 Universe: Persons 5 years and over

 Speak only English P0310001 9 N 1

 German (607, 613) P0310002 9 N 2

 Yiddish (609) P0310003 9 N 3

 Other West Germanic language (608, 

 610 612) P0310004 9 N 4

 Scandinavian (614 618) P0310005 9 N 5

 Greek (637) P0310006 9 N 6

 Indic (662 678) P0310007 9 N 7

 Italian (619) P0310008 9 N 8

 French or French Creole (620 624) P0310009 9 N 9

 Portuguese or Portuguese Creole 

 (629 630) P0310010 9 N 10

 Spanish or Spanish Creole (625, 

 627 628) P0310011 9 N 11

 Polish (645) P0310012 9 N 12

 Russian (639) P0310013 9 N 13

 South Slavic (647 652) P0310014 9 N 14

 Other Slavic language (640 644, 646) P0310015 9 N 15

 Other Indo European language 

 (601 606, 626, 631 636,

 638, 653 661) P0310016 9 N 16

 Arabic (777) P0310017 9 N 17

 Tagalog (742) P0310018 9 N 18

 Chinese (708 715) P0310019 9 N 19

 Hungarian (682) P0310020 9 N 20

 Japanese (723) P0310021 9 N 21

 Mon Khmer (726) P0310022 9 N 22

 Korean (724) P0310023 9 N 23

 Native North American languages 

 (800 955, 959 966, 977 982) P0310024 9 N 24

 Vietnamese (728) P0310025 9 N 25

 Other and unspecified languages 

 (679 681, 683 707, 716 722, P0310026 9 N 26

 725, 727, 729 741, 743 776, 

 778 799, 956 958, 967 976, 983 999)

P32. ANCESTRY(4) [4]

 Universe: Persons

 Ancestry specified:

 Single ancestry P0320001 9 N 1

 Multiple ancestry P0320002 9 N 2

 Ancestry unclassified P0320003 9 N 3

 Ancestry not reported P0320004 9 N 4

P33. ANCESTRY(36) [36]

 Universe: Persons

 First ancestry reported (000 999):

 Arab (400 415, 417 418, 421 430, 

 435 481, 490 499) P0330001 9 N 1

 Austrian (003 004) P0330002 9 N 2

 Belgian (008 010) P0330003 9 N 3

 Canadian (931 934) P0330004 9 N 4

 Czech (111 114) P0330005 9 N 5

 Danish (020, 023) P0330006 9 N 6

 Dutch (021, 029) P0330007 9 N 7
 English (015, 022) P0330008 9 N 8

 Finnish (024 025) P0330009 9 N 9

 French (except Basque) 

 (000 001, 016, 026 028, 083 P0330010 9 N 10

 French Canadian (935 938) P0330011 9 N 11

 German (032 045) P0330012 9 N 12

 Greek (046 048) P0330013 9 N 13

 Hungarian (125 126) P0330014 9 N 14

 Irish (050, 081, 099) P0330015 9 N 15

 Italian (030 031, 051 074) P0330016 9 N 16

 Lithuanian (129) P0330017 9 N 17

 Norwegian (082) P0330018 9 N 18

 Polish (142 143) P0330019 9 N 19

 Portuguese (084 086) P0330020 9 N 20

 Romanian (144 147) P0330021 9 N 21

 Russian (148 151) P0330022 9 N 22

 Scotch Irish (087) P0330023 9 N 23

 Scottish (088) P0330024 9 N 24

 Slovak (153) P0330025 9 N 25

 Subsaharan African (500 599) P0330026 9 N 26

 Swedish (089 090) P0330027 9 N 27

 Swiss (091 096) P0330028 9 N 28

 Ukrainian (171 174) P0330029 9 N 29

 United States or American (939 994) P0330030 9 N 30

 Welsh (097) P0330031 9 N 31

 West Indian (excluding Hispanic 

 origin groups) (300 359) P0330032 9 N 32

 Yugoslavian (152, 154, 176 177) P0330032 9 N 33

 Race or Hispanic origin groups 

 (200 299, 900 928) P0330034 9 N 34

 Other groups (002, 005 007, 011 

 014, 017 019, 049, P0330035 9 N 35

 075 080, 098, 100 110, 115 124, 

 127 128, 130 141,155 170, 175, 

 178 199, 360 399, 416, 419 420,431 

 434, 482 489, 600 862, 929 930, 998)

 Unclassified or not reported 

 (863 899, 995 997, 999) P0330036 9 N 36

P34. ANCESTRY(36) [36]

 Universe: Persons

 Second ancestry reported (000 999):

 Arab (400 415, 417 418, 421 430, 

 435 481, 490 499) P0340001 9 N 1

 Austrian (003 004) P0340002 9 N 2

 Belgian (008 010) P0340003 9 N 3

 Canadian (931 934) P0340004 9 N 4

 Czech (111 114) P0340005 9 N 5

 Danish (020, 023) P0340006 9 N 6

 Dutch (021, 029) P0340007 9 N 7

 English (015, 022) P0340008 9 N 8

 Finnish (024 025) P0340009 9 N 9

 French (except Basque) (000 001, 

 016, 026 028, 083) P0340010 9 N 10

 French Canadian (935 938) P0340011 9 N 11

 German (032 045) P0340012 9 N 12

 Greek (046 048) P0340013 9 N 13
 Hungarian (125 126) P0340014 9 N 14

 Irish (050, 081, 099) P0340015 9 N 15

 Italian (030 031, 051 074) P0340016 9 N 16

 Lithuanian (129) P0340017 9 N 17

 Norwegian (082) P0340018 9 N 18

 Polish (142 143) P0340019 9 N 19

 Portuguese (084 086) P0340020 9 N 20

 Romanian (144 147) P0340021 9 N 21

 Russian (148 151) P0340022 9 N 22

 Scotch Irish (087) P0340023 9 N 23

 Scottish (088) P0340024 9 N 24

 Slovak (153) P0340025 9 N 25

 Subsaharan African (500 599) P0340026 9 N 26

 Swedish (089 090) P0340027 9 N 27

 Swiss (091 096) P0340028 9 N 28

 Ukrainian (171 174) P0340029 9 N 29

 United States or American (939 994) P0340030 9 N 30

 Welsh (097) P0340032 9 N 31

 West Indian (excluding Hispanic 

 origin groups) (300 359) P0340032 9 N 32

 Yugoslavian (152, 154, 176 177) P0340033 9 N 33

 Race or Hispanic origin groups 

 (200 299, 900 928) P0340034 9 N 34

 Other groups (002, 005 007, 011 

 014, 017 019, 049, P0340035 9 N 35

 075 080, 098, 100 110, 115 124, 

 127 128, 130 141,155 170, 175, 

 178 199, 360 399, 416, 419 420,

 431 434, 482 489, 600 862, 929 

 930, 998)

 Unclassified or not reported 

 (863 899, 995 997, 999) P0340036 9 N 36

P35. ANCESTRY(37) [37]

 Universe: Persons

 Reported single ancestry 

 (000 862, 900 994, 998):

 Arab (400 415, 417 418, 421 430, 

 435 481, 490 499) P0350001 9 N 1

 Austrian (003 004) P0350002 9 N 2

 Belgian (008 010) P0350003 9 N 3

 Canadian (931 934) P0350004 9 N 4

 Czech (111 114) P0350005 9 N 5

 Danish (020, 023) P0350006 9 N 6

 Dutch (021, 029) P0350007 9 N 7

 English (015, 022) P0350008 9 N 8

 Finnish (024 025) P0350009 9 N 9

 French (except Basque) 

 (000 001, 016, 026 028, 083) P0350010 9 N 10

 French Canadian (935 938) P0350011 9 N 11

 German (032 045) P0350012 9 N 12

 Greek (046 048) P0350013 9 N 13

 Hungarian (125 126) P0350014 9 N 14

 Irish (050, 081, 099) P0350015 9 N 15

 Italian (030 031, 051 074) P0350016 9 N 16

 Lithuanian (129) P0350017 9 N 17

 Norwegian (082) P0350018 9 N 18
 Polish (142 143) P0350019 9 N 19

 Portuguese (084 086) P0350020 9 N 20

 Romanian (144 147) P0350021 9 N 21

 Russian (148 151) P0350022 9 N 22

 Scotch Irish (087) P0350023 9 N 23

 Scottish (088) P0350024 9 N 24

 Slovak (153) P0350025 9 N 25

 Subsaharan African (500 599) P0350026 9 N 26

 Swedish (089 090) P0350027 9 N 27

 Swiss (091 096) P0350028 9 N 28

 Ukrainian (171 174) P0350029 9 N 29

 United States or American (939 994) P0350030 9 N 30

 Welsh (097) P0350031 9 N 31

 West Indian (excluding Hispanic 

 origin groups) (300 359) P0350032 9 N 32

 Yugoslavian (152, 154, 176 177) P0350033 9 N 33

 Race or Hispanic origin groups 

 (200 299, 900 928) P0350034 9 N 34

 Other groups (002, 005 007, 011 

 014, 017 019, 049, P0350035 9 N 35

 075 080, 098, 100 110, 115 124, 

 127 128, 130 141,155 170, 175, 178 

 199, 360 399, 416, 419 420,

 431 434, 482 489, 600 862, 929 

 930, 998)

 Reported multiple ancestry (000 998) P0350036 9 N 36

 Unclassified or not reported 

 (863 899, 995 997, 999) P0350037 9 N 37

P36. YEAR OF ENTRY(10) [10]

 Universe: Foreign born persons

 1987 to 1990 P0360001 9 N 1

 1985 or 1986 P0360002 9 N 2

 1982 to 1984 P0360003 9 N 3

 1980 or 1981 P0360004 9 N 4

 1975 to 1979 P0360005 9 N 5

 1970 to 1974 P0360006 9 N 6

 1965 to 1969 P0360007 9 N 7

 1960 to 1964 P0360008 9 N 8

 1950 to 1959 P0360009 9 N 9

 Before 1950 P0360010 9 N 10

P37. AGE(2)

 BY CITIZENSHIP(3) [6]

 Universe: Persons

 Under 18 years:

 Native P0370001 9 N 1,1

 Foreign born:

 Naturalized citizen P0370002 9 N 1,2

 Not a citizen P0370003 9 N 1,3

 18 years and over:

 (Repeat CITIZENSHIP) P0370004 27(1) N 2,1

P38. MARITAL STATUS(2) BY AGE(4) [8]

 Universe: Females 15 years and over

 Never married:

 15 to 24 years P0380001 9 N 1,1
 25 to 34 years P0380002 9 N 1,2

 35 to 44 years P0380003 9 N 1,3

 45 years and over P0380004 9 N 1,4

 Ever married:

 (Repeat AGE) P0380005 36(1) N 2,1

P39. AGGREGATE NUMBER OF CHILDREN EVER BORN(1) BY

 MARITAL STATUS(2) BY AGE(4) [8]

 Universe: Females 15 years and over

 Total:

 Never married:

 15 to 24 years P0390001 9 N 1,1,1

 25 to 34 years P0390002 9 N 1,1,2

 35 to 44 years P0390003 9 N 1,1,3

 45 years and over P0390004 9 N 1,1,4

 Ever married:

 (Repeat AGE) P0390005 36(1) N 1,2,1

P40. GROUP QUARTERS(10) [10]

 Universe: Persons in group quarters

 Institutionalized persons (00I 99I):

 Correctional institutions 

 (20I 24I, 27I, 28I, 95I) P0400001 9 N 1

 Nursing homes (60I 67I) P0400002 9 N 2

 Mental (Psychiatric) hospitals 

 (45I 48I) P0400003 9 N 3

 Juvenile institutions (01I 05I, 

 10I 12I, 15I) P0400004 9 N 4

 Other institutions (00I, 06I 09I, 

 13I, 14I, 16I 19I, P0400005 9 N 5

 25I, 26I, 29I 44I, 49I 59I, 68I 

 94I, 96I 99I)

 Other persons in group quarters (00N 99N):

 College dormitories (87N) P0400006 9 N 6

 Military quarters (96N 98N) P0400007 9 N 7

 Emergency shelters for homeless 

 persons (82N, 83N) P0400008 9 N 8

 Visible in street locations 

 (84N, 85N) P0400009 9 N 9

 Other noninstitutional group 

 quarters (00N 81N, P0400010 9 N 10

 86N, 88N 95N, 99N)

P41. GROUP QUARTERS(2) BY AGE(3) [6]

 Universe: Persons in group quarters

 Institutionalized persons:

 Under 18 years P0410001 9 N 1,1

 18 to 64 years P0410002 9 N 1,2

 65 years and over P0410003 9 N 1,3

 Other persons in group quarters:8451

 (Repeat AGE) P0410004 27(1) N 2,1

P42. PLACE OF BIRTH(9) [9]

 Universe: Persons

 Native (001 099):

 Born in State of residence P0420001 9 N 1

 Born in other State in the United 
 States (001 059):

 Northeast (009, 023, 025, 033 

 034, 036, 042 044, 050) P0420002 9 N 2

 Midwest (017 020, 026 027, 029, 

 031, 038 039, 046, 055) P0420003 9 N 3

 South (001, 005, 010 014, 021 

 022, 024, 028, P0420004 9 N 4

 037, 040, 045, 047 048, 051 

 052, 054)

 West (002 004, 006 008, 015 

 016, 030, 032, 035, P0420005 9 N 5

 041, 049, 053, 056 059)

 Born outside the United States (060 099):

 Puerto Rico (072 075) P0420006 9 N 6

 U.S. outlying area (060 071, 

 076 099) P0420007 9 N 7

 Born abroad of American parent(s) P0420008 9 N 8

 Foreign born (100 999) P0420009 9 N 9

P43. RESIDENCE IN 1985 STATE AND COUNTY LEVEL(10) [10]

 Universe: Persons 5 years and over

 Same house in 1985 P0430001 9 N 1

 Different house in United States 

 in 1985:

 Same county P0430002 9 N 2

 Different county:

 Same State P0430003 9 N 3

 Different State:

 Northeast P0430004 9 N 4

 Midwest P0430005 9 N 5

 South P0430006 9 N 6

 West P0430007 9 N 7

 Abroad in 1985:

 Puerto Rico P0430008 9 N 8

 U.S. outlying area P0430009 9 N 9

 Foreign country P0430010 9 N 10

P44. RESIDENCE IN 1985 MSA/PMSA LEVEL(12) [12]

 Universe: Persons 5 years and over

 Living in an MSA/PMSA in 1990:

 Same house in 1985 P0440001 9 N 1

 Different house in United States in 1985:

 This MSA/PMSA in 1985:

 Central city P0440002 9 N 2

 Remainder of this MSA/PMSA P0440003 9 N 3

 Different MSA/PMSA in 1985:

 Central city P0440004 9 N 4

 Remainder of different 

 MSA/PMSA P0440005 9 N 5

 Not in an MSA/PMSA in 1985 P0440006 9 N 6

 Abroad in 1985 P0440007 9 N 7

 Not living in an MSA/PMSA in 1990:

 Same house in 1985 P0440008 9 N 8

 Different house in United States in 1985:

 In an MSA/PMSA in 1985:

 Central city P0440009 9 N 9

 Remainder of MSA/PMSA P0440010 9 N 10
 Not in an MSA/PMSA in 1985 P0440011 9 N 11

 Abroad in 1985 P0440012 9 N 12

P45. PLACE OF WORK STATE AND COUNTY LEVEL(3) [3]

 Universe: Workers 16 years and over

 Worked in State of residence:

 Worked in county of residence P0450001 9 N 1

 Worked outside county of residence P0450002 9 N 2

 Worked outside State of residence P0450003 9 N 3

P46. PLACE OF WORK PLACE LEVEL(3) [3]

 Universe: Workers 16 years and over

 Living in a place:

 Worked in place of residence P0460001 9 N 1

 Worked outside place of residence P0460002 9 N 2

 Not living in a place P0460003 9 N 3

P47. PLACE OF WORK MSA/PMSA LEVEL(8) [8

 Universe: Workers 16 years and over

 Living in an MSA/PMSA:

 Worked in MSA/PMSA of residence:

 Central city P0470001 9 N 1

 Remainder of this MSA/PMSA P0470002 9 N 2

 Worked outside MSA/PMSA of residence:

 Worked in a different MSA/PMSA:

 Central city P0470003 9 N 3

 Remainder of different 

 MSA/PMSA P0460004 9 N 4

 Worked outside any MSA/PMSA P0470005 9 N 5

 Not living in an MSA/PMSA:

 Worked in an MSA/PMSA:

 Central city P0470006 9 N 6

 Remainder of MSA/PMSA P0470007 9 N 7

 Worked outside any MSA/PMSA P0470008 9 N 8

P48. PLACE OF WORK MINOR CIVIL DIVISION LEVEL(3) [3]

 Universe: Workers 16 years and over

 Living in the 9 Northeastern States:

 Worked in the minor civil division 

 of residence P0480001 9 N 1

 Worked outside minor civil division 

 of residence P0480002 9 N 2

 Not living in the 9 Northeastern 

 States P0480003 9 N 3

P49. MEANS OF TRANSPORTATION TO WORK(13) [13]

 Universe: Workers 16 years and over

 Car, truck, or van:

 Drove alone P0490001 9 N 1

 Carpooled P0490002 9 N 2

 Public transportation:9

 Bus or trolley bus P0490003 9 N 3

 Streetcar or trolley car P0490004 9 N 4

 Subway or elevated P0490005 9 N 5

 Railroad P0490006 9 N 6

 Ferryboat P0490007 9 N 7

 Taxicab P0490008 9 N 8
 Motorcycle P0490009 9 N 9

 Bicycle P0490010 9 N 10

 Walked P0490011 9 N 11

 Other means P0490012 9 N 12

 Worked at home P0490013 9 N 13

P50. TRAVEL TIME TO WORK(13) [13]

 Universe: Workers 16 years and over

 Did not work at home:

 Less than 5 minutes P0500001 9 N 1

 5 to 9 minutes P0500002 9 N 2

 10 to 14 minutes P0500003 9 N 3

 15 to 19 minutes P0500004 9 N 4

 20 to 24 minutes P0400005 9 N 5

 25 to 29 minutes P0500006 9 N 6

 30 to 34 minutes P0500007 9 N 7

 35 to 39 minutes P0400008 9 N 8

 40 to 44 minutes P0500009 9 N 9

 45 to 59 minutes P0500010 9 N 10

 60 to 89 minutes P0500011 9 N 11

 90 or more minutes P0500012 9 N 12

 Worked at home P0500013 9 N 13

P51. AGGREGATE TRAVEL TIME TO WORK (IN MINUTES)(1) [1]

 Universe: Workers 16 years and over 

 who did not work at home

 Total P0510001 9 N 1

P52. TIME LEAVING HOME TO GO TO WORK(15) [15]

 Universe: Workers 16 years and over

 Did not work at home:

 12:00 a.m. to 4:59 a.m. P0520001 9 N 1

 5:00 a.m. to 5:29 a.m. P0520002 9 N 2

 5:30 a.m. to 5:59 a.m. P0520003 9 N 3

 6:00 a.m. to 6:29 a.m. P0520004 9 N 4

 6:30 a.m. to 6:59 a.m. P0520005 9 N 5

 7:00 a.m. to 7:29 a.m. P0520006 9 N 6

 7:30 a.m. to 7:59 a.m. P0520007 9 N 7

 8:00 a.m. to 8:29 a.m. P0520008 9 N 8

 8:30 a.m. to 8:59 a.m. P0520009 9 N 9

 9:00 a.m. to 9:59 a.m. P0520010 9 N 10

 10:00 a.m. to 10:59 a.m. P0520011 9 N 11

 11:00 a.m. to 11:59 a.m. P0520012 9 N 12

 12:00 p.m. to 3:59 p.m. P0520013 9 N 13

 4:00 p.m. to 11:59 p.m. P0520014 9 N 14

 Worked at home P0520015 9 N 15

P53. PRIVATE VEHICLE OCCUPANCY(8) [8]

 Universe: Workers 16 years and over

 Car, truck, or van:

 Drove alone P0530001 9 N 1

 In 2 person carpool P0530002 9 N 2

 In 3 person carpool P0530003 9 N 3

 In 4 person carpool P0530004 9 N 4

 In 5 person carpool P0530005 9 N 5

 In 6 person carpool P0530006 9 N 6
 In 7 or more person carpool P0530007 9 N 7

 Other means P0530008 9 N 8

P54. SCHOOL ENROLLMENT AND TYPE OF SCHOOL(7) [7]

 Universe: Persons 3 years and over

 Enrolled in preprimary school:

 Public school P0540001 9 N 1

 Private school P0540002 9 N 2

 Enrolled in elementary or high school:

 Public school P0540003 9 N 3

 Private school P0540004 9 N 4

 Enrolled in college:

 Public school P0540005 9 N 5

 Private school P0540006 9 N 6

 Not enrolled in school P0540007 9 N 7

P55. RACE(5) BY SCHOOL ENROLLMENT(4) [20]

 Universe: Persons 3 years and over

 White:

 Enrolled in preprimary school P0550001 9 N 1,1

 Enrolled in elementary or high 

 school P0550002 9 N 1,2

 Enrolled in college P0550003 9 N 1,3

 Not enrolled in school P0550004 9 N 1,4

 Black:

 (Repeat SCHOOL ENROLLMENT) P0550005 361 N 2,1

 American Indian, Eskimo, or Aleut:

 (Repeat SCHOOL ENROLLMENT) P0550009 361 N 3,1

 Asian or Pacific Islander:

 (Repeat SCHOOL ENROLLMENT) P0550013 361 N 4,1

 Other race:

 (Repeat SCHOOL ENROLLMENT) P0550017 361 N 5,1

P56. SCHOOL ENROLLMENT(4) [4]

 Universe: Persons of Hispanic origin 3 years and over

 Enrolled in preprimary school P0560001 9 N 1

 Enrolled in elementary or high school P0560002 9 N 2

 Enrolled in college P0560003 9 N 3

 Not enrolled in school P0560004 9 N 4

P57. EDUCATIONAL ATTAINMENT(7) [7]

 Universe: Persons 25 years and over

 Less than 9th grade P0570001 9 N 1

 9th to 12th grade, no diploma P0570002 9 N 2

 High school graduate (includes 

 equivalency) P0570003 9 N 3

 Some college, no degree P0570004 9 N 4

 Associate degree P0570005 9 N 5

 Bachelor's degree P0570006 9 N 6

 Graduate or professional degree P0570007 9 N 7

P58. RACE(5) BY EDUCATIONAL ATTAINMENT(7) [35]

 Universe: Persons 25 years and over

 White:

 Less than 9th grade P0580001 9 N 1,1

 9th to 12th grade, no diploma P0580002 9 N 1,2

 High school graduate (includes 
 equivalency) P0580003 9 N 1,3

 Some college, no degree P0580004 9 N 1,4

 Associate degree P0580005 9 N 1,5

 Bachelor's degree P0580006 9 N 1,6

 Graduate or professional degree P0580007 9 N 1,7

 Black:

 (Repeat EDUCATIONAL ATTAINMENT) P0580008 63(1) N 2,1

 American Indian, Eskimo, or Aleut:

 (Repeat EDUCATIONAL ATTAINMENT) P0580015 631 N 3,1

 Asian or Pacific Islander:

 (Repeat EDUCATIONAL ATTAINMENT) P0580022 631 N 4,1

 Other race:

 (Repeat EDUCATIONAL ATTAINMENT) P0580029 631 N 5,1

P59. EDUCATIONAL ATTAINMENT(7) [7]

 Universe: Persons of Hispanic origin 25 years and over

 Less than 9th grade P0590001 9 N 1

 9th to 12th grade, no diploma P0590002 9 N 2

 High school graduate (includes 

 equivalency) P0590003 9 N 3

 Some college, no degree P0590004 9 N 4

 Associate degree P0590005 9 N 5

 Bachelor's degree P0590006 9 N 6

 Graduate or professional degree P0590007 9 N 7

P60. EDUCATIONAL ATTAINMENT(7) [7]

 Universe: Persons 18 years and over

 Less than 9th grade P0600001 9 N 1

 9th to 12th grade, no diploma P0600002 9 N 2

 High school graduate (includes 

 equivalency) P0600003 9 N 3

 Some college, no degree P0600004 9 N 4

 Associate degree P0600005 9 N 5

 Bachelor's degree P0600006 9 N 6

 Graduate or professional degree P0600007 9 N 7

P61. SCHOOL ENROLLMENT, EDUCATIONAL ATTAINMENT, AND

 EMPLOYMENT STATUS(13) [13]

 Universe: Persons 16 to 19 years

 In Armed Forces:

 Enrolled in school:

 High school graduate P0610001 9 N 1

 Not high school graduate P0610002 9 N 2

 Not enrolled in school:

 High school graduate P0610003 9 N 3

 Not high school graduate P0610004 9 N 4

 Civilian:

 Enrolled in school:

 Employed P0610005 9 N 5

 Unemployed P0610006 9 N 6

 Not in labor force P0610007 9 N 7

 Not enrolled in school:

 High school graduate:

 Employed P0610008 9 N 8

 Unemployed P0610009 9 N 9

 Not in labor force P0610010 9 N 10

 Not high school graduate:
 Employed P0610011 9 N 11

 Unemployed P0610012 9 N 12

 Not in labor force P0610013 9 N 13

 

1This field size includes all fields in the repeat within the table.

P62. RACE(5) BY SCHOOL ENROLLMENT, EDUCATIONAL

 ATTAINMENT, AND EMPLOYMENT STATUS(13) [65]

 Universe: Persons 16 to 19 years

 White:

 In Armed Forces:

 Enrolled in school:

 High school graduate P0620001 9 N 1,1

 Not high school graduate P0620002 9 N 1,2

 Not enrolled in school:

 High school graduate P0620003 9 N 1,3

 Not high school graduate P0620004 9 N 1,4

 Civilian:

 Enrolled in school:

 Employed P0620005 9 N 1,5

 Unemployed P0620006 9 N 1,6

 Not in labor force P0620007 9 N 1,7

 Not enrolled in school:

 High school graduate:

 Employed P0620008 9 N 1,8

 Unemployed P0620009 9 N 1,9

 Not in labor force P0620010 9 N 1,10

 Not high school graduate:

 Employed P0620011 9 N 1,11

 Unemployed P0620012 9 N 1,12

 Not in labor force P0620013 9 N 1,13

 Black:

 (Repeat SCHOOL ENROLLMENT, 

 EDUCATIONAL ATTAINMENT,AND

 EMPLOYMENT STATUS) P0620014 117(1) N 2,1

 American Indian, Eskimo, or Aleut:

 (Repeat SCHOOL ENROLLMENT, 

 EDUCATIONAL ATTAINMENT, AND 

 EMPLOYMENT STATUS) P0620027 117(1) N 3,1

 Asian or Pacific Islander:

 (Repeat SCHOOL ENROLLMENT, 

 EDUCATIONAL ATTAINMENT, AND 

 EMPLOYMENT STATUS) P0620040 117(1) N 4,1

 Other race:

 (Repeat SCHOOL ENROLLMENT, 

 EDUCATIONAL ATTAINMENT, AND 

 EMPLOYMENT STATUS) P0620053 117(1) N 5,1

P63. SCHOOL ENROLLMENT, EDUCATIONAL ATTAINMENT, 

 AND EMPLOYMENT STATUS(13) [13]

 Universe: Persons of Hispanic origin 

 16 to 19 years

 In Armed Forces:

 Enrolled in school:

 High school graduate P0630001 9 N 1

 Not high school graduate P0630002 9 N 2

 Not enrolled in school:
 High school graduate P0630003 9 N 3

 Not high school graduate P0530004 9 N 4

 Civilian:

 Enrolled in school:

 Employed P0630005 9 N 5

 Unemployed P0630006 9 N 6

 Not in labor force P0630007 9 N 7

 Not enrolled in school:

 High school graduate:

 Employed P0630008 9 N 8

 Unemployed P0630009 9 N 9

 Not in labor force P0630010 9 N 10

 Not high school graduate:

 Employed P0630011 9 N 11

 Unemployed P0630012 9 N 12

 Not in labor force P0630013 9 N 13

P64. SEX(2) BY AGE(2) BY VETERAN STATUS(3) [12]

 Universe: Persons 16 years and over

 Male:

 16 to 64 years:

 In Armed Forces P0640001 9 N 1,1,1

 Civilian:

 Veteran P0640002 9 N 1,1,2

 Nonveteran P0640003 9 N 1,1,3

 65 years and over:

 (Repeat VETERAN STATUS) P0640004 271 N 1,2,1

 Female:

 (Repeat AGE By VETERAN STATUS) P0640007 541 N 2,1,1

P65. PERIOD OF MILITARY SERVICE(13) [13]

 Universe: Civilian veterans 16 years and over

 May 1975 or later only:

 September 1980 or later only:

 With less than 2 years of service P0650001 9 N 1

 With 2 or more years of service P0650002 9 N 2

 May 1975 to August 1980 only P0650003 9 N 3

 Both, May 1975 to August 1980 and 

 September 1980 or later P0650004 9 N 4

 Vietnam era, no Korean conflict nor 

 World War II P0650005 9 N 5

 Vietnam era and Korean conflict, 

 no World War II P0650006 9 N 6

 Vietnam era, Korean conflict, and 

 World War II P0650007 9 N 7

 February 1955 to July 1964 only P0650008 9 N 8

 Korean conflict, no Vietnam era 

 nor World War II P0650009 9 N 9

 Korean conflict and World War II, 

 no Vietnam era P0650010 9 N 10

 World War II, no Korean conflict 

 nor Vietnam era P0650011 9 N 11

 World War I P0650012 9 N 12

 Other service P0650013 9 N 13
P66. SEX(2) BY AGE(2) BY WORK DISABILITY STATUS AND

 EMPLOYMENT STATUS(7) [28]

 Universe: Civilian noninstitutionalized 

 persons 16 years and over

 Male:

 16 to 64 years:

 With a work disability:

 In labor force:

 Employed P0660001 9 N 1,1,1

 Unemployed P0660002 9 N 1,1,2

 Not in labor force:

 Prevented from working P0660003 9 N 1,1,3

 Not prevented from working P0660004 9 N 1,1,4

 No work disability:

 In labor force:

 Employed P0660005 9 N 1,1,5

 Unemployed P0660006 9 N 1,1,6

 Not in labor force P0660007 9 N 1,1,7

 65 years and over:

 (Repeat WORK DISABILITY STATUS AND

 EMPLOYMENT STATUS) P0660008 631 N 1,2,1

 Female:

 (Repeat AGE By WORK DISABILITY STATUS AND

 EMPLOYMENT STATUS) P0660015 1261 N 2,1,1

P67. SEX(2) BY AGE(2) BY MOBILITY LIMITATION STATUS(2) BY

 EMPLOYMENT STATUS(3) [24]

 Universe: Civilian noninstitutionalized 

 persons 16 years and over

 Male:

 16 to 64 years:

 With a mobility limitation:

 In labor force:

 Employed P0670001 9 N 1,1,1,1

 Unemployed P0670002 9 N 1,1,1,2

 Not in labor force P0670003 9 N 1,1,1,3

 No mobility limitation:

 (Repeat EMPLOYMENT STATUS) P0670004 271 N 1,1,2,1

 65 years and over:

 (Repeat MOBILITY LIMITATION 

 STATUS By EMPLOYMENT STATUS) P0670007 541 N 1,2,1,1

 Female:

 (Repeat AGE By MOBILITY LIMITATION 

 STATUS By EMPLOYMENT STATUS) P0670013 1081 N 2,1,1,1

P68. SEX(2) BY AGE(2) BY WORK DISABILITY 

 STATUS(2) BY MOBILITY AND SELF CARE 

 LIMITATION STATUS(2) [16]

 Universe: Civilian noninstitutionalized 

 persons 16 years and over

 Male:

 16 to 64 years:

 With a work disability:

 With a mobility or self care 

 limitation P0680001 9 N 1,1,1,1

 No mobility or self care 

 limitation P0680002 9 N 1,1,1,2
 No work disability:

 (Repeat MOBILITY AND SELF 

 CARE LIMITATION STATUS) P0680003 18(1) N 1,1,2,1

 65 years and over:

 (Repeat WORK DISABILITY STATUS By 

 MOBILITY AND SELF CARE LIMITATION 

 STATUS) P0680005 36(1) N 1,2,1,1

 Female:

 (Repeat AGE By WORK DISABILITY 

 STATUS By MOBILITY AND SELF CARE 

 LIMITATION STATUS) P0680009 72(1) N 2,1,1,1

P69. SEX(2) BY AGE(3) BY MOBILITY AND SELF CARE

 LIMITATION STATUS(4) [24]

 Universe: Civilian noninstitutionalized 

 persons 16 years and over

 Male:

 16 to 64 years:

 With a mobility or self care 

 limitation:

 Mobility limitation only P0690001 9 N 1,1,1

 Self care limitation only P0690002 9 N 1,1,2

 Mobility and self care 

 limitation P0690003 9 N 1,1,3

 No mobility or self care 

 limitation P0690004 9 N 1,1,4

 65 to 74 years:

 (Repeat MOBILITY AND SELF CARE 

 LIMITATION

 STATUS) P0690005 36(1) N 1,2,1

 75 years and over:

 (Repeat MOBILITY AND SELF CARE 

 LIMITATION STATUS) P0690009 36(1) N 1,3,1

 Female:

 (Repeat AGE By MOBILITY AND SELF 

 CARE LIMITATION STATUS) P0690013 108(1) N 2,1,1

P70. SEX(2) BY EMPLOYMENT STATUS(4) [8]

 Universe: Persons 16 years and over

 Male:

 In labor force:

 In Armed Forces P0700001 9 N 1,1

 Civilian:

 Employed P0700002 9 N 1,2

 Unemployed P0700003 9 N 1,3

 Not in labor force P0700004 9 N 1,4

 Female:

 (Repeat EMPLOYMENT STATUS) P0700005 361 N 2,1

P71. RACE(5) BY SEX(2) BY EMPLOYMENT STATUS(4) [40]

 Universe: Persons 16 years and over

 White:

 Male:

 In labor force:

 In Armed Forces P0710001 9 N 1,1,1

 Civilian:

 Employed P0710002 9 N 1,1,2
 Unemployed P0710003 9 N 1,1,3

 Not in labor force P0710004 9 N 1,1,4

 Female:

 (Repeat EMPLOYMENT STATUS) P0710005 361 N 1,2,1

 Black:

 (Repeat SEX By EMPLOYMENT STATUS) P0710009 721 N 2,1,1

 American Indian, Eskimo, or Aleut:

 (Repeat SEX By EMPLOYMENT STATUS) P0710017 721 N 3,1,1

 Asian or Pacific Islander:

 (Repeat SEX By EMPLOYMENT STATUS) P0710025 721 N 4,1,1

 Other race:

 (Repeat SEX By EMPLOYMENT STATUS) P0710033 721 N 5,1,1

P72. SEX(2) BY EMPLOYMENT STATUS(4) [8]

 Universe: Persons of Hispanic origin 16 years and over

 Male:

 In labor force:

 In Armed Forces P0720001 9 N 1,1

 Civilian:

 Employed P0720002 9 N 1,2

 Unemployed P0720003 9 N 1,3

 Not in labor force P0720004 9 N 1,4

 Female:

 (Repeat EMPLOYMENT STATUS) P0720005 361 N 2,1

P73. PRESENCE AND AGE OF CHILDREN AND EMPLOYMENT

 STATUS(12) [12]

 Universe: Females 16 years and over

 With own children under 18 years:

 Under 6 years only:

 In labor force:

 Employed or in Armed Forces P0730001 9 N 1

 Unemployed P0730002 9 N 2

 Not in labor force P0730003 9 N 3

 6 to 17 years only:

 In labor force:

 Employed or in Armed Forces P0730004 9 N 4

 Unemployed P0730005 9 N 5

 Not in labor force P0730006 9 N 6

 Under 6 years and 6 to 17 years:

 In labor force:

 Employed or in Armed Forces P0730007 9 N 7

 Unemployed P0730008 9 N 8

 Not in labor force P0730009 9 N 9

 No own children under 18 years:

 In labor force:

 Employed or in Armed Forces P0730010 9 N 10

 Unemployed P0730011 9 N 11

 Not in labor force P0730012 9 N 12

P74. PRESENCE AND AGE OF CHILDREN(2) BY EMPLOYMENT

 STATUS OF PARENTS(8) [16]

 Universe: Own children under 18 years in 

 families and subfamilies

 Under 6 years:

 Living with two parents:

 Both parents in labor force P0740001 9 N 1,1
 Father only in labor force P0740002 9 N 1,2

 Mother only in labor force P0740003 9 N 1,3

 Neither parent in labor force P0740004 9 N 1,4

 Living with one parent:

 Living with father:

 In labor force P0740005 9 N 1,5

 Not in labor force P0740006 9 N 1,6

 Living with mother:

 In labor force P0740007 9 N 1,7

 Not in labor force P0740008 9 N 1,8

 6 to 17 years:

 (Repeat EMPLOYMENT STATUS OF 

 PARENTS) P0740009 72(1) N 2,1

P75. SEX(2) BY WORK STATUS IN 1989(2) [4]

 Universe: Persons 16 years and over

 Male:

 Worked in 1989 P0750001 9 N 1,1

 Did not work in 1989 P0750002 9 N 1,2

 Female:

 (Repeat WORK STATUS IN 1989) P0750003 18(1) N 2,1

P76. SEX(2) BY WORK STATUS IN 1989, 

 USUAL HOURS WORKED PER WEEK IN 1989, 

 AND WEEKS WORKED IN 1989(19) [38]

 Universe: Persons 16 years and over

 Male:

 Worked in 1989:

 Usually worked 35 or more hours per week:

 50 to 52 weeks P0760001 9 N 1,1

 48 to 49 weeks P0760002 9 N 1,2

 40 to 47 weeks P0760003 9 N 1,3

 27 to 39 weeks P0760004 9 N 1,4

 14 to 26 weeks P0760005 9 N 1,5

 1 to 13 weeks P0760006 9 N 1,6

 Usually worked 15 to 34 hours per week:

 50 to 52 weeks P0760007 9 N 1,7

 48 to 49 weeks P0760008 9 N 1,8

 40 to 47 weeks P0760009 9 N 1,9

 27 to 39 weeks P0760010 9 N 1,10

 14 to 26 weeks P0760011 9 N 1,11

 1 to 13 weeks P0760012 9 N 1,12

 Usually worked 1 to 14 hours per week:

 50 to 52 weeks P0760013 9 N 1,13

 48 to 49 weeks P0760014 9 N 1,14

 40 to 47 weeks P0760015 9 N 1,15

 27 to 39 weeks P0760016 9 N 1,16

 14 to 26 weeks P0760017 9 N 1,17

 1 to 13 weeks P0760018 9 N 1,18

 Did not work in 1989 P0760019 9 N 1,19

 Female:

 (Repeat WORK STATUS IN 1989, USUAL 

 HOURS WORKED PER WEEK IN 1989, AND 

 WEEKS WORKED IN 1989) P0760020 171(1) N 2,1
P77. INDUSTRY(17) [17]

 Universe: Employed persons 16 years 

 and over

 Agriculture, forestry, and fisheries 

 (000 039) P0770001 9 N 1

 Mining (040 059) P0770002 9 N 2

 Construction (060 099) P0770003 9 N 3

 Manufacturing, nondurable goods 

 (100 229) P0770004 9 N 4

 Manufacturing, durable goods (230 399) P0770005 9 N 5

 Transportation (400 439) P0770006 9 N 6

 Communications and other public 

 utilities (440 499) P0770007 9 N 7

 Wholesale trade (500 579) P0770008 9 N 8

 Retail trade (580 699) P0770009 9 N 9

 Finance, insurance, and real estate 

 (700 720) P0770010 9 N 10

 Business and repair services (721 760) P0770011 9 N 11

 Personal services (761 799) P0770012 9 N 12

 Entertainment and recreation services 

 (800 811) P0770013 9 N 13

 Professional and related services (812 899):

 Health services (812 840) P0770014 9 N 14

 Educational services (842 860) P0770015 9 N 15

 Other professional and related 

 services (841, 861 899) P0770016 9 N 16

 Public administration (900 939) P0770017 9 N 17

P78. OCCUPATION(13) [13]

 Universe: Employed persons 16 years 

 and over

 Managerial and professional specialty 

 occupations (000 202):

 Executive, administrative, and 

 managerial occupations (000 042) P0780001 9 N 1

 Professional specialty occupations 

 (043 202) P0780002 9 N 2

 Technical, sales, and administrative 

 support occupations (203 402):

 Technicians and related support 

 occupations (203 242) P0780003 9 N 3

 Sales occupations (243 302) P0780004 9 N 4

 Administrative support occupations, 

 including clerical (303 402) P0780005 9 N 5

 Service occupations (403 472):

 Private household occupations 

 (403 412) P0780006 9 N 6

 Protective service occupations 

 (413 432) P0780007 9 N 7

 Service occupations, except 

 protective and household (433 472) P0760008 9 N 8

 Farming, forestry, and fishing 

 occupations (473 502) P0780009 9 N 9

 Precision production, craft, and 

 repair occupations (503 702) P0780010 9 N 10

 Operators, fabricators, and laborers 

 (703 902):
 Machine operators, assemblers, and 

 inspectors (703 802) P0780011 9 N 11

 Transportation and material moving 

 occupations (803 863) P0780012 9 N 12

 Handlers, equipment cleaners, 

 helpers, and laborers (864 902) P0780013 9 N 13

P79. CLASS OF WORKER(7) [7]

 Universe: Employed persons 16 

 years and over

 Private for profit wage and salary 

 workers P0790001 9 N 1

 Private not for profit wage and salary 

 workers P0790002 9 N 2

 Local government workers P0790003 9 N 3

 State government workers P0790004 9 N 4

 Federal government workers P0790005 9 N 5

 Self employed workers P0790006 9 N 6

 Unpaid family workers P0790007 9 N 7

P80. HOUSEHOLD INCOME IN 1989(25) [25]

 Universe: Households

 Less than $5,000 P0800001 9 N 1

 $5,000 to $9,999 P0800002 9 N 2

 $10,000 to $12,499 P0800003 9 N 3

 $12,500 to $14,999 P0800004 9 N 4

 $15,000 to $17,499 P0800005 9 N 5

 $17,500 to $19,999 P0800006 9 N 6

 $20,000 to $22,499 P0800007 9 N 7

 $22,500 to $24,999 P0800008 9 N 8

 $25,000 to $27,499 P0800009 9 N 9

 $27,500 to $29,999 P0800010 9 N 10

 $30,000 to $32,499 P0800011 9 N 11

 $32,500 to $34,999 P0800012 9 N 12

 $35,000 to $37,499 P0800013 9 N 13

 $37,500 to $39,999 P0800014 9 N 14

 $40,000 to $42,499 P0800015 9 N 15

 $42,500 to $44,999 P0800016 9 N 16

 $45,000 to $47,499 P0800017 9 N 17

 $47,500 to $49,999 P0800018 9 N 18

 $50,000 to $54,999 P0800019 9 N 19

 $55,000 to $59,999 P0800020 9 N 20

 $60,000 to $74,999 P0800021 9 N 21

 $75,000 to $99,999 P0800022 9 N 22

 $100,000 to $124,999 P0800023 9 N 23

 $125,000 to $149,999 P0800024 9 N 24

 $150,000 or more P0800025 9 N 25

P80A. MEDIAN HOUSEHOLD INCOME IN 1989(1) [1]

 Universe: Households

 Median household income in 1989 P080A001 9 N 1

P81. AGGREGATE HOUSEHOLD INCOME IN 1989(2) [2]

 Universe: Households

 Total:

 Less than $150,000 P0810001 9 N 1

 $150,000 or more P0810002 9 N 2
P82. RACE OF HOUSEHOLDER(5) BY HOUSEHOLD 

 INCOME IN 1989(9) [45]

 Universe: Households

 White:

 Less than $5,000 P0820001 9 N 1,1

 $5,000 to $9,999 P0820002 9 N 1,2

 $10,000 to $14,999 P0820003 9 N 1,3

 $15,000 to $24,999 P0820004 9 N 1,4

 $25,000 to $34,999 P0820005 9 N 1,5

 $35,000 to $49,999 P0820006 9 N 1,6

 $50,000 to $74,999 P0820007 9 N 1,7

 $75,000 to $99,999 P0820008 9 N 1,8

 $100,000 or more P0820009 9 N 1,9

 Black:

 (Repeat HOUSEHOLD INCOME IN 1989) P0820010 811 N 2,1

 American Indian, Eskimo, or Aleut:

 (Repeat HOUSEHOLD INCOME IN 1989) P0820019 811 N 3,1

 Asian or Pacific Islander:

 (Repeat HOUSEHOLD INCOME IN 1989) P0820028 811 N 4,1

 Other race:

 (Repeat HOUSEHOLD INCOME IN 1989) P0820037 811 N 5,1

P83. HOUSEHOLD INCOME IN 1989(9) [9]

 Universe: Households with householder 

 of Hispanic origin

 Less than $5,000 P0830001 9 N 1

 $5,000 to $9,999 P0830002 9 N 2

 $10,000 to $14,999 P0830003 9 N 3

 $15,000 to $24,999 P0830004 9 N 4

 $25,000 to $34,999 P0830005 9 N 5

 $35,000 to $49,999 P0830006 9 N 6

 $50,000 to $74,999 P0830007 9 N 7

 $75,000 to $99,999 P0830008 9 N 8

 $100,000 or more P0830009 9 N 9

P84. AGGREGATE HOUSEHOLD INCOME IN 1989(1) 

 BY RACE OF HOUSEHOLDER(5) [5]

 Universe: Households

 Total:

 White P0840001 9 N 1,1

 Black P0840002 9 N 1,2

 American Indian, Eskimo, or Aleut P0840003 9 N 1,3

 Asian or Pacific Islander P0840004 9 N 1,4

 Other race P0840005 9 N 1,5

P85. AGGREGATE HOUSEHOLD INCOME IN 1989(1) [1]

 Universe: Households with householder 

 of Hispanic origin

 Total P0850001 9 N 1

P86. AGE OF HOUSEHOLDER(7) BY HOUSEHOLD 

 INCOME IN 1989(9) [63]

 Universe: Households

 Under 25 years:

 Less than $5,000 P0860001 9 N 1,1

 $5,000 to $9,999 P0860002 9 N 1,2
 $10,000 to $14,999 P0860003 9 N 1,3

 $15,000 to $24,999 P0860004 9 N 1,4

 $25,000 to $34,999 P0860005 9 N 1,5

 $35,000 to $49,999 P0860006 9 N 1,6

 $50,000 to $74,999 P0860007 9 N 1,7

 $75,000 to $99,999 P0860008 9 N 1,8

 $100,000 or more P0860009 9 N 1,9

 25 to 34 years:

 (Repeat HOUSEHOLD INCOME IN 1989) P0860010 811 N 2,1

 35 to 44 years:

 (Repeat HOUSEHOLD INCOME IN 1989) P0860019 811 N 3,1

 45 to 54 years:

 (Repeat HOUSEHOLD INCOME IN 1989) P0860028 811 N 4,1

 55 to 64 years:

 (Repeat HOUSEHOLD INCOME IN 1989) P0860037 811 N 5,1

 65 to 74 years:

 (Repeat HOUSEHOLD INCOME IN 1989) P0860046 811 N 6,1

 75 years and over:

 (Repeat HOUSEHOLD INCOME IN 1989) P0860055 811 N 7,1

P87A. RACE OF HOUSEHOLDER(1) BY AGE OF HOUSEHOLDER(7)

 BY HOUSEHOLD INCOME IN 1989(9) [63]

 Universe: White households

 White:

 Under 25 years:

 Less than $5,000 P087A001 9 N 1,1,1

 $5,000 to $9,999 P087A002 9 N 1,1,2

 $10,000 to $14,999 P087A003 9 N 1,1,3

 $15,000 to $24,999 P087A004 9 N 1,1,4

 $25,000 to $34,999 P087A005 9 N 1,1,5

 $35,000 to $49,999 P087A006 9 N 1,1,6

 $50,000 to $74,999 P087A007 9 N 1,1,7

 $75,000 to $99,999 P087A008 9 N 1,1,8

 $100,000 or more P087A009 9 N 1,1,9

 25 to 34 years:

 (Repeat HOUSEHOLD INCOME IN 1989) P087A010 81(1) N 1,2,1

 35 to 44 years:

 (Repeat HOUSEHOLD INCOME IN 1989) P087A019 81(1) N 1,3,1

 45 to 54 years:

 (Repeat HOUSEHOLD INCOME IN 1989) P087A028 81(1) N 1,4,1

 55 to 64 years:

 (Repeat HOUSEHOLD INCOME IN 1989) P087A037 81(1) N 1,5,1

 65 to 74 years:

 (Repeat HOUSEHOLD INCOME IN 1989) P087A046 81(1) N 1,6,1

 75 years and over:

 (Repeat HOUSEHOLD INCOME IN 1989) P087A055 81(1) N 1,7,1

P87B. RACE OF HOUSEHOLDER(1) BY AGE OF HOUSEHOLDER(7)

 BY HOUSEHOLD INCOME IN 1989(9) [63]

 Universe: Black households

 Black:

 (Repeat AGE OF HOUSEHOLDER By HOUSEHOLD

 INCOME IN 1989)(2) P087B001 567(1) N 1,1,1
P87C. RACE OF HOUSEHOLDER(1) BY AGE OF HOUSEHOLDER(7)

 BY HOUSEHOLD INCOME IN 1989(9) [63]

 Universe: American Indian, Eskimo, or 

 Aleut households

 American Indian, Eskimo, or Aleut:

 (Repeat AGE OF HOUSEHOLDER By 

 HOUSEHOLD INCOME IN 1989)(2) P087C001 567(1) N 1,1,1

P87D. RACE OF HOUSEHOLDER(1) BY AGE OF HOUSEHOLDER(7)

 BY HOUSEHOLD INCOME IN 1989(9) [63]

 Universe: Asian or Pacific Islander 

 households

 Asian or Pacific Islander:

 (Repeat AGE OF HOUSEHOLDER By 

 HOUSEHOLD INCOME IN 1989)(2) P087D001 5671 N 1,1,1

P87E. RACE OF HOUSEHOLDER(1) BY AGE OF HOUSEHOLDER(7)

 BY HOUSEHOLD INCOME IN 1989(9) [63]

 Universe: Other race households

 Other race:

 (Repeat AGE OF HOUSEHOLDER By 

 HOUSEHOLD INCOME IN 1989)(2) P087E001 5671 N 1,1,1

P88. AGE OF HOUSEHOLDER(7) BY HOUSEHOLD INCOME

 IN 1989(9) [63]

 Universe: Households with householder 

 of Hispanic origin

 Under 25 years:

 Less than $5,000 P0880001 9 N 1,1

 $5,000 to $9,999 P0880002 9 N 1,2

 $10,000 to $14,999 P0880003 9 N 1,3

 $15,000 to $24,999 P0880004 9 N 1,4

 $25,000 to $34,999 P0880005 9 N 1,5

 $35,000 to $49,999 P0880006 9 N 1,6

 $50,000 to $74,999 P0880007 9 N 1,7

 $75,000 to $99,999 P0880008 9 N 1,8

 $100,000 or more P0880009 9 N 1,9

 25 to 34 years:

 (Repeat HOUSEHOLD INCOME IN 1989) P0880010 811 N 2,1

 35 to 44 years:

 (Repeat HOUSEHOLD INCOME IN 1989) P0880019 811 N 3,1

 45 to 54 years:

 (Repeat HOUSEHOLD INCOME IN 1989) P0880028 811 N 4,1

 55 to 64 years:

 (Repeat HOUSEHOLD INCOME IN 1989) P0880037 811 N 5,1

 65 to 74 years:

 (Repeat HOUSEHOLD INCOME IN 1989) P0880046 811 N 6,1

 75 years and over:

 (Repeat HOUSEHOLD INCOME IN 1989) P0880055 811 N 7,1

P89. EARNINGS IN 1989(2) [2]

 Universe: Households

 With earnings P0890001 9 N 1

 No earnings P0890002 9 N 2

P90. WAGE OR SALARY INCOME IN 1989(2) [2]

 Universe: Households
 With wage or salary income P0900001 9 N 1

 No wage or salary income P0900002 9 N 2

P91. NONFARM SELF EMPLOYMENT INCOME IN 1989(2) [2]

 Universe: Households

 With nonfarm self employment income P0910001 9 N 1

 No nonfarm self employment income P0910002 9 N 2

P92. FARM SELF EMPLOYMENT INCOME IN 1989(2) [2]

 Universe: Households

 With farm self employment income P0920001 9 N 1

 No farm self employment income P0920002 9 N 2

P93. INTEREST, DIVIDEND, OR NET RENTAL 

 INCOME IN 1989(2) [2]

 Universe: Households

 With interest, dividend, or net 

 rental income P0930001 9 N 1

 No interest, dividend, or net 

 rental income P0930002 9 N 2

P94. SOCIAL SECURITY INCOME IN 1989(2) [2]

 Universe: Households

 With Social Security income P0940001 9 N 1

 No Social Security income P0940002 9 N 2

P95. PUBLIC ASSISTANCE INCOME IN 1989(2) [2]

 Universe: Households

 With public assistance income P0950001 9 N 1

 No public assistance income P0950002 9 N 2

P96. RETIREMENT INCOME IN 1989(2) [2]

 Universe: Households

 With retirement income P0960001 9 N 1

 No retirement income P0960002 9 N 2

P97. OTHER TYPE OF INCOME IN 1989(2) [2]

 Universe: Households

 With other income P0970001 9 N 1

 No other income P0970002 9 N 2

P98. AGGREGATE WAGE OR SALARY INCOME IN 1989(1) [1]

 Universe: Households

 Total P0980001 9 N 1

P99. AGGREGATE NONFARM SELF EMPLOYMENT INCOME IN

 1989(1) [1]

 Universe: Households

 Total P0990001 9 N 1

P100. AGGREGATE FARM SELF EMPLOYMENT INCOME IN

 1989(1) [1]

 Universe: Households

 Total P1000001 9 N 1
P101. AGGREGATE INTEREST, DIVIDEND, OR NET

 RENTAL INCOME IN 1989(1) [1]

 Universe: Households

 Total P1010001 9 N 1

P102. AGGREGATE SOCIAL SECURITY INCOME IN 1989(1) [1]

 Universe: Households

 Total P1020001 9 N 1

P103. AGGREGATE PUBLIC ASSISTANCE INCOME IN 1989(1) [1]

 Universe: Households

 Total P1030001 9 N 1

P104. AGGREGATE RETIREMENT INCOME IN 1989(1) [1]

 Universe: Households

 Total P1040001 9 N 1

P105. AGGREGATE OTHER TYPE OF INCOME IN 1989(1) [1]

 Universe: Households

 Total P1050001 9 N 1

P106. AGGREGATE PERSONS IN HOUSEHOLDS(1) BY PUBLIC

 ASSISTANCE INCOME IN 1989(2) BY AGE(3) [6]

 Universe: Persons in households

 Total:

 With public assistance income:

 Under 15 years P1060001 9 N 1,1,1

 15 to 64 years P1060002 9 N 1,1,2

 65 years and over P1060003 9 N 1,1,3

 No public assistance income:

 (Repeat AGE) P1060004 27(1) N 1,2,1

P107. FAMILY INCOME IN 1989(25) [25]

 Universe: Families

 Less than $5,000 P1070001 9 N 1

 $5,000 to $9,999 P1070002 9 N 2

 $10,000 to $12,499 P1070003 9 N 3

 $12,500 to $14,999 P1070004 9 N 4

 $15,000 to $17,499 P1070005 9 N 5

 $17,500 to $19,999 P1070006 9 N 6

 $20,000 to $22,499 P1070007 9 N 7

 $22,500 to $24,999 P1070008 9 N 8

 $25,000 to $27,499 P1070009 9 N 9

 $27,500 to $29,999 P1070010 9 N 10

 $30,000 to $32,499 P1070011 9 N 11

 $32,500 to $34,999 P1070012 9 N 12

 $35,000 to $37,499 P1070013 9 N 13

 $37,500 to $39,999 P1070014 9 N 14

 $40,000 to $42,499 P1070015 9 N 15

 $42,500 to $44,999 P1070016 9 N 16

 $45,000 to $47,499 P1070017 9 N 17

 $47,500 to $49,999 P1070018 9 N 18

 $50,000 to $54,999 P1070019 9 N 19

 $55,000 to $59,999 P1070020 9 N 20

 $60,000 to $74,999 P1070021 9 N 21

 $75,000 to $99,999 P1070022 9 N 22

 $100,000 to $124,999 P1070023 9 N 23
 $125,000 to $149,999 P1070024 9 N 24

 $150,000 or more P1070025 9 N 25

P107A. MEDIAN FAMILY INCOME IN 1989(1) [1]

 Universe: Families

 Median family income in 1989 P107A001 9 N 1

P108. AGGREGATE FAMILY INCOME IN 1989(1) BY

 FAMILY INCOME IN 1989(2) [2]

 Universe: Families

 Total:

 Less than $150,000 P1080001 9 N 1,1

 $150,000 or more P1080002 9 N 1,2

P109. AGGREGATE FAMILY INCOME IN 1989(1) BY FAMILY

 TYPE AND PRESENCE AND AGE OF CHILDREN(6) [6]

 Universe: Families

 Total:

 Married couple family:

 With own children under 18 years P1090001 9 N 1,1

 No own children under 18 years P1090002 9 N 1,2

 Other family:

 Male householder, no wife present:

 With own children under 18 

 years P1090003 9 N 1,3

 No own children under 18 years P1090004 9 N 1,4

 Female householder, no husband 

 present:

 With own children under 18 

 years P1090005 9 N 1,5

 No own children under 18 years P1090006 9 N 1,6

P110. NONFAMILY HOUSEHOLD INCOME IN 1989(25) [25]

 Universe: Nonfamily households

 Less than $5,000 P1100001 9 N 1

 $5,000 to $9,999 P1100002 9 N 2

 $10,000 to $12,499 P1100003 9 N 3

 $12,500 to $14,999 P1100004 9 N 4

 $15,000 to $17,499 P1100005 9 N 5

 $17,500 to $19,999 P1100006 9 N 6

 $20,000 to $22,499 P1100007 9 N 7

 $22,500 to $24,999 P1100008 9 N 8

 $25,000 to $27,499 P1100009 9 N 9

 $27,500 to $29,999 P1100010 9 N 10

 $30,000 to $32,499 P1100011 9 N 11

 $32,500 to $34,999 P1100012 9 N 12

 $35,000 to $37,499 P1100013 9 N 13

 $37,500 to $39,999 P1100014 9 N 14

 $40,000 to $42,499 P1100015 9 N 15

 $42,500 to $44,999 P1100016 9 N 16

 $45,000 to $47,499 P1100017 9 N 17

 $47,500 to $49,999 P1100018 9 N 18

 $50,000 to $54,999 P1100019 9 N 19

 $55,000 to $59,999 P1100020 9 N 20

 $60,000 to $74,999 P1100021 9 N 21

 $75,000 to $99,999 P1100022 9 N 22

 $100,000 to $124,999 P1100023 9 N 23
 $125,000 to $149,999 P1100024 9 N 24

 $150,000 or more P1100025 9 N 25

P110A. MEDIAN NONFAMILY HOUSEHOLD INCOME 

 IN 1989(1) [1]

 Universe: Nonfamily households

 Median nonfamily household income 

 in 1989 P110A001 9 N 1

P111. AGGREGATE NONFAMILY HOUSEHOLD INCOME IN 1989(1) BY

 NONFAMILY HOUSEHOLD INCOME IN 1989(2) [2]

 Universe: Nonfamily households

 Total:

 Less than $150,000 P1110001 9 N 1,1

 $150,000 or more P1110002 9 N 1,2

P112. WORKERS IN FAMILY IN 1989(4) [4]

 Universe: Families

 No workers P1120001 9 N 1

 1 worker P1120002 9 N 2

 2 workers P1120003 9 N 3

 3 or more workers P1120004 9 N 4

P113. AGGREGATE FAMILY INCOME IN 1989(1) BY WORKERS

 IN FAMILY IN 1989(4) [4]

 Universe: Families

 Total:

 No workers P1130001 9 N 1,1

 1 worker P1130002 9 N 1,2

 2 workers P1130003 9 N 1,3

 3 or more workers P1130004 9 N 1,4

P114. AGGREGATE INCOME IN 1989(1) BY GROUP QUARTERS(3) [3]

 Universe: Persons 15 years and over

 Total:

 In households P1140001 9 N 1,1

 In group quarters:

 Institutionalized persons P1140002 9 N 1,2

 Other persons in group quarters P1140003 9 N 1,3

 Filler P1140004 9 1,4

P114A. PER CAPITA INCOME IN 1989(1) [1]

 Universe: Persons

 Per capita income in 1989 P114A001 9 N 1

P114B. PER CAPITA INCOME IN 1989(1) BY GROUP QUARTERS(3) [3]

 Universe: Persons

 Per capita income in 1989:

 In households P114B001 9 N 1,1

 In group quarters:

 Institutionalized persons P114B002 9 N 1,2

 Other persons in group quarters P114B003 9 N 1,3

 Filler P114B004 9 1,4

P115. AGGREGATE INCOME IN 1989(1) BY RACE(5) [5]

 Universe: Persons 15 years and over
 Total:

 White P1150001 9 N 1,1

 Black P1150002 9 N 1,2

 American Indian, Eskimo, or Aleut P1150003 9 N 1,3

 Asian or Pacific Islander P1150004 9 N 1,4

 Other race P1150005 9 N 1,5

P115A. PER CAPITA INCOME IN 1989(1) BY RACE(5) [5]

 Universe: Persons

 Per capita income in 1989:

 White P115A001 9 N 1,1

 Black P115A002 9 N 1,2

 American Indian, Eskimo, or Aleut P115A003 9 N 1,3

 Asian or Pacific Islander P115A004 9 N 1,4

 Other race P115A005 9 N 1,5

P116. AGGREGATE INCOME IN 1989(1) [1]

 Universe: Persons of Hispanic origin 15 years and over

 Total P1160001 9 N 1

P116A. PER CAPITA INCOME IN 1989(1) [1]

 Universe: Persons of Hispanic origin

 Per capita income in 1989 P116A001 9 N 1

P117. POVERTY STATUS IN 1989(2) BY AGE(12) [24]

 Universe: Persons for whom poverty status is determined

 Income in 1989 above poverty level:

 Under 5 years P1170001 9 N 1,1

 5 years P1170002 9 N 1,2

 6 to 11 years P1170003 9 N 1,3

 12 to 17 years P1170004 9 N 1,4

 18 to 24 years P1170005 9 N 1,5

 25 to 34 years P1170006 9 N 1,6

 35 to 44 years P1170007 9 N 1,7

 45 to 54 years P1170008 9 N 1,8

 55 to 59 years P1170009 9 N 1,9

 60 to 64 years P1170010 9 N 1,10

 65 to 74 years P1170011 9 N 1,11

 75 years and over P1170012 9 N 1,12

 Income in 1989 below poverty level:

 (Repeat AGE) P1170013 1081 N 2,1

P118. POVERTY STATUS IN 1989(2) BY SEX(2) BY AGE(7) [28]

 Universe: Persons for whom poverty status is determined

 Income in 1989 above poverty level:

 Male:

 Under 5 years P1180001 9 N 1,1,1

 5 years P1180002 9 N 1,1,2

 6 to 11 years P1180003 9 N 1,1,3

 12 to 17 years P1180004 9 N 1,1,4

 18 to 64 years P1180005 9 N 1,1,5

 65 to 74 years P1180006 9 N 1,1,6

 75 years and over P1180007 9 N 1,1,7

 Female:

 (Repeat AGE) P1180008 63(1) N 1,2,1

 Income in 1989 below poverty level:

 (Repeat SEX By AGE) P1180015 126(1) N 2,1,1
P119. POVERTY STATUS IN 1989(2) BY RACE(5) BY AGE(7) [70]

 Universe: Persons for whom poverty status is determined

 Income in 1989 above poverty level:

 White:

 Under 5 years P1190001 9 N 1,1,1

 5 years P1190002 9 N 1,1,2

 6 to 11 years P1190003 9 N 1,1,3

 12 to 17 years P1190004 9 N 1,1,4

 18 to 64 years P1190005 9 N 1,1,5

 65 to 74 years P1190006 9 N 1,1,6

 75 years and over P1190007 9 N 1,1,7

 Black:

 (Repeat AGE) P1190008 63(1) N 1,2,1

 American Indian, Eskimo, or Aleut:

 (Repeat AGE) P1190015 63(1) N 1,3,1

 Asian or Pacific Islander:

 (Repeat AGE) P1190022 63(1) N 1,4,1

 Other race:

 (Repeat AGE) P1190029 63(1) N 1,5,1

 Income in 1989 below poverty level:

 (Repeat RACE By AGE) P1190036 315(1) N 2,1,1

P120. POVERTY STATUS IN 1989(2) BY AGE(7) [14]

 Universe: Persons of Hispanic origin for whom poverty

 status is determined

 Income in 1989 above poverty level:

 Under 5 years P1200001 9 N 1,1

 5 years P1200002 9 N 1,2

 6 to 11 years P1200003 9 N 1,3

 12 to 17 years P1200004 9 N 1,4

 18 to 64 years P1200005 9 N 1,5

 65 to 74 years P1200006 9 N 1,6

 75 years and over P1200007 9 N 1,7

 Income in 1989 below poverty level:

 (Repeat AGE) P1200008 631 N 2,1

P121. RATIO OF INCOME IN 1989 TO POVERTY LEVEL(9) [9]

 Universe: Persons for whom poverty status is determined

 Under .50 P1210001 9 N 1

 50 to .74 P1210002 9 N 2

 75 to .99 P1210003 9 N 3

 1.00 to 1.24 P1210004 9 N 4

 1.25 to 1.49 P1210005 9 N 5

 1.50 to 1.74 P1210006 9 N 6

 1.75 to 1.84 P1210007 9 N 7

 1.85 to 1.99 P1210008 9 N 8

 2.00 and over P1210009 9 N 9

P122. POVERTY STATUS IN 1989(2) BY AGE(3) BY HOUSEHOLD

 TYPE AND RELATIONSHIP(9) [54]

 Universe: Persons for whom poverty status is determined

 Income in 1989 above poverty level:

 Under 65 years:

 In married couple family P1220001 9 N 1,1,1

 In other family:

 Male householder, no wife 
 present P1220002 9 N 1,1,2

 Female householder, no husband 

 present P1220003 9 N 1,1,3

 Unrelated individuals:

 In family households P1220004 9 N 1,1,4

 In nonfamily households:

 Householder:

 Living alone P1220005 9 N 1,1,5

 Not living alone P1220006 9 N 1,1,6

 Nonrelatives P1220007 9 N 1,1,7

 In group quarters P1220008 9 N 1,1,8

 Filler P1220009 9 1,1,9

 65 to 74 years:

 (Repeat HOUSEHOLD TYPE AND 

 RELATIONSHIP) P1220010 81(1) N 1,2,1

 75 years and over:

 (Repeat HOUSEHOLD TYPE AND 

 RELATIONSHIP) P1220019 81(1) N 1,3,1

 Income in 1989 below poverty level:

 (Repeat AGE By HOUSEHOLD TYPE AND

 RELATIONSHIP) P1220028 2431 N 2,1,1

P123. POVERTY STATUS IN 1989(2) BY FAMILY TYPE AND PRESENCE

 AND AGE OF CHILDREN(12) [24]

 Universe: Families

 Income in 1989 above poverty level:

 Married couple family:

 With related children under 18 years:

 Under 5 years only P1230001 9 N 1,1

 5 to 17 years only P1230002 9 N 1,2

 Under 5 years and 5 to 17 

 years P1230003 9 N 1,3

 No related children under 18 

 years P1230004 9 N 1,4

 Other family:

 Male householder, no wife present:

 With related children under 18 years:

 Under 5 years only P1230005 9 N 1,5

 5 to 17 years only P1230006 9 N 1,6

 Under 5 years and 5 to 17 

 years P1230007 9 N 1,7

 No related children under 18 

 years P1230008 9 N 1,8

 Female householder, no husband present:

 With related children under 18 years:

 Under 5 years only P1230009 9 N 1,9

 5 to 17 years only P1230010 9 N 1,10

 Under 5 years and 5 to 17 

 years P1230011 9 N 1,11

 No related children under 18 

 years P1230012 9 N 1,12

 Income in 1989 below poverty level:

 (Repeat FAMILY TYPE AND PRESENCE AND 

 AGE OF CHILDREN)OF CHILDREN) P1230013 108(1) N 2,1

P124A. POVERTY STATUS IN 1989(1) BY RACE OF HOUSEHOLDER(5) BY

 FAMILY TYPE AND PRESENCE AND AGE OF CHILDREN(12) [60]
 Universe: Families with income above poverty level

 Income in 1989 above poverty level:

 White:

 Married couple family:

 With related children under 18 years:

 Under 5 years only P124A001 9 N 1,1,1

 5 to 17 years only P124A002 9 N 1,1,2

 Under 5 years and 5 to 17 

 years P124A003 9 N 1,1,3

 No related children under 

 18 years P124A004 9 N 1,1,4

 Other family:

 Male householder, no wife present:

 With related children under 18 years:

 Under 5 years only P124A005 9 N 1,1,5

 5 to 17 years only P124A006 9 N 1,1,6

 Under 5 years and 5 to 

 17 years P124A007 9 N 1,1,7

 No related children under 

 18 years P124A008 9 N 1,1,8

 Female householder, no husband present:

 With related children under 18 years:

 Under 5 years only P124A009 9 N 1,1,9

 5 to 17 years only P124A010 9 N 1,1,10

 Under 5 years and 5 to 

 17 years P124A011 9 N 1,1,11

 No related children under 

 18 years P124A012 9 N 1,1,12

 Black:

 (Repeat FAMILY TYPE AND PRESENCE P124A013 108(1) N 1,2,1

 AND AGE OF CHILDREN)

 American Indian, Eskimo, or Aleut:

 (Repeat FAMILY TYPE AND PRESENCE P124A025 108(1) N 1,3,1

 AND AGE OF CHILDREN)

 Asian or Pacific Islander:

 (Repeat FAMILY TYPE AND PRESENCE P124A037 108(1) N 1,4,1

 AND AGE OF CHILDREN)

 Other race:

 (Repeat FAMILY TYPE AND PRESENCE P124A049 108(1) N 1,5,1

 AND AGE OF CHILDREN)

P124B. POVERTY STATUS IN 1989(1) BY RACE 

 OF HOUSEHOLDER(5) BY

 FAMILY TYPE AND PRESENCE AND AGE 

 OF CHILDREN(12) [60]

 Universe: Families with income above 

 poverty level

 Income in 1989 below poverty level:

 (Repeat RACE OF HOUSEHOLDER By FAMILY TYPE 

 AND PRESENCE AND AGE OF 

 CHILDREN)(2) P124B001 540(1) N 2,1,1

P125. POVERTY STATUS IN 1989(2) BY FAMILY 

 TYPE AND PRESENCE

 AND AGE OF CHILDREN(12) [24]

 Universe: Families with householder of Hispanic origin

 Income in 1989 above poverty level:
 Married couple family:

 With related children under 18 years:

 Under 5 years only P1250001 9 N 1,1

 5 to 17 years only P1250002 9 N 1,2

 Under 5 years and 5 to 

 17 years P1250003 9 N 1,3

 No related children under 

 18 years P1250004 9 N 1,4

 Other family:

 Male householder, no wife present:

 With related children under 18 years:

 Under 5 years only P1250005 9 N 1,5

 5 to 17 years only P1250006 9 N 1,6

 Under 5 years and 5 to 17 

 years P1250007 9 N 1,7

 No related children under 

 18 years P1250008 9 N 1,8

 Female householder, no husband present:

 With related children under 18 years:

 Under 5 years only P1250009 9 N 1,9

 5 to 17 years only P1250010 9 N 1,10

 Under 5 years and 5 to 

 17 years P1250011 9 N 1,11

 No related children under 

 18 years P1250012 9 N 1,12

 Income in 1989 below poverty level:

 (Repeat FAMILY TYPE AND PRESENCE AND P1250013 108(1) N 2,1

 AGE OF CHILDREN)

P126. POVERTY STATUS IN 1989(2) BY FAMILY TYPE AND AGE(9) [18]

 Universe: Related children under 18 years

 Income in 1989 above poverty level:

 In married couple family:

 Under 5 years P1260001 9 N 1,1

 5 years P1260002 9 N 1,2

 6 to 17 years P1260003 9 N 1,3

 In other family:

 Male householder, no wife present:

 Under 5 years P1260004 9 N 1,4

 5 years P1260005 9 N 1,5

 6 to 17 years P1260006 9 N 1,6

 Female householder, no husband present:

 Under 5 years P1260007 9 N 1,7

 5 years P1260008 9 N 1,8

 6 to 17 years P1260009 9 N 1,9

 Income in 1989 below poverty level:

 (Repeat FAMILY TYPE AND AGE) P1260010 81(1) N 2,1

P127. POVERTY STATUS IN 1989(2) BY AGE OF HOUSEHOLDER(3)

 BY HOUSEHOLD TYPE(5) [30]

 Universe: Households

 Income in 1989 above poverty level:

 Householder 15 to 64 years:

 Married couple family P1270001 9 N 1,1,1

 Other family:

 Male householder, no wife 

 present P1270002 9 N 1,1,2
 Female householder, no 

 husband present P1270003 9 N 1,1,3

 Nonfamily households:

 Householder living alone P1270004 9 N 1,1,4

 Householder not living alone P1270005 9 N 1,1,5

 Householder 65 to 74 years:

 (Repeat HOUSEHOLD TYPE) P1270006 45(1) N 1,2,1

 Householder 75 years and over:

 (Repeat HOUSEHOLD TYPE) P1270011 45(1) N 1,3,1

 Income in 1989 below poverty level:

 (Repeat AGE OF HOUSEHOLDER By 

 HOUSEHOLD TYPE) P1270016 135(1) N 2,1,1

P128. IMPUTATION OF POPULATION ITEMS(3) [3]

 Universe: Persons

 Filler P1280001 9 N 1

 No items allocated P1280002 9 N 2

 One or more items allocated P1280003 9 N 3

P129. IMPUTATION OF RELATIONSHIP(2) [2]

 Universe: Persons in households

 Allocated P1290001 9 N 1

 Not allocated P1290002 9 N 2

P130. IMPUTATION OF SEX(3) [3]

 Universe: Persons

 Filler P1300001 9 N 1

 Allocated P1300002 9 N 2

 Not allocated P1300003 9 N 3

P131. IMPUTATION OF AGE(3) [3]

 Universe: Persons

 Filler P1310001 9 N 1

 Allocated P1310002 9 N 2

 Not allocated P1310003 9 N 3

P132. IMPUTATION OF RACE(3) [3]

 Universe: Persons

 Filler P1320001 9 N 1

 Allocated P1320002 9 N 2

 Not allocated P1320003 9 N 3

P133. IMPUTATION OF MARITAL STATUS(3) [3]

 Universe: Persons 15 years and over

 Filler P1330001 9 N 1

 Allocated P1330002 9 N 2

 Not allocated P1330003 9 N 3

P134. IMPUTATION OF HISPANIC ORIGIN(3) [3]

 Universe: Persons

 Filler P1340001 9 N 1

 Allocated P1340002 9 N 2

 Not allocated P1340003 9 N 3

P135. IMPUTATION OF GROUP QUARTERS(2) [2]

 Universe: Persons in group quarters

 Allocated P1350001 9 N 1

 Not allocated P1350002 9 N 2
P136. IMPUTATION OF PLACE OF BIRTH(3) [3]

 Universe: Persons

 Filler P1360001 9 N 1

 Allocated P1360002 9 N 2

 Not allocated P1360003 9 N 3

P137. IMPUTATION OF CITIZENSHIP(3) [3]

 Universe: Persons

 Filler P1370001 9 N 1

 Allocated P1370002 9 N 2

 Not allocated P1370003 9 N 3

P138. IMPUTATION OF YEAR OF ENTRY(3) [3]

 Universe: Foreign born persons

 Filler P1380001 9 N 1

 Allocated P1380002 9 N 2

 Not allocated P1380003 9 N 3

P139. IMPUTATION OF SCHOOL ENROLLMENT(3) [3]

 Universe: Persons 3 years and over

 Filler P1390001 9 N 1

 Allocated P1390002 9 N 2

 Not allocated P1390003 9 N 3

P140. IMPUTATION OF EDUCATIONAL ATTAINMENT(3) [3]

 Universe: Persons 18 years and over

 Filler P1400001 9 N 1

 Allocated P1400002 9 N 2

 Not allocated P1400003 9 N 3

P141. IMPUTATION OF EDUCATIONAL ATTAINMENT(3) [3]

 Universe: Persons 25 years and over

 Filler P1410001 9 N 1

 Allocated P1410002 9 N 2

 Not allocated P1410003 9 N 3

P142. IMPUTATION OF ANCESTRY(3) [3]

 Universe: Persons

 Filler P1420001 9 N 1

 Allocated P1420002 9 N 2

 Not allocated P1420003 9 N 3

P143. IMPUTATION OF MOBILITY STATUS(3) [3]

 Universe: Persons 5 years and over

 Filler P1430001 9 N 1

 Allocated P1430002 9 N 2

 Not allocated P1430003 9 N 3

P144. IMPUTATION OF RESIDENCE IN 1985(5) [5]

 Universe: Persons 5 years and over

 Different house in 1985:

 Filler P1440001 9 N 1

 Allocated:

 One or more but not all 

 geographic parts allocated P1440002 9 N 2

 All geographic parts allocated P1440003 9 N 3
 Not allocated P1440004 9 N 4

 Same house in 1985 P1440005 9 N 5

P145. IMPUTATION OF LANGUAGE STATUS(3) [3]

 Universe: Persons 5 years and over

 Filler P1450001 9 N 1

 Allocated P1450002 9 N 2

 Not allocated P1450003 9 N 3

P146. IMPUTATION OF LANGUAGE SPOKEN AT HOME(4) [4]

 Universe: Persons 5 years and over

 Speak only English P1460001 9 N 1

 Speak other language:

 Filler P1460002 9 N 2

 Allocated P1460003 9 N 3

 Not allocated P1460004 9 N 4

P147. IMPUTATION OF ABILITY TO SPEAK ENGLISH(4) [4]

 Universe: Persons 5 years and over

 Speak only English P1470001 9 N 1

 Speak other language:

 Filler P1470002 9 N 2

 Allocated P1470003 9 N 3

 Not allocated P1470004 9 N 4

P148. IMPUTATION OF VETERAN STATUS(3) [3]

 Universe: Persons 16 years and over

 Filler P1480001 9 N 1

 Allocated P1480002 9 N 2

 Not allocated P1480003 9 N 3

P149. IMPUTATION OF PERIOD OF MILITARY SERVICE(3) [3]

 Universe: Civilian veterans 16 years and over

 Filler P1490001 9 N 1

 Allocated P1490002 9 N 2

 Not allocated P1490003 9 N 3

P150. IMPUTATION OF WORK DISABILITY STATUS(3) [3]

 Universe: Civilian noninstitutionalized persons 16 years and over

 Filler P1500001 9 N 1

 Allocated P1500002 9 N 2

 Not allocated P1500003 9 N 3

P151. IMPUTATION OF MOBILITY LIMITATION STATUS(3) [3]

 Universe: Civilian noninstitutionalized persons 16 years and over

 Filler P1510001 9 N 1

 Allocated P1510002 9 N 2

 Not allocated P1510003 9 N 3

P152. IMPUTATION OF SELF CARE LIMITATION STATUS(3) [3]

 Universe: Civilian noninstitutionalized persons 16 years and over

 Filler P1520001 9 N 1

 Allocated P1520002 9 N 2

 Not allocated P1520003 9 N 3

P153. IMPUTATION OF CHILDREN EVER BORN(3) [3]

 Universe: Females 15 years and over
 Filler P1530001 9 N 1

 Allocated P1530002 9 N 2

 Not allocated P1530003 9 N 3

P154. IMPUTATION OF PLACE OF WORK(4) [4]

 Universe: Workers 16 years and over

 Filler P1540001 9 N 1

 Allocated:

 One or more but not all geographic 

 parts allocated P1540002 9 N 2

 All geographic parts allocated P1540003 9 N 3

 Not allocated P1540004 9 N 4

P155. IMPUTATION OF MEANS OF TRANSPORTATION TO WORK(3) [3]

 Universe: Workers 16 years and over

 Filler P1550001 9 N 1

 Allocated P1550002 9 N 2

 Not allocated P1550003 9 N 3

P156. IMPUTATION OF PRIVATE VEHICLE OCCUPANCY(4) [4]

 Universe: Workers 16 years and over

 Car, truck, or van:

 Filler P1560001 9 N 1

 Allocated P1560002 9 N 2

 Not allocated P1560003 9 N 3

 Other means P1560004 9 N 4

P157. IMPUTATION OF TIME LEAVING HOME TO GO TO WORK(4) [4]

 Universe: Workers 16 years and over

 Did not work at home:

 Filler P1570001 9 N 1

 Allocated P1570002 9 N 2

 Not allocated P1570003 9 N 3

 Worked at home P1570004 9 N 4

P158. IMPUTATION OF TRAVEL TIME TO WORK(4) [4]

 Universe: Workers 16 years and over

 Did not work at home:

 Filler P1580001 9 N 1

 Allocated P1580002 9 N 2

 Not allocated P1580003 9 N 3

 Worked at home P1580004 9 N 4

P159. IMPUTATION OF EMPLOYMENT STATUS(3) [3]

 Universe: Persons 16 years and over

 Filler P1590001 9 N 1

 Allocated P1590002 9 N 2

 Not allocated P1590003 9 N 3

P160. IMPUTATION OF WORK STATUS IN 1989(3) [3]

 Universe: Persons 16 years and over

 Filler P1600001 9 N 1

 Allocated P1600002 9 N 2

 Not allocated P1600003 9 N 3

P161. IMPUTATION OF USUAL HOURS WORKED PER WEEK IN

 1989(4) [4]
 Universe: Persons 16 years and over

 Worked in 1989:

 Filler P1610001 9 N 1

 Allocated P1610002 9 N 2

 Not allocated P1610003 9 N 3

 Did not work in 1989 P1610004 9 N 4

P162. IMPUTATION OF WEEKS WORKED IN 1989(4) [4]

 Universe: Persons 16 years and over

 Worked in 1989:

 Filler P1620001 9 N 1

 Allocated P1620002 9 N 2

 Not allocated P1620003 9 N 3

 Did not work in 1989 P1620004 9 N 4

P163. IMPUTATION OF INDUSTRY(3) [3]

 Universe: Employed persons 16 years and over

 Filler P1630001 9 N 1

 Allocated P1630002 9 N 2

 Not allocated P1630003 9 N 3

P164. IMPUTATION OF OCCUPATION(3) [3]

 Universe: Employed persons 16 years and over

 Filler P1640001 9 N 1

 Allocated P1640002 9 N 2

 Not allocated P1640003 9 N 3

P165. IMPUTATION OF CLASS OF WORKER(3) [3]

 Universe: Employed persons 16 years and over

 Filler P1650001 9 N 1

 Allocated P1650002 9 N 2

 Not allocated P1650003 9 N 3

P166. IMPUTATION OF INCOME IN 1989(3) [3]

 Universe: Persons 15 years and over

 Filler P1660001 9 N 1

 Allocated P1660002 9 N 2

 Not allocated P1660003 9 N 3

P167. IMPUTATION OF HOUSEHOLD INCOME IN 1989(2) [2]

 Universe: Households

 Allocated P1670001 9 N 1

 Not allocated P1670002 9 N 2

P168. IMPUTATION OF FAMILY INCOME IN 1989(2) [2]

 Universe: Families

 Allocated P1680001 9 N 1

 Not allocated P1680002 9 N 2

P169. IMPUTATION OF NONFAMILY HOUSEHOLD INCOME IN

 1989(2) [2]

 Universe: Nonfamily households

 Allocated P1690001 9 N 1

 Not allocated P1690002 9 N 2

P170. IMPUTATION OF POVERTY STATUS IN 1989(3) [3]

 Universe: Persons for whom poverty status is determined
 Filler P1700001 9 N 1

 Allocated P1700002 9 N 2

 Not allocated P1700003 9 N 3

H1. HOUSING UNITS(1) [1]

 Universe: Housing units

 Total H0010001 9 N 1

H2. UNWEIGHTED SAMPLE COUNT OF HOUSING UNITS(1) [1]

 Universe: Housing units

 Total H0020001 9 N 1

H3. 100 PERCENT COUNT OF HOUSING UNITS(1) [1]

 Universe: Housing units

 Total H0030001 9 N 1

H3A. PERCENT OF HOUSING UNITS IN SAMPLE(1) [1]

 1 implied decimal(s)

 Universe: Housing units

 Total H003A001 9 N 1

H4. OCCUPANCY STATUS(2) [2]

 Universe: Housing units

 Occupied H0040001 9 N 1

 Vacant H0040002 9 N 2

H5. URBAN AND RURAL(4) [4]

 Universe: Housing units

 Urban:

 Inside urbanized area H0050001 9 N 1

 Outside urbanized area H0050002 9 N 2

 Rural:

 Farm H0050003 9 N 3

 Nonfarm H0050004 9 N 4

H6. CONDOMINIUM STATUS(2) BY VACANCY STATUS(4) [8]

 Universe: Vacant housing units

 Condominium:

 For rent H0060001 9 N 1,1

 For sale only H0060002 9 N 1,2

 For seasonal, recreational, or 

 occasional use H0060003 9 N 1,3

 All other vacants H0060004 9 N 1,4

 Not condominium:

 (Repeat VACANCY STATUS) H0060005 36(1) N 2,1

H7. CONDOMINIUM STATUS(2) BY TENURE AND MORTGAGE

 STATUS(3) [6]

 Universe: Occupied housing units

 Condominium:

 Owner occupied:

 With a mortgage H0070001 9 N 1,1

 Not mortgaged H0070002 9 N 1,2

 Renter occupied H0070003 9 N 1,3

 Not condominium:

 (Repeat TENURE AND MORTGAGE STATUS) H0070004 27(1) N 2,1
H8. TENURE(2) [2]

 Universe: Occupied housing units

 Owner occupied H0080001 9 N 1

 Renter occupied H0080002 9 N 2

H9. RACE OF HOUSEHOLDER(5) [5]

 Universe: Occupied housing units

 White H0090001 9 N 1

 Black H0090002 9 N 2

 American Indian, Eskimo, or Aleut H0090003 9 N 3

 Asian or Pacific Islander H0090004 9 N 4

 Other race H0090005 9 N 5

H10. TENURE

 (2) BY RACE OF HOUSEHOLDER(5) [10]

 Universe: Occupied housing units

 Owner occupied:

 White H0100001 9 N 1,1

 Black H0100002 9 N 1,2

 American Indian, Eskimo, or Aleut H0100003 9 N 1,3

 Asian or Pacific Islander H0100004 9 N 1,4

 Other race H0100005 9 N 1,5

 Renter occupied:

 (Repeat RACE OF HOUSEHOLDER) H0100006 45(1) N 2,1

H11. HISPANIC ORIGIN OF HOUSEHOLDER(2) BY RACE OF

 HOUSEHOLDER(5) [10]

 Universe: Occupied housing units

 Not of Hispanic origin:

 White H0110001 9 N 1,1

 Black H0110002 9 N 1,2

 American Indian, Eskimo, or Aleut H0110003 9 N 1,3

 Asian or Pacific Islander H0110004 9 N 1,4

 Other race H0110005 9 N 1,5

 Hispanic origin:

 (Repeat RACE OF HOUSEHOLDER) H0110006 45(1) N 2,1

H12. TENURE (2) BY RACE OF HOUSEHOLDER(5) [10]

 Universe: Occupied housing units with householder of

 Hispanic origin

 Owner occupied:

 White H0120001 9 N 1,1

 Black H0120002 9 N 1,2

 American Indian, Eskimo, or Aleut H0120003 9 N 1,3

 Asian or Pacific Islander H0120004 9 N 1,4

 Other race H0120005 9 N 1,5

 Renter occupied:

 (Repeat RACE OF HOUSEHOLDER) H0120006 45(1) N 2,1

H13. TENURE (2) BY AGE OF HOUSEHOLDER(7) [14]

 Universe: Occupied housing units

 Owner occupied:

 15 to 24 years H0130001 9 N 1,1

 25 to 34 years H0130002 9 N 1,2

 35 to 44 years H0130003 9 N 1,3

 45 to 54 years H0130004 9 N 1,4

 55 to 64 years H0130005 9 N 1,5
 65 to 74 years H0130006 9 N 1,6

 75 years and over H0130007 9 N 1,7

 Renter occupied:

 (Repeat AGE OF HOUSEHOLDER) H0130008 63(1) N 2,1

H14. AGGREGATE PERSONS(1) BY TENURE(2) BY RACE OF

 HOUSEHOLDER(5) [10]

 Universe: Persons in occupied housing units

 Total:

 Owner occupied:

 White H0140001 9 N 1,1,1

 Black H0140002 9 N 1,1,2

 American Indian, Eskimo, or Aleut H0140003 9 N 1,1,3

 Asian or Pacific Islander H0140004 9 N 1,1,4

 Other race H0140005 9 N 1,1,5

 Renter occupied:

 (Repeat RACE OF HOUSEHOLDER) H0140006 45(1) N 1,2,1

H15. AGGREGRATE PERSONS(1) BY TENURE(2) [2]

 Universe: Persons in occupied housing units with

 householder of Hispanic origin

 Total:

 Owner occupied H0150001 9 N 1,1

 Renter occupied H0150002 9 N 1,2

H16. ROOMS(9) [9]

 Universe: Housing units

 1 room H0160001 9 N 1

 2 rooms H0160002 9 N 2

 3 rooms H0160003 9 N 3

 4 rooms H0160004 9 N 4

 5 rooms H0160005 9 N 5

 6 rooms H0160006 9 N 6

 7 rooms H0160007 9 N 7

 8 rooms H0160008 9 N 8

 9 or more rooms H0160009 9 N 9

H17. AGGREGATE ROOMS(1) [1]

 Universe: Housing units

 Total H0170001 9 N 1

H18. TENURE

 (2) BY PERSONS IN UNIT(7) [14]

 Universe: Occupied housing units

 Owner occupied:

 1 person H0180001 9 N 1,1

 2 persons H0180002 9 N 1,2

 3 persons H0180003 9 N 1,3

 4 persons H0180004 9 N 1,4

 5 persons H0180005 9 N 1,5

 6 persons H0180006 9 N 1,6

 7 or more persons H0180007 9 N 1,7

 Renter occupied:

 (Repeat PERSONS IN UNIT) H0180008 63(1) N 2,1

H19. AGGREGATE PERSONS(1) BY TENURE(2) [2]

 Universe: Persons in occupied housing units
 Total:

 Owner occupied H0190001 9 N 1,1

 Renter occupied H0190002 9 N 1,2

H20. UNITS IN STRUCTURE(10) [10]

 Universe: Housing units

 1, detached H0200001 9 N 1

 1, attached H0200002 9 N 2

 2 H0200003 9 N 3

 3 or 4 H0200004 9 N 4

 5 to 9 H0200005 9 N 5

 10 to 19 H0200006 9 N 6

 20 to 49 H0200007 9 N 7

 50 or more H0200008 9 N 8

 Mobile home or trailer H0200009 9 N 9

 Other H0200010 9 N 10

H21. UNITS IN STRUCTURE(10) [10]

 Universe: Vacant housing units

 1, detached H0210001 9 N 1

 1, attached H0210002 9 N 2

 2 H0210003 9 N 3

 3 or 4 H0210004 9 N 4

 5 to 9 H0210005 9 N 5

 10 to 19 H0210006 9 N 6

 20 to 49 H0210007 9 N 7

 50 or more H0210008 9 N 8

 Mobile home or trailer H0210009 9 N 9

 Other H0210010 9 N 10

H22. TENURE (2) BY UNITS IN STRUCTURE(10) [20]

 Universe: Occupied housing units

 Owner occupied:

 1, detached H0220001 9 N 1,1

 1, attached H0220002 9 N 1,2

 2 H0220003 9 N 1,3

 3 or 4 H0220004 9 N 1,4

 5 to 9 H0220005 9 N 1,5

 10 to 19 H0220006 9 N 1,6

 20 to 49 H0220007 9 N 1,7

 50 or more H0220008 9 N 1,8

 Mobile home or trailer H0220009 9 N 1,9

 Other H0220010 9 N 1,10

 Renter occupied:

 (Repeat UNITS IN STRUCTURE) H0220011 90(1) N 2,1

H23. SOURCE OF WATER(4) [4]

 Universe: Housing units

 Public system or private company H0230001 9 N 1

 Individual well:

 Drilled H0230002 9 N 2

 Dug H0230003 9 N 3

 Some other source H0230004 9 N 4

H24. SEWAGE DISPOSAL(3) [3]

 Universe: Housing units

 Public sewer H0240001 9 N 1
 Septic tank or cesspool H0240002 9 N 2

 Other means H0240003 9 N 3

H25. YEAR STRUCTURE BUILT(8) [8]

 Universe: Housing units

 1989 to March 1990 H0250001 9 N 1

 1985 to 1988 H0250002 9 N 2

 1980 to 1984 H0250003 9 N 3

 1970 to 1979 H0250004 9 N 4

 1960 to 1969 H0250005 9 N 5

 1950 to 1959 H0250006 9 N 6

 1940 to 1949 H0250007 9 N 7

 1939 or earlier H0250008 9 N 8

H25A. MEDIAN YEAR STRUCTURE BUILT(1) [1]

 Universe: Housing units

 Median year structure built H025A001 9 N 1

H26. YEAR STRUCTURE BUILT(8) [8]

 Universe: Vacant housing units

 1989 to March 1990 H0260001 9 N 1

 1985 to 1988 H0260002 9 N 2

 1980 to 1984 H0260003 9 N 3

 1970 to 1979 H0260004 9 N 4

 1960 to 1969 H0260005 9 N 5

 1950 to 1959 H0260006 9 N 6

 1940 to 1949 H0260007 9 N 7

 1939 or earlier H0260008 9 N 8

H27. TENURE (2) BY YEAR STRUCTURE BUILT(8) [16]

 Universe: Occupied housing units

 Owner occupied:

 1989 to March 1990 H0270001 9 N 1,1

 1985 to 1988 H0270002 9 N 1,2

 1980 to 1984 H0270003 9 N 1,3

 1970 to 1979 H0270004 9 N 1,4

 1960 to 1969 H0270005 9 N 1,5

 1950 to 1959 H0270006 9 N 1,6

 1940 to 1949 H0270007 9 N 1,7

 1939 or earlier H0270008 9 N 1,8

 Renter occupied:

 (Repeat YEAR STRUCTURE BUILT) H0270009 72(1) N 2,1

H28. YEAR HOUSEHOLDER MOVED INTO UNIT(6) [6]

 Universe: Occupied housing units

 1989 to March 1990 H0280001 9 N 1

 1985 to 1988 H0280002 9 N 2

 1980 to 1984 H0280003 9 N 3

 1970 to 1979 H0280004 9 N 4

 1960 to 1969 H0280005 9 N 5

 1959 or earlier H0280006 9 N 6

H29. TENURE (2) BY YEAR HOUSEHOLDER MOVED INTO UNIT(6) [12]

 Universe: Occupied housing units

 Owner occupied:

 1989 to March 1990 H0290001 9 N 1,1

 1985 to 1988 H0290002 9 N 1,2
 1980 to 1984 H0290003 9 N 1,3

 1970 to 1979 H0290004 9 N 1,4

 1960 to 1969 H0290005 9 N 1,5

 1959 or earlier H0290006 9 N 1,6

 Renter occupied:

 (Repeat YEAR HOUSEHOLDER MOVED

 INTO UNIT) H0290007 54(1) N 2,1

H30. HOUSE HEATING FUEL(9) [9]

 Universe: Occupied housing units

 Utility gas H0300001 9 N 1

 Bottled, tank, or LP gas H0300002 9 N 2

 Electricity H0300003 9 N 3

 Fuel oil, kerosene, etc. H0300004 9 N 4

 Coal or coke H0300005 9 N 5

 Wood H0300006 9 N 6

 Solar energy H0300007 9 N 7

 Other fuel H0300008 9 N 8

 No fuel used H0300009 9 N 9

H31. BEDROOMS(6) [6]

 Universe: Housing units

 No bedroom H0310001 9 N 1

 1 bedroom H0310002 9 N 2

 2 bedrooms H0310003 9 N 3

 3 bedrooms H0310004 9 N 4

 4 bedrooms H0310005 9 N 5

 5 or more bedrooms H0310006 9 N 6

H32. BEDROOMS(6) [6]

 Universe: Vacant housing units

 No bedroom H0320001 9 N 1

 1 bedroom H0320002 9 N 2

 2 bedrooms H0320003 9 N 3

 3 bedrooms H0320004 9 N 4

 4 bedrooms H0320005 9 N 5

 5 or more bedrooms H0320006 9 N 6

H33. TENURE (2) BY BEDROOMS(6) [12]

 Universe: Occupied housing units

 Owner occupied:

 No bedroom H0330001 9 N 1,1

 1 bedroom H0330002 9 N 1,2

 2 bedrooms H0330003 9 N 1,3

 3 bedrooms H0330004 9 N 1,4

 4 bedrooms H0330005 9 N 1,5

 5 or more bedrooms H0330006 9 N 1,6

 Renter occupied:

 (Repeat BEDROOMS) H0330007 54(1) N 2,1

H34. BEDROOMS(4) BY GROSS RENT(7) [28]

 Universe: Specified renter occupied housing units

 No bedroom:

 With cash rent:

 Less than $200 H0340001 9 N 1,1

 $200 to $299 H0340002 9 N 1,2

 $300 to $499 H0340003 9 N 1,3
 $500 to $749 H0340004 9 N 1,4

 $750 to $999 H0340005 9 N 1,5

 $1,000 or more H0340006 9 N 1,6

 No cash rent H0340007 9 N 1,7

 1 bedroom:

 (Repeat GROSS RENT) H0340008 63(1) N 2,1

 2 bedrooms:

 (Repeat GROSS RENT) H0340015 63(1) N 3,1

 3 or more bedrooms:

 (Repeat GROSS RENT) H0340022 63(1) N 4,1

H35. TENURE (2) BY TELEPHONE IN HOUSING UNIT(2) [4]

 Universe: Occupied housing units

 Owner occupied:

 With telephone H0350001 9 N 1,1

 No telephone H0350002 9 N 1,2

 Renter occupied:

 (Repeat TELEPHONE IN HOUSING UNIT) H0350003 18(1) N 2,1

H36. AGE OF HOUSEHOLDER(4) BY TELEPHONE IN HOUSING UNIT(2) [8]

 Universe: Occupied housing units

 15 to 59 years:

 With telephone H0360001 9 N 1,1

 No telephone H0360002 9 N 1,2

 60 to 64 years:

 (Repeat TELEPHONE IN HOUSING UNIT) H0360003 18(1) N 2,1

 65 to 74 years:

 (Repeat TELEPHONE IN HOUSING UNIT) H0360005 18(1) N 3,1

 75 years and over:

 (Repeat TELEPHONE IN HOUSING UNIT) H0360007 18(1) N 4,1

H37. TENURE (2) BY VEHICLES AVAILABLE(6) [12]

 Universe: Occupied housing units

 Owner occupied:

 None H0370001 9 N 1,1

 1 H0370002 9 N 1,2

 2 H0370003 9 N 1,3

 3 H0370004 9 N 1,4

 4 H0370005 9 N 1,5

 5 or more H0370006 9 N 1,6

 Renter occupied:

 (Repeat VEHICLES AVAILABLE) H0370007 54(1) N 2,1

H38. AGGREGATE VEHICLES AVAILABLE(1) BY TENURE(2) [2]

 Universe: Occupied housing units

 Total:

 Owner occupied H0380001 9 N 1,1

 Renter occupied H0380002 9 N 1,2

H39. RACE OF HOUSEHOLDER(5) BY VEHICLES AVAILABLE(2) [10]

 Universe: Occupied housing units

 White:

 None H0390001 9 N 1,1

 1 or more H0390002 9 N 1,2

 Black:

 (Repeat VEHICLES AVAILABLE) H0390003 18(1) N 2,1

 American Indian, Eskimo, or Aleut:
 (Repeat VEHICLES AVAILABLE) H0390005 18(1) N 3,1

 Asian or Pacific Islander:

 (Repeat VEHICLES AVAILABLE) H0390007 18(1) N 4,1

 Other race:

 (Repeat VEHICLES AVAILABLE) H0390009 18(1) N 5,1

H40. VEHICLES AVAILABLE(2) [2]

 Universe: Occupied housing units with householder of

 Hispanic origin

 None H0400001 9 N 1

 1 or more H0400002 9 N 2

H41. AGE OF HOUSEHOLDER(2) BY VEHICLES AVAILABLE(2) [4]

 Universe: Occupied housing units

 15 to 64 years:

 None H0410001 9 N 1,1

 1 or more H0410002 9 N 1,2

 65 years and over:

 (Repeat VEHICLES AVAILABLE) H0410003 18(1) N 2,1

H42. KITCHEN FACILITIES(2) [2]

 Universe: Housing units

 Complete kitchen facilities H0420001 9 N 1

 Lacking complete kitchen facilities H0420002 9 N 2

H43. GROSS RENT(17) [17]

 Universe: Specified renter occupied housing units

 With cash rent:

 Less than $100 H0430001 9 N 1

 $100 to $149 H0430002 9 N 2

 $150 to $199 H0430003 9 N 3

 $200 to $249 H0430004 9 N 4

 $250 to $299 H0430005 9 N 5

 $300 to $349 H0430006 9 N 6

 $350 to $399 H0430007 9 N 7

 $400 to $449 H0430008 9 N 8

 $450 to $499 H0430009 9 N 9

 $500 to $549 H0430010 9 N 10

 $550 to $599 H0430011 9 N 11

 $600 to $649 H0430012 9 N 12

 $650 to $699 H0430013 9 N 13

 $700 to $749 H0430014 9 N 14

 $750 to $999 H0430015 9 N 15

 $1,000 or more H0430016 9 N 16

 No cash rent H0430017 9 N 17

H43A. MEDIAN GROSS RENT(1) [1]

 Universe: Specified renter occupied housing units paying

 cash rent

 Median gross rent H043A001 9 N 1

H44. AGGREGATE GROSS RENT(1) [1]

 Universe: Specified renter occupied housing units paying

 cash rent

 Total H0440001 9 N 1
H45. RACE OF HOUSEHOLDER(5) BY GROSS RENT(7) [35]

 Universe: Specified renter occupied housing units

 White:

 With cash rent:

 Less than $200 H0450001 9 N 1,1

 $200 to $299 H0450002 9 N 1,2

 $300 to $499 H0450003 9 N 1,3

 $500 to $749 H0450004 9 N 1,4

 $750 to $999 H0450005 9 N 1,5

 $1,000 or more H0450006 9 N 1,6

 No cash rent H0450007 9 N 1,7

 Black:

 (Repeat GROSS RENT) H0450008 63(1) N 2,1

 American Indian, Eskimo, or Aleut:

 (Repeat GROSS RENT) H0450015 63(1) N 3,1

 Asian or Pacific Islander:

 (Repeat GROSS RENT) H0450022 63(1) N 4,1

 Other race:

 (Repeat GROSS RENT) H0450029 63(1) N 5,1

H46. HISPANIC ORIGIN(2) BY GROSS RENT(7) [14]

 Universe: Specified renter occupied housing units

 Not of Hispanic origin:

 With cash rent:

 Less than $200 H0460021 9 N 1,1

 $200 to $299 H0460022 9 N 1,2

 $300 to $499 H0460023 9 N 1,3

 $500 to $749 H0460024 9 N 1,4

 $750 to $999 H0460025 9 N 1,5

 $1,000 or more H0460026 9 N 1,6

 No cash rent H0460027 9 N 1,7

 Hispanic origin:

 (Repeat GROSS RENT) H0460028 63(1) N 2,1

H47. MEALS INCLUDED IN RENT(2) [2]

 Universe: Specified renter occupied 

 housing units paying cash rent

 Meals included in rent H0470001 9 N 1

 No meals included in rent H0470002 9 N 2

H48. AGGREGATE GROSS RENT(1) BY MEALS 

 INCLUDED IN RENT(2) [2]

 Universe: Specified renter occupied 

 housing units paying cash rent

 Total:

 Meals included in rent H0480001 9 N 1,1

 No meals included in rent H0480002 9 N 1,2

H49. INCLUSION OF UTILITIES IN RENT(2) [2]

 Universe: Specified renter occupied housing units

 Pay extra for 1 or more utilities H0490001 9 N 1

 No extra payment for any utilities H0490002 9 N 2

H50. HOUSEHOLD INCOME IN 1989(5) BY GROSS RENT AS A

 PERCENTAGE OF HOUSEHOLD INCOME IN 1989(6) [30]

 Universe: Specified renter occupied housing units

 Less than $10,000:
 Less than 20 percent H0500001 9 N 1,1

 20 to 24 percent H0500002 9 N 1,2

 25 to 29 percent H0500003 9 N 1,3

 30 to 34 percent H0500004 9 N 1,4

 35 percent or more H0500005 9 N 1,5

 Not computed H0500006 9 N 1,6

 $10,000 to $19,999:

 (Repeat GROSS RENT AS A PERCENTAGE OF

 HOUSEHOLD INCOME IN 1989) H0500007 54(1) N 2,1

 $20,000 to $34,999:

 (Repeat GROSS RENT AS A PERCENTAGE OF

 HOUSEHOLD INCOME IN 1989) H0500013 54(1) N 3,1

 $35,000 to $49,999:

 (Repeat GROSS RENT AS A PERCENTAGE OF

 HOUSEHOLD INCOME IN 1989) H0500019 54(1) N 4,1

 $50,000 or more:

 (Repeat GROSS RENT AS A PERCENTAGE OF

 HOUSEHOLD INCOME IN 1989) H0500025 54(1) N 5,1

H50A. MEDIAN GROSS RENT AS A PERCENTAGE OF HOUSEHOLD

 INCOME IN 1989(1) [1]

 1 implied decimal(s)

 Universe: Specified renter occupied 

 housing units paying cash rent

 Median gross rent as a percentage of 

 household income in 1989 H050A001 9 N 1

H51. AGE OF HOUSEHOLDER(2) BY GROSS RENT AS A PERCENTAGE

 OF HOUSEHOLD INCOME IN 1989(6) [12]

 Universe: Specified renter occupied housing units

 15 to 64 years:

 Less than 20 percent H0510001 9 N 1,1

 20 to 24 percent H0510002 9 N 1,2

 25 to 29 percent H0510003 9 N 1,3

 30 to 34 percent H0510004 9 N 1,4

 35 percent or more H0510005 9 N 1,5

 Not computed H0510006 9 N 1,6

 65 years and over:

 (Repeat GROSS RENT AS A PERCENTAGE 

 OF HOUSEHOLD INCOME IN 1989) H0510007 54(1) N 2,1

H52. MORTGAGE STATUS AND SELECTED MONTHLY OWNER

 COSTS(21) [21]

 Universe: Specified owner occupied housing units

 With a mortgage:

 Less than $200 H0520001 9 N 1

 $200 to $299 H0520002 9 N 2

 $300 to $399 H0520003 9 N 3

 $400 to $499 H0520004 9 N 4

 $500 to $599 H0520005 9 N 5

 $600 to $699 H0520006 9 N 6

 $700 to $799 H0520007 9 N 7

 $800 to $899 H0520008 9 N 8

 $900 to $999 H0520009 9 N 9

 $1,000 to $1,249 H0520010 9 N 10

 $1,250 to $1,499 H0520011 9 N 11

 $1,500 to $1,999 H0520012 9 N 12
 $2,000 or more H0520013 9 N 13

 Not mortgaged:

 Less than $100 H0520014 9 N 14

 $100 to $149 H0520015 9 N 15

 $150 to $199 H0520016 9 N 16

 $200 to $249 H0520017 9 N 17

 $250 to $299 H0520018 9 N 18

 $300 to $349 H0520019 9 N 19

 $350 to $399 H0520020 9 N 20

 $400 or more H0520021 9 N 21

H52A. MEDIAN SELECTED MONTHLY OWNER COSTS AND MORTGAGE

 STATUS(2) [2]

 Universe: Specified owner occupied housing units

 With a mortgage H052A001 9 N 1

 Not mortgaged H052A002 9 N 2

H53. AGGREGATE SELECTED MONTHLY OWNER COSTS(1) BY

 MORTGAGE STATUS(2) [2]

 Universe: Specified owner occupied housing units

 Total:

 With a mortgage H0530001 9 N 1,1

 Not mortgaged H0530002 9 N 1,2

H54. RACE OF HOUSEHOLDER(5) BY MORTGAGE STATUS AND

 SELECTED MONTHLY OWNER COSTS(11) [55]

 Universe: Specified owner occupied housing units

 White:

 With a mortgage:

 Less than $300 H0540001 9 N 1,1

 $300 to $499 H0540002 9 N 1,2

 $500 to $699 H0540003 9 N 1,3

 $700 to $999 H0540004 9 N 1,4

 $1,000 to $1,499 H0540005 9 N 1,5

 $1,500 or more H0540006 9 N 1,6

 Not mortgaged:

 Less than $100 H0540007 9 N 1,7

 $100 to $199 H0540008 9 N 1,8

 $200 to $299 H0540009 9 N 1,9

 $300 to $399 H0540010 9 N 1,10

 $400 or more H0540011 9 N 1,11

 Black:

 (Repeat MORTGAGE STATUS AND SELECTED 

 MONTHLY OWNER COSTS) H0540012 99(1) N 2,1

 American Indian, Eskimo, or Aleut:

 (Repeat MORTGAGE STATUS AND SELECTED 

 MONTHLY OWNER COSTS) H0540023 99(1) N 3,1

 Asian or Pacific Islander:

 (Repeat MORTGAGE STATUS AND SELECTED 

 MONTHLY OWNER COSTS) H0540034 99(1) N 4,1

 Other race:

 (Repeat MORTGAGE STATUS AND SELECTED 

 MONTHLY OWNER COSTS) H0540045 99(1) N 5,1

H55. MORTGAGE STATUS AND SELECTED MONTHLY OWNER

 COSTS(11) [11]
 Universe: Specified owner occupied housing units with

 householder of Hispanic origin

 With a mortgage:

 Less than $300 H0550001 9 N 1

 $300 to $499 H0550002 9 N 2

 $500 to $699 H0550003 9 N 3

 $700 to $999 H0550004 9 N 4

 $1,000 to $1,499 H0550005 9 N 5

 $1,500 or more H0550006 9 N 6

 Not mortgaged:

 Less than $100 H0550007 9 N 7

 $100 to $199 H0550008 9 N 8

 $200 to $299 H0550009 9 N 9

 $300 to $399 H0550010 9 N 10

 $400 or more H0550011 9 N 11

H56. AGGREGATE SELECTED MONTHLY OWNER COSTS(1) BY

 MORTGAGE STATUS(2) [2]

 Universe: Owner occupied mobile homes or trailers

 Total:

 With a mortgage H0560001 9 N 1,1

 Not mortgaged H0560002 9 N 1,2

H57. AGGREGATE SELECTED MONTHLY OWNER COSTS(1) BY

 MORTGAGE STATUS(2) [2]

 Universe: Owner occupied condominium housing units

 Total:

 With a mortgage H0570001 9 N 1,1

 Not mortgaged H0570002 9 N 1,2

H58. MORTGAGE STATUS(2) BY SELECTED MONTHLY OWNER

 COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME IN

 1989(6) [12]

 Universe: Specified owner occupied housing units

 With a mortgage:

 Less than 20 percent H0580001 9 N 1,1

 20 to 24 percent H0580002 9 N 1,2

 25 to 29 percent H0580003 9 N 1,3

 30 to 34 percent H0580004 9 N 1,4

 35 percent or more H0580005 9 N 1,5

 Not computed H0580006 9 N 1,6

 Not mortgaged:

 (Repeat SELECTED MONTHLY OWNER 

 COSTS AS A PERCENTAGE OF HOUSEHOLD 

 INCOME IN 1989) H0580007 54(1) N 2,1

H58A. MEDIAN SELECTED MONTHLY OWNER COSTS AS A

 PERCENTAGE OF HOUSEHOLD INCOME IN 1989 AND

 MORTGAGE STATUS(2) [2]

 1 implied decimal(s)

 Universe: Specified owner occupied housing units

 With a mortgage H058A001 9 N 1

 Not mortgaged H058A002 9 N 2

H59. HOUSEHOLD INCOME IN 1989(5) BY SELECTED MONTHLY

 OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD

 INCOME IN 1989(6) [30]
 Universe: Specified owner occupied housing units

 Less than $10,000:

 Less than 20 percent H0590001 9 N 1,1

 20 to 24 percent H0590002 9 N 1,2

 25 to 29 percent H0590003 9 N 1,3

 30 to 34 percent H0590004 9 N 1,4

 35 percent or more H0590005 9 N 1,5

 Not computed H0590006 9 N 1,6

 $10,000 to $19,999:

 (Repeat SELECTED MONTHLY OWNER COSTS 

 AS A PERCENTAGE OF HOUSEHOLD INCOME 

 IN 1989) H0590007 54(1) N 2,1

 $20,000 to $34,999:

 (Repeat SELECTED MONTHLY OWNER COSTS 

 AS A PERCENTAGE OF HOUSEHOLD INCOME 

 IN 1989) H0590013 54(1) N 3,1

 $35,000 to $49,999:

 (Repeat SELECTED MONTHLY OWNER COSTS 

 AS A PERCENTAGE OF HOUSEHOLD INCOME 

 IN 1989) H0590019 54(1) N 4,1

 $50,000 or more:

 (Repeat SELECTED MONTHLY OWNER COSTS 

 AS A PERCENTAGE OF HOUSEHOLD INCOME 

 IN 1989) H0590025 54(1) N 5,1

H60. AGE OF HOUSEHOLDER(2) BY SELECTED MONTHLY

 OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD

 INCOME IN 1989(6) [12]

 Universe: Specified owner occupied housing units

 15 to 64 years:

 Less than 20 percent H0600001 9 N 1,1

 20 to 24 percent H0600002 9 N 1,2

 25 to 29 percent H0600003 9 N 1,3

 30 to 34 percent H0600004 9 N 1,4

 35 percent or more H0600005 9 N 1,5

 Not computed H0600006 9 N 1,6

 65 years and over:

 (Repeat SELECTED MONTHLY OWNER COSTS 

 AS A PERCENTAGE OF HOUSEHOLD INCOME 

 IN 1989) H0600007 54(1) N 2,1

H61. VALUE(20) [20]

 Universe: Specified owner occupied 

 housing units

 Less than $15,000 H0610001 9 N 1

 $15,000 to $19,999 H0610002 9 N 2

 $20,000 to $24,999 H0610003 9 N 3

 $25,000 to $29,999 H0610004 9 N 4

 $30,000 to $34,999 H0610005 9 N 5

 $35,000 to $39,999 H0610006 9 N 6

 $40,000 to $44,999 H0610007 9 N 7

 $45,000 to $49,999 H0610008 9 N 8

 $50,000 to $59,999 H0610009 9 N 9

 $60,000 to $74,999 H0610010 9 N 10

 $75,000 to $99,999 H0610011 9 N 11

 $100,000 to $124,999 H0610012 9 N 12

 $125,000 to $149,999 H0610013 9 N 13
 $150,000 to $174,999 H0610014 9 N 14

 $175,000 to $199,999 H0610015 9 N 15

 $200,000 to $249,999 H0610016 9 N 16

 $250,000 to $299,999 H0610017 9 N 17

 $300,000 to $399,999 H0610018 9 N 18

 $400,000 to $499,999 H0610019 9 N 19

 $500,000 or more H0610020 9 N 20

H61A. MEDIAN VALUE(1) [1]

 Universe: Specified owner occupied housing units

 Median value H061A001 9 N 1

H62. AGGREGATE VALUE(1) BY MORTGAGE STATUS(2) [2]

 Universe: Specified owner occupied housing units

 Total:

 With a mortgage H0620001 9 N 1,1

 Not mortgaged H0620002 9 N 1,2

H63. AGGREGATE HOUSEHOLD INCOME IN 1989(1) BY TENURE

 AND MORTGAGE STATUS(3) [3]

 Universe: Occupied housing units

 Total:

 Owner occupied:

 With a mortgage H0630001 9 N 1,1

 Not mortgaged H0630002 9 N 1,2

 Renter occupied H0630003 9 N 1,3

H64. PLUMBING FACILITIES(2) [2]

 Universe: Housing units

 Complete plumbing facilities H0640001 9 N 1

 Lacking complete plumbing facilities H0640002 9 N 2

H65. PLUMBING FACILITIES(2) [2]

 Universe: Vacant housing units

 Complete plumbing facilities H0650001 9 N 1

 Lacking complete plumbing facilities H0650002 9 N 2

H66. RACE OF HOUSEHOLDER(5) BY PLUMBING FACILITIES(2) [10]

 Universe: Occupied housing units

 White:

 Complete plumbing facilities H0660001 9 N 1,1

 Lacking complete plumbing facilities H0660002 9 N 1,2

 Black:

 (Repeat PLUMBING FACILITIES) H0660003 18(1) N 2,1

 Asian or Pacific Islander:

 (Repeat PLUMBING FACILITIES) H0660005 18(1) N 4,1

 American Indian, Eskimo, or Aleut:

 (Repeat PLUMBING FACILITIES) H0660007 18(1) N 3,1

 Other race:

 (Repeat PLUMBING FACILITIES) H0660009 18(1) N 5,1

H67. PLUMBING FACILITIES(2) [2]

 Universe: Occupied housing units with householder

 of Hispanic origin

 Complete plumbing facilities H0670001 9 N 1

 Lacking complete plumbing facilities H0670002 9 N 2
H68. AGE OF HOUSEHOLDER(2) BY PLUMBING FACILITIES(2) [4]

 Universe: Occupied housing units

 15 to 64 years:

 Complete plumbing facilities H0680001 9 N 1,1

 Lacking complete plumbing facilities H0680002 9 N 1,2

 65 years and over:

 (Repeat PLUMBING FACILITIES) H0680003 181 N 2,1

H69. TENURE (2) BY PLUMBING FACILITIES(2) BY PERSONS

 PER ROOM(3) [12]

 Universe: Occupied housing units

 Owner occupied:

 Complete plumbing facilities:

 1.00 or less H0690001 9 N 1,1,1

 1.01 to 1.50 H0690002 9 N 1,1,2

 1.51 or more H0690003 9 N 1,1,3

 Lacking complete plumbing facilities:

 (Repeat PERSONS PER ROOM) H0690004 27(1) N 1,2,1

 Renter occupied:

 (Repeat PLUMBING FACILITIES By PERSONS

 PER ROOM) H0690007 54(1) N 2,1,1

H70. PLUMBING FACILITIES(2) BY UNITS IN STRUCTURE(10) [20]

 Universe: Housing units

 Complete plumbing facilities:

 1, detached H0700001 9 N 1,1

 1, attached H0700002 9 N 1,2

 2 H0700003 9 N 1,3

 3 or 4 H0700004 9 N 1,4

 5 to 9 H0700005 9 N 1,5

 10 to 19 H0700006 9 N 1,6

 20 to 49 H0700007 9 N 1,7

 50 or more H0700008 9 N 1,8

 Mobile home or trailer H0700009 9 N 1,9

 Other H0700010 9 N 1,10

 Lacking complete plumbing facilities:

 (Repeat UNITS IN STRUCTURE) H0700011 90(1) N 2,1

H71. PLUMBING FACILITIES(2) BY PERSONS PER ROOM(2)

 BY YEAR STRUCTURE BUILT(2) [8]

 Universe: Occupied housing units

 Complete plumbing facilities:

 1.00 or less:

 1940 to March 1990 H0710001 9 N 1,1,1

 1939 or earlier H0710002 9 N 1,1,2

 1.01 or more:

 (Repeat YEAR STRUCTURE BUILT) H0710003 18(1) N 1,2,1

 Lacking complete plumbing facilities:

 (Repeat PERSONS PER ROOM By YEAR STRUCTURE

 BUILT) H0710005 36(1) N 2,1,1

H72. IMPUTATION OF HOUSING ITEMS(2) [2]

 Universe: Housing units

 No items allocated H0720001 9 N 1

 One or more items allocated H0720002 9 N 2
H73. IMPUTATION OF CONDOMINIUM STATUS(2) [2]

 Universe: Housing units

 Allocated H0730001 9 N 1

 Not allocated H0730002 9 N 2

H74. IMPUTATION OF PLUMBING FACILITIES(2) [2]

 Universe: Housing units

 Allocated H0740001 9 N 1

 Not allocated H0740002 9 N 2

H75. IMPUTATION OF SOURCE OF WATER(2) [2]

 Universe: Housing units

 Allocated H0750001 9 N 1

 Not allocated H0750002 9 N 2

H76. IMPUTATION OF SEWAGE DISPOSAL(2) [2]

 Universe: Housing units

 Allocated H0760001 9 N 1

 Not allocated H0760002 9 N 2

H77. IMPUTATION OF YEAR STRUCTURE BUILT(2) [2]

 Universe: Housing units

 Allocated H0770001 9 N 1

 Not allocated H0770002 9 N 2

H78. IMPUTATION OF YEAR HOUSEHOLDER MOVED INTO

 UNIT(2) [2]

 Universe: Occupied housing units

 Allocated H0780001 9 N 1

 Not allocated H0780002 9 N 2

H79. IMPUTATION OF HOUSE HEATING FUEL(2) [2]

 Universe: Occupied housing units

 Allocated H0790001 9 N 1

 Not allocated H0790002 9 N 2

H80. IMPUTATION OF KITCHEN FACILITIES(2) [2]

 Universe: Housing units

 Allocated H0800001 9 N 1

 Not allocated H0800002 9 N 2

H81. IMPUTATION OF BEDROOMS(2) [2]

 Universe: Housing units

 Allocated H0810001 9 N 1

 Not allocated H0810002 9 N 2

H82. IMPUTATION OF TELEPHONE IN HOUSING UNIT(2) [2]

 Universe: Occupied housing units

 Allocated H0820001 9 N 1

 Not allocated H0820002 9 N 2

H83. IMPUTATION OF VEHICLES AVAILABLE(2) [2]

 Universe: Occupied housing units

 Allocated H0830001 9 N 1

 Not allocated H0830002 9 N 2
H84. IMPUTATION OF MORTGAGE STATUS(2) [2]

 Universe: Specified owner occupied housing units

 Allocated H0840001 9 N 1

 Not allocated H0840002 9 N 2

H85. IMPUTATION OF TENURE(2) [2]

 Universe: Occupied housing units

 Allocated H0850001 9 N 1

 Not allocated H0850002 9 N 2

H86. IMPUTATION OF VACANCY STATUS(2) [2]

 Universe: Vacant housing units

 Allocated H0860001 9 N 1

 Not allocated H0860002 9 N 2

H87. IMPUTATION OF ROOMS(2) [2]

 Universe: Housing units

 Allocated H0870001 9 N 1

 Not allocated H0870002 9 N 2

H88. IMPUTATION OF UNITS IN STRUCTURE(2) [2]

 Universe: Housing units

 Allocated H0880001 9 N 1

 Not allocated H0880002 9 N 2

H89. IMPUTATION OF VALUE(2) [2]

 Universe: Specified owner occupied housing units

 Allocated H0890001 9 N 1

 Not allocated H0890002 9 N 2

H90. IMPUTATION OF MEALS INCLUDED IN RENT(2) [2]

 Universe: Specified renter occupied housing units paying

 cash rent

 Allocated H0900001 9 N 1

 Not allocated H0900002 9 N 2

H91. IMPUTATION OF GROSS RENT(2) [2]

 Universe: Specified renter occupied housing units

 Allocated H0910001 9 N 1

 Not allocated H0910002 9 N 2

H92. IMPUTATION OF MORTGAGE STATUS AND SELECTED

 MONTHLY OWNER COSTS(4) [4]

 Universe: Specified owner occupied housing units

 With a mortgage:

 Allocated H0920001 9 N 1

 Not allocated H0920002 9 N 2

 Not mortgaged:

 Allocated H0920003 9 N 3

 Not allocated H0920004 9 N 4

 End of Record

(1)This field size includes all fields in the repeat within the table.

(2)Repeat refers to items in previous table.
TABLE (MATRIX) OUTLINES

Table Total number

(matrix) Title of data cells

P1. PERSONS(1) 1

 Universe: Persons

 Total

P2. UNWEIGHTED SAMPLE COUNT OF PERSONS(1) 1

 Universe: Persons

 Total

P3. 100-PERCENT COUNT OF PERSONS(1) 1

 Universe: Persons

 Total

P3A. PERCENT OF PERSONS IN SAMPLE(1) 1

 Universe: Persons

 Total

P4. FAMILIES(1) 1

 Universe: Families

 Total

P5. HOUSEHOLDS(1) 1

 Universe: Households

 Total

P6. URBAN AND RURAL(4) 4

 Universe: Persons

 Urban:

 Inside urbanized area

 Outside urbanized area

 Rural:

 Farm

 Nonfarm

P7. SEX(2) 2

 Universe: Persons

 Male

 Female

P8. RACE(5) 5

 Universe: Persons

 White

 Black

 American Indian, Eskimo, or Aleut Asian or Pacific Islander

 Other race

P9. RACE(25) 25

 Universe: Persons

 White (800-869, 971)

 Black (870-934, 972)

 American Indian, Eskimo, or Aleut (000-599, 935-970, 973-975):

 American Indian (000-599, 973)

 Eskimo (935-940, 974)

 Aleut (941-970, 975)

 Asian or Pacific Islander (600-699, 976-985):

 Asian (600-652, 976, 977, 979-982, 985):

 Chinese (605-607, 976)

 Filipino (608, 977)

 Japanese (611, 981)

 Asian Indian (600, 982)

 Korean (612, 979)
 Vietnamese (619, 980)

 Cambodian (604)

 Hmong (609)

 Laotian (613)

 Thai (618)

 Other Asian (601-603, 610, 614-617, 620-652, 985)

 Pacific Islander (653-699, 978, 983, 984):

 Polynesian (653-659, 978, 983):

 Hawaiian (653, 654, 978)

 Samoan (655, 983)

 Tongan (657)

 Other Polynesian (656, 658, 659)

 Micronesian (660-675, 984):

 Guamanian (660, 984)

 Other Micronesian (661-675)

 Melanesian (676-680)

 Pacific Islander, not specified (681-699)

 Other race (700-799, 986-999)

P10. PERSONS OF HISPANIC ORIGIN(1) 1

 Universe: Persons of Hispanic origin

 Total

P11. HISPANIC ORIGIN(16) 16

 Universe: Persons

 Not of Hispanic origin (000-001, 006-199)

 Hispanic origin (002-005, 200-999):

 Mexican (002, 210-220)

 Puerto Rican (003, 261-270)

 Cuban (004, 271-274)

 Other Hispanic (005, 200-209, 221-260, 275-999):

 Dominican (Dominican Republic) (275-289)

 Central American (221-230):

 Guatemalan (222)

 Honduran (223)

 Nicaraguan (224)

 Panamanian (225)

 Salvadoran (226)

 Other Central American (221, 227-230)

 South American (231-249):

 Colombian (234)

 Ecuadorian (235)

 Peruvian (237)

 Other South American (231-233, 236, 238-249)

 Other Hispanic (005, 200-209, 250-260, 290-999)

P12. HISPANIC ORIGIN(2) BY RACE(5) 10

 Universe: Persons

 Not of Hispanic origin:

 White

 Black

 American Indian, Eskimo, or Aleut

 Asian or Pacific Islander

 Other race

 Hispanic origin:

 (Repeat RACE)

P13. AGE(31) 31

 Universe: Persons

 Under 1 year

 1 and 2 years
 3 and 4 years

 5 years

 6 years

 7 to 9 years

 10 and 11 years

 12 and 13 years

 14 years

 15 years

 16 years

 17 years

 18 years

 19 years

 20 years

 21 years

 22 to 24 years

 25 to 29 years

 30 to 34 years

 35 to 39 years

 40 to 44 years

 45 to 49 years

 50 to 54 years

 55 to 59 years

 60 and 61 years

 62 to 64 years

 65 to 69 years

 70 to 74 years

 75 to 79 years

 80 to 84 years

 85 years and over

P14A. RACE(1) BY SEX(1) BY AGE(31) 31

 Universe: White males

 White:

 Male:

 Under 1 year

 1 and 2 years

 3 and 4 years

 5 years

 6 years

 7 to 9 years

 10 and 11 years

 12 and 13 years

 14 years

 15 years

 16 years

 17 years

 18 years

 19 years

 20 years

 21 years

 22 to 24 years

 25 to 29 years

 30 to 34 years

 35 to 39 years

 40 to 44 years

 45 to 49 years

 50 to 54 years

 55 to 59 years
 60 and 61 years

 62 to 64 years

 65 to 69 years

 70 to 74 years

 75 to 79 years

 80 to 84 years

 85 years and over

P14B. RACE(1) BY SEX(1) BY AGE(31) 31

 Universe: White females

 White:

 Female:

 Under 1 year

 1 and 2 years

 3 and 4 years

 5 years

 6 years

 7 to 9 years

 10 and 11 years

 12 and 13 years

 14 years

 15 years

 16 years

 17 years

 18 years

 19 years

 20 years

 21 years

 22 to 24 years

 25 to 29 years

 30 to 34 years

 35 to 39 years

 40 to 44 years

 45 to 49 years

 50 to 54 years

 55 to 59 years

 60 and 61 years

 62 to 64 years

 65 to 69 years

 70 to 74 years

 75 to 79 years

 80 to 84 years

 85 years and over

P14C. RACE(1) BY SEX(1) BY AGE(31) 31

 Universe: Black males

 Black:

 Male:

 Under 1 year

 1 and 2 years

 3 and 4 years

 5 years

 6 years

 7 to 9 years

 10 and 11 years

 12 and 13 years

 14 years

 15 years

 16 years
 17 years

 18 years

 19 years

 20 years

 21 years

 22 to 24 years

 25 to 29 years

 30 to 34 years

 35 to 39 years

 40 to 44 years

 45 to 49 years

 50 to 54 years

 55 to 59 years

 60 and 61 years

 62 to 64 years

 65 to 69 years

 70 to 74 years

 75 to 79 years

 80 to 84 years

 85 years and over

P14D. RACE(1) BY SEX(1) BY AGE(31) 31

 Universe: Black females

 Black:

 Female:

 Under 1 year

 1 and 2 years

 3 and 4 years

 5 years

 6 years

 7 to 9 years

 10 and 11 years

 12 and 13 years

 14 years

 15 years

 16 years

 17 years

 18 years

 19 years

 20 years

 21 years

 22 to 24 years

 25 to 29 years

 30 to 34 years

 35 to 39 years

 40 to 44 years

 45 to 49 years

 50 to 54 years

 55 to 59 years

 60 and 61 years

 62 to 64 years

 65 to 69 years

 70 to 74 years

 75 to 79 years

 80 to 84 years

 85 years and over

P14E. RACE(1) BY SEX(1) BY AGE(31) 31

 Universe: American Indian, Eskimo, or Aleut males
 American Indian, Eskimo, or Aleut:

 Male:

 Under 1 year

 1 and 2 years

 3 and 4 years

 5 years

 6 years

 7 to 9 years

 10 and 11 years

 12 and 13 years

 14 years

 15 years

 16 years

 17 years

 18 years

 19 years

 20 years

 21 years

 22 to 24 years

 25 to 29 years

 30 to 34 years

 35 to 39 years

 40 to 44 years

 45 to 49 years

 50 to 54 years

 55 to 59 years

 60 and 61 years

 62 to 64 years

 65 to 69 years

 70 to 74 years

 75 to 79 years

 80 to 84 years

 85 years and over

P14F. RACE(1) BY SEX(1) BY AGE(31) 31

 Universe: American Indian, Eskimo, or Aleut females

 American Indian, Eskimo, or Aleut:

 Female:

 Under 1 year

 1 and 2 years

 3 and 4 years

 5 years

 6 years

 7 to 9 years

 10 and 11 years

 12 and 13 years

 14 years

 15 years

 16 years

 17 years

 18 years

 19 years

 20 years

 21 years

 22 to 24 years

 25 to 29 years

 30 to 34 years

 35 to 39 years
 40 to 44 years

 45 to 49 years

 50 to 54 years

 55 to 59 years

 60 and 61 years

 62 to 64 years

 65 to 69 years

 70 to 74 years

 75 to 79 years

 80 to 84 years

 85 years and over

P14G. RACE(1) BY SEX(1) BY AGE(31) 31

 Universe: Asian and Pacific Islander males

 Asian and Pacific Islander:

 Male:

 Under 1 year

 1 and 2 years

 3 and 4 years

 5 years

 6 years

 7 to 9 years

 10 and 11 years

 12 and 13 years

 14 years

 15 years

 16 years

 17 years

 18 years

 19 years

 20 years

 21 years

 22 to 24 years

 25 to 29 years

 30 to 34 years

 35 to 39 years

 40 to 44 years

 45 to 49 years

 50 to 54 years

 55 to 59 years

 60 and 61 years

 62 to 64 years

 65 to 69 years

 70 to 74 years

 75 to 79 years

 80 to 84 years

 85 years and over

P14H. RACE(1) BY SEX(1) BY AGE(31) 31

 Universe: Asian and Pacific Islander females

 Asian and Pacific Islander:

 Female:

 Under 1 year

 1 and 2 years

 3 and 4 years

 5 years

 6 years

 7 to 9 years

 10 and 11 years
 12 and 13 years

 14 years

 15 years

 16 years

 17 years

 18 years

 19 years

 20 years

 21 years

 22 to 24 years

 25 to 29 years

 30 to 34 years

 35 to 39 years

 40 to 44 years

 45 to 49 years

 50 to 54 years

 55 to 59 years

 60 and 61 years

 62 to 64 years

 65 to 69 years

 70 to 74 years

 75 to 79 years

 80 to 84 years

 85 years and over

P14I. RACE(1) BY SEX(1) BY AGE(31) 31

 Universe: Other race males

 Other race:

 Male:

 Under 1 year

 1 and 2 years

 3 and 4 years

 5 years

 6 years

 7 to 9 years

 10 and 11 years

 12 and 13 years

 14 years

 15 years

 16 years

 17 years

 18 years

 19 years

 20 years

 21 years

 22 to 24 years

 25 to 29 years

 30 to 34 years

 35 to 39 years

 40 to 44 years

 45 to 49 years

 50 to 54 years

 55 to 59 years

 60 and 61 years

 62 to 64 years

 65 to 69 years

 70 to 74 years

 75 to 79 years
 80 to 84 years

 85 years and over

P14J. RACE(1) BY SEX(1) BY AGE(31) 31

 Universe: Other race females

 Other race:

 Female:

 Under 1 year

 1 and 2 years

 3 and 4 years

 5 years

 6 years

 7 to 9 years

 10 and 11 years

 12 and 13 years

 14 years

 15 years

 16 years

 17 years

 18 years

 19 years

 20 years

 21 years

 22 to 24 years

 25 to 29 years

 30 to 34 years

 35 to 39 years

 40 to 44 years

 45 to 49 years

 50 to 54 years

 55 to 59 years

 60 and 61 years

 62 to 64 years

 65 to 69 years

 70 to 74 years

 75 to 79 years

 80 to 84 years

 85 years and over

P15A. SEX(1) BY AGE(31) 31

 Universe: Males of Hispanic origin

 Male:

 Under 1 year

 1 and 2 years

 3 and 4 years

 5 years

 6 years

 7 to 9 years

 10 and 11 years

 12 and 13 years

 14 years

 15 years

 16 years

 17 years

 18 years

 19 years

 20 years

 21 years

 22 to 24 years
 25 to 29 years

 30 to 34 years

 35 to 39 years

 40 to 44 years

 45 to 49 years

 50 to 54 years

 55 to 59 years

 60 and 61 years

 62 to 64 years

 65 to 69 years

 70 to 74 years

 75 to 79 years

 80 to 84 years

 85 years and over

P15B. SEX(1) BY AGE(31) 31

 Universe: Females of Hispanic origin

 Female:

 Under 1 year

 1 and 2 years

 3 and 4 years

 5 years

 6 years

 7 to 9 years

 10 and 11 years

 12 and 13 years

 14 years

 15 years

 16 years

 17 years

 18 years

 19 years

 20 years

 21 years

 22 to 24 years

 25 to 29 years

 30 to 34 years

 35 to 39 years

 40 to 44 years

 45 to 49 years

 50 to 54 years

 55 to 59 years

 60 and 61 years

 62 to 64 years

 65 to 69 years

 70 to 74 years

 75 to 79 years

 80 to 84 years

 85 years and over

P16. PERSONS IN HOUSEHOLD(7) 7

 Universe: Households

 1 person

 2 persons

 3 persons

 4 persons

 5 persons

 6 persons

 7 or more persons
P17. HOUSEHOLD TYPE AND RELATIONSHIP(15) 15

 Universe: Persons

 In family households:

 Householder

 Spouse

 Child:

 Natural-born or adopted

 Step

 Grandchild

 Other relatives

 Nonrelatives

 In nonfamily households:

 Male householder:

 Living alone

 Not living alone

 Female householder:

 Living alone

 Not living alone

 Nonrelatives

 In group quarters:

 Institutionalized persons

 Other persons in group quarters

 Filler

P18. HOUSEHOLD TYPE AND RELATIONSHIP(12) 12

 Universe: Persons 65 years and over

 In family households:

 Householder

 Spouse

 Other relatives

 Nonrelatives

 In nonfamily households:

 Male householder:

 Living alone

 Not living alone

 Female householder:

 Living alone

 Not living alone

 Nonrelatives

 In group quarters:

 Institutionalized persons

 Other persons in group quarters

 Filler

P19. HOUSEHOLD TYPE AND PRESENCE AND AGE OF CHILDREN(7) 7

 Universe: Households

 Family households:

 Married-couple family:

 With own children under 18 years

 No own children under 18 years

 Other family:

 Male householder, no wife present:

 With own children under 18 years

 No own children under 18 years

 Female householder, no husband present:

 With own children under 18 years

 No own children under 18 years

 Nonfamily households
P20. RACE OF HOUSEHOLDER(5) BY HOUSEHOLD TYPE AND PRESENCE AND 

 AGE OF CHILDREN(7) 35

 Universe: Households

 White:

 Family households:

 Married-couple family:

 With own children under 18 years

 No own children under 18 years

 Other family:

 Male householder, no wife present:

 With own children under 18 years

 No own children under 18 years

 Female householder, no husband present:

 With own children under 18 years

 No own children under 18 years

 Nonfamily households

 Black:

 (Repeat HOUSEHOLD TYPE AND PRESENCE AND AGE OF CHILDREN)

 American Indian, Eskimo, or Aleut:

 (Repeat HOUSEHOLD TYPE AND PRESENCE AND AGE OF CHILDREN)

 Asian or Pacific Islander:

 (Repeat HOUSEHOLD TYPE AND PRESENCE AND AGE OF CHILDREN)

 Other race:

 (Repeat HOUSEHOLD TYPE AND PRESENCE AND AGE OF CHILDREN)

P21. HOUSEHOLD TYPE AND PRESENCE AND AGE OF CHILDREN(7) 7

 Universe: Households with householder of Hispanic origin

 Family households:

 Married-couple family:

 With own children under 18 years

 No own children under 18 years

 Other family:

 Male householder, no wife present:

 With own children under 18 years

 No own children under 18 years

 Female householder, no husband present:

 With own children under 18 years

 No own children under 18 years

 Nonfamily households

P22. FAMILY TYPE AND PRESENCE AND AGE OF CHILDREN(6) 6

 Universe: Families

 Married-couple family:

 With children 18 years and over

 No children 18 years and over

 Other family:

 Male householder, no wife present:

 With children 18 years and over

 No children 18 years and over

 Female householder, no husband present:

 With children 18 years and over

 No children 18 years and over

P23. FAMILY TYPE AND AGE OF CHILDREN(21) 21

 Universe: Own children under 18 years

 In married-couple family:

 Under 3 years

 3 and 4 years

 5 years

 6 to 11 years
 12 and 13 years

 14 years

 15 to 17 years

 In other family:

 Male householder, no wife present:

 Under 3 years

 3 and 4 years

 5 years

 6 to 11 years

 12 and 13 years

 14 years

 15 to 17 years

 Female householder, no husband present:

 Under 3 years

 3 and 4 years

 5 years

 6 to 11 years

 12 and 13 years

 14 years

 15 to 17 years

P24. HOUSEHOLD TYPE(2) BY AGE OF HOUSEHOLDER(7) 14

 Universe: Households

 Family households:

 15 to 24 years

 25 to 34 years

 35 to 44 years

 45 to 54 years

 55 to 64 years

 65 to 74 years

 75 years and over

 Nonfamily households:

 (Repeat AGE OF HOUSEHOLDER)

P25. SUBFAMILY TYPE AND PRESENCE AND AGE OF CHILDREN(4) 4

 Universe: Subfamilies

 Married-couple subfamily:

 With own children under 18 years

 No own children under 18 years

 Mother-child subfamily

 Father-child subfamily

P26. SUBFAMILY TYPE AND RELATIONSHIP(7) 7

 Universe: Persons in subfamilies

 Persons in married-couple subfamily:

 Reference person

 Spouse

 Child

 Persons in mother-child subfamily:

 Parent

 Child

 Persons in father-child subfamily:

 Parent

 Child

P27. SEX(2) BY MARITAL STATUS(6) 12

 Universe: Persons 15 years and over

 Male:

 Never married

 Now married:

 Married, spouse present
 Married, spouse absent:

 Separated

 Other

 Widowed

 Divorced

 Female:

 (Repeat MARITAL STATUS)

P28. AGE(3) BY LANGUAGE SPOKEN AT HOME AND ABILITY TO SPEAK ENGLISH(10) 30

 Universe: Persons 5 years and over

 5 to 17 years:

 Speak only English

 Speak Spanish:

 Speak English “very well”

 Speak English “well”

 Speak English “not well” or “not at all”

 Speak Asian or Pacific Island language:

 Speak English “very well”

 Speak English “well”

 Speak English “not well” or “not at all”

 Speak other language:

 Speak English “very well”

 Speak English “well”

 Speak English “not well” or “not at all”

 18 to 64 years:

 (Repeat LANGUAGE SPOKEN AT HOME AND ABILITY TO SPEAK ENGLISH)

 65 years and over:

 (Repeat LANGUAGE SPOKEN AT HOME AND ABILITY TO SPEAK ENGLISH)

P29. HOUSEHOLD LANGUAGE AND LINGUISTIC ISOLATION(7) 7

 Universe: Households

 English

 Spanish:

 Linguistically isolated

 Not linguistically isolated

 Asian or Pacific Island language:

 Linguistically isolated

 Not linguistically isolated

 Other language:

 Linguistically isolated

 Not linguistically isolated

P30. AGE, LANGUAGE SPOKEN AT HOME, AND LINGUISTIC ISOLATION(33) 33

 Universe: Persons 5 years and over

 Persons in households:

 5 to 13 years:

 Speak only English:

 Linguistically isolated:

 Spanish spoken in household

 Asian or Pacific Island language spoken in household

 Other language spoken in household

 Not linguistically isolated

 Speak Spanish:

 Linguistically isolated

 Not linguistically isolated

 Speak Asian or Pacific Island language:

 Linguistically isolated

 Not linguistically isolated

 Speak other language:

 Linguistically isolated
 Not linguistically isolated

 14 to 17 years:

 Speak only English

 Speak Spanish:

 Linguistically isolated

 Not linguistically isolated

 Speak Asian or Pacific Island language:

 Linguistically isolated

 Not linguistically isolated

 Speak other language:

 Linguistically isolated

 Not linguistically isolated

 18 to 64 years:

 Speak only English

 Speak Spanish:

 Linguistically isolated

 Not linguistically isolated

 Speak Asian or Pacific Island language:

 Linguistically isolated

 Not linguistically isolated

 Speak other language:

 Linguistically isolated

 Not linguistically isolated

 65 years and over:

 Speak only English

 Speak Spanish:

 Linguistically isolated

 Not linguistically isolated

 Speak Asian or Pacific Island language:

 Linguistically isolated

 Not linguistically isolated

 Speak other language:

 Linguistically isolated

 Not linguistically isolated

 Persons in group quarters

 Filler

P31. LANGUAGE SPOKEN AT HOME(26) 26

 Universe: Persons 5 years and over

 Speak only English

 German (607, 613)

 Yiddish (609)

 Other West Germanic language (608, 610-612)

 Scandinavian (614-618)

 Greek (637)

 Indic (662-678)

 Italian (619)

 French or French Creole (620-624)

 Portuguese or Portuguese Creole (629-630)

 Spanish or Spanish Creole (625, 627-628)

 Polish (645)

 Russian (639)

 South Slavic (647-652)

 Other Slavic language (640-644, 646)

 Other Indo-European language (601-606, 626, 631-636, 638, 653-661)

 Arabic (777)

 Tagalog (742)

 Chinese (708-715)
 Hungarian (682)

 Japanese (723)

 Mon-Khmer (726)

 Korean (724)

 Native North American languages (800-955, 959-966, 977-982)

 Vietnamese (728)

 Other and unspecified languages (679-681, 683-707, 716-722, 725, 

 727, 729-741,743-776, 778-799, 956-958, 967-976, 983-999)

P32. ANCESTRY(4) 4

 Universe: Persons

 Ancestry specified:

 Single ancestry

 Multiple ancestry

 Ancestry unclassified

 Ancestry not reported

P33. ANCESTRY(36) 36

 Universe: Persons

 First ancestry reported (000-999):

 Arab (400-415, 417-418, 421-430, 435-481, 490-499)

 Austrian (003-004)

 Belgian (008-010)

 Canadian (931-934)

 Czech (111-114)

 Danish (020, 023)

 Dutch (021, 029)

 English (015, 022)

 Finnish (024-025)

 French (except Basque) (000-001, 016, 026-028, 083)

 French Canadian (935-938)

 German (032-045)

 Greek (046-048)

 Hungarian (125-126)

 Irish (050, 081, 099)

 Italian (030-031, 051-074)

 Lithuanian (129)

 Norwegian (082)

 Polish (142-143)

 Portuguese (084-086)

 Romanian (144-147)

 Russian (148-151)

 Scotch-Irish (087)

 Scottish (088)

 Slovak (153)

 Subsaharan African (500-599)

 Swedish (089-090)

 Swiss (091-096)

 Ukrainian (171-174)

 United States or American (939-994)

 Welsh (097)

 West Indian (excluding Hispanic origin groups) (300-359)

 Yugoslavian (152, 154, 176-177)

 Race or Hispanic origin groups (200-299, 900-928)

 Other groups (002, 005-007, 011-014, 017-019, 049, 075-080, 

 098, 100-110, 115-124, 127-128, 130-141, 155-170, 175, 178-199, 

 360-399, 416, 419-420, 431-434, 482-489, 600-862, 929-930, 998)

 Unclassified or not reported (863-899, 995-997, 999)
P34. ANCESTRY(36) 36

 Universe: Persons

 Second ancestry reported (000-999):

 Arab (400-415, 417-418, 421-430, 435-481, 490-499)

 Austrian (003-004)

 Belgian (008-010)

 Canadian (931-934)

 Czech (111-114)

 Danish (020, 023)

 Dutch (021, 029)

 English (015, 022)

 Finnish (024-025)

 French (except Basque) (000-001, 016, 026-028, 083)

 French Canadian (935-938)

 German (032-045)

 Greek (046-048)

 Hungarian (125-126)

 Irish (050, 081, 099)

 Italian (030-031, 051-074)

 Lithuanian (129)

 Norwegian (082)

 Polish (142-143)

 Portuguese (084-086)

 Romanian (144-147)

 Russian (148-151)

 Scotch-Irish (087)

 Scottish (088)

 Slovak (153)

 Subsaharan African (500-599)

 Swedish (089-090)

 Swiss (091-096)

 Ukrainian (171-174)

 United States or American (939-994)

 Welsh (097)

 West Indian (excluding Hispanic origin groups) (300-359)

 Yugoslavian (152, 154, 176-177)

 Race or Hispanic origin groups (200-299, 900-928)

 Other groups (002, 005-007, 011-014, 017-019, 049, 075-080, 098, 

 100-110,115-124,127-128, 130-141, 155-170, 175, 178-199, 360-399, 

 416, 419-420, 431-434,482-489,600-862, 929-930, 998)

 Unclassified or not reported (863-899, 995-997, 999)

P35. ANCESTRY(37) 37

 Universe: Persons

 Reported single ancestry (000-862, 900-994, 998):

 Arab (400-415, 417-418, 421-430, 435-481, 490-499)

 Austrian (003-004)

 Belgian (008-010)

 Canadian (931-934)

 Czech (111-114)

 Danish (020, 023)

 Dutch (021, 029)

 English (015, 022)

 Finnish (024-025)

 French (except Basque) (000-001, 016, 026-028, 083)

 French Canadian (935-938)

 German (032-045)

 Greek (046-048)
 Hungarian (125-126)

 Irish (050, 081, 099)

 Italian (030-031, 051-074)

 Lithuanian (129)

 Norwegian (082)

 Polish (142-143)

 Portuguese (084-086)

 Romanian (144-147)

 Russian (148-151)

 Scotch-Irish (087)

 Scottish (088)

 Slovak (153)

 Subsaharan African (500-599)

 Swedish (089-090)

 Swiss (091-096)

 Ukrainian (171-174)

 United States or American (939-994)

 Welsh (097)

 West Indian (excluding Hispanic origin groups) (300-359)

 Yugoslavian (152, 154, 176-177)

 Race or Hispanic origin groups (200-299, 900-928)

 Other groups (002, 005-007, 011-014, 017-019, 049, 075-080, 098, 

 100-110,115-124,127-128, 130-141, 155-170, 175, 178-199, 360-399, 

 416, 419-420, 431-434,482-489,600-862, 929-930, 998)

 Reported multiple ancestry (000-998)

 Unclassified or not reported (863-899, 995-997, 999)

P36. YEAR OF ENTRY(10) 10

 Universe: Foreign-born persons

 1987 to 1990

 1985 or 1986

 1982 to 1984

 1980 or 1981

 1975 to 1979

 1970 to 1974

 1965 to 1969

 1960 to 1964

 1950 to 1959

 Before 1950

P37. AGE(2) BY CITIZENSHIP(3) 6

 Universe: Persons

 Under 18 years:

 Native

 Foreign born:

 Naturalized citizen

 Not a citizen

 18 years and over:

 (Repeat CITIZENSHIP)

P38. MARITAL STATUS(2) BY AGE(4) 8

 Universe: Females 15 years and over

 Never married:

 15 to 24 years

 25 to 34 years

 35 to 44 years

 45 years and over

 Ever married:

 (Repeat AGE)
P39. AGGREGATE NUMBER OF CHILDREN EVER BORN(1) BY MARITAL STATUS(2) 

 BY AGE(4) 8

 Universe: Females 15 years and over

 Total:

 Never married:

 15 to 24 years

 25 to 34 years

 35 to 44 years

 45 years and over

 Ever married:

 (Repeat AGE)

P40. GROUP QUARTERS(10) 10

 Universe: Persons in group quarters

 Institutionalized persons (00I-99I):

 Correctional institutions (20I-24I, 27I, 28I, 95I)

 Nursing homes (60I-67I)

 Mental (Psychiatric) hospitals (45I-48I)

 Juvenile institutions (01I-05I, 10I-12I, 15I)

 Other institutions (00I, 06I-09I, 13I, 14I, 16I-19I, 25I, 26I, 

 29I-44I,49I-59I,68I-94I, 96I-99I)

 Other persons in group quarters (00N-99N):

 College dormitories (87N)

 Military quarters (96N-98N)

 Emergency shelters for homeless persons (82N, 83N)

 Visible in street locations (84N, 85N)

 Other noninstitutional group quarters (00N-81N,86N,88N-95N,99N)

P41. GROUP QUARTERS(2) BY AGE(3) 6

 Universe: Persons in group quarters

 Institutionalized persons:

 Under 18 years

 18 to 64 years

 65 years and over

 Other persons in group quarters:

 (Repeat AGE)

P42. PLACE OF BIRTH(9) 9

 Universe: Persons

 Native (001-099):

 Born in State of residence

 Born in other State in the United States (001-059):

 Northeast (009, 023, 025, 033-034, 036, 042-044, 050)

 Midwest (017-020, 026-027, 029, 031, 038-039, 046, 055)

 South (001, 005, 010-014, 021-022, 024, 028, 037, 040, 045, 

 047-048, 051-052, 054)

 West (002-004, 006-008, 015-016, 030, 032, 035, 041, 049, 

 053, 056-059)

 Born outside the United States (060-099):

 Puerto Rico (072-075)

 U.S. outlying area (060-071, 076-099)

 Born abroad of American parent(s)

 Foreign born (100-999)

P43. RESIDENCE IN 1985--STATE AND COUNTY LEVEL(10) 10

 Universe: Persons 5 years and over

 Same house in 1985

 Different house in United States in 1985:

 Same county

 Different county:

 Same State
 Different State:

 Northeast

 Midwest

 South

 West

 Abroad in 1985:

 Puerto Rico

 U.S. outlying area

 Foreign country

P44. RESIDENCE IN 1985--MSA/PMSA LEVEL(12) 12

 Universe: Persons 5 years and over

 Living in an MSA/PMSA in 1990:

 Same house in 1985

 Different house in United States in 1985:

 This MSA/PMSA in 1985:

 Central city

 Remainder of this MSA/PMSA

 Different MSA/PMSA in 1985:

 Central city

 Remainder of different MSA/PMSA

 Not in an MSA/PMSA in 1985

 Abroad in 1985

 Not living in an MSA/PMSA in 1990:

 Same house in 1985

 Different house in United States in 1985:

 In an MSA/PMSA in 1985:

 Central city

 Remainder of MSA/PMSA

 Not in an MSA/PMSA in 1985

 Abroad in 1985

P45. PLACE OF WORK--STATE AND COUNTY LEVEL(3) 3

 Universe: Workers 16 years and over

 Worked in State of residence:

 Worked in county of residence

 Worked outside county of residence

 Worked outside State of residence

P46. PLACE OF WORK--PLACE LEVEL(3) 3

 Universe: Workers 16 years and over

 Living in a place:

 Worked in place of residence

 Worked outside place of residence

 Not living in a place

P47. PLACE OF WORK--MSA/PMSA LEVEL(8) 8

 Universe: Workers 16 years and over

 Living in an MSA/PMSA:

 Worked in MSA/PMSA of residence:

 Central city

 Remainder of this MSA/PMSA

 Worked outside MSA/PMSA of residence:

 Worked in a different MSA/PMSA:

 Central city

 Remainder of different MSA/PMSA

 Worked outside any MSA/PMSA

 Not living in an MSA/PMSA:

 Worked in an MSA/PMSA:

 Central city

 Remainder of MSA/PMSA
 Worked outside any MSA/PMSA

P48. PLACE OF WORK--MINOR CIVIL DIVISION LEVEL(3) 3

 Universe: Workers 16 years and over

 Living in the 9 Northeastern States:

 Worked in the minor civil division of residence

 Worked outside minor civil division of residence

 Not living in the 9 Northeastern States

P49. MEANS OF TRANSPORTATION TO WORK(13) 13

 Universe: Workers 16 years and over

 Car, truck, or van:

 Drove alone

 Carpooled

 Public transportation:

 Bus or trolley bus

 Streetcar or trolley car

 Subway or elevated

 Railroad

 Ferryboat

 Taxicab

 Motorcycle

 Bicycle

 Walked

 Other means

 Worked at home

P50. TRAVEL TIME TO WORK(13) 13

 Universe: Workers 16 years and over

 Did not work at home:

 Less than 5 minutes

 5 to 9 minutes

 10 to 14 minutes

 15 to 19 minutes

 20 to 24 minutes

 25 to 29 minutes

 30 to 34 minutes

 35 to 39 minutes

 40 to 44 minutes

 45 to 59 minutes

 60 to 89 minutes

 90 or more minutes

 Worked at home

P51. AGGREGATE TRAVEL TIME TO WORK (IN MINUTES)(1) 1

 Universe: Workers 16 years and over who did not work at home

 Total

P52. TIME LEAVING HOME TO GO TO WORK(15) 15

 Universe: Workers 16 years and over

 Did not work at home:

 12:00 a. m. to 4:59 a. m. 

 5:00 a. m. to 5:29 a. m. 

 5:30 a. m. to 5:59 a. m. 

 6:00 a. m. to 6:29 a. m. 

 6:30 a. m. to 6:59 a. m. 

 7:00 a. m. to 7:29 a. m. 

 7:30 a. m. to 7:59 a. m. 

 8:00 a. m. to 8:29 a. m. 

 8:30 a. m. to 8:59 a. m. 

 9:00 a. m. to 9:59 a. m. 

 10:00 a. m. to 10:59 a. m. 
 11:00 a. m. to 11:59 a. m. 

 12:00 p. m. to 3:59 p. m. 

 4:00 p. m. to 11:59 p. m. 

 Worked at home

P53. PRIVATE VEHICLE OCCUPANCY(8) 8

 Universe: Workers 16 years and over

 Car, truck, or van:

 Drove alone

 In 2-person carpool

 In 3-person carpool

 In 4-person carpool

 In 5-person carpool

 In 6-person carpool

 In 7-or-more person carpool

 Other means

P54. SCHOOL ENROLLMENT AND TYPE OF SCHOOL(7) 7

 Universe: Persons 3 years and over

 Enrolled in preprimary school:

 Public school

 Private school

 Enrolled in elementary or high school:

 Public school

 Private school

 Enrolled in college:

 Public school

 Private school

 Not enrolled in school

P55. RACE(5) BY SCHOOL ENROLLMENT(4) 20

 Universe: Persons 3 years and over

 White:

 Enrolled in preprimary school

 Enrolled in elementary or high school

 Enrolled in college

 Not enrolled in school

 Black:

 (Repeat SCHOOL ENROLLMENT)

 American Indian, Eskimo, or Aleut:

 (Repeat SCHOOL ENROLLMENT)

 Asian or Pacific Islander:

 (Repeat SCHOOL ENROLLMENT)

 Other race:

 (Repeat SCHOOL ENROLLMENT)

P56. SCHOOL ENROLLMENT(4) 4

 Universe: Persons of Hispanic origin 3 years and over

 Enrolled in preprimary school

 Enrolled in elementary or high school

 Enrolled in college

 Not enrolled in school

P57. EDUCATIONAL ATTAINMENT(7) 7

 Universe: Persons 25 years and over

 Less than 9th grade

 9th to 12th grade, no diploma

 High school graduate (includes equivalency)

 Some college, no degree

 Associate degree

 Bachelor's degree

 Graduate or professional degree
P58. RACE(5) BY EDUCATIONAL ATTAINMENT(7) 35

 Universe: Persons 25 years and over

 White:

 Less than 9th grade

 9th to 12th grade, no diploma

 High school graduate (includes equivalency)

 Some college, no degree

 Associate degree

 Bachelor's degree

 Graduate or professional degree

 Black:

 (Repeat EDUCATIONAL ATTAINMENT)

 American Indian, Eskimo, or Aleut:

 (Repeat EDUCATIONAL ATTAINMENT)

 Asian or Pacific Islander:

 (Repeat EDUCATIONAL ATTAINMENT)

 Other race:

 (Repeat EDUCATIONAL ATTAINMENT)

P59. EDUCATIONAL ATTAINMENT(7) 7

 Universe: Persons of Hispanic origin 25 years and over

 Less than 9th grade

 9th to 12th grade, no diploma

 High school graduate (includes equivalency)

 Some college, no degree

 Associate degree

 Bachelor's degree

 Graduate or professional degree

P60. EDUCATIONAL ATTAINMENT(7) 7

 Universe: Persons 18 years and over

 Less than 9th grade

 9th to 12th grade, no diploma

 High school graduate (includes equivalency)

 Some college, no degree

 Associate degree

 Bachelor's degree

 Graduate or professional degree

P61. SCHOOL ENROLLMENT, EDUCATIONAL ATTAINMENT, AND EMPLOYMENT

 STATUS(13) 13

 Universe: Persons 16 to 19 years

 In Armed Forces:

 Enrolled in school:

 High school graduate

 Not high school graduate

 Not enrolled in school:

 High school graduate

 Not high school graduate

 Civilian:

 Enrolled in school:

 Employed

 Unemployed

 Not in labor force

 Not enrolled in school:

 High school graduate:

 Employed

 Unemployed

 Not in labor force

 Not high school graduate:
 Employed

 Unemployed

 Not in labor force

P62. RACE(5) BY SCHOOL ENROLLMENT, EDUCATIONAL ATTAINMENT, AND 

 EMPLOYMENT STATUS(13) 65

 Universe: Persons 16 to 19 years

 White:

 In Armed Forces:

 Enrolled in school:

 High school graduate

 Not high school graduate

 Not enrolled in school:

 High school graduate

 Not high school graduate

 Civilian:

 Enrolled in school:

 Employed

 Unemployed

 Not in labor force

 Not enrolled in school:

 High school graduate:

 Employed

 Unemployed

 Not in labor force

 Not high school graduate:

 Employed

 Unemployed

 Not in labor force

 Black:

 (Repeat SCHOOL ENROLLMENT, EDUCATIONAL ATTAINMENT, AND 

 EMPLOYMENT STATUS)

 American Indian, Eskimo, or Aleut:

 (Repeat SCHOOL ENROLLMENT, EDUCATIONAL ATTAINMENT, AND 

 EMPLOYMENT STATUS)

 Asian or Pacific Islander:

 (Repeat SCHOOL ENROLLMENT, EDUCATIONAL ATTAINMENT, AND 

 EMPLOYMENT STATUS)

 Other race:

 (Repeat SCHOOL ENROLLMENT, EDUCATIONAL ATTAINMENT, AND 

 EMPLOYMENT STATUS)

P63. SCHOOL ENROLLMENT, EDUCATIONAL ATTAINMENT, AND 

 EMPLOYMENT STATUS(13) 13

 Universe: Persons of Hispanic origin 16 to 19 years

 In Armed Forces:

 Enrolled in school:

 High school graduate

 Not high school graduate

 Not enrolled in school:

 High school graduate

 Not high school graduate

 Civilian:

 Enrolled in school:

 Employed

 Unemployed

 Not in labor force

 Not enrolled in school:

 High school graduate:
 Employed

 Unemployed

 Not in labor force

 Not high school graduate:

 Employed

 Unemployed

 Not in labor force

P64. SEX(2) BY AGE(2) BY VETERAN STATUS(3) 12

 Universe: Persons 16 years and over

 Male:

 16 to 64 years:

 In Armed Forces

 Civilian:

 Veteran

 Nonveteran

 65 years and over:

 (Repeat VETERAN STATUS)

 Female:

 (Repeat AGE By VETERAN STATUS)

P65. PERIOD OF MILITARY SERVICE(13) 13

 Universe: Civilian veterans 16 years and over

 May 1975 or later only:

 September 1980 or later only:

 With less than 2 years of service

 With 2 or more years of service

 May 1975 to August 1980 only

 Both, May 1975 to August 1980 and September 1980 or later

 Vietnam era, no Korean conflict nor World War II

 Vietnam era and Korean conflict, no World War II

 Vietnam era, Korean conflict, and World War II

 February 1955 to July 1964 only

 Korean conflict, no Vietnam era nor World War II

 Korean conflict and World War II, no Vietnam era

 World War II, no Korean conflict nor Vietnam era

 World War I

 Other service

P66. SEX(2) BY AGE(2) BY WORK DISABILITY STATUS AND EMPLOYMENT 

 STATUS(7) 28

 Universe: Civilian noninstitutionalized persons 16 years and over

 Male:

 16 to 64 years:

 With a work disability:

 In labor force:

 Employed

 Unemployed

 Not in labor force:

 Prevented from working

 Not prevented from working

 No work disability:

 In labor force:

 Employed

 Unemployed

 Not in labor force

 65 years and over:

 (Repeat WORK DISABILITY STATUS AND EMPLOYMENT STATUS)

 Female:

 (Repeat AGE By WORK DISABILITY STATUS AND EMPLOYMENT STATUS)
P67. SEX(2) BY AGE(2) BY MOBILITY LIMITATION STATUS(2) BY 

 EMPLOYMENT STATUS(3) 24

 Universe: Civilian noninstitutionalized persons 16 years and over

 Male:

 16 to 64 years:

 With a mobility limitation:

 In labor force:

 Employed

 Unemployed

 Not in labor force

 No mobility limitation:

 (Repeat EMPLOYMENT STATUS)

 65 years and over:

 (Repeat MOBILITY LIMITATION STATUS By EMPLOYMENT STATUS)

 Female:

 (Repeat AGE By MOBILITY LIMITATION STATUS By EMPLOYMENT STATUS)

P68. SEX(2) BY AGE(2) BY WORK DISABILITY STATUS(2) BY MOBILITY AND 

 SELF-CARE LIMITATION STATUS(2) 16

 Universe: Civilian noninstitutionalized persons 16 years and over

 Male:

 16 to 64 years:

 With a work disability:

 With a mobility or self-care limitation

 No mobility or self-care limitation

 No work disability:

 (Repeat MOBILITY AND SELF-CARE LIMITATION STATUS)

 65 years and over:

 (Repeat WORK DISABILITY STATUS By MOBILITY AND SELF-CARE

 LIMITATION STATUS)

 Female:

 (Repeat AGE By WORK DISABILITY STATUS By MOBILITY 

 AND SELF-CARE LIMITATION STATUS)

P69. SEX(2) BY AGE(3) BY MOBILITY AND SELF-CARE LIMITATION STATUS(4) 24

 Universe: Civilian noninstitutionalized persons 16 years and over

 Male:

 16 to 64 years:

 With a mobility or self-care limitation:

 Mobility limitation only

 Self-care limitation only

 Mobility and self-care limitation

 No mobility or self-care limitation

 65 to 74 years:

 (Repeat MOBILITY AND SELF-CARE LIMITATION STATUS)

 75 years and over:

 (Repeat MOBILITY AND SELF-CARE LIMITATION STATUS)

 Female:

 (Repeat AGE By MOBILITY AND SELF-CARE LIMITATION STATUS)

P70. SEX(2) BY EMPLOYMENT STATUS(4) 8

 Universe: Persons 16 years and over

 Male:

 In labor force:

 In Armed Forces

 Civilian:

 Employed

 Unemployed

 Not in labor force
 Female:

 (Repeat EMPLOYMENT STATUS)

P71. RACE(5) BY SEX(2) BY EMPLOYMENT STATUS(4) 40

 Universe: Persons 16 years and over

 White:

 Male:

 In labor force:

 In Armed Forces

 Civilian:

 Employed

 Unemployed

 Not in labor force

 Female:

 (Repeat EMPLOYMENT STATUS)

 Black:

 (Repeat SEX By EMPLOYMENT STATUS)

 American Indian, Eskimo, or Aleut:

 (Repeat SEX By EMPLOYMENT STATUS)

 Asian or Pacific Islander:

 (Repeat SEX By EMPLOYMENT STATUS)

 Other race:

 (Repeat SEX By EMPLOYMENT STATUS)

P72. SEX(2) BY EMPLOYMENT STATUS(4) 8

 Universe: Persons of Hispanic origin 16 years and over

 Male:

 In labor force:

 In Armed Forces

 Civilian:

 Employed

 Unemployed

 Not in labor force

 Female:

 (Repeat EMPLOYMENT STATUS)

P73. PRESENCE AND AGE OF CHILDREN AND EMPLOYMENT STATUS(12) 12

 Universe: Females 16 years and over

 With own children under 18 years:

 Under 6 years only:

 In labor force:

 Employed or in Armed Forces

 Unemployed

 Not in labor force

 6 to 17 years only:

 In labor force:

 Employed or in Armed Forces

 Unemployed

 Not in labor force

 Under 6 years and 6 to 17 years:

 In labor force:

 Employed or in Armed Forces

 Unemployed

 Not in labor force

 No own children under 18 years:

 In labor force:

 Employed or in Armed Forces

 Unemployed

 Not in labor force
P74. PRESENCE AND AGE OF CHILDREN(2) BY EMPLOYMENT STATUS OF 

 PARENTS(8) 16

 Universe: Own children under 18 years in families and subfamilies

 Under 6 years:

 Living with two parents:

 Both parents in labor force

 Father only in labor force

 Mother only in labor force

 Neither parent in labor force

 Living with one parent:

 Living with father:

 In labor force

 Not in labor force

 Living with mother:

 In labor force

 Not in labor force

 6 to 17 years:

 (Repeat EMPLOYMENT STATUS OF PARENTS)

P75. SEX(2) BY WORK STATUS IN 1989(2) 4

 Universe: Persons 16 years and over

 Male:

 Worked in 1989

 Did not work in 1989

 Female:

 (Repeat WORK STATUS IN 1989)

P76. SEX(2) BY WORK STATUS IN 1989, USUAL HOURS WORKED PER WEEK IN 

 1989, AND WEEKS WORKED IN 1989(19) 38

 Universe: Persons 16 years and over

 Male:

 Worked in 1989:

 Usually worked 35 or more hours per week:

 50 to 52 weeks

 48 to 49 weeks

 40 to 47 weeks

 27 to 39 weeks

 14 to 26 weeks

 1 to 13 weeks

 Usually worked 15 to 34 hours per week:

 50 to 52 weeks

 48 to 49 weeks

 40 to 47 weeks

 27 to 39 weeks

 14 to 26 weeks

 1 to 13 weeks

 Usually worked 1 to 14 hours per week:

 50 to 52 weeks

 48 to 49 weeks

 40 to 47 weeks

 27 to 39 weeks

 14 to 26 weeks

 1 to 13 weeks

 Did not work in 1989

 Female:

 (Repeat WORK STATUS IN 1989, USUAL HOURS WORKED PER WEEK IN 

 1989, AND WEEKS WORKED IN 1989)

P77. INDUSTRY(17) 17

 Universe: Employed persons 16 years and over
 Agriculture, forestry, and fisheries (000-039)

 Mining (040-059)

 Construction (060-099)

 Manufacturing, nondurable goods (100-229)

 Manufacturing, durable goods (230-399)

 Transportation (400-439)

 Communications and other public utilities (440-499)

 Wholesale trade (500-579)

 Retail trade (580-699)

 Finance, insurance, and real estate (700-720)

 Business and repair services (721-760)

 Personal services (761-799)

 Entertainment and recreation services (800-811)

 Professional and related services (812-899):

 Health services (812-840)

 Educational services (842-860)

 Other professional and related services (841, 861-899)

 Public administration (900-939)

P78. OCCUPATION(13) 13

 Universe: Employed persons 16 years and over

 Managerial and professional specialty occupations (000-202):

 Executive, administrative, and managerial occupations (000-042)

 Professional specialty occupations (043-202)

 Technical, sales, and administrative support occupations (203-402):

 Technicians and related support occupations (203-242)

 Sales occupations (243-302)

 Administrative support occupations, including clerical (303-402)

 Service occupations (403-472):

 Private household occupations (403-412)

 Protective service occupations (413-432)

 Service occupations, except protective and household (433-472)

 Farming, forestry, and fishing occupations (473-502)

 Precision production, craft, and repair occupations (503-702)

 Operators, fabricators, and laborers (703-902):

 Machine operators, assemblers, and inspectors (703-802)

 Transportation and material moving occupations (803-863)

 Handlers, equipment cleaners, helpers, and laborers (864-902)

P79. CLASS OF WORKER(7) 7

 Universe: Employed persons 16 years and over

 Private for profit wage and salary workers

 Private not-for-profit wage and salary workers

 Local government workers

 State government workers

 Federal government workers

 Self-employed workers

 Unpaid family workers

P80. HOUSEHOLD INCOME IN 1989(25) 25

 Universe: Households

 Less than $5,000

 $5,000 to $9,999

 $10,000 to $12,499

 $12,500 to $14,999

 $15,000 to $17,499

 $17,500 to $19,999

 $20,000 to $22,499

 $22,500 to $24,999

 $25,000 to $27,499
 $27,500 to $29,999

 $30,000 to $32,499

 $32,500 to $34,999

 $35,000 to $37,499

 $37,500 to $39,999

 $40,000 to $42,499

 $42,500 to $44,999

 $45,000 to $47,499

 $47,500 to $49,999

 $50,000 to $54,999

 $55,000 to $59,999

 $60,000 to $74,999

 $75,000 to $99,999

 $100,000 to $124,999

 $125,000 to $149,999

 $150,000 or more

P80A. MEDIAN HOUSEHOLD INCOME IN 1989(1) 1

 Universe: Households

 Median household income in 1989

P81. AGGREGATE HOUSEHOLD INCOME IN 1989(2) 2

 Universe: Households

 Total:

 Less than $150,000

 $150,000 or more

P82. RACE OF HOUSEHOLDER(5) BY HOUSEHOLD INCOME IN 1989(9) 45

 Universe: Households

 White:

 Less than $5,000

 $5,000 to $9,999

 $10,000 to $14,999

 $15,000 to $24,999

 $25,000 to $34,999

 $35,000 to $49,999

 $50,000 to $74,999

 $75,000 to $99,999

 $100,000 or more

 Black:

 (Repeat HOUSEHOLD INCOME IN 1989)

 American Indian, Eskimo, or Aleut:

 (Repeat HOUSEHOLD INCOME IN 1989)

 Asian or Pacific Islander:

 (Repeat HOUSEHOLD INCOME IN 1989)

 Other race:

 (Repeat HOUSEHOLD INCOME IN 1989)

P83. HOUSEHOLD INCOME IN 1989(9) 9

 Universe: Households with householder of Hispanic origin

 Less than $5,000

 $5,000 to $9,999

 $10,000 to $14,999

 $15,000 to $24,999

 $25,000 to $34,999

 $35,000 to $49,999

 $50,000 to $74,999

 $75,000 to $99,999

 $100,000 or more

P84. AGGREGATE HOUSEHOLD INCOME IN 1989(1) BY RACE OF HOUSEHOLDER(5) 5

 Universe: Households
 Total:

 White

 Black

 American Indian, Eskimo, or Aleut

 Asian or Pacific Islander

 Other race

P85. AGGREGATE HOUSEHOLD INCOME IN 1989(1) 1

 Universe: Households with householder of Hispanic origin

 Total

P86. AGE OF HOUSEHOLDER(7) BY HOUSEHOLD INCOME IN 1989(9) 63

 Universe: Households

 Under 25 years:

 Less than $5,000

 $5,000 to $9,999

 $10,000 to $14,999

 $15,000 to $24,999

 $25,000 to $34,999

 $35,000 to $49,999

 $50,000 to $74,999

 $75,000 to $99,999

 $100,000 or more

 25 to 34 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 35 to 44 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 45 to 54 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 55 to 64 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 65 to 74 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 75 years and over:

 (Repeat HOUSEHOLD INCOME IN 1989)

P87A. RACE OF HOUSEHOLDER(1) BY AGE OF HOUSEHOLDER(7) BY HOUSEHOLD

 INCOME IN 1989(9) 63

 Universe: White households

 White:

 Under 25 years:

 Less than $5,000

 $5,000 to $9,999

 $10,000 to $14,999

 $15,000 to $24,999

 $25,000 to $34,999

 $35,000 to $49,999

 $50,000 to $74,999

 $75,000 to $99,999

 $100,000 or more

 25 to 34 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 35 to 44 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 45 to 54 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 55 to 64 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 65 to 74 years:

 (Repeat HOUSEHOLD INCOME IN 1989)
 75 years and over:

 (Repeat HOUSEHOLD INCOME IN 1989)

P87B. RACE OF HOUSEHOLDER(1) BY AGE OF HOUSEHOLDER(7) BY HOUSEHOLD

 INCOME IN 1989(9) 63

 Universe: Black households

 Black:

 Under 25 years:

 Less than $5,000

 $5,000 to $9,999

 $10,000 to $14,999

 $15,000 to $24,999

 $25,000 to $34,999

 $35,000 to $49,999

 $50,000 to $74,999

 $75,000 to $99,999

 $100,000 or more

 25 to 34 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 35 to 44 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 45 to 54 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 55 to 64 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 65 to 74 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 75 years and over:

 (Repeat HOUSEHOLD INCOME IN 1989)

P87C. RACE OF HOUSEHOLDER(1) BY AGE OF HOUSEHOLDER(7) BY HOUSEHOLD

 INCOME IN 1989(9) 63

 Universe: American Indian, Eskimo, or Aleut households

 American Indian, Eskimo, or Aleut:

 Under 25 years:

 Less than $5,000

 $5,000 to $9,999

 $10,000 to $14,999

 $15,000 to $24,999

 $25,000 to $34,999

 $35,000 to $49,999

 $50,000 to $74,999

 $75,000 to $99,999

 $100,000 or more

 25 to 34 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 35 to 44 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 45 to 54 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 55 to 64 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 65 to 74 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 75 years and over:

 (Repeat HOUSEHOLD INCOME IN 1989)

P87D. RACE OF HOUSEHOLDER(1) BY AGE OF HOUSEHOLDER(7) BY HOUSEHOLD

 INCOME IN 1989(9) 63

 Universe: Asian and Pacific Islander households
 Asian and Pacific Islander:

 Under 25 years:

 Less than $5,000

 $5,000 to $9,999

 $10,000 to $14,999

 $15,000 to $24,999

 $25,000 to $34,999

 $35,000 to $49,999

 $50,000 to $74,999

 $75,000 to $99,999

 $100,000 or more

 25 to 34 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 35 to 44 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 45 to 54 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 55 to 64 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 65 to 74 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 75 years and over:

 (Repeat HOUSEHOLD INCOME IN 1989)

P87E. RACE OF HOUSEHOLDER(1) BY AGE OF HOUSEHOLDER(7) BY HOUSEHOLD

 INCOME IN 1989(9) 63

 Universe: Other race households

 Other race:

 Under 25 years:

 Less than $5,000

 $5,000 to $9,999

 $10,000 to $14,999

 $15,000 to $24,999

 $25,000 to $34,999

 $35,000 to $49,999

 $50,000 to $74,999

 $75,000 to $99,999

 $100,000 or more

 25 to 34 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 35 to 44 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 45 to 54 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 55 to 64 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 65 to 74 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 75 years and over:

 (Repeat HOUSEHOLD INCOME IN 1989)

P88. AGE OF HOUSEHOLDER(7) BY HOUSEHOLD INCOME IN 1989(9) 63

 Universe: Households with householder of Hispanic origin

 Under 25 years:

 Less than $5,000

 $5,000 to $9,999

 $10,000 to $14,999

 $15,000 to $24,999

 $25,000 to $34,999
 $35,000 to $49,999

 $50,000 to $74,999

 $75,000 to $99,999

 $100,000 or more

 25 to 34 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 35 to 44 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 45 to 54 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 55 to 64 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 65 to 74 years:

 (Repeat HOUSEHOLD INCOME IN 1989)

 75 years and over:

 (Repeat HOUSEHOLD INCOME IN 1989)

P89. EARNINGS IN 1989(2) 2

 Universe: Households

 With earnings

 No earnings

P90. WAGE OR SALARY INCOME IN 1989(2) 2

 Universe: Households

 With wage or salary income

 No wage or salary income

P91. NONFARM SELF-EMPLOYMENT INCOME IN 1989(2) 2

 Universe: Households

 With nonfarm self-employment income

 No nonfarm self-employment income

P92. FARM SELF-EMPLOYMENT INCOME IN 1989(2) 2

 Universe: Households

 With farm self-employment income

 No farm self-employment income

P93. INTEREST, DIVIDEND, OR NET RENTAL INCOME IN 1989(2) 2

 Universe: Households

 With interest, dividend, or net rental income

 No interest, dividend, or net rental income

P94. SOCIAL SECURITY INCOME IN 1989(2) 2

 Universe: Households

 With Social Security income

 No Social Security income

P95. PUBLIC ASSISTANCE INCOME IN 1989(2) 2

 Universe: Households

 With public assistance income

 No public assistance income

P96. RETIREMENT INCOME IN 1989(2) 2

 Universe: Households

 With retirement income

 No retirement income

P97. OTHER TYPE OF INCOME IN 1989(2) 2

 Universe: Households

 With other income

 No other income

P98. AGGREGATE WAGE OR SALARY INCOME IN 1989(1) 1

 Universe: Households

 Total

P99. AGGREGATE NONFARM SELF-EMPLOYMENT INCOME IN 1989(1) 1

 Universe: Households
 Total

P100. AGGREGATE FARM SELF-EMPLOYMENT INCOME IN 1989(1) 1

 Universe: Households

 Total

P101. AGGREGATE INTEREST, DIVIDEND, OR NET RENTAL INCOME IN 1989(1) 1

 Universe: Households

 Total

P102. AGGREGATE SOCIAL SECURITY INCOME IN 1989(1) 1

 Universe: Households

 Total

P103. AGGREGATE PUBLIC ASSISTANCE INCOME IN 1989(1) 1

 Universe: Households

 Total

P104. AGGREGATE RETIREMENT INCOME IN 1989(1) 1

 Universe: Households

 Total

P105. AGGREGATE OTHER TYPE OF INCOME IN 1989(1) 1

 Universe: Households

 Total

P106. AGGREGATE PERSONS IN HOUSEHOLDS(1) BY PUBLIC ASSISTANCE INCOME 

 IN 1989(2) BY AGE(3) 6

 Universe: Persons in households

 Total:

 With public assistance income:

 Under 15 years

 15 to 64 years

 65 years and over

 No public assistance income:

 (Repeat AGE)

P107. FAMILY INCOME IN 1989(25) 25

 Universe: Families

 Less than $5,000

 $5,000 to $9,999

 $10,000 to $12,499

 $12,500 to $14,999

 $15,000 to $17,499

 $17,500 to $19,999

 $20,000 to $22,499

 $22,500 to $24,999

 $25,000 to $27,499

 $27,500 to $29,999

 $30,000 to $32,499

 $32,500 to $34,999

 $35,000 to $37,499

 $37,500 to $39,999

 $40,000 to $42,499

 $42,500 to $44,999

 $45,000 to $47,499

 $47,500 to $49,999

 $50,000 to $54,999

 $55,000 to $59,999

 $60,000 to $74,999

 $75,000 to $99,999

 $100,000 to $124,999

 $125,000 to $149,999

 $150,000 or more
P107A.MEDIAN FAMILY INCOME IN 1989(1) 1

 Universe: Families

 Median family income in 1989

P108. AGGREGATE FAMILY INCOME IN 1989(1) BY FAMILY INCOME IN 1989(2) 2

 Universe: Families

 Total:

 Less than $150,000

 $150,000 or more

P109. AGGREGATE FAMILY INCOME IN 1989(1) BY FAMILY TYPE AND PRESENCE

 AND AGE OF CHILDREN(6) 6

 Universe: Families

 Total:

 Married-couple family:

 With own children under 18 years

 No own children under 18 years

 Other family:

 Male householder, no wife present:

 With own children under 18 years

 No own children under 18 years

 Female householder, no husband present:

 With own children under 18 years

 No own children under 18 years

P110. NONFAMILY HOUSEHOLD INCOME IN 1989(25) 25

 Universe: Nonfamily households

 Less than $5,000

 $5,000 to $9,999

 $10,000 to $12,499

 $12,500 to $14,999

 $15,000 to $17,499

 $17,500 to $19,999

 $20,000 to $22,499

 $22,500 to $24,999

 $25,000 to $27,499

 $27,500 to $29,999

 $30,000 to $32,499

 $32,500 to $34,999

 $35,000 to $37,499

 $37,500 to $39,999

 $40,000 to $42,499

 $42,500 to $44,999

 $45,000 to $47,499

 $47,500 to $49,999

 $50,000 to $54,999

 $55,000 to $59,999

 $60,000 to $74,999

 $75,000 to $99,999

 $100,000 to $124,999

 $125,000 to $149,999

 $150,000 or more

P110A.MEDIAN NONFAMILY HOUSEHOLD INCOME IN 1989(1) 1

 Universe: Nonfamily households

 Median nonfamily household income in 1989

P111. AGGREGATE NONFAMILY HOUSEHOLD INCOME IN 1989(1) BY NONFAMILY

 HOUSEHOLD INCOME IN 1989(2) 2

 Universe: Nonfamily households

 Total:

 Less than $150,000
 $150,000 or more

P112. WORKERS IN FAMILY IN 1989(4) 4

 Universe: Families

 No workers

 1 worker

 2 workers

 3 or more workers

P113. AGGREGATE FAMILY INCOME IN 1989(1) BY WORKERS IN FAMILY IN

 1989(4) 4

 Universe: Families

 Total:

 No workers

 1 worker

 2 workers

 3 or more workers

P114. AGGREGATE INCOME IN 1989(1) BY GROUP QUARTERS(3) 3

 Universe: Persons 15 years and over

 Total:

 In households

 In group quarters:

 Institutionalized persons

 Other persons in group quarters

 Filler

P114A.PER CAPITA INCOME IN 1989(1) 1

 Universe: Persons

 Per capita income in 1989

P114B.PER CAPITA INCOME IN 1989(1) BY GROUP QUARTERS(3) 3

 Universe: Persons

 Per capita income in 1989:

 In households

 In group quarters:

 Institutionalized persons

 Other persons in group quarters

 Filler

P115. AGGREGATE INCOME IN 1989(1) BY RACE(5) 5

 Universe: Persons 15 years and over

 Total:

 White

 Black

 American Indian, Eskimo, or Aleut

 Asian or Pacific Islander

 Other race

P115A.PER CAPITA INCOME IN 1989(1) BY RACE(5) 5

 Universe: Persons

 Per capita income in 1989:

 White

 Black

 American Indian, Eskimo, or Aleut

 Asian or Pacific Islander

 Other race

P116. AGGREGATE INCOME IN 1989(1) 1

 Universe: Persons of Hispanic origin 15 years and over

 Total

P116A. PER CAPITA INCOME IN 1989(1) 1

 Universe: Persons of Hispanic origin

 Per capita income in 1989
P117. POVERTY STATUS IN 1989(2) BY AGE(12) 24

 Universe: Persons for whom poverty status is determined

 Income in 1989 above poverty level:

 Under 5 years

 5 years

 6 to 11 years

 12 to 17 years

 18 to 24 years

 25 to 34 years

 35 to 44 years

 45 to 54 years

 55 to 59 years

 60 to 64 years

 65 to 74 years

 75 years and over

 Income in 1989 below poverty level:

 (Repeat AGE)

P118. POVERTY STATUS IN 1989(2) BY SEX(2) BY AGE(7) 28

 Universe: Persons for whom poverty status is determined

 Income in 1989 above poverty level:

 Male:

 Under 5 years

 5 years

 6 to 11 years

 12 to 17 years

 18 to 64 years

 65 to 74 years

 75 years and over

 Female:

 (Repeat AGE)

 Income in 1989 below poverty level:

 (Repeat SEX By AGE)

P119. POVERTY STATUS IN 1989(2) BY RACE(5) BY AGE(7) 70

 Universe: Persons for whom poverty status is determined

 Income in 1989 above poverty level:

 White:

 Under 5 years

 5 years

 6 to 11 years

 12 to 17 years

 18 to 64 years

 65 to 74 years

 75 years and over

 Black:

 (Repeat AGE)

 American Indian, Eskimo, or Aleut:

 (Repeat AGE)

 Asian or Pacific Islander:

 (Repeat AGE)

 Other race:

 (Repeat AGE)

 Income in 1989 below poverty level:

 (Repeat RACE By AGE)

P120. POVERTY STATUS IN 1989(2) BY AGE(7) 14

 Universe: Persons of Hispanic origin for whom poverty status 

 is determined

 Income in 1989 above poverty level:
 Under 5 years

 5 years

 6 to 11 years

 12 to 17 years

 18 to 64 years

 65 to 74 years

 75 years and over

 Income in 1989 below poverty level:

 (Repeat AGE)

P121. RATIO OF INCOME IN 1989 TO POVERTY LEVEL(9) 9

 Universe: Persons for whom poverty status is determined

 Under .50

 .50 to .74

 .75 to .99

 1.00 to 1.24

 1.25 to 1.49

 1.50 to 1.74

 1.75 to 1.84

 1.85 to 1.99

 2.00 and over

P122. POVERTY STATUS IN 1989(2) BY AGE(3) BY HOUSEHOLD TYPE AND

 RELATIONSHIP(9) 54

 Universe: Persons for whom poverty status is determined

 Income in 1989 above poverty level:

 Under 65 years:

 In married-couple family

 In other family:

 Male householder, no wife present

 Female householder, no husband present

 Unrelated individuals:

 In family households

 In nonfamily households:

 Householder:

 Living alone

 Not living alone

 Nonrelatives

 In group quarters

 Filler

 65 to 74 years:

 (Repeat HOUSEHOLD TYPE AND RELATIONSHIP)

 75 years and over:

 (Repeat HOUSEHOLD TYPE AND RELATIONSHIP)

 Income in 1989 below poverty level:

 (Repeat AGE By HOUSEHOLD TYPE AND RELATIONSHIP)

P123. POVERTY STATUS IN 1989(2) BY FAMILY TYPE AND PRESENCE AND 

 AGE OF CHILDREN(12) 24

 Universe: Families

 Income in 1989 above poverty level:

 Married-couple family:

 With related children under 18 years:

 Under 5 years only

 5 to 17 years only

 Under 5 years and 5 to 17 years

 No related children under 18 years

 Other family:

 Male householder, no wife present:

 With related children under 18 years:
 Under 5 years only

 5 to 17 years only

 Under 5 years and 5 to 17 years

 No related children under 18 years

 Female householder, no husband present:

 With related children under 18 years:

 Under 5 years only

 5 to 17 years only

 Under 5 years and 5 to 17 years

 No related children under 18 years

 Income in 1989 below poverty level:

 (Repeat FAMILY TYPE AND PRESENCE AND AGE OF CHILDREN)

P124A.POVERTY STATUS IN 1989(1) BY RACE OF HOUSEHOLDER(5) BY FAMILY

 TYPE AND PRESENCE AND AGE OF CHILDREN(12) 60

 Universe: Families with income in 1989 above poverty level

 Income in 1989 above poverty level:

 White:

 Married-couple family:

 With related children under 18 years:

 Under 5 years only

 5 to 17 years only

 Under 5 years and 5 to 17 years

 No related children under 18 years

 Other family:

 Male householder, no wife present:

 With related children under 18 years:

 Under 5 years only

 5 to 17 years only

 Under 5 years and 5 to 17 years

 No related children under 18 years

 Female householder, no husband present:

 With related children under 18 years:

 Under 5 years only

 5 to 17 years only

 Under 5 years and 5 to 17 years

 No related children under 18 years

 Black:

 (Repeat FAMILY TYPE AND PRESENCE AND AGE OF CHILDREN)

 American Indian, Eskimo, or Aleut:

 (Repeat FAMILY TYPE AND PRESENCE AND AGE OF CHILDREN)

 Asian or Pacific Islander:

 (Repeat FAMILY TYPE AND PRESENCE AND AGE OF CHILDREN)

 Other race:

 (Repeat FAMILY TYPE AND PRESENCE AND AGE OF CHILDREN)

P124B.POVERTY STATUS IN 1989(1) BY RACE OF HOUSEHOLDER(5) BY FAMILY

 TYPE AND PRESENCE AND AGE OF CHILDREN(12) 60

 Universe: Families with income in 1989 below poverty level

 Income in 1989 above poverty level:

 White:

 Married-couple family:

 With related children under 18 years:

 Under 5 years only

 5 to 17 years only

 Under 5 years and 5 to 17 years

 No related children under 18 years

 Other family:

 Male householder, no wife present:
 With related children under 18 years:

 Under 5 years only

 5 to 17 years only

 Under 5 years and 5 to 17 years

 No related children under 18 years

 Female householder, no husband present:

 With related children under 18 years:

 Under 5 years only

 5 to 17 years only

 Under 5 years and 5 to 17 years

 No related children under 18 years

 Black:

 (Repeat FAMILY TYPE AND PRESENCE AND AGE OF CHILDREN)

 American Indian, Eskimo, or Aleut:

 (Repeat FAMILY TYPE AND PRESENCE AND AGE OF CHILDREN)

 Asian or Pacific Islander:

 (Repeat FAMILY TYPE AND PRESENCE AND AGE OF CHILDREN)

 Other race:

 (Repeat FAMILY TYPE AND PRESENCE AND AGE OF CHILDREN)

P125. POVERTY STATUS IN 1989(2) BY FAMILY TYPE AND PRESENCE AND 

 AGE OF CHILDREN(12) 24

 Universe: Families with householder of Hispanic origin

 Income in 1989 above poverty level:

 Married-couple family:

 With related children under 18 years:

 Under 5 years only

 5 to 17 years only

 Under 5 years and 5 to 17 years

 No related children under 18 years

 Other family:

 Male householder, no wife present:

 With related children under 18 years:

 Under 5 years only

 5 to 17 years only

 Under 5 years and 5 to 17 years

 No related children under 18 years

 Female householder, no husband present:

 With related children under 18 years:

 Under 5 years only

 5 to 17 years only

 Under 5 years and 5 to 17 years

 No related children under 18 years

 Income in 1989 below poverty level:

 (Repeat FAMILY TYPE AND PRESENCE AND AGE OF CHILDREN)

P126. POVERTY STATUS IN 1989(2) BY FAMILY TYPE AND AGE(9) 18

 Universe: Related children under 18 years

 Income in 1989 above poverty level:

 In married-couple family:

 Under 5 years

 5 years

 6 to 17 years

 In other family:

 Male householder, no wife present:

 Under 5 years

 5 years

 6 to 17 years

 Female householder, no husband present:
 Under 5 years

 5 years

 6 to 17 years

 Income in 1989 below poverty level:

 (Repeat FAMILY TYPE AND AGE)

P127. POVERTY STATUS IN 1989(2) BY AGE OF HOUSEHOLDER(3) BY 

 HOUSEHOLD TYPE(5) 30

 Universe: Households

 Income in 1989 above poverty level:

 Householder 15 to 64 years:

 Married-couple family

 Other family:

 Male householder, no wife present

 Female householder, no husband present

 Nonfamily households:

 Householder living alone

 Householder not living alone

 Householder 65 to 74 years:

 (Repeat HOUSEHOLD TYPE)

 Householder 75 years and over:

 Repeat HOUSEHOLD TYPE)

 Income in 1989 below poverty level:

 (Repeat AGE OF HOUSEHOLDER By HOUSEHOLD TYPE)

P128. IMPUTATION OF POPULATION ITEMS(3) 3

 Universe: Persons

 Filler

 No items allocated

 One or more items allocated

P129. IMPUTATION OF RELATIONSHIP(2) 2

 Universe: Persons in households

 Allocated

 Not allocated

P130. IMPUTATION OF SEX(3) 3

 Universe: Persons

 Filler

 Allocated

 Not allocated

P131. IMPUTATION OF AGE(3) 3

 Universe: Persons

 Filler

 Allocated

 Not allocated

P132. IMPUTATION OF RACE(3) 3

 Universe: Persons

 Filler

 Allocated

 Not allocated

P133. IMPUTATION OF MARITAL STATUS(3) 3

 Universe: Persons 15 years and over

 Filler

 Allocated

 Not allocated

P134. IMPUTATION OF HISPANIC ORIGIN(3) 3

 Universe: Persons

 Filler

 Allocated

 Not allocated
P135. IMPUTATION OF GROUP QUARTERS(2) 2

 Universe: Persons in group quarters

 Allocated

 Not allocated

P136. IMPUTATION OF PLACE OF BIRTH(3) 3

 Universe: Persons

 Filler

 Allocated

 Not allocated

P137. IMPUTATION OF CITIZENSHIP(3) 3

 Universe: Persons

 Filler

 Allocated

 Not allocated

P138. IMPUTATION OF YEAR OF ENTRY(3) 3

 Universe: Foreign-born persons

 Filler

 Allocated

 Not allocated

P139. IMPUTATION OF SCHOOL ENROLLMENT(3) 3

 Universe: Persons 3 years and over

 Filler

 Allocated

 Not allocated

P140. IMPUTATION OF EDUCATIONAL ATTAINMENT(3) 3

 Universe: Persons 18 years and over

 Filler

 Allocated

 Not allocated

P141. IMPUTATION OF EDUCATIONAL ATTAINMENT(3) 3

 Universe: Persons 25 years and over

 Filler

 Allocated

 Not allocated

P142. IMPUTATION OF ANCESTRY(3) 3

 Universe: Persons

 Filler

 Allocated

 Not allocated

P143. IMPUTATION OF MOBILITY STATUS(3) 3

 Universe: Persons 5 years and over

 Filler

 Allocated

 Not allocated

P144. IMPUTATION OF RESIDENCE IN 1985(5) 5

 Universe: Persons 5 years and over

 Different house in 1985:

 Filler

 Allocated:

 One or more but not all geographic parts allocated

 All geographic parts allocated

 Not allocated

 Same house in 1985

P145. IMPUTATION OF LANGUAGE STATUS(3) 3

 Universe: Persons 5 years and over

 Filler

 Allocated
 Not allocated

P146. IMPUTATION OF LANGUAGE SPOKEN AT HOME(4) 4

 Universe: Persons 5 years and over

 Speak only English

 Speak other language:

 Filler

 Allocated

 Not allocated

P147. IMPUTATION OF ABILITY TO SPEAK ENGLISH(4) 4

 Universe: Persons 5 years and over

 Speak only English

 Speak other language:

 Filler

 Allocated

 Not allocated

P148. IMPUTATION OF VETERAN STATUS(2) 2

 Universe: Persons 16 years and over

 Filler

 Allocated

 Not allocated

P149. IMPUTATION OF PERIOD OF MILITARY SERVICE(3) 3

 Universe: Civilian veterans 16 years and over

 Filler

 Allocated

 Not allocated

P150. IMPUTATION OF WORK DISABILITY STATUS(3) 3

 Universe: Civilian noninstitutionalized persons 16 years and over

 Filler

 Allocated

 Not allocated

P151. IMPUTATION OF MOBILITY LIMITATION STATUS(3) 3

 Universe: Civilian noninstitutionalized persons 16 years and over

 Filler

 Allocated

 Not allocated

P152. IMPUTATION OF SELF-CARE LIMITATION STATUS(3) 3

 Universe: Civilian noninstitutionalized persons 16 years and over

 Filler

 Allocated

 Not allocated

P153. IMPUTATION OF CHILDREN EVER BORN(3) 3

 Universe: Females 15 years and over

 Filler

 Allocated

 Not allocated

P154. IMPUTATION OF PLACE OF WORK(4) 4

 Universe: Workers 16 years and over

 Filler

 Allocated:

 One or more but not all geographic parts allocated

 All geographic parts allocated

 Not allocated

P155. IMPUTATION OF MEANS OF TRANSPORTATION TO WORK(3) 3

 Universe: Workers 16 years and over

 Filler

 Allocated

 Not allocated
P156. IMPUTATION OF PRIVATE VEHICLE OCCUPANCY(4) 4

 Universe: Workers 16 years and over

 Car, truck, or van:

 Filler

 Allocated

 Not allocated

 Other means

P157. IMPUTATION OF TIME LEAVING HOME TO GO TO WORK(4) 4

 Universe: Workers 16 years and over

 Did not work at home:

 Filler

 Allocated

 Not allocated

 Worked at home

P158. IMPUTATION OF TRAVEL TIME TO WORK(4) 4

 Universe: Workers 16 years and over

 Did not work at home:

 Filler

 Allocated

 Not allocated

 Worked at home

P159. IMPUTATION OF EMPLOYMENT STATUS(3) 3

 Universe: Persons 16 years and over

 Filler

 Allocated

 Not allocated

P160. IMPUTATION OF WORK STATUS IN 1989(3) 3

 Universe: Persons 16 years and over

 Filler

 Allocated

 Not allocated

P161. IMPUTATION OF USUAL HOURS WORKED PER WEEK IN 1989(4) 4

 Universe: Persons 16 years and over

 Worked in 1989:

 Filler

 Allocated

 Not allocated

 Did not work in 1989

P162. IMPUTATION OF WEEKS WORKED IN 1989(4) 4

 Universe: Persons 16 years and over

 Worked in 1989:

 Filler

 Allocated

 Not allocated

 Did not work in 1989

P163. IMPUTATION OF INDUSTRY(3) 3

 Universe: Employed persons 16 years and over

 Filler

 Allocated

 Not allocated

P164. IMPUTATION OF OCCUPATION(3) 3

 Universe: Employed persons 16 years and over

 Filler

 Allocated

 Not allocated

P165. IMPUTATION OF CLASS OF WORKER(3) 3

 Universe: Employed persons 16 years and over
 Filler

 Allocated

 Not allocated

P166. IMPUTATION OF INCOME IN 1989(3) 3

 Universe: Persons 15 years and over

 Filler

 Allocated

 Not allocated

P167. IMPUTATION OF HOUSEHOLD INCOME IN 1989(2) 2

 Universe: Households

 Allocated

 Not allocated

P168. IMPUTATION OF FAMILY INCOME IN 1989(2) 2

 Universe: Families

 Allocated

 Not allocated

P169. IMPUTATION OF NONFAMILY HOUSEHOLD INCOME IN 1989(2) 2

 Universe: Nonfamily household allocated

 Not allocated

P170. IMPUTATION OF POVERTY STATUS IN 1989(3) 3

 Universe: Persons for whom poverty status is determined

 Filler

 Allocated

 Not allocated

H1. HOUSING UNITS(1) 1

 Universe: Housing units

 Total

H2. UNWEIGHTED SAMPLE COUNT OF HOUSING UNITS(1) 1

 Universe: Housing units

 Total

H3. 100-PERCENT COUNT OF HOUSING UNITS(1) 1

 Universe: Housing units

 Total

H3A. PERCENT OF HOUSING UNITS IN SAMPLE(1) 1

 Universe: Housing units

 Total

H4. OCCUPANCY STATUS(2) 2

 Universe: Housing units

 Occupied

 Vacant

H5. URBAN AND RURAL(4) 4

 Universe: Housing units

 Urban:

 Inside urbanized area

 Outside urbanized area

 Rural:

 Farm

 Nonfarm

H6. CONDOMINIUM STATUS(2) BY VACANCY STATUS(4) 8

 Universe: Vacant housing units

 Condominium:

 For rent

 For sale only

 For seasonal, recreational, or occasional use

 All other vacants

 Not condominium:

 (Repeat VACANCY STATUS)
H7. CONDOMINIUM STATUS(2) BY TENURE AND MORTGAGE STATUS(3) 6

 Universe: Occupied housing units

 Condominium:

 Owner occupied:

 With a mortgage

 Not mortgaged

 Renter occupied

 Not condominium:

 (Repeat TENURE AND MORTGAGE STATUS)

H8. TENURE(2) 2

 Universe: Occupied housing units

 Owner occupied

 Renter occupied

H9. RACE OF HOUSEHOLDER(5) 5

 Universe: Occupied housing units

 White

 Black

 American Indian, Eskimo, or Aleut

 Asian or Pacific Islander

 Other race

H10. TENURE(2) BY RACE OF HOUSEHOLDER(5) 10

 Universe: Occupied housing units

 Owner occupied:

 White

 Black

 American Indian, Eskimo, or Aleut

 Asian or Pacific Islander

 Other race

 Renter occupied:

 (Repeat RACE OF HOUSEHOLDER)

H11. HISPANIC ORIGIN OF HOUSEHOLDER(2) BY RACE OF HOUSEHOLDER(5) 10

 Universe: Occupied housing units

 Not of Hispanic origin:

 White

 Black

 American Indian, Eskimo, or Aleut

 Asian or Pacific Islander

 Other race

 Hispanic origin:

 (Repeat RACE OF HOUSEHOLDER)

H12. TENURE(2) BY RACE OF HOUSEHOLDER(5) 10

 Universe: Occupied housing units with householder of Hispanic origin

 Owner occupied:

 White

 Black

 American Indian, Eskimo, or Aleut

 Asian or Pacific Islander

 Other race

 Renter occupied:

 (Repeat RACE OF HOUSEHOLDER)

H13. TENURE(2) BY AGE OF HOUSEHOLDER(7) 14

 Universe: Occupied housing units

 Owner occupied:

 15 to 24 years

 25 to 34 years

 35 to 44 years

 45 to 54 years
 55 to 64 years

 65 to 74 years

 75 years and over

 Renter occupied:

 (Repeat AGE OF HOUSEHOLDER)

H14. AGGREGATE PERSONS(1) BY TENURE(2) BY RACE OF HOUSEHOLDER(5) 10

 Universe: Persons in occupied housing units

 Total:

 Owner occupied:

 White

 Black

 American Indian, Eskimo, or Aleut

 Asian or Pacific Islander

 Other race

 Renter occupied:

 (Repeat RACE OF HOUSEHOLDER)

H15. AGGREGATE PERSONS(1) BY TENURE(2) 2

 Universe: Persons in occupied housing units with householder of 

 Hispanic origin

 Total:

 Owner occupied

 Renter occupied

H16. ROOMS(9) 9

 Universe: Housing units

 1 room

 2 rooms 

 3 rooms

 4 rooms

 5 rooms

 6 rooms

 7 rooms

 8 rooms

 9 or more rooms

H17. AGGREGATE ROOMS(1) 1

 Universe: Housing units

 Total

H18. TENURE(2) BY PERSONS IN UNIT(7) 14

 Universe: Occupied housing units

 Owner occupied:

 1 person

 2 persons

 3 persons

 4 persons

 5 persons

 6 persons

 7 or more persons

 Renter occupied:

 (Repeat PERSONS IN UNIT)

H19. AGGREGATE PERSONS(1) BY TENURE(2) 2

 Universe: Persons in occupied housing units

 Total:

 Owner occupied

 Renter occupied

H20. UNITS IN STRUCTURE(10) 10

 Universe: Housing units

 1, detached

 1, attached
 2

 3 or 4

 5 to 9

 10 to 19

 20 to 49

 50 or more

 Mobile home or trailer

 Other

H21. UNITS IN STRUCTURE(10) 10

 Universe: Vacant housing units

 1, detached

 1, attached

 2

 3 or 4

 5 to 9

 10 to 19

 20 to 49

 50 or more

 Mobile home or trailer

 Other

H22. TENURE(2) BY UNITS IN STRUCTURE(10) 20

 Universe: Occupied housing units

 Owner occupied:

 1, detached

 1, attached

 2

 3 or 4

 5 to 9

 10 to 19

 20 to 49

 50 or more

 Mobile home or trailer

 Other

 Renter occupied:

 (Repeat UNITS IN STRUCTURE)

H23. SOURCE OF WATER(4) 4

 Universe: Housing units

 Public system or private company

 Individual well:

 Drilled

 Dug

 Some other source

H24. SEWAGE DISPOSAL(3) 3

 Universe: Housing units

 Public sewer

 Septic tank or cesspool

 Other means

H25. YEAR STRUCTURE BUILT(8) 8

 Universe: Housing units

 1989 to March 1990

 1985 to 1988

 1980 to 1984

 1970 to 1979

 1960 to 1969

 1950 to 1959

 1940 to 1949

 1939 or earlier
H25A. MEDIAN YEAR STRUCTURE BUILT(1) 1

 Universe: Housing units

 Median year structure built

H26. YEAR STRUCTURE BUILT(8) 8

 Universe: Vacant housing units

 1989 to March 1990

 1985 to 1988

 1980 to 1984

 1970 to 1979

 1960 to 1969

 1950 to 1959

 1940 to 1949

 1939 or earlier

H27. TENURE(2) BY YEAR STRUCTURE BUILT(8) 16

 Universe: Occupied housing units

 Owner occupied:

 1989 to March 1990

 1985 to 1988

 1980 to 1984

 1970 to 1979

 1960 to 1969

 1950 to 1959

 1940 to 1949

 1939 or earlier

 Renter occupied:

 (Repeat YEAR STRUCTURE BUILT)

H28. YEAR HOUSEHOLDER MOVED INTO UNIT(6) 6

 Universe: Occupied housing units

 1989 to March 1990

 1985 to 1988

 1980 to 1984

 1970 to 1979

 1960 to 1969

 1959 or earlier

H29. TENURE(2) BY YEAR HOUSEHOLDER MOVED INTO UNIT(6) 12

 Universe: Occupied housing units

 Owner occupied:

 1989 to March 1990

 1985 to 1988

 1980 to 1984

 1970 to 1979

 1960 to 1969

 1959 or earlier

 Renter occupied:

 (Repeat YEAR HOUSEHOLDER MOVED INTO UNIT)

H30. HOUSE HEATING FUEL(9) 9

 Universe: Occupied housing units

 Utility gas

 Bottled, tank, or LP gas

 Electricity

 Fuel oil, kerosene, etc. 

 Coal or coke

 Wood

 Solar energy

 Other fuel

 No fuel used
H31. BEDROOMS(6) 6

 Universe: Housing units

 No bedroom

 1 bedroom

 2 bedrooms

 3 bedrooms

 4 bedrooms

 5 or more bedrooms

H32. BEDROOMS(6) 6

 Universe: Vacant housing units

 No bedroom

 1 bedroom

 2 bedrooms

 3 bedrooms

 4 bedrooms

 5 or more bedrooms

H33. TENURE(2) BY BEDROOMS(6) 12

 Universe: Occupied housing units

 Owner occupied:

 No bedroom

 1 bedroom

 2 bedrooms

 3 bedrooms

 4 bedrooms

 5 or more bedrooms

 Renter occupied:

 (Repeat BEDROOMS)

H34. BEDROOMS(4) BY GROSS RENT(7) 28

 Universe: Specified renter-occupied housing units

 No bedroom:

 With cash rent:

 Less than $200

 $200 to $299

 $300 to $499

 $500 to $749

 $750 to $999

 $1,000 or more

 No cash rent

 1 bedroom:

 (Repeat GROSS RENT)

 2 bedrooms:

 (Repeat GROSS RENT)

 3 or more bedrooms:

 (Repeat GROSS RENT)

H35. TENURE(2) BY TELEPHONE IN HOUSING UNIT(2) 4

 Universe: Occupied housing units 

 Owner occupied: 

 With telephone 

 No telephone 

 Renter occupied: 

 (Repeat TELEPHONE IN HOUSING UNIT)

H36. AGE OF HOUSEHOLDER(4) BY TELEPHONE IN HOUSING UNIT(2) 8

 Universe: Occupied housing units

 15 to 59 years:

 With telephone

 No telephone

 60 to 64 years:
 (Repeat TELEPHONE IN HOUSING UNIT)

 65 to 74 years:

 (Repeat TELEPHONE IN HOUSING UNIT)

 75 years and over:

 (Repeat TELEPHONE IN HOUSING UNIT)

H37. TENURE(2) BY VEHICLES AVAILABLE(6) 12

 Universe: Occupied housing units

 Owner occupied:

 None

 1

 2

 3

 4

 5 or more

 Renter occupied:

 (Repeat VEHICLES AVAILABLE)

H38. AGGREGATE VEHICLES AVAILABLE(1) BY TENURE(2) 2

 Universe: Occupied housing units

 Total:

 Owner occupied

 Renter occupied

H39. RACE OF HOUSEHOLDER(5) BY VEHICLES AVAILABLE(2) 10

 Universe: Occupied housing units

 White:

 None

 1 or more

 Black:

 (Repeat VEHICLES AVAILABLE)

 American Indian, Eskimo, or Aleut:

 (Repeat VEHICLES AVAILABLE)

 Asian or Pacific Islander:

 (Repeat VEHICLES AVAILABLE)

 Other race:

 (Repeat VEHICLES AVAILABLE)

H40. VEHICLES AVAILABLE(2) 2

 Universe: Occupied housing units with householder of Hispanic origin

 None

 1 or more

H41. AGE OF HOUSEHOLDER(2) BY VEHICLES AVAILABLE(2) 4

 Universe: Occupied housing units

 15 to 64 years:

 None

 1 or more

 65 years and over:

 (Repeat VEHICLES AVAILABLE)

H42. KITCHEN FACILITIES(2) 2

 Universe: Housing units

 Complete kitchen facilities

 Lacking complete kitchen facilities

H43. GROSS RENT(17) 17

 Universe: Specified renter-occupied housing units

 With cash rent:

 Less than $100

 $100 to $149

 $150 to $199

 $200 to $249

 $250 to $299
 $300 to $349

 $350 to $399

 $400 to $449

 $450 to $499

 $500 to $549

 $550 to $599

 $600 to $649

 $650 to $699

 $700 to $749

 $750 to $999

 $1,000 or more

 No cash rent

H43A. MEDIAN GROSS RENT(1) 1

 Universe: Specified renter-occupied housing units paying cash rent

 Median gross rent

H44. AGGREGATE GROSS RENT(1) 1

 Universe: Specified renter-occupied housing units paying cash rent

 Total

H45. RACE OF HOUSEHOLDER(5) BY GROSS RENT(7) 35

 Universe: Specified renter-occupied housing units

 White:

 With cash rent:

 Less than $200

 $200 to $299

 $300 to $499

 $500 to $749

 $750 to $999

 $1,000 or more

 No cash rent

 Black:

 (Repeat GROSS RENT)

 American Indian, Eskimo, or Aleut:

 (Repeat GROSS RENT)

 Asian or Pacific Islander:

 (Repeat GROSS RENT)

 Other race:

 (Repeat GROSS RENT)

H46. HISPANIC ORIGIN(2) BY GROSS RENT(7) 14

 Universe: Specified renter-occupied housing units

 Not of Hispanic origin:

 With cash rent:

 Less than $200

 $200 to $299

 $300 to $499

 $500 to $749

 $750 to $999

 $1,000 or more

 No cash rent

 Hispanic origin:

 (Repeat GROSS RENT)

H47. MEALS INCLUDED IN RENT(2) 2

 Universe: Specified renter-occupied housing units paying cash rent

 Meals included in rent

 No meals included in rent

H48. AGGREGATE GROSS RENT(1) BY MEALS INCLUDED IN RENT(2) 2

 Universe: Specified renter-occupied housing units paying cash rent

 Total:
 Meals included in rent

 No meals included in rent

H49. INCLUSION OF UTILITIES IN RENT(2) 2

 Universe: Specified renter-occupied housing units

 Pay extra for 1 or more utilities

 No extra payment for any utilities

H50. HOUSEHOLD INCOME IN 1989(5) BY GROSS RENT AS A PERCENTAGE OF 

 HOUSEHOLD INCOME IN 1989(6) 30

 Universe: Specified renter-occupied housing units

 Less than $10,000:

 Less than 20 percent

 20 to 24 percent

 25 to 29 percent

 30 to 34 percent

 35 percent or more

 Not computed

 $10,000 to $19,999:

 (Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME 

 IN 1989)

 $20,000 to $34,999:

 (Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME 

 IN 1989)

 $35,000 to $49,999:

 (Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME 

 IN 1989)

 $50,000 or more:

 (Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME 

 IN 1989)

H50A. MEDIAN GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME 

 IN 1989(1) 1

 Universe: Specified renter-occupied housing units paying 

 cash rent

 Median gross rent as a percentage of household income in 1989

H51. AGE OF HOUSEHOLDER(2) BY GROSS RENT AS A PERCENTAGE OF HOUSEHOLD

 INCOME IN 1989(6) 12

 Universe: Specified renter-occupied housing units

 15 to 64 years:

 Less than 20 percent

 20 to 24 percent

 25 to 29 percent

 30 to 34 percent

 35 percent or more

 Not computed

 65 years and over:

 (Repeat GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME 

 IN 1989)

H52. MORTGAGE STATUS AND SELECTED MONTHLY OWNER COSTS(21) 21

 Universe: Specified owner-occupied housing units

 With a mortgage:

 Less than $200

 $200 to $299

 $300 to $399

 $400 to $499

 $500 to $599

 $600 to $699

 $700 to $799

 $800 to $899
 $900 to $999

 $1,000 to $1,249

 $1,250 to $1,499

 $1,500 to $1,999

 $2,000 or more

 Not mortgaged:

 Less than $100

 $100 to $149

 $150 to $199

 $200 to $249

 $250 to $299

 $300 to $349

 $350 to $399

 $400 or more

H52A. MEDIAN SELECTED MONTHLY OWNER COSTS AND MORTGAGE STATUS(2) 2

 Universe: Specified owner-occupied housing units

 With a mortgage

 Not mortgaged

H53. AGGREGATE SELECTED MONTHLY OWNER COSTS(1) BY MORTGAGE STATUS(2) 2

 Universe: Specified owner-occupied housing units

 Total:

 With a mortgage

 Not mortgaged

H54. RACE OF HOUSEHOLDER(5) BY MORTGAGE STATUS AND SELECTED MONTHLY 

 OWNER COSTS(11) 55

 Universe: Specified owner-occupied housing units

 White:

 With a mortgage:

 Less than $300

 $300 to $499

 $500 to $699

 $700 to $999

 $1,000 to $1,499

 $1,500 or more

 Not mortgaged:

 Less than $100

 $100 to $199

 $200 to $299

 $300 to $399

 $400 or more

 Black:

 (Repeat MORTGAGE STATUS AND SELECTED MONTHLY OWNER COSTS)

 American Indian, Eskimo, or Aleut:

 (Repeat MORTGAGE STATUS AND SELECTED MONTHLY OWNER COSTS)

 Asian or Pacific Islander:

 (Repeat MORTGAGE STATUS AND SELECTED MONTHLY OWNER COSTS)

 Other race:

 (Repeat MORTGAGE STATUS AND SELECTED MONTHLY OWNER COSTS)

H55. MORTGAGE STATUS AND SELECTED MONTHLY OWNER COSTS(11) 11

 Universe: Specified owner-occupied housing units with householder of

 Hispanic origin

 With a mortgage:

 Less than $300

 $300 to $499

 $500 to $699

 $700 to $999

 $1,000 to $1,499
 $1,500 or more

 Not mortgaged:

 Less than $100

 $100 to $199

 $200 to $299

 $300 to $399

 $400 or more

H56. AGGREGATE SELECTED MONTHLY OWNER COSTS(1) BY MORTGAGE STATUS(2) 2

 Universe: Owner-occupied mobile homes or trailers

 Total:

 With a mortgage

 Not mortgaged

H57. AGGREGATE SELECTED MONTHLY OWNER COSTS(1) BY MORTGAGE STATUS(2) 2

 Universe: Owner-occupied condominium housing units

 Total:

 With a mortgage

 Not mortgaged

H58. MORTGAGE STATUS(2) BY SELECTED MONTHLY OWNER COSTS AS A 

 PERCENTAGE OF HOUSEHOLD INCOME IN 1989(6) 12

 Universe: Specified owner-occupied housing units

 With a mortgage:

 Less than 20 percent

 20 to 24 percent

 25 to 29 percent

 30 to 34 percent

 35 percent or more

 Not computed

 Not mortgaged:

 (Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD

 INCOME IN 1989)

H58A. MEDIAN SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF 

 HOUSEHOLD INCOME IN 1989 AND MORTGAGE STATUS(2) 2

 Universe: Specified owner-occupied housing units

 With a mortgage

 Not mortgaged

H59. HOUSEHOLD INCOME IN 1989(5) BY SELECTED MONTHLY OWNER COSTS AS A

 PERCENTAGE OF HOUSEHOLD INCOME IN 1989(6) 30

 Universe: Specified owner-occupied housing units

 Less than $10,000:

 Less than 20 percent

 20 to 24 percent

 25 to 29 percent

 30 to 34 percent

 35 percent or more

 Not computed

 $10,000 to $19,999:

 (Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF 

 HOUSEHOLD INCOME IN 1989)

 $20,000 to $34,999:

 (Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF 

 HOUSEHOLD INCOME IN 1989)

 $35,000 to $49,999:

 (Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF 

 HOUSEHOLD INCOME IN 1989)

 $50,000 or more:

 (Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF 

 HOUSEHOLD INCOME IN 1989)
H60. AGE OF HOUSEHOLDER(2) BY SELECTED MONTHLY OWNER COSTS AS A 

 PERCENTAGE OF HOUSEHOLD INCOME IN 1989(6) 12

 Universe: Specified owner-occupied housing units

 15 to 64 years:

 Less than 20 percent

 20 to 24 percent

 25 to 29 percent

 30 to 34 percent

 35 percent or more

 Not computed

 65 years and over:

 (Repeat SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF 

 HOUSEHOLD INCOME IN 1989)

H61. VALUE(20) 20

 Universe: Specified owner-occupied housing units

 Less than $15,000

 $15,000 to $19,999

 $20,000 to $24,999

 $25,000 to $29,999

 $30,000 to $34,999

 $35,000 to $39,999

 $40,000 to $44,999

 $45,000 to $49,999

 $50,000 to $59,999

 $60,000 to $74,999

 $75,000 to $99,999

 $100,000 to $124,999

 $125,000 to $149,999

 $150,000 to $174,999

 $175,000 to $199,999

 $200,000 to $249,999

 $250,000 to $299,999

 $300,000 to $399,999

 $400,000 to $499,999

 $500,000 or more

H61A. MEDIAN VALUE(1) 1

 Universe: Specified owner-occupied housing units

 Median value

H62. AGGREGATE VALUE(1) BY MORTGAGE STATUS(2) 2

 Universe: Specified owner-occupied housing units

 Total:

 With a mortgage

 Not mortgaged

H63. AGGREGATE HOUSEHOLD INCOME IN 1989(1) BY TENURE AND MORTGAGE

 STATUS(3) 3

 Universe: Occupied housing units

 Total:

 Owner occupied:

 With a mortgage

 Not mortgaged

 Renter occupied

H64. PLUMBING FACILITIES(2) 2

 Universe: Housing units

 Complete plumbing facilities

 Lacking complete plumbing facilities

H65. PLUMBING FACILITIES(2) 2

 Universe: Vacant housing units
 Complete plumbing facilities

 Lacking complete plumbing facilities

H66. RACE OF HOUSEHOLDER(5) BY PLUMBING FACILITIES(2) 10

 Universe: Occupied housing units

 White:

 Complete plumbing facilities

 Lacking complete plumbing facilities

 Black:

 (Repeat PLUMBING FACILITIES)

 American Indian, Eskimo, or Aleut:

 (Repeat PLUMBING FACILITIES)

 Asian or Pacific Islander:

 (Repeat PLUMBING FACILITIES)

 Other race:

 (Repeat PLUMBING FACILITIES)

H67. PLUMBING FACILITIES(2) 2

 Universe: Occupied housing units with householder of Hispanic origin

 Complete plumbing facilities

 Lacking complete plumbing facilities

H68. AGE OF HOUSEHOLDER(2) BY PLUMBING FACILITIES(2) 4

 Universe: Occupied housing units

 15 to 64 years:

 Complete plumbing facilities

 Lacking complete plumbing facilities

 65 years and over:

 (Repeat PLUMBING FACILITIES)

H69. TENURE(2) BY PLUMBING FACILITIES(2) BY PERSONS PER ROOM(3) 12

 Universe: Occupied housing units

 Owner occupied:

 Complete plumbing facilities:

 1. 00 or less

 1. 01 to 1. 50

 1. 51 or more

 Lacking complete plumbing facilities:

 (Repeat PERSONS PER ROOM)

 Renter occupied:

 (Repeat PLUMBING FACILITIES By PERSONS PER ROOM)

H70. PLUMBING FACILITIES(2) BY UNITS IN STRUCTURE(10) 20

 Universe: Housing units

 Complete plumbing facilities:

 1, detached

 1, attached

 2

 3 or 4

 5 to 9

 10 to 19

 20 to 49

 50 or more

 Mobile home or trailer

 Other

 Lacking complete plumbing facilities:

 (Repeat UNITS IN STRUCTURE)

H71. PLUMBING FACILITIES(2) BY PERSONS PER ROOM(2) BY YEAR STRUCTURE

 BUILT(2) 8

 Universe: Occupied housing units

 Complete plumbing facilities:

 1. 00 or less:
 1940 to March 1990

 1939 or earlier

 1. 01 or more:

 (Repeat YEAR STRUCTURE BUILT)

 Lacking complete plumbing facilities:

 (Repeat PERSONS PER ROOM By YEAR STRUCTURE BUILT)

H72. IMPUTATION OF HOUSING ITEMS(2) 2

 Universe: Housing units

 No items allocated

 One or more items allocated

H73. IMPUTATION OF CONDOMINIUM STATUS(2) 2

 Universe: Housing units

 Allocated

 Not allocated

H74. IMPUTATION OF PLUMBING FACILITIES(2) 2

 Universe: Housing units

 Allocated

 Not allocated

H75. IMPUTATION OF SOURCE OF WATER(2) 2

 Universe: Housing units

 Allocated

 Not allocated

H76. IMPUTATION OF SEWAGE DISPOSAL(2) 2

 Universe: Housing units

 Allocated

 Not allocated

H77. IMPUTATION OF YEAR STRUCTURE BUILT(2) 2

 Universe: Housing units

 Allocated

 Not allocated

H78. IMPUTATION OF YEAR HOUSEHOLDER MOVED INTO UNIT(2) 2

 Universe: Occupied housing units

 Allocated

 Not allocated

H79. IMPUTATION OF HOUSE HEATING FUEL(2) 2

 Universe: Occupied housing units

 Allocated

 Not allocated

H80. IMPUTATION OF KITCHEN FACILITIES(2) 2

 Universe: Housing units

 Allocated

 Not allocated

H81. IMPUTATION OF BEDROOMS(2) 2

 Universe: Housing units

 Allocated

 Not allocated

H82. IMPUTATION OF TELEPHONE IN HOUSING UNIT(2) 2

 Universe: Occupied housing units

 Allocated

 Not allocated

H83. IMPUTATION OF VEHICLES AVAILABLE(2) 2

 Universe: Occupied housing units

 Allocated

 Not allocated

H84. IMPUTATION OF MORTGAGE STATUS(2) 2

 Universe: Specified owner-occupied housing units
 Allocated

 Not allocated

H85. IMPUTATION OF TENURE(2) 2

 Universe: Occupied housing units

 Allocated

 Not allocated

H86. IMPUTATION OF VACANCY STATUS(2) 2

 Universe: Vacant housing units

 Allocated

 Not allocated

H87. IMPUTATION OF ROOMS(2) 2

 Universe: Housing units

 Allocated

 Not allocated

H88. IMPUTATION OF UNITS IN STRUCTURE(2) 2

 Universe: Housing units

 Allocated

 Not allocated

H89. IMPUTATION OF VALUE(2) 2

 Universe: Specified owner-occupied housing units

 Allocated

 Not allocated

H90. IMPUTATION OF MEALS INCLUDED IN RENT(2) 2

 Universe: Specified renter-occupied housing units paying cash rent

 Allocated

 Not allocated

H91. IMPUTATION OF GROSS RENT(2) 2

 Universe: Specified renter-occupied housing units

 Allocated

 Not allocated

H92. IMPUTATION OF MORTGAGE STATUS AND SELECTED MONTHLY OWNER COSTS(4) 4

 Universe: Specified owner-occupied housing units

 With a mortgage:

 Allocated

 Not allocated

 Not mortgaged:

 Allocated

 Not allocated
SUMMARY LEVEL SEQUENCE CHARTS

STF 3A

 Summary Geographic

 level component

Summary level area code code

State 040 00 40

 42-44

 State--County 050 00

 State--County--County Subdivision 060 00

 State--County--County Subdivision--Place/Remainder 070 00

 State--County--County Subdivision--Place/

 Remainder--Census Tract/Block Numbering Area 080 00

 State--County--County Subdivision--Place/ 090 00

 Remainder--Census Tract/Block Numbering

 Area--American Indian/Alaska Native

 Area/Remainder--Reservation/Trust Lands/

 Remainder--Alaska Native Regional

 Corporation/Remainder--Urbanized Area/

 Remainder--Urban/Rural--Congressional

 District--Block Group

State--County--Census Tract/Block Numbering Area 140 00

State--County--Census Tract/Block Numbering Area--

 Block Group 150 00

State--Place--County 155 00

State--Place 160 00

State--Consolidated City 170 00

State--American Indian Reservation with Trust Lands 210 00

 State--American Indian Reservation with Trust Lands;

 reservation only 211 00

 American Indian Reservation [reservation with or 220 00

 without trust lands; reservation only]/Tribal

 Jurisdiction Statistical Area/Tribal Designated

 Statistical Area/Alaska Native Village Statistical

 Area-State-County

 State--American Indian Reservation with Trust Lands; 212 00

 trust lands only

 American Indian Trust Lands [trust lands with or 221 00

 without reservation; trust lands only]-State-County
State--American Indian Reservation with no Trust 215 00

 Lands/Tribal Jurisdiction Statistical Area/Tribal

 Designated Statistical Area/Alaska Native Village

 Statistical Area

 American Indian Reservation [reservation with or 220 00

 without trust lands; reservation only]/Tribal

 Jurisdiction Statistical Area/Tribal Designated

 Statistical Area/Alaska Native Village Statistical

 Area-State-County

State--American Indian Trust Lands [trust lands with 216 00

 no reservation]

 American Indian Trust Lands [trust lands with or 221 00

 without reservation; trust lands only]-State-County

State--Alaska Native Regional Corporation 230 00

State--Metropolitan Statistical Area/Consolidated 319 00

 Metropolitan Statistical Area

 Metropolitan Statistical Area [no CMSAs]-State-Central 340 00

 City

 Metropolitan Statistical Area [no CMSAs]-State-County 329 00

 State--Consolidated Metropolitan Statistical Area-Primary 321 00

 Metropolitan Statistical Area

 Consolidated Metropolitan Statistical Area-Primary 341 00

 Metropolitan Statistical Area-State-Central City

 Consolidated Metropolitan Statistical Area-Primary 331 00

 Metropolitan Statistical Area-State-County

State--Urbanized Area 420 00

 Urbanized Area--State-Central Place 460 00

 Urbanized Area--State-County 430 00

 Urbanized Area--State-County-County Subdivision 440 00

 Urbanized Area--State-County-County Subdivision-Place 450 00

STF 3B

ZIP Code 800 00

 ZIP Code--State 810 00

 ZIP Code--State-County 820 00
STF 3C

United States 010 00 01-11

 20-28

 30-36 40

 42-44

Region 020 00 01-11

 20-28

 30-36 40

 42-44

Division 030 00 01-11

 20-28

 30-36 40

 42-44

State 040 00 01-11

 20-28

 30-36 40

 42-44

 State--County 050 00

 State [12 States only--CT, ME, MA, MI, MN, 061 00

 NH, NJ, NY, PA, RI, VT, WI] County Subdivision 

 [10,000 or more persons]

 State [6 States only--CT, ME, MA, NH, RI, VT]-County 062 00

 Subdivision [under 10,000 persons and in an MSA/CMSA]

 State--Place [10,000 or more persons] 161 00

 State--Consolidated City 170 00

American Indian Reservation with Trust Lands 200 00

 American Indian Reservation with Trust Lands; 201 00

 reservation only 

 American Indian Reservation with Trust Lands; 205 00

 reservation only-State

 American Indian Reservation [reservation with or 220 00

 without-trust lands; reservation only]/Tribal 

 Jurisdiction Statistical Area/Tribal Designated 

 Statistical Area/Alaska Native Village Statistical 

 Area-State-County

 American Indian Reservation with Trust Lands; trust 202 00

 lands only 

 American Indian Reservation with Trust Lands; trust 206 00

 lands only-State 
 American Indian Trust Lands [trust lands with or 221 00

 without reservation; trust lands only]-State-County

American Indian Reservation with no Trust Lands/Tribal 203 00

 Jurisdiction Statistical Area/Tribal Designated 

 Statistical Area/Alaska Native Village Statistical Area

 American Indian Reservation with no Trust Lands/ 207 00

 Tribal Jurisdiction Statistical Area/Tribal 

 Designated Statistical Area/Alaska Native Village 

 Statistical Area-State

 American Indian Reservation [reservation with or 220 00

 without trust lands; reservation only]/Tribal 

 Jurisdiction Statistical Area/Tribal Designated 

 Statistical Area/Alaska Native Village

 Statistical Area-State-County

American Indian Trust Lands [trust lands with no 204 00

 reservation] 

 American Indian Trust Lands [trust lands with State 208 00

 no reservation] 

 American Indian Trust Lands [trust lands with or 221 00

 without reservation; trust lands only]-State-County

State--Alaska Native Regional Corporation 230 00

Metropolitan Statistical Area/Consolidated Metropolitan 300 00 23 24

 Statistical Area 

 Metropolitan Statistical Area [no CMSAs]-State-Central 340 00

 City 

 Metropolitan Statistical Area/Consolidated Metropolitan 310 00

 Statistical Area-State

 Metropolitan Statistical Area [no CMSAs]-State-County 329 00

 Consolidated Metropolitan Statistical Area-Primary 301 00 23 24

 Metropolitan Statistical Area

 Consolidated Metropolitan Statistical Area-Primary 341 00

 Metropolitan Statistical Area-State-Central City

 Consolidated Metropolitan Statistical Area-Primary 311 00

 Metropolitan Statistical Area-State

 Consolidated Metropolitan Statistical Area-Primary 331 00

 Metropolitan Statistical Area-State-County

Urbanized Area 400 00 03 04

 Urbanized Area--State-Central Place 460 00

 Urbanized Area--State 410 00 03 04
 Urbanized Area--State-County 430 00

 Urbanized Area--State-County-County Subdivision 440 00

 Urbanized Area--State-County-County 450 00

 Subdivision-Place
CENSUS OF POPULATION AND HOUSING, 1990:

SUMMARY TAPE FILE 3 ON CD-ROM

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 as of 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.)

April 1992
CENSUS OF POPULATION AND HOUSING, 1990:

SUMMARY TAPE FILE 3 ON CD-ROM

USER NOTE 2

Clarification of Differences Between 100-Percent Counts and Sample

Estimates--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, and so forth) and the processing rules differ

somewhat between the 100-percent and sample tabulations. These types of

differences are reflected in what is called nonsampling error. (For a more

detailed description of nonsampling error, see Appendix C, "Accuracy of the

Data," in the technical documentation for Summary Tape File 3.)

The 100-percent data are the official counts and should be used as the

source of information on items collected on the 100-percent questionnaire,

such as race, Hispanic origin, age, and number of rooms in housing. This

is especially appropriate when the primary focus is on counts of the

population or housing units for small areas such as census tracts, 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, gender, 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

and higher levels, we also would expect that sample estimates and 100-

percent counts for population by race, age, gender, 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, 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 race, age, gender, 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 (mean, median, and so on) 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 we have done in previous censuses, we 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.

April 1992
CENSUS OF POPULATION AND HOUSING, 1990:

SUMMARY TAPE FILE 3 ON CD-ROM

USER NOTE 3

Appendix G--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.

April 1992
DATA DICTIONARY

CONTENTS

Identification Section 1

Table (Matrix) Section 13

IDENTIFICATION SECTION

 Data dictionary Field Starting Data

Field name reference name size position type

Record Codes 

File Identification(1) FILEID 8 1 A/N

State/US Abbreviation STUSAB 2 9 A

---------------------------------------------------------------------------

AK Alaska ID Idaho NC North Carolina SC South Carolina

AL Alabama IL Illinois ND North Dakota SD South Dakota

AR Arkansas IN Indiana NE Nebraska TN Tennessee

AZ Arizona KS Kansas NH New Hampshire TX Texas

CA California KY Kentucky NJ New Jersey US United States

CO Colorado LA Louisiana NM New Mexico UT Utah

CT Connecticut MA Massachusetts NV Nevada VA Virginia

DC District of MD Maryland NY New York VI Virgin

 Columbia ME Maine OH Ohio Islands of the

DE Delaware MI Michigan OK Oklahoma United States

FL Florida MN Minnesota OR Oregon VT Vermont

GA Georgia MO Missouri PA Pennsylvania WA Washington

HI Hawaii MS Mississippi PR Puerto Rico WI Wisconsin

IA Iowa MT Montana RI Rhode Island WV West Virginia

 WY Wyoming

---------------------------------------------------------------------------

Summary Level(2) SUMLEV 3 11 N

Geographic Component(3) GEOCOMP 2 14 N

---------------------------------------------------------------------------

00 Not a geographic component

01 Urban

02 Urban-in urbanized area

03 Urban-in urbanized area-in urbanized area central place

04 Urban-in urbanized area-not in urbanized area central place

05 Urban-not in urbanized area

06 Urban-not in urbanized area-place [10,000 or more persons]

07 Urban-not in urbanized area-place [2,500 to 9,999 persons]

08 Rural

09 Rural-place [1,000 to 2,499 population, not in an extended city]

10 Rural-place [0 to 999 population, not in an extended city]

11 Rural-not in place [or rural part of extended city]

12 Rural-farm

13 Urban portion of extended city

14 Rural portion of extended city
20 In metropolitan statistical area/consolidated metropolitan statistical 

 area

21 In metropolitan statistical area/consolidated metropolitan statistical 

 area-urban

22 In metropolitan statistical area/consolidated metropolitan statistical 

 area-rural

23 In metropolitan statistical area/consolidated metropolitan statistical 

 area-in metropolitan statistical area/primary metropolitan

 statistical area central city

24 In metropolitan statistical area/consolidated metropolitan 

 statistical area-not in metropolitan statistical area/primary 

 metropolitan statistical area central city

25 In metropolitan statistical area/consolidated metropolitan 

 statistical area-not in metropolitan statistical area/primary 

 metropolitan statistical area central city-urban

26 In metropolitan statistical area/consolidated metropolitan 

 statistical area-not in metropolitan statistical area/primary 

 metropolitan statistical area central city-urban-in urbanized area

27 In metropolitan statistical area/consolidated metropolitan 

 statistical area-not in metropolitan statistical area/primary 

 metropolitan statistical area central city-urban-not in urbanized 

 area

28 In metropolitan statistical area/consolidated metropolitan 

 statistical area-not in metropolitan statistical area/primary 

 metropolitan statistical area central city-rural

30 Not in metropolitan statistical area/consolidated metropolitan 

 statistical area

31 Not in metropolitan statistical area/consolidated metropolitan 

 statistical area-urban

32 Not in metropolitan statistical area/consolidated metropolitan 

 statistical area-urban-in urbanized area

33 Not in metropolitan statistical area/consolidated metropolitan 

 statistical area-urban-not in urbanized area

34 Not in metropolitan statistical area/consolidated metropolitan 

 statistical area-urban-not in urbanized area-place [10,000

 or more population]

35 Not in metropolitan statistical area/consolidated metropolitan 

 statistical area-urban-not in urbanized area-place 

 [2,500 - 9,999 population]

36 Not in metropolitan statistical area/consolidated metropolitan 

 statistical area-rural

40 American Indian reservation and trust land [American Indian 

 reservations (AIR codes 0001-4989) including any trust 

 lands]

42 Tribal Jurisdiction Statistical Area [Oklahoma only] 

43 Tribal Designated Statistical Area 

44 Alaska Native village statistical area [Alaska only]

---------------------------------------------------------------------------

Characteristic Iteration(4) CHARITER 3 16 N

---------------------------------------------------------------------------

 000 Not a characteristic iteration

---------------------------------------------------------------------------
Logical Record Number(5) LOGRECNU 6 19 N

Logical Record Part

 Number(6) LOGRECPN 4 25 N

Total Number of Parts in 

 Record(7) PARTREC 4 29 N

Geographic Area Codes

Alaska Native Regional

 Corporation(8) ANRC 2 33 A/N

---------------------------------------------------------------------------

07 Ahtna 28 Bering Straits 49 Chugach 70 Koniag

14 Aleut 35 Bristol Bay 56 Cook Inlet 77 NANA

21 Arctic Slope 42 Calista 63 Doyon 84 Sealaska 

---------------------------------------------------------------------------

American Indian/Alaska 

 Native Area (Census)(9) AIANACE 4 35 A/N

American Indian/Alaska 

 Native Area (FIPS)(10) AIANAFP 5 39 A/N

American Indian/Alaska

 Native Area Class Code AIANACC 2 44 A/N

---------------------------------------------------------------------------

D1 Federally recognized American Indian reservation that does not serve

 as a minor civil division (MCD) equivalent 

D2 Federally recognized American Indian reservation that also serves as 

 an MCD equivalent 

D3 American Indian tribal government that holds property in trust 

 "trust land" for a tribe or individual member(s) of the tribe, and

 the trust land(s) is not associated with a specific American Indian

 reservation or the associated American Indian reservation is not 

 located in this State

D4 State-recognized American Indian reservation that does not serve as 

 an MCD equivalent

D5 State-recognized American Indian reservation that also serves as an 

 MCD equivalent

D6 Tribal designated statistical area (TDSA); tribal jurisdiction 

 statistical area (TJSA) (TJSAs occur only in Oklahoma)

E1 Alaska Native village statistical area (ANVSA) that does not 

 coincide with or approximate an incorporated place or a

 census designated place (CDP) 

E2 ANVSA that coincides with or approximates a CDP 

E6 ANVSA that coincides with or approximates an incorporated place

---------------------------------------------------------------------------

American Indian Reservation

 Trust Land Indicator Code ARTLI 1 46 A/N

---------------------------------------------------------------------------
1 American Indian reservation; including Tribal Jurisdiction Statistical 

 Area (TJSA) and Tribal Designated Statistical Area (TDSA)

2 Off-reservation trust land

9 Not an American Indian area

---------------------------------------------------------------------------

Block(8) BLCK 4 47 A/N

Block Group(8) BLCKGR 1 51 A/N

Census Tract/Block Numbering

 Area(8) TRACTBNA 6 52 A/N

Congressional District

 (101st Congress)(8) CONGDIS 2 58 A/N

---------------------------------------------------------------------------

01-45 The actual congressional district number

 00 Applies to States whose representative is elected "at large"; i.e., 

 the State has only one representative in the United States House of 

 Representatives

 98 Applies to areas that have a nonvoting delegate in the United States 

 House of Representatives

 99 Applies to areas that have no representation in the United States 

 House of Representatives

---------------------------------------------------------------------------

Consolidated City

 (Census)(8) CONCITCE 1 60 A/N

---------------------------------------------------------------------------

B Butte-Silver Bow, Montana I Indianapolis, Indiana 

C Columbus, Georgia J Jacksonville, Florida 

M Milford, Connecticut N Nashville-Davidson, Tennessee

---------------------------------------------------------------------------

Consolidated City (FIPS)

 (8,10) CONCITFP 5 61 A/N

Consolidated City Class

 Code(10) CONCITCC 2 66 A/N

---------------------------------------------------------------------------

 C3 Consolidated city 

---------------------------------------------------------------------------

Consolidated City Population

 Size Code CONCITSC 2 68 A/N

---------------------------------------------------------------------------

 00 Not in universe 12 2,500-4,999 

 01 0 13 5,000-9,999 

 02 1-24 14 10,000-19,999 

 03 25-99 15 20,000-24,999 
 04 100-199 16 25,000-49,999 

 05 200-249 17 50,000-99,999 

 06 250-299 18 100,000-249,999

 07 300-499 19 250,000-499,999

 08 500-999 20 500,000-999,999

 09 1,000-1,499 21 1,000,000-2,499,999

 10 1,500-1,999 22 2,500,000-4,999,999

 11 2,000-2,499 23 5,000,000 or more

---------------------------------------------------------------------------

Consolidated Metropolitan 

 Statistical Area(9) CMSA 2 70 A/N

County(9) CNTY 3 72 A/N

County Population Size Code CNTYSC 2 75 A/N

---------------------------------------------------------------------------

 00 Not in universe 12 2,500-4,999 

 01 0 13 5,000-9,999 

 02 1-24 14 10,000-19,999 

 03 25-99 15 20,000-24,999 

 04 100-199 16 25,000-49,999 

 05 200-249 17 50,000-99,999 

 06 250-299 18 100,000-249,999

 07 300-499 19 250,000-499,999

 08 500-999 20 500,000-999,999

 09 1,000-1,499 21 1,000,000-2,499,999

 10 1,500-1,999 22 2,500,000-4,999,999

 11 2,000-2,499 23 5,000,000 or more

---------------------------------------------------------------------------

County Subdivision

 (Census)(9) COUSUBCE 3 77 A/N

County Subdivision (FIPS)

 (10) COUSUBFP 5 80 A/N

County Subdivision Class 

 Code COUSUBCC 2 85 A/N

---------------------------------------------------------------------------

C2 Incorporated place that also serves as a minor civil division (MCD)

 equivalent because, although the place is coextensive with an MCD,

 the Census Bureau, in agreement with State officials, does not

 recognize that MCD for presenting census data because the MCD cannot

 provide governmental services (Ohio only)

C5 Incorporated place that also serves as an MCD equivalent because it is

 not part of an MCD or a county subdivision classified as Z5

C7 Incorporated place that also serves as a county equivalent and an MCD 

 equivalent; generally referred to as an "independent city"

D2 Federally recognized American Indian reservation that also serves as an 

 MCD equivalent

D5 State-recognized American Indian reservation that also serves as an MCD 

 equivalent

T1 Governmentally active minor civil division (MCD) that is not 

 coextensive with an incorporated place
T5 Governmentally active MCD that is coextensive with an incorporated 

 place

Z1 MCD that is governmentally inactive or cannot provide general-purpose 

 governmental services

Z3 Unorganized territory identified by the Census Bureau as an MCD 

 equivalent for presenting census data

Z5 Census county division (CCD); census subarea (CSA) (Alaska only); 

 census subdistrict (Virgin Islands only)

Z7 Incorporated place that the Census Bureau treats as a minor civil 

 division (MCD) equivalent because it is not in any MCD or is 

 coextensive with a legally established but nonfunctioning MCD that 

 the Census Bureau does not recognize for data presentation, AND is 

 located in a State or county whose MCDs cannot provide governmental 

 services (Iowa and Nebraska only)

---------------------------------------------------------------------------

County Subdivision Population

 Size Code COUSUBSC 2 87 A/N

---------------------------------------------------------------------------

 00 Not in universe 12 2,500-4,999 

 01 0 13 5,000-9,999 

 02 1-24 14 10,000-19,999 

 03 25-99 15 20,000-24,999 

 04 100-199 16 25,000-49,999 

 05 200-249 17 50,000-99,999 

 06 250-299 18 100,000-249,999

 07 300-499 19 250,000-499,999

 08 500-999 20 500,000-999,999

 09 1,000-1,499 21 1,000,000-2,499,999

 10 1,500-1,999 22 2,500,000-4,999,999

 11 2,000-2,499 23 5,000,000 or more

---------------------------------------------------------------------------

Division(8) DIVIS 1 89 A/N

---------------------------------------------------------------------------

0 Not in a division 4 West North Central 7 West South Central 

1 New England 5 South Atlantic 8 Mountain 

2 Middle Atlantic 6 East South Central 9 Pacific 

3 East North Central 

---------------------------------------------------------------------------

Extended City Indicator(8) EXTCITIN 1 90 A/N

---------------------------------------------------------------------------

 1 Extended city 9 Not an extended city 

---------------------------------------------------------------------------

Internal Use Code(11) INTUC 15 91 A/N

Metropolitan Statistical

 Area/Consolidated Metro-

 politan Statistical 

 Area(9) MSACMSA 4 106 A/N

MSA/CMSA Population Size

 Code MSACMSAS 2 110 A/N

---------------------------------------------------------------------------

 00 Not in universe 12 2,500-4,999 
 01 0 13 5,000-9,999 

 02 1-24 14 10,000-19,999 

 03 25-99 15 20,000-24,999 

 04 100-199 16 25,000-49,999 

 05 200-249 17 50,000-99,999 

 06 250-299 18 100,000-249,999

 07 300-499 19 250,000-499,999

 08 500-999 20 500,000-999,999

 09 1,000-1,499 21 1,000,000-2,499,999

 10 1,500-1,999 22 2,500,000-4,999,999

 11 2,000-2,499 23 5,000,000 or more

---------------------------------------------------------------------------

Place (Census)(9) PLACECE 4 112 A/N

Place (FIPS)(10) PLACEFP 5 116 A/N

Place Class Code PLACECC 2 121 A/N

---------------------------------------------------------------------------

C1 Incorporated place that is governmentally active, is not related to an 

 Alaska Native village statistical area (ANVSA), and does not serve as

 a minor civil division (MCD) equivalent

C2 Incorporated place that also serves as a minor civil division (MCD) 

 equivalent because, although the place is coextensive with an MCD,

 the Census Bureau, in agreement with State officials, does not

 recognize that MCD for presenting census data because the MCD cannot

 provide governmental services (Iowa and Ohio only)

C5 Incorporated place that also serves as an MCD equivalent because it is 

 not part of an MCD

C6 Incorporated place that coincides with or approximates an ANVSA

C7 Incorporated place that also serves as a county equivalent; generally 

 referred to as an "independent city"

C8 The portion ("remainder") of a consolidated city that excludes the 

 incorporated place(s) within that jurisdiction

C9 Incorporated place whose government is operationally inactive and is 

 not included in any other C subclass

M2 Military or Coast Guard installation (or part of an installation) that 

 serves as a census designated place (CDP)

U1 CDP with a name that is commonly recognized for the populated area

U2 CDP with a name that is not commonly recognized for the populated area 

 (e.g., a combination of the names of two or three commonly recognized

 communities, or a name that identifies the location of the CDP in 

 relation to an adjacent incorporated place)

U9 CDP that coincides with or approximates an ANVSA. 

Note: In Ohio, a multi-county place that has a different MCD relationship

 in each county is assigned only a single class code of C1, C2, or 

 C5.

---------------------------------------------------------------------------

Place Description Code PLACEDC 1 123 A/N

---------------------------------------------------------------------------

1 Incorporated central city of a metropolitan statistical area/primary 

 metropolitan statistical area (MSA/PMSA), but not a central place of

 an urbanized area (UA)

2 Incorporated central place of an urbanized area (UA), but not a central

 city of a metropolitan statistical area/primary metropolitan

 statistical area (MSA/PMSA)
3 Incorporated central city of a metropolitan statistical area/primary

 metropolitan statistical area (MSA/PMSA) and a central place of an

 urbanized area (UA)

4 Consolidated city or an incorporated place that is not a central city of 

 a metropolitan statistical area/primary metropolitan statistical area

 (MSA/PMSA) and not a central place of an urbanized area (UA)

5 Incorporated place, which is the central place of an urbanized area 

 (UA), but only part of which is the central city of a metropolitan

 statistical area/primary metropolitan statistical area (MSA/PMSA)

6 Incorporated place, which is not a central place of an urbanized area 

 (UA), but part of which is the central city of a metropolitan

 statistical area/primary metropolitan statistical area (MSA/PMSA)

A Census designated place (CDP) that is a central place of an urbanized 

 area (UA), but not a central city of a metropolitan statistical

 area/primary metropolitan statistical area (MSA/PMSA)

B Census designated place (CDP) that is a central city of a metropolitan

 statistical area/primary metropolitan statistical area (MSA/PMSA), but

 not a central place of an urbanized area (UA)

C Census designated place (CDP) that is a central city of a metropolitan

 statistical area/primary metropolitan statistical area (MSA/PMSA) and

 a central place of an urbanized area (UA)

D Census designated place (CDP) that is in a 1980 or special census

 urbanized area (UA) and is not a central city or a central place;

 these CDP's must have a 1990 population of at least 300 in Hawaii and

 the Virgin Islands of the United States, 1,000 in Puerto Rico, and

 2,500 elsewhere

E Census designated place (CDP) not classified elsewhere; these CDP's must 

 meet the following minimum population requirements:

 -- 300 in Hawaii and the Virgin Islands of the United States

 -- 25 in Alaska

 -- 1,000 in all other States and Puerto Rico

F Zona urbana that is a central place of an urbanized area (UA) in Puerto

 Rico, but not a central city of a metropolitan statistical

 area/primary metropolitan statistical area (MSA/PMSA)

G Zona urbana that is a central city of a metropolitan statistical 

 area/primary metropolitan statistical area (MSA/PMSA) in

 Puerto Rico, but not a central place of an urbanized area (UA)

H Zona urbana that is a central city of a metropolitan statistical 

 area/primary metropolitan statistical area (MSA/PMSA) 

 and a central place of an urbanized area (UA)

I Zona urbana in Puerto Rico that is not a central city or a central place

L Census designated place (CDP) entirely within an American Indian 

 reservation and entirely outside of a 1980 or special census urbanized

 area (UA); these CDP's must have a 1990 population of at least 25 in 

 Alaska and 250 elsewhere

---------------------------------------------------------------------------

Place Population Size Code PLACESC 2 124 A/N

---------------------------------------------------------------------------

 00 Not in universe 12 2,500-4,999 

 01 0 13 5,000-9,999 

 02 1-24 14 10,000-19,999 

 03 25-99 15 20,000-24,999 

 04 100-199 16 25,000-49,999 
 05 200-249 17 50,000-99,999 

 06 250-299 18 100,000-249,999

 07 300-499 19 250,000-499,999

 08 500-999 20 500,000-999,999

 09 1,000-1,499 21 1,000,000-2,499,999

 10 1,500-1,999 22 2,500,000-4,999,999

 11 2,000-2,499 23 5,000,000 or more

---------------------------------------------------------------------------

Primary Metropolitan Statis-

 tical Area(9) PMSA 4 126 A/N

Region(8) REG 1 130 A/N

---------------------------------------------------------------------------

 1 Northeast 2 Midwest 3 South 4 West

---------------------------------------------------------------------------

State (Census)(8) STATECE 2 131 A/N

---------------------------------------------------------------------------

06 Puerto Rico 33 Illinois 54 Virginia 81 Montana

07 Virgin Islands of 34 Michigan 55 West Virginia 82 Idaho 

 the United States 35 Wisconsin 56 North Carolina 83 Wyoming

11 Maine 41 Minnesota 57 South Carolina 84 Colorado

12 New Hampshire 42 Iowa 58 Georgia 85 New Mexico

13 Vermont 43 Missouri 59 Florida 86 Arizona

14 Massachusetts 44 North Dakota 61 Kentucky 87 Utah

15 Rhode Island 45 South Dakota 62 Tennessee 88 Nevada

16 Connecticut 46 Nebraska 63 Alabama 91 Washington

21 New York 47 Kansas 64 Mississippi 92 Oregon

22 New Jersey 51 Delaware 71 Arkansas 93 California

23 Pennsylvania 52 Maryland 72 Louisiana 94 Alaska

31 Ohio 53 District of 73 Oklahoma 95 Hawaii

32 Indiana Columbia 74 Texas

---------------------------------------------------------------------------

State (FIPS)(8) STATEFP 2 133 A/N

---------------------------------------------------------------------------

01 Alabama 17 Illinois 31 Nebraska 46 South Dakota

02 Alaska 18 Indiana 32 Nevada 47 Tennessee

04 Arizona 19 Iowa 33 New Hampshire 48 Texas

05 Arkansas 20 Kansas 34 New Jersey 49 Utah

06 California 21 Kentucky 35 New Mexico 50 Vermont

08 Colorado 22 Louisiana 36 New York 51 Virginia

09 Connecticut 23 Maine 37 North Carolina 53 Washington

10 Delaware 24 Maryland 38 North Dakota 54 West Virginia

11 District of 25 Massachusetts 39 Ohio 55 Wisconsin

 Columbia 26 Michigan 40 Oklahoma 56 Wyoming

12 Florida 27 Minnesota 41 Oregon 72 Puerto Rico

13 Georgia 28 Mississippi 42 Pennsylvania 78 Virgin Islands

15 Hawaii 29 Missouri 44 Rhode Island of the

16 Idaho 30 Montana 45 South Carolina United 

 States

---------------------------------------------------------------------------

Urban/Rural(8) URBANRUR 1 135 A/N
---------------------------------------------------------------------------

 1 Urban 2 Rural

---------------------------------------------------------------------------

Urbanized Area(9) URBAREA 4 136 A/N

Urbanized Area Population

 Size Code UASC 2 140 A/N

---------------------------------------------------------------------------

 00 Not in universe 12 2,500-4,999 

 01 0 13 5,000-9,999 

 02 1-24 14 10,000-19,999 

 03 25-99 15 20,000-24,999 

 04 100-199 16 25,000-49,999 

 05 200-249 17 50,000-99,999 

 06 250-299 18 100,000-249,999

 07 300-499 19 250,000-499,999

 08 500-999 20 500,000-999,999

 09 1,000-1,499 21 1,000,000-2,499,999

 10 1,500-1,999 22 2,500,000-4,999,999

 11 2,000-2,499 23 5,000,000 or more

---------------------------------------------------------------------------

Special Area Code (1) SAC1 5 142 A/N

Special Area Code (2) SAC2 5 147 A/N

Special Area Code (3) SAC3 4 152 A/N

Special Area Code (4) SAC4 4 156 A/N

Special Area Code (5) SAC5 3 160 A/N

Special Area Code (6) SAC6 3 163 A/N

Special Area Code (7) SAC7 2 166 A/N

Special Area Code (8) SAC8 2 168 A/N

Special Area Code (9) SAC9 1 170 A/N

Special Area Code (10) SAC10 1 171 A/N

---------------------------------------------------------------------------

Area Characteristics 

Area (land)(12) AREALAND 10 172 A/N

Area (water)(13) AREAWAT 10 182 A/N

Area Name/PSAD Term/

 Part Indicator 14 ANPSADPI 66 192 A/N

Functional Status Code FUNCSTAT 1 258 A/N

---------------------------------------------------------------------------

A Active governmental unit, except American Indian reservations and Alaska 

 Native village statistical areas. An active governmental unit has

 the legal capacity to have officers, to raise revenue, and to conduct

 governmental activities under State laws, and currently is doing so.

B Functioning governmental unit providing no substantive governmental 

 services.--These areas may be coextensive with and administered by

 officials of another governmental unit (such as towns in Connecticut

 that are coextensive with cities), or the number of officials and/or

 the functions they perform are so minimal and/or vestigial that the

 Census Bureau does not recognize them as governmental units for census 

 purposes (such as townships in Iowa).

F False entity.--In order to maintain complete coverage of every State at 
 the county level and of every county at the county subdivision level,

 we create false entities at these levels for any place that is

 independent of a county or independent of a minor civil division (MCD).

 This code also is used for place records that represent the remainder 

 of a consolidated city or the remainder of a county subdivision.

I Inactive governmental unit.--An inactive governmental unit has the legal

 capacity to be active, but currently has no legal officers, raises no

 revenues, and conducts no activities.

N Nonfunctioning governmental unit. A nonfunctioning governmental unit

 has legally established boundaries, but has no legal capacity to

 conduct governmental activity.

R An American Indian reservation, an American Indian tribe whose name is

 associated with trust lands, or an Alaska Native village statistical

 area.

S Statistical entity, except Alaska Native village statistical areas and

 tribal jurisdiction statistical areas. A statistical entity 

 has no governmental status and is defined by or in cooperation with the 

 Census Bureau or other Federal agency. This category includes census

 regions, census divisions, census county divisions (CCDs), census

 designated places (CDPs), metropolitan areas (MSA/CMSA/PMSAs),

 urbanized areas (UAs), unorganized territories (UTs), tribal designated

 statistical areas (TDSAs), census areas and census subareas in Alaska,

 and comunidades and zonas urbanas in Puerto Rico. 

T Tribal jurisdiction statistical area. A tribal jurisdiction

 statistical area (TJSA) is not a legally defined governmental unit, but

 is recognized as a statistical area for the 1990 census. These areas 

 exist only in the State of Oklahoma and were not recognized separately

 in 1980.

---------------------------------------------------------------------------

Geographic Change User Note

 Indicator GCUNI 1 259 A/N

---------------------------------------------------------------------------

 0 No geographic change note for the area within the summary level

 1 See User Notes for a geographic change note

---------------------------------------------------------------------------

Housing Unit Count (100%)

 (15) HU100 9 260 A/N

Internal Point (latitude)

 (16) INTPTLAT 9 269 A/N

Internal Point (longitude)

 (17) INTPTLNG 10 278 A/N

Part Flag PARTFLAG 1 288 A/N

---------------------------------------------------------------------------

 0 Not a part 1 Part

---------------------------------------------------------------------------

Political/Statistical Area

 Description Code PSADC 2 289 A/N

---------------------------------------------------------------------------

01 State or State equivalent - no status is appended to the name of the 

 entity in census publications and related data products.

04 Borough - county equivalent in Alaska; "Borough" is appended to the 

 name of the entity in census publications and related data products.

05 Census area - county equivalent in Alaska; "Census Area" is appended to 

 the name of the entity in census publications and related data 

 products.
06 County - "County" is appended to the name of the entity in census 

 publications and related data products.

08 Independent city - county equivalent in Maryland, Missouri, and

 Virginia; "city" is appended to the name of the entity in census 

 publications and related data products.

09 Independent city - county equivalent in Nevada; no status is appended

 to the name of the entity in census publications and related data

 products.

10 Island - county equivalent in Virgin Islands of the United States; 

 "Island" is appended to the name of the entity in census publications

 and related data products.

13 Municipio - county equivalent in Puerto Rico; "Municipio" is appended

 to the name of the entity in census publications and related data

 products.

14 (none) - county equivalent; used at county level for the District of 

 Columbia and Yellowstone National Park (Montana). No status is

 appended to the name of the entity in census publications and related

 data products.

15 Parish - county equivalent in Louisiana; "Parish" is appended to the

 name of the entity in census publications and related data products.

19 American Indian reservation - minor civil division (MCD) in Maine and

 New York; "Reservation" is appended to the name of the entity in

 census publications and related data products.

20 Barrio - minor civil division (MCD) in Puerto Rico; "barrio" is

 appended to the name of the entity in census publications and 

 related data products.

21 Borough - minor civil division (MCD) in New York; MCD equivalent in New 

 Jersey and Pennsylvania; "borough" is appended to the name of the

 entity in census publications and related data products.

22 Census county division (CCD) - minor civil division (MCD) equivalent in

 21 States; "division" is appended to the name of the entity in census 

 publications and related data products.

23 Census subarea - minor civil division (MCD) equivalent in Alaska;

 "census subarea" is appended to the name of the entity in census

 publications and related data products.

24 Census subdistrict - minor civil division (MCD) equivalent in the

 Virgin Islands of the United States; "subdistrict" is appended to the

 name of the entity in census publications and related data products.

25 City - minor civil division (MCD) equivalent in 20 States; "city" is

 appended to the name of the entity in census publications and related

 data products.

27 District (magisterial, road) - minor civil division (MCD) in

 Pennsylvania, Virginia, and West Virginia; "district" is appended to

 the name of the entity in census publications and related data 

 products.

28 District (assessment, election, magisterial, supervisors', or parish

 governing authority) - minor civil division (MCD) in Louisiana,

 Maryland, Mississippi, and West Virginia; no status is appended to the 

 name of the entity in census publications and related data products.

29 Election precinct - minor civil division (MCD) in Illinois and

 Nebraska; "precinct" is appended to the name of the entity in 

 census publications and related data products.

30 Election precinct - minor civil division (MCD) in Illinois and

 Nebraska; no status is appended to the name of the entity in 

 census publications and related data products.
31 Gore - minor civil division (MCD) in Maine and Vermont; "gore" is

 appended to the name of the entity in census publications and related

 data products.

32 Grant - minor civil division (MCD) in New Hampshire and Vermont;

 "grant" is appended to the name of the entity in census publications

 and related data products.

33 Independent city - minor civil division (MCD) equivalent in Maryland,

 Missouri, and Virginia; "city" is appended to the name of the entity

 in census publications and related data products.

34 Independent city - minor civil division (MCD) equivalent in Nevada; no

 status is appended to the name of the entity in census publications

 and related data products.

36 Location - minor civil division (MCD) in New Hampshire; "location" is

 appended to the name of the entity in census publications and related

 data products.

38 (none) - minor civil division (MCD) equivalent for District of Columbia

 and Arlington County, Virginia; no status is appended to the name of

 the entity in census publications and related data products.

39 Plantation - minor civil division (MCD) in Maine; "plantation" is

 appended to the name of the entity in census publications and related

 data products.

40 Plantation - minor civil division (MCD) in Maine; no status is appended

 to the name of the entity in census publications and related data

 products.

41 Barrio-pueblo - minor civil division (MCD) in Puerto Rico; "barrio-

 pueblo" is appended to the name of the entity in census publications

 and related data products.

42 Purchase - minor civil division (MCD) in New Hampshire; "purchase" is

 appended to the name of the entity in census publications and related

 data products.

43 Town - minor civil division (MCD) in 8 States; MCD equivalent in New

 Jersey, Pennsylvania, and South Dakota; "town" is appended to the name

 of the entity in census publications and related data products.

44 Township - minor civil division (MCD) in 16 States; "township" is

 appended to the name of the entity in census publications and related

 data products.

45 Township - minor civil division (MCD) in Kansas, Nebraska, and North

 Carolina; no status is appended to the name of the entity in census

 publications and related data products.

46 Unorganized territory - minor civil division (MCD) in 9 States;

 "unorg." is appended to the name of the entity in census publications

 and related data products.

47 Village - minor civil division (MCD) equivalent in New Jersey, Ohio,

 South Dakota, and Wisconsin; "village" is appended to the name of the

 entity in census publications and related data products.

51 Subbarrio - sub-minor civil division (sub-MCD) in Puerto Rico;

 "subbarrio" is appended to the name of the entity in census 

 publications and related data products.

55 Comunidad - place (census designated place) in Puerto Rico; "comunidad"

 is appended to the name of the entity in census publications and

 related data products.

56 Borough - place in Connecticut, New Jersey, and Pennsylvania; "borough"

 is appended to the name of the entity in census publications and

 related data products.

57 Census designated place - place; "CDP" is appended to the name of the

 entity in census publications and related data products.
58 City - place; "city" is appended to the name of the entity in census

 publications and related data products.

59 City - place; used for some cities that have a unique description, no

 description, or a description included with their name, as follows: 

 Anaconda-Deer Lodge County (Montana): incorporated municipality; 

 Butte-Silver Bow (remainder) (Montana): (none); 

 Carson City, Nevada: (none); 

 Columbus city (remainder) (Georgia): (none); 

 Indianapolis city (remainder) (Indiana): (none); 

 Jacksonville city (remainder) (Florida): (none); 

 Lexington-Fayette (Kentucky): Urban County Government; 

 Lynchburg-Moore County (Tennessee): (none); 

 Milford city (remainder) (Connecticut): (none); 

 Nashville-Davidson (remainder) (Tennessee): "Metropolitan 

 Government of Nashville and Davidson County"; 

 No status is appended to the name of the entity in census publications 

 and related data products.

60 Town - place; place in 30 States and the Virgin Islands of the United 

 States; "town" is appended to the name of the entity in census

 publications and related data products.

61 Village - place; place in 19 States; "village" is appended to the name 

 of the entity in census publications and related data products.

62 Zona urbana - place (census designated place) in Puerto Rico; "zona

 urbana" is appended to the name of the entity in census publications

 and related data products.

65 Consolidated city in Connecticut, Florida, Georgia, and Indiana -

 "city" is appended to the name of the entity in census publications

 and related data products.

66 Consolidated city - used for some consolidated cities that have unique

 descriptions or no descriptions, as follows: 

 Butte-Silver Bow (Montana): (none); 

 Nashville-Davidson (Tennessee): "Metropolitan Government of 

 Nashville and Davidson County"; 

 No status is appended to the name of the entity in census publications 

 and related data products.

68 Census region - no status is appended to the name of the entity in 

 census publications and related data products.

69 Census division - no status is appended to the name of the entity in 

 census publications and related data products.

71 Consolidated metropolitan statistical area (CMSA) - "CMSA" is appended 

 to the name of the entity in census publications and related data

 products.

72 Metropolitan statistical area (MSA) - "MSA" is appended to the name of

 the entity in census publications and related data products.

73 Primary metropolitan statistical area (PMSA) - "PMSA" is appended to

 the name of the entity in census publications and related data

 products.

75 Urbanized area (UA) - no status is appended to the name of the entity

 in census publications and related data products.

77 Alaska Native Regional Corporation - no status is appended to the name

 of the entity in census publications and related data products.

79 Alaska Native village statistical area - no status is appended to the 

 name of the entity in census publications and related data products.
80 Tribal designated statistical area - American Indian reservation

 equivalent for non-land-based tribes outside of Oklahoma; "TDSA" is

 appended to the name of the entity in census publications and related

 data products.

81 Colony - American Indian reservation; "Colony" is appended to the name

 of the entity in census publications and related data products.

82 Community - American Indian reservation; "Community" is appended to the

 name of the entity in census publications and related data products.

83 Joint area - American Indian reservation equivalent; "joint area" is 

 appended to the name of the entity in census publications and related

 data products.

84 Pueblo - American Indian reservation; "Pueblo" is appended to the name

 of the entity in census publications and related data products.

85 Rancheria - American Indian reservation; "Rancheria" is appended to the

 name of the entity in census publications and related data products.

86 Reservation - American Indian reservation; "Reservation" is appended to

 the name of the entity in census publications and related data 

 products.

87 Reserve - American Indian reservation; "Reserve" is appended to the

 name of the entity in census publications and related data products.

88 Tribal jurisdiction statistical area - American Indian reservation

 equivalent representing historic tribal areas in Oklahoma; "TJSA" is

 appended to the name of the entity in census publications and related

 data products.

89 Trust lands - American Indian reservation equivalent; no status is

 appended to the name of the entity in census publications and related

 data products.

90 (none) - American Indian reservation; no status is appended to the name

 of the entity in census publications and related data products.

---------------------------------------------------------------------------

Population Count (100%)(18) POP100 9 291 A/N

Special Flag SPFLAG 1 300 A/N

---------------------------------------------------------------------------

FOOTNOTES

1. A unique identifier for each file series. Dress rehearsal files have 

 a "D" in the character following the last character in the file 

 identification code for the equivalent 1990 decennial census file; for 

 example, PL94171D is the identifier for the dress rehearsal file for 

 the P.L. 94-171 data. File identification code for the P.L. 94-171

 file is PL94171. File identification codes for summary tape files are

 STFnn where nn = file number; for example, STF1A is the identification

 for Summary Tape File 1A. File identification codes for subject

 summary tape files are SSTFnn where nn = the number of the subject

 report. File identification codes for special project files are 

 identified by SPmmm where mmm = a three digit special project number.

 See How to Use This File for further information.

2. Identifies the geographic level for which the data matrices on the 

 summary tape file have been summarized. The summary level sequence 

 chart describes the hierarchical arrangement of the specified 

 geographic areas with other geographic areas, if any. The summary 

 level must be used in combination with the geographic area codes to 

 identify a specific geographic area (for example, summary level 050 and 
 a specific county code must be used together to locate the data for a 

 particular county). See How to Use This File for further information.

3. Indicates an iteration (repetition), for the specified summary level, 

 of the data matrices on the summary tape file for the geographic 

 components listed in the Geographic Component field. See How To Use 

 This File for further information.

4. Indicates an iteration (repetition), for the specified summary level, 

 of the data matrices on the summary tape file for a population or 

 housing characteristic. Only matrices containing a "B" in the prefix 

 have characteristic iterations. See How to Use This File for further 

 information.

5. The logical record is the complete record [identification and set of 

 tables (matrices)] for a geographic entity defined by the summary 

 level, but exclusive of the characteristic iteration. A logical record 

 may have one or more parts (or segments). Each logical record has an 

 assigned sequential integer number within the file. See How to Use 

 This File for further information.

6. Within the logical record, each part is identified uniquely in terms of 

 its sequence. See How to Use This File for further information.

7. This field identifies how many parts (or segments) comprise the entire 

 logical record. See How to Use This File for further information.

8. See appendix A, Area Classifications, for definition of this field if 

 it is applicable to this file.

9. See the publication, Geographic Identification Code Scheme, for codes 

 in this field and related terminology if it is applicable to this file. 

 See appendix A, Area Classifications, for definition of this field if 

 it is applicable to this file.

10. See the publication, Geographic Identification Code Scheme, for FIPS 55 

 codes in this field and related terminology if it is applicable to this 

 file. See appendix A, Area Classifications, for definition of this 

 field if it is applicable to this file.

11. Codes in unspecified arrangement for Census Bureau use.

12. Land area measurement in thousandths (.001) of a square kilometer. The 

 accuracy of the area measurement is limited by the inaccuracy inherent 

 in 1) the mapping of the various boundary features in the TIGER File 

 and 2) rounding affecting the last digit in all operations that compute 

 and/or sum the area measurements. Land area includes intermittent 

 water and glaciers, which appear on census maps and in the TIGER File 

 as hydrographic features. An area of .0005 square kilometer is rounded 

 to .001; an area smaller than .0005 is rounded to .000. The decimal 

 point is implied on the file. Square miles can be derived by dividing 

 square kilometers by 2.59. See appendix A, Area Classifications, for 

 definition of this field if it is applicable to this file.

13. Water area measurement in thousandths (.001) of a square kilometer. 

 Water area is excluded from census blocks by definition, so the water 

 area for a block always will be zero. The accuracy of the area 
 measurement is limited by the inaccuracy inherent in 1) the mapping of 

 the various boundary features in the TIGER File and 2) rounding 

 affecting the last digit in all operations that compute and/or sum the 

 area measurements. Water area excludes intermittent water and 

 glaciers, which are treated as land even though they appear on census 

 maps and in the TIGER File as hydrographic features. An area of .0005 

 square kilometer is rounded to .001; an area smaller than .0005 is 

 rounded to .000. The decimal point is implied on the file. Square 

 miles can be derived by dividing square kilometers by 2.59. See 

 appendix A, Area Classifications, for definition of this field if it is 

 applicable to this file.

14. Name of the lowest-level entity represented by the summary level. In 

 addition to the name of the entity, the name field contains the 

 political/statistical area description (PSAD) when appropriate, and 

 sometimes contains the State abbreviation.

 For legal entities, the name is the one reported to the Bureau of the 

 Census in the Boundary and Annexation Survey and by other appropriate 

 sources; for statistical entities, the name is determined by the Office 

 of Management and Budget for metropolitan areas and, for other areas, 

 the name is determined by the Bureau of the Census, usually in 

 cooperation with local officials.

 When the summary level represents only part of the area specified in 

 the name, the name usually will have "(pt.)" appended to the name/code 

 terminology to designate that this entry for the entity represents only 

 a part of the total entity.

15. The total number of housing units enumerated in the specified summary 

 level as determined in the 100-percent processing.

16. Latitude in degrees, to six decimal places, of a point within the 

 geographic area represented by the summary level. The decimal point is 

 implied on the file. The character immediately preceding the first 

 digit of the latitude of an internal point identifies the direction 

 (hemisphere): a plus sign (+) indicates the Northern Hemisphere; a 

 minus sign (-) indicates the Southern Hemisphere. See appendix A, Area 

 Classifications, for definition of this field if it is applicable to 

 this file.

17. Longitude in degrees, to six decimal places, of a point with the 

 geographic area represented by the summary level. The decimal point is 

 implied on the file. The character immediately preceding the first 

 digit of the longitude of an internal point identifies the direction 

 (hemisphere): a plus sign (+) indicates the Eastern Hemisphere; a 

 minus sign (-) indicates the Western Hemisphere. A point on the 180th 

 meridian is assigned to the Western Hemisphere (-180000000). See 

 appendix A, Area Classifications, for definition of this field if it is 

 applicable to this file.

18. The total number of persons enumerated in the specified summary level 

 as determined in the 100-percent processing.
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 StatesA-9 

Palau (See Outlying Areas of the United States, see State) 

Parish (Louisiana) (See County) 

Parish Governing Authority District (See County Subdivision) 

PlaceA-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\R 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 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 State-recognized 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 State-recognized 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. 

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 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

 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 machine-readable 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. 

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. 

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/

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 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. 

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.

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 general-purpose 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 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: 

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).

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, 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\R 

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.
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 (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 

 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.

The Census Bureau coded the responses through an automated review,

edit, and coding operation. The open-ended 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 ("Scotch-Irish") 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 "GermanBavarian," 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. 

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 triple-ancestry 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 native-born 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 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: 
 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-towork 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, 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) 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, pre- release 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, long-term 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. 

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 long-term 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 short-term 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 community-based 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 community-based 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

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-Street-Night" 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 "Shelter-and-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. 

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": 

 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.)

 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-andStreet-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:

How well enumerators were trained and how well they followed

procedures.
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.

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.

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.

The media occasionally interfered with the ability to do the count.

How homeless people perceived the census and whether they wanted to

be counted or feared the census and hid from it.

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 census- takers 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-Street-Night" 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

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 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 mother-child 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. Brothersin-law and sisters-in-law 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. 

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 "married-couple 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 one-parent families or oneparent 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

"unmarried- partner 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 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: 

 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,

 piece-rate payments, and cash bonuses earned before deductions were made

 for taxes, bonds, pensions, union dues, etc. 

 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. 

 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. 

 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. 

 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. 

 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. 

 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. 

 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. 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 self-employment 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

 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 self-employment 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 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 235 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 500 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-in-kind, or piece rates for a private for

 profit employer or a 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 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-for-profit," 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 place-of-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; Honolulu, Hawaii; and

certain other MA's, some place-of-work 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 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 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 Twenty-Five-Group Examples

Classification Classification

---------------------------------------------------------------------------

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

---------------------------------------------------------------------------

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. 

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. 

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.

---------------------------------------------------------------------------

 Table A. Poverty Thresholds in 1989 by Size of Family and Number

 of Related Children Under 18 Years

 Weight Related children under 18 years

Size of average Eight

Family Unit thresholds None One Two Three Four Five Six Seven or more

---------------------------------------------------------------------------

One person

 (unrelated

 individual) $6,310

 Under 65 yrs. 6 451 $6,451

 65 yrs. &

 over 5,947 5,947

Two persons 8,076

 Householder

 under 65 yrs. 8,343 8,303 $8,547

 Householder

 65 yrs. & 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

---------------------------------------------------------------------------

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 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 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. 
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.

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 Islander(1)

Korean Carolinian 

Vietnamese Fijian 

Cambodian Kosraean 

Hmong Melanesian(3)

Laotian Micronesian(3)

Thai Northern Mariana Islander

Other Asian(1) Palauan 

 Bangladeshi Papua New Guinean

 Bhutanese Ponapean (Pohnpeian)
 Borneo Polynesian(3)

 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 specified(2)

---------------------------------------------------------------------------

(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 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 question

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

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. 

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 postsecondary 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 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

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." 
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.) 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 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.

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 renter-occupied 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 renter-occupied 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

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. 

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 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-for-rent 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, 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

one-family 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 year-round 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 two-persons 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. 

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. 

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. 
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 owner-occupied 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 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. 

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 renteroccupied 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 owner-occupied or vacantfor-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-forsale-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 one-family 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

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-structure- built

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 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.
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

ACCURACY OF THE DATA C–1
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.

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

estimated totals that are close to the size of the tabulation

C–2 ACCURACY OF THE DATA
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:

SE X

ˆ and SE Yˆ of estimates Xˆ and Yˆ :

SE~X

ˆ

1Y

ˆ

! 5 SE~X

ˆ

2Y

ˆ

! 5=~SEX

ˆ )

2

1~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~X

ˆ

/Y

ˆ

! 5 X

ˆ

Y

ˆÎ~SEX

ˆ !

2

X

ˆ 2 1

~SEY

ˆ !

2

Y

ˆ 2

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;

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.

ACCURACY OF THE DATA C–3
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 =5~9,948! ~129,948/21,220!

= 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 2 1.645~179!] to [9,948 1 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 percentage

points. We find that City B had a percent-in-sample of 15.7.

The range which includes 15.7 percent-in-sample 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.

C–4 ACCURACY OF THE DATA
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! 5=~SE~62.6!!21~SE~55.9!!25=~0.94!

2

1~0.95!

2

= 1.34 percentage points

The 90 percent confidence interval for the difference is

formed as before:

[6.70 2 1.645~1.34!] to [6.70 1 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 5 1.07

SE ~1.07! 5 (

9948

9314)Î 1792

~9948!

2 1

1882

~9314!

2

= .029

Using the results above, the 90 percent confidence

interval for this ratio would be:

[1.0721.645~.029!] to [1.0711.645~.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

ACCURACY OF THE DATA C–5
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-in-structure

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

C–6 ACCURACY OF THE DATA
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.

ACCURACY OF THE DATA C–7
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.

x 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.

x 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.

x 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

C–8 ACCURACY OF THE DATA
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
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~Y

ˆ ! 5 Î5Yˆ S1 2

Y

ˆ

N D

N 5 Size of area

Y

ˆ 5 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~p

ˆ!5Î 5

Bp

ˆ

~1002p

ˆ!

B 5 Base of estimated percentage

p

ˆ 5 Estimated percentage

C–10 ACCURACY OF THE DATA
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. 

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:

The port where the ship was docked on Census Day, if that port was

in the United States or its territories.

The port of departure if the ship was at sea, provided the port was

in the United States or its territories.

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.
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: 

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.
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 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: 

Emergency shelters for the homeless population (public and private;

permanent and temporary). 

Shelters with temporary lodging for runaway youths. 

Shelters for abused women and their children. 

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: 

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). 

Hotels and motels used to house homeless persons and families. 

A list of outdoor locations where homeless persons tend to be at

night. 

Places such as bus or train stations, subway stations, airports,

hospital emergency rooms, and so forth, where homeless persons seek

shelter at night.

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 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.
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.) 

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 housing-unit record includes essentially all the 1990

census data collected about each person in a sample household and the 

haracteristics 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

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 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. 

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 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).

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.

Figure 2. 1990 Census Printed Reports

 1990 CENSUS OF POPULATION AND HOUSING (1990 CPH)

 100-Percent Data

Series: 1990 CPH-1

Title: Summary Population and Housing Characteristics

Report(s)

 issued for: U.S., States, DC, Puerto Rico, and U.S. Virgin Islands 

Description 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

Geographic areas: Local governmental units (i.e., counties, places, 

 and towns and townships), other county subdivisions, 

 and American Indian and Alaska Native areas 

Series: 1990 CPH-2

Title: Population and Housing Unit Counts

Report(s)

 issued for: U.S., States, DC, Puerto Rico, and U.S. Virgin Islands

Description: Total population and housing unit counts for 1990 

 and previous censuses 

Geographic areas: 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

Series: 1990 CPH-3 

Title: Population and Housing Characteristics for Census 

 Tracts and Block Numbering Areas

Report(s)

 issued for: MA's, and the nonmetropolitan balance of each State, 

 Puerto Rico, and U.S. Virgin Islands 

Description: Statistics on 100-percent and sample population and 

 housing subjects 

Geographic areas: 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
Series 1990 CPH-4

Title Population and Housing Characteristics for

 Congressional Districts of the 103rd Congress

Report(s)

 issued for: States and DC 

Description: Statistics on 100-percent and sample population

 and housing subjects 

Geographic areas 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

Series: 1990 CPH-5

Title: Summary Social, Economic, and Housing Characteristics

Report(s)

 issued for: U.S., States, DC, Puerto Rico, and U.S. Virgin Islands

Description: Statistics generally on sample population and housing 

 subjects 

Geographic areas: 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

Series: 1990 CP-1

Title: General Population Characteristics

Report(s)

 issued for U.S., States, DC, Puerto Rico, and U.S. Virgin Islands

Description: Detailed statistics on age, sex, race, Hispanic origin, 

 marital status, and household relationship 

 characteristics 

Geographic areas: 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

Series: 1990 CP-1-1A

Title General Population Characteristics for

 American Indian and Alaska Native Areas
Report(s)

 issued for U.S. 

Description: Detailed statistics on age, sex, race, Hispanic origin,

 marital status, and household relationship 

 characteristics

Geographic areas: 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

Series: 1990 CP-1-1B

Title: General Population Characteristics for Metropolitan 

 Areas 

Report(s)

 issued for: U.S. 

Description: Detailed statistics on age, sex, race,

 Hispanic origin, marital status, and household 

 relationship characteristics

Geographic areas: Individual MA's. For MA's split by State boundaries, 

 summaries are provided both for the parts and for the 

 whole MA

Series: 1990 CP-1-1C

Title: General Population Characteristics for Urbanized Areas

Report(s)

 issued for: U.S.

Description: Detailed statistics on age, sex, race, Hispanic origin, 

 marital status, and household relationship 

 characteristics

Geographic areas: Individual UA's. For UA\`s split by State boundaries, 

 summaries are provided both for the parts and for the 

 whole UA

---------------------------------------------------------------------------

 Sample Data

Series: 1990 CP-2

Title: Social and Economic Characteristics

Report(s)

 issued for: U.S., States, DC, Puerto Rico, and U.S. Virgin Islands

Description: Statistics generally on sample population subjects

Geographic areas: 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

Series: 1990 CP-2-1A

Title: Social and Economic Characteristics for

 American Indian and Alaska Native Areas

Report(s)

 issued for: U.S.

Description: Statistics generally on sample population subjects

Geographic areas: American Indian and Alaska Native areas, as for CP-1-1A

Series: 1990 CP-2-1B

Title: Social and Economic Characteristics for Metropolitan 

 Areas

Report(s)

 issued for: U.S.

Description: Statistics generally on sample population subjects

Geographic areas: Individual MA's, as for CP-1-1B

Series: 1990 CP-2-1C

Title: Social and Economic Characteristics for Urbanized Areas

Report(s)

 issued for: U.S.

Description: Statistics generally on sample population subjects

Geographic areas: Individual UA's, as for CP-1-1C

Series: 1990 CP-3

Title: Population Subject Reports

Report(s)

 issued for: Selected subjects

Description: Approximately 30 reports on population census subjects 

 such as migration, education, income, the older 

 population, and racial and ethnic groups

Geographic areas: 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

--------------------------------------------------------------------------
 1990 CENSUS OF HOUSING (1990 CH)

 100-Percent Data

Series: 1990 CH-1

Title: General Housing Characteristics

Report(s)

 issued for: U.S., States, DC, Puerto Rico, and U.S. Virgin Islands 

Description: Detailed statistics on units in structure, value and 

 rent, number of rooms, tenure, and vacancy 

 characteristics 

Geographic areas: 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

Series: 1990 CH-1-1A

Title: General Housing Characteristics for American

 Indian and Alaska Native Areas

Report(s)

 Issued for: U.S.

Description: Detailed statistics on units in structure, value and 

 rent, number of rooms, tenure, and vacancy 

 characteristics

Geographic areas: 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

Series: 1990 CH-1-1B

Title: General Housing Characteristics for Metropolitan Areas

Report(s)

 issued for: U.S.

Description: Detailed statistics on units in structure, value and 

 rent, number of rooms, tenure, and vacancy 

 characteristics

Geographic areas: Individual MA's. For MA's split by State boundaries, 

 summaries are provided both for the parts and for the 

 whole MA

Series: 1990 CH-1-1C

Title: General Housing Characteristics for Urbanized Areas

Report(s)

 issued for: U.S.
Description: Detailed statistics on units in structure, value and 

 rent, number of rooms, tenure, and vacancy 

 characteristics

Geographic areas: Individual UA's. For UA's split by State boundaries, 

 summaries are provided both for the parts and for the 

 whole UA

---------------------------------------------------------------------------

 Sample Data

Series: 1990 CH-2

Title: Detailed Housing Characteristics

Report(s)

 issued for: U.S., States, DC, Puerto Rico, and U.S. Virgin Islands

Description: Statistics generally on sample housing subjects

Geographic areas: 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 

Series: 1990 CH-2-1A

Title: Detailed Housing Characteristics for American

 Indian and Alaska Native Areas

Report(s)

 issued for: U.S.

Description: Statistics generally on sample housing subjects

Geographic areas: American Indian and Alaska Native areas, as in 1990

 CH-1-1A

Series: 1990 CH-2-1B

Title: Detailed Housing Characteristics for Metropolitan Areas

Report(s)

 issued for: U.S.

Description: Statistics generally on sample housing subjects

Geographic areas: Individual MA's, as in 1990 CH-1-1B

Series: 1990 CH-2-1C

Title: Detailed Housing Characteristics for Urbanized Areas

Report(s)

 issued for: U.S.

Description: Statistics generally on sample housing subjects

Geographic areas: Individual UA's, as in 1990 CH-1-1C
Series: 1990 CH-3

Title: Housing Subject Reports

Report(s)

 issued for: Selected subjects 

Description: Approximately 10 reports on housing census

 subjects such as structural characteristics and space 

 utilization 

Geographic areas: Generally limited to U.S., regions, and divisions; for 

 some reports, other highly populated areas such as 

 States, MA's, counties, and large places

---------------------------------------------------------------------------

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

 A(2,3) 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

 B(2,3 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 C(3) U.S., regions, divisions, States Over 900 cells/

(100 percent) (including summaries such as items of 100-

 urban and rural), counties, percent population

 places of 10,000 or more inhabitants, and housing counts

 county subdivisions of 10,000 or and characteristics

 or more inhabitants in selected for each geographic

 States, metropolitan areas (MA's), area

 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

STF 2 B States (including summaries Over 2,100 cells/

(100 percent) such as urban and rural), items of 100-percent 

 counties, places of 1,000 population and hous-

 or more inhabitants, county ing counts and char-

 subdivisions, State parts acteristics for each

 of American Indian areas, geographic area. 

 and Alaska Native areas Each of the STF 2

 files will include 

 C U.S., regions, divisions, a set of tabulations

 States (including summaries for the total popu-

 such as urban and rural), lation and separate 

 counties, places of 10,000 or presentations of 

 more inhabitants, county tabulations by race

 subdivisions of 10,000 or and Hispanic origin 

 more inhabitants in selected 

 States, all county subdivisions 

 in New England MA's, American

 Indian and Alaska Native areas, 

 MA's, UA's

 A(2,3) States, counties, county 

 subdivisions, places, census 

 tracts/BNA's, BG's. Also Alaska 

 Native areas and State parts of 

 American Indian areas

 B(3) Five-digit ZIP Codes within each Over 3,300 cells/

 State items of sample 

 population and housSTF 3 C(3) U.S., regions, divisions, States, ing characteristics 

(Sample) counties, places of 10,000 or more for each geographic 

 inhabitants, county subdivisions area

 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

---------------------------------------------------------------------------

 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
STF 4 B State (including summaries Over 8,500 cells/

(Sample) such as urban and rural), items of sample

 counties, places of 2,500 or population and hous-

 more inhabitants, county sub- ing characteristics 

 divisions of 2,500 or more for each geographic 

 inhabitants in selected States, area. Each of the

 all county subdivisions in New STF 4 files will 

 England MA's, State parts of include a set of 

 American Indian areas, and Alaska tabulations for the 

 Native areas total population and

 separate present-

 C U.S., regions, divisions, States ations of tabu-

 (including urban and rural and lations by race and

 metropolitan and nonmetropolitan Hispanic origin.

 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.

--------------------------------------------------------------------------

Figure 4. Other 1990 Census Data Products

Title: Subject Summary

 Tape Files

Description: 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

Geographic areas: U.S., regions, divisions, States, metropolitan areas 

 (MA's), and large counties and places

----------------------------------

Title: Public Law 94-171

 Data File (redistricting data) 

Description: 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 
Geographic areas: 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

----------------------------------

Title: Census/Equal Employment Opportunity

 (EEO) Special File 

Description: Sample tabulations showing detailed occupations

 and educational attainment data by age; cross tabulated 

 by sex, Hispanic origin, and race

Geographic areas: Counties, MA's, places of 50,000 or more inhabitants

-----------------------------------

Title: County-to-County Migration File

Description: Summary statistics for all intra-state county-to-

 county 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

Geographic areas: States, counties 

------------------------------------

Title: Public Use Microdata Sample (PUMS) Files

Description: Machine-readable files containing a sample of individual 

 long-form census records showing most population and 

 housing characteristics but with identifying information 

 removed 

Title: 5 Percent--PUMS Areas 

Geographic areas: County groups, counties, county subdivisions, and places 

 with 100,000 or more inhabitants 

Title: 1 Percent--Metropolitan Areas (1990)

 

Geographic areas: MA's and other large areas with 100,000 or more 

 inhabitants 

-----------------------------------

Title: User-Defined Areas Tabulations

Description: A set of standard tabulations provided on printouts, 

 tapes, or other products with maps and narrative (if 

 requested) 
Geographic areas: User-defined areas created by aggregating census blocks

------------------------------------

Title: Special Tabulations

Description: User-defined tabulations for specified geographic areas 

 provided on printouts, tapes, or other products

Geographic areas: User-defined areas or standard areas
APPENDIX G.

Maps

CONTENTS

Census Tract/Block Numbering Area Outline Map Sample G--4

County Block Map Sample G--3

County Subdivision Map Sample G--5

Legend G--2

Map Descriptions G--1

Terminology G--1

There are three map series that relate to the geographic entities for which

the Census Bureau provides statistics in the STF 3 CD-ROM files. Copies of

these maps will be reproduced on electrostatic plotters in response to

orders received by Customer Services, Data User Services Division, Bureau

of the Census, Washington, DC 20233 (301) 763-4100.

MAP DESCRIPTIONS

County Block Maps--These maps depict each county on one or more map sheets

at various scales, depending on the county's areal size and the density of

the block pattern. (Most counties include multiple map sheets, including

inset maps for densely settled areas.) The maps display block numbers and

feature identifiers as well as the boundaries, names, and codes for the legal and statistical entities in the county. Each county includes an index

map sheet that shows the locations of the map sheets comprising the county

set.

Census Tract/Block Numbering Area Outline

Maps--These county-based maps depict the boundaries and codes of census

tracts or block numbering areas, the features and feature names underlying

the boundaries, and the boundaries and names of counties, county

subdivisions, places, and American Indian/Alaska Native areas. Map scales

vary to minimize the number of sheets. The maps may include one or more

insets for densely settled areas. (The Census Bureau also intends to

produce printed versions of these maps, for sale by the Government Printing

Office (GPO), starting in 1992.)

County Subdivision Maps--These State-based maps depict the boundaries and

names of all counties and statistically equivalent areas, county

subdivisions, and places. (The Census Bureau also will publish 

sectionalized versions of these maps in most 1990 census reports.)

TERMINOLOGY

Refer to appendix A for an explanation of the types of areas. Two terms

used in the legend require explanation:

Asterisk(*)--A symbol following a block number to indicate the block number

is repeated elsewhere in the block or is shown partially on an adjacent map

sheet or on an inset map.
Fishhook( )--A map symbol drawn across a physical feature (creek,

brook, etc.) or boundary on census maps to show that the areas on both

sides of the feature or boundary belong to the same census block.
APPENDIX H.

Code Lists

CONTENTS

Ancestry H--1

Group Quarters H--17

Hispanic Origin H--22

Industry H--24

Language H--30

Occupation H--37

Place of Birth H--50

Race H--54

ANCESTRY

This section contains the code list for ancestry categories. Each person 

enumerated in the census had the opportunity to enter two distinct ancestry 

identities which indicated his or her ethnic origin. Each entry received one 

of the unique three-digit codes listed below. All codes are listed below. 

However, not all ancestry entries are listed. The ancestry codes can be 

aggregated to create commonly recognized national groupings. For example, the 

code for Walloon can be collapsed with other "Belgian" entries to form a na

tional grouping representative of an area in Europe. National groupings can 

also be collapsed to represent continental areas. For example, Belgium can be 

added to France and other European clusters to form a representation of that 

continent. "n.e.c." is the abbreviation for not elsewhere classified.

000-099 WESTERN EUROPE (EXCEPT SPAIN)

000-001 ALSATIAN

000-001 Alsace Lorraine

002 ANDORRAN

002 Andorra

003-004 AUSTRIAN

003 AUSTRIAN

003 Austria

004 TIROL

004 Tirol

005-007 BASQUE

005 BASQUE

005 Euskalduna

005 Euzkadi

006 FRENCH BASQUE

007 SPANISH BASQUE

007 Vasco

008-010 BELGIAN

008 BELGIAN

008 Belgium

009 FLEMISH

009 Flanders

009 Fleming

009 Vlamand

010 WALLOON
011-014 BRITISH

011 BRITISH

011 Great Britain

011 United Kingdom

012 BRITISH ISLES

013 CHANNEL ISLANDER

013 Guernsey Islander

013 Jersey Islander

014 GIBRALTAR

015 CORNISH

015 Cornwall

016 CORSICAN

016 Corsica

017-019 CYPRIOT

017 CYPRIOT

017 Cyprus

018 GREEK CYPRIOTE

019 TURKISH CYPRIOTE

020 DANISH

020 Denmark

021 DUTCH

021 Holland

021 Netherlands

022 ENGLISH

022 Anglican

022 England

022 Mayflower

023 FAEROE ISLANDER

023 Faeroe Islands

024-025 FINNISH

024 FINNISH

024 Finland

025 KARELIAN

026-027 FRENCH

026 FRENCH

026 France

026 Gascon

026 Hugenot

026 Normandy

027 LORRAINE

028 BRETON

028 Breizh

028 Bretagne

028 Brittany

029 FRISIAN

029 Friesian Islands
030-031 FRIULIAN

030 FRIULIAN

030 Friuli

030 Furlan

031 LADIN

032-045 GERMAN

032 GERMAN

032 Germany

033 BAVARIA

034 BERLIN

035 HAMBURG

036 HANNOVER

037 HESSIAN

038 LUBECKER

039 POMERANIAN

040 PRUSSIAN

041 SAXON

042 SUDETENLANDER

043 WESTPHALIAN

044 EAST GERMAN

045 WEST GERMAN

045 Palatinate

045 Rhineland

046-048 GREEK

046 GREEK

046 Greece

047 CRETAN

048 CYCLADES

048 Dodecanese Islander

048 Peloponnesian

049 ICELANDER

049 Iceland

050 IRISH

050 Black Irish

050 Clare

050 Cork

050 Donegal

050 Dubliner

050 Eire

050 Galway

050 Ireland

050 Irish Free State

050 Kerry

050 Kildare

050 Kilkenny

050 Laoighis

050 Leitrim

050 Leix

050 Limerick

050 Longford

050 Louth

050 Mayo

050 Meath

050 Monaghan
050 Offaly

050 Roscommon

050 Sligo

050 Tipperary

050 Waterford

050 Westmeath

050 Wexford

050 Wicklow

051-074 ITALIAN

051 ITALIAN

051 Istria

051 Italy

052 TRIESTE

053 ABRUZZI

054 APULIAN

054 Apulia

055 BASILICATA

055 Lucania

056 CALABRIAN

057 AMALFIN

057 Campania

058 EMILIA ROMAGNA

059 ROME

059 Lazio

059 Vatican City

060 LIGURIAN

061 LOMBARDIAN

062 MARCHE

063 MOLISE

064 NEAPOLITAN

065 PIEDMONTESE

066 PUGLIA

067 SARDINIAN

068 SICILIAN

068 Sicily

069 TOSCANA

069 Tuscany

070 TRENTINO

071 UMBRIAN

072 VALLE DAOST

073 VENETIAN

073 Venezia Giulia

074 SAN MARINO

075 LAPP

075 Lapland

075 Samelat

076 LIECHTENSTEINER

076 Liechtenstein

077 LUXEMBURGER

077 Luxemburg
078 MALTESE

078 Gozo

078 Malta

079 MANX

079 Isle of Man

080 MONEGASQUE

080 Monaco

081 NORTH IRISH

081 Antrim

081 Armagh

081 Derry

081 Down

081 Fermanagh

081 Londonderry

081 Northern Ireland

081 Orangeman

081 Tyrone

081 Ulster

082 NORWEGIAN

082 Jan Meyen Islander

082 Norway

082 Spitsbergen

082 Svalbard Islander

083 OCCITAN

083 Provence

084-086 PORTUGUESE

084 PORTUGUESE

084 Lusitania

084 Luso

084 Portugal

085 AZORES ISLANDER

086 MADEIRA ISLANDER

087 SCOTCH-IRISH

087 Scot-Irish

088 SCOTTISH

088 Orkney Islander

088 Pict

088 Scot

088 Scotland

088 Shetland Islander

089-090 SWEDISH

089 SWEDISH

089 Sweden

090 ALAND ISLANDER

091-096 SWISS

091 SWISS

091 Switzerland
092 SUISSE

093 SWITZER

093-094 Schweiz

095 ROMANSCH

096 SUISSE ROMANE

096 Ticino

097 WELSH

097 Wales

098 SCANDINAVIAN

098 Nordic

098 Scandinavia

099 CELTIC

099 Celtic

100-180 EASTERN EUROPE AND SOVIET UNION

100 ALBANIAN

100 Albania

100 Arberesh

100 Gheg

100 Italo Albanian

100 Kossovo

100 Tosc

101 AZERBAIJANI

101 Adjerbaijani

101 Azerbaidzhan

101 Azeri

102 BELORUSSIAN

102 Byelorussian

103 BULGARIAN

103 Bulgaria

103 Bulgaro Macedonian

103 Eastern Rumelian

104-105 CARPATHO RUSYN

104 CARPATHO RUSYN

104 Carpatho Rus

104 Carpatho Russian

104 Carpatho Ruthenian

105 CARPATHIAN

106 RUSYN

106 Rus

106 Rusin

106 Rusnak

107 RUTHENIAN

107 Ruthenia

108 COSSACK

108 Don Cossack

108 Orenburg Cossack
108 Terek Cossack

108 Ural Cossack

109-110 CROATIAN

109 Croatia

109 Dalmatian

109-110 Zadar

111-113 CZECH

111 CZECH

112 BOHEMIAN

113 MORAVIAN

114 CZECHOSLOVAKIAN

114 Czechoslovakia

114 Tczechoslovakia

115-116 ESTONIAN

115 ESTONIAN

115 Estonia

116 LIVONIAN

117-119 FINNO UGRIAN

117 FINNO UGRIAN

117 Komi

117 Mari

117 Udmurt

118 MORDOVIAN

119 VOYTAK

120-121 GRUZIIA

120-121 Gruzinets

122-123 GERMAN FROM RUSSIA

122 GERMAN FROM RUSSIA

123 VOLGA

123 Black Sea German

123 Volhynian German

124 ROM

124 Boyash

124 Cali

124 Dom

124 Gitanos

124 Gypsy

124 Kalderash

124 Luri

124 Manouche

124 Nat

124 Romnichal

124 Senti

124 Xoraxaya

125-126 HUNGARIAN

125 HUNGARIAN

125 Hungary

125 Szekler
126 MAGYAR

127 KALMYK

127 Kalmuck

128 LATVIAN

128 Latvia

128 Lettish

129 LITHUANIAN

129 Jmoud

129 Lithuania

130 MACEDONIAN

130 Macedonia

130 Slavophone

131 MONTENEGRIN

131 Orna Gora

132-141 NORTH CAUCASIAN

132 NORTH CAUCASIAN

132 Abkhazian

132 Adyge

132 Avar

132 Caucasus Mountains

132 Chechen

132 Daghestan

132 Darghinian

132 Gortsy

132 Ingush

132 Kabardinian

132 Lezghian

132 Tavlintsy

133 NORTH CAUCASIAN TURKIC

133 Adzharian

133 Balkar

133 Cherkess

133 Circassian

133 Karachay

133-139 Kumyk

140-141 OSSETIAN

142-143 POLISH

142 POLISH

142 Gorali

142 Masurian

142 Poland

142 Polonia

142 Polska

143 KASHUBIAN

144-147 ROMANIAN

144 ROMANIAN

144 Romania

144 Transylvania

145 BESSARABIAN
145 Dobruja

146 MOLDAVIAN

147 WALLACHIAN

147 Vlach

148-151 RUSSIAN

148 RUSSIAN

148 Black Russian

148 Great Russian

148 Red Russian

148 Rossiya

148-149 Russia

150-151 MUSCOVITE

152 SERBIAN

152 Serb

153 SLOVAK

153 Slovakian

153 Slovjak

154-155 SLOVENE

154 SLOVENE

154 Slovenc

154 Slovenian

154 Slovenski

155 SORBIAN/WEND

155 Lusatian Serb

155 Sorb

155 Wend

155 Wendish

156-163 SOVIET TURKIC

156 SOVIET TURKIC

156 Soviet Turk

157 BASHKIR

158 CHUVASH

159 GAGAUZ

160 MESKNETIAN

161-162 TUVINIAN

163 YAKUT

164 SOVIET UNION

164 Union of Soviet Socialist Republics

165-167 TATAR

165 TATAR

165 Crimean Tatar

165 Kazan Tatar

165 Nogay Tatar

165 Polish Tatar

165-166 Volga Tatar

167 SOVIET CENTRAL ASIA

167 Kurile Islander

167 Sakhalin Islander

167 Siberian
168-170 TURKESTANI

168 TURKESTANI

168 Karakalpak

168 Kazak

168 Kirghiz

168 Tadzhik

168 Turcoman

168 Turkestani

168 Turkmen

168 Turkoman

168 Uiger

169-170 UZBEG

171-174 UKRAINIAN

171 UKRANIAN

171 Little Russian

171 Malo Russian

171 Ukraine

172 LEMKO

172 Lemkian

173 BIOKO

174 HUSEL

175 WINDISH

175 Prekmurje

175 Windisch

176-177 YUGOSLAVIAN

176 YUGOSLAVIAN

176 Jugoslavia

177 HERZEGOVINIAN

177 Bosanci

177 Bosnian Muslim

177 Bosnjaci

178-180 SLAVIC

178 SLAVIC

178 Slav

179-180 SLAVONIAN

181-199 EUROPE, N.E.C.

181 EUROPE, N.E.C.

181 Central European

181-182 Middle European

183 NORTHERN EUROPEAN

183-184 North Europe

185 SOUTHERN EUROPEAN

185-186 South Europe

187 WESTERN EUROPEAN

187-189 West Europe

190 EASTERN EUROPEAN

190 Byzantine

190 East Europe

191-192 BUKOVINA

193-194 SILESIAN

195 EUROPEAN

196 GALICIAN

196-199 Galicia
200-299 HISPANIC CATEGORIES (INCLUDING SPAIN)

200-203 SPANIARD

200 SPANIARD

200 Espanola

200 Iberian

200 Spain

201 ANDALUSIAN

202 ASTURIAN

203 CASTILLIAN

204-209 CATALONIAN

204 CATALONIAN

204 Catalonia

205 BALEARIC ISLANDER

205 Mallorca

206 GALLEGO

207 VALENCIAN

208-209 CANARY ISLANDER

210-218 MEXICAN

210 MEXICAN

211 MEXICAN AMERICAN

212 MEXICANO

213 CHICANO

214-217 LA RAZA

218 MEXICAN STATE

218 Aguascalientes

218 Baja California

218 Campeche

218 Chiapas

218 Chihuahua

218 Coahuila

218 Colima

218 Distrito Federal

218 Durango

218 Guanajuato

218 Guerrero

218 Hidalgo

218 Jalisco

218 Mexico

218 Michoacan

218 Morelos

218 Nayarit

218 Nuevo Leon

218 Oaxaca

218 Puebla

218 Queretaro

218 Quintana Roo

218 San Luis Potosi

218 Sinaloa

218 Sonora

218 Tabasco

218 Tamaulipas

218 Tlaxcala

218 Vera Cruz
218 Yucatan

218 Zacatecas

219-221 COSTA RICAN

219 Costa Rica

219-221 Costarricense

222 GUATEMALAN

222 Guatemala

223 HONDURAN

223 Honduras

224 NICARAGUAN

224 Nicaragua

225 PANAMANIAN

225 Panama

226 SALVADORAN

226 El Salvador

226 Salvadorian

227-228 CENTRAL AMERICAN

227-228 Central America

229-230 CANAL ZONE

231 ARGENTINEAN

231 Argentine

232 BOLIVIAN

232 Bolivia

233 CHILEAN

233 Chile

234 COLOMBIAN

234 Antiochio

234 Colombia

235 ECUADORIAN

235 Ecuador

235 Galapagos Islander

236 PARAGUAYAN

236 Paraguay

237 PERUVIAN

237 Peru

238 URUGUAYAN

238 Uruguay

239 VENEZUELAN

239 Venezuela
240-248 CRIOLLO

240-248 Criolla

249 SOUTH AMERICAN

249 America Del Sur

249 Sudamerica

250-260 LATIN AMERICAN

250 LATIN AMERICAN

250 America Latina

250 Latinoamericana

251 LATIN

252-260 LATINO

261-270 PUERTO RICAN

261 Boricua

261 Borinquena

261 New York Puerto Rican

261 Puerto Rico

261-270 Puertorriqueno

271-274 CUBAN

271 Cuba

271 Cubana

271-274 Guajiro

275 DOMINICAN

275 Dominican Republic

275 Dominicana

275 Santo Domingo

276-290 HISPANIC

276-290 Hispano

291-299 SPANISH

292 CALIFORNIO

293 TEJANO

293 Tejana

294 NUEVO MEXICANO

295-299 SPANISH AMERICAN

300-359 WEST INDIES (EXCEPT HISPANIC)

300 BAHAMIAN

300 Bahamas

301 BARBADIAN

301 Barbados

302 BELIZEAN

302 Belize

302 British Honduran

303 BERMUDAN

303 Bermuda

304-307 CAYMAN ISLANDER
308-309 JAMAICAN

308-309 Jamaica

310-313 DUTCH WEST INDIES

310 DUTCH WEST INDIES

310 Black Dutch

310 Netherlands Antilles

311 ARUBA ISLANDER

311 Bonaire Islander

311 Curacao Islander

312-313 ST. MAARTEN ISLANDER

312 Saba Islander

312-313 St. Eustatius Islander

314-316 TRINIDADIAN TOBAGONIAN

314 TRINIDADIAN TOBAGONIAN

315 TRINIDADIAN

316 TOBAGONIAN

317-320 U.S. VIRGIN ISLANDER

317 U.S. VIRGIN ISLANDER

318 ST. CROIX ISLANDER

318 Crucian

318 Santa Cruz

319 ST. JOHN ISLANDER

320 ST. THOMAS ISLANDER

321-331 BRITISH WEST INDIES

321 BRITISH VIRGIN ISLANDER

321 Tortolan

321 Virgin Gorda

321 Anegada

321 Jost Van Dyke

321 Peter and Norman

322 BRITISH WEST INDIAN

322 British West Indies

323 TURKS AND CAICOS ISLANDER

324 ANGUILLA ISLANDER

325 ANTIGUA AND BARBUDA

325 Antigua

325 Barbuda

325 Redonda Islander

326 MONTSERRAT ISLANDER

327 KITTS-NEVIS ISLANDER

327 St. Christopoher Islander

327 Sombrero Islander

327 St. Kitts

327 Nevis

328 DOMINICA ISLANDER

329 GRENADIAN

329 Grenada Islander

330 VINCENT-GRENADINE ISLANDER

330 St. Vincent Island

330 Vincentian

330 Grenadines Islander

331 ST. LUCIA ISLANDER

332-334 FRENCH WEST INDIES

332 FRENCH WEST INDIES
332 French West Indian

333 GUADELOUPE ISLANDER

333 Martinicois

333 Martinique Islander

334 CAYENNE

334 French Guiana

334 French Guianese

334 Guyane

335 WEST INDIAN

335 West Indies

335 Arawak

335 Caribs

335 Caribbean

335 Garifuna

336-359 HAITIAN

336-359 Haiti

360-399 CENTRAL AND SOUTH AMERICA (EXCEPT HISPANIC)

360-364 BRAZILIAN

360-364 Brazil

365-369 SAN ANDRES

370-374 GUYANESE

370 British Guiana

370-374 Guyana

375-379 PROVIDENCIA

380-399 SURINAM

380 Dutch Guiana

380-399 Netherlands Guiana

400-499 NORTH AFRICA AND SOUTHWEST ASIA

400-401 ALGERIAN

400-401 Algeria

402-403 EGYPTIAN

402 Copt

402 Egypt

402-403 Fellahin

404-405 LIBYAN

404-405 Libya

406-407 MOROCCAN

406 MOROCCAN

406 Moor

407 IFNI

408-410 TUNISIAN

408-410 Tunisia

411 NORTH AFRICAN
412 ALHUCEMAS

412 Ceuta

412 Chafarinas

412 Melilla

413 BERBER

414 RIO DE ORO

414 Saguia El Hamra

415 BAHRAINI

415 Bahrain

416 IRANIAN

416 Iran

416 Parsi

416 Persia

417-418 IRAQI

417-418 Iraq

419-420 ISRAELI

419-420 Israel

421-422 JORDANIAN

421 JORDANIAN

421 Hashemite

421 Jordan

422 TRANSJORDAN

423-424 KUWAITI

423-424 Kuwait

425-426 LEBANESE

425 Lebanon

425-426 Maronite

427-428 SAUDI ARABIAN

427-428 Saudi Arabia

429-430 SYRIAN

429 Djebel Druze

429 Latakia

429-430 Syria

431-433 ARMENIAN

431-433 Armenia

434 TURKISH

434 Turkey

435 YEMENI

435 Yemen Arab Republic

436-441 OMANI

436 OMANI

437 MUSCAT

438 TRUCIAL STATES
438 Trucial Oman

439-440 QATAR

441 BEDOUIN

442-464 KURDISH

442-443 KURDISH

444-464 KURIA MURIA ISLANDER

465-469 PALESTINIAN

465 PALESTINIAN

466 GAZA STRIP

467-469 WEST BANK

470-479 SOUTH YEMEN

470 SOUTH YEMEN

470 Democratic Republic of Yemen

471-479 ADEN

480-481 UNITED ARAB EMIRATES

480 Abu Dhabi

480 Ajman

480 Dubai

480 Fujairah

480 Ras Al Kaimah

480 Sharjah

480-481 Umm Al Qaiwain

482-489 ASSYRIAN

482 Aramean

482 Assyria

482 Chaldean

482 Chaldo

482 Jacobite

482 Kaldany

482 Kaldu

482 Kasddem

482 Kasdu

482 Nestorian

482-489 Telkeffee

490-494 MIDEAST

490-494 Middle Eastern

495-499 ARAB

495 ARAB

495 Arabia

496-499 ARABIC

500-599 SUBSAHARAN AFRICA

500-501 ANGOLAN

500 Angola

500-501 Cabinda

502-503 BENIN

502 Dahomey

502-503 Fon
504-505 BOTSWANA

504-505 Bechuana

506-507 BURUNDIAN

506-507 Urundi

508-509 CAMEROONIAN

508 Cameroon

508-509 Fako

510-511 CAPE VERDEAN

510 Brava

510-511 Cape Verde Islander

512 CENTRAL AFRICAN REPUBLIC

512 Ubangi Shari

513-514 CHADIAN

513-514 Chad

515-518 CONGOLESE

515 CONGOLESE

516-518 CONGO BRAZZAVILLE

519 DJIBOUTI

519 Afars And Issas

519 Jibuti

520-521 EQUATORIAL GUINEA

520 EQUATORIAL GUINEA

520 Rio Muni

521 CORSICO ISLANDER

521 Annobon Islander

521 Bioko Islander

521 Elobeis Islander

521 Fernando Po Islander

522-524 ETHIOPIAN

522 ETHIOPIAN

522 Abyssinia

522 Ethiopia

523-524 ERITREAN

525-526 GABONESE

525-526 Gabon

527-528 GAMBIAN

527-528 Gambia

529 GHANIAN

529 Ashanti

529 Ghana

529 Gold Coast

529 TWI

530 GUINEAN

530 Guinea
531 GUINEA BISSAU

532-533 IVORY COAST

534-537 KENYAN

534-537 Kenya

538-540 LESOTHO

538-540 Basuto

541-542 LIBERIAN

541-542 Liberia

543-544 MADAGASCAN

543-544 Madagascar

545 MALAWIAN

545 Malawi

546 MALIAN

546 Mali

547-548 MAURITANIAN

547-548 Mauritania

549 MOZAMBICAN

549 Mozambique

550 NAMIBIAN

550 Namibia

551-552 NIGER

553-560 NIGERIAN

553 NIGERIAN

553 Nigeria

554 FULAH

554 Fulani

555 HAUSA

556 IBO

557 TIV

558-560 YORUBA

561-563 RWANDAN

561-563 Rwanda

564-565 SENEGALESE

564 Dakar

564-565 Senegal

566-567 SIERRA LEONEAN

566-567 Sierra Leone

568 SOMALIAN

568 Somali Republic

568 Somalia
569 SWAZILAND

570-573 SOUTH AFRICAN

570 SOUTH AFRICAN

571 UNION OF SOUTH AFRICA

571 Orange Free State

571 Pretoria

571 Transkei

571 Transvaal

572 AFRIKANER

572 Boer

573 NATALIAN

574-575 ZULU

574-575 Zululand

576-581 SUDANESE

576 SUDANESE

576 Sudan

577 DINKA

578 NUER

579 FUR

579 Darfur

580-581 BAGGARA

582-585 TANZANIAN

582 TANZANIAN

582 Tanzania

583 TANGANYIKAN

584-585 ZANZIBAR ISLANDER

586-587 TOGO

586-587 Togoland

588 UGANDAN

588 Lugbara

588 Uganda

589-590 UPPER VOLTAN

589 UPPER VOLTAN

590 VOLTA

591 ZAIRIAN

591 Belgian Congo

591 Congo Kinshasa

591 Zaire

592 ZAMBIAN

592 Zambia

593 ZIMBABWEAN

593 Rhodesia

593 Zimbabwe

594-595 AFRICA ISLANDS (EXCEPT MADAGASCAR)

594 AFRICA ISLANDS

594 Comoros Islander
594 Principe Islander

594 Reunion Islander

594 Sao Tome Islander

594 Seychelles Islander

594 St. Helena Islander

594 St. Pierre Islander

594 Tristan De Cunha Islander

595 MAURITIAN

595 Mauritius Islander

596-599 SUBSAHARAN AFRICAN, N.E.C.

596 CENTRAL AFRICAN

596 Central Africa

596 Middle Congo

597 EAST AFRICAN

597 East Africa

597 Galla

597 Kikuyu

597 Masai

598 WEST AFRICAN

598 West Africa

599 AFRICAN

599 Africa

600-699 SOUTH ASIA

600-602 AFGHANISTAN

600 AFGHANISTAN

601 BALUCHISTAN

602 PATHAN

603-606 BANGLADESHI

603 Bangladesh

603-606 East Pakistan

607-608 BHUTANESE

607-608 Bhotan

609-614 NEPALI

609-614 Nepal

615-679 ASIAN INDIAN

615 ASIAN INDIAN

615 Behar

615 Dravidian

615 Hindu

615 Indo Aryan

615 Sikh

616-617 KASHMIR

618-619 BENGALI

620-621 EAST INDIAN

622 ANDAMAN ISLANDER

622-623 Nocobar Islander

624-625 ANDHRA PRADESH

626-627 ASSAMESE

628-629 GOANESE

630-631 GUJARATI

632-633 KARNATAKAN
634-635 KERALAN

636-637 MADHYA PRADESH

638-639 MAHARASHTRAN

640-641 MADRAS

642-643 MYSORE

644-645 NAGALAND

646-647 ORISSA

648-649 PONDICHERRY

650-651 PUNJAB

652-653 RAJASTHAN

654-655 SIKKIM

656-657 TAMIL NADU

658-674 UTTAR PRADESH

675-679 EAST INDIES

680-689 PAKISTANI

680 Jammu

680 Pakistan

680 Sind

680-689 West Pakistan

690-694 SRI LANKAN

690 SRI LANKAN

690 Ceylon

690 Sri Lanka

691 SINGHALESE

692-694 VEDDAH

695-699 MALDIVIAN

695 Kampuchean

695-699 Maldive Islander

700-799 OTHER ASIA

700-702 BURMESE

700 BURMESE

700 Cachin

700 Karen

700 Mon

700-701 Palaung

702 SHAN

703-705 CAMBODIAN

703 CAMBODIAN

703 Cambodia

703 Kampuchea

704-705 KHMER

706-711 CHINESE

706 CHINESE

706 China

706 Jehol

706 Sino Chinese

706 Yao

707 CANTONESE

708 MANCHURIA

709-711 MANDARIN
712-713 MONGOLIAN

712 Buriat

712-713 Mongolia

714-715 TIBETAN

714-715 Tibet

716-717 HONG KONG

716 Hong Kong Chinese

716 Eastern Archipelago

716-717 Riau Islander

718-719 MACAO

720-729 FILIPINO

720 Cebuanos

720 Philippines

720-729 Tagalog

730-739 INDONESIAN

730 INDONESIAN

730 Ascension Islander

730 Bangka

730 Billiton

730 Celebes Islander

730 Dutch East Indian

730 Indonesia

730 Molucca Islander

730 Portuguese Timor

730 Spice Islander

730-731 Sulawesi Islander

732-733 BORNEO

734-735 JAVA

736-739 SUMATRA

740-745 JAPANESE

740 JAPANESE

740 Japan

740 Nipponese

741 ISSEI

742 NISEI

743 SANSEI

744 YONSEI

745 GONSEI

746-747 RYUKYU ISLANDER

746-747 Northern Ryukyu Islander

748-749 OKINAWAN

748-749 Okinawa

750-764 KOREAN

750 Chosen

750-764 Korea

765-767 LAOTIAN

765 LAOTIAN
765 Lao

765 Laos

766-767 MEO

768-769 HMONG

768 Hmongtana

768 Laohmong

768-769 Mong

770 MALAYSIAN

770 Malaysia

770 Sakai

770 Semang

770 Senoi

771-773 NORTH BORNEO

771 Brunei

771 Sabah

771-773 Sarawak

774-775 SINGAPOREAN

774-775 Singapore

776-781 THAI

776 THAI

776 Siam

776 Thailand

777 BLACK THAI

777 Thai Dam

778-781 WESTERN LAO

782 TAIWANESE

782 Taiwan

783-784 FORMOSAN

783-784 Formosa

785-789 VIETNAMESE

785 VIETNAMESE

785 Anam

785 Vietnam

786 KATU

787 MA

788-789 MNONG

790-791 MONTAGNARD

790-791 Cham

792 INDO CHINESE

792 Indochina

793 EURASIAN

793 Indoeuropean

794 AMERASIAN
795-799 ASIAN

795 Asia

795-799 Orient

800-899 PACIFIC

800-802 AUSTRALIAN

800 AUSTRALIAN

800 Australia

800 New South Wales

800 Northern Territory

800 Queensland

800 Victoria

801 TASMANIAN

802 AUSTRALIAN ABORIGINE

803-807 NEW ZEALANDER

803-807 New Zealand

808-810 POLYNESIAN

808 POLYNESIAN

808 Norfolk Islander

809 KAPINGAMARANGAN

809 Nukuoroan

810 MAORI

811-813 HAWAIIAN

811 HAWAIIAN

811 Mixed Hawaiian

811-812 Native Hawaiian

813 PART HAWAIIAN

814, 861 SAMOAN

814 SAMOAN

814 Samoa

861 PART-SAMOAN

815 TONGAN

815 Tonga

816 TOKELAUAN

816 Tokelau Islander

817 COOK ISLANDER

818 TAHITIAN

818 French Polynesia

818 Society Islander

819 NIUEAN

820 MICRONESIAN

820 Micronesia Islander

820 U.S. Trust Territory of the Pacific

821-822 GUAMANIAN

821 GUAMANIAN

821 Guam

822 CHAMORRO ISLANDER
823 SAIPANESE

823 Northern Marianas Islander

823 Saipan Islander

824 PALAUAN

825 MARSHALLESE

825 Marshall Islander

826 KOSRAEAN

827 PONAPEAN (POHNPEIAN)

827 Mokilese

827 Ngatikese

827 Pingelapese

828 TRUKESE (CHUUKESE)

828 Hall Islander

828 Mortlockese

828 Namanouito

828 Pulapese

828 Pulasukese

828 Pulawatese

828 Tamatamian

828 Ulul

829 YAPESE

830 CAROLINIAN

830 Eauripikese

830 Faisian

830 Ifalukese

830 Lamotrekese

830 Satawalese

830 Ulithian

830 Woleaian

831 KIRIBATESE

831 Gilbertese

832-833 NAURUAN

832 NAURUAN

833 TARAWA ISLANDER

834-839 TINIAN

840 MELANESIAN

841-842 FIJIAN

841-842 Fiji

843-844 NEW GUINEAN

843 NEW GUINEAN

844 PAPUAN
845 SOLOMON ISLANDER

845 British Solomons

846 NEW CALEDONIAN

847-849 VANUATUAN

847 New Hebrides Islander

847-849 Ni Vanuatu

850-859 PACIFIC ISLANDER

850 Campbell Islander

850 Christmas Islander

850 Kermadec Islander

850 Midway Islander

850 Phoenix Islander

850-859 Wake Islander

860 PACIFIC

860 Oceania

861 See SAMOAN (code 814)

862 CHAMOLINIAN

863-899 RESERVE CODE

864 RESERVE CODE 1

865 RESERVE CODE 2

866 RESERVE CODE 3

867 RESERVE CODE 4

868 RESERVE CODE 5

869 RESERVE CODE 6

870 RESERVE CODE 7

871 RESERVE CODE 8

872 RESERVE CODE 9

873 RESERVE CODE 10

874 RESERVE CODE 11

875 RESERVE CODE 12

876 RESERVE CODE 13

877 RESERVE CODE 14

878 RESERVE CODE 15

879 RESERVE CODE 16

880 RESERVE CODE 17

881 RESERVE CODE 18

882 RESERVE CODE 19

883 RESERVE CODE 20

884 RESERVE CODE 21

885 RESERVE CODE 22

886 RESERVE CODE 23

887 RESERVE CODE 24

888 RESERVE CODE 25

889 RESERVE CODE 26

890 RESERVE CODE 27

891 RESERVE CODE 28

892 RESERVE CODE 29

893 RESERVE CODE 30

894 RESERVE CODE 31

895 RESERVE CODE 32
896 RESERVE CODE 33

897 RESERVE CODE 34

898 RESERVE CODE 35

899 RESERVE CODE 36

900-994 NORTH AMERICA (EXCEPT HISPANIC)

900-912 AFRICAN AMERICAN

900 AFRO AMERICAN

901 AFRO

902 AFRICAN AMERICAN

903 BLACK

904 NEGRO

905 NONWHITE

906 COLORED

906 Bilalian

906 Nigritian

907 CREOLE

908-912 MULATTO

913-923 NATIVE AMERICAN

913 CENTRAL AMERICAN INDIAN

914-918 SOUTH AMERICAN INDIAN

919 CHEROKEE

920 AMERICAN INDIAN

921 ALEUT

922 ESKIMO

923 INUIT

924-928 WHITE

924 WHITE

924 Caucasian

925 ANGLO

925 Swamp Yankee

925-926 Wasp

927 APPALACHIAN

927 Hillbilly

928 ARYAN

929 PENNSYLVANIA GERMAN

929 Amish

929 Pennsylvania Dutch

929 Mennonite

929 Hutterite

930 GREENLANDER

931-934 CANADIAN

931 CANADIAN

931 Albertan

931 British Columbia

931 Canada

931 Labrador

931 Manitoba

931 New Brunswick

931 Ontario

931 Prince Edward Islander

931 Saskatchewan
931-932 Yukon

933 NEWFOUNDLAND

934 NOVA SCOTIA

935 FRENCH CANADIAN

935 Canadien

935 Franco American

935 Quebec

935 Quebecois

936-938 ACADIAN/CAJUN

936 ACADIAN

936 Acadia

937-938 CAJUN

939 AMERICAN

940-992 UNITED STATES

940 UNITED STATES

941 ALABAMA

942 ALASKA

943 ARIZONA

944 ARKANSAS

945 CALIFORNIA

946 COLORADO

947 CONNECTICUT

948 DISTRICT OF COLUMBIA

949 DELAWARE

950 FLORIDA

951 IDAHO

952 ILLINOIS

953 INDIANA

954 IOWA

955 KANSAS

956 KENTUCKY

957 LOUISIANA

958 MAINE

959 MARYLAND

960 MASSACHUSETTS

961 MICHIGAN

962 MINNESOTA

963 MISSISSIPPI

964 MISSOURI

965 MONTANA

966 NEBRASKA

967 NEVADA

968 NEW HAMPSHIRE

969 NEW JERSEY

970 NEW MEXICO

971 NEW YORK

972 NORTH CAROLINA

973 NORTH DAKOTA

974-975 OHIO

976 OKLAHOMA

977 OREGON

978 PENNSYLVANIA

979 RHODE ISLAND
980 SOUTH CAROLINA

981 SOUTH DAKOTA

982 TENNESSEE

983 TEXAS

984 UTAH

985 VERMONT

986 VIRGINIA

987 WASHINGTON

988 WEST VIRGINIA

989 WISCONSIN

990 WYOMING

991-992 GEORGIA

993 SOUTHERNER

994 NORTH AMERICAN

994 North America

995-999 RESIDUAL AND NO RESPONSE

995 MIXTURE

996-997 UNCODABLE ENTRIES

998 OTHER RESPONSES

998 Adventist

998 Agnostic

998 Apostolic

998 Ashkenazim Jew

998 Atheist

998 Bahai

998 Baptist

998 Brethren

998 Buddhist

998 Catholic

998 Christian

998 Christian Scientist

998 Congregationalist

998 Episcopal

998 Evangelist

998 Hebrew

998 Holiness

998 Islam

998 Jain

998 Jehovahs Witnesses

998 Jewish

998 Latter Day Saints

998 Lutheran

998 Methodist

998 Mormon

998 Muslim

998 Orthodox

998 Pentecostal

998 Presbyterian

998 Protestant

998 Quaker

998 Roman Catholic

998 Salvation Army

998 Sephardic

998 Seventh Day Adventist
998 Shiite

998 Unitarian

998 Yiddish

998 Zoroastrian

999 NOT REPORTED

GROUP QUARTERS

This section contains the alphabetical code list for group quarters. The group 

quarters code list was used by special place prelist enumerators to classify

each type of group quarters. Each group quarters code is a two-digit number 

followed by either an "I" (institutional) or "N" (noninstitutional) suffix. 

The group quarters codes listed in the second column are for staff residing in 

group quarters.

 Staff

GQ residents

codes GQ codes

87-N -- A. College Quarters Off Campus

 (Code only if occupied by 10 or more unrelated 

 persons. If less than 10, these are classified 

 as a housing unit.)

 B. Correctional Institutions

22-I 22-N 1. Federal Detention Centers: Including Park 

 Police, Bureau of Indian Affairs, 

 Immigration and Naturalization Service (INS) 

 centers, INS detention centers operated 

 within local jails, and State and Federal 

 prisons. INS detention centers also include 

 INS Federal Alien Detention Facilities, INS 

 Service Processing Centers, and INS Contract 

 Detention Centers used to detain aliens under 

 exclusion or deportation proceedings and 

 aliens who require custodial departures.

21-I 21-N 2. Federal Prisons: Including criminally 

 insane wards operated by a Federal prison 

 within a mental or general hospital. If ward 

 is not operated by a prison, code according 

 to paragraph H4. For detention centers 

 within Federal prisons, see B1 above.

23-I 23-N 3. Halfway Houses: Operated for correctional 

 purposes, including probation and resti-

 tution centers, prerelease centers, and 

 community-residential treatment centers.

27-I 27-N 4. Local (County/City) Jails and Other Local 

 Confinement Facilities: Including work 

 farms used to hold persons awaiting trial or 

 serving time on relatively short sentences 

 (usually of a year or less), and jails run by 

 private businesses under contract.

95-I 95-N 5. Military Stockades, Jails
28-I 28-N 6. Police Lockups: Temporary-holding 

 facilities or other facilities that hold 

 persons only if they have not been formally 

 charged in court (usually detained less than 48 

 hours).

24-I 24-N 7. State Prisons: Prisons run by private businesses 

 (under contract); including criminally insane 

 wards operated by a State prison within a mental 

 or general hospital. If ward is not operated by 

 a prison, code according to paragraph H4.

20-I 20-N 8. Other Types of Correctional Institutions: 

 Including private correctional facilities and 

 correctional facilities specifically for 

 alcohol/drug abuse. (Use only as a last resort 

 if no other type code applies.)

91-N -- C. Crews of Civilian Vessels

 D. Dormitories

92-N -- 1. Agriculture Workers' Dormitories on Farms: 

 Including migratory farm workers' camps on 

 farms, bunkhouses for ranch hands, and other 

 dormitories on farms including those on "tree 

 farms."

87-N -- 2. College Student Dormitories, and Fraternity and 

 Sorority Houses (on campus): Including 

 residential quarters for those in religious 

 orders.

86-N -- 3. Dormitories for Nurses and Interns in General and 

 Military Hospitals

97-N -- 4. Military Quarters on Base: Including barracks, 

 bachelor officers quarters, unaccompanied 

 officer personnel housing, unaccompanied 

 enlisted personnel housing, and similar 

 noninstitutional group living quarters for 

 military personnel.

93-N -- 5. Other Workers' Dormitories: Including logging 

 camps, construction workers' camps, firehouse 

 dormitories, job-training camps, energy enclave 

 (Alaska only), Alaskan pipeline camps, nonfarm 

 migratory workers' camps, such as workers who 

 lay oil and gas pipelines.

 6. Runaway, Neglected, and Homeless Children: 

 Including emergency shelters/group homes which 

 provide temporary sleeping facilities for 

 juveniles, see paragraph F2.

 E. Elderly: Skilled nursing facilities, intermediate 

 care facilities, long-term care rooms in wards or 

 buildings on the grounds of hospitals, nursing, 

 convalescent, and rest homes including soldiers', 

 sailors', veterans', and fraternal or religious 

 homes for the aged, with or without nursing care.

 NOTE: Do not include dormitories for nurses' and 

 interns'; see paragraph D3.
 1. Public Ownership

62-I 62-N a. Federal ownership: Including Veterans' 

 Administration, domiciliary homes, and U.S. 

 Naval homes.

63-I 63-N b. State ownership

64-I 64-N c. County or city ownership

65-I 65-N d. Don't know if Federal, State, or county-city 

 ownership (Use only as a last resort if no 

 other type code applies.)

 2. Private Ownership

66-I 66-N a. Private not-for-profit

67-I 67-N b. Private for profit

60-I 60-N c. Don't know if for profit or not (Use only as 

 a last resort if no other type code applies.)

61-I 61-N 3. Don't Know if Federal, State, Local, or Private 

 Ownership (Use only as a last resort if no other 

 type code applies.)

 F. Emergency Shelter/Street Night Enumeration 

 ("S-NIGHT")

82-N -- 1. Shelters for the Homeless with Sleeping 

 Facilities: Including emergency housing, mis-

 sions and flop-houses, Salvation Army shelters, 

 hotels and motels charging $12 or less a night 

 (excluding taxes), hotels and motels used 

 entirely for homeless persons, the group of 

 rooms in hotels and motels used partially for the 

 homeless, and similar places known to have 

 persons with no usual home elsewhere who stay 

 overnight.

83-N -- 2. Runaway, Neglected, and Homeless Children: 

 Including emergency shelters/group homes which 

 provide temporary sleeping facilities for 

 juveniles.

 3. Street Enumeration Predesignated Sites

84-N -- a. Nonstructure locations, other than 

 commerce places: Including street corners, 

 parks, bridges, abandoned and boarded-up 

 buildings, noncommercial campsites ("tent 

 cities"), and similar sites.

85-N -- b. Commerce places: Including railroad 

 stations, airports, bus depots, subway 

 stations, all-night movie theaters, all-night 

 restaurants, emergency hospital waiting 

 rooms, and other similar predesignated 

 sites.

75-N -- 4. Shelters for Abused Women (Shelters against 

 domestic violence)

 G. Group Homes: Including those providing community-

 based care and supportive services such as halfway 

 houses for the groups listed below. (Code only if 

 occupied by 10 or more unrelated persons. If less 

 than 10, these are classified as a housing unit.)

76-N -- 1. Drug/Alcohol Abuse: Including group homes, 

 detoxification centers, quarterway houses such 

 as residential treatment facilities that work 

 closely with an accredited hospital, halfway 

 houses, recovery homes for ambulatory, and 
 mentally competent recovering alcoholics who may 

 be re-entering the work force. (Ask usual home 

 elsewhere in these places. Include as living 

 there only persons who have no usual home else-

 where.)

29-N -- 2. Maternity (Homes for unwed mothers) (Ask usual 

 home elsewhere in these places. Include as 

 living there only persons who have no usual home 

 elsewhere.)

 3. Mentally Ill

16-N -- a. Federal

17-N -- b. State

18-N -- c. Private

19-N -- d. Don't know if public/private ownership (Use 

 only as a last resort if no other type code 

 applies.)

 4. Mentally Retarded

56-N -- a. Federal

57-N -- b. State

58-N -- c. Private

59-N -- d. Don't know if public/private ownership (Use 

 only as a last resort if no other type code 

 applies.)

 5. Physically Handicapped

72-N -- a. Public ownership

73-N -- b. Private ownership

74-N -- c. Don't know if public/private ownership (Use 

 only as a last resort if no other type code 

 applies.)

 6. Runaway, Neglected, and Homeless Children: 

 Including emergency shelters/group homes which 

 provide temporary sleeping facilities for 

 juveniles, see paragraph F2.

79-N -- 7. Other Group Homes: Including communes, foster 

 care homes and job corps centers with 10 or more 

 unrelated children. Do not include emergency 

 housing for persons with no other home. See 

 paragraph F1. (Use only as a last resort if no 

 other type code applies.)

 H. Hospitals/Schools for the Handicapped

86-N -- 1. Dormitories for Nurses and Interns in General and 

 Military Hospitals

70-I 70-N 2. Drug/Alcohol Abuse: Including hospitals, and 

 hospital wards in psychiatric and general 

 hospitals. These facilities/wards are in a 

 medical setting equipped and designed for the 

 diagnosis and treatment of medical or 

 psychiatric illnesses associated with alcohol or 

 drug abuse. Patients receive supervised 

 medical/nursing care from a formally trained 

 staff. For group homes, see paragraph G.

 3. Hospitals for Chronically Ill

54-I 86-N a. Military hospitals or wards for chronically 

 ill

55-I 86-N b. Other hospitals or wards for chronically 

 ill: Including 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 unspeci-

 fied wards for the chronically ill. Do not 

 include mental or alcohol/drug abuse hospi-

 tals or wards.

 4. Mentally Ill (Psychiatric): Hospitals or 

 wards, including wards for the criminally 

 insane not operated by a prison and 

 psychiatric wards of general hospitals and 

 veterans' hospitals. This is a medical set-

 ting designed for the treatment of mental 

 illness. Patients receive supervised and 

 medical/nursing care from a formally trained 

 staff. Code wards for the mentally retarded 

 according to paragraph H5. Do not include 

 hospitals or wards for alcohol/drug abuse; 

 see paragraph H2.

46-I 46-N a. Federal ownership

47-I 47-N b. State or local ownership

48-I 48-N c. Private ownership

45-I 45-N d. Don't know if Federal, State, local, or 

 private ownership (Use only as a last 

 resort if no other type code applies.)

 5. Mentally Retarded: Schools, hospitals, wards, 

 including wards in hospitals for the mentally 

 ill, and intermediate care facilities for the 

 mentally retarded. This is in a suitably-

 equipped setting and with supervised and 

 medical/nursing care from a formally trained 

 staff.

41-I 41-N a. Federal ownership

43-I 43-N b. State or local ownership

42-I 42-N c. Private ownership

40-I 40-N d. Don't know if Federal, State, local, or 

 private ownership (Use only as a last resort 

 if no other type code applies.)

 6. Physically Handicapped: Including schools, 

 hospitals, or wards in a suitably-equipped 

 medical setting and designed primarily for the 

 physically handicapped who receive supervised 

 care and medical/nursing care from a formally 

 trained staff.

 a. Institutions for the deaf

38-I 38-N (1) Public ownership

39-I 39-N (2) Private ownership

37-I 37-N (3) Don't know if public/private ownership 

 (Use only as a last resort if no other 

 type code applies.)

 b. Institutions for the blind

35-I 35-N (1) Public ownership

36-I 36-N (2) Private ownership

34-I 34-N (3) Don't know if public/private ownership 

 (Use only as a last resort if no other 

 type code applies.)
 c. Orthopedic wards and institutions for 

 physically handicapped: Including accident 

 victims, and persons with polio, cerebral 

 palsy, and muscular dystrophy.

32-I 32-N (1) Public ownership

33-I 33-N (2) Private ownership

31-I 31-N (3) Don't know if public/private ownership 

 (Use only as a last resort if no other 

 type code applies.)

53-I 86-N 7. Wards in General and Military Hospitals for 

 Patients Who Have No Usual Home Elsewhere: 

 Including maternity, neonatal, pediatric 

 (including wards for boarder babies), military, 

 surgical wards, and other purpose wards of 

 hospitals and wards for infectious diseases.

 Note: Do not include long-term care rooms for 

 the elderly in wards or buildings on the grounds 

 of hospitals, see paragraph E.

 I. Hotels/Motels: "S-Night" locations, see para-

 graph F.

 J. Juvenile Institutions: Including homes, schools, and 

 hospitals.

 1. Long-Term Care (length of stay usually more than 

 30 days)

 a. Neglected, abused, and dependent children: 

 Including orphanages, homes, or residential 

 care.

03-I 03-N (1) Public ownership

04-I 04-N (2) Private ownership

02-I 02-N (3) Don't know if public/private ownership 

 (Use only as a last resort if no other 

 type code applies.)

05-I 05-N b. Emotionally disturbed children: Including 

 residential treatment centers (psychiatric 

 care provided).

 c. Delinquent children: Placed by court, 

 parents, or social service agency, in 

 residential training school or home, 

 including industrial schools, camps, or 

 farms.

12-I 12-N (1) Public ownership: Committed by courts.

15-I 15-N (2) Private ownership: Some are committed 

 by courts, others are referred by par-

 ents or social service agencies because 

 of delinquent behavior.

11-I 11-N (3) Don't know if public/private ownership 

 (Use only as a last resort if no other 

 type code applies.)

 2. Short-term (length of stay usually 30 days or 

 less) 

10-I 10-N a. Delinquent children: Including those 

 receiving temporary care in detention or 

 diagnostic centers pending court disposition 

 of case.
 b. Runaway, neglected, and homeless children: 

 Including emergency shelters/group homes 

 which provide temporary sleeping facilities 

 for juveniles, see paragraph F2.

01-I 01-N 3. Don't Know Type of Juvenile Institution: 

 Including homes, schools, hospitals, or wards 

 for children. (Use only as a last resort if no 

 other type code applies.)

 K. Military Quarters

 1. On Base

97-N -- a. Barracks, bachelor officers quarters, 

 unaccompanied officer personnel housing, un-

 accompanied enlisted personnel housing, and 

 similar noninstitutional group living quarters 

 for military personnel

96-N -- b. Transient quarters (noninstitutional) for 

 temporary residents (military or civilian)

86-N -- c. Dormitories for nurses and interns in general 

 military hospitals

54-I 86-N d. Hospitals or wards for chronically ill

95-I 95-N e. Stockades and jails

98-N -- 2. Military Ships

90-N -- L. Natural Disaster: Including those temporarily 

 displaced by a natural disaster, such as "Hurricane 

 Hugo."

89-N -- M. Religious Group Quarters: Including convents, 

 monasteries, and rectories. Members of religious 

 orders who live in a dormitory at a hospital or 

 college were classified according to the type of 

 place where they live, such as 86-N if at a general 

 hospital, or 87-N if at a college. (Code only if 

 occupied by 10 or more unrelated persons. If less 

 than 10, these are classified as a housing unit.)

80-N -- N. Rooming and Boarding Houses 

 

 (Code only if occupied by 10 or more unrelated 

 persons. If less than 10, these are classified as a 

 housing unit.)

 O. Schools for the Handicapped: See paragraphs H5 and 

 H6.

 P. Shelter/Street Night Enumeration ("S-Night"): See 

 paragraph F.

94-N -- Q. Other Nonhousehold Living Situations: Including 

 places not covered by other GQ codes shown herein, 

 such as commercial or public campgrounds, 

 campgrounds at racetracks, fairs, and carnivals, 

 hostels, and similar transient sites. (Ask usual 

 home elsewhere in these places. Include as living 

 there only persons who have no usual home elsewhere.)

 R. Staff of Institutions: Including staff personnel 

 residing in group quarters. Code according to the 

 appropriate type of group quarters shown under the 

 column "Staff residents GQ codes." Staff 

 residents are coded with an "N" suffix.

 Note: Do not assign GQ codes to staff residents in 

 group quarters where a "--" is shown.
HISPANIC ORIGIN

This section contains the code list used to code write-in entries for the 

Hispanic origin question. A set of three-digit numerical codes was used to 

identify FOSDIC circles for the Hispanic origin categories listed in the 

Hispanic origin item on the questionnaire. These codes and their 

respective Hispanic origin categories are: Not Spanish/Hispanic-001, 

Mexican-002, Puerto Rican-003, Cuban-004, and Other Spanish/Hispanic-005. 

For sample (long-form) questionnaires, a separate set of three-digit 

numerical codes was used to code write-in entries provided by respondents 

to the "Yes, other Spanish/Hispanic" category of the Hispanic origin item. 

The list of origins with their associated three-digit codes is shown below. 

"n.e.c." is the abbreviation for not elsewhere classified.

000-001, NOT SPANISH/HISPANIC

006-199

000-001 Not Spanish/Hispanic (FOSDIC circle)

006-199 Not Spanish/Hispanic

200-209 SPANIARD

200 Spaniard

201 Andalusian

202 Asturian

203 Castillian

204 Catalonian

205 Balearic Islander

206 Gallego

207 Valencian

208 Canarian

209 Spanish Basque

002, 210-220 MEXICAN

002 Mexican (FOSDIC circle)

210 Mexican

211 Mexican American

212 Mexicano

213 Chicano

214 La Raza

215 Mexican American Indian

216 Reserve Spanish/Hispanic 1

217 Reserve Spanish/Hispanic 2

218 Mexico

219 Reserve Spanish/Hispanic 3

220 Reserve Spanish/Hispanic 4

221-230 CENTRAL AMERICAN

221 Costa Rican

222 Guatemalan

223 Honduran

224 Nicaraguan

225 Panamanian

226 Salvadoran

227 Central American

228 Central American Indian
229 Canal Zone

230 Reserve Spanish/Hispanic 5

231-249 SOUTH AMERICAN

231 Argentinean

232 Bolivian

233 Chilean

234 Colombian

235 Ecuadorian

236 Paraguayan

237 Peruvian

238 Uruguayan

239 Venezuelan

240 Reserve Spanish/Hispanic 6

241 Reserve Spanish/Hispanic 7

242 Reserve Spanish/Hispanic 8

243 Reserve Spanish/Hispanic 9

244 Reserve Spanish/Hispanic 10

245 Reserve Spanish/Hispanic 11

246 Reserve Spanish/Hispanic 12

247 South American Indian

248 Criollo

249 South American

250-260 LATIN AMERICAN

250 Latin American

251 Latin

252 Latino

253 Reserve Spanish/Hispanic 13

254 Reserve Spanish/Hispanic 14

255 Reserve Spanish/Hispanic 15

256 Reserve Spanish/Hispanic 16

257 Reserve Spanish/Hispanic 17

258 Reserve Spanish/Hispanic 18

259 Reserve Spanish/Hispanic 19

260 Reserve Spanish/Hispanic 20

003, 261-270 PUERTO RICAN

003 Puerto Rican (FOSDIC circle)

261 Puerto Rican

262 Reserve Spanish/Hispanic 21

263 Reserve Spanish/Hispanic 22

264 Reserve Spanish/Hispanic 23

265 Reserve Spanish/Hispanic 24

266 Reserve Spanish/Hispanic 25

267 Reserve Spanish/Hispanic 26

268 Reserve Spanish/Hispanic 27

269 Reserve Spanish/Hispanic 28

270 Reserve Spanish/Hispanic 29

004, 271-274 CUBAN

004 Cuban (FOSDIC circle)

271 Cuban

272 Reserve Spanish/Hispanic 30

273 Reserve Spanish/Hispanic 31

274 Reserve Spanish/Hispanic 32
275-289 DOMINICAN

275 Dominican

276 Reserve Spanish/Hispanic 33

277 Reserve Spanish/Hispanic 34

278 Reserve Spanish/Hispanic 35

279 Reserve Spanish/Hispanic 36

280 Reserve Spanish/Hispanic 37

281 Reserve Spanish/Hispanic 38

282 Reserve Spanish/Hispanic 39

283 Reserve Spanish/Hispanic 40

284 Reserve Spanish/Hispanic 41

285 Reserve Spanish/Hispanic 42

286 Reserve Spanish/Hispanic 43

287 Reserve Spanish/Hispanic 44

288 Reserve Spanish/Hispanic 45

289 Reserve Spanish/Hispanic 46

005, 290-999 OTHER SPANISH/HISPANIC

005 Other Spanish/Hispanic (FOSDIC circle)

290 Hispanic

291 Spanish

292 Californio

293 Tejano

294 Nuevo Mexicano

295 Spanish American

296 Spanish American Indian

297 Meso American Indian

298 Mestizo

299-999 Other Spanish/Hispanic, n.e.c.

INDUSTRY

The list presents the industrial classification developed for the 1990 

Census of Population and Housing. There are 235 categories for the 

employed, with 1 additional category for the experienced unemployed, 

and 7 additional categories for the Armed Forces. These categories are 

aggregated into 13 major groups. The classification is developed from 

the 1987 Standard Industrial Classification. “n.e.c.” is the 

abbreviation for not elsewhere classified.

000-039 AGRICULTURE, FORESTRY, AND FISHERIES

000-010 Agricultural production, crops (01)

011 Agricultural production, livestock (02)

012 Veterinary services (074)

013-020 Landscape and horticultural services (078)

021-030 Agricultural services, n.e.c. (071, 072, 075, 076)

031 Forestry (08)

032-039 Fishing, hunting, and trapping (09)

040-059 MINING

040 Metal mining (10)

041 Coal mining (12)

042 Oil and gas extraction (13)

043-059 Nonmetallic mining and quarrying, except fuel (14)
060-099 CONSTRUCTION (15, 16, 17)

100-399 MANUFACTURING

100-229 Nondurable Goods

100-129 Food and kindred products

100 Meat products (201)

101 Dairy products (202)

102-109 Canned, frozen and preserved fruits and vegetables 

 (203)

110 Grain mill products (204)

111 Bakery products (205)

112-119 Sugar and confectionery products (206)

120 Beverage industries (208)

121 Miscellaneous food preparations and kindred products 

 (207, 209)

122-129 Not specified food industries

130-131 Tobacco manufactures (21)

132-150 Textile mill products

132-139 Knitting mills (225)

140 Dyeing and finishing textiles, except wool and knit 

 goods (226)

141 Carpets and rugs (227)

142-149 Yarn, thread, and fabric mills (221-224, 228)

150 Miscellaneous textile mill products (229)

151-159 Apparel and other finished textile products

151 Apparel and accessories, except knit (231-238)

152-159 Miscellaneous fabricated textile products (239)

160-170 Paper and allied products

160 Pulp, paper, and paperboard mills (261-263)

161 Miscellaneous paper and pulp products (267)

162-170 Paperboard containers and boxes (265)

171-179 Printing, publishing, and allied industries

171 Newspaper publishing and printing (271)

172-179 Printing, publishing, and allied industries, except 

 newspapers (272-279)

180-199 Chemicals and allied products

180 Plastics, synthetics, and resins (282)

181 Drugs (283)

182-189 Soaps and cosmetics (284)

190 Paints, varnishes, and related products (285)

191 Agricultural chemicals (287)

192-199 Industrial and miscellaneous chemicals (281, 286, 289)

200-209 Petroleum and coal products

200 Petroleum refining (291)

201-209 Miscellaneous petroleum and coal products (295, 299)

210-219 Rubber and miscellaneous plastics products

210 Tires and inner tubes (301)

211 Other rubber products, and plastics footwear and 

 belting (302-306)
212-219 Miscellaneous plastics products (308)

220-229 Leather and leather products

220 Leather tanning and finishing (311)

221 Footwear, except rubber and plastic (313, 314)

222-229 Leather products, except footwear (315-317, 319)

230-399 Durable Goods

230-241 Lumber and wood products, except furniture

230 Logging (241)

231 Sawmills, planing mills, and millwork (242, 243)

232-240 Wood buildings and mobile homes (245)

241 Miscellaneous wood products (244, 249)

242-249 Furniture and fixtures (25)

250-269 Stone, clay, glass, and concrete products

250 Glass and glass products (321-323)

251 Cement, concrete, gypsum, and plaster products (324, 

 327)

252-260 Structural clay products (325)

261 Pottery and related products (326)

262-269 Miscellaneous nonmetallic mineral and stone products 

 (328, 329)

270-309 Metal industries

270 Blast furnaces, steelworks, rolling and finishing mills 

 (331)

271 Iron and steel foundries (332)

272-279 Primary aluminum industries (3334, part 334, 3353-3355, 

 3363, 3365)

280 Other primary metal industries (3331, 3339, part 334, 

 3351, 3356, 3357, 3364, 3366, 3369, 339)

281 Cutlery, handtools, and general hardware (342)

282-289 Fabricated structural metal products (344)

290 Screw machine products (345)

291 Metal forgings and stampings (346)

292-299 Ordnance (348)

300 Miscellaneous fabricated metal products (341, 343, 347, 

 349)

301-309 Not specified metal industries

310-339 Machinery and computing equipment

310 Engines and turbines (351)

311 Farm machinery and equipment (352)

312-319 Construction and material handling machines (353)

320 Metalworking machinery (354)

321 Office and accounting machines (3578, 3579)

322-330 Computers and related equipment (3571-3577)

331 Machinery, except electrical, n.e.c. (355, 356, 358, 

 359)

332-339 Not specified machinery

340-350 Electrical machinery, equipment, and supplies

340 Household appliances (363)

341 Radio, TV, and communication equipment (365, 366)
342-349 Electrical machinery, equipment, and supplies, n.e.c. 

 (361, 362, 364, 367, 369)

350 Not specified electrical machinery, equipment, and 

 supplies

351-370 Transportation equipment

351 Motor vehicles and motor vehicle equipment (371)

352-359 Aircraft and parts (372)

360 Ship and boat building and repairing (373)

361 Railroad locomotives and equipment (374)

362-369 Guided missiles, space vehicles, and parts (376)

370 Cycles and miscellaneous transportation equipment (375, 

 379)

371-389 Professional and photographic equipment, and watches

371 Scientific and controlling instruments (381, 382 except 

 3827)

372-379 Medical, dental, and optical instruments and supplies 

 (3827, 384, 385)

380 Photographic equipment and supplies (386)

381-389 Watches, clocks, and clockwork operated devices (387)

390 Toys, amusement, and sporting goods (394)

391 Miscellaneous manufacturing industries (39 except 394)

392-399 Not specified manufacturing industries

400-499 TRANSPORTATION, COMMUNICATIONS, AND OTHER PUBLIC 

 UTILITIES

400-439 Transportation

400 Railroads (40)

401 Bus service and urban transit (41, except 412)

402-409 Taxicab service (412)

410 Trucking service (421, 423)

411 Warehousing and storage (422)

412-419 U.S. Postal Service (43)

420 Water transportation (44)

421 Air transportation (45)

422-431 Pipe lines, except natural gas (46)

432-439 Services incidental to transportation (47)

440-449 Communications

440 Radio and television broadcasting and cable (483, 484)

441 Telephone communications (481)

442-449 Telegraph and miscellaneous communications services 

 (482, 489)

450-499 Utilities and sanitary services

450 Electric light and power (491)

451 Gas and steam supply systems (492, 496)

452-469 Electric and gas, and other combinations (493)

470 Water supply and irrigation (494, 497)

471 Sanitary services (495)

472-499 Not specified utilities
500-579 WHOLESALE TRADE

500-539 Durable Goods

500 Motor vehicles and equipment (501)

501 Furniture and home furnishings (502)

502-509 Lumber and construction materials (503)

510 Professional and commercial equipment and supplies 

 (504)

511 Metals and minerals, except petroleum (505)

512-520 Electrical goods (506)

521-529 Hardware, plumbing and heating supplies (507)

530 Machinery, equipment, and supplies (508)

531 Scrap and waste materials (5093)

532-539 Miscellaneous wholesale, durable goods (509 except 

 5093)

540-579 Nondurable Goods

540 Paper and paper products (511)

541 Drugs, chemicals and allied products (512, 516)

542-549 Apparel, fabrics, and notions (513)

550 Groceries and related products (514)

551 Farm-product raw materials (515)

552-559 Petroleum products (517)

560 Alcoholic beverages (518)

561 Farm supplies (5191)

562-570 Miscellaneous wholesale, nondurable goods (5192-5199)

571-579 Not specified wholesale trade

580-699 RETAIL TRADE

580 Lumber and building material retailing (521, 523)

581 Hardware stores (525)

582-589 Retail nurseries and garden stores (526)

590 Mobile home dealers (527)

591 Department stores (531)

592-599 Variety stores (533)

600 Miscellaneous general merchandise stores (539)

601 Grocery stores (541)

602-609 Dairy products stores (545)

610 Retail bakeries (546)

611 Food stores, n.e.c. (542, 543, 544, 549)

612-619 Motor vehicle dealers (551, 552)

620 Auto and home supply stores (553)

621 Gasoline service stations (554)

622 Miscellaneous vehicle dealers (555, 556, 557, 559)

623-629 Apparel and accessory stores, except shoe (56, except 

 566)

630 Shoe stores (566)

631 Furniture and home furnishings stores (571)

632 Household appliance stores (572)

633-639 Radio, TV, and computer stores (5731, 5734)

640 Music stores (5735, 5736)

641 Eating and drinking places (58)

642-649 Drug stores (591)

650 Liquor stores (592)

651 Sporting goods, bicycles, and hobby stores (5941, 5945, 

 5946)
652-659 Book and stationery stores (5942, 5943)

660 Jewelry stores (5944)

661 Gift, novelty, and souvenir shops (5947)

662 Sewing, needlework and piece goods stores (5949)

663-669 Catalog and mail order houses (5961)

670 Vending machine operators (5962)

671 Direct selling establishments (5963)

672-680 Fuel dealers (598)

681 Retail florists (5992)

682-690 Miscellaneous retail stores (593, 5948, 5993-5995, 5999)

691-699 Not specified retail trade

700-720 FINANCE, INSURANCE, AND REAL ESTATE

700 Banking (60 except 603 and 606)

701 Savings institutions, including credit unions (603, 606)

702-709 Credit agencies, n.e.c. (61)

710 Security, commodity brokerage, and investment companies 

 (62, 67)

711 Insurance (63, 64)

712-720 Real estate, including real estate-insurance offices (65)

721-760 BUSINESS AND REPAIR SERVICES

721 Advertising (731)

722-730 Services to dwellings and other buildings (734)

731 Personnel supply services (736)

732-739 Computer and data processing services (737)

740 Detective and protective services (7381, 7382)

741 Business services, n.e.c. (732, 733, 735, 7383-7389)

742-749 Automotive rental and leasing, without drivers (751)

750 Automotive parking and carwashes (752, 7542)

751 Automotive repair and related services (753, 7549)

752-759 Electrical repair shops (762, 7694)

760 Miscellaneous repair services (763, 764, 7692, 7699)

761-799 PERSONAL SERVICES

761 Private households (88)

762-769 Hotels and motels (701)

770 Lodging places, except hotels and motels (702, 703, 704)

771 Laundry, cleaning, and garment services (721 except part 

 7219)

772-779 Beauty shops (723)

780 Barber shops (724)

781 Funeral service and crematories (726)

782-789 Shoe repair shops (725)

790 Dressmaking shops (part 7219)

791-799 Miscellaneous personal services (722, 729)

800-811 ENTERTAINMENT AND RECREATION SERVICES

800 Theaters and motion pictures (781-783, 792)

801 Video tape rental (784)

802-809 Bowling centers (793)

810-811 Miscellaneous entertainment and recreation services (791, 

 794, 799)
812-899 PROFESSIONAL AND RELATED SERVICES

812-819 Offices and clinics of physicians (801, 803)

820 Offices and clinics of dentists (802)

821 Offices and clinics of chiropractors (8041)

822-829 Offices and clinics of optometrists (8042)

830 Offices and clinics of health practitioners, n.e.c. 

 (8043, 8049)

831 Hospitals (806)

832-839 Nursing and personal care facilities (805)

840 Health services, n.e.c. (807, 808, 809)

841 Legal services (81)

842-849 Elementary and secondary schools (821)

850 Colleges and universities (822)

851 Vocational schools (824)

852-859 Libraries (823)

860 Educational services, n.e.c. (829)

861 Job training and vocational rehabilitation services (833)

862 Child day care services (part 835)

863-869 Family child care homes (part 835)

870 Residential care facilities, without nursing (836)

871 Social services, n.e.c. (832, 839)

872 Museums, art galleries, and zoos (84)

873-879 Labor unions (863)

880 Religious organizations (866)

881 Membership organizations, n.e.c. (861, 862, 864, 865, 

 869)

882-889 Engineering, architectural, and surveying services (871)

890 Accounting, auditing, and bookkeeping services (872)

891 Research, development, and testing services (873)

892 Management and public relations services (874)

893-899 Miscellaneous professional and related services (899)

900-939 PUBLIC ADMINISTRATION

900 Executive and legislative offices (911-913)

901-909 General government, n.e.c. (919)

910-920 Justice, public order, and safety (92)

921 Public finance, taxation, and monetary policy (93)

922-929 Administration of human resources programs (94)

930 Administration of environmental quality and housing 

 programs (95)

931 Administration of economic programs (96)

932-939 National security and international affairs (97)

940-991 ACTIVE DUTY MILITARY

940-959 Armed Forces

940 Army

941 Air Force

942-949 Navy

950 Marines

951 Coast Guard

952-959 Armed Forces, Branch not specified

960-991 Military Reserves or National Guard
992-999 EXPERIENCED UNEMPLOYED NOT CLASSIFIED BY INDUSTRY

992-999 Unemployed, last worked 1984 or earlier

LANGUAGE 

This section contains the code list of languages other than English spoken 

at home. Each entry was given a three-digit code. If more than one 

language was reported, only the first language reported was coded. The 

languages were coded originally into nearly 400 different language 

categories. The following list contains the principal name for each code. 

Since many languages and language groups are known by several names, 

additional illustrative names are shown for some languages. A complete 

list of all reported language names and categories into which they were 

coded may be obtained from the Census Bureau at the cost of reproduction.

000-600 NOT IN UNIVERSE

601 JAMAICAN CREOLE

602 KRIO

603 HAWAIIAN PIDGIN

604 PIDGIN

605 GULLAH

606 SARAMACCA

607 GERMAN

607 Austrian

607 Swiss

608 PENNSYLVANIA DUTCH

609 YIDDISH

610 DUTCH

610 Flemish

611 AFRIKAANS

612 FRISIAN

613 LUXEMBOURGIAN

614 SWEDISH

615 DANISH

616 NORWEGIAN

617 ICELANDIC

618 FAROESE

619 ITALIAN

620 FRENCH

620 Walloon

621 PROVENCAL

622 PATOIS

623 FRENCH CREOLE

623 Haitian Creole

624 CAJUN

625 SPANISH

626 CATALONIAN
627 LADINO

628 PACHUCO

629 PORTUGUESE

630 PAPIA MENTAE

631 RUMANIAN

632 RHAETO-ROMANIC

632 Romansch

633 WELSH

634 BRETON

635 IRISH GAELIC

636 SCOTTIC GAELIC

637 GREEK

638 ALBANIAN

639 RUSSIAN

640 BIELORUSSIAN

641 UKRAINIAN

642 CZECH

643 KASHUBIAN

644 LUSATIAN

644 Sorbian

644 Wendish

645 POLISH

646 SLOVAK

647 BULGARIAN

648 MACEDONIAN

649 SERBOCROATIAN

649 Slavic

649 Yugoslav

650 CROATIAN

651 SERBIAN

652 SLOVENE

653 LITHUANIAN

654 LETTISH

655 ARMENIAN

656 PERSIAN

656 Farsi

656 Pushto

657 PASHTO

657 Afghan

658 KURDISH

659 BALOCHI

660 TADZHIK

661 OSSETE

662 SANSKRIT

663 HINDI AND RELATED

663 Hindi
663 India

663 Urdu

664 BENGALI

665 PANJABI

666 MARATHI

667 GUJARATHI

668 BIHARI

669 RAJASTHANI

670 ORIYA

671 BHILI

672 ASSAMESE

673 KASHMIRI

674 NEPALI

675 SINDHI

676 MALDIVIAN

677 SINHALESE

678 ROMANY

679 FINNISH

680 ESTONIAN

681 LAPP

682 HUNGARIAN

683 OTHER URALIC LANGUAGES

683 Cheremis

683 Mordvin

683 Samoyed

683 Ugric

683 Yenisei

684 CHUVASH

685 KARAKALPAK

686 KAZAKH

687 KIRGHIZ

688 KARACHAY

688 Tatar

689 UIGHUR

689 Uzbek

690 AZERBAIJANI

691 TURKISH

692 TURKMEN

693 YAKUT

694 MONGOLIAN

695 TUNGUS

696 CAUCASIAN

696 Avar

696 Georgian

697 BASQUE

698 DRAVIDIAN

699 BRAHUI

700 GONDI

701 TELUGU
702 KANNADA

703 MALAYALAM

704 TAMIL

705 KURUKH

706 MUNDA

707 BURUSHASKI

708 CHINESE

708 Cantonese

708 Yueh

708 Min

709 HAKKA

709 Fukien

709 K'echia

710 KAN

710 Nan Chang

711 HSIANG

711 Hunan

712 MANDARIN

712 Honan

712 Hopei

712 Pei

713 FUCHOW

713 Min Pei

714 FORMOSAN

714 Min Nan

715 WU

716 TIBETAN

717 BURMESE

717 Tonkin

718 KAREN

719 KACHIN

720 THAI

720 Kam

720 Lao

720 Laotian

720 Tung

721 MIAO-YAO

722 MIAO

722 Hmong

723 JAPANESE

724 KOREAN

725 AINU
726 MON-KHMER

726 Cambodian

726 Khmer

726 Mon

727 SIBERIAN LANGUAGES, not elsewhere classified

728 VIETNAMESE

729 MUONG

730 BUGINESE

731 MOLUCCAN

732 INDONESIAN

733 ACHINESE

734 BALINESE

735 CHAM

736 JAVANESE

737 MADURESE

738 MALAGASY

739 MALAY

740 MINANGKABAU

741 SUNDANESE

742 TAGALOG

742 Filipino

743 BISAYAN

743 Ilongo

744 SEBUANO

745 PANGASINAN

746 ILOCANO

746 Igorot

747 BIKOL

748 PAMPANGAN

749 GORONTALO

750 MICRONESIAN

751 CAROLINIAN

752 CHAMORRO

753 GILBERTESE

754 KUSAIEAN

755 MARSHALLESE

756 MOKILESE

757 MORTLOCKESE

758 NAURUAN

759 PALAU

760 PONAPEAN

761 TRUKESE

762 ULITHEAN

763 WOLEAI-ULITHI

763 Eauripik

763 Ifaluk

764 YAPESE
765 INDO-PACIFIC LANGUAGES, not elsewhere classified

765 Melanesian

766 POLYNESIAN

767 SAMOAN

768 TONGAN

769 NIUEAN

770 TOKELAUAN

771 FIJIAN

772 MARQUESAN

773 RAROTONGAN

774 MAORI

775 NUKUORO

776 HAWAIIAN

777 ARABIC

778 HEBREW

779 SYRIAC

779 Aramaic

779 Assyrian

779 Chaldean

780 AMHARIC

780 Tigre

781 BERBER

782 CHADIC

782 Hamitic

782 Hausa

783 CUSHITE

783 Beja

783 Somali

784 SUDANIC

784 Dinka

784 Gambai

784 Sudanese

785 NILOTIC

785 Acholi

785 Luo

785 Nuer

786 NILO-HAMITIC

786 Bari

786 Masai

787 NUBIAN

788 SAHARAN

789 NILO-SAHARAN

789 Fur

789 Songhai
790 KHOISAN

790 Bushman

791 SWAHILI

792 BANTU

792 Bembe

792 Botswana

792 Chaga

792 Fan

792 Kikuyu

792 Kongo

792 Luganda

792 Naebele

792 Xhosa

792 Zulu

793 MANDE

793 Kpelle

793 Mandingo

794 FULANI

795 GUR

795 Dagomba

796 KRU

796 Damomeen

796 Egbo

796 Ibo

796 Nigerian

796 Yoruba

797 EFIK

797 Ibibio

798 MBUM AND RELATED

799 AFRICAN, not further specified

800 ALEUT

801 PACIFIC GULF YUPIK

801 Pacific Eskimo

802 ESKIMO

803 INUPIK

803 Inuit

804 SAINT LAWRENCE ISLAND YUPIK

805 YUPIK

806 ALGONQUIAN

807 ARAPAHO

808 ATSINA

808 Gros Ventre

809 BLACKFOOT
810 CHEYENNE

811 CREE

812 DELAWARE

812 Lenni-Lenape

813 FOX

813 Sac

814 KICKAPOO

815 MENOMINI

816 FRENCH CREE

816 Metis

817 MIAMI

818 MICMAC

819 OJIBWA

819 Chippewa

820 OTTAWA

821 PASSAMAQUODDY

821 Malecite

822 PENOBSCOT

823 ABNAKI

824 POTAWATOMI

825 SHAWNEE

826 WIYOT

827 YUROK

828 KUTENAI

829 MAKAH

830 KWAKIUTL

830 Quileute

831-832 NOOTKA

833 LOWER CHEHALIS

834 UPPER CHEHALIS

834 Chehalis

834 Satsop

835 CLALLAM

836 COEUR D'ALENE

836 Skitsamish

837 COLUMBIA

837 Chelan

837 Wenatchee

838 COWLITZ

839 SALISH

839 Flathead
840 NOOTSACK

841 OKANOGAN

842 PUGET SOUND SALISH

842 Duwamish

842 Nisqualli

842 Puyallup

842 Skagit

842 Snohomish

842 Suquamish

843 QUINAULT

843 Queets

844 TILLAMOOK

845 TWANA

846 HAIDA

847 ATHAPASCAN

848 AHTENA

849 HAN

850 INGALIT

851 KOYUKON

852 KUCHIN

853 UPPER KUSKOKWIM

854 TANAINA

855 TANANA

855 Minto

856 TANACROSS

857 UPPER TANANA

857 Nabesna

857 Tetlin

858 TUTCHONE

859 CHASTA COSTA

859 Chetco

859 Coquille

859 Smith River Athapascan

860 HUPA

861 OTHER ATHAPASCAN-EYAK LANGUAGES

861 Cahto

861 Mattole

861 Wailaki

862 APACHE

863 KIOWA

864 NAVAHO

865 EYAK

866 TLINGIT

866 Chilkat
866 Sitka

866 Tongass

866 Yakutat

867 MOUNTAIN MAIDU

867 Maidu

868 NORTHWEST MAIDU

868 Concow

869 SOUTHERN MAIDU

869 Nisenan

870 COAST MIWOK

870 Bodega

870 Marin

871 PLAINS MIWOK

872 SIERRA MIWOK

872 Miwok

873 NOMLAKI

873 Tehama

874 PATWIN

874 Colouse

874 Suisun

875 WINTUN

876 FOOTHILL NORTH YOKUTS

877 TACHI

878 SANTIAM

878 Calapooya

878 Wapatu

879 SIUSLAW

879 Coos

879 Lower Umpqua

880 KLAMATH

880 Modoc

881 NEZ PERCE

882 SAHAPTIAN

882 Celilo

882 Klikitat

882 Palouse

882 Tenino

882 Umatilla

882 Warm Springs

882 Yakima

883 UPPER CHINOOK

883 Chinook

883 Clackamas
883 Multnomah

883 Wasco

883 Wishram

884 TSIMSHIAN

885 ACHUMAWI

886 ATSUGEWI

887 KAROK

888 POMO

889 SHASTAN

890 WASHO

891 UP RIVER YUMAN

892 COCOMARICOPA

893 MOHAVE

894 YUMA

895 DIEGUENO

896 DELTA RIVER YUMAN

897 UPLAND YUMAN

898 HAVASUPAI

899 WALAPAI

900 YAVAPAI

901 CHUMASH

902 TONKAWA

903 YUCHI

904 CROW

904 Absaroke

905 HIDATSA

906 MANDAN

907 DAKOTA

907 Brule

907 Lakota

907 Oglala

907 Sioux

908 CHIWERE

909 WINNEBAGO

910 KANSA

910 Kaw

911 OMAHA

912 OSAGE

913 PONCA

914 QUAPAW

914 Arkansas

915 ALABAMA

916 CHOCTAW

916 Chickasaw

917 MIKASUKI
918 HICHITA

918 Apalachicola

919 KOASATI

920 MUSKOGEE

920 Creek

920 Seminole

921 CHETEMACHA

922 YUKI

923 WAPPO

924 KERES

925 IROQUOIS

926 MOHAWK

927 ONEIDA

928 ONONDAGA

929 CAYUGA

930 SENECA

931 TUSCARORA

932 WYANDOT

932 Huron

933 CHEROKEE

934 ARIKARA

935 CADDO

936 PAWNEE

937 WICHITA

938 COMANCHE

939 MONO

939 Owens Valley Paiute

940 PAIUTE

941 NORTHERN PAIUTE

941 Bannock

941 Num

941 Snake

942 SOUTHERN PAIUTE

943 CHEMEHUEVI

944 KAWAIISU

945 UTE

946 SHOSHONI

947 PANAMINT

948 HOPI

949 CAHUILLA

950 CUPENO

951 LUISENO

952 SERRANO

953 TUBATULABAL

954 PIMA

954 Papago

955 YAQUI
956 AZTECAN

956 Mexicano

956 Nahua

957-958 SONORAN, not elsewhere classified

957 Cahita

957 Guasave

957 Huichole

957 Nayit

957-958 Tarahumara

959 PICURIS

959 Northern Tiwa

959 Taos

960 TIWA

960 Isleta

960 Ysleta

961 SANDIA

962 TEWA

962 Hano

962 Hopi-Tewa

962 San Ildefonso

962 San Juan

962 Santa Clara

963 TOWA

964 ZUNI

965 CHINOOK JARGON

966 AMERICAN INDIAN

967 MISUMALPAN

967 Matagalpa

967 Miskito

967 Sumu

968 MAYAN LANGUAGES

968 Cakchiquel

968 Chol

968 Guastec

968 Guatemala

968 Ixil

968 Kechi

968 Mam

968 Maya

968 Queche

968 Yucateca

969 TARASCAN

970 MAPUCHE

970 Araucanian

970 Chilote
971 OTO-MANGUEN

971 Ixatec

971 Mixtec

971 Otomi

971 Popoloc

971 Zapoteca

972 QUECHUA

973 AYMARA

974 ARAWAKIAN

974 Araua

974 Carib

974 Guajiro

974 Kitemoca

974 Tatu

975 CHIBCHAN

975 Boruca

975 Cuna

975 Guaymi

975 Ica

976 TUPI-GUARANI

976 Guajibo

976 Guarani

976 Siriono

977 JICARILLA

977 Lipan

978 CHIRICAHUA

978 Mescalero

979 SAN CARLOS

979 Cibecue

979 San Carlos

979 San Carlos Apache

979 White Mountain

980 KIOWA-APACHE

981 KALISPEL

982 SPOKANE

983-998 LANGUAGE SPECIFIED, NOT LISTED

999 NOT REPORTED

OCCUPATION

The list presents the occupational classification developed for the 

1990 Census of Population and Housing. There are 500 categories for 

the employed with 1 additional category for the experienced unemployed 

and 3 additional categories for the Armed Forces. These categories are 

grouped into 6 summary groups and 13 major groups. The classification 

is developed from the 1980 Standard Occupational Classification. 

“n.e.c.” is the abbreviation for not elsewhere classified.
000-202 MANAGERIAL AND PROFESSIONAL SPECIALTY OCCUPATIONS

000-042 Executive, Administrative, and Managerial Occupations

000-003 Legislators (111)

004 Chief executives and general administrators, public 

 administration (112)

005 Administrators and officials, public administration (1132-

 1139)

006 Administrators, protective services (1131)

007 Financial managers (122)

008 Personnel and labor relations managers (123)

009-012 Purchasing managers (124)

013 Managers, marketing, advertising, and public relations (125)

014 Administrators, education and related fields (128)

015 Managers, medicine and health (131)

016 Postmasters and mail superintendents (1344)

017 Managers, food serving and lodging establishments (1351)

018 Managers, properties and real estate (1353)

019-020 Funeral directors (part 1359)

021 Managers, service organizations, n.e.c. (127, 1352, 1354, 

 part 1359)

022 Managers and administrators, n.e.c. (121, 126, 132-1343, 

 136-139)

023-042 Management Related Occupations

023 Accountants and auditors (1412)

024 Underwriters (1414)

025 Other financial officers (1415, 1419)

026 Management analysts (142)

027 Personnel, training, and labor relations specialists (143)

028 Purchasing agents and buyers, farm products (1443)

029-032 Buyers, wholesale and retail trade except farm products 

 (1442)

033 Purchasing agents and buyers, n.e.c. (1449)

034 Business and promotion agents (145)

035 Construction inspectors (1472)

036 Inspectors and compliance officers, except construction 

 (1473)

037-042 Management related occupations, n.e.c. (149)

043-202 Professional Specialty Occupations

043-063 Engineers, Architects, and Surveyors

043 Architects (161)

044-062 Engineers

044 Aerospace (1622)

045 Metallurgical and materials (1623)

046 Mining (1624)

047 Petroleum (1625)

048 Chemical (1626)

049-052 Nuclear (1627)

053 Civil (1628)

054 Agricultural (1632)

055 Electrical and electronic (1633, 1636)

056 Industrial (1634)

057 Mechanical (1635)
058 Marine and naval architects (1637)

059-062 Engineers, n.e.c. (1639)

063 Surveyors and mapping scientists (164)

064-068 Mathematical and Computer Scientists

064 Computer systems analysts and scientists (171)

065 Operations and systems researchers and analysts (172)

066 Actuaries (1732)

067 Statisticians (1733)

068 Mathematical scientists, n.e.c. (1739)

069-083 Natural Scientists

069-072 Physicists and astronomers (1842, 1843)

073 Chemists, except biochemists (1845)

074 Atmospheric and space scientists (1846)

075 Geologists and geodesists (1847)

076 Physical scientists, n.e.c. (1849)

077 Agricultural and food scientists (1853)

078 Biological and life scientists (1854)

079-082 Forestry and conservation scientists (1852)

083 Medical scientists (1855)

084-094 Health Diagnosing Occupations

084 Physicians (261)

085 Dentists (262)

086 Veterinarians (27)

087 Optometrists (281)

088 Podiatrists (283)

089-094 Health diagnosing practitioners, n.e.c. (289)

095-112 Health Assessment and Treating Occupations

095 Registered nurses (29)

096 Pharmacists (301)

097 Dietitians (302)

098-105 Therapists

098 Respiratory therapists (3031)

099-102 Occupational therapists (3032)

103 Physical therapists (3033)

104 Speech therapists (3034)

105 Therapists, n.e.c. (3039)

106-112 Physicians' assistants (304)

113-154 Teachers, Postsecondary

113 Earth, environmental, and marine science teachers (2212)

114 Biological science teachers (2213)

115 Chemistry teachers (2214)

116 Physics teachers (2215)

117 Natural science teachers, n.e.c. (2216)

118 Psychology teachers (2217)

119-122 Economics teachers (2218)

123 History teachers (2222)

124 Political science teachers (2223)

125 Sociology teachers (2224)

126 Social science teachers, n.e.c. (2225)

127 Engineering teachers (2226)

128 Mathematical science teachers (2227)

129-132 Computer science teachers (2228)
133 Medical science teachers (2231)

134 Health specialties teachers (2232)

135 Business, commerce, and marketing teachers (2233)

136 Agriculture and forestry teachers (2234)

137 Art, drama, and music teachers (2235)

138 Physical education teachers (2236)

139-142 Education teachers (2237)

143 English teachers (2238)

144 Foreign language teachers (2242)

145 Law teachers (2243)

146 Social work teachers (2244)

147 Theology teachers (2245)

148 Trade and industrial teachers (2246)

149-152 Home economics teachers (2247)

153 Teachers, postsecondary, n.e.c. (2249)

154 Postsecondary teachers, subject not specified

155-162 Teachers, Except Postsecondary

155 Teachers, prekindergarten and kindergarten (231)

156 Teachers, elementary school (232)

157 Teachers, secondary school (233)

158 Teachers, special education (235)

159-162 Teachers, n.e.c. (236, 239)

163 Counselors, Educational and Vocational (24)

164-165 Librarians, Archivists, and Curators

164 Librarians (251)

165 Archivists and curators (252)

166-173 Social Scientists and Urban Planners

166 Economists (1912)

167 Psychologists (1915)

168 Sociologists (1916)

169-172 Social scientists, n.e.c. (1913, 1914, 1919)

173 Urban planners (192)

174-177 Social, Recreation, and Religious Workers

174 Social workers (2032)

175 Recreation workers (2033)

176 Clergy (2042)

177 Religious workers, n.e.c. (2049)

178-182 Lawyers and Judges

178 Lawyers (211)

179-182 Judges (212)

183-202 Writers, Artists, Entertainers, and Athletes

183 Authors (321)

184 Technical writers (398)

185 Designers (322)

186 Musicians and composers (323)

187 Actors and directors (324)

188 Painters, sculptors, craft-artists, and artist printmakers 

 (325)

189-192 Photographers (326)

193 Dancers (327)
194 Artists, performers, and related workers, n.e.c. (328, 329)

195-196 Editors and reporters (331)

197 Public relations specialists (332)

198 Announcers (333)

199-202 Athletes (34)

 

203-402 TECHNICAL, SALES, AND ADMINISTRATIVE SUPPORT OCCUPATIONS

203-242 Technicians and Related Support Occupations

203-212 Health Technologists and Technicians

203 Clinical laboratory technologists and technicians (362)

204 Dental hygienists (363)

205 Health record technologists and technicians (364)

206 Radiologic technicians (365)

207 Licensed practical nurses (366)

208-212 Health technologists and technicians, n.e.c. (369)

213-242 Technologists and Technicians, Except Health

213-222 Engineering and Related Technologists and Technicians

213 Electrical and electronic technicians (3711)

214 Industrial engineering technicians (3712)

215 Mechanical engineering technicians (3713)

216 Engineering technicians, n.e.c. (3719)

217 Drafting occupations (372)

218-222 Surveying and mapping technicians (373)

223-225 Science Technicians

223 Biological technicians (382)

224 Chemical technicians (3831)

225 Science technicians, n.e.c. (3832, 3833, 384, 389)

226-242 Technicians, Except Health, Engineering, and Science

226 Airplane pilots and navigators (825)

227 Air traffic controllers (392)

228 Broadcast equipment operators (393)

229-232 Computer programmers (3971, 3972)

233 Tool programmers, numerical control (3974)

234 Legal assistants (396)

235-242 Technicians, n.e.c. (399)

243-302 Sales Occupations

243-252 Supervisors and Proprietors, Sales Occupations (40)

253-257 Sales Representatives, Finance and Business Services

253 Insurance sales occupations (4122)

254 Real estate sales occupations (4123)

255 Securities and financial services sales occupations (4124)

256 Advertising and related sales occupations (4153)

257 Sales occupations, other business services (4152)

258-262 Sales Representatives, Commodities, Except Retail

258 Sales engineers (421)

259-262 Sales representatives, mining, manufacturing, and wholesale 

 (423, 424)

263-282 Sales Workers, Retail and Personal Services

263 Sales workers, motor vehicles and boats (4342, 4344)
264 Sales workers, apparel (4346)

265 Sales workers, shoes (4351)

266 Sales workers, furniture and home furnishings (4348)

267 Sales workers, radio, TV, hi-fi, and appliances (4343, 4352)

268 Sales workers, hardware and building supplies (4353)

269-273 Sales workers, parts (4367)

274 Sales workers, other commodities (4345, 4347, 4354, 4356, 

 4359, 4362, 4369)

275 Sales counter clerks (4363)

276 Cashiers (4364)

277 Street and door-to-door sales workers (4366)

278-282 News vendors (4365)

283-302 Sales Related Occupations

283 Demonstrators, promoters and models, sales (445)

284 Auctioneers (447)

285-302 Sales support occupations, n.e.c. (444, 446, 449)

303-402 Administrative Support Occupations, Including Clerical

303-307 Supervisors, Administrative Support Occupations

303 Supervisors, general office (4511, 4513, 4514, 4516, 4519, 

 4529)

304 Supervisors, computer equipment operators (4512)

305 Supervisors, financial records processing (4521)

306 Chief communications operators (4523)

307 Supervisors, distribution, scheduling, and adjusting clerks 

 (4522, 4524-4528)

308-312 Computer Equipment Operators

308 Computer operators (4612)

309-312 Peripheral equipment operators (4613)

313-315 Secretaries, Stenographers, and Typists

313 Secretaries (4622)

314 Stenographers (4623)

315 Typists (4624)

316-324 Information Clerks

316 Interviewers (4642)

317 Hotel clerks (4643)

318 Transportation ticket and reservation agents (4644)

319-322 Receptionists (4645)

323-324 Information clerks, n.e.c. (4649)

325-336 Records Processing Occupations, Except Financial

325 Classified-ad clerks (4662)

326 Correspondence clerks (4663)

327 Order clerks (4664)

328 Personnel clerks, except payroll and timekeeping (4692)

329-334 Library clerks (4694)

335 File clerks (4696)

336 Records clerks (4699)

337-344 Financial Records Processing Occupations

337 Bookkeepers, accounting, and auditing clerks (4712)

338 Payroll and timekeeping clerks (4713)
339-342 Billing clerks (4715)

343 Cost and rate clerks (4716)

344 Billing, posting, and calculating machine operators (4718)

345-347 Duplicating, Mail and Other Office Machine Operators

345 Duplicating machine operators (4722)

346 Mail preparing and paper handling machine operators (4723)

347 Office machine operators, n.e.c. (4729)

348-353 Communications Equipment Operators

348-352 Telephone operators (4732)

353 Communications equipment operators, n.e.c. (4733, 4739)

354-358 Mail and Message Distributing Occupations

354 Postal clerks, except mail carriers (4742)

355 Mail carriers, postal service (4743)

356 Mail clerks, except postal service (4744)

357-358 Messengers (4745)

359-374 Material Recording, Scheduling, and Distributing Clerks

359-362 Dispatchers (4751)

363 Production coordinators (4752)

364 Traffic, shipping, and receiving clerks (4753)

365 Stock and inventory clerks (4754)

366 Meter readers (4755)

368-372 Weighers, measurers, checkers, and samplers (4756, 4757)

373 Expediters (4758)

374 Material recording, scheduling, and distributing clerks, 

 n.e.c. (4759)

375-378 Adjusters and Investigators

375 Insurance adjusters, examiners, and investigators (4782)

376 Investigators and adjusters, except insurance (4783)

377 Eligibility clerks, social welfare (4784)

378 Bill and account collectors (4786)

379-402 Miscellaneous Administrative Support Occupations

379-382 General office clerks (463)

383 Bank tellers (4791)

384 Proofreaders (4792)

385 Data-entry keyers (4793)

386 Statistical clerks (4794)

387-388 Teachers' aides (4795)

389-402 Administrative support occupations, n.e.c. (4787, 4799)

403-472 SERVICE OCCUPATIONS

403-412 Private Household Occupations

403 Launderers and ironers (503)

404 Cooks, private household (504)

405 Housekeepers and butlers (505)

406 Child care workers, private household (506)

407-412 Private household cleaners and servants (502, 507, 509)

413-432 Protective Service Occupations

413-415 Supervisors, Protective Service Occupations

413 Supervisors, firefighting and fire prevention occupations 
 (5111)

414 Supervisors, police and detectives (5112)

415 Supervisors, guards (5113)

416-417 Firefighting and Fire Prevention Occupations

416 Fire inspection and fire prevention occupations (5122)

417 Firefighting occupations (5123)

418-424 Police and Detectives

418-422 Police and detectives, public service (5132)

423 Sheriffs, bailiffs, and other law enforcement officers (5134)

424 Correctional institution officers (5133)

425-432 Guards

425 Crossing guards (5142)

426 Guards and police, except public service (5144)

427-432 Protective service occupations, n.e.c. (5149)

433-472 Service Occupations, Except Protective and Household

433-444 Food Preparation and Service Occupations

433 Supervisors, food preparation and service occupations (5211)

434 Bartenders (5212)

435 Waiters and waitresses (5213)

436-437 Cooks (5214, 5215)

438 Food counter, fountain and related occupations (5216)

439-442 Kitchen workers, food preparation (5217)

443 Waiters'/waitresses' assistants (5218)

444 Miscellaneous food preparation occupations (5219)

445-447 Health Service Occupations

445 Dental assistants (5232)

446 Health aides, except nursing (5233)

447 Nursing aides, orderlies, and attendants (5236)

448-455 Cleaning and Building Service Occupations, Except Household

448 Supervisors, cleaning and building service workers (5241)

449-452 Maids and housemen (5242, 5249)

453 Janitors and cleaners (5244)

454 Elevator operators (5245)

455 Pest control occupations (5246)

456-472 Personal Service Occupations

456 Supervisors, personal service occupations (5251)

457 Barbers (5252)

458 Hairdressers and cosmetologists (5253)

459-460 Attendants, amusement and recreation facilities (5254)

461 Guides (5255)

462 Ushers (5256)

463 Public transportation attendants (5257)

464 Baggage porters and bellhops (5262)

465 Welfare service aides (5263)

466 Family child care providers (part 5264)

467 Early childhood teacher's assistants (part 5264)

468 Child care workers, n.e.c. (part 5264)

469-472 Personal service occupations, n.e.c. (5258, 5269)

473-476 Farm Operators and Managers

473 Farmers, except horticultural (5512-5514)
474 Horticultural specialty farmers (5515)

475 Managers, farms, except horticultural (5522-5524)

476 Managers, horticultural specialty farms (5525)

477-493 Other Agricultural and Related Occupations

477-484 Farm Occupations, Except Managerial

477-478 Supervisors, farm workers (5611)

479-482 Farm workers (5612-5617)

483 Marine life cultivation workers (5618)

484 Nursery workers (5619)

485-493 Related Agricultural Occupations

485 Supervisors, related agricultural occupations (5621)

486 Groundskeepers and gardeners, except farm (5622)

487 Animal caretakers, except farm (5624)

488 Graders and sorters, agricultural products (5625)

489-493 Inspectors, agricultural products (5627)

494-496 Forestry and Logging Occupations

494 Supervisors, forestry and logging workers (571)

495 Forestry workers, except logging (572)

496 Timber cutting and logging occupations (573, 579)

497-502 Fishers, Hunters, and Trappers

497 Captains and other officers, fishing vessels (part 8241)

498 Fishers (583)

499-502 Hunters and trappers (584)

503-702 PRECISION PRODUCTION, CRAFT, AND REPAIR OCCUPATIONS

503-552 Mechanics and Repairers

503-504 Supervisors, mechanics and repairers (60)

505-552 Mechanics and Repairers, Except Supervisors

505-517 Vehicle and Mobile Equipment Mechanics and Repairers

505-506 Automobile mechanics (part 6111)

506 Automobile mechanic apprentices (part 6111)

507 Bus, truck, and stationary engine mechanics (6112)

508 Aircraft engine mechanics (6113)

509-513 Small engine repairers (6114)

514 Automobile body and related repairers (6115)

515 Aircraft mechanics, except engine (6116)

516 Heavy equipment mechanics (6117)

517 Farm equipment mechanics (6118)

518 Industrial machinery repairers (613)

519-522 Machinery maintenance occupations (614)

523-533 Electrical and Electronic Equipment Repairers

523-524 Electronic repairers, communications and industrial 

 equipment (6151, 6153, 6155)

525 Data processing equipment repairers (6154)

526 Household appliance and power tool repairers (6156)

527-528 Telephone line installers and repairers (6157)

529-532 Telephone installers and repairers (6158)

533 Miscellaneous electrical and electronic equipment repairers 

 (6152, 6159)
534 Heating, air conditioning, and refrigeration mechanics (616)

535-552 Miscellaneous Mechanics and Repairers

535 Camera, watch, and musical instrument repairers (6171, 

 6172)

536-537 Locksmiths and safe repairers (6173)

538 Office machine repairers (6174)

539-542 Mechanical controls and valve repairers (6175)

543 Elevator installers and repairers (6176)

544-546 Millwrights (6178)

547-548 Specified mechanics and repairers, n.e.c. (6177, 6179)

549-552 Not specified mechanics and repairers

553-612 Construction Trades

553-562 Supervisors, Construction Occupations

553 Supervisors, brickmasons, stonemasons, and tile setters 

 (6312)

554 Supervisors, carpenters and related workers (6313)

555 Supervisors, electricians and power transmission installers 

 (6314)

556 Supervisors, painters, paperhangers, and plasterers (6315)

557 Supervisors, plumbers, pipefitters, and steamfitters (6316)

558-562 Supervisors, construction, n.e.c. (6311, 6318)

563-612 Construction Trades, Except Supervisors

563-564 Brickmasons and stonemasons (part 6412, part 6413)

564 Brickmason and stonemason apprentices (part 6412, part 

 6413)

565 Tile setters, hard and soft (part 6414, part 6462)

566 Carpet installers (part 6462)

567-572 Carpenters (part 6422)

569-572 Carpenter apprentices (part 6422)

573-574 Drywall installers (6424)

575-576 Electricians (part 6432)

576 Electrician apprentices (part 6432)

577-578 Electrical power installers and repairers (6433)

579-582 Painters, construction and maintenance (6442)

583 Paperhangers (6443)

584 Plasterers (6444)

585-587 Plumbers, pipefitters, and steamfitters (part 645)

587 Plumber, pipefitter, and steamfitter apprentices (part 645)

588 Concrete and terrazzo finishers (6463)

589-592 Glaziers (6464)

593 Insulation workers (6465)

594 Paving, surfacing, and tamping equipment operators (6466)

595 Roofers (6468)

596 Sheetmetal duct installers (6472)

597 Structural metal workers (6473)

598 Drillers, earth (6474)

599-612 Construction trades, n.e.c. (6467, 6475, 6476, 6479)

613-627 Extractive Occupations

613 Supervisors, extractive occupations (632)

614 Drillers, oil well (652)

615 Explosives workers (653)
616 Mining machine operators (654)

617-627 Mining occupations, n.e.c. (656)

628-702 Precision Production Occupations

628-633 Supervisors, production occupations (67, 71)

634-655 Precision Metal Working Occupations

634-635 Tool and die makers (part 6811)

635 Tool and die maker apprentices (part 6811)

636 Precision assemblers, metal (6812)

637-642 Machinists (part 6813)

639-642 Machinist apprentices (part 6813)

643 Boilermakers (6814)

644 Precision grinders, filers, and tool sharpeners (6816)

645 Patternmakers and model makers, metal (6817)

646 Lay-out workers (6821)

647-648 Precious stones and metals workers (Jewelers) (6822, 6866)

649-652 Engravers, metal (6823)

653-654 Sheet metal workers (part 6824)

654 Sheet metal worker apprentices (part 6824)

655 Miscellaneous precision metal workers (6829)

656-665 Precision Woodworking Occupations

656 Patternmakers and model makers, wood (6831)

657 Cabinet makers and bench carpenters (6832)

658 Furniture and wood finishers (6835)

659-665 Miscellaneous precision woodworkers (6839)

666-674 Precision Textile, Apparel, and Furnishings Machine Workers

666 Dressmakers (part 6852, part 7752)

667 Tailors (part 6852)

668 Upholsterers (6853)

669-673 Shoe repairers (6854)

674 Miscellaneous precision apparel and fabric workers (6856, 

 6859, part 7752)

675-685 Precision Workers, Assorted Materials

675 Hand molders and shapers, except jewelers (6861)

676 Patternmakers, lay-out workers, and cutters (6862)

677 Optical goods workers (6864, part 7477, part 7677)

678 Dental laboratory and medical appliance technicians (6865)

679-682 Bookbinders (6844)

683 Electrical and electronic equipment assemblers (6867)

684-685 Miscellaneous precision workers, n.e.c. (6869)

686-688 Precision Food Production Occupations

686 Butchers and meat cutters (6871)

687 Bakers (6872)

688 Food batchmakers (6873, 6879)

689-693 Precision Inspectors, Testers, and Related Workers

689-692 Inspectors, testers, and graders (6881, 828)

693 Adjusters and calibrators (6882)

694-702 Plant and System Operators

694 Water and sewage treatment plant operators (691)

695 Power plant operators (part 693)

696-698 Stationary engineers (part 693, 7668)

699-702 Miscellaneous plant and system operators (692, 694, 695, 696)
703-902 OPERATORS, FABRICATORS, AND LABORERS

703-802 Machine Operators, Assemblers, and Inspectors

703-782 Machine Operators and Tenders, Except Precision

703-716 Metal Working and Plastic Working Machine Operators

703 Lathe and turning machine set-up operators (7312)

704 Lathe and turning machine operators (7512)

705 Milling and planing machine operators (7313, 7513)

706 Punching and stamping press machine operators (7314, 7317, 

 7514, 7517)

707 Rolling machine operators (7316, 7516)

708 Drilling and boring machine operators (7318, 7518)

709-712 Grinding, abrading, buffing, and polishing machine 

 operators (7322, 7324, 7522)

713 Forging machine operators (7319, 7519)

714 Numerical control machine operators (7326)

715-716 Miscellaneous metal, plastic, stone, and glass working 

 achine operators (7329, 7529)

717-718 Fabricating machine operators, n.e.c. (7339, 7539)

719-725 Metal and Plastic Processing Machine Operators

719-722 Molding and casting machine operators (7315, 7342, 7515, 

 7542)

723 Metal plating machine operators (7343, 7543)

724 Heat treating equipment operators (7344, 7544)

725 Miscellaneous metal and plastic processing machine operators 

 (7349, 7549)

726-733 Woodworking Machine Operators

726 Wood lathe, routing, and planing machine operators (7431, 

 7432, 7631, 7632)

727 Sawing machine operators (7433, 7633)

728 Shaping and joining machine operators (7435, 7635)

729-732 Nailing and tacking machine operators (7636)

733 Miscellaneous woodworking machine operators (7434, 7439, 

 7634, 7639)

734-737 Printing Machine Operators

734 Printing press operators (7443, 7643)

735 Photoengravers and lithographers (6842, 7444, 7644)

736 Typesetters and compositors (6841, 7642)

737 Miscellaneous printing machine operators (6849, 7449, 7649)

738-752 Textile, Apparel, and Furnishings Machine Operators

738 Winding and twisting machine operators (7451, 7651)

739-742 Knitting, looping, taping, and weaving machine operators 

 (7452, 7652)

743 Textile cutting machine operators (7654)

744 Textile sewing machine operators (7655)

745-746 Shoe machine operators (7656)

747 Pressing machine operators (7657)

748 Laundering and dry cleaning machine operators (6855, 7658)

749-752 Miscellaneous textile machine operators (7459, 7659)
753-782 Machine Operators, Assorted Materials

753 Cementing and gluing machine operators (7661)

754 Packaging and filling machine operators (7462, 7662)

755 Extruding and forming machine operators (7463, 7663)

756 Mixing and blending machine operators (7664)

757 Separating, filtering, and clarifying machine operators 

 (7476, 7666, 7676)

758 Compressing and compacting machine operators (7467, 7667)

759-762 Painting and paint spraying machine operators (7669)

763 Roasting and baking machine operators, food (7472, 7672)

764 Washing, cleaning, and pickling machine operators (7673)

765 Folding machine operators (7474, 7674)

766-767 Furnace, kiln, and oven operators, except food (7675)

768 Crushing and grinding machine operators (part 7477, part 

 7677)

769-772 Slicing and cutting machine operators (7478, 7678)

773 Motion picture projectionists (part 7479)

774-776 Photographic process machine operators (6863, 6868, 7671)

777-778 Miscellaneous machine operators, n.e.c. (part 7479, 7665, 

 7679)

779-782 Machine operators, not specified

783-795 Fabricators, Assemblers, and Hand Working Occupations

783 Welders and cutters (7332, 7532, 7714)

784 Solderers and brazers (7333, 7533, 7717)

785 Assemblers (772, 774)

786 Hand cutting and trimming occupations (7753)

787-788 Hand molding, casting, and forming occupations (7754, 7755)

789-792 Hand painting, coating, and decorating occupations (7756)

793-794 Hand engraving and printing occupations (7757)

795 Miscellaneous hand working occupations (7758, 7759)

796-802 Production Inspectors, Testers, Samplers, and Weighers

796 Production inspectors, checkers, and examiners (782, 787)

797 Production testers (783)

798 Production samplers and weighers (784)

799-802 Graders and sorters, except agricultural (785)

803-863 Transportation and Material Moving Occupations

803-822 Motor Vehicle Operators

803 Supervisors, motor vehicle operators (8111)

804-805 Truck drivers (8212-8214)

806-807 Driver-sales workers (8218)

808 Bus drivers (8215)

809-812 Taxicab drivers and chauffeurs (8216)

813 Parking lot attendants (874)

814-822 Motor transportation occupations, n.e.c. (8219)

823-842 Transportation Occupations, Except Motor Vehicles

823-827 Rail Transportation Occupations

823 Railroad conductors and yardmasters (8113)

824 Locomotive operating occupations (8232)

825 Railroad brake, signal, and switch operators (8233)

826-827 Rail vehicle operators, n.e.c. (8239)

828-842 Water Transportation Occupations

828 Ship captains and mates, except fishing boats (part 8241, 

 8242)

829-832 Sailors and deckhands (8243)
833 Marine engineers (8244)

834-842 Bridge, lock, and lighthouse tenders (8245)

843-863 Material Moving Equipment Operators

843 Supervisors, material moving equipment operators (812)

844 Operating engineers (8312)

845-847 Longshore equipment operators (8313)

848 Hoist and winch operators (8314)

849-852 Crane and tower operators (8315)

853-854 Excavating and loading machine operators (8316)

855 Grader, dozer, and scraper operators (8317)

856-858 Industrial truck and tractor equipment operators (8318)

859-863 Miscellaneous material moving equipment operators (8319)

864-902 Handlers, Equipment Cleaners, Helpers, and Laborers

864 Supervisors, handlers, equipment cleaners, and laborers, n.e.c. 

 (85)

865 Helpers, mechanics, and repairers (863)

866-868 Helpers, Construction, and Extractive Occupations

866 Helpers, construction trades (8641-8645, 8648)

867 Helpers, surveyor (8646)

868 Helpers, extractive occupations (865)

869-873 Construction laborers (871)

874 Production helpers (861, 862)

875-884 Freight, Stock, and Material Handlers

875 Garbage collectors (8722)

876 Stevedores (8723)

877 Stock handlers and baggers (8724)

878-882 Machine feeders and offbearers (8725)

883-884 Freight, stock, and material handlers, n.e.c. (8726)

885-886 Garage and service station related occupations (873)

887 Vehicle washers and equipment cleaners (875)

888 Hand packers and packagers (8761)

889-902 Laborers, except construction (8769)

903-908 MILITARY OCCUPATIONS (Includes only uniquely military 

 occupations.

 Other Armed Forces members are coded to civilian occupations.)

903 Commissioned officers and warrant officers

904 Non-commissioned officers and other enlisted personnel

905-908 Military occupation, rank not specified

909-999 EXPERIENCED UNEMPLOYED NOT CLASSIFIED BY OCCUPATION

909-999 Unemployed, last worked 1984 or earlier

PLACE OF BIRTH

This section contains the code list for place of birth. An alphabetical 

list of U.S. States and territories, foreign countries, and other areas was 

used to assign a three-digit code to the birthplace reported by each 

person. The alphabetical list used in coding included abbreviations and 

alternate names, including some historical names for countries and names of 

States, provinces, counties, or other subdivisions of countries.
The following list does not include any of these alternate names, but does 

include continent and area names used as defaults if a specific country was 

not named but a broader region or area of birth was reported. The names 

for foreign countries shown on this list and in the publications reflect 

the most commonly used names in this country, not their official or legal 

names. Each entry shown on the following list has a unique code.

The U.S. States and territories were assigned their Federal Information 

Processing Standards (FIPS) code preceded by a zero. For foreign 

countries, codes were generally assigned by listing the countries or areas 

in alphabetical order (followed by default codes) within eight broad 

continent or regional areas: (1) Europe, (2) Asia, (3) North America, (4) 

Central America, (5) Caribbean, (6) South America, (7) Africa, and (8) 

Oceania. The entries for the USSR and the Baltic States are listed 

following the other entries for Europe for convenience in combining with 

either Europe or Asia. The entries for Germany also do not follow strict 

alphabetical order; codes 110-114 can be combined to tabulate an overall 

figure including Germany (not specified), East Germany, West Germany, and 

Berlin. The entries for the United Kingdom also do not follow strict 

alphabetical order; codes 138-145 can be combined to tabulate an overall 

figure including United Kingdom (not specified), England, Scotland, Wales, 

Northern Ireland, Guernsey, Jersey, and the Isle of Man. The codes for 

Asia also include a code for Korea (not specified) since it is often 

reported in that fashion.

001-059 United States

001 Alabama

002-003 Alaska

004 Arizona

005 Arkansas

006-007 California

008 Colorado

009 Connecticut

010 Delaware

011 District of Columbia

012 Florida

013-014 Georgia

015 Hawaii

016 Idaho

017 Illinois

018 Indiana

019 Iowa

020 Kansas

021 Kentucky

022 Louisiana

023 Maine

024 Maryland

025 Massachusetts

026 Michigan

027 Minnesota

028 Mississippi

029 Missouri

030 Montana

031 Nebraska

032 Nevada

033 New Hampshire

034 New Jersey
035 New Mexico

036 New York

037 North Carolina

038 North Dakota

039 Ohio

040 Oklahoma

041 Oregon

042-043 Pennsylvania

044 Rhode Island

045 South Carolina

046 South Dakota

047 Tennessee

048 Texas

049 Utah

050 Vermont

051-052 Virginia

053 Washington

054 West Virginia

055 Wisconsin

056-059 Wyoming

060-099 U.S. Outlying Areas and

 Puerto Rico

060-065 American Samoa

066 Guam

067-068 Johnston Atoll

069-070 Northern Mariana Islands

071 Midway Islands

072-075 Puerto Rico

076-077 Navassa Island

078 U.S. Virgin Islands

079-080 Wake Island

081-083 Baker Island

084-085 Howland Island

086-088 Jarvis Island

089-094 Kingman Reef

095 Palmyra Atoll

096-099 U.S. territory, not specified

100-199 Europe

100 Albania

101 Andorra

102 Austria

103 Belgium

104 Bulgaria

105 Czechoslovakia

106 Denmark

107 Faroe Islands

108 Finland

109 France

110 Germany, not specified

111 West Germany

112 West Berlin

113 East Berlin

114 East Germany
115 Gibraltar

116 Greece

117 Hungary

118 Iceland

119 Ireland

120 Italy

121 Jan Mayen

122 Liechtenstein

123 Luxembourg

124 Malta

125 Monaco

126 Netherlands

127 Norway

128 Poland

129 Portugal

130 Azores Islands

131 Madeira Islands

132 Romania

133 San Marino

134 Spain

135 Svalbard

136 Sweden

137 Switzerland

138 United Kingdom, not specified

139 England

140 Scotland

141 Wales

142 Northern Ireland

143 Guernsey

144 Jersey

145 Isle of Man

146 Vatican City

147 Yugoslavia

148 Europe, not specified

149 Central Europe, not specified

150 Eastern Europe, not specified

151 Lapland, not specified

152 Northern Europe, not specified

153 Southern Europe, not specified

154-179 Western Europe, not specified

180 Union of Soviet Socialist Republics (USSR)

181 Baltic States, not specified

182 Estonia

183 Latvia

184-199 Lithuania

200-299 Asia

200 Afghanistan

201 Bahrain

202 Bangladesh

203 Bhutan

204 Brunei

205 Burma

206 Cambodia

207 China

208 Cyprus
209 Hong Kong

210 India

211 Indonesia

212 Iran

213 Iraq

214 Israel

215 Japan

216 Jordan

217 Korea, not specified

218 South Korea

219 North Korea

220 Kuwait

221 Laos

222 Lebanon

223 Macau

224 Malaysia

225 Maldives

226 Mongolia

227 Nepal

228 Oman

229 Pakistan

230 Paracel Islands

231 Philippines

232 Qatar

233 Saudi Arabia

234 Singapore

235 Spratley Islands

236 Sri Lanka

237 Syria

238 Taiwan

239 Thailand

240 Turkey

241 United Arab Emirates

242 Vietnam

243 Yemen, People's Democratic Republic

244 Yemen Arab Republic

245 Asia, not specified

246 Asia Minor, not specified

247 East Asia, not specified

248 Gaza Strip

249 Indochina, not specified

250 Iraq-Saudi Arabia Neutral Zone

251 Mesopotamia, not specified

252 Middle East, not specified

253 Palestine, not specified

254 Persian Gulf States, not specified

255 Southeast Asia, not specified

256-299 West Bank

300-399 America

300-309 North America

300 Bermuda

301 Canada

302 Greenland

303 St. Pierre and Miquelon
304-309 North America, not specified

310-329 Central America

310 Belize

311 Costa Rica

312 El Salvador

313 Guatemala

314 Honduras

315 Mexico

316 Nicaragua

317 Panama

318-329 Central America, not specified

330-374 Caribbean

330 Anguilla

331 Antigua and Barbuda

332 Aruba

333 Bahamas

334 Barbados

335 British Virgin Islands

336 Cayman Islands

337 Cuba

338 Dominica

339 Dominican Republic

340 Grenada

341 Guadeloupe

342 Haiti

343 Jamaica

344 Martinique

345 Montserrat

346 Netherlands Antilles

347 St. Barthelemy

348 St. Kitts-Nevis

349 St. Lucia

350 St. Vincent and the Grenadines

351 Trinidad and Tobago

352 Turks and Caicos Islands

353 Caribbean, not specified

354 Antilles, not specified

355 British West Indies, not specified

356 Latin America, not specified

357 Leeward Islands, not specified

358 West Indies, not specified

359-374 Windward Islands, not specified

375-399 South America

375 Argentina

376 Bolivia

377 Brazil

378 Chile

379 Colombia

380 Ecuador

381 Falkland Islands

382 French Guiana

383 Guyana

384 Paraguay

385 Peru
386 Suriname

387 Uruguay

388 Venezuela

389-399 South America, not specified

400-499 Africa

400 Algeria

401 Angola

402 Bassas da India

403 Benin

404 Botswana

405 British Indian Ocean Territory

406 Burkina Faso

407 Burundi

408 Cameroon

409 Cape Verde

410 Central African Republic

411 Chad

412 Comoros

413 Congo

414 Djibouti

415 Egypt

416 Equatorial Guinea

417 Ethiopia

418 Europa Island

419 Gabon

420 Gambia

421 Ghana

422 Glorioso Islands

423 Guinea

424 Guinea-Bissau

425 Ivory Coast

426 Juan de Nova Island

427 Kenya

428 Lesotho

429 Liberia

430 Libya

431 Madagascar

432 Malawi

433 Mali

434 Mauritania

435 Mayotte

436 Morocco

437 Mozambique

438 Namibia

439 Niger

440 Nigeria

441 Reunion

442 Rwanda

443 Sao Tome and Principe

444 Senegal

445 Mauritius

446 Seychelles

447 Sierra Leone

448 Somalia

449 South Africa
450 St. Helena

451 Sudan

452 Swaziland

453 Tanzania

454 Togo

455 Tromelin Island

456 Tunisia

457 Uganda

458 Western Sahara

459 Zaire

460 Zambia

461 Zimbabwe

462 Africa, not specified

463 Central Africa, not specified

464 Eastern Africa, not specified

465 Equatorial Africa, not specified

466 French Equatorial Africa, not specified

467 French West Africa, not specified

468 North Africa, not specified

469 Western Africa, not specified

470-499 Southern Africa, not specified

500-553 Oceania

500 Ashmore and Cartier Islands

501 Australia

502 Christmas Island, Indian Ocean

503 Clipperton Island

504 Cocos Islands

505 Cook Islands

506 Coral Sea Islands

507 Fiji

508 French Polynesia

509 Kiribati

510 Marshall Islands

511 Micronesia

512 Nauru

513 New Caledonia

514 New Zealand

515 Niue

516 Norfolk Island

517 Palau

518 Papua New Guinea

519 Pitcairn Islands

520 Solomon Islands

521 Tokelau

522 Tonga

523 Tuvalu

524 Vanuatu

525 Wallis and Futuna Islands

526 Western Samoa

527 Oceania, not specified

528 Polynesia, not specified

529-549 Melanesia, not specified

550 Antarctica

551 Bouvet Island
552 French Southern and Antarctic Lands

553 Heard and McDonald Islands

554-999 At Sea/Abroad, Not Specified

554 At sea

555-999 Abroad, not specified

RACE

This section contains the alphabetical code list for race and American 

Indian tribes. The list of race groups and American Indian tribes with 

their associated 3-digit numerical code was used to code the Asian or 

Pacific Islander, American Indian, Eskimo, or Aleut, and the Other race 

write-in entries. A separate set of 3-digit numerical codes were used to 

identify FOSDIC circles for the race categories listed in the race item on 

the questionnaire. These codes and their respective race categories are: 

White-971, Black or Negro-972, Indian (Amer.)-973, Eskimo-974, Aleut-975, 

Chinese-976, Filipino-977, Hawaiian-978, Korean-979, Vietnamese-980, 

Japanese-981, Asian Indian-982, Samoan-983, Guamanian-984, Other Asian or 

Pacific Islander-985, and Other race-986.

000-599, 973 American Indian

000-001 Ahtna

002 Biorka

003 Reserve American Indian 1

004-005 Bristol Bay

006 Chaneliak

007 Chugach

008 Tanaina

009 Doyon

010 Kodiak

011 Reserve American Indian 2

012 Sealaska

013 Umpqua

014 Alaskan Athabaskan

015 Alaska Native

016 Haida

017 Tlingit

018 Tsimshian

019 Alaska Indian

020 Chehalis

021 Chemakum

022 Klallam

023 Jamestown

024 Lower Elwha

025 Port Gamble Klallam

026 Coquilles

027 Cowlitz

028 Lummi

029 Nooksack

030 Puget Sound Salish

031 Duwamish

032 Kikiallus

033 Lower Skagit

034 Muckleshoot

035 Nisqually
036 Puyallup

037 Samish

038 Sauk-Suiattle

039 Upper Skagit

040 Skykomish

041 Snohomish

042 Snoqualmie

043 Squaxin Island

044 Steilacoom

045 Stillaguamish

046 Suquamish

047 Swinomish

048 Tulalip

049 Port Madison

050 Quinault

051 Quileute

052 Hoh

053 Makah

054 Talakamish

055 Chinook

056 Clatsop

057 Kathlamet

058 Columbia River Chinook

059 Upper Chinook

060 Wakiakum Chinook

061 Willapa Chinook

062 Alsea

063 Cayuse

064 Celilo

065 Coos

066 Kalapuya

067 Klamath

068 Molala

069 Oregon Athabaskan

070 Siuslaw

071 Takelma

072 Tenino

073 Tillamook

074 Tygh

075 Umatilla

076 Walla-Walla

077 Yahooskin

078 Yakima

079 Skokomish

080 Agua Caliente Cahuilla

081 Augustine

082 Cabazon

083 Cahto

084 Cahuilla

085 Campo

086 Capitan Grande

087 Chemehuevi

088 Chimariko

089 Chumash

090 Costanoan

091 Cupeno

092 Cuyapaipe
093 Diegueno

094 Digger

095 Gabrieleno

096 Hoopa

097 Inaja Cosmit

098 Karok

099 Kawaiisu

100 La Jolla

101 Lassik

102 La Posta

103 Luiseno

104 Maidu

105 Manzanita

106 Mesa Grande

107 Mountain Maidu

108 Nishinam

109 Konkow

110 Mattole

111 Miwok

112 Coast Miwok

113 Modoc

114 Mono

115 Nomalaki

116 Pala

117 Pechanga

118 Pauma

119 Pit River

120 Pomo

121 Dry Creek

122 Northern Pomo

123 Kashaya

124 Central Pomo

125 Stonyford

126 Eastern Pomo

127 Sulphur Bank

128 Salinan

129 San Manual

130 San Pascual

131 Santa Rosa Cahuilla

132 Santa Ynez

133 Santa Ysabel

134 Serrano

135 Shasta

136 Soboba

137 Sycuan

138 Tolowa

139 Torres-Martinez

140 Kern River

141 Tule River

142 Twenty-Nine Palms

143 Wailaki

144 Wappo

145 Whilkut

146 Wintu

147 Wiyot

148 Yana

149 Yokuts
150 Tachi

151 Chukchansi

152 Yuki

153 Yurok

154 Reserve American Indian 3

155 Columbia

156 Kalispel

157 Salish

158 Coeur D'Alene

159 Colville

160 Spokane

161 Nez Perce

162 Washo

163 Alpine

164 Carson

165 Dresslerville

166 Stewart

167 Wishram

168 Hoopa Extension

169 Trinity

170 Ute

171 Allen Canyon

172 Uintah Ute

173 Ute Mountain Ute

174 Shoshone Paiute

175 Paiute

176 Northern Paiute

177 Cedarville

178 Pyramid Lake

179 Fort Bidwell

180 Las Vegas

181 Lovelock

182 Utu Utu Gwaitu Paiute

183 Fort Independence

184 Bridgeport

185 Burns Paiute

186 Yerington Paiute

187 Walker River

188 Southern Paiute

189 Kaibab

190 Moapa

191 Owens Valley

192 Summit Lake

193 Aroostook

194 Reserve American Indian 5

195 Shoshone

196 Battle Mountain

197 Duck Water

198 Elko

199 Ely

200 Goshute

201 Panamint

202 Ruby Valley

203 South Fork Shoshone

204 Washakie

205 Yomba

206 Te-Moak Western Shoshone
207 Bannock

208 Kootenai

209-210 Havasupai

211 Hualapai

212 Yavapai

213 Maricopa

214 Quechan

215 Cocopah

216 Mohave

217 Pima

218 Tohono O'Odham

219 Gila Bend

220 Ak-Chin

221 San Xavier

222 Sells

223 Yaqui

224 Pascua Yaqui

225 Barrio Libre

226 Mississippi Choctaw

227 Reserve American Indian 6

228 Jena Choctaw

229 Pueblo

230 Tigua

231 Taos

232 Picuris

233 Sandia

234 Isleta

235 Keres

236 Acoma

237 Cochiti

238 Laguna

239 San Felipe

240 Santa Ana

241 Santo Domingo

242 Zia

243 Tewa

244 Nambe

245 Pojoaque

246 San Ildefonso

247 San Juan Pueblo

248 Santa Clara

249 Tesuque

250 Arizona Tewa

251 Jemez

252 Hopi

253 Zuni

254 San Juan de

255 Apache

256 Oklahoma Apache

257 Jicarilla Apache

258 Lipan Apache

259 Mescalero Apache

260 Chiricahua

261 Fort Sill Apache

262 San Carlos Apache

263 Payson Apache

264 White Mountain Apache
265 Reserve American Indian 7

266 Reserve American Indian 8

267 Reserve American Indian 9

268 Reserve American Indian 10

269 Reserve American Indian 11

270 Reserve American Indian 12

271 Reserve American Indian 13

272 Reserve American Indian 14

273 Reserve American Indian 15

274 Reserve American Indian 16

275 Navajo

276 Kiowa

277 Tonkawa

278 Oklahoma Caddo

279 Arikara

280 Oklahoma Pawnee

281 Wichita

282 Sioux

283 Cheyenne River Sioux

284 Crow Creek Sioux

285 Devils Lake Sioux

286 Flandreau Santee

287 Fort Peck

288 Standing Rock Sioux

289 Lake Traverse Sioux

290 Lower Sioux

291 Pine Ridge Sioux

292 Pipestone Sioux

293 Prairie Island Sioux

294 Prior Lake

295 Rosebud Sioux

296 Upper Sioux

297 Sisseton-Wahpeton Sioux

298 Teton Sioux

299 Brule Sioux

300 Lower Brule Sioux

301 Sans Arc Sioux

302 Two Kettle Sioux

303 Blackfoot Sioux

304 Oglala Sioux

305 Miniconjou

306 Yanktonai Sioux

307 Yankton Sioux

308 Santee Sioux

309 Sisseton Sioux

310 Mdewakanton Sioux

311 Wahpekute Sioux

312 Wahpeton Sioux

313 Assiniboine

314 Iowa

315 Otoe-Missouria

316 Winnebago

317 Kaw

318 Omaha

319 Ponca

320 Osage

321 Quapaw
322 Crow

323 Hidatsa

324 Mandan

325 Comanche

326 Dakota Sioux

327 Wazhaza Sioux

328 Nebraska Winnebago

329 Wisconsin Winnebago

330 Chippewa

331 Bay Mills Chippewa

332 Sault Ste. Marie Chippewa

333 Saginaw Chippewa

334 Keweenaw

335 Lac Vieux Desert Chippewa

336 Ontonagon

337 Leelanau

338 Minnesota Chippewa

339 Boise Forte

340 Grand Portage

341 Fond Du Lac

342 Leech Lake

343 Mille Lac

344 White Earth

345 Red Lake Chippewa

346 Lake Superior

347 Bad River

348 Lac Courte Oreilles

349 Lac Du Flambeau

350 Red Cliff Chippewa

351 St. Croix Chippewa

352 Sokoagon Chippewa

353 Turtle Mountain

354 Rocky Boy's Cree

355 Burt Lake Chippewa

356 Burt Lake Band

357 Reserve American Indian 19

358 Reserve American Indian 20

359 Burt Lake Ottawa

360 Blackfoot

361 Cheyenne

362 Northern Cheyenne

363 Southern Cheyenne

364 Arapaho

365 Atsina

366 Menominee

367 Potawatomie

368 Citizen Band Potawatomi

369 Forest County

370 Hannahville

371 Huron Potawatomi

372 Pogagon Potawatomi

373 Prairie Band

374 Wisconsin Potawatomi

375 Ottawa

376 Miami

377 Sac and Fox

378 Peoria
379 Sac and Fox-Mesquakie

380 Kickapoo

381 Shawnee

382 Algonquian

383 Micmac

384 Mailseet

385 Passamaquoddy

386 Pleasant Point Passamaquoddy

387 Indian Township

388 Penobscot

389 Abenaki

390 Wampanoag

391 Nipmuc

392 Narragansett

393 Pequot

394 Mohegan

395 Paugussett

396 Schaghticoke

397 Brotherton

398 Shinnecock

399 Stockbridge

400 Munsee

401 Delaware

402 Sand Hill

403 Absentee Shawnee

404 Clifton Choctaw

405 Iroquois

406 Seneca

407 Seneca Nation

408 Tonawanda Seneca

409 Seneca-Cayuga

410 Cayuga

411 Onondaga

412 Oneida

413 Mohawk

414 Tuscarora

415 Wyandotte

416 Cherokee

417 Eastern Cherokee

418 Western Cherokee

419 Etowah Cherokee

420 United Keetoowah Band

421 Tuscola

422 Northern Cherokee

423 Eastern Muskogee

424 Agua Caliente

425 Creek

426 Thlopthlocco

427 Yuchi

428 Hitchiti

429 Eastern Creek

430 Principal Creek Indian Nation

431 Poarch Band

432 Lower Muskogee

433 Alabama Coushatta

434 Choctaw

435 Houma
436 Chickasaw

437 Miccosukee

438 Seminole

439 Oklahoma Seminole

440 Florida Seminole

441 Big Cypress

442 Brighton

443 Hollywood Seminole

444 Natchez

445 Matinecock

446 Montauk

447 Poospatuck

448 Setauket

449 Tuckabachee

450 Nanticoke

451 Piscataway

452 Nansemond

453 Chickahominy

454 Pamunkey

455 Mattaponi

456 Rappahannock

457 Attacapa

458 Biloxi

459 Catawba

460 Chitimacha

461 Coharie

462 Croatan

463 Haliwa

464 Lumbee

465 Moor

466 Powhatan

467 Tunica

468 Wesort

469 Southeastern Indians

470 Cajun

471 Coushatta

472 Reserve American Indian 23

473 Reserve American Indian 24

474 Reserve American Indian 25

475 Reserve American Indian 26

476 Colorado River

477 Duck Valley

478 Fallon

479 Fort Belknap

480 Fort Berthold

481 Fort Hall

482 Fort McDermitt

483 Fort McDowell

484 Cow Creek Umpqua

485 Gila River

486 Grand Ronde

487 Los Coyotes

488 Mission Indians

489 Morongo

490 Reno-Sparks

491 Round Valley

492 Shoalwater
493 Siletz

494 Skull Valley

495 Susanville

496 Table Bluff

497 Wascopum

498 Wind River

499 Winnemucca

500 Yavapai Apache

501 Reserve American Indian 27

502 Gros Ventres

503 Scott Valley

504 Warm Springs

505 Santa Rosa

506 San Juan

507 Red Wood

508 Salish and Kootenai

509 Georgetown

510 Clear Lake

511 Yakima Cowlitz

512 Scotts Valley

513 Cheyenne-Arapaho

514 Northern Arapaho

515 Southern Arapaho

516 Mashpee Wampanoag

517 Gay Head Wampanoag

518 Timbi-Sha Shoshone

519 Juaneno

520 Oklahoma Choctaw

521 Oklahoma Modoc

522 Oklahoma Kiowa

523 Oklahoma Comanche

524 Oklahoma Iowa

525 Canadian Indian

526 Oklahoma Ponca

527 Oklahoma Ottawa

528 Oklahoma Miami

529 Oklahoma Peoria

530 Oklahoma Sac and Fox

531 Oklahoma Kickapoo

532 Oklahoma Delaware

533 Caddo

534 Pawnee

535 Michigan Ottawa

536 Indiana Miami

537 Missouri Sac and Fox

538 Eastern Shawnee

539 Cherokee Shawnee

540 Kialegee

541 Alabama Quassarte

542 Malheur Paiute

543 Wenatchee

544 Little Shell Chippewa

545 Illinois

546 Rampough Mountain

547 Lenni-Lenape

548 Amerind White

549 Amerind Black
550 Mexican American Indian

551 Central American Indian

552 South American Indian

553 French American Indian

554 Spanish American Indian

555 Cherokees of Southeast Alabama

556 Cherokees of Northeast Alabama

557 Echota Cherokee

558 MaChis Lower Creek Indian

559 MOWA Band of Choctaw

560 Star Clan of Muskogee Creeks

561 Eastern Delaware

562 Cherokee Alabama

563 Reserve American Indian 36

564 Reserve American Indian 37

565 Mexican Indian Cherokee

566 Eastern Chickahominy

567 Western Chickahominy

568 Waccamaw-Siouan

569 Nausu Waiwash

570 Pocomoke Acohonock

571 Susquehanock

572 Wicomico

573 Piro

574 Illinois Miami

575 Tunica Biloxi

576-597 American Indian

598 Tribal response, not elsewhere classified

599 Reserve American Indian 38

973 American Indian (FOSDIC circle)

600-699, 976-985 Asian or Pacific Islander

600-652, 976, 977, 979-982, 985 Asian

600 Asian Indian

601 Bangladeshi

602 Bhutanese

603 Burmese

604 Cambodian (Kampuchean)

605 Chinese

606 Taiwanese

607 Formosan

608 Filipino

609 Hmong

610 Indonesian

611 Japanese

612 Korean

613 Laotian

614 Malayan

615 Okinawan

616 Pakistani

617 Sri Lankan

618 Thai

619 Vietnamese

620 Amerasian

621 Asian

622 Asiatic
623 Eurasian

624 Mongolian

625 Oriental

626 Whello

627 Yellow

628 Borneo

629 Celebesian

630 Ceram

631 Indo-Chinese

632 Iwo Jiman

633 Javanese

634 Maldivian

635 Nepali

636 Sikkim

637 Singaporean

638 Sumatran

639 Madagascar

640 Reserve Asian 2

641 Reserve Asian 3

642 Reserve Asian 4

643 Reserve Asian 5

644 Reserve Asian 6

645 Reserve Asian 7

646 Reserve Asian 8

647 Reserve Asian 9

648 Reserve Asian 10

649 Reserve Asian 11

650 Reserve Asian 12

651 Reserve Asian 13

652 Reserve Asian 14

976 Chinese (FOSDIC circle)

977 Filipino (FOSDIC circle)

979 Korean (FOSDIC circle)

980 Vietnamese (FOSDIC circle)

981 Japanese (FOSDIC circle)

982 Asian Indian (FOSDIC circle)

985 Other Asian or Pacific Islander (FOSDIC circle)

653-699, 978, 983, 984 Pacific Islander

653-659, 978, 983 Polynesian

653 Hawaiian

654 Part Hawaiian

655 Samoan

656 Tahitian

657 Tongan

658 Polynesian

659 Tokelauan

978 Hawaiian (FOSDIC circle)

983 Samoan (FOSDIC circle)

660-675, 984 Micronesian

660 Guamanian

661 Mariana Islander

662 Marshallese

663 Palauan

664 Bikinian
665 Carolinian

666 Eniwetok

667 Kosraean

668 Kwajalein

669 Micronesian

670 Ponapean (Pohnpeian)

671 Saipanese

672 Tarawa Islander

673 Tinian

674 Trukese (Chuukese)

675 Yapese

984 Guamanian (FOSDIC circle)

676-680 Melanesian

676 Fijian

677 Melanesian

678 Papua New Guinean

679 Solomon Islander

680 New Hebrides

681-699 Other Pacific Islander

681 Pacific Islander

682 Reserve Pacific Islander 1

683 Reserve Pacific Islander 2

684 Reserve Pacific Islander 3

685 Reserve Pacific Islander 4

686 Reserve Pacific Islander 5

687 Reserve Pacific Islander 6

688 Reserve Pacific Islander 7

689 Reserve Pacific Islander 8

690 Reserve Pacific Islander 9

691 Reserve Pacific Islander 10

692 Reserve Pacific Islander 11

693 Reserve Pacific Islander 12

694 Reserve Pacific Islander 13

695 Reserve Pacific Islander 14

696 Asian or Pacific Islander

697 Reserve Asian or Pacific Islander 1

698 Reserve Asian or Pacific Islander 2

699 Reserve Asian or Pacific Islander 3

 

700-799, 986, 987-999 Other Race

700-748 Hispanic Origin

700 Argentinian

701 Bolivian

702 Boricua

703 Californio

704 Central American

705 Chicano

706 Chilean

707 Colombian

708 Costa Rican

709 Cuban

710 Dominican
711 Ecuatorian (Ecuadorian)

712 Salvadoran

713-714 Galapagos

715 Guajiro

716 Guatemalan

717 Hispanic

718 Honduran

719 La Raza

720 Latin American

721 Mestizo

722 Mexican

723 Nicaraguan

724 Panamanian

725 Paraguayo

726 Peruvian

727 Puerto Rican

728 Morena

729 South American

730 Spanish

731 Spanish-American

732 Spanish-Mexican

733 Sudamericano

734 Uruguayan

735 Venezuelan

736 Reserve Hispanic 2

737 Reserve Hispanic 3

738 Reserve Hispanic 4

739 Reserve Hispanic 5

740 Reserve Hispanic 6

741 Reserve Hispanic 7

742 Reserve Hispanic 8

743 Reserve Hispanic 9

744 Reserve Hispanic 10

745 Reserve Hispanic 11

746 Reserve Hispanic 12

747 Reserve Hispanic 13

748 Reserve Hispanic 14

 

 

749-799, 986, 987-999 Not of Hispanic Origin

749-750 Brava

751 Brazil

752 Brown

753 Bushwacker

754 Cajun

755 Cape Verdean

756 Chocolate

757 Coe Clan

758 Coffee

759 Cosmopolitan

760 Issues

761 Jackson White

762 Lapp

763 Melungeon

764 Mixed

765 Ramp

766 Tunica
767 Wesort

768 Mulatto

769 Moor

770 Biracial/Interracial

771 Creole

772 Indian

773 Turk

774 Half-Breed

775 Rainbow

776 Octoroon

777 Quadroon

778 Reserve Non-Hispanic 3

779 Reserve Non-Hispanic 4

780 Reserve Non-Hispanic 5

781 Reserve Non-Hispanic 6

782 Reserve Non-Hispanic 7

783 Reserve Non-Hispanic 8

784 Reserve Non-Hispanic 9

785 Reserve Non-Hispanic 10

786 Reserve Non-Hispanic 11

787 Reserve Non-Hispanic 12

788 Reserve Non-Hispanic 13

789 Reserve Non-Hispanic 14

790 Reserve Non-Hispanic 15

791 Reserve Non-Hispanic 16

792 Reserve Non-Hispanic 17

793 Reserve Non-Hispanic 18

794 Reserve Non-Hispanic 19

795 Reserve Non-Hispanic 20

796 Reserve Non-Hispanic 21

797 Reserve Non-Hispanic 22

798 Trinidad

799 Other race, not elsewhere classified

986 Other race (FOSDIC circle)

987-999 Reserve Other race

800-869, 971 White

800 White

801 Arab

802 English

803 French

804 German

805 Irish

806 Italian

807 Near Easterner

808 Polish

809 Scottish

810 White and Black

811 White Amerind

812 White Chinese

813 White Formosan/Taiwanese

814 White Filipino

815 White Hawaiian

816 White Korean

817 White Vietnamese

818 White Japanese
819 White Asian Indian

820 White Samoan

821 White Guamanian

822 White Bangladeshi

823 White Burmese

824 White Cambodian (Kampuchean)

825 White Hmong

826 White Indonesian

827 White Laotian

828 White Malayan

829 White Okinawan

830 White Pakistani

831 White Sri Lankan

832 White Thai

833 White Fijian

834 White Palauan

835 White Tahitian

836 White Tongan

837 White Other Asian or Pacific Islander

838 White Eskimo

839 White Aleut

840 Reserve White 3

841 Reserve White 4

842 Reserve White 5

843 Reserve White 6

844 Reserve White 7

845 Reserve White 8

846 Reserve White 9

847 Reserve White 10

848 Reserve White 11

849 Reserve White 12

850 Reserve White 13

851 Reserve White 14

852 Reserve White 15

853 Reserve White 16

854 Reserve White 17

855 Reserve White 18

856 Reserve White 19

857 Reserve White 20

858 Reserve White 21

859 Reserve White 22

860 Reserve White 23

861 Reserve White 24

862 Reserve White 25

863 Reserve White 26

864 Reserve White 27

865 Reserve White 28

866 Reserve White 29

867 Reserve White 30

868 Reserve White 31

869 White Cherokee

971 White (FOSDIC circle)

 

 

870-934, 972 Black or Negro

870 Black

871 African
872 African American

873 Afro-American

874 Nigritian

875 Black and White

876 Black Amerind

877 Black Chinese

878 Black Formosan/Taiwanese

879 Black Filipino

880 Black Hawaiian

881 Black Korean

882 Black Vietnamese

883 Black Japanese

884 Black Asian Indian

885 Black Samoan

886 Black Guamanian

887 Black Bangladeshi

888 Black Burmese

889 Black Cambodian (Kampuchean)

890 Black Hmong

891 Black Indonesian

892 Black Laotian

893 Black Malayan

894 Black Okinawan

895 Black Pakistani

896 Black Sri Lankan

897 Black Thai

898 Black Fijian

899 Black Palauan

900 Black Tahitian

901 Black Tongan

902 Black Other Asian or Pacific Islander

903 Black Eskimo

904 Black Aleut

905 Reserve Black 3

906 Reserve Black 4

907 Reserve Black 5

908 Reserve Black 6

909 Reserve Black 7

910 Reserve Black 8

911 Reserve Black 9

912 Reserve Black 10

913 Reserve Black 11

914 Reserve Black 12

915 Reserve Black 13

916 Reserve Black 14

917 Reserve Black 15

918 Reserve Black 16

919 Reserve Black 17

920 Reserve Black 18

921 Reserve Black 19

922 Reserve Black 20

923 Reserve Black 21

924 Reserve Black 22

925 Reserve Black 23

926 Reserve Black 24

927 Reserve Black 25

928 Reserve Black 26
929 Reserve Black 27

930 Reserve Black 28

931 Reserve Black 29

932 Reserve Black 30

933 Reserve Black 31

934 Black Cherokee

972 Black or Negro (FOSDIC circle)

935-940, 974 Eskimo

935 Eskimo

936 Reserve Eskimo 1

937 Reserve Eskimo 2

938 Reserve Eskimo 3

939 Reserve Eskimo 4

940 Wales

974 Eskimo (FOSDIC circle)

 

 

941-970, 975 Aleut

941 Aleut

942 Reserve Aleut 1

943 Reserve Aleut 2

944 Reserve Aleut 3

945 Reserve Aleut 4

946-970 Reserve Aleut 5

975 Aleut (FOSDIC circle)

 

 

971-986 FOSDIC Circle Codes

971 See White

972 See Black or Negro

973 See American Indian

974 See Eskimo

975 See Aleut

976 See Asian

977 See Asian

978 See Pacific Islander

979 See Asian

980 See Asian

981 See Asian

982 See Asian

983 See Pacific Islander

984 See Pacific Islander

985 See Asian

986 See Other race

 

 

987-999 Reserve Other Race
APPENDIX I

CD-ROM Technical Information(1)

CONTENTS

Equipment--------------------- I--1

Software---------------------- I--1

Converting to ASCII Files----- I--2

Directory and Index Information I--2

Technical Documentation------- I--3

EQUIPMENT

The two basic pieces of equipment needed to use CD-ROM's are a

microcomputer and a CD-ROM drive. A printer is very useful but not

essential. Your microcomputer should be equipped with at least 640K random

access memory (RAM). While a hard disk is not required on your

microcomputer, it is very useful. 

SOFTWARE

Software is needed for accessing the CD-ROM as well as for accessing the

data. 

MS-DOS 3.1 or higher is needed as your operating system if you have a CDROM reader. You will also need DOS file manager software such as

Microsoft's CD-ROM Extensions. CD-ROM extensions is a collection of

programs that enables the microcomputer to communicate with the attached

CD-ROM drives. You must have version 2. 0 or higher of the Microsoft 

Extensions. 

If you already have a CD-ROM drive, you may not know whether it is

equipped with file manager software like the CD-ROM extensions. To find

out, try signing on to your CD-ROM drive just as though it is a magnetic

disk drive, and perform simple file management tasks, like listing the

directory. (For example, from the DOS prompt, type the command DIR and the

letter used to designate the CD-ROM drive followed by a colon [e. g. , C>DIR 

L:] and press enter. ) If you get an error message, it may mean that 

you need to obtain and install CD-ROM extensions. 

CD-ROM Extensions

Although all versions of CD-ROM extensions work basically the same way,

installation procedures may vary slightly from one supplier to another. 

Many versions contain a program that will automatically install the

software for you, after you have answered a few questions about the type of

equipment that you plan to use. Be sure to follow the instructions for

installing CD-ROM Extensions that are provided with the software. 

The first step, if you are installing extensions without the aid of an

automatic set-up program, is usually installing the device driver program

and MSCDEX. EXE on your bootable disk. For computers containing a hard

drive, this usually means drive C. The name of the device driver program

varies from one version of extensions to another; one common practice of

software developers is to name it after the brand of CD-ROM drive that it

supports, e. g. , HITACHI. SYS. The device driver program and MSCDEX are
frequently set up in separate subdirectories; however, this practice is not

universal. 

The next step is to add a line to the CONFIG. SYS file to identify the

device driver program. This line typically looks something like this:

DEVICE=\path\driver name/D:\driver alias/N:#

For example: device=\dev\HITACHI. SYS/D:MSCD001/N:1

The driver name (e. g. , HITACHI. SYS) and the driver alias should be

provided by the set-up program or in the instructions that accompany the

floppy disk containing the extensions software. The symbol # at the end of

the line should be replaced with the number of CD-ROM drives (up to 4) that

will be hooked up to the microcomputer. 

The third step is to add a line to the AUTOEXEC. BAT file for running

MSCDEX. EXE and assigning a letter to your CD-ROM drive. Depending on your

system configuration you may opt to set up one or more batch files to

accomplish the same purpose. If you add a line to the AUTOEXEC. BAT file,

it will probably look something like this:

\path\MSCDEX. EXE/D:driver alias/M:8/L:L

For example: \BIN\MSCDEX. EXE/D:MSCD001/M:12/L:L

The driver alias, which is really the name that your system will use to

identify the device driver, should be the same one that is named in your

CONFIG. SYS file. 

The number following M: is the number of memory buffers allocated

(usually 8, but sometimes more). The last letter, following the L:;

designates the letter assigned to the CD-ROM drive. 

Though the final step is simple, it's also easy to overlook. You must

reboot the system in order to activate the changes that you've made to your

CONFIG. SYS and AUTOEXEC. BAT. 

Once properly installed, the device behaves much like a read-only floppy

diskette drive, and simple MS-DOS commands such as DIR are possible. If

the computer reports that the CD-ROM is “not High Sierra,” you must first

upgrade your Microsoft CD-ROM Extensions software to version 2. 0 or later. 

Data Retrieval Software

This CD-ROM contains data retrieval software. This software was

developed and tested on a COMPAQ Deskpro 286 with 640K RAM operating under

MS-DOS 3.31. The software was compiled with Clipper (Summer '87). There

are no special display requirements. Please note that the retrieval

software will only run on IBM-compatibles operating under MS-DOS. 

To execute, type GO at the DOS prompt and ENTER. 

 Example: L:\>go

The data on the CD-ROM are in dBase III+TM format. Data in dBase III+

format are recognized by many software packages including dBaseIVTM,
FoxbaseTM, ClipperTM, SupercalcVTM, Quattro ProTM, and VP-PlannerTM. 

Users of other types of systems, such as the Apple Macintosh, have access

to the files through support for ISO 9660 CD-ROMs. 

CONVERTING TO ASCII FILES

Users without database management software who wish to convert the files

to ASCII can follow the code found in the README file on the CD-ROM. 

TECHNICAL DOCUMENTATION

The DOCUMENT directory on the CD-ROM contains sections of the Summary Tape

File 3 technical documentation in a series of ASCII text files. These are

as follows:

ROSTER_P.ASC Roster Page

ACKNOW.ASC Acknowledgments

CONTENTS.ASC Contents

ABST_S3.ASC Abstract

HOWTOUSE.ASC How to Use the File

SUB_LOC.ASC Subject Locator

LIST_TBL.ASC List of Tables

TBL_OUT.ASC Table Outlines

SUM_LEV.ASC Summary Level Sequence Chart

USERNOTE.ASC User Notes Explanation and Notes

IDEN_FTN.ASC Identification Section of the Data Dictionary

TBL_MTX.ASC Table (Matrix) Section of the Data Dictionary

APPEND_A.ASC Appendix A Area Classifications

APPEND_B.ASC Appendix B Subject Characteristics

APPEND_C.ASC Appendix C Accuracy of the Data

APPEND_D.ASC Appendix D Procedures

APPEND_E.ASC Appendix E Facsimiles of Instructions

APPEND_F.ASC Appendix F Data Products and User Assistance

APPEND_G.ASC Appendix G Maps (Text only)

APPEND_H.ASC Appendix H Code Lists

APPEND_I.ASC Appendix I CD-ROM Technical Information

-------------------------------------------------------------------------

Figure 4. Reference Files

STF1STRU.DBF This file describes the structure of the 67

 identification fields in the STF300 segment. This is in

 the format of a dBASE III extended structure which has been

 expanded to include brief field descriptions.

 Structure for database: stf300.dbf

 Number of data records: 67
 Field Field Name Type Width Dec

 1 FIELD_NAME Character 10

 2 FIELD_TYPE Character 1

 3 FIELD_LEN Numeric 3

 4 FIELD_DEC Numeric 3

 5 FIELD_TEXT Character 60

 ** Total ** 78

TABLES.DBF This file describes the numeric data tables.

 Structure for database: tables.dbf

 Number of data records: 4,756

 Field Field Name Type Width Dec

 1 TABLE Character 6

 2 FIELD Character 10

 3 TEXT Character 68

 4 SEGMENT Character 6

 ** Total ** 91

CNAMESss.DBF This file contains a list of county names and FIPS

 county codes for State ss.

 Structure for database

 Field Field Name Type Width Dec

 1 CNTY Character 3

 2 ANPSADPI Character 66

 ** Total ** 91

\DOCUMENT Directory of technical documentation files in ASCII text

 format.

--------------------------------------------------------------------------

Figure 5. Index Files

TABLES.NDX This is a dBASE III index file for TABLES.DBF. The key 

 field is TABLE.

The following dBASE index files are for STF3??ss.DBF.

STF3AMss.NDX The key fields are SUMLEV + CNTY + COUSUBFP + PLACEFP

 + TRACTBNA + BLCKGR.

STF1APss.NDX The key fields are SUMLEV + PLACEFP.

STF3ATss.NDX The key fields are SUMLEV + CNTY + TRACTBNA + BLCKGR.

STF3ALss.NDX The key fields are SUMLEV + left(ANPSADPI,1).

_____

(1)Portions of this appendix are adapted from Administrative Notes, the

Newsletter of the Federal Depository Library Program

(May 22, 1989).