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1990 CPH-2-43

1990 Census of

Population and Housing

Population and Housing

Unit Counts

South Dakota

U.S. Department of Commerce

Economics and Statistics Administration

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

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

Chief for Content and Data Products, directed the development and

implementation of the 1990 Census Tabulation and Publication Program.

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

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

The following branch chiefs made significant contributions: Cheryl R.

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

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

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

Quash.

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

responsible for processing and tabulating census data. Assistant division

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

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

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

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

branch chiefs made significant contributions: Jonathan G. Ankers,

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

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

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

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

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

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

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

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

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

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

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

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

The Housing and Household Economic Statistics Division, Daniel H.

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

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

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

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

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

and Thomas S. Scopp. Other important contributors were Eleanor

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

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

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

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

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

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

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

questionnaire content, designed the data tabulations, and reviewed the

data for the demographic and social characteristics of the population.

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

the development of this work. Other assistant division chiefs were

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

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

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

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

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

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

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

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

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

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

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

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

directed the development of data product dissemination and information to

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

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

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

Assistant Chief for Group Information and Advisory Services, directed

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

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

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

and Forrest B. Williams. Other important contributors were Molly

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

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

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

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

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

Joyce J. Ware, and Gary M. Young.

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

Assistant Division Chief for Geoprocessing, directed the planning and

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

LaMacchia, Assistant Division Chief for Planning, directed the planning

and implementation of processes for defining 1990 census geographic

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

the planning and implementation of 1990 census mapping applications

using the TIGER System. The following branch chiefs made significant

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

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

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

Trois. Other important contributors were Gerard Boudriault,

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

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

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

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

Willette, and Walter E. Yergen.

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

the application of mathematical statistical techniques in the design and

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

Quality Assurance, directed the development and implementation of

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

implementation of sample design, disclosure avoidance, weighting, and

variance estimation. Howard Hogan and David V. Bateman were

contributing assistant division chiefs. The following branch chiefs made

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

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

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

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

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

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

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

implementation of the 1990 Census Redistricting Data Program.

The Administrative and Publications Services Division, Walter C.

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

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

contributing assistant division chief. The following branch and staff chiefs

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

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

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

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

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

management of a multi-operational facility including kit preparation,

procurement, warehousing and supply, and census processing activities.

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

chiefs.

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

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

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

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

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

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

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

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

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

the assistant chief.

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

developed, deployed, and produced automated technology for census

data processing.

ACKNOWLEDGMENTS
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1990 CPH-2-43

1990 Census of

Population and Housing

Population and Housing

Unit Counts

South Dakota

U.S. Department of Commerce

Barbara Hackman Franklin, Secretary

Rockwell A. Schnabel, Deputy Secretary

Economics and Statistics Administration

J. Antonio Villamil, Under Secretary

for Economic Affairs

BUREAU OF THE CENSUS

Barbara Everitt Bryant, Director
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BUREAU OF THE CENSUS

Harry A. Scarr, Deputy Director

Charles D. Jones, Associate Director for

Decennial Census

William P. Butz, Associate Director for

Demographic Programs

Bryant Benton, Associate Director for

Field Operations

Bryant Benton, Acting Associate Director for

Management Services

Peter A. Bounpane, Assistant Director for

Decennial Census

Economics and Statistics

Administration

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

Washington, DC 20402.
 JOBNAME: No Job Name PAGE: 1 SESS: 14 OUTPUT: Tue Nov 17 09:46:25 1992 / node2/ F main F / 90dec/ cph2/ st/ con

List of Statistical Tables ---------------------------------------------------------------------------------------------------- iv

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

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

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

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

APPENDIXES

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

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

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

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

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

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

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

CONTENTS

Page

CONTENTS iii
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LIST OF STATISTICAL TABLES

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

Table Page

1. Population: Earliest Census to 1990 1

State

Urban and Rural

2. Housing Units: 1950 to 1990 2

State

Urban and Rural

3. Population and Housing Units: 1940

to 1990 3

State

County

4. Land Area, Population, and Housing

Units: 1990 4

State

County

5. Population by Urban and Rural

Residence: 1990 5

State

County

6. Housing Units by Urban and Rural

Residence: 1990 6

State

County

7. Land Area by Urban and Rural

Residence: 1990 7

State

County

8. Population and Housing Units, 1970

to 1990; Area Measurements and

Density: 1990 10

State

County

County Subdivision

Place

9. Population and Housing Units, 1970

to 1990; Area Measurements and

Density: 1990 32

Place and [In Selected States]

County Subdivision

10. 1990 Population Rank; Population

and Housing Units: 1980 and 1990 37

Place [2,500 or More Persons]

11. Population 1990 and 1980; Housing

Units and Land Area: 1990 38

State

Urban and Rural and Size of Place

Table Page

12. Urban and Rural Population: 1930

to 1990 39

Size of Place

13. Population Inside and Outside

Metropolitan Area by Urban and

Rural and Size of Place: 1990 40

State

Inside Metropolitan Area

Outside Metropolitan Area

14. Housing Units Inside and Outside

Metropolitan Area by Urban and

Rural and Size of Place: 1990 42

State

Inside Metropolitan Area

Outside Metropolitan Area

15. Land Area in Square Kilometers

Inside and Outside Metropolitan

Area by Urban and Rural and Size

of Place: 1990 44

State

Inside Metropolitan Area

Outside Metropolitan Area

16. Land Area in Square Miles Inside

and Outside Metropolitan Area by

Urban and Rural and Size of Place:

1990 46

State

Inside Metropolitan Area

Outside Metropolitan Area

17. Population Inside and Outside

Metropolitan Area by Size of Place:

1990 48

State

Inside Metropolitan Area

Outside Metropolitan Area

18. Housing Units Inside and Outside

Metropolitan Area by Size of Place:

1990 50

State

Inside Metropolitan Area

Outside Metropolitan Area

19. Land Area in Square Kilometers

Inside and Outside Metropolitan

Area by Size of Place: 1990 52

State

Inside Metropolitan Area

Outside Metropolitan Area

20. Land Area in Square Miles Inside

and Outside Metropolitan Area by

Size of Place: 1990 54

State

Inside Metropolitan Area

Outside Metropolitan Area

iv CONTENTS
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Table Page

21. Population and Housing Units 1970

to 1990; Land Area and Density for

Metropolitan Area: 1990 56

Metropolitan Area

22. Population, Housing Units, and Land

Area for Metropolitan Area by

Population Size Class of

Metropolitan Area: 1990 57

Urban and Rural

Population Size Class of

Metropolitan Area

Metropolitan Area

Table Page

23. Population, Housing Units, and Land

Area for Urbanized Area: 1990 60

Urbanized Area

24. Population, Housing Units, and Land

Area for Urbanized Area by

Population Size Class of Urbanized

Area: 1990 61

Size of Place

Population Size Class of Urbanized

Area

Urbanized Area

CONTENTS v
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HOW TO USE THIS CENSUS REPORT

CONTENTS

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

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

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

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

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

INTRODUCTION

Data from the 1990 census are presented in several

different report series. These series are published under

the following three subject titles:

1. 1990 Census of Population (1990 CP)

2. 1990 Census of Housing (1990 CH)

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

The types of data and the geographic areas shown in

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

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

Puerto Rico, and the Virgin Islands of the United States

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

Some series include reports for American Indian and

Alaska Native areas, metropolitan areas, and urbanized

areas. See appendix F for detailed information about the

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

other related materials; and sources of assistance.

The data from the 1990 census were derived from a

limited number of basic questions asked of the entire

population and about every housing unit (referred to as the

100-percent questions), and from additional questions

asked of a sample of the population and housing units

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

only the 100-percent questions and a long form containing

both the 100-percent questions and the additional sample

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

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

subjects that are covered by the 100-percent and sample

components of the 1990 census.

Legal provision for this census, which was conducted as

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

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

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

States Code.

HOW TO FIND GEOGRAPHIC AREAS AND

SUBJECT-MATTER DATA

This report includes a table finding guide to assist the

user in locating those statistical tables that contain the

data that are needed. The table finding guide lists the

geographic areas and the subjects shown in this report. To

determine which tables in this report show data for a

particular topic, find the subject in the column headings at

the top of the table finding guide and then look down the

left-hand column for the desired type of geographic area.

Below is an example of a table finding guide.

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HOW TO USE THE STATISTICAL TABLES

Parts of a Statistical Table

The census data included in printed reports are arranged

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

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

A typical census report table is illustrated below.

The heading consists of the table number, title, and

headnote. The table number indicates the position of the

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

indicating the classification, nature, and time reference of

the data presented in the table. The headnote is enclosed

in brackets and is located under the title. It contains

statements that qualify, explain, or provide information

pertaining to the entire table.

The boxhead is under the heading. This portion of the

table, which contains the individual column heads or

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

boxhead of many tables, a spanner appears across and

above two or more column heads or across two or more

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

qualify items below it or separate the table into identifiable

blocks in terms of major aspects of the data.

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

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

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

considered to be an extension of the table title and usually

shows generic geographic area designations and restrictions.

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

better understand the contents of the table. Usually, a

block of data lines is preceded by a sidehead. The

sidehead, similar to a spanner, describes and classifies the

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

indicates the relationship of one data line to another.

Indented data lines represent subcategories that in most

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

desirable to show one or more single-line subcategories

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

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

wording of the data line.

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

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

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

right-hand edge of the page.

Both geographic and subject-matter terms appear in

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

used in the tables because census terms often are defined

in special ways that reflect the manner in which the

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

Subject-matter terms are defined in appendix B.

Symbols and Geographic Abbreviations

The following symbols are used in the tables and

explanations of subjects covered in this report:

• A dash ‘‘–’’ represents zero or a figure or percent that

rounds to less than 0.1.

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

• (NA) means not available.

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

since publication of 1980 reports or that the area was

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

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

Housing Unit Counts reports.

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

indicates that there has been a geographic change(s)

(for example, an annexation or detachment, a new

incorporation, or a name change) since the information

published for the 1980 census for that area. This symbol

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

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

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Housing Unit Counts report, for that State. The information for all States appears in the ‘‘User Notes’’ section of

the technical documentation for Summary Tape Files 1

and 3.

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

denotes that the median falls in the initial or terminal

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

Measures’’ in appendix B.)

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

The following geographic abbreviations are used in the

tables and explanations of subjects covered in this report:

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

hierarchical presentation indicates that the geographic

entity is only partially located in the superior geographic

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

county subdivision-place hierarchy indicates that the

place is located in more than one county subdivision.

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

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

and other geographic boundaries, depending on the

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

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

block, which is unique within all geographic entities in

census products.

• BG is block group.

• BNA is block numbering area.

• CDP is census designated place.

• CMSA is consolidated metropolitan statistical area.

• MA is metropolitan area.

• MSA is metropolitan statistical area.

• PMSA is primary metropolitan statistical area.

• TDSA is tribal designated statistical area.

• TJSA is tribal jurisdiction statistical area.

• unorg. is unorganized territory.

• VTD is voting district.

Census tables often include derived measures such as

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

GRAPHICS

Charts, statistical maps, and other graphic summaries

are included in some 1990 census reports. If graphics are

shown in a report, they are presented immediately after the

‘‘User Notes’’ section.

USER NOTES

User notes include corrections, errata, and related

explanatory information. This section appears directly before

the statistical tables in census reports unless graphics are

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

to be reflected in the text or tables themselves.

CONTENTS OF THE APPENDIXES

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

reports.

Appendix B—Contains definitions for the subject-matter

items used in census reports, including explanations of

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

housing characteristics, the population characteristics are

described first, followed by the explanations of the housing

subjects.

Appendix C—Provides information on confidentiality of

the data, allocations and substitutions, and sources of

errors in the data.

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

overview of data collection operations, and describes

processing procedures used to convert data from unedited

questionnaires to final 1990 publications and tapes. This

appendix also clarifies the procedures used to collect data

for persons abroad at the time of the census, where

persons on military bases or away at school were counted,

how data were collected for persons in institutions, and

which citizens of foreign countries were included in the

U.S. data.

Appendix E—Presents a facsimile of the 1990 census

questionnaire pages and the respondent instructions used

to collect the data in this report.

Appendix F—Summarizes the 1990 census data products

program by describing the information available in printed

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

assistance.

Appendix G—Contains maps depicting the geographic

areas shown in this report.

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TABLE FINDING GUIDE

Subjects by Type of Geographic Area and Table Number

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

Area

Population counts Housing unit counts

Land area

Density

Number

of places

1990

census

Previous

censuses

Change

from

previous

censuses

1990

census

Previous

censuses

Change

from

previous

censuses

PopulationHousing

unit

THE STATE

Total. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,3,4,5,8,

11,13,17,

22

1,3,8,11 1,4 2,3,4,6,8,

11,14,18,

22

2,3,8 2,4 4,7,8,11,

15,16,19,

20,22

4,8 4,8 11,13,14,

15,16,17,

18,19,20

Urban and rural . . . . . . . . . . . . . . . . . . 1,5,11,12,

13,22

1,11,12 1,5 2,6,11,

14,22

2 2,6 7,11,15,

16,22

... ... 1,11,12,13,

14,15,16

Urban and rural by size of place . . . 5,11,12,

13,22

11,12 ... 6,11,14,

22

... ... 7,11,15,

16,22

... ... 11,12,13,

14,15,16

Inside and outside metropolitan

area by urban and rural and size

of place . . . . . . . . . . . . . . . . . . . . . . . . 13,22 ... ... 14,22 ... ... 15,16,22 ... ... 13,14,15,

16

Inside and outside metropolitan

area by size of place . . . . . . . . . . . . 13,17,22 ... ... 14,18,22 ... ... 15,16,19,

20,22

... ... 13,14,15,

16,17,18,

19,20

Inside and outside urbanized area

by size of place . . . . . . . . . . . . . . . . . 24 ... ... 24 ... ... 24 ... ... ...

COUNTY

Total . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,4,8 3,8 4 3,4,8 3,8 4 4,7,8 4,8 4,8 ...

Urban and rural . . . . . . . . . . . . . . . . . . 5 ... 5 6 ... 6 7 ... ... ...

Urban and rural by size of place . . . 5 ... ... 6 ... ... 7 ... ... ...

PLACE

By county and county subdivision . . 8 8 ... 8 8 ... 8 8 8 ...

Alphabetically for the State . . . . . . . . 9 9 ... 9 9 ... 9 9 9 ...

By 1990 population rank . . . . . . . . . . 10 10 ... 10 10 ... ... ... ... ...

COUNTY SUBDIVISION

By county . . . . . . . . . . . . . . . . . . . . . . . 8 8 ... 8 8 ... 8 8 8 ...

Alphabetically for the State 1 . . . . . . 9 9 ... 9 9 ... 9 9 9 ...

METROPOLITAN AREA

Total and geographic components . 21 21 ... 21 21 ... 21 21 21 ...

By urban and rural and population

size class of metropolitan area. . . . 22 ... ... 22 ... ... 22 ... ... ...

URBANIZED AREA

Total and geographic components . 23 ... ... 23 ... ... 23 23 23 ...

By size of place and population

size class of urbanized area . . . . . . 24 ... ... 24 ... ... 24 ... ... ...

... Not applicable.

1

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

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

TABLE FINDING GUIDE II–1
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USER NOTES

Additional information concerning this 1990 census

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

receive these User Notes, contact:

Data User Services Division

Customer Services

Bureau of the Census

Washington, DC 20233

301-763-4100

Questions concerning the content of this report may be

directed to:

Robert C. Speaker

Population Division

Population and Housing Programs Branch

Bureau of the Census

Washington, DC 20233

ADDITIONAL DEFINITIONS AND EXPLANATIONS OF DATA

GENERAL

User Note 1

The user should note that there are limitations to many

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

report for further explanations on the limitations of the

data.

GEOGRAPHIC NAMES AND PRESENTATION

SOUTH DAKOTA

User Note 1

The Census Bureau has identified a problem for the

following county subdivision outline map: map section 4.

For further information, please contact: Data Users Services Division, Customer Services, U.S. Bureau of the

Census, Washington, DC 20233-5300, telephone 301-763-

4100 (fax 301-763-4794).

User Note 2

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.

HISTORICAL INFORMATION

South Dakota was organized as a State from part of

Dakota Territory and was admitted to the Union in 1889

simultaneously with North Dakota, as the thirty-ninth and

fortieth States. The 1870 population for South Dakota is of

that part of Dakota Territory which now comprises South

Dakota and a small part of Nebraska.

GEOGRAPHIC CHANGE NOTES

The county subdivisions in this State are minor civil

divisions (MCD’s) known as townships; some counties

have unorganized territory. Cities and towns are independent of any MCD, and the Census Bureau treats them as

the statistical equivalents of MCD’s as well as reporting

them as places. See appendix A for additional information.

The year, where shown parenthetically, relates to the year

the action was effective; the population and housing unit

counts that follow, respectively, are as of April 1, 1980.

Counties, County Subdivisions, and Places

Aurora County—Annexations: Plankinton city, from Plankinton township.

Beadle County—Annexations: Huron city, from Clyde and

Theresa townships; Iroquois city, from Logan township.

Bon Homme County—Annexations: Tabor town, from

Bon Homme unorganized territory.

Brookings County—Annexations: Brookings city, from

Aurora, Brookings, and Medary townships; Bruce city, from

Sterling township; Volga city, from Volga township.

Brown County—Organized: Prairiewood township (1981;

124 and 41) from Ordway township (remaining counts: 263

and 89). Annexations: Aberdeen city, from Aberdeen township; Groton city, from Groton township.

Butte County—Disorganized: Cottonwood township (1989;

7 and 3), added to East Butte unorganized territory (combined counts: 638 and 230). Annexations: Belle Fourche

city, from West Butte unorganized territory. Valley township organized from part of Vale township and subsequently disorganized; its area added to East Butte and

West Butte unorganized territories.

USER NOTES III–1
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Charles Mix County—Incorporated: Pickstown town (1986;

114 and 70) from White Swan township (remaining counts:

402 and 201). Disorganized: Castalia township (1981; 99

and 32), became Castalia unorganized territory. Annexations: Platte city, from Platte township.

Clark County—Annexations: Clark city, from Lincoln township. Detachments: Willow Lake city, to Collins township.

Clay County—Annexations: Vermillion city, from Vermillion township.

Codington County—Annexations: Watertown city, from

Elmira, Lake, Pelican, and Sheridan townships. Detachments: Kranzburg town, to Kranzburg township.

Corson County—Disorganized: Fairview township (1986;

25 and 12) and McLaughlin township (1986; 556 and 142),

both added to Central Corson unorganized territory (combined counts: 1,980 and 532); Thunder Hawk township

(1980; 103 and 41), became Lemmon, No. 2 unorganized

territory.

Custer County—Annexations: Custer city, from West Custer

unorganized territory; Hermosa town, from East Custer

unorganized territory.

Davison County—Annexations: Mitchell city, from Mitchell township.

Day County—Annexations: Webster city, from Webster

township.

Deuel County—Annexations: Clear Lake city, from Clear

Lake township; Toronto town, from Scandinavia township.

Douglas County—Annexations: Corsica city, from Walnut

Grove township.

Edmunds County—Organized: Harmony township (1986;

167 and 30), from all of Harmony unorganized territory.

Disincorporated: Loyalton town (1982; 6 and 6), added to

Vermont township (combined counts: 58 and 25).

Fall River County—Disincorporated: Ardmore town (1984;

16 and 12), added to Southwest Fall River unorganized

territory (combined counts: 434 and 198). Disorganized:

Dryden township (1989; 64 and 33), added to Northeast

Fall River and Southwest Fall River unorganized territories.

Annexations: Edgemont city, from Southwest Fall River

unorganized territory.

Faulk County—Organized: Irving township (1988; 25 and

8) from Southwest Faulk unorganized territory (remaining

counts: 116 and 53). Disorganized: Pulaski township (1980;

28 and 13), became Pulaski unorganized territory.

Grant County—Annexations: Milbank city, from Alban and

Grant Center townships; Revillo town, from Adams township; Stockholm town, from Stockholm township.

Gregory County—Disorganized: Spring Valley township

(1986; 104 and 38), became Spring Valley unorganized

territory; Rhoades township (1988; 224 and 87) combined

with Northeast Gregory unorganized territory and West

Gregory unorganized territory to form North Gregory unorganized territory (combined counts: 790 and 312). Annexations: Burke city, from Burke township.

Haakon County—Disorganized: Grandfield township (1985;

39 and 13) and Mattison township (1984; 11 and 5), both

added to East Haakon unorganized territory (combined

counts: 666 and 259).

Hand County—Disorganized: Fairview township (1983;

163 and 53), Harrison township (1982; 62 and 19), Howell

township (1984; 70 and 21), and Spring township (1983; 72

and 22), all became Northwest Hand unorganized territory

(combined counts: 367 and 115). Annexations: Miller city,

from Miller township.

Harding County—MCD changes: North Harding unorganized territory added area from South Harding unorganized

territory.

Hughes County—Disorganized: De Grey township (1987;

50 and 26) added to West Hughes unorganized territory

(combined counts: 1,013 and 364); Harrold township (1987;

67 and 24) added to North Hughes unorganized territory

(combined counts: 251 and 95). Annexations: Harrold

town, from North Hughes unorganized territory; Pierre city,

from West Hughes unorganized territory.

Hutchinson County—Annexations: Parkston city, from

Liberty township.

Hyde County—Disorganized: Washington township (1982;

40 and 15), added to North Hyde and Central Hyde

unorganized territories. Additional MCD changes: Central

Hyde unorganized territory added area from North Hyde

unorganized territory.

Jackson County—Name changes: East Washabaugh unorganized territory renamed Southeast Jackson unorganized

territory; West Washabaugh unorganized territory renamed

Southwest Jackson unorganized territory.

Jones County—New unorganized territories: Central Jones,

includes disorganized townships of Highland (1989; 34 and

14) and Murdo (1980; 27 and 18) and former Lincoln

unorganized territory (21 and 9) (combined counts: 82 and

41); North Jones, includes disorganized townships of

Banner (1980; 5 and 3) and Washington (1981; 3 and 3),

and former unorganized territories of Northwest Jones (19

and 16) and War Creek (22 and 9) (combined counts: 49

and 31).

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Kingsbury County—Annexations: De Smet city, from De

Smet township; Lake Preston city, from Baker township.

Lake County—Annexations: Madison city, from Lake View

township.

Lawrence County—Annexations: Central City city, from

South Lawrence unorganized territory; Deadwood city,

from North Lawrence and South Lawrence unorganized

territories; Lead city, from South Lawrence unorganized

territory; Spearfish city, from North Lawrence unorganized

territory.

Lincoln County—Annexations: Canton city, from Canton

township; Harrisburg city, from La Valley township; Lennox

city, from Grant township; Sioux Falls city, from Delapre

and Springdale townships. Detachments: Lennox city, to

Perry township.

Lyman County—Disorganized: Black Dog township (1989;

23 and 12), became Black Dog unorganized territory;

McClure township (1986; 14 and 10), became McClure

unorganized territory; Annin township (1986; 20 and 13),

Brule township (1984; 17 and 10), Grouse Creek township

(1986; 19 and 7), and Lund township (1985; 32 and 11),

added to Northeast Lyman unorganized territory (combined counts: 1,125 and 367); Edna township (1980; 17

and 9) and White River township (1988; 38 and 12), added

to South Lyman unorganized territory (combined counts:

62 and 23). Annexations: Oacoma town, from Oacoma

township.

McPherson County—Annexations: Eureka city, from West

McPherson unorganized territory.

Meade County—Organized: Smithville township (1983; 29

and 11), from Belle Fourche-Cheyenne Valleys unorganized territory (remaining counts: 6,422 and 1,565). Annexations: Faith city, from North Meade unorganized territory;

Sturgis city, from Southwest Meade unorganized territory.

Detachments: Faith city, to North Meade unorganized

territory.

Mellette County—Organized: New Surprise Valley township (1984; 8 and 4), from Surprise Valley township (remaining counts: 39 and 13). Disorganized: Pine Creek township

(1986; 6 and 3) and Pure Water township (1982; 23 and

16), added to Central Mellette unorganized territory (combined counts: 647 and 226). Annexations: White River city,

from Central Mellette unorganized territory.

Miner County—Annexations: Howard city, from Howard

township.

Minnehaha County—Name change: Brandon city previously shown as Brandon City city. Merged: Sioux Falls

township into Split Rock township (1983; combined counts:

4,085 and 1,369). Annexations: Brandon city, from Brandon and Split Rock townships; Sioux Falls city, from

Mapleton, Split Rock, and Wayne townships. Detachments: Humboldt town, to Humboldt township.

Moody County—Annexations: Flandreau city, from Flandreau township.

Pennington County—Name changes: All townships shown

without numeric designation in 1980. MCD change: Central

Pennington unorganized territory added area from Rapid

City East unorganized territory. Annexations: Box Elder

city, from Central Pennington unorganized territory; Hill

City city, from West Pennington unorganized territory; New

Underwood city, from East Central Pennington unorganized territory; Rapid City city, from Central Pennington

unorganized territory; Wall town, from Fairview No. 22

township. Deleted CDP: Villa Ranchaero.

Perkins County—Disorganized: Independence township

(1986; 26 and 12) abolished and became Independence

unorganized territory; Seim township (1988; 20 and 38)

and Whitney township (1985; 24 and 11) abolished and

added to East Perkins unorganized territory (combined

counts: 187 and 100, which also includes former Hudgins

unorganized territory).

Potter County—MCD change: Central Potter unorganized

territory added area from East Potter unorganized territory.

Annexations: Gettysburg city, from Central Potter unorganized territory; Tolstoy town, from East Potter unorganized

territory.

Roberts County—Annexations: Rosholt town, from Victor

township; Sisseton city, from Sisseton township; Wilmot

city, from Garfield township. Detachments: Summit town,

to Summit township.

Spink County—Annexations: Redfield city, from Redfield

township.

Tripp County—Disincorporated: Carter town (1983; 7 and

6), added to Carter township (combined counts: 72 and

28). Annexations: Winner city, from Lamro township.

Turner County—Annexations: Viborg city, from Daneville

and Swan Lake townships.

Union County—Annexations: Beresford city, from Prairie

township; North Sioux City city, from Big Sioux township.

Yankton County—Annexations: Irene city, from Turkey

Valley township; Yankton city, from Mission Hill township

and Southeast Yankton and West Yankton unorganized

territories.

Ziebach County—Annexed into Ziebach County: Eagle

Butte city, from South Ziebach unorganized territory.

USER NOTES III–3
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American Indian Areas

Cheyenne River Reservation—Boundary change; former

trust land now part of the reservation.

Flandreau Reservation—Boundary change.

Lake Traverse (Sisseton) Reservation—Reported as

Sisseton Reservation in 1980.

Northern Cheyenne Trust Land—Identified since 1980.

Pine Ridge Trust Land—Boundary change.

Rosebud Trust Land—Boundary change.

Turtle Mountain Trust Land—Identified since 1980.

III–4 USER NOTES
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Table 1. Population: Earliest Census to 1990

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]

State

Urban and Rural

The State

Change from preceding

census

Urban

Change from preceding

census

Rural

Change from preceding

census

Percent of total population

Total population Population Percent

Number of

places of

2,500 or more Population Population Percent Population Population Percent Urban Rural

Current urban definition:

1990 (Apr. 1)---------------------- 696 004 5 236 .8 26 347 903 27 126 8.5 348 101 –21 890 –5.9 50.0 50.0

1980 (Apr. 1)---------------------- 690 768 24 511 3.7 27 320 777 24 149 8.1 369 991 1 112 .3 46.4 53.6

1970 (Apr. 1)---------------------- 666 257 –14 257 –2.1 26 296 628 29 448 11.0 368 879 –44 455 –10.8 44.6 55.4

1960 (Apr. 1)---------------------- 680 514 27 774 4.3 25 267 180 50 470 23.3 413 334 –22 696 –5.2 39.3 60.7

1950 (Apr. 1)---------------------- 652 740 9 779 1.5 25 216 710 ... ... 436 030 ... ... 33.2 66.8

Previous urban definition:

1960 (Apr. 1)---------------------- 680 514 27 774 4.3 25 265 328 49 171 22.7 415 186 –21 397 –4.9 39.0 61.0

1950 (Apr. 1)---------------------- 652 740 9 779 1.5 25 216 157 58 070 36.7 436 583 –48 291 –10.0 33.1 66.9

1940 (Apr. 1)---------------------- 642 961 –49 888 –7.2 19 158 087 27 180 20.8 484 874 –77 068 –13.7 24.6 75.4

1930 (Apr. 1)---------------------- 692 849 56 302 8.8 16 130 907 29 035 28.5 561 942 27 267 5.1 18.9 81.1

1920 (Jan. 1)---------------------- 636 547 52 659 9.0 14 101 872 25 403 33.2 534 675 27 256 5.4 16.0 84.0

1910 (Apr. 15)--------------------- 583 888 182 318 45.4 13 76 469 35 533 86.8 507 419 146 785 40.7 13.1 86.9

1900 (June 1)---------------------- 401 570 52 970 15.2 9 40 936 12 381 43.4 360 634 40 589 12.7 10.2 89.8

1890 (June 1)---------------------- 348 600 250 332 254.7 7 28 555 21 347 296.2 320 045 228 985 251.5 8.2 91.8

1880 (June 1)---------------------- 98 268 86 492 734.5 2 7 208 7 208 ... 91 060 79 284 673.3 7.3 92.7

1870 (June 1)---------------------- 11 776 ... ... – – ... ... 11 776 ... ... – 100.0

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 1
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Table 2. Housing Units: 1950 to 1990

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]

State

Urban and Rural

The State

Change from preceding census

Urban

Change from preceding census

Rural

Change from preceding

census

Percent of total housing units

Total housing units Housing units Percent Housing units Housing units Percent Housing units Housing units Percent Urban Rural

Current urban definition:

1990 (Apr. 1)---------------------- 292 436 15 439 5.6 142 947 15 746 12.4 149 489 –307 –.2 48.9 51.1

1980 (Apr. 1)---------------------- 276 997 51 580 22.9 127 201 31 013 32.2 149 796 20 731 16.1 45.9 54.1

1970 (Apr. 1)---------------------- 225 417 8 968 4.1 96 188 12 219 14.6 129 065 –3 415 –2.6 42.7 57.3

1960 (Apr. 1)---------------------- 216 449 21 876 11.2 83 969 18 263 27.8 132 480 3 613 2.8 38.8 61.2

1950 (Apr. 1)---------------------- 194 573 ... ... 65 706 ... ... 128 867 ... ... 33.8 66.2

2 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
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Table 3. P

o

pulation and

H

ousing

Units: 1940 to 1990

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]StateCounty

Population 

1990 1980 1970 1960 1950 1940 1990 1980 

The State ------------------------------ 696 004 690 768 666 257 680 514 652 740 642 961 292 436 276 997 

COUNTYAurora County ---------------------------------- 3 135 3 628 4 183 4 749 5 020 5 387 1 342 1 450 Beadle County----------------------------------- 18 253 19 195 20 877 21 682 21 082 19 648 8 093 8 229 Bennett County ---------------------------------- 3 206 3 044 3 088 3 053 3 396 3 983 1 292 1 146 Bon Homme County ------------------------------ 7 089 8 059 8 577 9 229 9 440 10 241 3 087 3 238 Brookings County -------------------------------- 25 207 24 332 22 158 20 046 17 851 16 560 9 824 9 074 Brown County----------------------------------- 35 580 36 962 36 920 34 106 32 617 29 676 15 101 14 674 Brule County------------------------------------ 5 485 5 245 5 870 6 319 6 076 6 195 2 275 2 170 Buffalo County ---------------------------------- 1 759 1 795 1 739 1 547 1 615 1 853 535 499 Butte County ----------------------------------- 7 914 8 372 7 825 8 592 8 161 8 004 3 502 3 403 Campbell County--------------------------------- 1 965 2 243 2 866 3 531 4 046 5 033 944 960 Charles Mix County------------------------------- 9 131 9 680 9 994 11 785 15 558 13 449 3 751 3 802 Clark County------------------------------------ 4 403 4 894 5 515 7 134 8 369 8 955 2 026 2 176 Clay County ------------------------------------ 13 186 13 689 12 923 10 810 10 993 9 592 4 892 4 924 Codington County -------------------------------- 22 698 20 885 19 140 20 220 18 944 17 014 9 539 8 512 Corson County ---------------------------------- 4 195 5 196 4 994 5 798 6 168 6 755 1 557 1 683 Custer County----------------------------------- 6 179 6 000 4 698 4 906 5 517 6 023 3 003 2 785 Davison County---------------------------------- 17 503 17 820 17 319 16 681 16 522 15 336 7 490 7 229 Day County ------------------------------------ 6 978 8 133 8 713 10 516 12 294 13 565 3 914 4 033 Deuel County ----------------------------------- 4 522 5 289 5 686 6 782 7 689 8 450 2 208 2 330 Dewey County ---------------------------------- 5 523 5 366 5 170 5 257 4 968 5 751 2 123 1 871 Douglas County---------------------------------- 3 746 4 181 4 569 5 113 5 636 6 348 1 517 1 595 Edmunds County --------------------------------- 4 356 5 159 5 548 6 079 7 275 7 814 2 004 2 111 Fall River County--------------------------------- 7 353 8 439 7 505 10 688 10 439 8 089 3 692 3 995 Faulk County------------------------------------ 2 744 3 327 3 893 4 397 4 752 5 168 1 286 1 426 Grant County ----------------------------------- 8 372 9 013 9 005 9 913 10 233 10 552 3 549 3 567 Gregory County---------------------------------- 5 359 6 015 6 710 7 399 8 556 9 554 2 595 2 610 Haakon County ---------------------------------- 2 624 2 794 2 802 3 303 3 167 3 515 1 071 1 128 Hamlin County ---------------------------------- 4 974 5 261 5 520 6 303 7 058 7 562 2 500 2 554 Hand County------------------------------------ 4 272 4 948 5 883 6 712 7 149 7 166 2 053 2 018 Hanson County ---------------------------------- 2 994 3 415 3 781 4 584 4 896 5 400 1 232 1 253 Harding County ---------------------------------- 1 669 1 700 1 855 2 371 2 289 3 010 776 803 Hughes County ---------------------------------- 14 817 14 220 11 632 12 725 8 111 6 624 6 255 5 607 Hutchinson County ------------------------------- 8 262 9 350 10 379 11 085 11 423 12 668 3 657 3 867 Hyde County------------------------------------ 1 696 2 069 2 515 2 602 2 811 3 113 816 863 Jackson County---------------------------------- 2 811 3 437 1 531 1 985 1 768 1 955 1 147 1 296 Jerauld County ---------------------------------- 2 425 2 929 3 310 4 048 4 476 4 752 1 182 1 210 Jones County ----------------------------------- 1 324 1 463 1 882 2 066 2 281 2 509 699 725 Kingsbury County -------------------------------- 5 925 6 679 7 657 9 227 9 962 10 831 2 765 3 042 Lake County ------------------------------------ 10 550 10 724 11 456 11 764 11 792 12 412 5 148 5 082 Lawrence County--------------------------------- 20 655 18 339 17 453 17 075 16 648 19 093 9 092 7 955 Lincoln County ---------------------------------- 15 427 13 942 11 761 12 371 12 767 13 171 5 823 5 348 Lyman County----------------------------------- 3 638 3 864 4 060 4 428 4 572 5 045 1 523 1 579 

McCook County---------------------------------- 5 688 6 444 7 246 8 268 8 828 9 793 2 371 2 585 McPherson County ------------------------------- 3 228 4 027 5 022 5 821 7 071 8 353 1 566 1 699 Marshall County --------------------------------- 4 844 5 404 5 965 6 663 7 835 8 880 2 640 2 765 Meade County ---------------------------------- 21 878 20 717 17 020 12 044 11 516 9 735 7 592 7 098 

Mellette County --------------------------------- 2 137 2 249 2 420 2 664 3 046 4 107 910 868 

Miner County ----------------------------------- 3 272 3 739 4 454 5 398 6 268 6 836 1 474 1 657 Minnehaha County ------------------------------- 123 809 109 435 95 209 86 575 70 910 57 697 49 780 42 680 

Moody County ---------------------------------- 6 507 6 692 7 622 8 810 9 252 9 341 2 666 2 729 

Pennington County ------------------------------- 81 343 70 361 59 349 58 195 34 053 23 799 33 741 28 217 Perkins County ---------------------------------- 3 932 4 700 4 769 5 977 6 776 6 585 2 007 2 082 Potter County ----------------------------------- 3 190 3 674 4 449 4 926 4 688 4 614 1 664 1 534 Roberts County ---------------------------------- 9 914 10 911 11 678 13 190 14 929 15 887 4 728 4 768 Sanborn County --------------------------------- 2 833 3 213 3 697 4 641 5 142 5 754 1 326 1 438 Shannon County --------------------------------- 9 902 11 323 8 198 6 000 5 669 5 366 2 699 2 666 Spink County ----------------------------------- 7 981 9 201 10 595 11 706 12 204 12 527 3 545 3 799 Stanley County ---------------------------------- 2 453 2 533 2 457 4 085 2 055 1 959 1 056 968 Sully County ------------------------------------ 1 589 1 990 2 362 2 607 2 713 2 668 811 831 Todd County ------------------------------------ 8 352 7 328 6 606 4 661 4 758 5 714 2 572 2 366 Tripp County------------------------------------ 6 924 7 268 8 171 8 761 9 139 9 937 3 023 3 036 Turner County ----------------------------------- 8 576 9 255 9 872 11 159 12 100 13 270 3 800 4 023 Union County ----------------------------------- 10 189 10 938 9 643 10 197 10 792 11 675 4 286 4 452 Walworth County -------------------------------- 6 087 7 011 7 842 8 097 7 648 7 274 2 928 2 965 Yankton County --------------------------------- 19 252 18 952 19 039 17 551 16 804 16 725 7 571 7 168 Ziebach County---------------------------------- 2 220 2 308 2 221 2 495 2 606 2 875 800 781 

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 3
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Table 4. Land

Are

a, P

o

pulation, and

H

ousing

Units: 1990

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]StateCounty

Land area Population Housing units 

Square kilometers Square miles Total Per square

kilometer Per square mile Total Per square

kilometer Per square mile 1980 

The State ------------------------------ 196 570.6 75 896.0 696 004 3.5 9.2 292 436 1.5 3.9 

COUNTYAurora County ---------------------------------- 1 834.3 708.2 3 135 1.7 4.4 1 342 .7 1.9 Beadle County----------------------------------- 3 261.9 1 259.4 18 253 5.6 14.5 8 093 2.5 6.4 Bennett County ---------------------------------- 3 070.2 1 185.4 3 206 1.0 2.7 1 292 .4 1.1 Bon Homme County ------------------------------ 1 459.3 563.4 7 089 4.9 12.6 3 087 2.1 5.5 Brookings County -------------------------------- 2 057.8 794.5 25 207 12.2 31.7 9 824 4.8 12.4 Brown County----------------------------------- 4 436.2 1 712.8 35 580 8.0 20.8 15 101 3.4 8.8 Brule County------------------------------------ 2 121.3 819.0 5 485 2.6 6.7 2 275 1.1 2.8 Buffalo County ---------------------------------- 1 218.9 470.6 1 759 1.4 3.7 535 .4 1.1 Butte County ----------------------------------- 5 823.8 2 248.6 7 914 1.4 3.5 3 502 .6 1.6 Campbell County--------------------------------- 1 905.8 735.8 1 965 1.0 2.7 944 .5 1.3 Charles Mix County------------------------------- 2 844.5 1 098.3 9 131 3.2 8.3 3 751 1.3 3.4 Clark County------------------------------------ 2 481.2 958.0 4 403 1.8 4.6 2 026 .8 2.1 Clay County ------------------------------------ 1 066.1 411.6 13 186 12.4 32.0 4 892 4.6 11.9 Codington County -------------------------------- 1 781.3 687.8 22 698 12.7 33.0 9 539 5.4 13.9 Corson County ---------------------------------- 6 405.2 2 473.1 4 195 .7 1.7 1 557 .2 .6 Custer County----------------------------------- 4 034.6 1 557.8 6 179 1.5 4.0 3 003 .7 1.9 Davison County---------------------------------- 1 127.8 435.5 17 503 15.5 40.2 7 490 6.6 17.2 Day County ------------------------------------ 2 664.2 1 028.6 6 978 2.6 6.8 3 914 1.5 3.8 Deuel County ----------------------------------- 1 615.1 623.6 4 522 2.8 7.3 2 208 1.4 3.5 Dewey County ---------------------------------- 5 964.3 2 302.8 5 523 .9 2.4 2 123 .4 .9 Douglas County---------------------------------- 1 123.1 433.6 3 746 3.3 8.6 1 517 1.4 3.5 Edmunds County --------------------------------- 2 967.2 1 145.7 4 356 1.5 3.8 2 004 .7 1.7 Fall River County--------------------------------- 4 506.4 1 739.9 7 353 1.6 4.2 3 692 .8 2.1 Faulk County------------------------------------ 2 590.6 1 000.2 2 744 1.1 2.7 1 286 .5 1.3 Grant County ----------------------------------- 1 767.7 682.5 8 372 4.7 12.3 3 549 2.0 5.2 Gregory County---------------------------------- 2 631.4 1 016.0 5 359 2.0 5.3 2 595 1.0 2.6 Haakon County ---------------------------------- 4 696.0 1 813.1 2 624 .6 1.4 1 071 .2 .6 Hamlin County ---------------------------------- 1 324.0 511.2 4 974 3.8 9.7 2 500 1.9 4.9 Hand County------------------------------------ 3 721.1 1 436.7 4 272 1.1 3.0 2 053 .6 1.4 Hanson County ---------------------------------- 1 125.9 434.7 2 994 2.7 6.9 1 232 1.1 2.8 Harding County ---------------------------------- 6 916.8 2 670.6 1 669 .2 .6 776 .1 .3 Hughes County ---------------------------------- 1 919.1 741.0 14 817 7.7 20.0 6 255 3.3 8.4 Hutchinson County ------------------------------- 2 105.8 813.0 8 262 3.9 10.2 3 657 1.7 4.5 Hyde County------------------------------------ 2 230.2 861.1 1 696 .8 2.0 816 .4 .9 Jackson County---------------------------------- 4 841.5 1 869.3 2 811 .6 1.5 1 147 .2 .6 Jerauld County ---------------------------------- 1 373.4 530.3 2 425 1.8 4.6 1 182 .9 2.2 Jones County ----------------------------------- 2 514.0 970.6 1 324 .5 1.4 699 .3 .7 Kingsbury County -------------------------------- 2 171.5 838.4 5 925 2.7 7.1 2 765 1.3 3.3 Lake County ------------------------------------ 1 458.9 563.3 10 550 7.2 18.7 5 148 3.5 9.1 Lawrence County--------------------------------- 2 072.2 800.1 20 655 10.0 25.8 9 092 4.4 11.4 Lincoln County ---------------------------------- 1 497.4 578.1 15 427 10.3 26.7 5 823 3.9 10.1 Lyman County----------------------------------- 4 247.8 1 640.1 3 638 .9 2.2 1 523 .4 .9 

McCook County---------------------------------- 1 488.1 574.6 5 688 3.8 9.9 2 371 1.6 4.1 McPherson County ------------------------------- 2 944.9 1 137.0 3 228 1.1 2.8 1 566 .5 1.4 Marshall County --------------------------------- 2 172.7 838.9 4 844 2.2 5.8 2 640 1.2 3.1 Meade County ---------------------------------- 8 989.5 3 470.8 21 878 2.4 6.3 7 592 .8 2.2 Mellette County --------------------------------- 3 384.1 1 306.6 2 137 .6 1.6 910 .3 .7 Miner County ----------------------------------- 1 477.3 570.4 3 272 2.2 5.7 1 474 1.0 2.6 Minnehaha County ------------------------------- 2 095.8 809.2 123 809 59.1 153.0 49 780 23.8 61.5 Moody County ---------------------------------- 1 346.0 519.7 6 507 4.8 12.5 2 666 2.0 5.1 

Pennington County ------------------------------- 7 190.8 2 776.4 81 343 11.3 29.3 33 741 4.7 12.2 Perkins County ---------------------------------- 7 437.9 2 871.8 3 932 .5 1.4 2 007 .3 .7 Potter County ----------------------------------- 2 244.3 866.5 3 190 1.4 3.7 1 664 .7 1.9 Roberts County ---------------------------------- 2 852.5 1 101.3 9 914 3.5 9.0 4 728 1.7 4.3 Sanborn County --------------------------------- 1 473.8 569.0 2 833 1.9 5.0 1 326 .9 2.3 Shannon County --------------------------------- 5 423.3 2 094.0 9 902 1.8 4.7 2 699 .5 1.3 Spink County ----------------------------------- 3 895.3 1 504.0 7 981 2.0 5.3 3 545 .9 2.4 Stanley County ---------------------------------- 3 738.3 1 443.4 2 453 .7 1.7 1 056 .3 .7 Sully County ------------------------------------ 2 608.0 1 007.0 1 589 .6 1.6 811 .3 .8 Todd County ------------------------------------ 3 595.5 1 388.2 8 352 2.3 6.0 2 572 .7 1.9 Tripp County------------------------------------ 4 179.3 1 613.6 6 924 1.7 4.3 3 023 .7 1.9 Turner County ----------------------------------- 1 597.7 616.9 8 576 5.4 13.9 3 800 2.4 6.2 Union County ----------------------------------- 1 192.4 460.4 10 189 8.5 22.1 4 286 3.6 9.3 Walworth County -------------------------------- 1 833.3 707.8 6 087 3.3 8.6 2 928 1.6 4.1 Yankton County --------------------------------- 1 351.0 521.6 19 252 14.3 36.9 7 571 5.6 14.5 Ziebach County---------------------------------- 5 082.9 1 962.5 2 220 .4 1.1 800 .2 .4 

4 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 5

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 5. P

o

pulation b

y

Urb

an and

Rural R

esid

ence: 1990

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]State County

Urban

Outside urbanized area

Rural

In place

Total population

Total urban

population

Inside urbanized

area Total

Place of

10,000 or

more

Place of

2,500 to

9,999

Total rural

population Total

Place of

1,000 to

2,499

Place of

less than

1,000 Other ru

The State ----------------------------- 696 004 347 903 163 986 183 917 120 678 63 239 348 101 144 660 60 479 84 181 203 4

COUNTYAurora County---------------------------------- 3 135 – –––– 3 135 1 346 – 1 346 1 7Beadle County ---------------------------------- 18 253 12 448 – 12 448 12 448 – 5 805 1 202 – 1 202 4 6Bennett County --------------------------------- 3 206 – –––– 3 206 1 151 1 151 – 2 0Bon Homme County------------------------------ 7 089 – –––– 7 089 3 982 1 201 2 781 3 1Brookings County-------------------------------- 25 207 16 270 – 16 270 16 270 – 8 937 3 462 1 263 2 199 5 4Brown County ---------------------------------- 35 580 24 927 – 24 927 24 927 – 10 653 2 643 1 196 1 447 8 0Brule County ----------------------------------- 5 485 – –––– 5 485 3 353 2 347 1 006 2 1Buffalo County --------------------------------- 1 759 – –––– 1 759 1 088 1 088 – 6Butte County ----------------------------------- 7 914 4 335 – 4 335 – 4 335 3 579 892 – 892 2 6Campbell County -------------------------------- 1 965 – –––– 1 965 984 – 984 9Charles Mix County ------------------------------ 9 131 – –––– 9 131 4 607 2 773 1 834 4 5Clark County ----------------------------------- 4 403 – –––– 4 403 2 043 1 292 751 2 3Clay County------------------------------------ 13 186 10 034 – 10 034 10 034 – 3 152 538 – 538 2 6Codington County ------------------------------- 22 698 17 592 – 17 592 17 592 – 5 106 882 – 882 4 2Corson County---------------------------------- 4 195 – –––– 4 195 1 619 – 1 619 2 5Custer County ---------------------------------- 6 179 – –––– 6 179 2 314 1 741 573 3 8Davison County --------------------------------- 17 503 13 798 – 13 798 13 798 – 3 705 680 – 680 3 0Day County ------------------------------------ 6 978 – –––– 6 978 3 737 2 017 1 720 3 2Deuel County----------------------------------- 4 522 – –––– 4 522 2 174 1 247 927 2 3Dewey County ---------------------------------- 5 523 – –––– 5 523 2 734 1 423 1 311 2 7Douglas County --------------------------------- 3 746 – –––– 3 746 1 708 – 1 708 2 0Edmunds County -------------------------------- 4 356 – –––– 4 356 2 226 – 2 226 2 1Fall River County -------------------------------- 7 353 4 325 – 4 325 – 4 325 3 028 1 044 – 1 044 1 9Faulk County ----------------------------------- 2 744 – –––– 2 744 1 267 – 1 267 1 4Grant County----------------------------------- 8 372 3 879 – 3 879 – 3 879 4 493 1 182 – 1 182 3 3Gregory County --------------------------------- 5 359 – –––– 5 359 2 862 1 384 1 478 2 4Haakon County --------------------------------- 2 624 – –––– 2 624 1 310 1 077 233 1 3Hamlin County---------------------------------- 4 974 – –––– 4 974 2 483 – 2 483 2 4Hand County ----------------------------------- 4 272 – –––– 4 272 2 016 1 678 338 2 2Hanson County --------------------------------- 2 994 – –––– 2 994 1 028 – 1 028 1 9Harding County --------------------------------- 1 669 – –––– 1 669 634 – 634 1 0Hughes County --------------------------------- 14 817 12 906 – 12 906 12 906 – 1 911 509 – 509 1 4Hutchinson County ------------------------------- 8 262 – –––– 8 262 4 528 2 865 1 663 3 7Hyde County ----------------------------------- 1 696 – –––– 1 696 835 – 835 8Jackson County --------------------------------- 2 811 – –––– 2 811 1 532 – 1 532 1 2Jerauld County---------------------------------- 2 425 – –––– 2 425 1 405 1 083 322 1 0Jones County----------------------------------- 1 324 – –––– 1 324 802 – 802 5Kingsbury County-------------------------------- 5 925 – –––– 5 925 3 436 1 172 2 264 2 4Lake County ----------------------------------- 10 550 6 257 – 6 257 – 6 257 4 293 474 – 474 3 8Lawrence County -------------------------------- 20 655 10 598 – 10 598 – 10 598 10 057 5 180 4 104 1 076 4 8Lincoln County ---------------------------------- 15 427 4 196 1 409 2 787 – 2 787 11 231 4 405 2 116 2 289 6 8Lyman County ---------------------------------- 3 638 – –––– 3 638 2 129 – 2 129 1 5

McCook County --------------------------------- 5 688 – –––– 5 688 3 167 1 289 1 878 2 5McPherson County ------------------------------- 3 228 – –––– 3 228 1 798 1 197 601 1 4Marshall County -------------------------------- 4 844 – –––– 4 844 2 153 1 394 759 2 6Meade County---------------------------------- 21 878 9 660 – 9 660 – 9 660 12 218 2 543 1 995 548 9 6Mellette County--------------------------------- 2 137 – –––– 2 137 668 – 668 1 4Miner County----------------------------------- 3 272 – –––– 3 272 1 596 1 156 440 1 6Minnehaha County------------------------------- 123 809 102 977 99 434 3 543 – 3 543 20 832 7 937 3 746 4 191 12 8Moody County---------------------------------- 6 507 – –––– 6 507 3 247 2 311 936 3 2

Pennington County------------------------------- 81 343 66 491 61 124 5 367 – 5 367 14 852 3 976 1 553 2 423 10 8Perkins County---------------------------------- 3 932 – –––– 3 932 2 065 1 614 451 1 8Potter County ---------------------------------- 3 190 – –––– 3 190 2 216 1 510 706 9Roberts County --------------------------------- 9 914 – –––– 9 914 4 109 2 181 1 928 5 8Sanborn County--------------------------------- 2 833 – –––– 2 833 1 147 – 1 147 1 6Shannon County -------------------------------- 9 902 2 596 – 2 596 – 2 596 7 306 2 504 – 2 504 4 8Spink County----------------------------------- 7 981 2 770 – 2 770 – 2 770 5 211 1 527 – 1 527 3 6Stanley County --------------------------------- 2 453 – –––– 2 453 1 854 1 854 – 5Sully County ----------------------------------- 1 589 – –––– 1 589 843 – 843 7Todd County ----------------------------------- 8 352 – –––– 8 352 4 940 1 538 3 402 3 4Tripp County ----------------------------------- 6 924 3 354 – 3 354 – 3 354 3 570 396 – 396 3 1Turner County ---------------------------------- 8 576 – –––– 8 576 4 647 – 4 647 3 9Union County----------------------------------- 10 189 2 019 2 019 ––– 8 170 4 293 2 923 1 370 3 8Walworth County-------------------------------- 6 087 3 768 – 3 768 – 3 768 2 319 1 069 – 1 069 1 2Yankton County--------------------------------- 19 252 12 703 – 12 703 12 703 – 6 549 1 041 – 1 041 5 5Ziebach County --------------------------------- 2 220 – –––– 2 220 498 – 498 1 7

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 5
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 6

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 6. H

ousing

Units b

y

Urb

an and

Rural R

esid

ence: 1990

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]State County

Urban

Outside urbanized area

Rural

In place

Total housing

units

Total urban

housing units

Inside urbanized area Total

Place of

10,000 or

more

Place of

2,500 to

9,999

Total rural

housing units Total

Place of

1,000 to

2,499

Place of less

than 1,000 Other rural 

The State ------------------------------ 292 436 142 947 67 244 75 703 50 041 25 662 149 489 65 173 26 510 38 663 84 316 

COUNTYAurora County ---------------------------------- 1 342 – – ––– 1 342 654 – 654 688 Beadle County----------------------------------- 8 093 5 608 – 5 608 5 608 – 2 485 582 – 582 1 903 Bennett County ---------------------------------- 1 292 – – ––– 1 292 544 544 – 748 Bon Homme County ------------------------------ 3 087 – – ––– 3 087 1 944 564 1 380 1 143 Brookings County -------------------------------- 9 824 6 012 – 6 012 6 012 – 3 812 1 382 503 879 2 430 Brown County----------------------------------- 15 101 10 689 – 10 689 10 689 – 4 412 1 221 537 684 3 191 Brule County------------------------------------ 2 275 – – ––– 2 275 1 498 1 024 474 777 Buffalo County ---------------------------------- 535 – – ––– 535 275 275 – 260 Butte County ----------------------------------- 3 502 1 973 – 1 973 – 1 973 1 529 431 – 431 1 098 Campbell County--------------------------------- 944 – – ––– 944 508 – 508 436 Charles Mix County------------------------------- 3 751 – – ––– 3 751 2 060 1 296 764 1 691 Clark County------------------------------------ 2 026 – – ––– 2 026 1 038 631 407 988 Clay County ------------------------------------ 4 892 3 428 – 3 428 3 428 – 1 464 231 – 231 1 233 Codington County -------------------------------- 9 539 7 631 – 7 631 7 631 – 1 908 399 – 399 1 509 Corson County ---------------------------------- 1 557 – – ––– 1 557 648 – 648 909 Custer County----------------------------------- 3 003 – – ––– 3 003 1 058 792 266 1 945 Davison County---------------------------------- 7 490 6 064 – 6 064 6 064 – 1 426 308 – 308 1 118 Day County ------------------------------------ 3 914 – – ––– 3 914 1 918 1 018 900 1 996 Deuel County ----------------------------------- 2 208 – – ––– 2 208 1 070 589 481 1 138 Dewey County ---------------------------------- 2 123 – – ––– 2 123 1 119 517 602 1 004 Douglas County---------------------------------- 1 517 – – ––– 1 517 796 – 796 721 Edmunds County --------------------------------- 2 004 – – ––– 2 004 1 073 – 1 073 931 Fall River County--------------------------------- 3 692 1 872 – 1 872 – 1 872 1 820 631 – 631 1 189 Faulk County------------------------------------ 1 286 – – ––– 1 286 679 – 679 607 Grant County ----------------------------------- 3 549 1 711 – 1 711 – 1 711 1 838 605 – 605 1 233 Gregory County---------------------------------- 2 595 – – ––– 2 595 1 514 712 802 1 081 Haakon County ---------------------------------- 1 071 – – ––– 1 071 553 450 103 518 Hamlin County ---------------------------------- 2 500 – – ––– 2 500 1 146 – 1 146 1 354 Hand County------------------------------------ 2 053 – – ––– 2 053 1 048 877 171 1 005 Hanson County ---------------------------------- 1 232 – – ––– 1 232 518 – 518 714 Harding County ---------------------------------- 776 – – ––– 776 295 – 295 481 Hughes County ---------------------------------- 6 255 5 390 – 5 390 5 390 – 865 263 – 263 602 Hutchinson County ------------------------------- 3 657 – – ––– 3 657 2 200 1 341 859 1 457 Hyde County------------------------------------ 816 – – ––– 816 455 – 455 361 Jackson County---------------------------------- 1 147 – – ––– 1 147 607 – 607 540 Jerauld County ---------------------------------- 1 182 – – ––– 1 182 727 569 158 455 Jones County ----------------------------------- 699 – – ––– 699 405 – 405 294 Kingsbury County -------------------------------- 2 765 – – ––– 2 765 1 752 555 1 197 1 013 Lake County ------------------------------------ 5 148 2 613 – 2 613 – 2 613 2 535 246 – 246 2 289 Lawrence County--------------------------------- 9 092 4 567 – 4 567 – 4 567 4 525 2 146 1 749 397 2 379 Lincoln County ---------------------------------- 5 823 1 653 473 1 180 – 1 180 4 170 1 717 893 824 2 453 Lyman County----------------------------------- 1 523 – – ––– 1 523 864 – 864 659 

McCook County---------------------------------- 2 371 – – ––– 2 371 1 452 581 871 919 McPherson County ------------------------------- 1 566 – – ––– 1 566 1 001 644 357 565 Marshall County --------------------------------- 2 640 – – ––– 2 640 1 111 681 430 1 529 Meade County ---------------------------------- 7 592 3 213 – 3 213 – 3 213 4 379 920 671 249 3 459 Mellette County --------------------------------- 910 – – ––– 910 320 – 320 590 Miner County ----------------------------------- 1 474 – – ––– 1 474 795 533 262 679 Minnehaha County ------------------------------- 49 780 42 251 41 108 1 143 – 1 143 7 529 3 047 1 420 1 627 4 482 Moody County ---------------------------------- 2 666 – – ––– 2 666 1 451 1 010 441 1 215 

Pennington County ------------------------------- 33 741 26 939 24 868 2 071 – 2 071 6 802 1 732 540 1 192 5 070 Perkins County ---------------------------------- 2 007 – – ––– 2 007 1 050 813 237 957 Potter County ----------------------------------- 1 664 – – ––– 1 664 1 021 680 341 643 Roberts County ---------------------------------- 4 728 – – ––– 4 728 1 954 1 008 946 2 774 Sanborn County --------------------------------- 1 326 – – ––– 1 326 542 – 542 784 Shannon County --------------------------------- 2 699 694 – 694 – 694 2 005 644 – 644 1 361 Spink County ----------------------------------- 3 545 1 306 – 1 306 – 1 306 2 239 802 – 802 1 437 Stanley County ---------------------------------- 1 056 – – ––– 1 056 738 738 – 318 Sully County ------------------------------------ 811 – – ––– 811 401 – 401 410 Todd County ------------------------------------ 2 572 – – ––– 2 572 1 462 466 996 1 110 Tripp County------------------------------------ 3 023 1 540 – 1 540 – 1 540 1 483 224 – 224 1 259 Turner County ----------------------------------- 3 800 – – ––– 3 800 2 185 – 2 185 1 615 Union County ----------------------------------- 4 286 795 795 ––– 3 491 1 918 1 289 629 1 573 Walworth County -------------------------------- 2 928 1 779 – 1 779 – 1 779 1 149 646 – 646 503 Yankton County --------------------------------- 7 571 5 219 – 5 219 5 219 – 2 352 423 – 423 1 929 Ziebach County---------------------------------- 800 – – ––– 800 206 – 206 594 

6 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 7

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 7. Land

Are

a

b

y

Urb

an and

Rural R

esid

ence: 1990

[For definitions of terms and meanings of symbols, see text]State County

Urban

Outside urbanized area

Rural

In place

Total land area

Total urban land

area

Inside urbanized area Total

Place of

10,000 or

more

Place of 2,500

to 9,999

Total rural

land area Total

Place of

1,000 to

2,499

Place of le

than 1,0

THE STATE Square kilometers -------------------------------- 196 570.6 525.7 243.4 282.3 183.5 98.9 196 044.9 784.7 242.8 541Square miles------------------------------------ 75 896.0 203.0 94.0 109.0 70.8 38.2 75 693.0 303.0 93.8 209COUNTYAurora County Square kilometers ------------------------------ 1 834.3 ––––– 1 834.3 3.4 – 3

Square miles---------------------------------- 708.2 ––––– 708.2 1.3 – 1

Beadle County Square kilometers ------------------------------ 3 261.9 15.4 – 15.4 15.4 – 3 246.5 14.4 – 14

Square miles---------------------------------- 1 259.4 5.9 – 5.9 5.9 – 1 253.5 5.6 – 5

Bennett County Square kilometers ------------------------------ 3 070.2 ––––– 3 070.2 2.3 2.3 

Square miles---------------------------------- 1 185.4 ––––– 1 185.4 .9 .9 

Bon Homme County Square kilometers ------------------------------ 1 459.3 ––––– 1 459.3 10.4 4.1 6

Square miles---------------------------------- 563.4 ––––– 563.4 4.0 1.6 2

Brookings County Square kilometers ------------------------------ 2 057.8 26.9 – 26.9 26.9 – 2 030.9 14.0 1.9 12

Square miles---------------------------------- 794.5 10.4 – 10.4 10.4 – 784.1 5.4 .8 4

Brown County Square kilometers ------------------------------ 4 436.2 21.7 – 21.7 21.7 – 4 414.5 13.0 3.6 9

Square miles---------------------------------- 1 712.8 8.4 – 8.4 8.4 – 1 704.4 5.0 1.4 3

Brule County Square kilometers ------------------------------ 2 121.3 ––––– 2 121.3 18.2 8.2 10

Square miles---------------------------------- 819.0 ––––– 819.0 7.0 3.2 3

Buffalo County Square kilometers ------------------------------ 1 218.9 ––––– 1 218.9 26.7 26.7 

Square miles---------------------------------- 470.6 ––––– 470.6 10.3 10.3 

Butte County Square kilometers ------------------------------ 5 823.8 6.7 – 6.7 – 6.7 5 817.1 4.1 – 4

Square miles---------------------------------- 2 248.6 2.6 – 2.6 – 2.6 2 246.0 1.6 – 1

Campbell County Square kilometers ------------------------------ 1 905.8 ––––– 1 905.8 3.8 – 3

Square miles---------------------------------- 735.8 ––––– 735.8 1.5 – 1

Charles Mix County Square kilometers ------------------------------ 2 844.5 ––––– 2 844.5 22.4 6.6 15

Square miles---------------------------------- 1 098.3 ––––– 1 098.3 8.7 2.5 6

Clark County Square kilometers ------------------------------ 2 481.2 ––––– 2 481.2 9.1 3.3 5

Square miles---------------------------------- 958.0 ––––– 958.0 3.5 1.3 2

Clay County Square kilometers ------------------------------ 1 066.1 8.0 – 8.0 8.0 – 1 058.1 1.1 – 1

Square miles---------------------------------- 411.6 3.1 – 3.1 3.1 – 408.5 .4 – 

Codington County Square kilometers ------------------------------ 1 781.3 34.2 – 34.2 34.2 – 1 747.1 11.5 – 11

Square miles---------------------------------- 687.8 13.2 – 13.2 13.2 – 674.6 4.4 – 4

Corson County Square kilometers ------------------------------ 6 405.2 ––––– 6 405.2 14.4 – 14

Square miles---------------------------------- 2 473.1 ––––– 2 473.1 5.5 – 5

Custer County Square kilometers ------------------------------ 4 034.6 ––––– 4 034.6 6.7 3.7 3

Square miles---------------------------------- 1 557.8 ––––– 1 557.8 2.6 1.4 1

Davison County Square kilometers ------------------------------ 1 127.8 24.3 – 24.3 24.3 – 1 103.5 1.5 – 1

Square miles---------------------------------- 435.5 9.4 – 9.4 9.4 – 426.1 .6 – 

Day County Square kilometers ------------------------------ 2 664.2 ––––– 2 664.2 14.2 3.9 10

Square miles---------------------------------- 1 028.6 ––––– 1 028.6 5.5 1.5 4

Deuel County Square kilometers ------------------------------ 1 615.1 ––––– 1 615.1 18.9 7.8 11

Square miles---------------------------------- 623.6 ––––– 623.6 7.3 3.0 4

Dewey County Square kilometers ------------------------------ 5 964.3 ––––– 5 964.3 5.1 1.8 3

Square miles---------------------------------- 2 302.8 ––––– 2 302.8 2.0 .7 1

Douglas County Square kilometers ------------------------------ 1 123.1 ––––– 1 123.1 6.2 – 6

Square miles---------------------------------- 433.6 ––––– 433.6 2.4 – 2

Edmunds County Square kilometers ------------------------------ 2 967.2 ––––– 2 967.2 8.9 – 8

Square miles---------------------------------- 1 145.7 ––––– 1 145.7 3.5 – 3

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 7
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 8

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 7. Land

Are

a

b

y

Urb

an and

Rural R

esid

ence: 1990

mCon.

[For definitions of terms and meanings of symbols, see text]State County

Urban

Outside urbanized area

Rural

In place

Total land area

Total urban land

area

Inside urbanized area Total

Place of

10,000 or

more

Place of 2,500

to 9,999

Total rural

land area Total

Place of

1,000 to

2,499

Place of le

than 1,0

COUNTYmCon.Fall River County Square kilometers ------------------------------ 4 506.4 7.4 – 7.4 – 7.4 4 499.0 3.6 – 3

Square miles---------------------------------- 1 739.9 2.9 – 2.9 – 2.9 1 737.1 1.4 – 1

Faulk County Square kilometers ------------------------------ 2 590.6 ––––– 2 590.6 8.5 – 8

Square miles---------------------------------- 1 000.2 ––––– 1 000.2 3.3 – 3

Grant County Square kilometers ------------------------------ 1 767.7 6.3 – 6.3 – 6.3 1 761.5 10.0 – 10

Square miles---------------------------------- 682.5 2.4 – 2.4 – 2.4 680.1 3.8 – 3

Gregory County Square kilometers ------------------------------ 2 631.4 ––––– 2 631.4 9.3 3.5 5

Square miles---------------------------------- 1 016.0 ––––– 1 016.0 3.6 1.4 2

Haakon County Square kilometers ------------------------------ 4 696.0 ––––– 4 696.0 2.4 1.5 

Square miles---------------------------------- 1 813.1 ––––– 1 813.1 .9 .6 

Hamlin County Square kilometers ------------------------------ 1 324.0 ––––– 1 324.0 9.6 – 9

Square miles---------------------------------- 511.2 ––––– 511.2 3.7 – 3

Hand County Square kilometers ------------------------------ 3 721.1 ––––– 3 721.1 7.3 2.5 4

Square miles---------------------------------- 1 436.7 ––––– 1 436.7 2.8 .9 1

Hanson County Square kilometers ------------------------------ 1 125.9 ––––– 1 125.9 5.9 – 5

Square miles---------------------------------- 434.7 ––––– 434.7 2.3 – 2

Harding County Square kilometers ------------------------------ 6 916.8 ––––– 6 916.8 1.8 – 1

Square miles---------------------------------- 2 670.6 ––––– 2 670.6 .7 – 

Hughes County Square kilometers ------------------------------ 1 919.1 33.7 – 33.7 33.7 – 1 885.4 2.0 – 2

Square miles---------------------------------- 741.0 13.0 – 13.0 13.0 – 727.9 .8 – 

Hutchinson County Square kilometers ------------------------------ 2 105.8 ––––– 2 105.8 7.5 4.0 3

Square miles---------------------------------- 813.0 ––––– 813.0 2.9 1.5 1

Hyde County Square kilometers ------------------------------ 2 230.2 ––––– 2 230.2 4.7 – 4

Square miles---------------------------------- 861.1 ––––– 861.1 1.8 – 1

Jackson County Square kilometers ------------------------------ 4 841.5 ––––– 4 841.5 19.8 – 19

Square miles---------------------------------- 1 869.3 ––––– 1 869.3 7.7 – 7

Jerauld County Square kilometers ------------------------------ 1 373.4 ––––– 1 373.4 10.0 4.6 5

Square miles---------------------------------- 530.3 ––––– 530.3 3.9 1.8 2

Jones County Square kilometers ------------------------------ 2 514.0 ––––– 2 514.0 3.3 – 3

Square miles---------------------------------- 970.6 ––––– 970.6 1.3 – 1

Kingsbury County Square kilometers ------------------------------ 2 171.5 ––––– 2 171.5 14.0 2.9 11

Square miles---------------------------------- 838.4 ––––– 838.4 5.4 1.1 4

Lake County Square kilometers ------------------------------ 1 458.9 10.0 – 10.0 – 10.0 1 448.9 5.9 – 5

Square miles---------------------------------- 563.3 3.9 – 3.9 – 3.9 559.4 2.3 – 2

Lawrence County Square kilometers ------------------------------ 2 072.2 14.8 – 14.8 – 14.8 2 057.3 22.1 20.6 1

Square miles---------------------------------- 800.1 5.7 – 5.7 – 5.7 794.3 8.5 8.0 

Lincoln County Square kilometers ------------------------------ 1 497.4 12.0 4.4 7.6 – 7.6 1 485.4 7.7 4.3 3

Square miles---------------------------------- 578.1 4.6 1.7 2.9 – 2.9 573.5 3.0 1.6 1

Lyman County Square kilometers ------------------------------ 4 247.8 ––––– 4 247.8 11.6 – 11

Square miles---------------------------------- 1 640.1 ––––– 1 640.1 4.5 – 4

McCook County Square kilometers ------------------------------ 1 488.1 ––––– 1 488.1 8.9 2.6 6

Square miles---------------------------------- 574.6 ––––– 574.6 3.4 1.0 2

McPherson County Square kilometers ------------------------------ 2 944.9 ––––– 2 944.9 6.7 1.9 4

Square miles---------------------------------- 1 137.0 ––––– 1 137.0 2.6 .7 1

Marshall County Square kilometers ------------------------------ 2 172.7 ––––– 2 172.7 6.3 3.7 2

Square miles---------------------------------- 838.9 ––––– 838.9 2.4 1.4 1

8 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 9

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Table 7. Land

Are

a

b

y

Urb

an and

Rural R

esid

ence: 1990

mCon.

[For definitions of terms and meanings of symbols, see text]State County

Urban

Outside urbanized area

Rural

In place

Total land area

Total urban land

area

Inside urbanized area Total

Place of

10,000 or

more

Place of 2,500

to 9,999

Total rural

land area Total

Place of

1,000 to

2,499

Place of le

than 1,0

COUNTYmCon.Meade County Square kilometers ------------------------------ 8 989.5 9.9 – 9.9 – 9.9 8 979.6 8.9 5.6 3

Square miles---------------------------------- 3 470.8 3.8 – 3.8 – 3.8 3 467.0 3.4 2.2 1

Mellette County Square kilometers ------------------------------ 3 384.1 ––––– 3 384.1 1.9 – 1

Square miles---------------------------------- 1 306.6 ––––– 1 306.6 .8 – 

Miner County Square kilometers ------------------------------ 1 477.3 ––––– 1 477.3 16.6 2.3 14

Square miles---------------------------------- 570.4 ––––– 570.4 6.4 .9 5

Minnehaha County Square kilometers ------------------------------ 2 095.8 120.0 112.4 7.6 – 7.6 1 975.8 18.5 6.9 11

Square miles---------------------------------- 809.2 46.3 43.4 2.9 – 2.9 762.8 7.2 2.7 4

Moody County Square kilometers ------------------------------ 1 346.0 ––––– 1 346.0 13.1 4.6 8

Square miles---------------------------------- 519.7 ––––– 519.7 5.1 1.8 3

Pennington County Square kilometers ------------------------------ 7 190.8 131.3 120.9 10.4 – 10.4 7 059.5 63.4 45.4 18

Square miles---------------------------------- 2 776.4 50.7 46.7 4.0 – 4.0 2 725.7 24.5 17.5 7

Perkins County Square kilometers ------------------------------ 7 437.9 ––––– 7 437.9 5.2 2.6 2

Square miles---------------------------------- 2 871.8 ––––– 2 871.8 2.0 1.0 1

Potter County Square kilometers ------------------------------ 2 244.3 ––––– 2 244.3 7.4 4.8 2

Square miles---------------------------------- 866.5 ––––– 866.5 2.9 1.9 1

Roberts County Square kilometers ------------------------------ 2 852.5 ––––– 2 852.5 18.9 3.9 15

Square miles---------------------------------- 1 101.3 ––––– 1 101.3 7.3 1.5 5

Sanborn County Square kilometers ------------------------------ 1 473.8 ––––– 1 473.8 4.9 – 4

Square miles---------------------------------- 569.0 ––––– 569.0 1.9 – 1

Shannon County Square kilometers ------------------------------ 5 423.3 5.2 – 5.2 – 5.2 5 418.1 69.2 – 69

Square miles---------------------------------- 2 094.0 2.0 – 2.0 – 2.0 2 091.9 26.7 – 26

Spink County Square kilometers ------------------------------ 3 895.3 4.6 – 4.6 – 4.6 3 890.7 9.8 – 9

Square miles---------------------------------- 1 504.0 1.8 – 1.8 – 1.8 1 502.2 3.8 – 3

Stanley County Square kilometers ------------------------------ 3 738.3 ––––– 3 738.3 6.9 6.9 

Square miles---------------------------------- 1 443.4 ––––– 1 443.4 2.6 2.6 

Sully County Square kilometers ------------------------------ 2 608.0 ––––– 2 608.0 2.1 – 2

Square miles---------------------------------- 1 007.0 ––––– 1 007.0 .8 – 

Todd County Square kilometers ------------------------------ 3 595.5 ––––– 3 595.5 84.0 27.0 57

Square miles---------------------------------- 1 388.2 ––––– 1 388.2 32.4 10.4 22

Tripp County Square kilometers ------------------------------ 4 179.3 3.7 – 3.7 – 3.7 4 175.6 1.4 – 1

Square miles---------------------------------- 1 613.6 1.4 – 1.4 – 1.4 1 612.2 .5 – 

Turner County Square kilometers ------------------------------ 1 597.7 ––––– 1 597.7 12.5 – 12

Square miles---------------------------------- 616.9 ––––– 616.9 4.8 – 4

Union County Square kilometers ------------------------------ 1 192.4 5.7 5.7 ––– 1 186.8 8.3 6.8 1

Square miles---------------------------------- 460.4 2.2 2.2 ––– 458.2 3.2 2.6 

Walworth County Square kilometers ------------------------------ 1 833.3 4.6 – 4.6 – 4.6 1 828.8 6.7 – 6

Square miles---------------------------------- 707.8 1.8 – 1.8 – 1.8 706.1 2.6 – 2

Yankton County Square kilometers ------------------------------ 1 351.0 19.2 – 19.2 19.2 – 1 331.8 3.2 – 3

Square miles---------------------------------- 521.6 7.4 – 7.4 7.4 – 514.2 1.2 – 1

Ziebach County Square kilometers ------------------------------ 5 082.9 ––––– 5 082.9 2.8 – 2

Square miles---------------------------------- 1 962.5 ––––– 1 962.5 1.1 – 1

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 9
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 10

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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

The State ------------------------------ 696 004 690 768 666 257 292 436 276 997 225 417 199 744.3 77 121.4 196 570.6 75 896.0 

Aurora County †------------------------------ 3 135 3 628 4 183 1 342 1 450 1 496 1 845.6 712.6 1 834.3 708.2 

Aurora township ------------------------------- 130 138 180 51 54 58 91.7 35.4 91.7 35.4 Belford township------------------------------- 190 205 295 68 65 88 93.1 35.9 93.0 35.9 Bristol township ------------------------------- 62 81 95 23 32 39 92.7 35.8 92.5 35.7 Center township ------------------------------- 116 177 234 55 61 64 91.8 35.5 91.8 35.5 Cooper township------------------------------- 20 27 38 9 11 15 87.9 34.0 87.9 33.9 Crystal Lake township --------------------------- 57 73 105 21 25 28 93.3 36.0 92.6 35.8 Dudley township ------------------------------- 111 106 135 48 40 55 90.3 34.8 90.1 34.8 Eureka township ------------------------------- 38 77 83 16 23 27 89.1 34.4 88.9 34.3 Firesteel township ------------------------------ 70 89 78 27 31 33 95.6 36.9 95.4 36.8 Gales township -------------------------------- 89 93 127 31 37 35 94.0 36.3 94.0 36.3 Hopper township------------------------------- 83 103 107 38 40 48 93.5 36.1 93.4 36.1 Lake township--------------------------------- 57 85 86 27 29 25 96.9 37.4 88.5 34.2 Palatine township ------------------------------ 71 85 118 36 41 49 96.3 37.2 95.7 36.9 Patten township ------------------------------- 53 61 75 22 28 27 92.4 35.7 92.2 35.6 Plankinton city † -------------------------- 604 644 613 306 307 277 1.7 .7 1.7 .7 Plankinton township ---------------------------- 239 218 367 55 53 76 88.5 34.2 88.5 34.2 Pleasant Lake township -------------------------- 97 113 102 32 37 39 87.6 33.8 87.6 33.8 Pleasant Valley township------------------------- 44 58 85 16 24 26 91.8 35.4 91.3 35.3 Stickney town --------------------------------- 323 409 421 170 206 181 .6 .3 .6 .3 Truro township -------------------------------- 100 165 184 46 53 60 90.4 34.9 90.4 34.9 Washington township --------------------------- 76 109 120 28 34 31 92.0 35.5 92.0 35.5 White Lake city-------------------------------- 419 414 395 178 182 174 1.0 .4 1.0 .4 White Lake township---------------------------- 86 98 140 39 37 41 93.4 36.0 93.3 36.0 

Beadle County † ------------------------------ 18 253 19 195 20 877 8 093 8 229 7 347 3 276.2 1 264.9 3 261.9 1 259.4 

Allen township -------------------------------- 95 114 126 39 41 37 94.8 36.6 94.8 36.6 Altoona township ------------------------------ 135 98 123 57 40 35 92.5 35.7 92.5 35.7 Banner township ------------------------------- 49 59 72 20 22 24 91.3 35.2 91.3 35.2 Barrett township ------------------------------- 33 61 105 13 21 30 93.2 36.0 93.0 35.9 Belle Prairie township --------------------------- 50 74 92 28 30 39 92.7 35.8 92.7 35.8 Bonilla township ------------------------------- 80 117 137 35 49 44 93.3 36.0 93.3 36.0 Broadland town ------------------------------- 40 49 45 23 22 21 2.6 1.0 2.6 1.0 Broadland township ---------------------------- 86 88 103 26 29 29 92.6 35.8 92.5 35.7 Burr Oak township ----------------------------- 43 50 68 17 21 27 94.2 36.4 94.0 36.3 Carlyle township ------------------------------- 94 94 131 35 44 46 94.4 36.5 94.3 36.4 Cavour town---------------------------------- 166 117 134 71 52 46 1.1 .4 1.1 .4 Cavour township ------------------------------- 124 136 171 47 54 52 91.8 35.4 91.8 35.4 Clifton township ------------------------------- 131 147 161 51 56 52 92.8 35.8 92.8 35.8 Clyde township -------------------------------- 627 617 316 247 224 93 87.2 33.7 87.1 33.6 Custer township ------------------------------- 397 427 441 145 167 141 88.7 34.2 87.1 33.6 Dearborn township ----------------------------- 134 155 161 48 53 55 91.5 35.3 91.3 35.2 Fairfield township ------------------------------ 104 133 132 42 43 38 94.9 36.6 94.9 36.6 Foster township ------------------------------- 75 78 89 27 28 26 93.2 36.0 93.0 35.9 Grant township -------------------------------- 149 164 170 55 57 53 94.2 36.4 94.1 36.3 Hartland township------------------------------ 106 137 142 51 48 41 94.0 36.3 94.0 36.3 Hitchcock town -------------------------------- 95 132 150 55 71 61 .7 .3 .7 .3 Huron city † ------------------------------- 12 448 13 000 14 299 5 608 5 649 5 049 15.6 6.0 15.4 5.9 Iowa township -------------------------------- 206 197 239 57 52 43 93.9 36.3 93.0 35.9 Iroquois city (pt.) † ------------------------ 57 49 55 28 24 20 .2 .1 .2 .1 Kellogg township------------------------------- 80 84 100 30 34 40 94.0 36.3 93.9 36.3 Lake Byron township---------------------------- 237 182 202 222 231 202 93.4 36.0 85.3 32.9 Liberty township ------------------------------- 81 126 142 35 42 40 94.2 36.4 94.2 36.4 Logan township-------------------------------- 127 154 165 31 39 34 92.6 35.8 92.6 35.8 

Milford township------------------------------- 92 107 124 37 40 40 92.9 35.9 92.6 35.7 

Nance township ------------------------------- 40 55 66 15 21 25 93.0 35.9 93.0 35.9 Pearl Creek township---------------------------- 110 106 155 48 56 53 92.9 35.9 92.9 35.9 Pleasant View township ------------------------- 56 72 90 22 27 32 93.1 35.9 92.6 35.8 Richland township ------------------------------ 158 167 191 58 59 59 92.2 35.6 92.2 35.6 Sand Creek township --------------------------- 57 63 103 25 29 40 94.1 36.3 94.1 36.3 Theresa township ------------------------------ 266 264 200 101 101 72 90.4 34.9 90.4 34.9 Valley township ------------------------------- 257 233 246 97 89 76 92.7 35.8 91.4 35.3 Vernon township------------------------------- 106 105 113 42 39 43 93.4 36.1 93.3 36.0 Virgil town ----------------------------------- 33 37 43 19 23 28 2.6 1.0 2.6 1.0 Wessington city (pt.) --------------------------- 241 304 345 137 150 134 .9 .3 .9 .3 Wessington township --------------------------- 61 73 96 24 28 34 93.4 36.0 93.4 36.0 Whiteside township ----------------------------- 60 77 83 28 30 31 95.4 36.8 95.4 36.8 Wolsey town --------------------------------- 442 437 436 193 191 163 5.9 2.3 5.9 2.3 Wolsey township------------------------------- 97 120 167 48 44 45 87.4 33.7 87.4 33.7 Yale town------------------------------------ 128 136 148 56 59 54 .4 .2 .4 .2 

10 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 11

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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Bennett County ---------------------------------- 3 206 3 044 3 088 1 292 1 146 1 017 3 083.9 1 190.7 3 070.2 1 185.4 

East Bennett unorg. ---------------------------- 926 1 001 820 370 347 314 1 716.1 662.6 1 704.5 658.1 

Martin city ----------------------------------- 1 151 1 018 1 248 544 480 431 2.3 .9 2.3 .9 

West Bennett unorg.---------------------------- 1 129 1 025 1 020 378 319 272 1 365.5 527.2 1 363.4 526.4 

Bon Homme County †-------------------------- 7 089 8 059 8 577 3 087 3 238 2 959 1 505.7 581.4 1 459.3 563.4 

Avon city ------------------------------------ 576 576 610 308 298 259 1.7 .6 1.7 .6 Northeast Bon Homme unorg.--------------------- 695 836

... 269 292

... 365.7 141.2 365.0 140.9 

Northwest Bon Homme unorg. -------------------- 592 772

... 245 269

... 358.3 138.3 357.9 138.2 

Scotland city---------------------------------- 968 1 022 984 496 501 402 2.2 .8 2.2 .8 Southeast Bon Homme unorg.--------------------- 547 644

... 218 217

... 278.3 107.4 250.4 96.7 

Southwest Bon Homme unorg. -------------------- 1 273 1 119

... 411 458

... 493.0 190.4 475.6 183.6 

Springfield city -------------------------------- 834 1 377 1 566 382 427 411 1.6 .6 1.6 .6 Tabor town † ------------------------------ 403 460 388 194 206 181 .8 .3 .8 .3 Tyndall city----------------------------------- 1 201 1 253 1 245 564 570 485 4.1 1.6 4.1 1.6 

Brookings County † -------------------------- 25 207 24 332 22 158 9 824 9 074 6 889 2 084.5 804.8 2 057.8 794.5 

Afton township -------------------------------- 185 224 235 79 82 74 92.2 35.6 92.2 35.6 Alton township -------------------------------- 284 286 258 88 94 73 91.0 35.1 91.0 35.1 Argo township -------------------------------- 153 165 211 58 62 64 93.6 36.1 93.5 36.1 Arlington city (pt.) ----------------------------- 6 3 ... 2 4

... 1.2 .5 1.2 .5 

Aurora town ---------------------------------- 619 507 237 210 194 82 1.2 .5 1.2 .5 Aurora township ------------------------------- 300 330 290 122 116 87 87.1 33.6 87.0 33.6 Bangor township------------------------------- 176 185 234 75 72 79 92.5 35.7 91.0 35.1 Brookings city †--------------------------- 16 270 14 951 13 717 6 012 5 162 3 902 27.1 10.5 26.9 10.4 Brookings township----------------------------- 430 425 398 154 148 113 72.2 27.9 72.2 27.9 Bruce city † ------------------------------- 235 254 217 104 98 83 1.0 .4 .9 .4 Bushnell town --------------------------------- 81 76 65 30 36 31 1.8 .7 1.8 .7 Elkton city ----------------------------------- 602 632 541 269 284 231 4.0 1.6 4.0 1.6 Elkton township ------------------------------- 104 135 148 38 45 47 52.6 20.3 52.6 20.3 Eureka township ------------------------------- 154 208 215 66 77 74 93.6 36.1 93.6 36.1 Lake Hendricks township ------------------------- 141 161 185 116 105 69 84.8 32.7 80.0 30.9 Lake Sinai township ---------------------------- 176 211 226 72 74 80 92.0 35.5 89.4 34.5 Laketon township ------------------------------ 120 151 203 146 168 134 92.9 35.9 89.6 34.6 

Medary township ------------------------------ 950 939 508 435 465 194 92.4 35.7 89.4 34.5 

Oak Lake township ----------------------------- 108 164 233 48 61 70 93.8 36.2 92.7 35.8 Oakwood township ----------------------------- 190 215 226 170 156 120 90.9 35.1 84.2 32.5 Oslo township--------------------------------- 229 212 260 83 82 86 92.3 35.6 91.9 35.5 Parnell township ------------------------------- 147 171 227 55 62 68 92.7 35.8 92.7 35.8 Preston township ------------------------------ 189 226 239 66 80 81 92.1 35.6 91.6 35.4 Richland township ------------------------------ 160 219 203 59 72 64 85.8 33.1 85.8 33.1 Sherman township ----------------------------- 145 194 178 55 61 52 91.8 35.4 91.8 35.4 Sinai town ----------------------------------- 120 129 147 63 67 63 .9 .4 .9 .4 Sterling township ------------------------------ 326 341 304 118 125 101 91.7 35.4 91.7 35.4 Trenton township ------------------------------ 333 381 273 140 144 78 92.4 35.7 92.4 35.7 Volga city † ------------------------------- 1 263 1 221 982 503 484 337 1.9 .8 1.9 .8 Volga township-------------------------------- 299 328 324 118 115 102 89.4 34.5 88.2 34.1 White city------------------------------------ 536 474 418 201 207 172 1.9 .7 1.9 .7 Winsor township ------------------------------- 176 214 256 69 72 78 93.2 36.0 92.2 35.6 

Brown County † ------------------------------ 35 580 36 962 36 920 15 101 14 674 12 068 4 484.2 1 731.4 4 436.2 1 712.8 

Aberdeen city † --------------------------- 24 927 r25 851 26 476 10 689 r10 319 8 509 21.8 8.4 21.7 8.4 Aberdeen township ----------------------------- 1 669 r1 473 1 145 609 r507 331 118.4 45.7 118.0 45.6 Allison township ------------------------------- 26 28 48 15 14 14 92.9 35.9 92.9 35.9 Bates township -------------------------------- 44 67 89 21 23 31 92.9 35.9 92.8 35.8 Bath township -------------------------------- 593 630 518 219 215 160 109.2 42.2 109.2 42.2 Brainard township------------------------------ 119 149 218 51 58 59 145.8 56.3 136.2 52.6 Cambria township ------------------------------ 124 170 194 62 74 74 93.9 36.3 93.9 36.3 Carlisle township------------------------------- 58 66 75 21 16 21 93.9 36.3 93.5 36.1 Claremont town ------------------------------- 135 180 214 73 84 91 .7 .3 .7 .3 Claremont township ---------------------------- 165 159 214 64 59 69 139.6 53.9 139.5 53.9 Columbia city --------------------------------- 133 161 240 72 76 78 4.1 1.6 4.1 1.6 Columbia township ----------------------------- 127 171 189 61 62 61 124.8 48.2 123.3 47.6 East Hanson township --------------------------- 139 141 148 56 62 52 93.6 36.1 93.4 36.0 East Rondell township --------------------------- 91 105 117 32 40 31 93.3 36.0 93.3 36.0 Franklyn township ------------------------------ 45 58 71 18 23 21 93.4 36.0 93.0 35.9 Frederick town -------------------------------- 241 307 359 140 158 142 .9 .4 .9 .4 Frederick township ----------------------------- 86 74 92 33 31 30 92.8 35.8 92.8 35.8 Garden Prairie township ------------------------- 155 102 103 46 45 41 93.1 36.0 93.1 36.0 Garland township ------------------------------ 69 90 121 28 28 30 76.9 29.7 76.9 29.7 Gem township--------------------------------- 225 235 277 85 84 85 171.6 66.2 171.6 66.2 

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 11
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 12

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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Brown County †mCon.

Greenfield township ---------------------------- 72 88 104 27 35 31 93.4 36.0 84.5 32.6 Groton city † ------------------------------ 1 196 1 230 1 021 537 551 418 3.6 1.4 3.6 1.4 Groton township ------------------------------- 111 128 176 43 45 61 120.6 46.6 120.6 46.6 Hecla city ------------------------------------ 398 435 407 189 207 166 .9 .3 .9 .3 Hecla township -------------------------------- 49 71 88 23 24 28 62.9 24.3 62.1 24.0 Henry township-------------------------------- 123 136 165 45 45 49 93.1 35.9 93.1 35.9 Highland township------------------------------ 92 95 129 35 33 35 93.9 36.3 93.8 36.2 Lansing township ------------------------------ 63 84 121 36 31 35 93.5 36.1 88.7 34.2 Liberty township ------------------------------- 91 123 161 49 52 52 121.9 47.1 121.3 46.8 Lincoln township ------------------------------- 1 042 1 029 321 372 332 119 124.7 48.1 124.4 48.0 

Mercier township ------------------------------ 140 150 119 52 50 34 93.5 36.1 93.2 36.0 

New Hope township ---------------------------- 126 132 152 40 44 47 94.1 36.3 93.7 36.2 North Detroit township -------------------------- 84 87 83 32 30 33 93.7 36.2 92.3 35.6 Oneota township------------------------------- 127 132 168 52 56 60 93.7 36.2 93.1 35.9 Ordway township † ------------------------ 233 387 188 89 130 52 107.1 41.4 107.1 41.4 Osceola township ------------------------------ 68 64 90 25 25 29 92.5 35.7 92.5 35.7 Palmyra township ------------------------------ 35 56 93 53 54 40 92.5 35.7 88.4 34.1 Portage township ------------------------------ 82 79 88 33 31 30 92.8 35.8 92.5 35.7 Prairiewood township † ------------------ 186 ... ... 63 ... ... 1.5 .6 1.5 .6 Putney township ------------------------------- 102 107 142 45 44 52 93.8 36.2 93.8 36.2 Ravinia township------------------------------- 247 168 124 180 149 100 93.5 36.1 90.8 35.1 Richland township ------------------------------ 62 86 99 26 32 29 93.0 35.9 93.0 35.9 Riverside township ----------------------------- 70 88 122 31 35 40 93.3 36.0 93.3 36.0 Savo township -------------------------------- 68 96 142 32 42 43 92.2 35.6 92.2 35.6 Shelby township ------------------------------- 137 155 167 61 57 68 134.9 52.1 125.6 48.5 South Detroit township -------------------------- 100 121 149 48 48 47 94.0 36.3 94.0 36.3 Stratford town -------------------------------- 85 82 106 43 46 50 .6 .2 .6 .2 Verdon town---------------------------------- 7 7 18 6 7 9 .6 .2 .6 .2 Warner town --------------------------------- 336 322

... 119 113

... .8 .3 .8 .3 

Warner township------------------------------- 499 550 708 178 199 236 207.2 80.0 206.8 79.8 West Hanson township -------------------------- 73 92 124 31 34 36 92.9 35.9 92.9 35.9 Westport town -------------------------------- 112 122

... 42 44

... .7 .3 .7 .3 

Westport township ----------------------------- 106 135 310 40 40 71 74.8 28.9 74.8 28.9 West Rondell township -------------------------- 87 108 127 29 31 38 88.3 34.1 88.3 34.1 

Brule County------------------------------------ 5 485 5 245 5 870 2 275 2 170 2 070 2 192.6 846.6 2 121.3 819.0 

America township ------------------------------ 62 76 115 39 39 38 119.5 46.1 109.6 42.3 Brule township -------------------------------- 100 81 69 40 37 28 117.5 45.4 108.5 41.9 Chamberlain city ------------------------------- 2 347 2 258 2 626 1 024 974 922 8.3 3.2 8.2 3.2 Chamberlain township --------------------------- 392 186 165 74 62 37 62.2 24.0 55.1 21.3 Cleveland township ----------------------------- 104 106 116 34 33 40 95.6 36.9 95.5 36.9 Eagle township -------------------------------- 82 103 108 45 39 42 92.2 35.6 92.0 35.5 Grandview unorg. ------------------------------ 31 41 34 13 13 15 78.8 30.4 59.0 22.8 Highland township------------------------------ 59 60 83 26 26 31 92.9 35.9 92.8 35.8 Kimball city----------------------------------- 743 752 825 352 352 319 8.0 3.1 8.0 3.1 Kimball township------------------------------- 49 88 102 26 27 34 84.1 32.5 84.1 32.5 Lyon township -------------------------------- 58 73 81 25 26 26 92.8 35.8 92.7 35.8 Ola township --------------------------------- 132 114 144 55 48 46 93.1 36.0 93.1 35.9 Plainfield township ----------------------------- 45 56 81 21 19 27 92.1 35.6 92.0 35.5 Pleasant Grove township ------------------------- 41 53 77 24 24 26 92.1 35.5 92.1 35.5 Plummer township------------------------------ 39 45 60 18 20 21 92.8 35.8 92.6 35.7 Pukwana town -------------------------------- 263 234 208 122 105 94 2.0 .8 2.0 .8 Pukwana township ----------------------------- 128 136 136 46 47 38 92.0 35.5 91.7 35.4 Red Lake township ----------------------------- 82 78 78 33 31 30 92.8 35.8 78.3 30.2 Richland township ------------------------------ 69 108 123 28 36 41 92.5 35.7 92.5 35.7 Smith township-------------------------------- 61 66 113 25 24 29 93.0 35.9 93.0 35.9 Torrey Lake township --------------------------- 191 159 115 50 45 35 92.3 35.6 92.3 35.6 Union township -------------------------------- 61 78 82 32 34 31 92.2 35.6 92.1 35.6 Waldro township------------------------------- 74 85 89 24 22 31 95.7 37.0 95.6 36.9 West Point township ---------------------------- 86 105 103 47 42 36 132.0 51.0 122.6 47.4 Wilbur township ------------------------------- 132 45 66 33 22 21 92.7 35.8 92.7 35.8 Willow Lake township --------------------------- 54 59 71 19 23 32 93.2 36.0 93.1 36.0 

Buffalo County ---------------------------------- 1 759 1 795 1 739 535 499 489 1 262.5 487.5 1 218.9 470.6 

Crow Creek unorg. ----------------------------- 1 495 1 439

... 393 363

... 662.3 255.7 620.0 239.4 

Fort Thompson CDP--------------------------- 1 088 ... ... 275 ... ... 32.5 12.6 26.7 10.3 

Elvira township -------------------------------- 63 96 123 45 46 57 123.5 47.7 123.2 47.6 North Buffalo unorg.---------------------------- 123 176

... 66 64

... 338.6 130.7 337.8 130.4 

Southeast Buffalo unorg. ------------------------ 78 84 109 31 26 36 138.2 53.4 138.0 53.3 

12 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 13

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Butte County †------------------------------- 7 914 8 372 7 825 3 502 3 403 2 836 5 870.1 2 266.4 5 823.8 2 248.6 

Belle Fourche city †-------------------------- 4 335 4 692 4 236 1 973 1 940 1 527 6.7 2.6 6.7 2.6 East Butte unorg. † ------------------------- 729 631 646 310 227 213 2 176.3 840.3 2 167.3 836.8 Fruitdale town--------------------------------- 43 88 74 16 28 26 .8 .3 .8 .3 Newell city ----------------------------------- 675 638 664 335 309 299 2.6 1.0 2.6 1.0 Nisland town---------------------------------- 174 216 157 80 86 62 .7 .3 .7 .3 Union township -------------------------------- 24 52 80 15 22 24 366.6 141.5 364.6 140.8 Vale township--------------------------------- 98 315 348 46 145 129 1.0 .4 1.0 .4 West Butte unorg. †------------------------- 1 836 1 733 1 611 727 643 553 3 315.4 1 280.1 3 280.1 1 266.5 

Campbell County--------------------------------- 1 965 2 243 2 866 944 960 965 1 997.9 771.4 1 905.8 735.8 

Artas town ----------------------------------- 28 43 73 19 26 28 .3 .1 .3 .1 Herreid city----------------------------------- 488 570 672 246 255 262 2.5 1.0 2.5 1.0 

Mound City town ------------------------------ 89 111 164 63 62 74 .3 .1 .3 .1 

North Campbell unorg. -------------------------- 522 599 822 227 228 219 1 044.4 403.2 985.8 380.6 Pollock town ---------------------------------- 379 355 341 180 175 147 .6 .2 .6 .2 South Campbell unorg. -------------------------- 459 565 794 209 214 235 949.7 366.7 916.3 353.8 

Charles Mix County † -------------------------- 9 131 9 680 9 994 3 751 3 802 3 408 2 979.2 1 150.3 2 844.5 1 098.3 

Bryan township-------------------------------- 352 257 249 119 95 85 93.6 36.1 93.5 36.1 Carroll township ------------------------------- 56 73 97 27 24 28 76.3 29.5 75.9 29.3 Castalia unorg. †-------------------------- 85 ... ... 31 ... ... 92.1 35.5 92.0 35.5 Choteau Creek township ------------------------- 221 280 354 79 109 110 160.9 62.1 160.9 62.1 Dante town ---------------------------------- 98 83 88 39 42 44 1.1 .4 1.1 .4 Darlington township ---------------------------- 139 167 191 51 53 49 100.0 38.6 100.0 38.6 Forbes township ------------------------------- 88 119 151 40 42 39 76.4 29.5 76.4 29.5 Geddes city----------------------------------- 280 303 308 161 177 163 1.6 .6 1.6 .6 Goose Lake township --------------------------- 204 268 297 94 106 98 167.1 64.5 166.0 64.1 Hamilton township ----------------------------- 51 53 55 20 17 17 69.5 26.8 58.2 22.5 Highland township------------------------------ 461 387 205 122 107 61 94.4 36.4 94.4 36.4 

Marty CDP (pt.) ----------------------------- 227 ... ... 54 ... ... 5.3 2.1 5.3 2.1 

Howard township ------------------------------ 236 147 189 76 56 61 127.7 49.3 116.1 44.8 Jackson township ------------------------------ 166 201 265 85 83 89 177.4 68.5 155.7 60.1 Kennedy township------------------------------ 85 138 174 36 44 54 89.1 34.4 89.1 34.4 Lake Andes city ------------------------------- 846 1 029 948 387 435 345 2.6 1.0 2.6 1.0 Lake George township--------------------------- 48 54 60 20 21 21 77.5 29.9 77.5 29.9 La Roche township ----------------------------- 161 239 244 48 52 56 189.4 73.1 156.3 60.3 Lawrence township ----------------------------- 386 425 267 108 114 64 89.2 34.4 88.7 34.3 Lone Tree township----------------------------- 206 190 211 63 57 59 96.8 37.4 96.3 37.2 

Moore township ------------------------------- 144 238 277 62 86 100 161.0 62.1 161.0 62.1 

Pickstown town †-------------------------- 95 ... ... 49 ... ... 1.7 .6 1.7 .6 Plain Center township --------------------------- 192 207 173 83 62 55 93.5 36.1 91.2 35.2 Platte city † ------------------------------- 1 311 1 334 1 351 600 590 497 2.4 .9 2.4 .9 Platte township-------------------------------- 282 264 230 100 95 79 90.4 34.9 89.9 34.7 Ravinia town---------------------------------- 79 88 109 36 47 44 .6 .2 .6 .2 Ree township --------------------------------- 159 183 243 53 60 63 122.7 47.4 121.2 46.8 Rhoda township ------------------------------- 135 158 203 60 61 59 111.2 42.9 111.2 42.9 Rouse township-------------------------------- 215 211 198 75 73 70 158.8 61.3 157.9 61.0 Signal township ------------------------------- 60 75 106 29 28 41 142.5 55.0 123.3 47.6 Wagner city ---------------------------------- 1 462 1 453 1 655 696 643 576 4.2 1.6 4.2 1.6 Wahehe township ------------------------------ 306 441 390 78 120 93 75.1 29.0 72.8 28.1 

Marty CDP (pt.) ----------------------------- 209 ... ... 38 ... ... 2.9 1.1 2.9 1.1 

White Swan township --------------------------- 522 516 600 224 271 252 232.6 89.8 205.0 79.1 

Clark County † ------------------------------- 4 403 4 894 5 515 2 026 2 176 2 050 2 506.8 967.9 2 481.2 958.0 

Ash township --------------------------------- 47 60 74 23 25 27 92.1 35.6 92.0 35.5 Blaine township-------------------------------- 58 76 93 30 32 31 92.9 35.9 87.1 33.6 Bradley town --------------------------------- 117 135 157 71 76 79 .6 .2 .6 .2 Clark city †-------------------------------- 1 292 1 351 1 356 631 647 545 3.3 1.3 3.3 1.3 Collins township ------------------------------- 100 105 190 48 49 56 91.9 35.5 91.9 35.5 Cottonwood township --------------------------- 109 140 142 40 45 44 92.1 35.6 90.4 34.9 Darlington township ---------------------------- 91 92 93 36 36 33 92.7 35.8 92.7 35.8 Day township --------------------------------- 87 131 155 41 50 56 91.1 35.2 89.5 34.5 Eden township -------------------------------- 82 100 120 39 45 40 92.1 35.6 91.0 35.1 Elrod township -------------------------------- 96 131 161 44 49 50 94.0 36.3 93.9 36.3 Fordham township------------------------------ 151 121 77 36 34 20 92.5 35.7 92.1 35.6 Foxton township ------------------------------- 70 77 92 32 34 34 93.1 36.0 93.1 36.0 Garden City town ------------------------------ 93 104 126 57 53 66 1.0 .4 1.0 .4 Garfield township ------------------------------ 91 110 120 37 41 45 93.2 36.0 93.2 36.0 Hague township ------------------------------- 51 78 120 31 35 38 92.8 35.8 92.8 35.8 Lake township--------------------------------- 110 131 165 44 48 49 92.6 35.8 89.4 34.5 Lincoln township ------------------------------- 95 106 130 35 38 40 91.0 35.1 90.8 35.1 Logan township-------------------------------- 50 66 105 30 36 37 92.3 35.6 92.2 35.6 

Maydell township ------------------------------ 49 50 81 28 26 28 92.6 35.8 89.8 34.7 Merton township------------------------------- 73 83 96 32 34 29 92.4 35.7 92.3 35.6 

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 13
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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Clark County †mCon.

Mount Pleasant township ------------------------ 177 164 103 44 46 34 93.0 35.9 93.0 35.9 Naples town ---------------------------------- 35 45 38 17 17 16 .4 .1 .4 .1 Pleasant township ------------------------------ 167 104 121 54 45 45 91.4 35.3 91.4 35.3 Raymond town -------------------------------- 96 106 114 51 55 50 .7 .3 .7 .3 Raymond township ----------------------------- 71 91 127 32 41 43 92.4 35.7 92.4 35.7 Richland township ------------------------------ 101 105 150 45 46 48 93.0 35.9 93.0 35.9 Rosedale township ----------------------------- 83 109 142 39 42 42 92.9 35.9 92.8 35.8 Spring Valley township -------------------------- 73 77 125 39 47 50 93.2 36.0 90.9 35.1 Thorp township -------------------------------- 66 79 91 28 34 31 92.8 35.8 90.8 35.1 Vienna town ---------------------------------- 93 90 119 47 60 61 2.2 .8 2.2 .8 Warren township------------------------------- 63 77 96 28 29 31 91.5 35.3 90.8 35.0 Washington township --------------------------- 89 126 159 42 52 57 93.1 36.0 92.2 35.6 Willow Lake city † -------------------------- 317 375 353 164 190 154 1.0 .4 1.0 .4 Woodland township----------------------------- 60 99 124 31 39 41 92.9 35.9 90.7 35.0 

Clay County †-------------------------------- 13 186 13 689 12 923 4 892 4 924 3 920 1 079.3 416.7 1 066.1 411.6 

Bethel township ------------------------------- 213 239 258 82 85 91 92.8 35.8 92.8 35.8 Fairview township ------------------------------ 393 395 397 209 210 126 94.2 36.4 90.4 34.9 Garfield township ------------------------------ 255 273 332 101 109 128 93.1 36.0 93.1 36.0 Glenwood township----------------------------- 187 255 250 87 93 92 93.1 36.0 93.1 35.9 Irene city (pt.) †---------------------------- 209 250 214 81 78 63 .2 .1 .2 .1 

Meckling township ----------------------------- 228 268 389 107 112 128 93.5 36.1 93.5 36.1 

Norway township ------------------------------ 168 176 214 126 98 66 72.2 27.9 67.3 26.0 Pleasant Valley township------------------------- 182 221 255 94 100 101 93.0 35.9 93.0 35.9 Prairie Center township -------------------------- 210 220 232 91 98 93 93.7 36.2 93.5 36.1 Riverside township ----------------------------- 162 199 227 74 81 83 92.9 35.9 92.9 35.9 Spirit Mound township -------------------------- 192 234 261 81 90 86 93.4 36.1 93.4 36.1 Star township --------------------------------- 188 193 273 89 82 105 91.7 35.4 91.7 35.4 Vermillion city †--------------------------- 10 034 10 136 9 128 3 428 3 423 2 543 8.0 3.1 8.0 3.1 Vermillion township----------------------------- 236 247 203 92 94 69 66.7 25.7 62.4 24.1 Wakonda town -------------------------------- 329 383 290 150 171 146 1.0 .4 1.0 .4 

Codington County † -------------------------- 22 698 20 885 19 140 9 539 8 512 6 763 1 857.4 717.1 1 781.3 687.8 

Dexter township ------------------------------- 188 200 268 79 80 86 157.3 60.7 154.6 59.7 Eden township -------------------------------- 116 131 158 56 55 67 92.6 35.8 86.4 33.4 Elmira township ------------------------------- 311 326 240 106 106 70 83.0 32.0 83.0 32.0 Florence town --------------------------------- 192 190 175 79 82 66 1.7 .6 1.7 .6 Fuller township -------------------------------- 284 278 281 95 90 86 147.9 57.1 139.9 54.0 Germantown township -------------------------- 164 204 216 66 76 78 121.8 47.0 121.8 47.0 Graceland township----------------------------- 108 149 174 40 46 55 93.7 36.2 86.0 33.2 Henry town----------------------------------- 215 217 182 96 112 96 4.0 1.6 4.0 1.6 Henry township-------------------------------- 112 125 142 36 44 50 88.7 34.3 88.7 34.2 Kampeska township ---------------------------- 226 273 249 79 81 66 92.9 35.9 90.8 35.1 Kranzburg town † ------------------------- 132 136 143 57 49 42 1.8 .7 1.8 .7 Kranzburg township ---------------------------- 340 363 417 122 117 107 156.6 60.5 156.6 60.5 Lake township--------------------------------- 690 551 1 016 217 165 617 56.8 21.9 55.3 21.3 Leola township -------------------------------- 63 103 121 27 33 42 88.7 34.2 86.0 33.2 Pelican township ------------------------------- 547 460 263 206 159 97 90.4 34.9 79.1 30.5 Phipps township ------------------------------- 77 105 133 28 38 45 93.5 36.1 86.3 33.3 Rauville township ------------------------------ 272 325 232 102 96 65 130.3 50.3 130.1 50.2 Richland township ------------------------------ 156 169 134 59 58 42 92.9 35.9 86.9 33.6 Sheridan township------------------------------ 407 368 607 125 122 181 86.9 33.6 86.8 33.5 South Shore town ------------------------------ 260 241 199 115 113 87 3.6 1.4 3.6 1.4 Wallace town --------------------------------- 83 90 95 52 55 46 .3 .1 .3 .1 Watertown city †-------------------------- 17 592 15 649 13 388 7 631 6 667 4 598 54.5 21.0 34.2 13.2 Waverly township ------------------------------ 163 232 307 66 68 74 117.3 45.3 117.3 45.3 

Corson County †------------------------------ 4 195 5 196 4 994 1 557 1 683 1 452 6 551.4 2 529.5 6 405.2 2 473.1 

Cadillac township ------------------------------ 39 43 49 15 12 15 134.0 51.7 133.4 51.5 Central Corson unorg. †--------------------- 1 632 1 399 944 501 378 226 2 167.6 836.9 2 144.9 828.1 

Bullhead CDP ------------------------------- 179 ... ... 53 ... ... 6.5 2.5 6.3 2.4 Little Eagle CDP------------------------------ 294 ... ... 72 ... ... 3.7 1.4 3.6 1.4 

Custer township ------------------------------- 55 65 62 18 27 31 133.2 51.4 132.8 51.3 Delaney township ------------------------------ 16 22 13 6 9 7 120.7 46.6 120.5 46.5 Grand Valley township -------------------------- 28 38 51 12 19 14 118.6 45.8 118.5 45.8 Lake township--------------------------------- 32 40 65 15 12 15 79.5 30.7 78.8 30.4 Lemon, No. 2 unorg. †----------------------- 72 ... ... 37 ... ... 191.1 73.8 190.9 73.7 Lincoln township ------------------------------- 90 87 97 37 33 36 268.9 103.8 268.5 103.7 

McIntosh city --------------------------------- 302 418 563 154 174 172 2.5 1.0 2.4 .9 

McLaughlin city-------------------------------- 780 754 863 320 317 284 1.1 .4 1.1 .4 

Mahto township ------------------------------- 31 36 51 13 13 14 93.4 36.1 93.3 36.0 Mission township ------------------------------ 148 268 137 51 49 36 286.7 110.7 228.6 88.3 

14 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Corson County †mCon.

Morristown town ------------------------------ 64 127 144 49 66 60 .9 .3 .9 .3 Northeast Corson unorg.------------------------- 190 272 333 80 80 89 485.4 187.4 444.0 171.4 Pioneer township------------------------------- 71 76 66 23 31 26 134.4 51.9 133.8 51.7 Pleasant Ridge township ------------------------- 30 42 36 10 11 9 93.2 36.0 92.8 35.8 Prairie View township --------------------------- 23 35 45 10 10 11 93.1 35.9 92.7 35.8 Ridgeland township ----------------------------- 68 82 81 24 32 29 229.1 88.5 212.6 82.1 Riverside township ----------------------------- 13 22 29 7 10 10 90.4 34.9 90.2 34.8 Rolling Green township -------------------------- 51 39 47 19 18 13 132.4 51.1 131.9 50.9 Sherman township ----------------------------- 34 45 40 11 17 11 93.2 36.0 93.0 35.9 Twin Butte township ---------------------------- 22 36 44 10 11 9 120.7 46.6 120.6 46.6 Wakpala township ----------------------------- 176 282 325 42 62 61 48.5 18.7 48.5 18.7 Walker township ------------------------------- 36 38 36 15 14 15 134.3 51.9 134.0 51.8 Watauga township ----------------------------- 56 62 86 21 26 38 41.1 15.9 41.1 15.9 West Corson unorg. ---------------------------- 136 184 153 57 57 52 1 257.4 485.5 1 255.4 484.7 

Custer County † ------------------------------ 6 179 6 000 4 698 3 003 2 785 1 901 4 038.4 1 559.2 4 034.6 1 557.8 

Buffalo Gap town ------------------------------ 173 186 155 78 83 65 .5 .2 .5 .2 Custer city †------------------------------- 1 741 1 830 1 597 792 808 649 3.7 1.4 3.7 1.4 East Custer unorg. ----------------------------- 921 816 672 449 481 327 2 096.0 809.3 2 093.1 808.2 Fairburn town --------------------------------- 62 41 50 34 28 22 1.0 .4 1.0 .4 Hermosa town † -------------------------- 242 251 150 103 86 56 .9 .4 .9 .4 Pringle town ---------------------------------- 96 105 86 51 67 36 .6 .2 .6 .2 West Custer unorg.----------------------------- 2 944 2 771 1 988 1 496 1 232 746 1 935.7 747.4 1 934.8 747.0 

Davison County †---------------------------- 17 503 17 820 17 319 7 490 7 229 5 847 1 131.3 436.8 1 127.8 435.5 

Badger township ------------------------------- 170 166 231 85 73 80 97.0 37.4 97.0 37.4 Baker township-------------------------------- 171 182 190 54 54 51 93.5 36.1 93.5 36.1 Beulah township ------------------------------- 369 393 341 143 136 105 92.9 35.9 92.9 35.9 Blendon township ------------------------------ 111 123 154 52 55 61 96.9 37.4 96.9 37.4 Ethan town ----------------------------------- 312 351 309 134 135 101 .6 .2 .6 .2 Lisbon township ------------------------------- 124 164 168 47 54 50 93.6 36.2 93.6 36.2 

Mitchell city † ---------------------------- 13 798 13 916 13 425 6 064 5 847 4 635 26.9 10.4 24.3 9.4 

Mitchell township ------------------------------ 759 697 656 267 233 199 72.8 28.1 72.7 28.1 

Mount Vernon city ----------------------------- 368 402 398 174 170 156 .8 .3 .8 .3 Mount Vernon township ------------------------- 179 186 217 65 69 76 93.7 36.2 93.6 36.1 

Perry township -------------------------------- 174 198 243 78 69 64 89.2 34.4 88.9 34.3 Prosper township ------------------------------ 500 493 290 162 152 77 93.0 35.9 92.7 35.8 Rome township -------------------------------- 238 275 353 82 87 87 92.6 35.8 92.6 35.8 Tobin township -------------------------------- 157 173 226 49 57 60 93.8 36.2 93.8 36.2 Union township -------------------------------- 73 101 118 34 38 45 93.8 36.2 93.7 36.2 

Day County † -------------------------------- 6 978 8 133 8 713 3 914 4 033 3 684 2 826.4 1 091.3 2 664.2 1 028.6 

Andover town --------------------------------- 106 139 138 69 69 65 .7 .3 .7 .3 Andover township ------------------------------ 127 162 199 54 56 68 185.2 71.5 184.2 71.1 Bristol city ----------------------------------- 419 445 470 208 218 212 1.4 .5 1.4 .5 Bristol township ------------------------------- 65 111 135 31 33 36 91.6 35.4 89.1 34.4 Butler town----------------------------------- 17 22 38 9 16 24 1.9 .7 1.9 .7 Butler township-------------------------------- 83 91 108 46 41 51 91.0 35.1 89.2 34.4 Central Point township -------------------------- 104 132 185 39 48 53 105.9 40.9 88.9 34.3 Egeland township ------------------------------ 109 128 159 50 53 56 111.3 43.0 107.4 41.5 Farmington township---------------------------- 76 88 98 30 33 36 93.5 36.1 92.0 35.5 Grenville town--------------------------------- 81 119 154 50 64 58 .6 .2 .6 .2 Grenville township------------------------------ 152 148 232 66 53 65 102.6 39.6 87.1 33.6 Highland township------------------------------ 111 164 190 58 56 52 94.3 36.4 91.7 35.4 Homer township ------------------------------- 68 91 103 31 31 33 93.3 36.0 93.1 36.0 Independence township -------------------------- 83 118 156 37 41 48 93.5 36.1 88.1 34.0 Kidder township ------------------------------- 94 100 90 43 39 40 93.0 35.9 90.3 34.9 Kosciusko township----------------------------- 195 243 244 401 394 337 108.1 41.7 102.7 39.7 Liberty township ------------------------------- 89 108 134 42 40 48 92.0 35.5 78.1 30.2 Lily town ------------------------------------ 26 38 62 19 19 31 1.1 .4 1.1 .4 Lynn township -------------------------------- 72 85 147 33 36 47 93.3 36.0 91.6 35.4 

Morton township ------------------------------ 105 126 134 41 40 43 93.3 36.0 92.0 35.5 

Nutley township ------------------------------- 101 126 137 40 46 51 97.8 37.8 87.3 33.7 Oak Gulch township ---------------------------- 35 54 77 17 15 27 90.9 35.1 89.6 34.6 Pierpont town --------------------------------- 173 184 241 90 92 95 .7 .3 .7 .3 Racine township ------------------------------- 98 122 126 39 41 37 93.2 36.0 72.5 28.0 Raritan township------------------------------- 110 121 142 45 46 45 92.1 35.6 89.8 34.7 Roslyn town ---------------------------------- 251 261 250 114 118 86 .5 .2 .5 .2 Rusk township -------------------------------- 153 208 298 73 75 97 93.1 35.9 91.3 35.3 Scotland township------------------------------ 39 60 48 15 17 26 93.2 36.0 93.1 35.9 Troy township--------------------------------- 65 69 91 28 31 39 94.3 36.4 88.6 34.2 Union township -------------------------------- 87 120 181 37 37 54 92.1 35.6 91.8 35.4 

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 15
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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Day County †mCon.

Valley township ------------------------------- 51 103 116 25 34 36 93.1 35.9 92.5 35.7 Waubay city ---------------------------------- 647 675 696 341 362 293 3.5 1.4 3.5 1.4 Waubay township ------------------------------ 491 516 467 483 494 427 154.7 59.7 119.1 46.0 Webster city †---------------------------- 2 017 2 417 2 252 1 018 1 083 835 3.9 1.5 3.9 1.5 Webster township ------------------------------ 324 249 176 117 83 57 89.2 34.5 86.6 33.4 Wheatland township ---------------------------- 111 122 146 50 50 45 94.2 36.4 93.7 36.2 York township -------------------------------- 43 68 93 25 29 31 92.3 35.7 88.5 34.2 

Deuel County †------------------------------- 4 522 5 289 5 686 2 208 2 330 2 188 1 649.2 636.8 1 615.1 623.6 

Altamont town -------------------------------- 48 58 54 24 23 25 3.6 1.4 3.6 1.4 Altamont township ----------------------------- 109 143 160 46 51 62 102.7 39.7 94.5 36.5 Antelope Valley township ------------------------ 45 82 86 28 31 36 49.7 19.2 49.7 19.2 Astoria town---------------------------------- 155 154 153 79 89 68 .4 .2 .4 .2 Blom township -------------------------------- 140 150 213 64 75 70 92.7 35.8 92.7 35.8 Brandt town ---------------------------------- 123 129 132 62 64 68 3.2 1.3 3.2 1.3 Brandt township ------------------------------- 159 162 194 56 71 69 92.9 35.8 92.9 35.8 Clear Lake city †---------------------------- 1 247 1 310 1 157 589 562 469 8.3 3.2 7.8 3.0 Clear Lake township ---------------------------- 188 248 243 77 80 70 100.2 38.7 96.8 37.4 Gary city ------------------------------------ 274 354 366 163 169 145 1.8 .7 1.8 .7 Glenwood township----------------------------- 102 155 187 43 53 61 112.8 43.6 111.0 42.9 Goodwin town -------------------------------- 126 139 114 48 53 41 1.2 .5 1.2 .5 Goodwin township ----------------------------- 188 219 269 84 80 92 104.7 40.4 104.6 40.4 Grange township------------------------------- 128 167 208 54 63 66 93.2 36.0 93.2 36.0 Havana township ------------------------------ 194 247 290 73 77 95 107.6 41.5 107.6 41.5 Herrick township ------------------------------- 171 162 222 64 62 68 113.4 43.8 111.6 43.1 Hidewood township----------------------------- 110 148 187 44 52 56 92.9 35.8 92.9 35.8 Lowe township -------------------------------- 141 198 207 52 57 65 92.7 35.8 92.7 35.8 Norden township------------------------------- 263 312 370 279 286 230 143.5 55.4 139.9 54.0 Portland township ------------------------------ 93 112 123 35 48 43 92.3 35.7 91.5 35.3 Rome township -------------------------------- 102 143 168 38 42 51 93.0 35.9 83.4 32.2 Scandinavia township --------------------------- 215 261 367 101 125 134 145.6 56.2 141.6 54.7 Toronto town † --------------------------- 201 236 216 105 117 104 .8 .3 .8 .3 

Dewey County ---------------------------------- 5 523 5 366 5 170 2 123 1 871 1 554 6 334.4 2 445.7 5 964.3 2 302.8 

Eagle Butte city (pt.) †----------------------- 475 435 530 181 167 162 .6 .2 .6 .2 Isabel city------------------------------------ 319 332 394 169 176 150 1.6 .6 1.6 .6 North Dewey unorg. ---------------------------- 3 393 2 982

... 1 170 938

... 2 350.2 907.4 2 344.9 905.4 

North Eagle Butte CDP ------------------------ 1 423 1 354 1 351 517 414 336 1.8 .7 1.8 .7 

South Dewey unorg. ---------------------------- 819 957

... 351 333

... 3 980.9 1 537.0 3 616.1 1 396.2 

Timber Lake city ------------------------------- 517 660 625 252 257 210 1.1 .4 1.1 .4 

Douglas County † --------------------------- 3 746 4 181 4 569 1 517 1 595 1 527 1 124.5 434.2 1 123.1 433.6 

Armour city ---------------------------------- 854 819 925 389 393 348 2.5 1.0 2.5 1.0 Belmont township ------------------------------ 82 117 149 31 39 52 88.9 34.3 88.9 34.3 Chester township ------------------------------ 89 164 134 36 49 49 73.3 28.3 73.3 28.3 Clark township -------------------------------- 177 206 239 68 71 78 72.6 28.0 72.4 28.0 Corsica city †----------------------------- 619 644 615 259 263 224 1.7 .7 1.7 .7 Delmont city ---------------------------------- 235 290 260 148 154 139 2.0 .8 2.0 .8 East Choteau township -------------------------- 151 153 128 39 40 32 41.0 15.8 41.0 15.8 Garfield township ------------------------------ 97 104 141 29 37 39 76.3 29.5 76.3 29.5 Grandview township ---------------------------- 116 169 214 40 50 62 90.8 35.1 90.3 34.9 Holland township ------------------------------ 233 209 243 83 85 83 76.2 29.4 76.2 29.4 Independence township -------------------------- 175 204 223 62 63 65 93.4 36.0 93.4 36.0 Iowa township -------------------------------- 144 167 195 43 55 55 93.0 35.9 93.0 35.9 Joubert township ------------------------------ 181 193 229 70 67 68 75.8 29.3 75.4 29.1 Lincoln township ------------------------------- 144 189 235 47 53 54 92.0 35.5 92.0 35.5 Valley township ------------------------------- 148 180 221 53 50 57 94.1 36.3 93.7 36.2 Walnut Grove township-------------------------- 152 201 218 63 69 61 75.4 29.1 75.4 29.1 Washington township --------------------------- 149 172 200 57 57 61 75.6 29.2 75.6 29.2 

Edmunds County †--------------------------- 4 356 5 159 5 548 2 004 2 111 1 939 2 981.7 1 151.2 2 967.2 1 145.7 

Adrian township ------------------------------- 20 24 33 8 10 13 92.4 35.7 92.3 35.6 Belle township -------------------------------- 105 146 57 24 29 18 93.5 36.1 93.5 36.1 Bowdle city----------------------------------- 589 644 667 289 296 257 1.6 .6 1.6 .6 Bowdle township------------------------------- 76 89 110 33 36 34 91.2 35.2 91.1 35.2 Bryant township ------------------------------- 36 65 94 18 23 27 92.0 35.5 91.7 35.4 Clear Lake township ---------------------------- 52 66 75 34 32 27 93.6 36.2 89.8 34.7 Cleveland township ----------------------------- 31 65 65 15 18 16 93.6 36.1 93.4 36.1 Cloyd Valley township--------------------------- 33 42 61 14 20 19 93.8 36.2 93.3 36.0 Cortlandt township ----------------------------- 424 372 188 299 275 192 91.6 35.4 89.0 34.4 Cottonwood Lake township ----------------------- 72 77 97 23 24 24 93.3 36.0 93.2 36.0 

16 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Edmunds County †mCon.

Fountain township------------------------------ 80 90 138 24 24 30 93.5 36.1 93.5 36.1 Glen township--------------------------------- 35 70 86 21 22 22 92.4 35.7 92.4 35.7 Glover township ------------------------------- 53 60 88 23 21 22 93.5 36.1 93.4 36.1 Harmony township ----------------------------- 169 ... ... 37 ... ... 94.2 36.4 94.0 36.3 Hillside township ------------------------------- 41 65 85 18 22 24 93.5 36.1 93.3 36.0 Hosmer city ---------------------------------- 310 385 437 167 176 171 2.6 1.0 2.6 1.0 Hosmer township ------------------------------ 32 76 112 16 24 25 90.7 35.0 90.5 35.0 Hudson township ------------------------------ 53 67 78 18 27 25 93.2 36.0 90.2 34.8 Huntley township ------------------------------ 48 71 67 17 24 20 93.0 35.9 92.9 35.9 Ipswich city----------------------------------- 965 1 153 1 187 434 473 420 3.4 1.3 3.4 1.3 Ipswich township ------------------------------ 71 77 84 24 24 25 90.8 35.0 90.7 35.0 Kent township--------------------------------- 33 39 56 14 15 17 93.2 36.0 93.1 35.9 Liberty township ------------------------------- 32 44 46 14 14 14 93.8 36.2 93.3 36.0 

Madison township------------------------------ 23 52 45 11 16 19 93.6 36.1 93.2 36.0 Modena township †------------------------ 48 54

... 17 19

... 92.5 35.7 91.6 35.4 

Montpelier township ---------------------------- 50 77 90 16 25 24 93.8 36.2 93.8 36.2 

North Bryant township -------------------------- 48 71 85 23 25 25 92.4 35.7 91.7 35.4 Odessa township------------------------------- 36 54 94 18 20 22 93.4 36.0 93.3 36.0 Pembrook township----------------------------- 61 67 70 19 22 22 90.3 34.9 90.3 34.9 Powell township ------------------------------- 37 55 85 20 21 29 93.9 36.3 93.9 36.2 Richland township ------------------------------ 39 46 64 20 20 20 92.6 35.8 92.5 35.7 Roscoe city ----------------------------------- 362 370 398 183 185 170 1.3 .5 1.3 .5 Rosette township ------------------------------ 140 144 213 32 26 35 94.2 36.4 94.1 36.3 Sangamon township ---------------------------- 64 90 126 27 31 32 92.2 35.6 92.1 35.6 Union township -------------------------------- 40 67 81 15 17 22 93.5 36.1 93.5 36.1 Vermont township------------------------------ 48 52 67 19 19 20 93.8 36.2 93.8 36.2 

Fall River County † ---------------------------- 7 353 8 439 7 505 3 692 3 995 3 203 4 530.5 1 749.2 4 506.4 1 739.9 

Antelope township ----------------------------- 58 55 50 22 18 19 272.2 105.1 271.6 104.9 Argentine township ----------------------------- 22 25 26 11 15 14 92.8 35.8 92.7 35.8 Cottonwood township --------------------------- 31 51 15 22 16 7 90.3 34.9 90.3 34.9 Edgemont city †--------------------------- 906 1 468 1 174 564 685 532 2.6 1.0 2.6 1.0 Harmony township ----------------------------- 29 44 53 21 23 25 137.9 53.2 137.7 53.2 Hot Springs city ------------------------------- 4 325 4 742 4 434 1 872 1 930 1 460 7.4 2.9 7.4 2.9 Northeast Fall River unorg. † ----------------- 1 492 1 265 1 122 857 721 438 1 728.1 667.2 1 706.9 659.0 Oelrichs town --------------------------------- 138 124 94 67 56 42 1.0 .4 1.0 .4 Provo township -------------------------------- 32 139 103 47 288 448 92.1 35.6 92.0 35.5 Robins township ------------------------------- 15 28 30 11 12 12 93.0 35.9 92.9 35.9 Southwest Fall River unorg. †----------------- 305 418 190 198 186 91 2 013.2 777.3 2 011.4 776.6 

Faulk County † ------------------------------- 2 744 3 327 3 893 1 286 1 426 1 387 2 604.9 1 005.8 2 590.6 1 000.2 

Arcade township ------------------------------- 32 72 132 13 34 44 93.1 35.9 92.9 35.9 Bryant township ------------------------------- 52 67 71 19 21 20 93.0 35.9 92.3 35.6 Centerville township ---------------------------- 39 62 72 16 22 22 93.2 36.0 92.6 35.8 Chelsea town --------------------------------- 33 41 45 14 20 20 .8 .3 .8 .3 Clark township -------------------------------- 44 78 96 15 22 17 93.0 35.9 92.0 35.5 Cresbard town -------------------------------- 185 221 224 95 104 101 1.1 .4 1.1 .4 Devoe township ------------------------------- 47 59 97 20 28 29 93.6 36.1 93.5 36.1 Ellisville township ------------------------------ 45 68 52 17 20 19 93.4 36.0 93.0 35.9 Emerson township------------------------------ 36 50 67 16 21 23 93.1 36.0 92.8 35.8 Enterprise township----------------------------- 104 159 147 27 37 29 91.9 35.5 91.2 35.2 Fairview township ------------------------------ 44 50 68 19 22 21 92.4 35.7 92.4 35.7 Faulkton city---------------------------------- 809 981 955 427 449 362 2.7 1.0 2.7 1.0 Freedom township------------------------------ 159 162 179 42 46 44 93.5 36.1 93.1 35.9 Hillsdale township ------------------------------ 59 59 96 25 31 36 93.5 36.1 92.9 35.9 Irving township †-------------------------- 18 ... ... 7 ... ... 93.4 36.1 92.6 35.8 Lafoon township ------------------------------- 63 75 85 32 25 25 93.1 35.9 92.9 35.8 

Myron township ------------------------------- 71 58 88 24 18 20 93.5 36.1 93.5 36.1 

Onaka town ---------------------------------- 52 70 69 31 37 32 .7 .3 .7 .3 O’Neil township ------------------------------- 15 15 20 6 6 8 93.9 36.2 93.4 36.1 Orient town ---------------------------------- 59 87 131 45 53 52 .8 .3 .8 .3 Orient township ------------------------------- 48 68 106 20 19 23 92.5 35.7 92.3 35.6 Pioneer township------------------------------- 37 58 74 12 20 26 92.4 35.7 92.4 35.7 Pulaski unorg. †--------------------------- 19 ... ... 11 ... ... 93.8 36.2 93.6 36.2 Rockham town -------------------------------- 48 52 60 22 30 35 1.3 .5 1.3 .5 Saratoga township ----------------------------- 94 24 48 31 14 14 92.6 35.7 92.0 35.5 Seneca town---------------------------------- 81 103 118 45 47 55 1.1 .4 1.1 .4 Sherman township ----------------------------- 47 53 78 20 18 21 92.7 35.8 92.4 35.7 Southwest Faulk unorg.-------------------------- 87 141 155 54 61 59 372.3 143.8 370.2 142.9 Tamworth township----------------------------- 92 110 135 65 73 82 90.5 35.0 90.0 34.7 Union township -------------------------------- 75 80 105 32 32 29 88.9 34.3 85.6 33.0 Wesley township------------------------------- 46 69 86 24 29 27 91.5 35.3 91.4 35.3 Zell township --------------------------------- 104 107 149 40 54 62 91.5 35.3 91.1 35.2 

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 17
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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Grant County †------------------------------- 8 372 9 013 9 005 3 549 3 567 2 999 1 781.8 688.0 1 767.7 682.5 

Adams township ------------------------------- 190 242 335 82 106 109 141.2 54.5 141.2 54.5 Alban township-------------------------------- 622 624 487 221 201 144 142.4 55.0 141.2 54.5 Albee town ----------------------------------- 15 23 26 11 10 10 .3 .1 .3 .1 Big Stone township ----------------------------- 318 285 262 120 100 79 87.3 33.7 82.2 31.7 Big Stone City city ----------------------------- 669 672 631 323 325 220 3.6 1.4 3.6 1.4 Blooming Valley township ------------------------ 118 130 155 44 49 53 94.1 36.3 93.8 36.2 Farmington township---------------------------- 53 65 78 19 28 32 56.8 21.9 56.7 21.9 Georgia township ------------------------------ 97 140 177 47 53 52 91.8 35.4 91.3 35.3 Grant Center township -------------------------- 298 316 289 109 110 86 93.3 36.0 93.1 36.0 Kilborn township ------------------------------- 172 197 206 66 72 72 92.7 35.8 92.7 35.8 La Bolt town---------------------------------- 91 94 90 41 43 49 .6 .2 .6 .2 Lura township --------------------------------- 89 121 145 36 41 45 82.7 31.9 82.3 31.8 

Madison township------------------------------ 147 179 217 66 69 68 92.7 35.8 92.6 35.8 

Marvin town---------------------------------- 38 52 65 27 28 27 2.6 1.0 2.6 1.0 Mazeppa township ----------------------------- 96 136 168 40 45 57 135.1 52.2 134.1 51.8 Melrose township ------------------------------ 409 412 434 127 123 108 124.1 47.9 123.8 47.8 Milbank city † ---------------------------- 3 879 4 120 3 727 1 711 1 665 1 281 6.5 2.5 6.3 2.4 

Osceola township ------------------------------ 108 156 185 33 43 46 111.6 43.1 109.6 42.3 Revillo town † ---------------------------- 152 158 142 95 87 63 .4 .2 .4 .2 Stockholm town † ------------------------- 89 95 116 43 48 47 1.2 .4 1.1 .4 Stockholm township ---------------------------- 124 109 149 44 42 52 90.9 35.1 90.5 34.9 Strandburg town------------------------------- 74 79 98 39 39 43 .2 .1 .2 .1 Troy township--------------------------------- 59 92 141 38 53 52 92.3 35.6 90.2 34.8 Twin Brooks town------------------------------ 54 87 122 26 29 34 1.0 .4 1.0 .4 Twin Brooks township --------------------------- 122 118 169 43 49 53 94.3 36.4 94.3 36.4 Vernon township------------------------------- 289 311 391 98 109 117 142.1 54.9 141.7 54.7 

Gregory County † --------------------------- 5 359 6 015 6 710 2 595 2 610 2 507 2 728.5 1 053.5 2 631.4 1 016.0 

Bonesteel city --------------------------------- 297 358 354 176 170 160 .9 .3 .9 .3 Burke city † ------------------------------- 756 859 892 392 401 340 1.4 .6 1.4 .6 Burke township-------------------------------- 99 105 152 52 43 46 91.4 35.3 91.2 35.2 Carlock township------------------------------- 87 106 136 36 42 49 90.2 34.8 90.2 34.8 Dallas town ---------------------------------- 142 199 233 74 82 80 1.3 .5 1.3 .5 Dickens township ------------------------------ 92 112 159 46 47 48 93.2 36.0 93.1 35.9 Dixon township-------------------------------- 159 132 168 53 62 62 167.8 64.8 167.3 64.6 East Gregory unorg. ---------------------------- 22 26 30 10 11 8 61.2 23.6 55.9 21.6 Edens township-------------------------------- 64 86 92 29 30 33 92.6 35.7 92.4 35.7 Ellston township ------------------------------- 98 115 243 50 40 59 89.5 34.6 89.2 34.4 Fairfax town---------------------------------- 144 225 199 93 105 95 .8 .3 .8 .3 Fairfax township ------------------------------- 118 145 183 57 58 60 84.3 32.5 84.1 32.5 Gregory city ---------------------------------- 1 384 1 503 1 756 712 721 698 3.5 1.4 3.5 1.4 Herrick town ---------------------------------- 139 115 126 67 56 58 1.3 .5 1.3 .5 Jones township -------------------------------- 69 96 115 35 39 43 93.2 36.0 93.1 36.0 Landing Creek township-------------------------- 24 50 38 11 20 18 163.9 63.3 160.0 61.8 Lone Star township ----------------------------- 93 94 107 35 40 44 90.4 34.9 90.4 34.9 North Gregory unorg. --------------------------- 829 ... ... 320 ... ... 694.9 268.3 671.3 259.2 Pleasant Valley township------------------------- 235 224 171 86 76 59 94.1 36.3 94.1 36.3 St. Charles township---------------------------- 85 118 150 55 56 57 138.6 53.5 138.5 53.5 Schriever township ----------------------------- 58 75 76 25 25 27 61.6 23.8 61.6 23.8 Southeast Gregory unorg.------------------------ 55 69 96 25 29 28 118.6 45.8 102.1 39.4 Spring Valley unorg. † ----------------------- 85 ... ... 46 ... ... 90.1 34.8 90.1 34.8 Star Valley township---------------------------- 84 101 144 44 42 40 142.6 55.0 125.0 48.3 Union township -------------------------------- 113 172 170 47 51 57 91.7 35.4 91.6 35.4 Whetstone township ---------------------------- 28 36 42 19 14 16 169.5 65.4 141.0 54.4 

Haakon County † ----------------------------- 2 624 2 794 2 802 1 071 1 128 1 025 4 732.9 1 827.4 4 696.0 1 813.1 

East Haakon unorg. †------------------------ 556 616 684 224 241 234 2 870.0 1 108.1 2 846.5 1 099.0 

Midland town --------------------------------- 233 277 270 103 122 117 .9 .3 .9 .3 

Philip city ------------------------------------ 1 077 1 088 983 450 444 354 1.5 .6 1.5 .6 West Haakon unorg.---------------------------- 758 763 801 294 303 300 1 860.5 718.3 1 847.1 713.2 

Hamlin County ---------------------------------- 4 974 5 261 5 520 2 500 2 554 2 265 1 393.4 538.0 1 324.0 511.2 

Brantford township ----------------------------- 158 185 242 63 66 73 138.5 53.5 138.2 53.4 Bryant city ----------------------------------- 374 388 502 212 225 223 1.4 .5 1.4 .5 Castlewood city ------------------------------- 549 557 523 233 232 187 2.7 1.1 2.7 1.1 Castlewood township --------------------------- 171 158 165 57 57 52 90.0 34.8 89.7 34.6 Cleveland township ----------------------------- 159 195 211 51 70 64 93.0 35.9 92.2 35.6 Dempster township ----------------------------- 245 289 330 86 95 83 92.9 35.9 92.9 35.9 Dixon township-------------------------------- 89 96 129 35 53 52 93.1 35.9 93.1 35.9 Estelline city ---------------------------------- 658 719 624 300 307 249 2.5 1.0 2.5 1.0 Estelline township ------------------------------ 245 292 324 341 317 287 137.1 52.9 122.5 47.3 Florence township ------------------------------ 124 136 146 50 50 50 92.8 35.8 89.2 34.4 

18 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Hamlin CountymCon.

Garfield township ------------------------------ 164 187 179 48 61 54 91.5 35.3 91.5 35.3 Hamlin township ------------------------------- 239 204 303 75 80 81 92.9 35.9 92.9 35.9 Hayti town ----------------------------------- 372 371 393 167 167 147 .7 .3 .7 .3 Hayti township -------------------------------- 146 184 160 46 60 60 92.2 35.6 84.6 32.7 Hazel town ----------------------------------- 103 94 101 46 47 47 .6 .2 .6 .2 Lake Norden city------------------------------- 427 417 393 188 182 163 1.7 .7 1.7 .7 Norden township------------------------------- 314 310 300 349 323 227 137.4 53.0 104.8 40.5 Opdahl township ------------------------------- 202 217 241 68 72 78 93.0 35.9 88.0 34.0 Oxford township ------------------------------- 235 262 254 85 90 88 139.3 53.8 134.7 52.0 

Hand County † ------------------------------- 4 272 4 948 5 883 2 053 2 018 2 054 3 730.5 1 440.3 3 721.1 1 436.7 

Alden township -------------------------------- 42 52 86 18 18 21 94.2 36.4 94.2 36.4 Alpha township-------------------------------- 41 59 75 23 23 30 93.1 36.0 93.1 35.9 Bates township -------------------------------- 59 82 76 29 28 33 94.3 36.4 93.6 36.2 Burdette township------------------------------ 57 71 108 32 32 30 92.3 35.6 92.3 35.6 Campbell township ----------------------------- 28 33 48 13 12 13 92.8 35.8 92.8 35.8 Carlton township------------------------------- 43 55 70 24 26 28 93.2 36.0 93.2 36.0 Cedar township-------------------------------- 46 51 64 18 15 26 88.5 34.2 88.4 34.1 Como township-------------------------------- 40 60 63 22 20 22 88.7 34.2 88.7 34.2 Florence township ------------------------------ 32 65 76 23 20 25 93.0 35.9 93.0 35.9 Gilbert township ------------------------------- 65 78 94 36 34 32 92.8 35.8 92.8 35.8 Glendale township------------------------------ 29 35 45 16 14 20 93.8 36.2 93.6 36.1 Grand township ------------------------------- 74 94 124 36 39 40 96.5 37.3 96.4 37.2 Greenleaf township ----------------------------- 36 35 30 16 13 21 93.8 36.2 92.8 35.8 Hiland township ------------------------------- 33 47 52 16 13 27 92.5 35.7 92.4 35.7 Holden township ------------------------------- 60 76 93 29 31 35 93.7 36.2 93.7 36.2 Hulbert township------------------------------- 72 79 76 32 32 34 94.1 36.3 94.0 36.3 Linn township --------------------------------- 65 65 80 28 30 28 94.0 36.3 94.0 36.3 Logan township-------------------------------- 39 38 55 21 16 23 93.2 36.0 93.1 35.9 

Midland township ------------------------------ 46 37 59 16 12 18 96.2 37.2 95.9 37.0 Miller city † ------------------------------- 1 678 1 931 2 148 877 889 788 2.5 .9 2.5 .9 Miller township -------------------------------- 147 164 156 62 61 51 91.9 35.5 91.3 35.3 Mondamin township ---------------------------- 27 39 54 16 12 21 93.3 36.0 92.9 35.9 

Northwest Hand unorg. †-------------------- 285 ... ... 110 ... ... 375.5 145.0 374.6 144.6 Ohio township--------------------------------- 134 100 109 41 30 35 93.3 36.0 93.2 36.0 Ontario township † ----------------------- 46 73 96 20 23 24 92.7 35.8 92.7 35.8 Park township--------------------------------- 49 74 119 25 27 32 93.7 36.2 93.3 36.0 Pearl township -------------------------------- 30 46 39 14 15 16 92.0 35.5 91.8 35.4 Plato township -------------------------------- 66 65 84 24 22 29 93.4 36.1 93.4 36.1 Pleasant Valley township------------------------- 49 48 86 25 17 31 93.3 36.0 92.1 35.5 Ree Heights town ------------------------------ 91 88 183 49 54 66 .8 .3 .8 .3 Ree Heights township --------------------------- 42 41 60 14 13 17 90.9 35.1 90.8 35.1 Riverside township ----------------------------- 31 48 47 15 15 15 93.1 35.9 93.1 35.9 Rockdale township ----------------------------- 147 107 129 41 27 27 93.7 36.2 93.6 36.1 Rose Hill township------------------------------ 60 93 104 31 28 29 94.4 36.5 94.3 36.4 St. Lawrence town ----------------------------- 223 223 249 114 112 100 4.0 1.5 4.0 1.5 St. Lawrence township -------------------------- 63 90 97 29 36 34 93.0 35.9 93.0 35.9 Spring Hill township ---------------------------- 50 54 75 21 20 18 89.4 34.5 88.9 34.3 Spring Lake township --------------------------- 37 46 62 25 18 33 93.0 35.9 90.7 35.0 Wessington city (pt.) --------------------------- 24 23 35 8 8 8 .1 – .1 – Wheaton township ----------------------------- 47 62 83 24 26 32 92.1 35.6 92.1 35.6 York township -------------------------------- 39 54 73 20 22 28 93.9 36.3 93.9 36.3 

Hanson County ---------------------------------- 2 994 3 415 3 781 1 232 1 253 1 278 1 128.4 435.7 1 125.9 434.7 

Alexandria city -------------------------------- 518 588 598 261 259 241 1.5 .6 1.5 .6 Beulah township ------------------------------- 224 262 251 55 52 58 93.7 36.2 93.7 36.2 Edgerton township ----------------------------- 129 169 259 49 52 70 93.0 35.9 92.6 35.8 Emery city ----------------------------------- 417 399 452 210 218 198 .9 .4 .9 .4 Fairview township ------------------------------ 132 152 212 46 53 60 95.9 37.0 95.7 37.0 Farmer town ---------------------------------- 23 27 58 12 17 20 1.3 .5 1.3 .5 Fulton town ---------------------------------- 70 108 101 35 44 49 2.2 .9 2.2 .9 Hanson township ------------------------------ 193 216 189 74 76 67 93.3 36.0 93.1 36.0 Jasper township ------------------------------- 147 157 191 57 57 66 91.7 35.4 91.7 35.4 Plano township -------------------------------- 130 140 183 46 51 61 95.5 36.9 95.5 36.9 Pleasant township ------------------------------ 153 172 193 50 54 61 92.5 35.7 92.2 35.6 Rosedale township ----------------------------- 293 281 264 86 66 64 93.6 36.1 93.3 36.0 Spring Lake township --------------------------- 130 162 197 57 59 66 95.3 36.8 94.8 36.6 Taylor township ------------------------------- 146 181 212 56 61 74 93.3 36.0 93.3 36.0 Wayne township ------------------------------- 192 254 223 93 83 67 91.7 35.4 91.3 35.2 Worthen township------------------------------ 97 147 198 45 51 56 93.0 35.9 92.8 35.8 

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 19
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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Harding County †---------------------------- 1 669 1 700 1 855 776 803 629 6 935.1 2 677.6 6 916.8 2 670.6 

Buffalo town --------------------------------- 488 453 393 240 258 182 1.4 .5 1.4 .5 Camp Crook town------------------------------ 146 100 150 55 50 40 .4 .1 .4 .1 North Harding unorg. --------------------------- 697 742 716 320 330 206 3 905.1 1 507.8 3 895.2 1 503.9 South Harding unorg. --------------------------- 338 405 431 161 165 145 3 028.2 1 169.2 3 019.8 1 165.9 

Hughes County † ----------------------------- 14 817 14 220 11 632 6 255 5 607 3 773 2 072.9 800.3 1 919.1 741.0 

Blunt city ------------------------------------ 342 424 445 172 190 155 1.3 .5 1.3 .5 Butte township -------------------------------- 28 34 41 10 10 11 93.9 36.3 93.6 36.1 Crow Creek unorg. ----------------------------- 171 205

... 55 49

... 312.1 120.5 258.1 99.7 

Harrold town † --------------------------- 167 196 184 91 99 79 .7 .3 .7 .3 Logan township-------------------------------- 19 30 44 12 15 13 97.1 37.5 97.1 37.5 North Hughes unorg.---------------------------- 170 184 84 90 71 28 486.4 187.8 485.3 187.4 Pierre city † ------------------------------- 12 906 11 973 9 699 5 390 4 742 3 158 33.8 13.0 33.7 13.0 Raber township-------------------------------- 41 59 87 23 27 28 137.6 53.1 134.0 51.7 Valley township ------------------------------- 10 35 54 9 16 13 93.3 36.0 93.1 36.0 West Hughes unorg. † ----------------------- 963 963 544 403 338 158 816.7 315.3 722.2 278.8 

Hutchinson County † ------------------------- 8 262 9 350 10 379 3 657 3 867 3 604 2 109.4 814.5 2 105.8 813.0 

Capital township ------------------------------- 103 141 157 50 62 57 92.6 35.8 92.6 35.8 Clayton township ------------------------------ 172 232 298 80 88 99 124.6 48.1 124.5 48.1 Cross Plains township --------------------------- 118 150 227 53 56 65 76.6 29.6 76.3 29.5 Dimock town --------------------------------- 157 140 167 65 62 56 .4 .2 .4 .2 Fair township --------------------------------- 146 166 237 59 75 80 90.2 34.8 90.2 34.8 Foster township ------------------------------- 144 196 166 41 51 39 76.3 29.5 75.5 29.2 Freeman city---------------------------------- 1 293 1 462 1 357 625 641 524 1.7 .7 1.7 .7 German township ------------------------------ 142 156 216 62 70 70 91.0 35.1 90.9 35.1 Grandview township ---------------------------- 253 234 299 101 90 94 91.7 35.4 91.7 35.4 Kassel township ------------------------------- 131 152 181 54 55 50 93.4 36.1 93.1 35.9 Kaylor township ------------------------------- 223 269 305 92 114 113 92.2 35.6 92.1 35.6 Kulm township -------------------------------- 108 137 185 43 55 56 91.4 35.3 91.4 35.3 Liberty township ------------------------------- 162 190 218 62 69 68 89.8 34.7 89.8 34.7 

Menno city ----------------------------------- 768 793 796 372 352 337 1.2 .5 1.2 .5 Milltown township------------------------------ 146 186 325 72 73 88 92.4 35.7 92.4 35.7 Molan township ------------------------------- 180 213 263 69 85 80 93.4 36.1 93.4 36.0 

Oak Hollow township --------------------------- 68 135 151 36 54 53 83.7 32.3 83.7 32.3 Olivet town----------------------------------- 74 96 103 53 62 65 .4 .2 .4 .2 Parkston city † --------------------------- 1 572 1 545 1 611 716 722 618 2.3 .9 2.3 .9 Pleasant township ------------------------------ 62 80 94 29 32 36 75.1 29.0 75.1 29.0 Sharon township ------------------------------- 111 143 217 54 59 60 91.8 35.5 91.8 35.5 Silver Lake township ---------------------------- 114 146 158 49 56 54 74.9 28.9 73.3 28.3 Starr township -------------------------------- 151 188 218 51 57 53 73.8 28.5 73.8 28.5 Susquehanna township -------------------------- 207 262 357 75 81 71 90.5 34.9 90.5 34.9 Sweet township ------------------------------- 258 340 293 81 99 84 93.0 35.9 93.0 35.9 Tripp city ------------------------------------ 664 804 851 369 390 355 1.4 .6 1.4 .6 Valley township ------------------------------- 220 249 253 82 90 83 93.4 36.1 93.4 36.1 Wittenberg township ---------------------------- 267 300 387 87 97 120 137.8 53.2 137.8 53.2 Wolf Creek township---------------------------- 248 245 289 75 70 76 92.2 35.6 92.0 35.5 

Hyde County † ------------------------------- 1 696 2 069 2 515 816 863 879 2 244.6 866.7 2 230.2 861.1 

Central Hyde unorg. † ---------------------- 459 481

... 183 188

... 1 099.1 424.4 1 096.3 423.3 

Crow Creek unorg. ----------------------------- 90 143

... 41 40

... 220.1 85.0 214.1 82.7 

Dewey township ------------------------------- 14 24

... 9 10

... 94.2 36.4 93.4 36.1 

Highmore city --------------------------------- 835 1 055 1 173 455 474 457 4.7 1.8 4.7 1.8 North Hyde unorg. ----------------------------- 249 291

... 108 112

... 639.9 247.0 635.8 245.5 

Valley township ------------------------------- 39 24 39 13 14 11 93.8 36.2 93.3 36.0 William Hamilton township ----------------------- 10 11 27 7 10 8 92.9 35.9 92.6 35.7 

Jackson County †---------------------------- 2 811 3 437 1 531 1 147 1 296 589 4 847.0 1 871.4 4 841.5 1 869.3 

Belvidere town -------------------------------- 63 80 96 47 72 50 2.3 .9 2.2 .8 Cottonwood town ------------------------------ 12 4 16 6 4 8 2.4 .9 2.4 .9 East Jackson unorg. ---------------------------- 236 244 101 106 111 30 931.7 359.7 929.6 358.9 Grandview township ---------------------------- 17 20 20 8 8 9 92.1 35.6 92.0 35.5 Interior town---------------------------------- 67 62 81 40 41 32 3.5 1.3 3.5 1.3 Interior township------------------------------- 60 110 69 46 59 27 262.6 101.4 262.3 101.3 Jewett township ------------------------------- 21 24 32 9 8 9 92.6 35.7 92.6 35.7 Kadoka city ---------------------------------- 736 832 815 365 367 301 6.0 2.3 6.0 2.3 Little Buffalo township -------------------------- 20 18 22 9 7 7 92.9 35.9 92.6 35.8 Northwest Jackson unorg.------------------------ 64 92 71 35 37 27 368.0 142.1 367.6 141.9 Southeast Jackson unorg. † ---------------- 214 233

... 110 102

... 987.2 381.1 986.4 380.9 

Southwest Jackson unorg.------------------------ 1 269 1 673

... 349 462

... 1 772.8 684.5 1 772.3 684.3 

Wanblee CDP ------------------------------- 654 ... ... 149 ... ... 5.8 2.2 5.8 2.2 

Wall township--------------------------------- 19 27 25 7 10 11 102.8 39.7 102.1 39.4 Weta township -------------------------------- 13 18 15 10 8 9 130.1 50.2 129.9 50.2 

20 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Jerauld County ---------------------------------- 2 425 2 929 3 310 1 182 1 210 1 246 1 379.6 532.7 1 373.4 530.3 

Alpena town ---------------------------------- 251 288 307 121 121 142 4.3 1.6 4.3 1.6 Alpena township ------------------------------- 108 136 160 43 45 48 86.8 33.5 86.7 33.5 Anina township -------------------------------- 55 76 115 23 27 32 91.1 35.2 91.0 35.1 Blaine township-------------------------------- 86 110 133 45 49 51 92.9 35.9 92.5 35.7 Chery township -------------------------------- 67 91 108 33 32 40 91.0 35.1 91.0 35.1 Crow township -------------------------------- 119 162 180 38 40 37 91.8 35.4 91.7 35.4 Crow Lake township ---------------------------- 61 73 80 27 30 (NA) 91.7 35.4 89.6 34.6 Dale township--------------------------------- 50 87 91 28 30 33 90.5 35.0 90.4 34.9 Franklin township ------------------------------ 81 114 141 39 49 53 91.9 35.5 91.9 35.5 Harmony township ----------------------------- 50 63 69 29 24 32 92.5 35.7 90.4 34.9 Lane town ----------------------------------- 71 83 94 37 39 44 1.2 .5 1.2 .5 Logan township-------------------------------- 21 38 38 12 14 19 92.1 35.6 92.1 35.6 

Marlar township ------------------------------- 46 49 84 23 23 24 93.3 36.0 93.2 36.0 Media township ------------------------------- 63 77 88 27 34 38 89.3 34.5 88.7 34.2 

Pleasant township ------------------------------ 78 100 125 36 40 42 91.8 35.5 91.8 35.4 Viola township -------------------------------- 52 67 73 19 24 24 92.3 35.6 92.2 35.6 Wessington Springs city ------------------------- 1 083 1 203 1 300 569 549 519 4.6 1.8 4.6 1.8 Wessington Springs township --------------------- 83 112 124 33 40 36 90.4 34.9 90.3 34.9 

Jones County †------------------------------- 1 324 1 463 1 882 699 725 741 2 516.8 971.7 2 514.0 970.6 

Buffalo township------------------------------- 42 42 81 24 22 29 92.6 35.8 92.6 35.8 Central Jones unorg.---------------------------- 111 ... ... 46 ... ... 276.1 106.6 275.5 106.4 Draper town ---------------------------------- 123 138 200 74 74 81 1.7 .6 1.7 .6 Draper township ------------------------------- 42 44 77 27 26 29 91.0 35.1 90.9 35.1 Dunkel township ------------------------------- 16 24 25 15 17 14 93.3 36.0 93.3 36.0 Grandview township ---------------------------- 13 19 15 6 10 10 73.4 28.3 73.3 28.3 Kolls township -------------------------------- 19 30 35 12 14 14 92.1 35.6 91.9 35.5 

Morgan township ------------------------------ 29 45 45 18 22 21 92.4 35.7 92.1 35.6 Mullen township ------------------------------- 6 11 6 7 7 6 93.6 36.1 93.6 36.1 Murdo city ----------------------------------- 679 723 865 331 323 312 1.6 .6 1.6 .6 Mussman township ----------------------------- 19 15 11 10 8 12 77.6 30.0 77.6 30.0 

North Jones unorg. † ------------------------ 40 ... ... 27 ... ... 556.1 214.7 555.7 214.5 Okaton township------------------------------- 64 67 101 31 36 36 119.3 46.0 119.3 46.0 Richland township ------------------------------ 5 8 8 5 5 6 61.1 23.6 60.8 23.5 Rich Valley unorg.------------------------------ 4 7 4 2 2 3 61.3 23.7 61.1 23.6 Scovil township-------------------------------- 21 25 38 9 16 17 92.6 35.7 92.4 35.7 South Creek township --------------------------- 22 26 28 11 14 13 92.4 35.7 92.4 35.7 Union township -------------------------------- – 13 5 3 5 8 92.3 35.6 92.3 35.6 Virgil township -------------------------------- 16 9 23 10 10 11 92.8 35.8 92.5 35.7 Westover township ----------------------------- 3 17 11 3 11 8 87.2 33.7 87.2 33.7 Williams Creek township ------------------------- 38 51 70 20 21 21 191.6 74.0 191.4 73.9 Zickrick township ------------------------------ 12 18 21 8 10 6 84.8 32.7 84.8 32.7 

Kingsbury County † -------------------------- 5 925 6 679 7 657 2 765 3 042 2 759 2 237.1 863.7 2 171.5 838.4 

Arlington city (pt.) ----------------------------- 902 988 954 440 431 382 2.9 1.1 2.9 1.1 Badger town---------------------------------- 114 99 122 53 52 51 2.5 1.0 2.5 1.0 Badger township ------------------------------- 240 272 297 99 104 103 152.5 58.9 138.6 53.5 Baker township-------------------------------- 280 276 385 84 118 117 193.3 74.7 184.8 71.4 Bancroft town--------------------------------- 30 41 48 19 32 26 .6 .2 .6 .2 Denver township ------------------------------- 245 r285 370 110 r128 133 171.9 66.4 169.3 65.4 De Smet city † ----------------------------- 1 172 1 237 1 336 555 564 485 2.9 1.1 2.9 1.1 De Smet township ----------------------------- 328 435 410 135 170 134 177.4 68.5 167.6 64.7 Erwin town ----------------------------------- 42 66 106 42 47 50 1.2 .5 1.2 .5 Esmond township ------------------------------ 57 84 159 32 49 52 203.5 78.6 203.5 78.6 Hartland township------------------------------ 183 202 274 78 90 88 162.9 62.9 162.9 62.9 Hetland town --------------------------------- 53 66 81 33 35 42 .3 .1 .3 .1 Iroquois city (pt.) † ------------------------ 271 299 320 126 138 123 1.2 .5 1.2 .5 Iroquois township ------------------------------ 64 73 98 23 31 34 107.2 41.4 107.1 41.3 Lake Preston city † ------------------------ 663 789 812 365 375 325 1.9 .7 1.9 .7 Le Sueur township ----------------------------- 170 145 236 70 84 62 163.7 63.2 163.6 63.2 

Manchester township --------------------------- 136 131 152 50 66 47 144.4 55.7 144.4 55.7 

Mathews township ----------------------------- 153 212 317 76 88 88 232.9 89.9 222.0 85.7 

Oldham city ---------------------------------- 189 222 244 119 122 112 .6 .2 .6 .2 Spirit Lake township ---------------------------- 167 188 230 74 82 76 165.5 63.9 158.1 61.0 Spring Lake township --------------------------- 327 r382 439 111 r154 143 210.7 81.4 206.7 79.8 Whitewood township---------------------------- 139 187 248 71 82 78 137.1 52.9 129.2 49.9 

Lake County † ------------------------------- 10 550 10 724 11 456 5 148 5 082 4 221 1 489.5 575.1 1 458.9 563.3 

Badus township ------------------------------- 146 171 237 56 63 71 91.8 35.4 90.8 35.1 Chester township ------------------------------ 571 522 530 460 404 277 93.0 35.9 86.7 33.5 Clarno township ------------------------------- 190 202 257 52 58 65 93.7 36.2 93.6 36.1 Concord township ------------------------------ 125 153 187 54 61 65 93.9 36.3 93.9 36.3 Farmington township---------------------------- 188 236 283 78 96 92 93.0 35.9 93.0 35.9 Franklin township ------------------------------ 228 244 278 84 86 91 93.4 36.1 93.1 36.0 Herman township ------------------------------ 556 551 516 268 240 207 92.7 35.8 85.2 32.9 

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 21
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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Lake County †mCon.

Lake View township ---------------------------- 468 399 388 510 445 264 83.3 32.2 75.5 29.1 Le Roy township ------------------------------- 239 216 277 76 84 88 93.3 36.0 93.3 36.0 

Madison city †---------------------------- 6 257 6 210 6 315 2 613 2 549 2 082 10.0 3.9 10.0 3.9 

Nunda town ---------------------------------- 45 60 85 28 28 34 2.6 1.0 2.6 1.0 Nunda township ------------------------------- 103 129 174 46 44 71 90.2 34.8 89.5 34.6 Orland township ------------------------------- 135 163 204 52 60 71 93.0 35.9 92.5 35.7 Ramona town --------------------------------- 194 241 227 97 98 85 .7 .3 .7 .3 Rutland township ------------------------------ 213 226 258 80 94 87 93.2 36.0 92.8 35.8 Summit township ------------------------------ 186 214 282 78 83 91 92.3 35.6 90.5 34.9 Wayne township ------------------------------- 124 140 176 48 56 62 92.0 35.5 92.0 35.5 Wentworth township ---------------------------- 213 226 246 291 346 234 92.3 35.6 88.1 34.0 Wentworth village ------------------------------ 181 193 196 87 88 78 .7 .3 .7 .3 Winfred town --------------------------------- 54 81 110 34 45 47 2.0 .8 1.9 .7 Winfred township ------------------------------ 134 147 230 56 54 59 92.4 35.7 92.4 35.7 

Lawrence County †--------------------------- 20 655 18 339 17 453 9 092 7 955 6 156 2 072.9 800.3 2 072.2 800.1 

Central City city † ------------------------- 185 r177 188 67 r71 58 .3 .1 .3 .1 Deadwood city † -------------------------- 1 830 2 035 2 409 896 949 1 047 9.6 3.7 9.6 3.7 Lead city † -------------------------------- 3 632 4 330 5 420 1 654 1 876 1 845 4.9 1.9 4.9 1.9 North Lawrence unorg. -------------------------- 4 741 3 582 2 149 1 922 1 493 686 860.2 332.1 859.8 332.0 

North Spearfish CDP -------------------------- 2 274 ... ... 853 ... ... 11.0 4.2 11.0 4.2 

St. Onge township ----------------------------- 317 257 216 133 137 74 92.7 35.8 92.5 35.7 South Lawrence unorg. -------------------------- 2 093 r1 886 1 721 1 177 r898 690 1 094.1 422.4 1 094.0 422.4 Spearfish city † --------------------------- 6 966 5 251 4 661 2 913 2 227 1 551 9.9 3.8 9.9 3.8 Whitewood city-------------------------------- 891 821 689 330 304 205 1.2 .5 1.2 .5 

Lincoln County † ---------------------------- 15 427 13 942 11 761 5 823 5 348 4 077 1 498.7 578.6 1 497.4 578.1 

Beresford city (pt.) †----------------------- 349 361 319 175 179 134 1.3 .5 1.3 .5 Brooklyn township ----------------------------- 234 259 293 82 104 102 93.4 36.1 93.3 36.0 Canton city † ------------------------------ 2 787 2 886 2 665 1 180 1 194 1 012 7.6 2.9 7.6 2.9 Canton township ------------------------------- 423 441 426 149 141 135 98.9 38.2 98.9 38.2 Dayton township------------------------------- 460 484 473 168 167 129 115.9 44.7 115.8 44.7 Delapre township ------------------------------ 1 419 995 577 477 327 166 106.8 41.2 106.8 41.2 Delaware township ----------------------------- 194 223 287 83 102 101 93.2 36.0 93.2 36.0 Eden township -------------------------------- 165 220 279 82 92 96 90.4 34.9 90.4 34.9 Fairview town --------------------------------- 73 90 72 34 40 37 .3 .1 .3 .1 Fairview township ------------------------------ 145 155 135 49 53 45 46.6 18.0 46.2 17.8 Grant township -------------------------------- 337 391 389 121 133 120 92.7 35.8 92.7 35.8 Harrisburg city † -------------------------- 727 558 338 232 194 111 .9 .4 .9 .4 Highland township------------------------------ 254 289 313 107 110 99 94.7 36.6 94.7 36.6 Hudson town --------------------------------- 332 388 366 156 173 158 .7 .3 .7 .3 La Valley township ----------------------------- 410 443 379 145 159 124 92.6 35.7 92.6 35.7 Lennox city † ------------------------------ 1 767 1 827 1 487 718 735 552 3.0 1.2 3.0 1.2 Lincoln township ------------------------------- 221 230 250 97 110 98 93.5 36.1 93.4 36.1 Lynn township -------------------------------- 290 289 342 110 115 111 92.6 35.7 92.5 35.7 Norway township ------------------------------ 277 305 337 104 115 104 93.2 36.0 93.2 36.0 Perry township -------------------------------- 554 504 411 193 180 132 89.9 34.7 89.9 34.7 Pleasant township ------------------------------ 382 407 493 122 140 144 92.0 35.5 92.0 35.5 Sioux Falls city (pt.) † ----------------------- 1 409 161 – 473 74 – 4.4 1.7 4.4 1.7 Springdale township ---------------------------- 1 061 919 534 364 318 163 92.6 35.8 92.2 35.6 Tea city ------------------------------------- 786 729 302 261 242 95 .9 .3 .9 .3 Worthing town † -------------------------- 371 388 294 141 151 109 .7 .3 .7 .3 

Lyman County † ------------------------------ 3 638 3 864 4 060 1 523 1 579 1 343 4 421.6 1 707.2 4 247.8 1 640.1 

Applegate township ---------------------------- 3 4 7 2 4 5 92.8 35.8 92.7 35.8 Bailey township ------------------------------- 38 53 67 19 18 22 112.6 43.5 112.4 43.4 Black Dog unorg. †-------------------------- 12 ... ... 7 ... ... 90.5 35.0 90.5 34.9 Butte township -------------------------------- 49 63 78 24 22 24 105.8 40.8 105.6 40.8 Dorman township ------------------------------ 17 34 34 8 15 17 84.8 32.7 84.6 32.7 Earling township ------------------------------- 33 50 64 17 17 22 93.0 35.9 92.7 35.8 Fairland township ------------------------------ 28 23 30 12 11 9 92.6 35.8 92.4 35.7 Hilmoe township ------------------------------- 16 37 43 7 12 12 93.0 35.9 92.9 35.9 Hope township -------------------------------- 17 28 39 10 17 8 93.5 36.1 93.4 36.1 Iona township --------------------------------- 107 120 133 50 49 43 356.9 137.8 325.5 125.7 Kennebec town -------------------------------- 284 334 372 147 162 140 2.2 .8 2.2 .8 Kennebec township ----------------------------- 36 26 44 12 10 13 91.0 35.1 90.4 34.9 Liberty township ------------------------------- 21 30 40 9 9 9 92.6 35.8 92.6 35.8 

McClure unorg.-------------------------------- 9 ... ... 5 ... ... 93.2 36.0 93.1 35.9 

Moore township ------------------------------- 28 30 46 13 12 13 93.1 35.9 93.1 35.9 

Morningside township --------------------------- 27 26 48 15 17 18 104.1 40.2 104.0 40.2 

Northeast Lyman unorg. † ------------------- 1 188 1 037 645 371 326 152 1 204.6 465.1 1 099.3 424.5 

Lower Brule CDP ----------------------------- 655 ... ... 182 ... ... .9 .4 .9 .4 

Oacoma town † ---------------------------- 367 289 215 145 118 65 8.3 3.2 4.0 1.5 Oacoma township ------------------------------ 59 56 32 27 17 12 180.1 69.6 154.9 59.8 Pleasant township ------------------------------ 10 17 19 5 6 8 85.4 33.0 85.4 33.0 

22 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Lyman County †mCon.

Pratt township -------------------------------- 14 15 27 7 8 6 66.6 25.7 65.9 25.4 Presho city ----------------------------------- 654 760 922 306 349 330 1.7 .7 1.7 .7 Presho township ------------------------------- 39 76 66 23 24 22 91.8 35.4 91.8 35.4 Reliance town --------------------------------- 169 190 204 84 86 87 3.0 1.1 2.8 1.1 Reliance township ------------------------------ 80 80 50 31 27 20 90.3 34.9 90.0 34.7 Rex township --------------------------------- 42 45 46 18 17 22 93.0 35.9 92.7 35.8 Rose township -------------------------------- 29 48 57 14 19 19 92.7 35.8 92.7 35.8 Rowe township -------------------------------- 12 3 4 5 4 4 92.0 35.5 91.9 35.5 Sioux township -------------------------------- 20 30 37 12 12 14 146.7 56.6 145.8 56.3 South Lyman unorg. † ----------------------- 48 7 22 20 2 5 224.7 86.7 222.7 86.0 Stony Butte township --------------------------- 20 18 37 8 9 7 92.3 35.6 92.3 35.6 Sylvia township-------------------------------- 15 10 17 8 8 11 68.7 26.5 68.0 26.3 Tracy township -------------------------------- 4 10 16 3 7 6 94.5 36.5 94.2 36.4 Vivian township ------------------------------- 143 135 274 79 81 99 93.5 36.1 93.5 36.1 

McCook County---------------------------------- 5 688 6 444 7 246 2 371 2 585 2 439 1 495.0 577.2 1 488.1 574.6 

Benton township ------------------------------- 111 133 196 46 50 69 91.4 35.3 90.8 35.1 Bridgewater city ------------------------------- 533 653 633 265 282 256 2.9 1.1 2.9 1.1 Bridgewater township --------------------------- 173 173 206 57 62 67 90.0 34.7 89.7 34.6 Brookfield township ---------------------------- 141 192 258 57 70 72 94.4 36.4 94.4 36.4 Canistota city --------------------------------- 608 626 636 268 310 249 1.5 .6 1.5 .6 Canistota township ----------------------------- 132 194 216 52 70 70 92.4 35.7 92.4 35.7 Emery township ------------------------------- 108 157 230 43 51 60 93.3 36.0 92.7 35.8 Grant township -------------------------------- 175 201 282 68 84 86 93.6 36.1 93.6 36.1 Greenland township----------------------------- 183 182 218 63 62 66 92.7 35.8 90.1 34.8 Jefferson township ----------------------------- 132 130 195 41 51 59 92.5 35.7 91.7 35.4 

Montrose city --------------------------------- 420 396 377 176 164 134 1.0 .4 1.0 .4 Montrose township ----------------------------- 219 201 271 69 70 73 91.9 35.5 91.9 35.5 

Pearl township -------------------------------- 100 164 187 46 61 65 94.1 36.3 94.1 36.3 Ramsey township ------------------------------ 136 148 221 51 68 69 94.1 36.3 93.4 36.1 Richland township ------------------------------ 199 219 273 62 62 65 93.1 35.9 93.0 35.9 Salem city ----------------------------------- 1 289 1 486 1 391 581 598 486 2.6 1.0 2.6 1.0 Salem township ------------------------------- 182 207 269 64 68 72 91.5 35.3 90.5 34.9 Spencer city ---------------------------------- 317 380 385 162 183 175 .9 .4 .9 .4 Spring Valley township -------------------------- 232 260 321 87 92 96 92.8 35.8 92.8 35.8 Sun Prairie township ---------------------------- 152 159 229 57 65 77 94.6 36.5 94.6 36.5 Union township -------------------------------- 146 183 252 56 62 73 93.7 36.2 93.6 36.2 

McPherson County † ------------------------ 3 228 4 027 5 022 1 566 1 699 1 747 2 983.5 1 151.9 2 944.9 1 137.0 

Carl township --------------------------------- 43 63 86 18 16 21 91.3 35.3 91.3 35.2 Central McPherson unorg. ------------------------ 753 922 991 292 304 305 1 576.6 608.7 1 552.0 599.2 Eureka city † ------------------------------ 1 197 1 360 1 547 644 665 609 2.1 .8 1.9 .7 Hillsview town--------------------------------- 4 9 19 2 2 7 1.7 .6 1.6 .6 Hoffman township------------------------------ 23 45 49 9 13 15 92.6 35.8 91.3 35.2 Leola city ------------------------------------ 521 645 787 300 330 328 1.9 .7 1.9 .7 Long Lake town ------------------------------- 64 117 128 46 67 57 .7 .3 .7 .3 Wachter township ------------------------------ 39 68 83 17 24 28 90.1 34.8 89.3 34.5 Wacker township ------------------------------ 22 29 41 9 10 14 92.7 35.8 89.9 34.7 Weber township ------------------------------- 93 113 127 21 25 28 95.1 36.7 94.7 36.6 West McPherson unorg. ------------------------- 457 634 876 199 235 264 938.1 362.2 929.7 359.0 Wetonka town -------------------------------- 12 22 31 9 8 15 .6 .2 .6 .2 

Marshall County --------------------------------- 4 844 5 404 5 965 2 640 2 765 2 374 2 293.9 885.7 2 172.7 838.9 

Britton city ----------------------------------- 1 394 1 590 1 465 681 689 556 3.7 1.4 3.7 1.4 Buffalo township------------------------------- 111 107 159 136 119 59 93.9 36.3 74.0 28.6 Dayton township------------------------------- 36 48 58 17 20 23 92.7 35.8 91.6 35.4 Dumarce township ----------------------------- 71 71 88 38 33 33 78.9 30.4 71.0 27.4 Eden town ----------------------------------- 97 142 132 68 71 60 .5 .2 .5 .2 Eden township -------------------------------- 110 129 177 43 44 56 92.9 35.9 83.6 32.3 Fort township --------------------------------- 56 73 67 24 23 23 92.8 35.8 77.2 29.8 Hamilton township ----------------------------- 43 65 92 19 24 23 91.7 35.4 80.7 31.2 Hickman township ------------------------------ 83 96 123 37 45 46 92.9 35.9 92.7 35.8 La Belle township ------------------------------ 80 110 157 39 51 61 109.4 42.2 108.0 41.7 Lake township--------------------------------- 129 127 184 337 376 (NA) 93.2 36.0 70.9 27.4 Lake City town -------------------------------- 43 46 44 28 37 25 .6 .2 .6 .2 Langford town -------------------------------- 298 307 328 162 166 147 .7 .3 .7 .3 Lowell township ------------------------------- 81 74 100 31 30 35 94.0 36.3 93.8 36.2 

McKinley township ----------------------------- 57 75 98 33 35 40 93.2 36.0 89.1 34.4 Miller township -------------------------------- 209 229 413 82 87 117 90.1 34.8 88.9 34.3 

Newark township ------------------------------ 85 91 103 29 35 36 92.7 35.8 92.4 35.7 Newport township------------------------------ 96 106 102 39 45 40 93.4 36.1 89.4 34.5 Nordland township ----------------------------- 31 48 65 18 21 27 62.8 24.2 60.7 23.4 Pleasant Valley township------------------------- 143 174 226 62 60 67 93.2 36.0 92.8 35.8 

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 23
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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Marshall CountymCon.

Red Iron Lake township-------------------------- 229 188 142 166 135 104 93.0 35.9 80.5 31.1 Sisseton township ------------------------------ 93 100 152 35 39 52 92.9 35.9 90.4 34.9 Stena township -------------------------------- 142 169 119 42 42 39 93.7 36.2 93.1 35.9 Veblen city ----------------------------------- 321 368 377 172 192 158 .8 .3 .8 .3 Veblen township ------------------------------- 236 243 240 77 88 75 123.5 47.7 123.1 47.5 Victor township-------------------------------- 49 91 96 25 45 41 100.4 38.8 99.7 38.5 Waverly township ------------------------------ 86 94 121 38 36 37 93.5 36.1 93.2 36.0 Weston township ------------------------------ 227 191 215 81 80 75 93.5 36.1 93.1 35.9 White township-------------------------------- 182 206 276 68 79 83 93.1 35.9 92.2 35.6 Wismer township ------------------------------ 26 46 46 13 18 16 46.0 17.8 44.3 17.1 

Meade County †------------------------------ 21 878 20 717 17 020 7 592 7 098 4 556 9 020.1 3 482.7 8 989.5 3 470.8 

Belle Fourche-Cheyenne Valleys unorg.--------------- 5 804 6 451 1 071 1 331 1 576 365 4 481.1 1 730.2 4 464.1 1 723.6 

Ellsworth AFB CDP (pt.) ----------------------- 4 330 4 766 6 207 855 911 930 3.3 1.3 3.3 1.3 

Eagle township -------------------------------- 12 16 15 6 6 5 94.3 36.4 93.9 36.2 Faith city †-------------------------------- 548 576 576 249 260 192 3.2 1.3 3.2 1.3 Howard township ------------------------------ 13 13 16 4 7 5 91.1 35.2 90.5 34.9 Lakeside township------------------------------ 50 55 55 17 24 21 164.2 63.4 164.2 63.4 North Meade unorg. ---------------------------- 447 493 558 188 189 188 2 573.7 993.7 2 564.4 990.1 Smithville township ----------------------------- 3 ... ... 1 ... ... 136.3 52.6 136.3 52.6 Southwest Meade unorg. † ------------------ 9 640 7 861

... 3 423 2 743

... 1 285.1 496.2 1 282.5 495.2 

Blackhawk CDP ------------------------------ 1 995 1 608

... 671 596

... 5.6 2.2 5.6 2.2 

Sturgis city †----------------------------- 5 330 5 184 4 536 2 358 2 262 1 709 6.6 2.6 6.6 2.6 Union township -------------------------------- 15 28 26 5 16 14 91.4 35.3 90.8 35.1 Upper Red Owl township------------------------- 16 40 40 10 15 14 93.2 36.0 93.0 35.9 

Mellette County † --------------------------- 2 137 2 249 2 420 910 868 850 3 392.6 1 309.9 3 384.1 1 306.6 

Bad Nation township---------------------------- 44 35 54 18 16 18 187.3 72.3 187.3 72.3 Blackpipe township ----------------------------- 52 62 85 27 23 27 93.6 36.1 93.3 36.0 Butte township -------------------------------- 2 8 12 1 3 10 95.2 36.7 94.8 36.6 Cedarbutte unorg.------------------------------ 118 120 88 40 34 27 131.1 50.6 130.8 50.5 Central Mellette unorg. † ------------------ 694 618 597 237 207 170 1 152.9 445.1 1 150.9 444.4 Cody township -------------------------------- 43 51 60 24 24 31 190.0 73.4 190.0 73.3 Corn Creek township ---------------------------- 69 83 82 33 23 26 131.0 50.6 130.9 50.5 Fairview township ------------------------------ 27 47 66 17 19 22 96.6 37.3 96.1 37.1 

Mosher township ------------------------------ 27 42 79 23 24 30 93.5 36.1 93.0 35.9 

New Surprise Valley township † ------------- 3 ... ... 4 ... ... 92.4 35.7 92.2 35.6 Norris township-------------------------------- 171 213 213 68 69 60 55.1 21.3 55.0 21.2 Prospect township------------------------------ 14 22 16 5 6 4 223.2 86.2 222.0 85.7 Red Fish township ------------------------------ 32 35 20 12 10 7 112.2 43.3 112.1 43.3 Ring Thunder township -------------------------- 24 17 22 7 6 8 94.1 36.3 93.5 36.1 Riverside township ----------------------------- 24 27 41 17 14 22 144.6 55.8 143.8 55.5 Rocky Ford township---------------------------- 16 10 12 6 5 9 130.5 50.4 130.3 50.3 Rosebud township ------------------------------ 48 48 76 25 23 24 186.0 71.8 185.5 71.6 Running Bird township--------------------------- 28 40 48 16 17 13 93.5 36.1 93.4 36.1 Surprise Valley township ------------------------- 33 47 30 10 17 12 87.9 33.9 87.3 33.7 White River city †--------------------------- 595 561 617 272 248 230 1.3 .5 1.3 .5 Wood town----------------------------------- 73 134 132 48 61 74 .6 .2 .6 .2 

Miner County †------------------------------- 3 272 3 739 4 454 1 474 1 657 1 614 1 481.6 572.0 1 477.3 570.4 

Adams township ------------------------------- 143 176 242 55 63 69 93.3 36.0 93.3 36.0 Beaver township ------------------------------- 78 108 113 31 43 41 93.4 36.1 91.7 35.4 Belleview township ----------------------------- 100 129 152 40 56 57 91.2 35.2 91.2 35.2 Canova town --------------------------------- 172 194 204 83 102 96 .8 .3 .8 .3 Canova township ------------------------------ 102 106 185 44 51 64 92.7 35.8 92.7 35.8 Carthage city --------------------------------- 221 274 362 157 166 159 3.9 1.5 3.8 1.5 Carthage township ----------------------------- 52 61 109 25 33 35 86.5 33.4 85.8 33.1 Clearwater township ---------------------------- 186 220 270 69 71 79 93.2 36.0 93.2 36.0 Clinton township ------------------------------- 132 181 224 66 80 88 93.2 36.0 93.0 35.9 Grafton township ------------------------------ 114 133 143 39 52 53 90.5 34.9 90.5 34.9 Green Valley township -------------------------- 62 93 138 30 41 41 92.9 35.9 92.9 35.9 Henden township------------------------------- 159 158 209 55 67 70 93.1 36.0 93.1 36.0 Howard city †------------------------------ 1 156 1 169 1 175 533 529 434 2.3 .9 2.3 .9 Howard township ------------------------------ 129 126 174 41 46 49 84.9 32.8 84.9 32.8 

Miner township-------------------------------- 78 97 128 37 44 50 93.5 36.1 93.3 36.0 

Redstone township ----------------------------- 45 50 67 24 25 28 90.2 34.8 90.2 34.8 Rock Creek township---------------------------- 127 172 227 51 62 65 93.4 36.1 92.9 35.9 Roswell town --------------------------------- 19 19 32 10 17 18 3.7 1.4 3.7 1.4 Roswell township ------------------------------ 64 88 113 26 34 46 89.5 34.5 88.8 34.3 Vermillion township----------------------------- 105 157 154 46 59 55 93.3 36.0 93.3 36.0 Vilas town ----------------------------------- 28 28 33 12 16 17 6.0 2.3 6.0 2.3 

24 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Minnehaha County † ------------------------- 123 809 109 435 95 209 49 780 42 680 30 386 2 107.6 813.7 2 095.8 809.2 

Baltic city ------------------------------------ 666 679 364 249 252 120 1.4 .5 1.4 .5 Benton township ------------------------------- 630 544 679 200 177 198 91.7 35.4 91.7 35.4 Brandon township ------------------------------ 612 624 1 960 217 200 516 88.2 34.0 88.0 34.0 Brandon city †---------------------------- 3 543 2 589

... 1 143 781

... 7.6 2.9 7.6 2.9 

Buffalo township------------------------------- 238 260 317 86 91 88 92.9 35.9 90.0 34.7 Burk township--------------------------------- 306 339 363 102 93 100 93.3 36.0 93.3 36.0 Clear Lake township ---------------------------- 175 195 258 68 68 68 93.5 36.1 91.9 35.5 Colton city ----------------------------------- 657 757 601 284 297 220 1.8 .7 1.8 .7 Crooks city ----------------------------------- 671 594

... 215 207

... 1.7 .6 1.7 .6 

Dell Rapids city-------------------------------- 2 484 2 389 1 991 955 927 700 4.4 1.7 4.3 1.7 Dell Rapids township---------------------------- 338 463 355 117 135 93 88.7 34.2 88.6 34.2 Edison township ------------------------------- 346 389 352 122 127 103 93.5 36.1 93.4 36.1 Garretson city--------------------------------- 924 963 847 380 357 312 2.7 1.0 2.7 1.0 Grand Meadow township ------------------------ 268 313 311 94 102 93 92.4 35.7 92.1 35.6 Hartford city---------------------------------- 1 262 1 207 800 465 417 260 2.5 1.0 2.5 1.0 Hartford township------------------------------ 542 421 353 173 140 99 90.4 34.9 89.8 34.7 Highland township------------------------------ 164 235 238 64 82 64 61.3 23.7 61.3 23.7 Humboldt town †-------------------------- 468 487 411 188 189 142 1.4 .6 1.4 .6 Humboldt township ----------------------------- 318 309 284 105 101 82 92.2 35.6 90.3 34.9 Logan township-------------------------------- 277 287 405 98 101 104 92.1 35.6 92.1 35.6 Lyons township-------------------------------- 559 569 410 210 199 131 92.8 35.8 92.8 35.8 

Mapleton township ----------------------------- 1 686 1 712 1 553 630 593 457 83.7 32.3 83.6 32.3 

Palisade township ------------------------------ 276 264 201 95 90 67 57.6 22.2 57.6 22.2 Red Rock township ----------------------------- 342 323 254 113 107 79 60.8 23.5 60.8 23.5 Sherman town -------------------------------- 66 100 82 29 41 24 .7 .3 .7 .3 Sioux Falls city (pt.) † ----------------------- 99 405 81 182 72 488 41 095 32 910 23 544 112.3 43.4 112.3 43.3 Split Rock township † ---------------------- 2 137 1 802 879 715 540 240 101.1 39.0 101.0 39.0 Sverdrup township ----------------------------- 614 577 481 218 187 149 93.0 35.9 92.7 35.8 Taopi township -------------------------------- 347 357 385 115 118 106 90.2 34.8 89.8 34.7 Valley Springs city ----------------------------- 739 801 566 282 282 176 2.0 .8 2.0 .8 Valley Springs township ------------------------- 275 313 290 112 106 83 59.8 23.1 59.8 23.1 Wall Lake township----------------------------- 863 844 563 305 282 196 93.1 35.9 91.6 35.4 Wayne township ------------------------------- 1 307 3 953 2 534 435 1 447 714 73.1 28.2 73.1 28.2 Wellington township ---------------------------- 304 311 335 101 105 94 93.9 36.2 92.1 35.6 

Moody County †------------------------------ 6 507 6 692 7 622 2 666 2 729 2 484 1 349.7 521.1 1 346.0 519.7 

Alliance township ------------------------------ 114 141 192 46 52 58 56.4 21.8 56.4 21.8 Blinsmon township ----------------------------- 258 276 339 101 101 102 94.5 36.5 94.5 36.5 Clare township -------------------------------- 179 229 268 73 82 78 92.8 35.8 92.8 35.8 Colman city ---------------------------------- 482 501 456 224 230 180 4.3 1.7 4.3 1.7 Colman township ------------------------------ 235 267 272 88 78 81 88.6 34.2 87.6 33.8 Egan city ------------------------------------ 208 248 281 98 107 73 .9 .3 .9 .3 Egan township -------------------------------- 211 211 266 71 82 76 92.5 35.7 92.5 35.7 Enterprise township----------------------------- 282 316 505 93 92 167 90.9 35.1 90.9 35.1 Flandreau city †--------------------------- 2 311 2 114 2 027 1 010 996 815 4.7 1.8 4.6 1.8 Flandreau township ----------------------------- 367 334 809 141 138 129 90.7 35.0 90.0 34.7 Fremont township ------------------------------ 243 296 271 114 114 96 92.5 35.7 91.2 35.2 Grovena township ------------------------------ 239 223 271 83 80 84 94.8 36.6 94.8 36.6 Jefferson township ----------------------------- 153 181 202 60 75 77 92.8 35.8 92.8 35.8 Lone Rock township ---------------------------- 99 125 159 42 47 54 56.8 21.9 56.8 21.9 Lynn township -------------------------------- 296 320 373 93 101 103 93.6 36.1 93.1 36.0 Riverview township ----------------------------- 190 193 242 71 77 80 92.9 35.9 92.8 35.8 Spring Creek township -------------------------- 146 179 202 52 66 69 91.8 35.5 91.8 35.5 Trent town ----------------------------------- 211 197 177 97 88 47 2.6 1.0 2.6 1.0 Union township -------------------------------- 163 197 138 53 59 45 58.1 22.4 58.1 22.4 Ward town ----------------------------------- 35 43 57 22 27 30 .7 .3 .7 .3 Ward township -------------------------------- 85 101 115 34 37 40 56.6 21.9 56.6 21.9 

Pennington County † ------------------------ 81 343 70 361 59 349 33 741 28 217 20 021 7 211.8 2 784.5 7 190.8 2 776.4 

Ash No. 16 township † --------------------- 22 34 46 19 24 20 92.4 35.7 92.2 35.6 Badlands unorg. ------------------------------- – – –––– 93.0 35.9 93.0 35.9 Box Elder city † ---------------------------- 2 680 3 186 607 1 050 1 142 191 8.8 3.4 8.8 3.4 Castle Butte No. 18 township †--------------- 39 25 57 12 10 16 132.6 51.2 132.3 51.1 Cedar Butte No. 4 township † ---------------- 50 61 67 22 25 24 92.1 35.5 91.8 35.4 Central Pennington unorg. ------------------------ 14 435 12 021

... 5 357 4 164

... 231.2 89.3 231.0 89.2 

Colonial Pine Hills CDP (pt.) -------------------- 576 ... ... 211 ... ... 28.8 11.1 28.8 11.1 Ellsworth AFB CDP (pt.) ----------------------- 2 687 ... ... 1 021 ... ... 1.6 .6 1.6 .6 Rapid Valley CDP ---------------------------- 5 968 3 265

... 2 094 1 220

... 27.3 10.5 27.3 10.5 

Cheyenne No. 21 township † --------------- 8 16 25 10 7 7 139.6 53.9 138.4 53.5 Conata No. 20 township †------------------- 6 13 19 7 6 8 232.2 89.7 231.4 89.3 Crooked Creek No. 25 township †------------ 33 23 34 15 14 14 184.8 71.4 184.1 71.1 Dalzell Canyon unorg.--------------------------- 4 6 20 8 3 8 106.3 41.1 106.2 41.0 East Central Pennington unorg. -------------------- 266 308 308 118 123 101 1 005.4 388.2 1 003.4 387.4 Fairview No. 22 township † ---------------- 22 75 33 9 22 10 90.1 34.8 89.7 34.6 Flat Butte No. 12 township †----------------- 12 11 14 4 4 3 92.7 35.8 92.0 35.5 

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 25
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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Pennington County †mCon.

Hill City city †------------------------------ 650 535 389 324 282 159 2.0 .8 2.0 .8 Huron No. 10 township † ------------------- 52 37 49 17 18 17 92.8 35.8 92.2 35.6 Imlay No. 24 township †-------------------- 14 6 9 5 3 4 193.0 74.5 192.8 74.4 Keystone town -------------------------------- 232 295

... 137 185

... 7.4 2.9 7.4 2.9 

Lake Creek unorg.------------------------------ 52 64 51 20 24 19 93.1 35.9 93.1 35.9 Lake Flat No. 8 township † ------------------ 30 40 48 14 17 18 92.1 35.6 91.0 35.1 Lake Hill No. 5 township †------------------- 17 24 30 8 10 16 91.6 35.4 90.8 35.1 

Mount Rushmore unorg. ------------------------- 4 197 3 369 3 664 1 884 1 388 1 479 592.6 228.8 590.9 228.2 

Colonial Pine Hills CDP (pt.) -------------------- 977 ... ... 329 ... ... 16.6 6.4 16.6 6.4 

New Underwood city †---------------------- 553 517 416 232 207 130 1.2 .5 1.2 .5 Northeast Pennington unorg. ---------------------- 38 57 69 24 27 23 330.8 127.7 329.4 127.2 Owanka No. 13 township †------------------ 50 42 36 20 15 21 93.2 36.0 93.2 36.0 Peno No. 9 township † --------------------- 37 38 57 17 18 18 92.9 35.9 92.5 35.7 Quinn town----------------------------------- 72 80 105 35 40 42 2.5 1.0 2.5 1.0 Quinn No. 1 township †--------------------- 11 9 10 3 3 5 89.8 34.7 89.1 34.4 Rainy Creek No. 19 township † --------------- 33 56 51 19 23 18 94.2 36.4 94.1 36.3 Rapid City city †---------------------------- 54 523 46 492 43 836 22 530 18 713 14 500 91.7 35.4 91.5 35.3 Rapid City East unorg. -------------------------- 887 800

... 354 286

... 719.6 277.9 718.6 277.5 

Scenic No. 7 township † -------------------- 71 108 143 36 48 58 370.1 142.9 369.6 142.7 Shyne No. 27 township † ------------------- 20 11 15 11 9 10 69.9 27.0 69.6 26.9 Sunnyside No. 26 township † --------------- 22 14 13 16 8 9 100.9 38.9 100.7 38.9 Wall town † ------------------------------- 834 770 786 421 423 288 4.6 1.8 4.5 1.7 Wasta town ---------------------------------- 82 99 127 43 49 44 .4 .2 .4 .2 Wasta No. 2 township † -------------------- 13 27 35 7 11 11 92.8 35.8 92.8 35.8 West Pennington unorg. ------------------------- 1 276 1 092 773 933 866 560 1 391.4 537.2 1 386.6 535.4 

Perkins County † ---------------------------- 3 932 4 700 4 769 2 007 2 082 1 720 7 487.3 2 890.9 7 437.9 2 871.8 

Ada township --------------------------------- 27 34 31 13 14 12 92.3 35.7 91.8 35.4 Anderson township ----------------------------- 30 27 18 24 25 21 91.9 35.5 83.7 32.3 Antelope township ----------------------------- 28 34 32 14 13 13 92.6 35.8 92.3 35.6 Barrett township ------------------------------- 16 21 26 9 10 11 93.4 36.0 92.7 35.8 Beck township -------------------------------- 9 16 26 7 10 10 93.1 36.0 92.9 35.9 Bison town ----------------------------------- 451 457 406 237 217 145 2.6 1.0 2.6 1.0 Bison township -------------------------------- 35 37 39 19 18 12 90.5 34.9 90.0 34.8 Brushy township ------------------------------- 9 24 29 7 8 8 92.8 35.8 92.4 35.7 Burdick township------------------------------- 38 58 36 18 22 12 93.6 36.1 93.3 36.0 Cash township -------------------------------- 27 34 37 12 12 12 92.4 35.7 92.2 35.6 Castle Butte township --------------------------- 24 23 24 12 10 10 134.4 51.9 134.3 51.8 Chance township------------------------------- 41 46 35 19 18 17 185.5 71.6 184.5 71.3 Chaudoin township ----------------------------- 12 14 18 7 8 8 93.6 36.1 93.4 36.1 Clark township -------------------------------- 27 38 43 14 16 19 93.3 36.0 92.7 35.8 De Witt township ------------------------------ 54 81 63 31 30 22 147.5 56.9 145.8 56.3 Duck Creek unorg. ----------------------------- 29 42 56 17 18 18 93.4 36.0 93.1 36.0 Duell township -------------------------------- 19 18 22 10 10 8 92.0 35.5 91.7 35.4 East Perkins unorg. †----------------------- 152 111 139 98 44 40 630.8 243.6 614.5 237.3 Englewood township ---------------------------- 8 17 21 4 8 7 168.1 64.9 167.7 64.8 Flat Creek township ---------------------------- 12 172 39 9 68 8 93.0 35.9 92.8 35.8 Foster township ------------------------------- 22 27 24 8 11 11 166.6 64.3 166.3 64.2 Fredlund township ------------------------------ 48 42 47 16 15 15 91.9 35.5 91.6 35.4 Glendo township ------------------------------- 16 26 26 8 7 9 91.6 35.3 91.5 35.3 Grand River township --------------------------- 35 34 41 15 14 14 134.6 52.0 134.2 51.8 Hall township --------------------------------- 19 22 24 7 7 8 92.2 35.6 92.0 35.5 Highland township------------------------------ 9 17 27 4 6 8 93.3 36.0 93.2 36.0 Horse Creek township --------------------------- 48 77 100 26 26 33 134.5 51.9 134.3 51.9 Independence unorg. † -------------------- 30 ... ... 13 ... ... 93.0 35.9 92.5 35.7 Lemmon city ---------------------------------- 1 614 1 871 1 997 813 856 721 2.6 1.0 2.6 1.0 Liberty township ------------------------------- 23 30 25 8 11 9 93.0 35.9 92.7 35.8 Lincoln township ------------------------------- 166 156 169 77 68 51 210.5 81.3 210.3 81.2 Lodgepole township----------------------------- 51 51 63 22 21 19 93.4 36.1 93.3 36.0 Lone Tree township----------------------------- 44 51 39 16 18 12 93.6 36.1 92.5 35.7 

Maltby township------------------------------- 9 25 18 6 10 6 93.3 36.0 93.1 35.9 Marshfield township ---------------------------- 29 30 40 14 10 9 186.0 71.8 185.3 71.5 Martin township ------------------------------- 9 9 3 2 3 2 93.7 36.2 93.6 36.1 

Meadow township------------------------------ 45 60 45 26 28 23 92.8 35.8 92.1 35.6 

Moreau township ------------------------------ 16 7 9 6 6 9 186.5 72.0 186.5 72.0 

Plateau township------------------------------- 21 24 21 9 10 11 93.6 36.1 92.5 35.7 Pleasant Valley township------------------------- 6 20 19 7 9 10 92.0 35.5 91.7 35.4 Rainbow township------------------------------ 34 34 40 17 15 14 93.1 35.9 91.6 35.4 Rockford township ----------------------------- 28 24 30 13 11 10 91.9 35.5 91.7 35.4 Scotch Cap township---------------------------- 41 29 41 18 17 15 93.0 35.9 91.8 35.4 Sidney township ------------------------------- 32 40 47 13 13 12 92.1 35.6 92.1 35.5 South Perkins unorg.---------------------------- 124 165 84 59 59 34 803.6 310.3 802.5 309.9 Southwest Perkins unorg. ------------------------ 25 35 42 15 20 17 278.5 107.5 278.4 107.5 Strool township-------------------------------- 81 99 104 41 43 42 93.2 36.0 91.0 35.1 

26 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Perkins County †mCon.

Trail township --------------------------------- 40 39 32 24 12 11 41.5 16.0 41.5 16.0 Vail township --------------------------------- 14 18 9 6 7 3 92.9 35.9 92.6 35.8 Vickers township------------------------------- 21 21 35 11 8 8 93.4 36.0 93.1 35.9 Viking township ------------------------------- 13 26 29 8 10 9 134.2 51.8 134.0 51.7 Vrooman township ----------------------------- 9 11 14 4 5 4 92.3 35.6 92.1 35.6 Wells township -------------------------------- 17 13

... 8 6

... 91.4 35.3 90.7 35.0 

West Central Perkins unorg. ---------------------- 28 27 36 18 12 15 93.2 36.0 92.8 35.8 West Perkins unorg. ---------------------------- 23 21 29 12 10 13 93.1 35.9 92.4 35.7 White Butte township --------------------------- 38 30 32 21 15 13 41.6 16.1 41.5 16.0 White Hill township ----------------------------- 8 22 14 9 9 5 93.1 36.0 92.9 35.9 Wilson township ------------------------------- 40 42 46 17 17 17 93.4 36.1 93.3 36.0 Wyandotte township ---------------------------- 8 19 21 9 10 8 186.3 71.9 185.7 71.7 

Potter County † ------------------------------ 3 190 3 674 4 449 1 664 1 534 1 496 2 327.0 898.5 2 244.3 866.5 

Central Potter unorg. --------------------------- 319 460

... 137 172

... 681.9 263.3 681.3 263.1 

East Potter unorg.------------------------------ 419 488

... 155 165

... 798.7 308.4 796.8 307.6 

Gettysburg city †-------------------------- 1 510 1 623 1 915 680 724 685 4.8 1.9 4.8 1.9 Hoven town ---------------------------------- 522 615 671 236 237 205 .8 .3 .8 .3 Lebanon town --------------------------------- 115 129 182 59 64 69 1.4 .5 1.4 .5 Tolstoy town † --------------------------- 69 97 99 46 54 47 .5 .2 .5 .2 West Potter unorg. ----------------------------- 236 262

... 351 118

... 839.0 323.9 758.8 293.0 

Roberts County †---------------------------- 9 914 10 911 11 678 4 728 4 768 4 296 2 940.7 1 135.4 2 852.5 1 101.3 

Agency township------------------------------- 315 242 290 99 74 81 93.2 36.0 93.0 35.9 Alto township --------------------------------- 83 88 102 31 37 35 93.5 36.1 90.5 35.0 Becker township ------------------------------- 141 154 197 54 60 53 77.5 29.9 74.0 28.6 Bossko township------------------------------- 82 99 103 40 39 46 93.4 36.0 93.4 36.0 Bryant township ------------------------------- 197 217 203 144 151 76 71.3 27.5 55.7 21.5 Claire City town ------------------------------- 85 87 100 44 42 41 .5 .2 .5 .2 Corona town---------------------------------- 118 126 133 63 69 58 .6 .2 .6 .2 Dry Wood Lake township ------------------------ 124 97 126 44 36 38 93.7 36.2 82.0 31.6 Easter township ------------------------------- 184 198 162 80 72 68 87.9 33.9 86.4 33.4 Enterprise township----------------------------- 120 152 212 52 56 66 93.2 36.0 92.7 35.8 Garfield township ------------------------------ 187 185 236 70 76 86 90.9 35.1 90.6 35.0 Geneseo township------------------------------ 216 266 303 262 261 210 90.8 35.0 87.3 33.7 Goodwill township------------------------------ 713 664 281 208 183 67 93.8 36.2 93.7 36.2 Grant township -------------------------------- 176 190 205 67 60 66 93.7 36.2 92.8 35.8 Harmon township ------------------------------ 230 295 301 101 107 134 169.6 65.5 159.4 61.6 Hart township--------------------------------- 111 126 190 50 49 57 94.2 36.4 93.2 36.0 Lake township--------------------------------- 170 180 242 238 226 219 102.8 39.7 95.4 36.8 Lawrence township ----------------------------- 170 191 144 64 53 44 57.5 22.2 57.5 22.2 Lee township --------------------------------- 136 141 188 49 48 53 73.1 28.2 72.8 28.1 Lien township --------------------------------- 172 179 266 65 78 103 123.8 47.8 122.5 47.3 Lockwood township----------------------------- 185 186 160 260 248 158 66.3 25.6 56.1 21.7 Long Hollow township --------------------------- 273 245 191 94 74 55 93.9 36.3 92.6 35.7 

Minnesota township ---------------------------- 149 203 253 73 74 97 124.8 48.2 122.3 47.2 

New Effington town ---------------------------- 219 261 258 120 134 109 .7 .3 .7 .3 Norway township ------------------------------ 160 178 214 63 70 94 124.8 48.2 124.5 48.1 One Road township----------------------------- 88 103 106 39 36 35 93.3 36.0 89.2 34.4 Ortley town ---------------------------------- 63 80 111 36 49 50 5.8 2.2 5.8 2.2 Ortley township ------------------------------- 88 105 128 36 39 40 87.6 33.8 87.0 33.6 Peever town ---------------------------------- 195 232 202 84 86 64 .4 .1 .4 .1 Rosholt town † --------------------------- 408 446 456 200 205 170 .7 .3 .7 .3 Sisseton city †---------------------------- 2 181 2 789 3 094 1 008 1 122 997 3.9 1.5 3.9 1.5 Sisseton township ------------------------------ 577 324 338 192 100 92 89.3 34.5 89.2 34.4 Springdale township ---------------------------- 130 173 214 52 56 63 90.2 34.8 90.1 34.8 Spring Grove township -------------------------- 150 248 237 54 73 57 94.1 36.3 93.2 36.0 Summit town †----------------------------- 267 290 332 138 148 130 1.0 .4 1.0 .4 Summit township ------------------------------ 52 78 147 27 34 40 85.8 33.1 84.3 32.5 Victor township-------------------------------- 169 268 312 81 98 105 124.0 47.9 121.6 46.9 White Rock town ------------------------------ 7 10 35 6 8 21 4.1 1.6 4.1 1.6 White Rock township---------------------------- 257 308 388 85 90 104 153.9 59.4 150.8 58.2 Wilmot city † ------------------------------ 566 507 518 255 247 214 1.3 .5 1.3 .5 

Sanborn County --------------------------------- 2 833 3 213 3 697 1 326 1 438 1 426 1 476.9 570.2 1 473.8 569.0 

Afton township -------------------------------- 55 83 100 30 39 40 89.3 34.5 89.3 34.5 Artesian town --------------------------------- 217 227 277 119 117 119 1.4 .6 1.4 .6 Benedict township ------------------------------ 49 51 79 23 33 43 92.9 35.9 92.9 35.9 Butler township-------------------------------- 252 228 221 81 76 65 93.5 36.1 93.5 36.1 Diana township-------------------------------- 49 81 102 29 35 43 91.5 35.3 91.5 35.3 Elliott township -------------------------------- 121 151 182 48 58 67 93.0 35.9 93.0 35.9 Floyd township -------------------------------- 95 121 167 48 55 57 89.0 34.4 88.9 34.3 Jackson township ------------------------------ 101 118 127 49 49 47 89.5 34.6 89.5 34.5 Letcher town---------------------------------- 164 221 201 84 100 93 1.7 .6 1.6 .6 Letcher township------------------------------- 185 139 167 72 57 61 91.9 35.5 91.8 35.5 

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 27
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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Sanborn CountymCon.

Logan township-------------------------------- 134 195 247 69 93 96 93.0 35.9 92.9 35.9 Oneida township ------------------------------- 49 57 80 26 29 30 93.0 35.9 92.5 35.7 Ravenna township------------------------------ 61 79 114 35 34 47 92.7 35.8 91.9 35.5 Silver Creek township --------------------------- 108 135 178 49 56 53 93.2 36.0 93.1 36.0 Twin Lake township ---------------------------- 117 141 147 74 75 50 93.3 36.0 92.4 35.7 Union township -------------------------------- 65 96 106 35 42 46 92.7 35.8 92.6 35.8 Warren township------------------------------- 75 80 99 37 36 31 91.2 35.2 91.2 35.2 Woonsocket city ------------------------------- 766 799 852 339 361 353 1.9 .7 1.9 .7 Woonsocket township --------------------------- 170 211 251 79 93 85 92.2 35.6 91.9 35.5 

Shannon County --------------------------------- 9 902 11 323 8 198 2 699 2 666 2 174 5 430.5 2 096.7 5 423.3 2 094.0 

Batesland town-------------------------------- 124 163 135 41 49 43 .2 .1 .2 .1 East Shannon unorg.---------------------------- 4 083 4 652 2 899 1 124 1 131 808 2 286.7 882.9 2 284.1 881.9 

Kyle CDP ---------------------------------- 914 ... ... 216 ... ... 5.0 1.9 5.0 1.9 

Manderson-White Horse Creek CDP (pt.) ----------- 243 ... ... 65 ... ... 2.5 1.0 2.5 1.0 

Porcupine CDP------------------------------- 783 ... ... 175 ... ... 24.5 9.5 24.5 9.5 Wounded Knee CDP--------------------------- 18 ... ... 5 ... ... 1.9 .7 1.9 .7 

West Shannon unorg. --------------------------- 5 695 6 508 5 123 1 534 1 486 1 297 3 143.6 1 213.7 3 139.1 1 212.0 

Manderson-White Horse Creek CDP (pt.) ----------- – ... ... – ... ... .4 .1 .4 .1 

Oglala CDP --------------------------------- 422 ... ... 142 ... ... 36.9 14.3 34.7 13.4 Pine Ridge CDP ------------------------------ 2 596 3 059 2 768 694 741 643 5.2 2.0 5.2 2.0 

Spink County †------------------------------- 7 981 9 201 10 595 3 545 3 799 3 562 3 911.4 1 510.2 3 895.3 1 504.0 

Antelope township ----------------------------- 96 93 119 35 39 37 93.1 35.9 93.1 35.9 Ashton city ----------------------------------- 148 154 137 86 81 76 1.1 .4 1.1 .4 Athol township -------------------------------- 110 137 177 48 53 63 123.8 47.8 123.8 47.8 Belle Plaine township---------------------------- 118 96 136 48 34 34 93.8 36.2 93.7 36.2 Belmont township ------------------------------ 68 98 122 40 43 34 93.1 35.9 93.1 35.9 Benton township ------------------------------- 35 66 94 19 26 28 93.4 36.1 93.4 36.1 Beotia township ------------------------------- 53 66 101 26 29 35 92.0 35.5 92.0 35.5 Brentford town -------------------------------- 69 91 94 32 46 45 .4 .2 .4 .2 Buffalo township------------------------------- 77 89 107 34 37 37 92.8 35.8 92.8 35.8 Capitola township ------------------------------ 227 254 263 51 49 52 93.2 36.0 93.0 35.9 Clifton township ------------------------------- 78 89 140 33 38 48 124.8 48.2 124.8 48.2 Conde city ----------------------------------- 203 259 279 124 142 127 1.5 .6 1.5 .6 Conde township ------------------------------- 32 32 59 15 16 16 91.8 35.4 91.8 35.4 Cornwall township------------------------------ 61 79 82 23 26 28 92.7 35.8 92.0 35.5 Crandon township ------------------------------ 103 104 97 39 41 40 92.7 35.8 92.7 35.8 Doland city ----------------------------------- 306 381 430 158 191 173 1.5 .6 1.5 .6 Exline township-------------------------------- 77 84 91 28 30 32 95.2 36.7 95.0 36.7 Frankfort city --------------------------------- 192 209 192 100 110 97 2.0 .8 2.0 .8 Frankfort township ----------------------------- 64 81 122 26 38 36 91.8 35.4 91.1 35.2 Garfield township ------------------------------ 59 65 92 23 27 25 93.0 35.9 93.0 35.9 Great Bend township---------------------------- 56 71 66 20 22 23 93.2 36.0 93.2 36.0 Groveland township ---------------------------- 84 97 123 29 31 33 93.5 36.1 93.4 36.1 Harmony township ----------------------------- 70 72 77 24 27 27 93.5 36.1 93.5 36.1 Harrison township ------------------------------ 59 61 74 23 27 24 92.8 35.8 92.6 35.8 Jefferson township ----------------------------- 80 89 101 29 36 45 123.6 47.7 123.5 47.7 Lake township--------------------------------- 91 103 134 151 159 153 92.3 35.6 86.2 33.3 La Prairie township ----------------------------- 71 93 139 33 41 41 129.3 49.9 129.3 49.9 Lincoln township ------------------------------- 216 242 272 50 50 52 92.5 35.7 91.7 35.4 Lodi township --------------------------------- 84 102 167 35 37 46 94.9 36.7 94.9 36.7 

Mellette city ---------------------------------- 184 192 199 87 95 77 .7 .3 .7 .3 Mellette township ------------------------------ 178 224 242 68 79 75 194.2 75.0 194.2 75.0 

Northville town -------------------------------- 105 138 119 54 65 61 1.0 .4 1.0 .4 Northville township ----------------------------- 209 279 375 97 103 106 259.0 100.0 258.2 99.7 Olean township -------------------------------- 66 66 74 29 25 26 93.6 36.1 93.6 36.1 Prairie Center township -------------------------- 47 54 83 16 23 23 93.3 36.0 93.3 36.0 Redfield city † ---------------------------- 2 770 3 027 2 943 1 306 1 332 1 148 4.8 1.8 4.6 1.8 Redfield township ------------------------------ 654 864 1 416 149 150 156 92.4 35.7 91.2 35.2 Richfield township ------------------------------ 35 55 68 17 19 22 92.4 35.7 92.3 35.6 Spring township ------------------------------- 31 70 74 13 23 21 92.4 35.7 92.4 35.7 Sumner township ------------------------------ 37 46 82 15 20 22 93.3 36.0 93.2 36.0 Tetonka township ------------------------------ 117 104 111 42 48 47 152.4 58.8 152.3 58.8 Three Rivers township --------------------------- 67 90 120 33 34 38 93.4 36.1 93.4 36.1 Tulare town ---------------------------------- 244 238 211 119 119 97 .7 .3 .7 .3 Tulare township ------------------------------- 55 71 101 28 37 34 92.3 35.7 87.8 33.9 Turton town ---------------------------------- 76 101 121 42 47 48 .9 .4 .9 .4 Turton township ------------------------------- 41 51 73 15 18 23 92.4 35.7 92.4 35.7 Union township -------------------------------- 78 74 96 33 36 31 93.0 35.9 93.0 35.9 

Stanley County ---------------------------------- 2 453 2 533 2 457 1 056 968 815 3 929.2 1 517.1 3 738.3 1 443.4 

Fort Pierre city -------------------------------- 1 854 1 789 1 448 738 665 475 7.0 2.7 6.9 2.6 North Stanley unorg. --------------------------- 268 350 407 151 143 144 1 994.3 770.0 1 830.3 706.7 South Stanley unorg. --------------------------- 331 394 602 167 160 196 1 927.9 744.4 1 901.2 734.1 

28 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
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TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Sully County ------------------------------------ 1 589 1 990 2 362 811 831 783 2 772.4 1 070.4 2 608.0 1 007.0 

Agar town ----------------------------------- 82 139 156 42 57 52 .4 .2 .4 .2 East Sully unorg. ------------------------------ 340 478 750 188 211 237 1 245.5 480.9 1 236.6 477.5 Onida city------------------------------------ 761 851 785 359 350 266 1.6 .6 1.6 .6 West Sully unorg.------------------------------ 406 522 671 222 213 228 1 524.8 588.7 1 369.3 528.7 

Todd County ------------------------------------ 8 352 7 328 6 606 2 572 2 366 1 805 3 602.7 1 391.0 3 595.5 1 388.2 

East Todd unorg. ------------------------------ 2 439 2 255 2 165 833 747 608 1 878.9 725.4 1 874.1 723.6 

Antelope CDP ------------------------------- 744 ... ... 218 ... ... 5.9 2.3 5.9 2.3 White Horse CDP----------------------------- 152 ... ... 32 ... ... 8.3 3.2 8.2 3.2 

Mission city ---------------------------------- 730 748 739 272 273 245 1.5 .6 1.5 .6 

St. Francis town ------------------------------- 815 766 300 237 219 89 .9 .4 .9 .4 West Todd unorg.------------------------------ 4 368 3 559 3 402 1 230 1 127 863 1 721.3 664.6 1 718.9 663.7 

Parmelee CDP ------------------------------- 618 ... ... 151 ... ... 12.1 4.7 12.0 4.6 Rosebud CDP ------------------------------- 1 538 ... ... 466 ... ... 27.1 10.5 27.0 10.4 Spring Creek CDP ---------------------------- 231 ... ... 57 ... ... 21.6 8.4 21.6 8.4 Two Strike CDP------------------------------ 112 ... ... 29 ... ... 6.8 2.6 6.8 2.6 

Tripp County † ------------------------------- 6 924 7 268 8 171 3 023 3 036 2 920 4 189.4 1 617.5 4 179.3 1 613.6 

Banner township ------------------------------- 18 19 26 11 12 14 73.9 28.5 73.9 28.5 Beaver Creek township -------------------------- 24 22 47 14 16 17 54.6 21.1 54.5 21.0 Black township -------------------------------- 150 136 135 59 48 43 92.5 35.7 92.5 35.7 Brunson township ------------------------------ 53 65 97 21 25 31 74.7 28.8 74.6 28.8 Bull Creek township ---------------------------- 43 43 52 18 20 19 75.4 29.1 75.3 29.1 Carter township ------------------------------- 52 65 66 23 22 21 68.5 26.5 68.1 26.3 Colome city----------------------------------- 309 361 375 171 171 173 .7 .3 .7 .3 Colome township ------------------------------ 108 104 132 39 37 41 92.0 35.5 91.9 35.5 Condon township ------------------------------ 47 58 73 20 24 25 93.4 36.1 93.1 36.0 Curlew township ------------------------------- 38 41 52 17 23 21 101.9 39.4 101.9 39.4 Dog Ear township ------------------------------ 62 77 108 29 34 36 92.9 35.9 92.5 35.7 Elliston township ------------------------------- 47 62 74 22 22 28 92.9 35.9 92.5 35.7 Greenwood township---------------------------- 21 29 50 8 17 17 116.4 45.0 115.7 44.7 Holsclaw township ----------------------------- 24 34 52 17 23 23 61.8 23.8 61.8 23.8 Huggins township ------------------------------ 29 43 68 17 29 25 90.3 34.9 90.3 34.9 Ideal township -------------------------------- 208 223 242 59 59 53 93.4 36.1 93.3 36.0 Irwin township -------------------------------- 39 60 57 16 17 20 92.8 35.8 92.5 35.7 Jordan township ------------------------------- 44 50 91 22 32 36 92.6 35.8 92.5 35.7 Keyapaha township----------------------------- 36 43 57 19 19 20 90.4 34.9 90.3 34.9 King township--------------------------------- 41 56 69 19 18 19 93.1 36.0 93.0 35.9 Lake township--------------------------------- 86 89 101 38 35 39 93.2 36.0 93.1 36.0 Lamro township ------------------------------- 589 368 261 164 104 89 89.4 34.5 89.3 34.5 Lincoln township ------------------------------- 55 61 77 24 27 29 93.0 35.9 92.8 35.8 Lone Star township ----------------------------- 23 24 38 8 9 10 93.0 35.9 92.6 35.8 Lone Tree township----------------------------- 44 56 47 21 21 17 92.9 35.8 92.8 35.8 

McNeely township------------------------------ 75 117 101 39 38 37 93.0 35.9 92.9 35.9 

Millboro township ------------------------------ 56 58 96 24 29 30 90.3 34.9 90.3 34.9 

New Witten town ------------------------------ 87 134 102 53 58 52 .7 .3 .7 .3 North Tripp unorg. ----------------------------- 27 34 28 8 12 11 108.2 41.8 107.2 41.4 Pahapesto township ---------------------------- 25 27 49 10 12 20 131.3 50.7 130.4 50.3 Plainview township ----------------------------- 112 83 102 38 26 35 92.5 35.7 92.3 35.6 Pleasant Valley township------------------------- 23 31 33 10 12 12 74.7 28.8 74.6 28.8 Pleasant View township ------------------------- 129 148 137 48 46 51 93.0 35.9 92.9 35.9 Progressive township---------------------------- 30 36 49 11 14 18 58.8 22.7 58.6 22.6 Rames township ------------------------------- 39 57 91 28 38 41 90.4 34.9 90.4 34.9 Rosedale township ----------------------------- 52 76 105 29 31 33 93.1 35.9 92.7 35.8 Roseland township ----------------------------- 51 58 87 28 29 34 93.0 35.9 92.9 35.9 Star Prairie township---------------------------- 51 71 107 29 35 36 93.1 35.9 93.1 35.9 Star Valley township---------------------------- 26 37 42 10 15 15 109.9 42.4 109.0 42.1 Stewart township ------------------------------ 115 127 171 45 43 51 93.3 36.0 93.3 36.0 Sully township -------------------------------- 54 50 74 17 17 23 92.7 35.8 92.3 35.7 Taylor township ------------------------------- 21 21 24 8 10 15 68.4 26.4 68.2 26.3 Valley township ------------------------------- 46 61 79 17 24 27 90.2 34.8 90.2 34.8 Weaver township ------------------------------ 70 76 66 23 31 35 92.6 35.7 92.6 35.7 Willow Creek township -------------------------- 71 62 90 32 35 37 93.3 36.0 92.7 35.8 Wilson township ------------------------------- 135 110 131 45 35 42 92.8 35.8 92.7 35.8 Winner city † ------------------------------ 3 354 3 472 3 789 1 540 1 513 1 328 3.7 1.4 3.7 1.4 Witten township ------------------------------- 31 34 24 17 14 12 73.7 28.5 73.1 28.2 Wortman township ----------------------------- 39 64 88 23 30 32 93.0 35.9 92.9 35.9 Wright township ------------------------------- 15 28 42 15 19 19 68.3 26.4 68.2 26.3 

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 29
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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Turner County † ------------------------------ 8 576 9 255 9 872 3 800 4 023 3 748 1 599.3 617.5 1 597.7 616.9 

Brothersfield township--------------------------- 148 168 198 64 72 66 73.7 28.4 73.7 28.4 Centerville city -------------------------------- 887 892 910 423 428 369 2.1 .8 2.1 .8 Centerville township ---------------------------- 211 212 273 77 98 97 90.9 35.1 90.8 35.1 Chancellor town ------------------------------- 276 257 220 132 136 93 .6 .2 .6 .2 Childstown township ---------------------------- 283 322 333 100 103 110 94.5 36.5 94.5 36.5 Daneville township ----------------------------- 213 230 292 88 100 114 92.5 35.7 92.5 35.7 Davis town ----------------------------------- 87 100 101 45 50 52 1.0 .4 1.0 .4 Dolton town ---------------------------------- 43 47 60 29 31 30 .7 .3 .7 .3 Dolton township ------------------------------- 169 199 241 70 73 76 75.3 29.1 75.3 29.1 Germantown township -------------------------- 326 357 404 120 125 126 91.9 35.5 91.9 35.5 Home township-------------------------------- 279 254 296 94 98 97 72.2 27.9 72.2 27.9 Hurley city ----------------------------------- 372 419 399 192 210 195 1.4 .5 1.4 .5 Hurley township ------------------------------- 152 181 252 70 79 96 91.5 35.3 90.8 35.1 Irene city (pt.) †---------------------------- 253 268 240 112 114 98 .3 .1 .3 .1 

Marion city----------------------------------- 831 830 844 371 370 326 2.2 .9 2.2 .9 Marion township------------------------------- 237 242 280 81 84 88 90.8 35.0 90.8 35.0 Middleton township----------------------------- 248 287 273 87 97 104 91.6 35.4 91.6 35.4 Monroe town --------------------------------- 151 170 134 79 80 69 1.0 .4 1.0 .4 Monroe township ------------------------------ 157 184 225 68 70 77 72.9 28.1 72.9 28.1 

Norway township ------------------------------ 208 212 280 82 87 104 92.7 35.8 92.7 35.8 Parker city ----------------------------------- 984 999 1 005 429 456 400 2.3 .9 2.3 .9 Parker township ------------------------------- 249 326 296 102 113 100 90.6 35.0 90.6 35.0 Rosefield township ----------------------------- 218 266 348 87 96 110 94.4 36.4 94.4 36.4 Salem township ------------------------------- 213 264 376 80 94 116 94.3 36.4 94.3 36.4 Spring Valley township -------------------------- 205 255 334 79 93 112 92.5 35.7 92.5 35.7 Swan Lake township ---------------------------- 208 260 324 178 183 124 92.6 35.8 91.9 35.5 Turner township ------------------------------- 205 242 272 88 102 102 92.2 35.6 92.0 35.5 Viborg city † ------------------------------ 763 812 662 373 381 297 .9 .4 .9 .4 

Union County †------------------------------- 10 189 10 938 9 643 4 286 4 452 3 533 1 209.8 467.1 1 192.4 460.4 

Alcester city ---------------------------------- 843 885 627 409 384 288 .8 .3 .8 .3 Alcester township ------------------------------ 339 352 531 125 136 149 92.2 35.6 92.0 35.5 Beresford city (pt.) †----------------------- 1 500 1 504 1 336 692 677 546 3.3 1.3 3.3 1.3 Big Sioux township ----------------------------- 382 403 751 149 145 277 42.2 16.3 37.3 14.4 Big Springs township---------------------------- 302 331 372 115 122 129 94.9 36.7 94.8 36.6 Brule township -------------------------------- 243 271 277 101 112 112 94.0 36.3 94.0 36.3 Civil Bend township----------------------------- 302 358 336 154 199 102 84.9 32.8 77.3 29.8 Elk Point city---------------------------------- 1 423 1 661 1 372 597 645 489 3.5 1.3 3.5 1.3 Elk Point township------------------------------ 280 338 384 127 154 128 146.0 56.4 143.6 55.5 Emmet township ------------------------------- 278 347 354 107 120 130 93.1 36.0 93.1 36.0 Jefferson city --------------------------------- 527 592 474 220 240 169 .6 .2 .6 .2 Jefferson township ----------------------------- 523 531 445 206 219 154 96.7 37.3 95.0 36.7 North Sioux City city † ----------------------- 2 019 1 992 860 795 775 266 5.4 2.1 5.4 2.1 Prairie township ------------------------------- 218 246 295 85 94 108 89.5 34.6 89.5 34.5 Richland unorg.-------------------------------- 199 227

... 88 90

... 58.0 22.4 57.8 22.3 

Sioux Valley township--------------------------- 275 274 356 108 111 130 109.1 42.1 109.0 42.1 Spink township -------------------------------- 278 328 339 107 117 139 94.0 36.3 94.0 36.3 Virginia township ------------------------------ 258 298 314 101 112 129 101.4 39.1 101.4 39.1 

Walworth County -------------------------------- 6 087 7 011 7 842 2 928 2 965 2 657 1 927.6 744.3 1 833.3 707.8 

Akaska town --------------------------------- 52 49 46 114 38 27 1.8 .7 1.8 .7 East Walworth unorg. --------------------------- 584 705 977 231 266 (NA) 1 030.1 397.7 1 016.2 392.3 Glenham town -------------------------------- 134 169 178 58 65 56 .8 .3 .8 .3 Java city------------------------------------- 161 261 305 125 153 144 1.2 .5 1.2 .5 Lowry town ---------------------------------- 15 22 35 5 8 18 .6 .2 .6 .2 

Mobridge city --------------------------------- 3 768 4 174 4 545 1 779 1 798 1 589 4.6 1.8 4.6 1.8 

Selby city ------------------------------------ 707 884 957 344 365 317 2.2 .8 2.2 .8 West Walworth unorg. -------------------------- 666 747 799 272 272 233 886.3 342.2 805.9 311.2 

Yankton County † --------------------------- 19 252 18 952 19 039 7 571 7 168 5 837 1 379.6 532.7 1 351.0 521.6 

Gayville town --------------------------------- 401 407 269 176 177 111 .5 .2 .5 .2 Gayville township ------------------------------ 171 207 239 77 84 82 84.8 32.8 80.7 31.2 Irene city (pt.) †---------------------------- 2 5 7222 .2 .1 .2 .1 Jamesville township----------------------------- 275 258 331 76 79 90 93.8 36.2 93.7 36.2 Lesterville town-------------------------------- 168 156 181 66 80 74 .5 .2 .5 .2 

Marindahl township----------------------------- 187 220 240 77 86 94 93.0 35.9 92.6 35.7 Mayfield township ----------------------------- 229 266 343 91 99 113 94.9 36.7 94.9 36.6 Mission Hill town ------------------------------ 180 197 161 68 70 55 .8 .3 .8 .3 Mission Hill township --------------------------- 332 341 290 121 117 115 91.2 35.2 91.1 35.2 

Southeast Yankton unorg.------------------------ 694 644 388 284 256 123 42.9 16.6 39.3 15.2 

30 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
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Table 8. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]StateCountyCounty SubdivisionPlace

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Yankton County †mCon.

Turkey Valley township -------------------------- 218 265 334 86 107 125 92.6 35.8 92.6 35.8 Utica town ----------------------------------- 115 100 89 43 37 39 .7 .3 .7 .3 Utica township -------------------------------- 846 867 1 718 125 121 172 93.2 36.0 92.9 35.9 Volin town ----------------------------------- 175 156 157 68 78 73 .5 .2 .5 .2 Volin township -------------------------------- 240 290 344 101 106 105 92.1 35.6 92.1 35.6 Walshtown township ---------------------------- 214 235 281 91 89 98 93.8 36.2 93.8 36.2 West Yankton unorg. --------------------------- 2 102 2 327 1 748 800 858 567 484.2 186.9 464.9 179.5 Yankton city †---------------------------- 12 703 12 011 11 919 5 219 4 722 3 799 19.8 7.6 19.2 7.4 

Ziebach County †---------------------------- 2 220 2 308 2 221 800 781 636 5 105.4 1 971.2 5 082.9 1 962.5 

Dupree city----------------------------------- 484 562 523 203 207 169 1.0 .4 1.0 .4 Dupree unorg.--------------------------------- 154 150

... 51 52

... 219.0 84.6 218.5 84.4 

Eagle Butte city (pt.) †----------------------- 14 ... ... 3 ... ... 1.7 .7 1.7 .7 North Ziebach unorg. --------------------------- 346 442 156 155 161 62 1 826.4 705.2 1 813.6 700.2 South Ziebach unorg. --------------------------- 1 222 1 154

... 388 361

... 3 057.3 1 180.4 3 048.0 1 176.8 

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 31
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 32

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Table 9. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]Place and [In Selected States]

County Subdivision

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Aberdeen city, Brown County----------------------- 24 927 r25 851 26 476 10 689 r10 319 8 509 21.8 8.4 21.7 8.4 Agar town, Sully County -------------------------- 82 139 156 42 57 52 .4 .2 .4 .2 Akaska town, Walworth County--------------------- 52 49 46 114 38 27 1.8 .7 1.8 .7 Albee town, Grant County ------------------------- 15 23 26 11 10 10 .3 .1 .3 .1 Alcester city, Union County ------------------------ 843 885 627 409 384 288 .8 .3 .8 .3 Alexandria city, Hanson County --------------------- 518 588 598 261 259 241 1.5 .6 1.5 .6 Alpena town, Jerauld County ----------------------- 251 288 307 121 121 142 4.3 1.6 4.3 1.6 Altamont town, Deuel County ---------------------- 48 58 54 24 23 25 3.6 1.4 3.6 1.4 Andover town, Day County ------------------------ 106 139 138 69 69 65 .7 .3 .7 .3 Antelope CDP, Todd County ------------------------ 744 ... ... 218 ... ... 5.9 2.3 5.9 2.3 Arlington city ----------------------------------- 908 991 954 442 435 382 4.0 1.6 4.0 1.6 

Brookings County ------------------------------ 6 3 ... 2 4

... 1.2 .5 1.2 .5 

Kingsbury County ------------------------------ 902 988 954 440 431 382 2.9 1.1 2.9 1.1 

Armour city, Douglas County----------------------- 854 819 925 389 393 348 2.5 1.0 2.5 1.0 Artas town, Campbell County ---------------------- 28 43 73 19 26 28 .3 .1 .3 .1 Artesian town, Sanborn County --------------------- 217 227 277 119 117 119 1.4 .6 1.4 .6 Ashton city, Spink County ------------------------- 148 154 137 86 81 76 1.1 .4 1.1 .4 Astoria town, Deuel County------------------------ 155 154 153 79 89 68 .4 .2 .4 .2 Aurora town, Brookings County--------------------- 619 507 237 210 194 82 1.2 .5 1.2 .5 Avon city, Bon Homme County --------------------- 576 576 610 308 298 259 1.7 .6 1.7 .6 Badger town, Kingsbury County--------------------- 114 99 122 53 52 51 2.5 1.0 2.5 1.0 Baltic city, Minnehaha County ---------------------- 666 679 364 249 252 120 1.4 .5 1.4 .5 Bancroft town, Kingsbury County-------------------- 30 41 48 19 32 26 .6 .2 .6 .2 Batesland town, Shannon County-------------------- 124 163 135 41 49 43 .2 .1 .2 .1 Belle Fourche city, Butte County -------------------- 4 335 4 692 4 236 1 973 1 940 1 527 6.7 2.6 6.7 2.6 Belvidere town, Jackson County--------------------- 63 80 96 47 72 50 2.3 .9 2.2 .8 Beresford city ----------------------------------- 1 849 1 865 1 655 867 856 680 4.6 1.8 4.6 1.8 

Lincoln County -------------------------------- 349 361 319 175 179 134 1.3 .5 1.3 .5 Union County --------------------------------- 1 500 1 504 1 336 692 677 546 3.3 1.3 3.3 1.3 

Big Stone City city, Grant County ------------------- 669 672 631 323 325 220 3.6 1.4 3.6 1.4 Bison town, Perkins County ------------------------ 451 457 406 237 217 145 2.6 1.0 2.6 1.0 Blackhawk CDP, Meade County --------------------- 1 995 1 608

... 671 596

... 5.6 2.2 5.6 2.2 

Blunt city, Hughes County ------------------------- 342 424 445 172 190 155 1.3 .5 1.3 .5 Bonesteel city, Gregory County --------------------- 297 358 354 176 170 160 .9 .3 .9 .3 Bowdle city, Edmunds County ---------------------- 589 644 667 289 296 257 1.6 .6 1.6 .6 Box Elder city, Pennington County ------------------- 2 680 3 186 607 1 050 1 142 191 8.8 3.4 8.8 3.4 Bradley town, Clark County ------------------------ 117 135 157 71 76 79 .6 .2 .6 .2 Brandon city, Minnehaha County -------------------- 3 543 2 589

... 1 143 781

... 7.6 2.9 7.6 2.9 

Brandt town, Deuel County ------------------------ 123 129 132 62 64 68 3.2 1.3 3.2 1.3 Brentford town, Spink County ---------------------- 69 91 94 32 46 45 .4 .2 .4 .2 Bridgewater city, McCook County ------------------- 533 653 633 265 282 256 2.9 1.1 2.9 1.1 Bristol city, Day County--------------------------- 419 445 470 208 218 212 1.4 .5 1.4 .5 Britton city, Marshall County----------------------- 1 394 1 590 1 465 681 689 556 3.7 1.4 3.7 1.4 Broadland town, Beadle County--------------------- 40 49 45 23 22 21 2.6 1.0 2.6 1.0 Brookings city, Brookings County-------------------- 16 270 14 951 13 717 6 012 5 162 3 902 27.1 10.5 26.9 10.4 Bruce city, Brookings County ----------------------- 235 254 217 104 98 83 1.0 .4 .9 .4 Bryant city, Hamlin County ------------------------ 374 388 502 212 225 223 1.4 .5 1.4 .5 Buffalo town, Harding County ---------------------- 488 453 393 240 258 182 1.4 .5 1.4 .5 Buffalo Gap town, Custer County ------------------- 173 186 155 78 83 65 .5 .2 .5 .2 Bullhead CDP, Corson County----------------------- 179 ... ... 53 ... ... 6.5 2.5 6.3 2.4 Burke city, Gregory County ------------------------ 756 859 892 392 401 340 1.4 .6 1.4 .6 Bushnell town, Brookings County -------------------- 81 76 65 30 36 31 1.8 .7 1.8 .7 Butler town, Day County -------------------------- 17 22 38 9 16 24 1.9 .7 1.9 .7 Camp Crook town, Harding County ------------------ 146 100 150 55 50 40 .4 .1 .4 .1 Canistota city, McCook County --------------------- 608 626 636 268 310 249 1.5 .6 1.5 .6 Canova town, Miner County ----------------------- 172 194 204 83 102 96 .8 .3 .8 .3 Canton city, Lincoln County ------------------------ 2 787 2 886 2 665 1 180 1 194 1 012 7.6 2.9 7.6 2.9 Carthage city, Miner County ----------------------- 221 274 362 157 166 159 3.9 1.5 3.8 1.5 Castlewood city, Hamlin County--------------------- 549 557 523 233 232 187 2.7 1.1 2.7 1.1 Cavour town, Beadle County ----------------------- 166 117 134 71 52 46 1.1 .4 1.1 .4 Centerville city, Turner County ---------------------- 887 892 910 423 428 369 2.1 .8 2.1 .8 Central City city, Lawrence County------------------- 185 r177 188 67 r71 58 .3 .1 .3 .1 Chamberlain city, Brule County --------------------- 2 347 2 258 2 626 1 024 974 922 8.3 3.2 8.2 3.2 Chancellor town, Turner County --------------------- 276 257 220 132 136 93 .6 .2 .6 .2 Chelsea town, Faulk County------------------------ 33 41 45 14 20 20 .8 .3 .8 .3 Claire City town, Roberts County -------------------- 85 87 100 44 42 41 .5 .2 .5 .2 Claremont town, Brown County --------------------- 135 180 214 73 84 91 .7 .3 .7 .3 Clark city, Clark County--------------------------- 1 292 1 351 1 356 631 647 545 3.3 1.3 3.3 1.3 Clear Lake city, Deuel County ---------------------- 1 247 1 310 1 157 589 562 469 8.3 3.2 7.8 3.0 Colman city, Moody County ----------------------- 482 501 456 224 230 180 4.3 1.7 4.3 1.7 

32 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 33

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Table 9. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]Place and [In Selected States]

County Subdivision

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Colome city, Tripp County ------------------------- 309 361 375 171 171 173 .7 .3 .7 .3 Colonial Pine Hills CDP, Pennington County ------------- 1 553 ... ... 540 ... ... 45.4 17.5 45.4 17.5 Colton city, Minnehaha County --------------------- 657 757 601 284 297 220 1.8 .7 1.8 .7 Columbia city, Brown County----------------------- 133 161 240 72 76 78 4.1 1.6 4.1 1.6 Conde city, Spink County-------------------------- 203 259 279 124 142 127 1.5 .6 1.5 .6 Corona town, Roberts County ---------------------- 118 126 133 63 69 58 .6 .2 .6 .2 Corsica city, Douglas County ----------------------- 619 644 615 259 263 224 1.7 .7 1.7 .7 Cottonwood town, Jackson County ------------------ 12 4 16 6 4 8 2.4 .9 2.4 .9 Cresbard town, Faulk County----------------------- 185 221 224 95 104 101 1.1 .4 1.1 .4 Crooks city, Minnehaha County --------------------- 671 594

... 215 207

... 1.7 .6 1.7 .6 

Custer city, Custer County ------------------------- 1 741 1 830 1 597 792 808 649 3.7 1.4 3.7 1.4 Dallas town, Gregory County----------------------- 142 199 233 74 82 80 1.3 .5 1.3 .5 Dante town, Charles Mix County -------------------- 98 83 88 39 42 44 1.1 .4 1.1 .4 Davis town, Turner County ------------------------ 87 100 101 45 50 52 1.0 .4 1.0 .4 Deadwood city, Lawrence County-------------------- 1 830 2 035 2 409 896 949 1 047 9.6 3.7 9.6 3.7 Dell Rapids city, Minnehaha County ------------------ 2 484 2 389 1 991 955 927 700 4.4 1.7 4.3 1.7 Delmont city, Douglas County ---------------------- 235 290 260 148 154 139 2.0 .8 2.0 .8 De Smet city, Kingsbury County -------------------- 1 172 1 237 1 336 555 564 485 2.9 1.1 2.9 1.1 Dimock town, Hutchinson County-------------------- 157 140 167 65 62 56 .4 .2 .4 .2 Doland city, Spink County ------------------------- 306 381 430 158 191 173 1.5 .6 1.5 .6 Dolton town, Turner County------------------------ 43 47 60 29 31 30 .7 .3 .7 .3 Draper town, Jones County ------------------------ 123 138 200 74 74 81 1.7 .6 1.7 .6 Dupree city, Ziebach County ----------------------- 484 562 523 203 207 169 1.0 .4 1.0 .4 Eagle Butte city --------------------------------- 489 435 530 184 167 162 2.4 .9 2.4 .9 

Dewey County -------------------------------- 475 435 530 181 167 162 .6 .2 .6 .2 Ziebach County-------------------------------- 14 ... ... 3 ... ... 1.7 .7 1.7 .7 

Eden town, Marshall County ----------------------- 97 142 132 68 71 60 .5 .2 .5 .2 Edgemont city, Fall River County -------------------- 906 1 468 1 174 564 685 532 2.6 1.0 2.6 1.0 Egan city, Moody County ------------------------- 208 248 281 98 107 73 .9 .3 .9 .3 Elk Point city, Union County------------------------ 1 423 1 661 1 372 597 645 489 3.5 1.3 3.5 1.3 Elkton city, Brookings County ---------------------- 602 632 541 269 284 231 4.0 1.6 4.0 1.6 Ellsworth AFB CDP ------------------------------- 7 017 4 766 6 207 1 876 911 930 4.9 1.9 4.9 1.9 

Meade County -------------------------------- 4 330 4 766 6 207 855 911 930 3.3 1.3 3.3 1.3 

Pennington County ----------------------------- 2 687 ... ... 1 021 ... ... 1.6 .6 1.6 .6 

Emery city, Hanson County ------------------------ 417 399 452 210 218 198 .9 .4 .9 .4 Erwin town, Kingsbury County ---------------------- 42 66 106 42 47 50 1.2 .5 1.2 .5 Estelline city, Hamlin County ----------------------- 658 719 624 300 307 249 2.5 1.0 2.5 1.0 Ethan town, Davison County ----------------------- 312 351 309 134 135 101 .6 .2 .6 .2 Eureka city, McPherson County --------------------- 1 197 1 360 1 547 644 665 609 2.1 .8 1.9 .7 Fairburn town, Custer County ---------------------- 62 41 50 34 28 22 1.0 .4 1.0 .4 Fairfax town, Gregory County ---------------------- 144 225 199 93 105 95 .8 .3 .8 .3 Fairview town, Lincoln County ---------------------- 73 90 72 34 40 37 .3 .1 .3 .1 Faith city, Meade County-------------------------- 548 576 576 249 260 192 3.2 1.3 3.2 1.3 Farmer town, Hanson County----------------------- 23 27 58 12 17 20 1.3 .5 1.3 .5 Faulkton city, Faulk County ------------------------ 809 981 955 427 449 362 2.7 1.0 2.7 1.0 Flandreau city, Moody County ---------------------- 2 311 2 114 2 027 1 010 996 815 4.7 1.8 4.6 1.8 Florence town, Codington County-------------------- 192 190 175 79 82 66 1.7 .6 1.7 .6 Fort Pierre city, Stanley County --------------------- 1 854 1 789 1 448 738 665 475 7.0 2.7 6.9 2.6 Fort Thompson CDP, Buffalo County ----------------- 1 088 ... ... 275 ... ... 32.5 12.6 26.7 10.3 Frankfort city, Spink County ----------------------- 192 209 192 100 110 97 2.0 .8 2.0 .8 Frederick town, Brown County ---------------------- 241 307 359 140 158 142 .9 .4 .9 .4 Freeman city, Hutchinson County -------------------- 1 293 1 462 1 357 625 641 524 1.7 .7 1.7 .7 Fruitdale town, Butte County ----------------------- 43 88 74 16 28 26 .8 .3 .8 .3 Fulton town, Hanson County ----------------------- 70 108 101 35 44 49 2.2 .9 2.2 .9 Garden City town, Clark County--------------------- 93 104 126 57 53 66 1.0 .4 1.0 .4 Garretson city, Minnehaha County ------------------- 924 963 847 380 357 312 2.7 1.0 2.7 1.0 Gary city, Deuel County--------------------------- 274 354 366 163 169 145 1.8 .7 1.8 .7 Gayville town, Yankton County --------------------- 401 407 269 176 177 111 .5 .2 .5 .2 Geddes city, Charles Mix County -------------------- 280 303 308 161 177 163 1.6 .6 1.6 .6 Gettysburg city, Potter County---------------------- 1 510 1 623 1 915 680 724 685 4.8 1.9 4.8 1.9 Glenham town, Walworth County-------------------- 134 169 178 58 65 56 .8 .3 .8 .3 Goodwin town, Deuel County----------------------- 126 139 114 48 53 41 1.2 .5 1.2 .5 Gregory city, Gregory County ---------------------- 1 384 1 503 1 756 712 721 698 3.5 1.4 3.5 1.4 Grenville town, Day County ------------------------ 81 119 154 50 64 58 .6 .2 .6 .2 Groton city, Brown County ------------------------ 1 196 1 230 1 021 537 551 418 3.6 1.4 3.6 1.4 Harrisburg city, Lincoln County---------------------- 727 558 338 232 194 111 .9 .4 .9 .4 Harrold town, Hughes County ---------------------- 167 196 184 91 99 79 .7 .3 .7 .3 Hartford city, Minnehaha County -------------------- 1 262 1 207 800 465 417 260 2.5 1.0 2.5 1.0 Hayti town, Hamlin County ------------------------ 372 371 393 167 167 147 .7 .3 .7 .3 Hazel town, Hamlin County ------------------------ 103 94 101 46 47 47 .6 .2 .6 .2 Hecla city, Brown County ------------------------- 398 435 407 189 207 166 .9 .3 .9 .3 Henry town, Codington County --------------------- 215 217 182 96 112 96 4.0 1.6 4.0 1.6 

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 33
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 34

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 9. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]Place and [In Selected States]

County Subdivision

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Hermosa town, Custer County ---------------------- 242 251 150 103 86 56 .9 .4 .9 .4 Herreid city, Campbell County ---------------------- 488 570 672 246 255 262 2.5 1.0 2.5 1.0 Herrick town, Gregory County ---------------------- 139 115 126 67 56 58 1.3 .5 1.3 .5 Hetland town, Kingsbury County -------------------- 53 66 81 33 35 42 .3 .1 .3 .1 Highmore city, Hyde County ----------------------- 835 1 055 1 173 455 474 457 4.7 1.8 4.7 1.8 Hill City city, Pennington County -------------------- 650 535 389 324 282 159 2.0 .8 2.0 .8 Hillsview town, McPherson County------------------- 4 9 19 2 2 7 1.7 .6 1.6 .6 Hitchcock town, Beadle County --------------------- 95 132 150 55 71 61 .7 .3 .7 .3 Hosmer city, Edmunds County ---------------------- 310 385 437 167 176 171 2.6 1.0 2.6 1.0 Hot Springs city, Fall River County------------------- 4 325 4 742 4 434 1 872 1 930 1 460 7.4 2.9 7.4 2.9 Hoven town, Potter County ------------------------ 522 615 671 236 237 205 .8 .3 .8 .3 Howard city, Miner County ------------------------ 1 156 1 169 1 175 533 529 434 2.3 .9 2.3 .9 Hudson town, Lincoln County----------------------- 332 388 366 156 173 158 .7 .3 .7 .3 Humboldt town, Minnehaha County ------------------ 468 487 411 188 189 142 1.4 .6 1.4 .6 Hurley city, Turner County ------------------------- 372 419 399 192 210 195 1.4 .5 1.4 .5 Huron city, Beadle County ------------------------- 12 448 13 000 14 299 5 608 5 649 5 049 15.6 6.0 15.4 5.9 Interior town, Jackson County ---------------------- 67 62 81 40 41 32 3.5 1.3 3.5 1.3 Ipswich city, Edmunds County ---------------------- 965 1 153 1 187 434 473 420 3.4 1.3 3.4 1.3 Irene city -------------------------------------- 464 523 461 195 194 163 .7 .3 .7 .3 

Clay County ---------------------------------- 209 250 214 81 78 63 .2 .1 .2 .1 Turner County --------------------------------- 253 268 240 112 114 98 .3 .1 .3 .1 Yankton County ------------------------------- 2 5 7222 .2 .1 .2 .1 

Iroquois city ------------------------------------ 328 348 375 154 162 143 1.4 .5 1.4 .5 

Beadle County--------------------------------- 57 49 55 28 24 20 .2 .1 .2 .1 Kingsbury County ------------------------------ 271 299 320 126 138 123 1.2 .5 1.2 .5 

Isabel city, Dewey County ------------------------- 319 332 394 169 176 150 1.6 .6 1.6 .6 Java city, Walworth County------------------------ 161 261 305 125 153 144 1.2 .5 1.2 .5 Jefferson city, Union County ----------------------- 527 592 474 220 240 169 .6 .2 .6 .2 Kadoka city, Jackson County ----------------------- 736 832 815 365 367 301 6.0 2.3 6.0 2.3 Kennebec town, Lyman County --------------------- 284 334 372 147 162 140 2.2 .8 2.2 .8 Keystone town, Pennington County ------------------ 232 295

... 137 185

... 7.4 2.9 7.4 2.9 

Kimball city, Brule County ------------------------- 743 752 825 352 352 319 8.0 3.1 8.0 3.1 Kranzburg town, Codington County ------------------ 132 136 143 57 49 42 1.8 .7 1.8 .7 Kyle CDP, Shannon County ------------------------ 914 ... ... 216 ... ... 5.0 1.9 5.0 1.9 La Bolt town, Grant County------------------------ 91 94 90 41 43 49 .6 .2 .6 .2 Lake Andes city, Charles Mix County----------------- 846 1 029 948 387 435 345 2.6 1.0 2.6 1.0 Lake City town, Marshall County -------------------- 43 46 44 28 37 25 .6 .2 .6 .2 Lake Norden city, Hamlin County -------------------- 427 417 393 188 182 163 1.7 .7 1.7 .7 Lake Preston city, Kingsbury County ----------------- 663 789 812 365 375 325 1.9 .7 1.9 .7 Lane town, Jerauld County ------------------------ 71 83 94 37 39 44 1.2 .5 1.2 .5 Langford town, Marshall County -------------------- 298 307 328 162 166 147 .7 .3 .7 .3 Lead city, Lawrence County ------------------------ 3 632 4 330 5 420 1 654 1 876 1 845 4.9 1.9 4.9 1.9 Lebanon town, Potter County ---------------------- 115 129 182 59 64 69 1.4 .5 1.4 .5 Lemmon city, Perkins County ----------------------- 1 614 1 871 1 997 813 856 721 2.6 1.0 2.6 1.0 Lennox city, Lincoln County ------------------------ 1 767 1 827 1 487 718 735 552 3.0 1.2 3.0 1.2 Leola city, McPherson County ---------------------- 521 645 787 300 330 328 1.9 .7 1.9 .7 Lesterville town, Yankton County-------------------- 168 156 181 66 80 74 .5 .2 .5 .2 Letcher town, Sanborn County---------------------- 164 221 201 84 100 93 1.7 .6 1.6 .6 Lily town, Day County---------------------------- 26 38 62 19 19 31 1.1 .4 1.1 .4 Little Eagle CDP, Corson County--------------------- 294 ... ... 72 ... ... 3.7 1.4 3.6 1.4 Long Lake town, McPherson County------------------ 64 117 128 46 67 57 .7 .3 .7 .3 Lower Brule CDP, Lyman County -------------------- 655 ... ... 182 ... ... .9 .4 .9 .4 Lowry town, Walworth County --------------------- 15 22 35 5 8 18 .6 .2 .6 .2 

McIntosh city, Corson County ---------------------- 302 418 563 154 174 172 2.5 1.0 2.4 .9 McLaughlin city, Corson County --------------------- 780 754 863 320 317 284 1.1 .4 1.1 .4 Madison city, Lake County ------------------------ 6 257 6 210 6 315 2 613 2 549 2 082 10.0 3.9 10.0 3.9 Manderson-White Horse Creek CDP, Shannon County ----- 243 ... ... 65 ... ... 2.9 1.1 2.9 1.1 Marion city, Turner County ------------------------ 831 830 844 371 370 326 2.2 .9 2.2 .9 Martin city, Bennett County------------------------ 1 151 1 018 1 248 544 480 431 2.3 .9 2.3 .9 Marty CDP, Charles Mix County -------------------- 436 ... ... 92 ... ... 8.3 3.2 8.3 3.2 Marvin town, Grant County------------------------ 38 52 65 27 28 27 2.6 1.0 2.6 1.0 Mellette city, Spink County ------------------------ 184 192 199 87 95 77 .7 .3 .7 .3 Menno city, Hutchinson County --------------------- 768 793 796 372 352 337 1.2 .5 1.2 .5 Midland town, Haakon County---------------------- 233 277 270 103 122 117 .9 .3 .9 .3 Milbank city, Grant County ------------------------ 3 879 4 120 3 727 1 711 1 665 1 281 6.5 2.5 6.3 2.4 Miller city, Hand County -------------------------- 1 678 1 931 2 148 877 889 788 2.5 .9 2.5 .9 

34 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 35

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 9. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]Place and [In Selected States]

County Subdivision

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Mission city, Todd County ------------------------- 730 748 739 272 273 245 1.5 .6 1.5 .6 

Mission Hill town, Yankton County ------------------ 180 197 161 68 70 55 .8 .3 .8 .3 Mitchell city, Davison County----------------------- 13 798 13 916 13 425 6 064 5 847 4 635 26.9 10.4 24.3 9.4 Mobridge city, Walworth County -------------------- 3 768 4 174 4 545 1 779 1 798 1 589 4.6 1.8 4.6 1.8 Monroe town, Turner County----------------------- 151 170 134 79 80 69 1.0 .4 1.0 .4 Montrose city, McCook County --------------------- 420 396 377 176 164 134 1.0 .4 1.0 .4 Morristown town, Corson County ------------------- 64 127 144 49 66 60 .9 .3 .9 .3 Mound City town, Campbell County------------------ 89 111 164 63 62 74 .3 .1 .3 .1 Mount Vernon city, Davison County------------------ 368 402 398 174 170 156 .8 .3 .8 .3 Murdo city, Jones County ------------------------- 679 723 865 331 323 312 1.6 .6 1.6 .6 

Naples town, Clark County ------------------------ 35 45 38 17 17 16 .4 .1 .4 .1 New Effington town, Roberts County ----------------- 219 261 258 120 134 109 .7 .3 .7 .3 Newell city, Butte County ------------------------- 675 638 664 335 309 299 2.6 1.0 2.6 1.0 New Underwood city, Pennington County -------------- 553 517 416 232 207 130 1.2 .5 1.2 .5 New Witten town, Tripp County--------------------- 87 134 102 53 58 52 .7 .3 .7 .3 Nisland town, Butte County------------------------ 174 216 157 80 86 62 .7 .3 .7 .3 North Eagle Butte CDP, Dewey County---------------- 1 423 1 354 1 351 517 414 336 1.8 .7 1.8 .7 North Sioux City city, Union County------------------ 2 019 1 992 860 795 775 266 5.4 2.1 5.4 2.1 North Spearfish CDP, Lawrence County --------------- 2 274 ... ... 853 ... ... 11.0 4.2 11.0 4.2 Northville town, Spink County ---------------------- 105 138 119 54 65 61 1.0 .4 1.0 .4 Nunda town, Lake County ------------------------- 45 60 85 28 28 34 2.6 1.0 2.6 1.0 Oacoma town, Lyman County ---------------------- 367 289 215 145 118 65 8.3 3.2 4.0 1.5 Oelrichs town, Fall River County--------------------- 138 124 94 67 56 42 1.0 .4 1.0 .4 Oglala CDP, Shannon County ----------------------- 422 ... ... 142 ... ... 36.9 14.3 34.7 13.4 Oldham city, Kingsbury County --------------------- 189 222 244 119 122 112 .6 .2 .6 .2 Olivet town, Hutchinson County --------------------- 74 96 103 53 62 65 .4 .2 .4 .2 Onaka town, Faulk County------------------------- 52 70 69 31 37 32 .7 .3 .7 .3 Onida city, Sully County -------------------------- 761 851 785 359 350 266 1.6 .6 1.6 .6 Orient town, Faulk County ------------------------- 59 87 131 45 53 52 .8 .3 .8 .3 Ortley town, Roberts County ----------------------- 63 80 111 36 49 50 5.8 2.2 5.8 2.2 Parker city, Turner County ------------------------- 984 999 1 005 429 456 400 2.3 .9 2.3 .9 Parkston city, Hutchinson County-------------------- 1 572 1 545 1 611 716 722 618 2.3 .9 2.3 .9 Parmelee CDP, Todd County------------------------ 618 ... ... 151 ... ... 12.1 4.7 12.0 4.6 Peever town, Roberts County----------------------- 195 232 202 84 86 64 .4 .1 .4 .1 Philip city, Haakon County------------------------- 1 077 1 088 983 450 444 354 1.5 .6 1.5 .6 Pickstown town, Charles Mix County ----------------- 95 ... ... 49 ... ... 1.7 .6 1.7 .6 Pierpont town, Day County ------------------------ 173 184 241 90 92 95 .7 .3 .7 .3 Pierre city, Hughes County------------------------- 12 906 11 973 9 699 5 390 4 742 3 158 33.8 13.0 33.7 13.0 Pine Ridge CDP, Shannon County -------------------- 2 596 3 059 2 768 694 741 643 5.2 2.0 5.2 2.0 Plankinton city, Aurora County---------------------- 604 644 613 306 307 277 1.7 .7 1.7 .7 Platte city, Charles Mix County --------------------- 1 311 1 334 1 351 600 590 497 2.4 .9 2.4 .9 Pollock town, Campbell County --------------------- 379 355 341 180 175 147 .6 .2 .6 .2 Porcupine CDP, Shannon County--------------------- 783 ... ... 175 ... ... 24.5 9.5 24.5 9.5 Presho city, Lyman County ------------------------ 654 760 922 306 349 330 1.7 .7 1.7 .7 Pringle town, Custer County ----------------------- 96 105 86 51 67 36 .6 .2 .6 .2 Pukwana town, Brule County----------------------- 263 234 208 122 105 94 2.0 .8 2.0 .8 Quinn town, Pennington County --------------------- 72 80 105 35 40 42 2.5 1.0 2.5 1.0 Ramona town, Lake County------------------------ 194 241 227 97 98 85 .7 .3 .7 .3 Rapid City city, Pennington County------------------- 54 523 46 492 43 836 22 530 18 713 14 500 91.7 35.4 91.5 35.3 Rapid Valley CDP, Pennington County----------------- 5 968 3 265

... 2 094 1 220

... 27.3 10.5 27.3 10.5 

Ravinia town, Charles Mix County ------------------- 79 88 109 36 47 44 .6 .2 .6 .2 Raymond town, Clark County ---------------------- 96 106 114 51 55 50 .7 .3 .7 .3 Redfield city, Spink County ------------------------ 2 770 3 027 2 943 1 306 1 332 1 148 4.8 1.8 4.6 1.8 Ree Heights town, Hand County--------------------- 91 88 183 49 54 66 .8 .3 .8 .3 Reliance town, Lyman County ---------------------- 169 190 204 84 86 87 3.0 1.1 2.8 1.1 Revillo town, Grant County ------------------------ 152 158 142 95 87 63 .4 .2 .4 .2 Rockham town, Faulk County----------------------- 48 52 60 22 30 35 1.3 .5 1.3 .5 Roscoe city, Edmunds County ---------------------- 362 370 398 183 185 170 1.3 .5 1.3 .5 Rosebud CDP, Todd County ------------------------ 1 538 ... ... 466 ... ... 27.1 10.5 27.0 10.4 Rosholt town, Roberts County ---------------------- 408 446 456 200 205 170 .7 .3 .7 .3 Roslyn town, Day County ------------------------- 251 261 250 114 118 86 .5 .2 .5 .2 Roswell town, Miner County ----------------------- 19 19 32 10 17 18 3.7 1.4 3.7 1.4 St. Francis town, Todd County---------------------- 815 766 300 237 219 89 .9 .4 .9 .4 St. Lawrence town, Hand County-------------------- 223 223 249 114 112 100 4.0 1.5 4.0 1.5 Salem city, McCook County------------------------ 1 289 1 486 1 391 581 598 486 2.6 1.0 2.6 1.0 Scotland city, Bon Homme County ------------------- 968 1 022 984 496 501 402 2.2 .8 2.2 .8 Selby city, Walworth County ----------------------- 707 884 957 344 365 317 2.2 .8 2.2 .8 Seneca town, Faulk County ------------------------ 81 103 118 45 47 55 1.1 .4 1.1 .4 Sherman town, Minnehaha County------------------- 66 100 82 29 41 24 .7 .3 .7 .3 Sinai town, Brookings County ---------------------- 120 129 147 63 67 63 .9 .4 .9 .4 Sioux Falls city ---------------------------------- 100 814 81 343 72 488 41 568 32 984 23 544 116.7 45.1 116.7 45.1 

Lincoln County -------------------------------- 1 409 161 – 473 74 – 4.4 1.7 4.4 1.7 

Minnehaha County ----------------------------- 99 405 81 182 72 488 41 095 32 910 23 544 112.3 43.4 112.3 43.3 

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 35
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 36

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Table 9. P

o

pulation and

H

ousing

Units, 1970 to 1990; Are

a

M

e

asure

m

ents and

D

ensity: 1990

mCon.

[For information concerning historical counts, see " User Notes." Density is computed using land area. For definitions of terms and meanings of symbols, see text]Place and [In Selected States]

County Subdivision

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Sisseton city, Roberts County ---------------------- 2 181 2 789 3 094 1 008 1 122 997 3.9 1.5 3.9 1.5 South Shore town, Codington County----------------- 260 241 199 115 113 87 3.6 1.4 3.6 1.4 Spearfish city, Lawrence County -------------------- 6 966 5 251 4 661 2 913 2 227 1 551 9.9 3.8 9.9 3.8 Spencer city, McCook County ---------------------- 317 380 385 162 183 175 .9 .4 .9 .4 Spring Creek CDP, Todd County --------------------- 231 ... ... 57 ... ... 21.6 8.4 21.6 8.4 Springfield city, Bon Homme County ----------------- 834 1 377 1 566 382 427 411 1.6 .6 1.6 .6 Stickney town, Aurora County ---------------------- 323 409 421 170 206 181 .6 .3 .6 .3 Stockholm town, Grant County --------------------- 89 95 116 43 48 47 1.2 .4 1.1 .4 Strandburg town, Grant County--------------------- 74 79 98 39 39 43 .2 .1 .2 .1 Stratford town, Brown County---------------------- 85 82 106 43 46 50 .6 .2 .6 .2 Sturgis city, Meade County ------------------------ 5 330 5 184 4 536 2 358 2 262 1 709 6.6 2.6 6.6 2.6 Summit town, Roberts County ---------------------- 267 290 332 138 148 130 1.0 .4 1.0 .4 Tabor town, Bon Homme County -------------------- 403 460 388 194 206 181 .8 .3 .8 .3 Tea city, Lincoln County--------------------------- 786 729 302 261 242 95 .9 .3 .9 .3 Timber Lake city, Dewey County -------------------- 517 660 625 252 257 210 1.1 .4 1.1 .4 Tolstoy town, Potter County ----------------------- 69 97 99 46 54 47 .5 .2 .5 .2 Toronto town, Deuel County ----------------------- 201 236 216 105 117 104 .8 .3 .8 .3 Trent town, Moody County ------------------------ 211 197 177 97 88 47 2.6 1.0 2.6 1.0 Tripp city, Hutchinson County ---------------------- 664 804 851 369 390 355 1.4 .6 1.4 .6 Tulare town, Spink County------------------------- 244 238 211 119 119 97 .7 .3 .7 .3 Turton town, Spink County ------------------------ 76 101 121 42 47 48 .9 .4 .9 .4 Twin Brooks town, Grant County-------------------- 54 87 122 26 29 34 1.0 .4 1.0 .4 Two Strike CDP, Todd County ---------------------- 112 ... ... 29 ... ... 6.8 2.6 6.8 2.6 Tyndall city, Bon Homme County -------------------- 1 201 1 253 1 245 564 570 485 4.1 1.6 4.1 1.6 Utica town, Yankton County ----------------------- 115 100 89 43 37 39 .7 .3 .7 .3 Valley Springs city, Minnehaha County --------------- 739 801 566 282 282 176 2.0 .8 2.0 .8 Veblen city, Marshall County ----------------------- 321 368 377 172 192 158 .8 .3 .8 .3 Verdon town, Brown County ----------------------- 7 7 18 6 7 9 .6 .2 .6 .2 Vermillion city, Clay County------------------------ 10 034 10 136 9 128 3 428 3 423 2 543 8.0 3.1 8.0 3.1 Viborg city, Turner County------------------------- 763 812 662 373 381 297 .9 .4 .9 .4 Vienna town, Clark County ------------------------ 93 90 119 47 60 61 2.2 .8 2.2 .8 Vilas town, Miner County ------------------------- 28 28 33 12 16 17 6.0 2.3 6.0 2.3 Virgil town, Beadle County ------------------------ 33 37 43 19 23 28 2.6 1.0 2.6 1.0 Volga city, Brookings County----------------------- 1 263 1 221 982 503 484 337 1.9 .8 1.9 .8 Volin town, Yankton County ----------------------- 175 156 157 68 78 73 .5 .2 .5 .2 Wagner city, Charles Mix County-------------------- 1 462 1 453 1 655 696 643 576 4.2 1.6 4.2 1.6 Wakonda town, Clay County ----------------------- 329 383 290 150 171 146 1.0 .4 1.0 .4 Wall town, Pennington County ---------------------- 834 770 786 421 423 288 4.6 1.8 4.5 1.7 Wallace town, Codington County -------------------- 83 90 95 52 55 46 .3 .1 .3 .1 Wanblee CDP, Jackson County ---------------------- 654 ... ... 149 ... ... 5.8 2.2 5.8 2.2 Ward town, Moody County ------------------------ 35 43 57 22 27 30 .7 .3 .7 .3 Warner town, Brown County ----------------------- 336 322

... 119 113

... .8 .3 .8 .3 

Wasta town, Pennington County -------------------- 82 99 127 43 49 44 .4 .2 .4 .2 Watertown city, Codington County------------------- 17 592 15 649 13 388 7 631 6 667 4 598 54.5 21.0 34.2 13.2 Waubay city, Day County ------------------------- 647 675 696 341 362 293 3.5 1.4 3.5 1.4 Webster city, Day County ------------------------- 2 017 2 417 2 252 1 018 1 083 835 3.9 1.5 3.9 1.5 Wentworth village, Lake County--------------------- 181 193 196 87 88 78 .7 .3 .7 .3 Wessington city --------------------------------- 265 327 380 145 158 142 1.0 .4 1.0 .4 

Beadle County--------------------------------- 241 304 345 137 150 134 .9 .3 .9 .3 Hand County---------------------------------- 24 23 35 8 8 8 .1 – .1 – 

Wessington Springs city, Jerauld County -------------- 1 083 1 203 1 300 569 549 519 4.6 1.8 4.6 1.8 Westport town, Brown County---------------------- 112 122

... 42 44

... .7 .3 .7 .3 

Wetonka town, McPherson County------------------- 12 22 31 9 8 15 .6 .2 .6 .2 White city, Brookings County----------------------- 536 474 418 201 207 172 1.9 .7 1.9 .7 White Horse CDP, Todd County --------------------- 152 ... ... 32 ... ... 8.3 3.2 8.2 3.2 White Lake city, Aurora County --------------------- 419 414 395 178 182 174 1.0 .4 1.0 .4 White River city, Mellette County-------------------- 595 561 617 272 248 230 1.3 .5 1.3 .5 White Rock town, Roberts County ------------------- 7 10 35 6 8 21 4.1 1.6 4.1 1.6 Whitewood city, Lawrence County ------------------- 891 821 689 330 304 205 1.2 .5 1.2 .5 Willow Lake city, Clark County --------------------- 317 375 353 164 190 154 1.0 .4 1.0 .4 Wilmot city, Roberts County ----------------------- 566 507 518 255 247 214 1.3 .5 1.3 .5 Winfred town, Lake County ------------------------ 54 81 110 34 45 47 2.0 .8 1.9 .7 Winner city, Tripp County ------------------------- 3 354 3 472 3 789 1 540 1 513 1 328 3.7 1.4 3.7 1.4 Wolsey town, Beadle County ----------------------- 442 437 436 193 191 163 5.9 2.3 5.9 2.3 Wood town, Mellette County----------------------- 73 134 132 48 61 74 .6 .2 .6 .2 Woonsocket city, Sanborn County ------------------- 766 799 852 339 361 353 1.9 .7 1.9 .7 Worthing town, Lincoln County --------------------- 371 388 294 141 151 109 .7 .3 .7 .3 Wounded Knee CDP, Shannon County ---------------- 18 ... ... 5 ... ... 1.9 .7 1.9 .7 Yale town, Beadle County ------------------------- 128 136 148 56 59 54 .4 .2 .4 .2 Yankton city, Yankton County ---------------------- 12 703 12 011 11 919 5 219 4 722 3 799 19.8 7.6 19.2 7.4 

36 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 37

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 10. 1990 Population Rank; Population and Housing Units: 1980 and 1990

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]

Place [2,500 or More

Persons]

Population Housing units 1990

population rank 1990 1980 1990 1980

Sioux Falls city ----------------------- 1 100 814 81 343 41 568 32 984

Lincoln County ---------------------- (NA) 1 409 161 473 74

Minnehaha County------------------- (NA) 99 405 81 182 41 095 32 910

Rapid City city, Pennington County -------- 2 54 523 46 492 22 530 18 713

Aberdeen city, Brown County ------------ 3 24 927 r25 851 10 689 r10 319

Watertown city, Codington County -------- 4 17 592 15 649 7 631 6 667

Brookings city, Brookings County --------- 5 16 270 14 951 6 012 5 162

Mitchell city, Davison County ------------ 6 13 798 13 916 6 064 5 847

Pierre city, Hughes County -------------- 7 12 906 11 973 5 390 4 742

Yankton city, Yankton County ----------- 8 12 703 12 011 5 219 4 722

Huron city, Beadle County -------------- 9 12 448 13 000 5 608 5 649

Vermillion city, Clay County ------------- 10 10 034 10 136 3 428 3 423

Ellsworth AFB CDP --------------------- 11 7 017 4 766 1 876 911

Meade County---------------------- (NA) 4 330 4 766 855 911

Pennington County------------------- (NA) 2 687 ... 1 021 ...

Place [2,500 or More

Persons]

Population Housing units 1990

population rank 1990 1980 1990 1980

Spearfish city, Lawrence County ---------- 12 6 966 5 251 2 913 2 227

Madison city, Lake County -------------- 13 6 257 6 210 2 613 2 549

Rapid Valley CDP, Pennington County ------ 14 5 968 3 265 2 094 1 220

Sturgis city, Meade County ------------- 15 5 330 5 184 2 358 2 262

Belle Fourche city, Butte County---------- 16 4 335 4 692 1 973 1 940

Hot Springs city, Fall River County -------- 17 4 325 4 742 1 872 1 930

Milbank city, Grant County ------------- 18 3 879 4 120 1 711 1 665

Mobridge city, Walworth County --------- 19 3 768 4 174 1 779 1 798

Lead city, Lawrence County ------------- 20 3 632 4 330 1 654 1 876

Brandon city, Minnehaha County --------- 21 3 543 2 589 1 143 781

Winner city, Tripp County--------------- 22 3 354 3 472 1 540 1 513

Canton city, Lincoln County ------------- 23 2 787 2 886 1 180 1 194

Redfield city, Spink County-------------- 24 2 770 3 027 1 306 1 332

Box Elder city, Pennington County -------- 25 2 680 3 186 1 050 1 142

Pine Ridge CDP, Shannon County --------- 26 2 596 3 059 694 741

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 37
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 38

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 11. P

o

pulation 1990

and 1980; H

ousing

Units and Land

Are

a: 1990

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]State Urban and Rural and Size of Place

1990 population 1980 population 1990 housing units 

Number of

places

Total population

Percent of

total population Percent distribution Number of

places

Total population

Percent of

total population Percent distribution Total housing

units

Percent of

total housing

units

Percent 

b

The State ---------------------------- 334 696 004 100.0 ... 318 690 768 100.0 ... 292 436 100.0 

Urban----------------------------------- 27 347 903 50.0 100.0 28 320 777 46.4 100.0 142 947 48.9 1

Inside urbanized area ----------------------------- 4 163 986 23.6 47.1 4 138 708 20.1 43.2 67 244 23.0 

Central place---------------------------------- 2 155 337 22.3 44.6 2 127 835 18.5 39.9 64 098 21.9 

Place ofm

1,000,000 or more ------------------------ – ––––– ––––500,000 to 999,999 ----------------------- – ––––– ––––250,000 to 499,999 ----------------------- – ––––– ––––100,000 to 249,999 1 ----------------------- 100 814 14.5 29.0 – – –– 41 568 14.2 50,000 to 99,999 1 ------------------------- 54 523 7.8 15.7 1 81 343 11.8 25.4 22 530 7.7 Less than 50,000 -------------------------- – ––– 1 46 492 6.7 14.5 ––

Urban fringe ---------------------------------- 2 8 649 1.2 2.5 2 10 873 1.6 3.4 3 146 1.1 

Place of 2,500 or more ----------------------- 1 5 968 .9 1.7 1 3 265 .5 1.0 2 094 .7 

100,000 or more -------------------------- – ––––– ––––50,000 to 99,999 ------------------------- – ––––– ––––25,000 to 49,999 ------------------------- – ––––– ––––10,000 to 24,999 ------------------------- – ––––– ––––5,000 to 9,999 1 --------------------------- 5 968 .9 1.7 – – –– 2 094 .7 2,500 to 4,999 --------------------------- – ––– 1 3 265 .5 1.0 ––

Place of less than 2,500 1 ---------------------- 2 019 .3 .6 1 1 992 .3 .6 795 .3 

2,000 to 2,499 1 --------------------------- 2 019 .3 .6 – – –– 795 .3 1,500 to 1,999 --------------------------- – ––– 1 1 992 .3 .6 ––1,000 to 1,499 --------------------------- – ––––– ––––Less than 1,000 --------------------------- – ––––– ––––

Other urban --------------------------------

... 662 .1 .2 ... 5 616 .8 1.8 257 .1 

Outside urbanized area ---------------------------- 23 183 917 26.4 52.9 24 182 069 26.4 56.8 75 703 25.9 

Place ofm

25,000 or more ----------------------------- – ––– 1 25 956 3.8 8.1 ––10,000 to 24,999 8 --------------------------- 120 678 17.3 34.7 7 91 636 13.3 28.6 50 041 17.1 

5,000 to 9,999 4 ----------------------------- 25 570 3.7 7.3 3 16 645 2.4 5.2 9 760 3.3 2,500 to 4,999 11 ----------------------------- 37 669 5.4 10.8 13 47 832 6.9 14.9 15 902 5.4 

Rural ----------------------------------- 307 348 101 50.0 100.0 290 369 991 53.6 100.0 149 489 51.1 1

Place of 1,000 to 2,499 39 -------------------------- 60 479 8.7 17.4 41 62 362 9.0 16.9 26 510 9.1 

2,000 to 2,499 6 ------------------------------- 13 614 2.0 3.9 5 11 213 1.6 3.0 5 868 2.0 

1,500 to 1,999 12 ------------------------------- 20 501 2.9 5.9 13 22 309 3.2 6.0 8 774 3.0 

1,000 to 1,499 21 ------------------------------- 26 364 3.8 7.6 23 28 840 4.2 7.8 11 868 4.1 

Place of less than 1,000 268 -------------------------- 84 181 12.1 24.2 249 77 519 11.2 21.0 38 663 13.2 Other rural -------------------------------------

... 203 441 29.2 58.4 ... 230 110 33.3 62.2 84 316 28.8 

38 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 39

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 12. Urb

an and

Rural P

o

pulation: 1930 to 1990

[For information concerning historical counts, see " User Notes." For definitions of terms and meanings of symbols, see text]Size of Place

1950

1990 1980 1970 1960 Current urban definition Previous urban 

NUMBER OF PLACES

Urban--------------------------------- 27 28 27 26 25 

Place of 2,500 or more --------------------------- 26 27 26 25 25 

1,000,000 or more ---------------------------- – ––––

500,000 to 999,999 --------------------------- – ––––250,000 to 499,999 --------------------------- – ––––100,000 to 249,999 1 --------------------------- ––––50,000 to 99,999 1 ----------------------------- 111125,000 to 49,999 ----------------------------- – 2211

10,000 to 24,999 8 ----------------------------- 75645,000 to 9,999 5 ------------------------------- 35472,500 to 4,999 11 ------------------------------- 14 13 13 12 

Place of less than 2,500 1 -------------------------- 111 – 

Rural --------------------------------- 307 290 285 282 282 

Place of 1,000 to 2,499 39 -------------------------- 41 35 37 34 Place of less than 1,000 268 -------------------------- 249 250 245 248 

Cumulative summary:

Place ofm

1,000,000 or more ---------------------------- – ––––500,000 or more ------------------------------ – ––––250,000 or more ------------------------------ – ––––100,000 or more ------------------------------ 1 ––––50,000 or more ------------------------------- 2 111125,000 or more ------------------------------- 2 3322

10,000 or more ------------------------------- 10 10 8 8 6 

5,000 or more -------------------------------- 15 13 13 12 13 2,500 or more -------------------------------- 26 27 26 25 25 

POPULATION

Urban--------------------------------- 347 903 320 777 296 628 267 180 216 710 

Place of 2,500 or more --------------------------- 345 222 313 169 293 110 265 328 216 157 

1,000,000 or more ---------------------------- – ––––

500,000 to 999,999 --------------------------- – ––––250,000 to 499,999 --------------------------- – ––––100,000 to 249,999 100 814 --------------------------- ––––50,000 to 99,999 54 523 ----------------------------- 81 343 72 488 65 466 52 696 25,000 to 49,999 ----------------------------- – 72 448 70 312 42 399 25 310 

10,000 to 24,999 120 678 ----------------------------- 91 636 66 748 84 531 58 661 5,000 to 9,999 31 538 ------------------------------- 16 645 36 367 27 012 43 130 2,500 to 4,999 37 669 ------------------------------- 51 097 47 195 45 920 36 360 

Place of less than 2,500 2 019 -------------------------- 1 992 860 736 – Other urban ------------------------------------ 662 5 616 2 658 1 116 553 

Rural --------------------------------- 348 101 369 991 368 879 413 334 436 030 

Place of 1,000 to 2,499 60 479 -------------------------- 62 362 53 156 53 641 48 365 Place of less than 1,000 84 181 -------------------------- 77 519 78 560 80 035 85 331 Other rural ------------------------------------- 203 441 230 110 237 163 279 658 302 334 PERCENT OF TOTAL POPULATION

Urban--------------------------------- 50.0 46.4 44.6 39.3 33.2 

Place of 2,500 or more --------------------------- 49.6 45.3 44.0 39.0 33.1 

1,000,000 or more ---------------------------- – ––––

500,000 to 999,999 --------------------------- – ––––250,000 to 499,999 --------------------------- – ––––100,000 to 249,999 14 --------------------------- .5 ––––50,000 to 99,999 7 ----------------------------- .8 11.8 10.9 9.6 8.1 25,000 to 49,999 ----------------------------- – 10.5 10.6 6.2 3.9 

10,000 to 24,999 17 ----------------------------- .3 13.3 10.0 12.4 9.0 5,000 to 9,999 4 ------------------------------- .5 2.4 5.5 4.0 6.6 2,500 to 4,999 5 ------------------------------- .4 7.4 7.1 6.7 5.6 

Place of less than 2,500 -------------------------- .3 .3 .1 .1 – Other urban ------------------------------------ .1 .8 .4 .2 .1 

Rural --------------------------------- 50.0 53.6 55.4 60.7 66.8 

Place of 1,000 to 2,499 8 -------------------------- .7 9.0 8.0 7.9 7.4 Place of less than 1,000 12 -------------------------- .1 11.2 11.8 11.8 13.1 Other rural ------------------------------------- 29.2 33.3 35.6 41.1 46.3 

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 39
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 40

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 13. P

o

pulation Insid

e

and

Outsid

e

M

etro

p

olitan Are

a

b

y

Urb

an and

Rural and

Size

of Place: 1990

[Portions of certain cities may be classified as rural (see " Extended City" in Appendix A). Place partly outside a metropolitan area is counted where larger part of population is located; population, however, is tabulated where located. StateInside Metropolitan AreaOutside Metropolitan Area

In place

Total Incorporated place

Total Central city of metropolitan area Other

T

Total population

Number of

places Population

Number of

places Population

Number of

places Population

Number of

places Population

Number of

places 

THE STATE

Total-------------------------------- 696 004 334 491 901 310 459 994 2 153 928 308 306 066 24 

Urban----------------------------------- 347 903 27 347 241 24 331 660 2 153 928 22 177 732 3 

Inside urbanized area ----------------------------- 163 986 4 163 324 3 157 356 2 153 928 1 3 428 1 

Central place---------------------------------- 155 337 2 155 337 2 155 337 2 153 928 – 1 409 –

Place ofm

1,000,000 or more ------------------------ – –––––––––500,000 to 999,999 ----------------------- – –––––––––250,000 to 499,999 ----------------------- – –––––––––100,000 to 249,999 100 814 ----------------------- 1 100 814 1 100 814 1 99 405 – 1 409 –50,000 to 99,999 54 523 ------------------------- 1 54 523 1 54 523 1 54 523 –––Less than 50,000 -------------------------- – –––––––––

Urban fringe ---------------------------------- 8 649 2 7 987 1 2 019 – – 1 2 019 1 

Place of 2,500 or more ----------------------- 5 968 1 5 968 –––––– 1 

100,000 or more -------------------------- – –––––––––50,000 to 99,999 ------------------------- – –––––––––25,000 to 49,999 ------------------------- – –––––––––10,000 to 24,999 ------------------------- – –––––––––5,000 to 9,999 5 968 --------------------------- 1 5 968 –––––– 1 2,500 to 4,999 --------------------------- – –––––––––

Place of less than 2,500 2 019 ---------------------- 1 2 019 1 2 019 – – 1 2 019 –

2,000 to 2,499 2 019 --------------------------- 1 2 019 1 2 019 – – 1 2 019 –1,500 to 1,999 --------------------------- – –––––––––1,000 to 1,499 --------------------------- – –––––––––Less than 1,000 --------------------------- – –––––––––

Other urban -------------------------------- 662 ...........................

Outside urbanized area ---------------------------- 183 917 23 183 917 21 174 304 – – 21 174 304 2 

Place ofm

25,000 or more ----------------------------- – –––––––––10,000 to 24,999 120 678 --------------------------- 8 120 678 8 120 678 – – 8 120 678 –5,000 to 9,999 25 570 ----------------------------- 4 25 570 3 18 553 – – 3 18 553 1 2,500 to 4,999 37 669 ----------------------------- 11 37 669 10 35 073 – – 10 35 073 1 

Rural ----------------------------------- 348 101 307 144 660 286 128 334 – – 286 128 334 21 

Place of 1,000 to 2,499 60 479 -------------------------- 39 60 479 33 50 608 – – 33 50 608 6 

2,000 to 2,499 13 614 ------------------------------- 6 13 614 5 11 340 – – 5 11 340 1 1,500 to 1,999 20 501 ------------------------------- 12 20 501 9 15 415 – – 9 15 415 3 1,000 to 1,499 26 364 ------------------------------- 21 26 364 19 23 853 – – 19 23 853 2 

Place of less than 1,000 84 181 -------------------------- 268 84 181 253 77 726 – – 253 77 726 15 Other rural ------------------------------------- 203 441

... – ... – ... – ... – ...

INSIDE METROPOLITAN AREA

Total-------------------------------- 205 152 21 180 719 19 170 511 2 153 928 17 16 583 2 

Urban----------------------------------- 169 468 5 168 806 4 160 151 2 153 928 2 6 223 1 

Inside urbanized area ----------------------------- 160 558 3 159 896 2 153 928 2 153 928 – – 1 

Central place---------------------------------- 153 928 2 153 928 2 153 928 2 153 928 –––

Place ofm

1,000,000 or more ------------------------ – –––––––––500,000 to 999,999 ----------------------- – –––––––––250,000 to 499,999 ----------------------- – –––––––––100,000 to 249,999 99 405 ----------------------- 1 99 405 1 99 405 1 99 405 –––50,000 to 99,999 54 523 ------------------------- 1 54 523 1 54 523 1 54 523 –––Less than 50,000 -------------------------- – –––––––––

Urban fringe ---------------------------------- 6 630 1 5 968 –––––– 1 

Place of 2,500 or more ----------------------- 5 968 1 5 968 –––––– 1 

100,000 or more -------------------------- – –––––––––50,000 to 99,999 ------------------------- – –––––––––25,000 to 49,999 ------------------------- – –––––––––10,000 to 24,999 ------------------------- – –––––––––5,000 to 9,999 5 968 --------------------------- 1 5 968 –––––– 1 2,500 to 4,999 --------------------------- – –––––––––

Place of less than 2,500 ---------------------- – –––––––––

2,000 to 2,499 --------------------------- – –––––––––1,500 to 1,999 --------------------------- – –––––––––1,000 to 1,499 --------------------------- – –––––––––Less than 1,000 --------------------------- – –––––––––

Other urban -------------------------------- 662 ...........................

40 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 41

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 13. P

o

pulation Insid

e

and

Outsid

e

M

etro

p

olitan Are

a

b

y

Urb

an and

Rural and

Size

of Place: 1990

mCon.

[Portions of certain cities may be classified as rural (see " Extended City" in Appendix A). Place partly outside a metropolitan area is counted where larger part of population is located; population, however, is tabulated where located. StateInside Metropolitan AreaOutside Metropolitan Area

In place

Total Incorporated place

Total Central city of metropolitan area Other

T

Total population

Number of

places Population

Number of

places Population

Number of

places Population

Number of

places Population

Number of

places 

INSIDE METROPOLITAN AREAmCon.Outside urbanized area ---------------------------- 8 910 2 8 910 2 6 223 – – 2 6 223 – 

Place ofm

25,000 or more ----------------------------- – –––––––––10,000 to 24,999 --------------------------- – –––––––––5,000 to 9,999 2 687 ----------------------------- – 2 687 ––––––– 2,500 to 4,999 6 223 ----------------------------- 2 6 223 2 6 223 – – 2 6 223 –

Rural ----------------------------------- 35 684 16 11 913 15 10 360 – – 15 10 360 1 

Place of 1,000 to 2,499 5 299 -------------------------- 3 5 299 2 3 746 – – 2 3 746 1 

2,000 to 2,499 2 484 ------------------------------- 1 2 484 1 2 484 – – 1 2 484 –1,500 to 1,999 1 553 ------------------------------- 1 1 553 –––––– 1 1,000 to 1,499 1 262 ------------------------------- 1 1 262 1 1 262 – – 1 1 262 –

Place of less than 1,000 6 614 -------------------------- 13 6 614 13 6 614 – – 13 6 614 –Other rural ------------------------------------- 23 771

... – ... – ... – ... – ...

OUTSIDE METROPOLITAN AREA

Total-------------------------------- 490 852 313 311 182 291 289 483 ... ... 291 289 483 22 

Urban----------------------------------- 178 435 22 178 435 20 171 509 ... ... 20 171 509 2 

Inside urbanized area ----------------------------- 3 428 1 3 428 1 3 428 ... ... 1 3 428 – 

Central place---------------------------------- 1 409 – 1 409 – 1 409 ... ... – 1 409 – 

Place ofm

1,000,000 or more ------------------------ – –––– ... ... –––500,000 to 999,999 ----------------------- – –––– ... ... –––250,000 to 499,999 ----------------------- – –––– ... ... –––100,000 to 249,999 1 409 ----------------------- – 1 409 – 1 409 ... ... – 1 409 – 50,000 to 99,999 ------------------------- – –––– ... ... –––Less than 50,000 -------------------------- – –––– ... ... –––

Urban fringe ---------------------------------- 2 019 1 2 019 1 2 019 ... ... 1 2 019 – 

Place of 2,500 or more ----------------------- – –––– ... ... –––

100,000 or more -------------------------- – –––– ... ... –––50,000 to 99,999 ------------------------- – –––– ... ... –––25,000 to 49,999 ------------------------- – –––– ... ... –––10,000 to 24,999 ------------------------- – –––– ... ... –––5,000 to 9,999 --------------------------- – –––– ... ... –––2,500 to 4,999 --------------------------- – –––– ... ... –––

Place of less than 2,500 2 019 ---------------------- 1 2 019 1 2 019 ... ... 1 2 019 – 

2,000 to 2,499 2 019 --------------------------- 1 2 019 1 2 019 ... ... 1 2 019 – 1,500 to 1,999 --------------------------- – –––– ... ... –––1,000 to 1,499 --------------------------- – –––– ... ... –––Less than 1,000 --------------------------- – –––– ... ... –––

Other urban -------------------------------- – ...........................

Outside urbanized area ---------------------------- 175 007 21 175 007 19 168 081 ... ... 19 168 081 2 

Place ofm

25,000 or more ----------------------------- – –––– ... ... –––10,000 to 24,999 120 678 --------------------------- 8 120 678 8 120 678 ... ... 8 120 678 – 5,000 to 9,999 22 883 ----------------------------- 4 22 883 3 18 553 ... ... 3 18 553 1 2,500 to 4,999 31 446 ----------------------------- 9 31 446 8 28 850 ... ... 8 28 850 1 

Rural ----------------------------------- 312 417 291 132 747 271 117 974 ... ... 271 117 974 20 

Place of 1,000 to 2,499 55 180 -------------------------- 36 55 180 31 46 862 ... ... 31 46 862 5 

2,000 to 2,499 11 130 ------------------------------- 5 11 130 4 8 856 ... ... 4 8 856 1 1,500 to 1,999 18 948 ------------------------------- 11 18 948 9 15 415 ... ... 9 15 415 2 1,000 to 1,499 25 102 ------------------------------- 20 25 102 18 22 591 ... ... 18 22 591 2 

Place of less than 1,000 77 567 -------------------------- 255 77 567 240 71 112 ... ... 240 71 112 15 Other rural ------------------------------------- 179 670

... – ... – ......... – ...

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 41
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 42

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 14. H

ousing

Units Insid

e

and

Outsid

e

M

etro

p

olitan Are

a

b

y

Urb

an and

Rural and

Size

of Place: 1990

[Portions of certain cities may be classified as rural (see " Extended City" in Appendix A). Place partly outside a metropolitan area is counted where larger part of population is located; housing units, however, are tabulated where locatStateInside Metropolitan AreaOutside Metropolitan Area

In place

Total Incorporated place

Total Central city of metropolitan area Other

T

All housing

units

Number of

places Housing units

Number of

places Housing units

Number of

places Housing units

Number of

places Housing units

Number of

places 

THE STATE

Total-------------------------------- 292 436 334 207 863 310 198 239 2 63 625 308 134 614 24 

Urban----------------------------------- 142 947 27 142 690 24 138 026 2 63 625 22 74 401 3 

Inside urbanized area ----------------------------- 67 244 4 66 987 3 64 893 2 63 625 1 1 268 1 

Central place---------------------------------- 64 098 2 64 098 2 64 098 2 63 625 – 473 –

Place ofm

1,000,000 or more ------------------------ – –––––––––500,000 to 999,999 ----------------------- – –––––––––250,000 to 499,999 ----------------------- – –––––––––100,000 to 249,999 41 568 ----------------------- 1 41 568 1 41 568 1 41 095 – 473 –50,000 to 99,999 22 530 ------------------------- 1 22 530 1 22 530 1 22 530 –––Less than 50,000 -------------------------- – –––––––––

Urban fringe ---------------------------------- 3 146 2 2 889 1 795 – – 1 795 1 

Place of 2,500 or more ----------------------- 2 094 1 2 094 –––––– 1 

100,000 or more -------------------------- – –––––––––50,000 to 99,999 ------------------------- – –––––––––25,000 to 49,999 ------------------------- – –––––––––10,000 to 24,999 ------------------------- – –––––––––5,000 to 9,999 2 094 --------------------------- 1 2 094 –––––– 1 2,500 to 4,999 --------------------------- – –––––––––

Place of less than 2,500 795 ---------------------- 1 795 1 795 – – 1 795 –

2,000 to 2,499 795 --------------------------- 1 795 1 795 – – 1 795 –1,500 to 1,999 --------------------------- – –––––––––1,000 to 1,499 --------------------------- – –––––––––Less than 1,000 --------------------------- – –––––––––

Other urban -------------------------------- 257 ...........................

Outside urbanized area ---------------------------- 75 703 23 75 703 21 73 133 – – 21 73 133 2 

Place ofm

25,000 or more ----------------------------- – –––––––––10,000 to 24,999 50 041 --------------------------- 8 50 041 8 50 041 – – 8 50 041 –5,000 to 9,999 9 760 ----------------------------- 4 9 760 3 7 884 – – 3 7 884 1 2,500 to 4,999 15 902 ----------------------------- 11 15 902 10 15 208 – – 10 15 208 1 

Rural ----------------------------------- 149 489 307 65 173 286 60 213 – – 286 60 213 21 

Place of 1,000 to 2,499 26 510 -------------------------- 39 26 510 33 23 188 – – 33 23 188 6 

2,000 to 2,499 5 868 ------------------------------- 6 5 868 5 5 015 – – 5 5 015 1 1,500 to 1,999 8 774 ------------------------------- 12 8 774 9 7 097 – – 9 7 097 3 1,000 to 1,499 11 868 ------------------------------- 21 11 868 19 11 076 – – 19 11 076 2 

Place of less than 1,000 38 663 -------------------------- 268 38 663 253 37 025 – – 253 37 025 15 Other rural ------------------------------------- 84 316

... – ... – ... – ... – ...

INSIDE METROPOLITAN AREA

Total-------------------------------- 83 521 21 73 712 19 70 057 2 63 625 17 6 432 2 

Urban----------------------------------- 69 190 5 68 933 4 65 818 2 63 625 2 2 193 1 

Inside urbanized area ----------------------------- 65 976 3 65 719 2 63 625 2 63 625 – – 1 

Central place---------------------------------- 63 625 2 63 625 2 63 625 2 63 625 –––

Place ofm

1,000,000 or more ------------------------ – –––––––––500,000 to 999,999 ----------------------- – –––––––––250,000 to 499,999 ----------------------- – –––––––––100,000 to 249,999 41 095 ----------------------- 1 41 095 1 41 095 1 41 095 –––50,000 to 99,999 22 530 ------------------------- 1 22 530 1 22 530 1 22 530 –––Less than 50,000 -------------------------- – –––––––––

Urban fringe ---------------------------------- 2 351 1 2 094 –––––– 1 

Place of 2,500 or more ----------------------- 2 094 1 2 094 –––––– 1 

100,000 or more -------------------------- – –––––––––50,000 to 99,999 ------------------------- – –––––––––25,000 to 49,999 ------------------------- – –––––––––10,000 to 24,999 ------------------------- – –––––––––5,000 to 9,999 2 094 --------------------------- 1 2 094 –––––– 1 2,500 to 4,999 --------------------------- – –––––––––

Place of less than 2,500 ---------------------- – –––––––––

2,000 to 2,499 --------------------------- – –––––––––1,500 to 1,999 --------------------------- – –––––––––1,000 to 1,499 --------------------------- – –––––––––Less than 1,000 --------------------------- – –––––––––

Other urban -------------------------------- 257 ...........................

42 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 43

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 14. H

ousing

Units Insid

e

and

Outsid

e

M

etro

p

olitan Are

a

b

y

Urb

an and

Rural and

Size

of Place: 1990

mCon.

[Portions of certain cities may be classified as rural (see " Extended City" in Appendix A). Place partly outside a metropolitan area is counted where larger part of population is located; housing units, however, are tabulated where locatStateInside Metropolitan AreaOutside Metropolitan Area

In place

Total Incorporated place

Total Central city of metropolitan area Other

T

All housing

units

Number of

places Housing units

Number of

places Housing units

Number of

places Housing units

Number of

places Housing units

Number of

places 

INSIDE METROPOLITAN AREAmCon.Outside urbanized area ---------------------------- 3 214 2 3 214 2 2 193 – – 2 2 193 – 

Place ofm

25,000 or more ----------------------------- – –––––––––10,000 to 24,999 --------------------------- – –––––––––5,000 to 9,999 1 021 ----------------------------- – 1 021 ––––––– 2,500 to 4,999 2 193 ----------------------------- 2 2 193 2 2 193 – – 2 2 193 –

Rural ----------------------------------- 14 331 16 4 779 15 4 239 – – 15 4 239 1 

Place of 1,000 to 2,499 1 960 -------------------------- 3 1 960 2 1 420 – – 2 1 420 1 

2,000 to 2,499 955 ------------------------------- 1 955 1 955 – – 1 955 –1,500 to 1,999 540 ------------------------------- 1 540 –––––– 1 1,000 to 1,499 465 ------------------------------- 1 465 1 465 – – 1 465 –

Place of less than 1,000 2 819 -------------------------- 13 2 819 13 2 819 – – 13 2 819 –Other rural ------------------------------------- 9 552

... – ... – ... – ... – ...

OUTSIDE METROPOLITAN AREA

Total-------------------------------- 208 915 313 134 151 291 128 182 ... ... 291 128 182 22 

Urban----------------------------------- 73 757 22 73 757 20 72 208 ... ... 20 72 208 2 

Inside urbanized area ----------------------------- 1 268 1 1 268 1 1 268 ... ... 1 1 268 – 

Central place---------------------------------- 473 – 473 – 473 ... ... – 473 – 

Place ofm

1,000,000 or more ------------------------ – –––– ... ... –––500,000 to 999,999 ----------------------- – –––– ... ... –––250,000 to 499,999 ----------------------- – –––– ... ... –––100,000 to 249,999 473 ----------------------- – 473 – 473 ... ... – 473 – 50,000 to 99,999 ------------------------- – –––– ... ... –––Less than 50,000 -------------------------- – –––– ... ... –––

Urban fringe ---------------------------------- 795 1 795 1 795 ... ... 1 795 – 

Place of 2,500 or more ----------------------- – –––– ... ... –––

100,000 or more -------------------------- – –––– ... ... –––50,000 to 99,999 ------------------------- – –––– ... ... –––25,000 to 49,999 ------------------------- – –––– ... ... –––10,000 to 24,999 ------------------------- – –––– ... ... –––5,000 to 9,999 --------------------------- – –––– ... ... –––2,500 to 4,999 --------------------------- – –––– ... ... –––

Place of less than 2,500 795 ---------------------- 1 795 1 795 ... ... 1 795 – 

2,000 to 2,499 795 --------------------------- 1 795 1 795 ... ... 1 795 – 1,500 to 1,999 --------------------------- – –––– ... ... –––1,000 to 1,499 --------------------------- – –––– ... ... –––Less than 1,000 --------------------------- – –––– ... ... –––

Other urban -------------------------------- – ...........................

Outside urbanized area ---------------------------- 72 489 21 72 489 19 70 940 ... ... 19 70 940 2 

Place ofm

25,000 or more ----------------------------- – –––– ... ... –––10,000 to 24,999 50 041 --------------------------- 8 50 041 8 50 041 ... ... 8 50 041 – 5,000 to 9,999 8 739 ----------------------------- 4 8 739 3 7 884 ... ... 3 7 884 1 2,500 to 4,999 13 709 ----------------------------- 9 13 709 8 13 015 ... ... 8 13 015 1 

Rural ----------------------------------- 135 158 291 60 394 271 55 974 ... ... 271 55 974 20 

Place of 1,000 to 2,499 24 550 -------------------------- 36 24 550 31 21 768 ... ... 31 21 768 5 

2,000 to 2,499 4 913 ------------------------------- 5 4 913 4 4 060 ... ... 4 4 060 1 1,500 to 1,999 8 234 ------------------------------- 11 8 234 9 7 097 ... ... 9 7 097 2 1,000 to 1,499 11 403 ------------------------------- 20 11 403 18 10 611 ... ... 18 10 611 2 

Place of less than 1,000 35 844 -------------------------- 255 35 844 240 34 206 ... ... 240 34 206 15 Other rural ------------------------------------- 74 764

... – ... – ......... – ...

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 43
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 44

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 15. Land

Are

a in S

quare

Kilo

m

eters Insid

e

and

Outsid

e

M

etro

p

olitan Are

a

b

y

Urb

an and

Rural and

Size

of Plac

[Portions of certain cities may be classified as rural (see " Extended City" in Appendix A). Place partly outside a metropolitan area is counted where larger part of population is located; land area, however, is tabulated where located. StateInside Metropolitan AreaOutside Metropolitan Area

In place

Total Incorporated place

Total Central city of metropolitan area Other

T

All land area

Number of

places Land area

Number of

places Land area

Number of

places Land area

Number of

places Land area

Number of

places 

THE STATE

Total-------------------------------- 196 570.6 334 1 307.9 310 1 004.5 2 203.8 308 800.8 24 

Urban----------------------------------- 525.7 27 523.2 24 485.8 2 203.8 22 282.0 3 

Inside urbanized area ----------------------------- 243.4 4 240.9 3 213.6 2 203.8 19.8 1 

Central place---------------------------------- 208.2 2 208.2 2 208.2 2 203.8 – 4.4 –

Place ofm

1,000,000 or more ------------------------ – –––––––––500,000 to 999,999 ----------------------- – –––––––––250,000 to 499,999 ----------------------- – –––––––––100,000 to 249,999 116 ----------------------- .7 1 116.7 1 116.7 1 112.3 – 4.4 –50,000 to 99,999 91 ------------------------- .5 1 91.5 1 91.5 1 91.5 –––Less than 50,000 -------------------------- – –––––––––

Urban fringe ---------------------------------- 35.1 2 32.7 15.4 – – 1 5.4 1 

Place of 2,500 or more ----------------------- 27.3 1 27.3 –––––– 1 

100,000 or more -------------------------- – –––––––––50,000 to 99,999 ------------------------- – –––––––––25,000 to 49,999 ------------------------- – –––––––––10,000 to 24,999 ------------------------- – –––––––––5,000 to 9,999 27 --------------------------- .3 1 27.3 –––––– 1 2,500 to 4,999 --------------------------- – –––––––––

Place of less than 2,500 5 ---------------------- .4 1 5.4 15.4 – – 1 5.4 –

2,000 to 2,499 5 --------------------------- .4 1 5.4 15.4 – – 1 5.4 –1,500 to 1,999 --------------------------- – –––––––––1,000 to 1,499 --------------------------- – –––––––––Less than 1,000 --------------------------- – –––––––––

Other urban -------------------------------- 2.5 ...........................

Outside urbanized area ---------------------------- 282.3 23 282.3 21 272.2 – – 21 272.2 2 

Place ofm

25,000 or more ----------------------------- – –––––––––10,000 to 24,999 183 --------------------------- .5 8 183.5 8 183.5 – – 8 183.5 –5,000 to 9,999 31 ----------------------------- .4 4 31.4 3 26.5 – – 3 26.5 12,500 to 4,999 67 ----------------------------- .5 11 67.5 10 62.2 – – 10 62.2 1

Rural ----------------------------------- 196 044.9 307 784.7 286 518.7 – – 286 518.7 21 

Place of 1,000 to 2,499 242 -------------------------- .8 39 242.8 33 125.4 – – 33 125.4 6 

2,000 to 2,499 35 ------------------------------- .9 6 35.9 5 24.9 – – 5 24.9 1 1,500 to 1,999 117 ------------------------------- .9 12 117.9 9 39.9 – – 9 39.9 3 1,000 to 1,499 89 ------------------------------- .1 21 89.1 19 60.6 – – 19 60.6 2 

Place of less than 1,000 541 -------------------------- .8 268 541.8 253 393.4 – – 253 393.4 15 Other rural ------------------------------------- 195 260.3 ... – ... – ... – ... – ...INSIDE METROPOLITAN AREA

Total-------------------------------- 9 286.6 21 331.0 19 256.8 2 203.8 17 53.0 2 

Urban----------------------------------- 251.3 5 249.1 4 220.2 2 203.8 2 16.5 1 

Inside urbanized area ----------------------------- 233.3 3 231.1 2 203.8 2 203.8 – – 1 

Central place---------------------------------- 203.8 2 203.8 2 203.8 2 203.8 –––

Place ofm

1,000,000 or more ------------------------ – –––––––––500,000 to 999,999 ----------------------- – –––––––––250,000 to 499,999 ----------------------- – –––––––––100,000 to 249,999 112 ----------------------- .3 1 112.3 1 112.3 1 112.3 –––50,000 to 99,999 91 ------------------------- .5 1 91.5 1 91.5 1 91.5 –––Less than 50,000 -------------------------- – –––––––––

Urban fringe ---------------------------------- 29.5 1 27.3 –––––– 1 

Place of 2,500 or more ----------------------- 27.3 1 27.3 –––––– 1 

100,000 or more -------------------------- – –––––––––50,000 to 99,999 ------------------------- – –––––––––25,000 to 49,999 ------------------------- – –––––––––10,000 to 24,999 ------------------------- – –––––––––5,000 to 9,999 27 --------------------------- .3 1 27.3 –––––– 1 2,500 to 4,999 --------------------------- – –––––––––

Place of less than 2,500 ---------------------- – –––––––––

2,000 to 2,499 --------------------------- – –––––––––1,500 to 1,999 --------------------------- – –––––––––1,000 to 1,499 --------------------------- – –––––––––Less than 1,000 --------------------------- – –––––––––

Other urban -------------------------------- 2.2 ...........................

44 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 45

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 15. Land

Are

a in S

quare

Kilo

m

eters Insid

e

and

Outsid

e

M

etro

p

olitan Are

a

b

y

Urb

an and

Rural and

Size

of Plac

[Portions of certain cities may be classified as rural (see " Extended City" in Appendix A). Place partly outside a metropolitan area is counted where larger part of population is located; land area, however, is tabulated where located. StateInside Metropolitan AreaOutside Metropolitan Area

In place

Total Incorporated place

Total Central city of metropolitan area Other

T

All land area

Number of

places Land area

Number of

places Land area

Number of

places Land area

Number of

places Land area

Number of

places 

INSIDE METROPOLITAN AREAmCon.Outside urbanized area ---------------------------- 18.1 2 18.1 2 16.5 – – 2 16.5 – 

Place ofm

25,000 or more ----------------------------- – –––––––––10,000 to 24,999 --------------------------- – –––––––––5,000 to 9,999 1 ----------------------------- .6 – 1.6 ––––––– 2,500 to 4,999 16 ----------------------------- .5 2 16.5 2 16.5 – – 2 16.5 –

Rural ----------------------------------- 9 035.3 16 81.9 15 36.6 – – 15 36.6 1 

Place of 1,000 to 2,499 52 -------------------------- .2 3 52.2 26.9 – – 2 6.9 1 

2,000 to 2,499 4 ------------------------------- .3 1 4.3 14.3 – – 1 4.3 –1,500 to 1,999 45 ------------------------------- .4 1 45.4 –––––– 1 1,000 to 1,499 2 ------------------------------- .5 1 2.5 12.5 – – 1 2.5 –

Place of less than 1,000 29 -------------------------- .7 13 29.7 13 29.7 – – 13 29.7 –Other rural ------------------------------------- 8 953.4 ... – ... – ... – ... – ...OUTSIDE METROPOLITAN AREA

Total-------------------------------- 187 284.1 313 976.8 291 747.8 ... ... 291 747.8 22 

Urban----------------------------------- 274.4 22 274.1 20 265.6 ... ... 20 265.6 2

Inside urbanized area ----------------------------- 10.1 1 9.8 19.8 ... ... 1 9.8 – 

Central place---------------------------------- 4.4 – 4.4 – 4.4 ... ... – 4.4 – 

Place ofm

1,000,000 or more ------------------------ – –––– ... ... –––500,000 to 999,999 ----------------------- – –––– ... ... –––250,000 to 499,999 ----------------------- – –––– ... ... –––100,000 to 249,999 4 ----------------------- .4 – 4.4 – 4.4 ... ... – 4.4 – 50,000 to 99,999 ------------------------- – –––– ... ... –––Less than 50,000 -------------------------- – –––– ... ... –––

Urban fringe ---------------------------------- 5.7 1 5.4 15.4 ... ... 1 5.4 – 

Place of 2,500 or more ----------------------- – –––– ... ... –––

100,000 or more -------------------------- – –––– ... ... –––50,000 to 99,999 ------------------------- – –––– ... ... –––25,000 to 49,999 ------------------------- – –––– ... ... –––10,000 to 24,999 ------------------------- – –––– ... ... –––5,000 to 9,999 --------------------------- – –––– ... ... –––2,500 to 4,999 --------------------------- – –––– ... ... –––

Place of less than 2,500 5 ---------------------- .4 1 5.4 15.4 ... ... 1 5.4 – 

2,000 to 2,499 5 --------------------------- .4 1 5.4 15.4 ... ... 1 5.4 – 1,500 to 1,999 --------------------------- – –––– ... ... –––1,000 to 1,499 --------------------------- – –––– ... ... –––Less than 1,000 --------------------------- – –––– ... ... –––

Other urban -------------------------------- .3 ...........................

Outside urbanized area ---------------------------- 264.3 21 264.3 19 255.8 ... ... 19 255.8 2

Place ofm

25,000 or more ----------------------------- – –––– ... ... –––10,000 to 24,999 183 --------------------------- .5 8 183.5 8 183.5 ... ... 8 183.5 – 5,000 to 9,999 29 ----------------------------- .8 4 29.8 3 26.5 ... ... 3 26.5 12,500 to 4,999 51 ----------------------------- .0 9 51.0 8 45.8 ... ... 8 45.8 1

Rural ----------------------------------- 187 009.7 291 702.8 271 482.2 ... ... 271 482.2 20 

Place of 1,000 to 2,499 190 -------------------------- .6 36 190.6 31 118.5 ... ... 31 118.5 5 

2,000 to 2,499 31 ------------------------------- .6 5 31.6 4 20.6 ... ... 4 20.6 1 1,500 to 1,999 72 ------------------------------- .5 11 72.5 9 39.9 ... ... 9 39.9 2 1,000 to 1,499 86 ------------------------------- .5 20 86.5 18 58.0 ... ... 18 58.0 2 

Place of less than 1,000 512 -------------------------- .2 255 512.2 240 363.7 ... ... 240 363.7 15 Other rural ------------------------------------- 186 306.9 ... – ... – ......... – ...

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 45
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 46

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 16. Land

Are

a in S

quare

Miles Insid

e

and

Outsid

e

M

etro

p

olitan Are

a

b

y

Urb

an and

Rural and

Size

of Place: 1

[Portions of certain cities may be classified as rural (see " Extended City" in Appendix A). Place partly outside a metropolitan area is counted where larger part of population is located; land area, however, is tabulated where located. StateInside Metropolitan AreaOutside Metropolitan Area

In place

Total Incorporated place

Total Central city of metropolitan area Other

T

All land area

Number of

places Land area

Number of

places Land area

Number of

places Land area

Number of

places Land area

Number of

places 

THE STATE

Total-------------------------------- 75 896.0 334 505.0 310 387.9 2 78.7 308 309.2 24 

Urban----------------------------------- 203.0 27 202.0 24 187.6 2 78.7 22 108.9 3 

Inside urbanized area ----------------------------- 94.0 4 93.0 3 82.5 2 78.7 13.8 1 

Central place---------------------------------- 80.4 2 80.4 2 80.4 2 78.7 – 1.7 –

Place ofm

1,000,000 or more ------------------------ – –––––––––500,000 to 999,999 ----------------------- – –––––––––250,000 to 499,999 ----------------------- – –––––––––100,000 to 249,999 45 ----------------------- .1 1 45.1 1 45.1 1 43.3 – 1.7 –50,000 to 99,999 35 ------------------------- .3 1 35.3 1 35.3 1 35.3 –––Less than 50,000 -------------------------- – –––––––––

Urban fringe ---------------------------------- 13.6 2 12.6 12.1 – – 1 2.1 1 

Place of 2,500 or more ----------------------- 10.5 1 10.5 –––––– 1 

100,000 or more -------------------------- – –––––––––50,000 to 99,999 ------------------------- – –––––––––25,000 to 49,999 ------------------------- – –––––––––10,000 to 24,999 ------------------------- – –––––––––5,000 to 9,999 10 --------------------------- .5 1 10.5 –––––– 1 2,500 to 4,999 --------------------------- – –––––––––

Place of less than 2,500 2 ---------------------- .1 1 2.1 12.1 – – 1 2.1 –

2,000 to 2,499 2 --------------------------- .1 1 2.1 12.1 – – 1 2.1 –1,500 to 1,999 --------------------------- – –––––––––1,000 to 1,499 --------------------------- – –––––––––Less than 1,000 --------------------------- – –––––––––

Other urban -------------------------------- 1.0 ...........................

Outside urbanized area ---------------------------- 109.0 23 109.0 21 105.1 – – 21 105.1 2

Place ofm

25,000 or more ----------------------------- – –––––––––10,000 to 24,999 70 --------------------------- .8 8 70.8 8 70.8 – – 8 70.8 –5,000 to 9,999 12 ----------------------------- .1 4 12.1 3 10.2 – – 3 10.2 12,500 to 4,999 26 ----------------------------- .1 11 26.1 10 24.0 – – 10 24.0 1

Rural ----------------------------------- 75 693.0 307 303.0 286 200.3 – – 286 200.3 21 

Place of 1,000 to 2,499 93 -------------------------- .8 39 93.8 33 48.4 – – 33 48.4 6 

2,000 to 2,499 13 ------------------------------- .9 6 13.9 59.6 – – 5 9.6 11,500 to 1,999 45 ------------------------------- .5 12 45.5 9 15.4 – – 9 15.4 3 1,000 to 1,499 34 ------------------------------- .4 21 34.4 19 23.4 – – 19 23.4 2 

Place of less than 1,000 209 -------------------------- .2 268 209.2 253 151.9 – – 253 151.9 15 Other rural ------------------------------------- 75 390.1 ... – ... – ... – ... – ...INSIDE METROPOLITAN AREA

Total-------------------------------- 3 585.5 21 127.8 19 99.1 2 78.7 17 20.5 2 

Urban----------------------------------- 97.0 5 96.2 4 85.0 2 78.7 26.4 1 

Inside urbanized area ----------------------------- 90.1 3 89.2 2 78.7 2 78.7 – – 1 

Central place---------------------------------- 78.7 2 78.7 2 78.7 2 78.7 –––

Place ofm

1,000,000 or more ------------------------ – –––––––––500,000 to 999,999 ----------------------- – –––––––––250,000 to 499,999 ----------------------- – –––––––––100,000 to 249,999 43 ----------------------- .3 1 43.3 1 43.3 1 43.3 –––50,000 to 99,999 35 ------------------------- .3 1 35.3 1 35.3 1 35.3 –––Less than 50,000 -------------------------- – –––––––––

Urban fringe ---------------------------------- 11.4 1 10.5 –––––– 1 

Place of 2,500 or more ----------------------- 10.5 1 10.5 –––––– 1 

100,000 or more -------------------------- – –––––––––50,000 to 99,999 ------------------------- – –––––––––25,000 to 49,999 ------------------------- – –––––––––10,000 to 24,999 ------------------------- – –––––––––5,000 to 9,999 10 --------------------------- .5 1 10.5 –––––– 1 2,500 to 4,999 --------------------------- – –––––––––

Place of less than 2,500 ---------------------- – –––––––––

2,000 to 2,499 --------------------------- – –––––––––1,500 to 1,999 --------------------------- – –––––––––1,000 to 1,499 --------------------------- – –––––––––Less than 1,000 --------------------------- – –––––––––

Other urban -------------------------------- .8 ...........................

46 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 47

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 16. Land

Are

a in S

quare

Miles Insid

e

and

Outsid

e

M

etro

p

olitan Are

a

b

y

Urb

an and

Rural and

Size

of Place: 1

[Portions of certain cities may be classified as rural (see " Extended City" in Appendix A). Place partly outside a metropolitan area is counted where larger part of population is located; land area, however, is tabulated where located. StateInside Metropolitan AreaOutside Metropolitan Area

In place

Total Incorporated place

Total Central city of metropolitan area Other

T

All land area

Number of

places Land area

Number of

places Land area

Number of

places Land area

Number of

places Land area

Number of

places 

INSIDE METROPOLITAN AREAmCon.Outside urbanized area ---------------------------- 7.0 2 7.0 26.4 – – 2 6.4 – 

Place ofm

25,000 or more ----------------------------- – –––––––––10,000 to 24,999 --------------------------- – –––––––––5,000 to 9,999 ----------------------------- .6 – .6 ––––––– 2,500 to 4,999 6 ----------------------------- .4 2 6.4 26.4 – – 2 6.4 –

Rural ----------------------------------- 3 488.5 16 31.6 15 14.1 – – 15 14.1 1 

Place of 1,000 to 2,499 20 -------------------------- .2 3 20.2 22.7 – – 2 2.7 1 

2,000 to 2,499 1 ------------------------------- .7 1 1.7 11.7 – – 1 1.7 –1,500 to 1,999 17 ------------------------------- .5 1 17.5 –––––– 1 1,000 to 1,499 1 ------------------------------- .0 1 1.0 11.0 – – 1 1.0 –

Place of less than 1,000 11 -------------------------- .5 13 11.5 13 11.5 – – 13 11.5 –Other rural ------------------------------------- 3 456.9 ... – ... – ... – ... – ...OUTSIDE METROPOLITAN AREA

Total-------------------------------- 72 310.4 313 377.2 291 288.7 ... ... 291 288.7 22 

Urban----------------------------------- 105.9 22 105.8 20 102.5 ... ... 20 102.5 2

Inside urbanized area ----------------------------- 3.9 1 3.8 13.8 ... ... 1 3.8 – 

Central place---------------------------------- 1.7 – 1.7 – 1.7 ... ... – 1.7 – 

Place ofm

1,000,000 or more ------------------------ – –––– ... ... –––500,000 to 999,999 ----------------------- – –––– ... ... –––250,000 to 499,999 ----------------------- – –––– ... ... –––100,000 to 249,999 1 ----------------------- .7 – 1.7 – 1.7 ... ... – 1.7 – 50,000 to 99,999 ------------------------- – –––– ... ... –––Less than 50,000 -------------------------- – –––– ... ... –––

Urban fringe ---------------------------------- 2.2 1 2.1 12.1 ... ... 1 2.1 – 

Place of 2,500 or more ----------------------- – –––– ... ... –––

100,000 or more -------------------------- – –––– ... ... –––50,000 to 99,999 ------------------------- – –––– ... ... –––25,000 to 49,999 ------------------------- – –––– ... ... –––10,000 to 24,999 ------------------------- – –––– ... ... –––5,000 to 9,999 --------------------------- – –––– ... ... –––2,500 to 4,999 --------------------------- – –––– ... ... –––

Place of less than 2,500 2 ---------------------- .1 1 2.1 12.1 ... ... 1 2.1 – 

2,000 to 2,499 2 --------------------------- .1 1 2.1 12.1 ... ... 1 2.1 – 1,500 to 1,999 --------------------------- – –––– ... ... –––1,000 to 1,499 --------------------------- – –––– ... ... –––Less than 1,000 --------------------------- – –––– ... ... –––

Other urban -------------------------------- .1 ...........................

Outside urbanized area ---------------------------- 102.0 21 102.0 19 98.8 ... ... 19 98.8 2

Place ofm

25,000 or more ----------------------------- – –––– ... ... –––10,000 to 24,999 70 --------------------------- .8 8 70.8 8 70.8 ... ... 8 70.8 – 5,000 to 9,999 11 ----------------------------- .5 4 11.5 3 10.2 ... ... 3 10.2 12,500 to 4,999 19 ----------------------------- .7 9 19.7 8 17.7 ... ... 8 17.7 1

Rural ----------------------------------- 72 204.5 291 271.3 271 186.2 ... ... 271 186.2 20 

Place of 1,000 to 2,499 73 -------------------------- .6 36 73.6 31 45.8 ... ... 31 45.8 5 

2,000 to 2,499 12 ------------------------------- .2 5 12.2 47.9 ... ... 4 7.9 11,500 to 1,999 28 ------------------------------- .0 11 28.0 9 15.4 ... ... 9 15.4 2 1,000 to 1,499 33 ------------------------------- .4 20 33.4 18 22.4 ... ... 18 22.4 2 

Place of less than 1,000 197 -------------------------- .7 255 197.7 240 140.4 ... ... 240 140.4 15 Other rural ------------------------------------- 71 933.2 ... – ... – ......... – ...

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 47
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 48

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 17. P

o

pulation Insid

e

and

Outsid

e

M

etro

p

olitan Are

a

b

y

Size

of Place: 1990

[Place partly outside a metropolitan area is counted where larger part of population is located; population, however, is tabulated where located. For definitions of terms and meanings of symbols, see text]StateInside Metropolitan AreaOutside Metropolitan Area

In place

Total Incorporated place

Total Central city of metropolitan area Other

T

Total population

Number of

places Population

Number of

places Population

Number of

places Population

Number of

places Population

Number of

places 

THE STATE

Total-------------------------------- 696 004 334 491 901 310 459 994 2 153 928 308 306 066 24 

In place ------------------------------- 491 901 334 491 901 310 459 994 2 153 928 308 306 066 24 

Place ofm

1,000,000 or more ---------------------------- – –––––––––500,000 to 999,999 --------------------------- – –––––––––250,000 to 499,999 --------------------------- – –––––––––100,000 to 249,999 100 814 --------------------------- 1 100 814 1 100 814 1 99 405 – 1 409 –50,000 to 99,999 54 523 ----------------------------- 1 54 523 1 54 523 1 54 523 –––25,000 to 49,999 ----------------------------- – –––––––––10,000 to 24,999 120 678 ----------------------------- 8 120 678 8 120 678 – – 8 120 678 –5,000 to 9,999 31 538 ------------------------------- 5 31 538 3 18 553 ... ... 3 18 553 2 2,500 to 4,999 37 669 ------------------------------- 11 37 669 10 35 073 ... ... 10 35 073 1 2,000 to 2,499 15 633 ------------------------------- 7 15 633 6 13 359 ... ... 6 13 359 1 1,500 to 1,999 20 501 ------------------------------- 12 20 501 9 15 415 ... ... 9 15 415 3 1,000 to 1,499 26 364 ------------------------------- 21 26 364 19 23 853 ... ... 19 23 853 2 500 to 999 47 719 ---------------------------------- 67 47 719 61 43 351 ... ... 61 43 351 6 200 to 499 24 208 ---------------------------------- 74 24 208 69 22 582 ... ... 69 22 582 5 Less than 200 12 254 -------------------------------- 127 12 254 123 11 793 ... ... 123 11 793 4 

Cumulative summary: Place ofm

1,000,000 or more ---------------------------- – –––––––––500,000 or more ------------------------------ – –––––––––250,000 or more ------------------------------ – –––––––––100,000 or more ------------------------------ 100 814 1 100 814 1 100 814 1 99 405 – 1 409 –50,000 or more ------------------------------- 155 337 2 155 337 2 155 337 2 153 928 – 1 409 –25,000 or more ------------------------------- 155 337 2 155 337 2 155 337 2 153 928 – 1 409 –10,000 or more ------------------------------- 276 015 10 276 015 10 276 015 2 153 928 8 122 087 –5,000 or more -------------------------------- 307 553 15 307 553 13 294 568 2 153 928 11 140 640 2 2,500 or more -------------------------------- 345 222 26 345 222 23 329 641 2 153 928 21 175 713 3 2,000 or more -------------------------------- 360 855 33 360 855 29 343 000 2 153 928 27 189 072 4 1,500 or more -------------------------------- 381 356 45 381 356 38 358 415 2 153 928 36 204 487 7 1,000 or more -------------------------------- 407 720 66 407 720 57 382 268 2 153 928 55 228 340 9 500 or more --------------------------------- 455 439 133 455 439 118 425 619 2 153 928 116 271 691 15 200 or more --------------------------------- 479 647 207 479 647 187 448 201 2 153 928 185 294 273 20 

Not in place ---------------------------- 204 103 ...........................

INSIDE METROPOLITAN AREA

Total-------------------------------- 205 152 21 180 719 19 170 511 2 153 928 17 16 583 2 

In place ------------------------------- 180 719 21 180 719 19 170 511 2 153 928 17 16 583 2 

Place ofm

1,000,000 or more ---------------------------- – –––––––––500,000 to 999,999 --------------------------- – –––––––––250,000 to 499,999 --------------------------- – –––––––––100,000 to 249,999 99 405 --------------------------- 1 99 405 1 99 405 1 99 405 –––50,000 to 99,999 54 523 ----------------------------- 1 54 523 1 54 523 1 54 523 –––25,000 to 49,999 ----------------------------- – –––––––––10,000 to 24,999 ----------------------------- – –––––––––5,000 to 9,999 8 655 ------------------------------- 1 8 655 – – ... ... – – 1 2,500 to 4,999 6 223 ------------------------------- 2 6 223 2 6 223 ... ... 2 6 223 – 2,000 to 2,499 2 484 ------------------------------- 1 2 484 1 2 484 ... ... 1 2 484 – 1,500 to 1,999 1 553 ------------------------------- 1 1 553 – – ... ... – – 1 1,000 to 1,499 1 262 ------------------------------- 1 1 262 1 1 262 ... ... 1 1 262 – 500 to 999 5 694 ---------------------------------- 8 5 694 8 5 694 ... ... 8 5 694 – 200 to 499 700 ---------------------------------- 2 700 2 700 ... ... 2 700 – Less than 200 220 -------------------------------- 3 220 3 220 ... ... 3 220 – 

48 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 49

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 17. P

o

pulation Insid

e

and

Outsid

e

M

etro

p

olitan Are

a

b

y

Size

of Place: 1990

mCon.

[Place partly outside a metropolitan area is counted where larger part of population is located; population, however, is tabulated where located. For definitions of terms and meanings of symbols, see text]StateInside Metropolitan AreaOutside Metropolitan Area

In place

Total Incorporated place

Total Central city of metropolitan area Other

T

Total population

Number of

places Population

Number of

places Population

Number of

places Population

Number of

places Population

Number of

places 

INSIDE METROPOLITAN AREAmCon.

Cumulative summary:

Place ofm

1,000,000 or more ---------------------------- – –––––––––500,000 or more ------------------------------ – –––––––––250,000 or more ------------------------------ – –––––––––100,000 or more ------------------------------ 99 405 1 99 405 1 99 405 1 99 405 –––50,000 or more ------------------------------- 153 928 2 153 928 2 153 928 2 153 928 –––25,000 or more ------------------------------- 153 928 2 153 928 2 153 928 2 153 928 –––10,000 or more ------------------------------- 153 928 2 153 928 2 153 928 2 153 928 –––5,000 or more -------------------------------- 162 583 3 162 583 2 153 928 2 153 928 – – 1 2,500 or more -------------------------------- 168 806 5 168 806 4 160 151 2 153 928 2 6 223 1 2,000 or more -------------------------------- 171 290 6 171 290 5 162 635 2 153 928 3 8 707 1 1,500 or more -------------------------------- 172 843 7 172 843 5 162 635 2 153 928 3 8 707 2 1,000 or more -------------------------------- 174 105 8 174 105 6 163 897 2 153 928 4 9 969 2 500 or more --------------------------------- 179 799 16 179 799 14 169 591 2 153 928 12 15 663 2 200 or more --------------------------------- 180 499 18 180 499 16 170 291 2 153 928 14 16 363 2 

Not in place ---------------------------- 24 433 ...........................

OUTSIDE METROPOLITAN AREA

Total-------------------------------- 490 852 313 311 182 291 289 483 ... ... 291 289 483 22 

In place ------------------------------- 311 182 313 311 182 291 289 483 ... ... 291 289 483 22 

Place ofm

1,000,000 or more ---------------------------- – –––– ............ – 500,000 to 999,999 --------------------------- – –––– ............ – 250,000 to 499,999 --------------------------- – –––– ............ – 100,000 to 249,999 1 409 --------------------------- – 1 409 – 1 409 ............ – 50,000 to 99,999 ----------------------------- – –––– ............ – 25,000 to 49,999 ----------------------------- – –––– ... ... –––10,000 to 24,999 120 678 ----------------------------- 8 120 678 8 120 678 ... ... 8 120 678 – 5,000 to 9,999 22 883 ------------------------------- 4 22 883 3 18 553 ... ... 3 18 553 1 2,500 to 4,999 31 446 ------------------------------- 9 31 446 8 28 850 ... ... 8 28 850 1 2,000 to 2,499 13 149 ------------------------------- 6 13 149 5 10 875 ... ... 5 10 875 1 1,500 to 1,999 18 948 ------------------------------- 11 18 948 9 15 415 ... ... 9 15 415 2 1,000 to 1,499 25 102 ------------------------------- 20 25 102 18 22 591 ... ... 18 22 591 2 500 to 999 42 025 ---------------------------------- 59 42 025 53 37 657 ... ... 53 37 657 6 200 to 499 23 508 ---------------------------------- 72 23 508 67 21 882 ... ... 67 21 882 5 Less than 200 12 034 -------------------------------- 124 12 034 120 11 573 ... ... 120 11 573 4 

Cumulative summary:

Place ofm

1,000,000 or more ---------------------------- – –––– ............ – 500,000 or more ------------------------------ – –––– ............ – 250,000 or more ------------------------------ – –––– ............ – 100,000 or more ------------------------------ 1 409 – 1 409 – 1 409 ............ – 50,000 or more ------------------------------- 1 409 – 1 409 – 1 409 ............ – 25,000 or more ------------------------------- 1 409 – 1 409 – 1 409 ... ... – 1 409 – 10,000 or more ------------------------------- 122 087 8 122 087 8 122 087 ... ... 8 122 087 – 5,000 or more -------------------------------- 144 970 12 144 970 11 140 640 ... ... 11 140 640 1 2,500 or more -------------------------------- 176 416 21 176 416 19 169 490 ... ... 19 169 490 2 2,000 or more -------------------------------- 189 565 27 189 565 24 180 365 ... ... 24 180 365 3 1,500 or more -------------------------------- 208 513 38 208 513 33 195 780 ... ... 33 195 780 5 1,000 or more -------------------------------- 233 615 58 233 615 51 218 371 ... ... 51 218 371 7 500 or more --------------------------------- 275 640 117 275 640 104 256 028 ... ... 104 256 028 13 200 or more --------------------------------- 299 148 189 299 148 171 277 910 ... ... 171 277 910 18 

Not in place ---------------------------- 179 670 ...........................

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 49
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 50

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 18. H

ousing

Units Insid

e

and

Outsid

e

M

etro

p

olitan Are

a

b

y

Size

of Place: 1990

[Place partly outside a metropolitan area is counted where larger part of population is located; housing units, however, are tabulated where located. For definitions of terms and meanings of symbols, see text]StateInside Metropolitan AreaOutside Metropolitan Area

In place

Total Incorporated place

Total Central city of metropolitan area Other

T

All housing

units

Number of

places Housing units

Number of

places Housing units

Number of

places Housing units

Number of

places Housing units

Number of

places 

THE STATE

Total-------------------------------- 292 436 334 207 863 310 198 239 2 63 625 308 134 614 24 

In place ------------------------------- 207 863 334 207 863 310 198 239 2 63 625 308 134 614 24 

Place ofm

1,000,000 or more ---------------------------- – –––––––––500,000 to 999,999 --------------------------- – –––––––––250,000 to 499,999 --------------------------- – –––––––––100,000 to 249,999 41 568 --------------------------- 1 41 568 1 41 568 1 41 095 – 473 –50,000 to 99,999 22 530 ----------------------------- 1 22 530 1 22 530 1 22 530 –––25,000 to 49,999 ----------------------------- – –––––––––10,000 to 24,999 50 041 ----------------------------- 8 50 041 8 50 041 – – 8 50 041 –5,000 to 9,999 11 854 ------------------------------- 5 11 854 3 7 884 ... ... 3 7 884 2 2,500 to 4,999 15 902 ------------------------------- 11 15 902 10 15 208 ... ... 10 15 208 1 2,000 to 2,499 6 663 ------------------------------- 7 6 663 6 5 810 ... ... 6 5 810 1 1,500 to 1,999 8 774 ------------------------------- 12 8 774 9 7 097 ... ... 9 7 097 3 1,000 to 1,499 11 868 ------------------------------- 21 11 868 19 11 076 ... ... 19 11 076 2 500 to 999 20 957 ---------------------------------- 67 20 957 61 19 866 ... ... 61 19 866 6 200 to 499 11 403 ---------------------------------- 74 11 403 69 10 975 ... ... 69 10 975 5 Less than 200 6 303 -------------------------------- 127 6 303 123 6 184 ... ... 123 6 184 4 

Cumulative summary: Place ofm

1,000,000 or more ---------------------------- – –––––––––500,000 or more ------------------------------ – –––––––––250,000 or more ------------------------------ – –––––––––100,000 or more ------------------------------ 41 568 1 41 568 1 41 568 1 41 095 – 473 –50,000 or more ------------------------------- 64 098 2 64 098 2 64 098 2 63 625 – 473 –25,000 or more ------------------------------- 64 098 2 64 098 2 64 098 2 63 625 – 473 –10,000 or more ------------------------------- 114 139 10 114 139 10 114 139 2 63 625 8 50 514 –5,000 or more -------------------------------- 125 993 15 125 993 13 122 023 2 63 625 11 58 398 2 2,500 or more -------------------------------- 141 895 26 141 895 23 137 231 2 63 625 21 73 606 3 2,000 or more -------------------------------- 148 558 33 148 558 29 143 041 2 63 625 27 79 416 4 1,500 or more -------------------------------- 157 332 45 157 332 38 150 138 2 63 625 36 86 513 7 1,000 or more -------------------------------- 169 200 66 169 200 57 161 214 2 63 625 55 97 589 9 500 or more --------------------------------- 190 157 133 190 157 118 181 080 2 63 625 116 117 455 15 200 or more --------------------------------- 201 560 207 201 560 187 192 055 2 63 625 185 128 430 20 

Not in place ---------------------------- 84 573 ...........................

INSIDE METROPOLITAN AREA

Total-------------------------------- 83 521 21 73 712 19 70 057 2 63 625 17 6 432 2 

In place ------------------------------- 73 712 21 73 712 19 70 057 2 63 625 17 6 432 2 

Place ofm

1,000,000 or more ---------------------------- – –––––––––500,000 to 999,999 --------------------------- – –––––––––250,000 to 499,999 --------------------------- – –––––––––100,000 to 249,999 41 095 --------------------------- 1 41 095 1 41 095 1 41 095 –––50,000 to 99,999 22 530 ----------------------------- 1 22 530 1 22 530 1 22 530 –––25,000 to 49,999 ----------------------------- – –––––––––10,000 to 24,999 ----------------------------- – –––––––––5,000 to 9,999 3 115 ------------------------------- 1 3 115 – – ... ... – – 1 2,500 to 4,999 2 193 ------------------------------- 2 2 193 2 2 193 ... ... 2 2 193 – 2,000 to 2,499 955 ------------------------------- 1 955 1 955 ... ... 1 955 – 1,500 to 1,999 540 ------------------------------- 1 540 – – ... ... – – 1 1,000 to 1,499 465 ------------------------------- 1 465 1 465 ... ... 1 465 – 500 to 999 2 387 ---------------------------------- 8 2 387 8 2 387 ... ... 8 2 387 – 200 to 499 325 ---------------------------------- 2 325 2 325 ... ... 2 325 – Less than 200 107 -------------------------------- 3 107 3 107 ... ... 3 107 – 

50 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 51

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 18. H

ousing

Units Insid

e

and

Outsid

e

M

etro

p

olitan Are

a

b

y

Size

of Place: 1990

mCon.

[Place partly outside a metropolitan area is counted where larger part of population is located; housing units, however, are tabulated where located. For definitions of terms and meanings of symbols, see text]StateInside Metropolitan AreaOutside Metropolitan Area

In place

Total Incorporated place

Total Central city of metropolitan area Other

T

All housing

units

Number of

places Housing units

Number of

places Housing units

Number of

places Housing units

Number of

places Housing units

Number of

places 

INSIDE METROPOLITAN AREAmCon.

Cumulative summary:

Place ofm

1,000,000 or more ---------------------------- – –––––––––500,000 or more ------------------------------ – –––––––––250,000 or more ------------------------------ – –––––––––100,000 or more ------------------------------ 41 095 1 41 095 1 41 095 1 41 095 –––50,000 or more ------------------------------- 63 625 2 63 625 2 63 625 2 63 625 –––25,000 or more ------------------------------- 63 625 2 63 625 2 63 625 2 63 625 –––10,000 or more ------------------------------- 63 625 2 63 625 2 63 625 2 63 625 –––5,000 or more -------------------------------- 66 740 3 66 740 2 63 625 2 63 625 – – 1 2,500 or more -------------------------------- 68 933 5 68 933 4 65 818 2 63 625 2 2 193 1 2,000 or more -------------------------------- 69 888 6 69 888 5 66 773 2 63 625 3 3 148 1 1,500 or more -------------------------------- 70 428 7 70 428 5 66 773 2 63 625 3 3 148 2 1,000 or more -------------------------------- 70 893 8 70 893 6 67 238 2 63 625 4 3 613 2 500 or more --------------------------------- 73 280 16 73 280 14 69 625 2 63 625 12 6 000 2 200 or more --------------------------------- 73 605 18 73 605 16 69 950 2 63 625 14 6 325 2 

Not in place ---------------------------- 9 809 ...........................

OUTSIDE METROPOLITAN AREA

Total-------------------------------- 208 915 313 134 151 291 128 182 ... ... 291 128 182 22 

In place ------------------------------- 134 151 313 134 151 291 128 182 ... ... 291 128 182 22 

Place ofm

1,000,000 or more ---------------------------- – –––– ............ – 500,000 to 999,999 --------------------------- – –––– ............ – 250,000 to 499,999 --------------------------- – –––– ............ – 100,000 to 249,999 473 --------------------------- – 473 – 473 ............ – 50,000 to 99,999 ----------------------------- – –––– ............ – 25,000 to 49,999 ----------------------------- – –––– ... ... –––10,000 to 24,999 50 041 ----------------------------- 8 50 041 8 50 041 ... ... 8 50 041 – 5,000 to 9,999 8 739 ------------------------------- 4 8 739 3 7 884 ... ... 3 7 884 1 2,500 to 4,999 13 709 ------------------------------- 9 13 709 8 13 015 ... ... 8 13 015 1 2,000 to 2,499 5 708 ------------------------------- 6 5 708 5 4 855 ... ... 5 4 855 1 1,500 to 1,999 8 234 ------------------------------- 11 8 234 9 7 097 ... ... 9 7 097 2 1,000 to 1,499 11 403 ------------------------------- 20 11 403 18 10 611 ... ... 18 10 611 2 500 to 999 18 570 ---------------------------------- 59 18 570 53 17 479 ... ... 53 17 479 6 200 to 499 11 078 ---------------------------------- 72 11 078 67 10 650 ... ... 67 10 650 5 Less than 200 6 196 -------------------------------- 124 6 196 120 6 077 ... ... 120 6 077 4 

Cumulative summary:

Place ofm

1,000,000 or more ---------------------------- – –––– ............ – 500,000 or more ------------------------------ – –––– ............ – 250,000 or more ------------------------------ – –––– ............ – 100,000 or more ------------------------------ 473 – 473 – 473 ............ – 50,000 or more ------------------------------- 473 – 473 – 473 ............ – 25,000 or more ------------------------------- 473 – 473 – 473 ... ... – 473 – 10,000 or more ------------------------------- 50 514 8 50 514 8 50 514 ... ... 8 50 514 – 5,000 or more -------------------------------- 59 253 12 59 253 11 58 398 ... ... 11 58 398 1 2,500 or more -------------------------------- 72 962 21 72 962 19 71 413 ... ... 19 71 413 2 2,000 or more -------------------------------- 78 670 27 78 670 24 76 268 ... ... 24 76 268 3 1,500 or more -------------------------------- 86 904 38 86 904 33 83 365 ... ... 33 83 365 5 1,000 or more -------------------------------- 98 307 58 98 307 51 93 976 ... ... 51 93 976 7 500 or more --------------------------------- 116 877 117 116 877 104 111 455 ... ... 104 111 455 13 200 or more --------------------------------- 127 955 189 127 955 171 122 105 ... ... 171 122 105 18 

Not in place ---------------------------- 74 764 ...........................

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 51
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 52

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 19. Land

Are

a in S

quare

Kilo

m

eters Insid

e

and

Outsid

e

M

etro

p

olitan Are

a

b

y

Size

of Place: 1990

[Place partly outside a metropolitan area is counted where larger part of population is located; land area, however, is tabulated where located. For definitions of terms and meanings of symbols, see text]StateInside Metropolitan AreaOutside Metropolitan Area

In place

Total Incorporated place

Total Central city of metropolitan area Other

T

All land area

Number of

places Land area

Number of

places Land area

Number of

places Land area

Number of

places Land area

Number of

places 

THE STATE

Total-------------------------------- 196 570.6 334 1 307.9 310 1 004.5 2 203.8 308 800.8 24 

In place ------------------------------- 1 307.9 334 1 307.9 310 1 004.5 2 203.8 308 800.8 24 

Place ofm

1,000,000 or more ---------------------------- – –––––––––500,000 to 999,999 --------------------------- – –––––––––250,000 to 499,999 --------------------------- – –––––––––100,000 to 249,999 116 --------------------------- .7 1 116.7 1 116.7 1 112.3 – 4.4 –50,000 to 99,999 91 ----------------------------- .5 1 91.5 1 91.5 1 91.5 –––25,000 to 49,999 ----------------------------- – –––––––––10,000 to 24,999 183 ----------------------------- .5 8 183.5 8 183.5 – – 8 183.5 –5,000 to 9,999 58 ------------------------------- .7 5 58.7 3 26.5 ... ... 3 26.5 2 2,500 to 4,999 67 ------------------------------- .5 11 67.5 10 62.2 ... ... 10 62.2 12,000 to 2,499 41 ------------------------------- .3 7 41.3 6 30.3 ... ... 6 30.3 1 1,500 to 1,999 117 ------------------------------- .9 12 117.9 9 39.9 ... ... 9 39.9 3 1,000 to 1,499 89 ------------------------------- .1 21 89.1 19 60.6 ... ... 19 60.6 2 500 to 999 186 ---------------------------------- .4 67 186.4 61 132.3 ... ... 61 132.3 6 200 to 499 184 ---------------------------------- .5 74 184.5 69 113.4 ... ... 69 113.4 5 Less than 200 171 -------------------------------- .0 127 171.0 123 147.7 ... ... 123 147.7 4 

Cumulative summary: Place ofm

1,000,000 or more ---------------------------- – –––––––––500,000 or more ------------------------------ – –––––––––250,000 or more ------------------------------ – –––––––––100,000 or more ------------------------------ 116.7 1 116.7 1 116.7 1 112.3 – 4.4 –50,000 or more ------------------------------- 208.2 2 208.2 2 208.2 2 203.8 – 4.4 –25,000 or more ------------------------------- 208.2 2 208.2 2 208.2 2 203.8 – 4.4 –10,000 or more ------------------------------- 391.7 10 391.7 10 391.7 2 203.8 8 187.9 –5,000 or more -------------------------------- 450.4 15 450.4 13 418.2 2 203.8 11 214.4 2 2,500 or more -------------------------------- 517.8 26 517.8 23 480.4 2 203.8 21 276.7 3 2,000 or more -------------------------------- 559.1 33 559.1 29 510.7 2 203.8 27 306.9 4 1,500 or more -------------------------------- 677.0 45 677.0 38 550.6 2 203.8 36 346.8 7 1,000 or more -------------------------------- 766.0 66 766.0 57 611.2 2 203.8 55 407.4 9 500 or more --------------------------------- 952.4 133 952.4 118 743.4 2 203.8 116 539.7 15 200 or more --------------------------------- 1 136.9 207 1 136.9 187 856.8 2 203.8 185 653.0 20 

Not in place ---------------------------- 195 262.8 ...........................

INSIDE METROPOLITAN AREA

Total-------------------------------- 9 286.6 21 331.0 19 256.8 2 203.8 17 53.0 2 

In place ------------------------------- 331.0 21 331.0 19 256.8 2 203.8 17 53.0 2 

Place ofm

1,000,000 or more ---------------------------- – –––––––––500,000 to 999,999 --------------------------- – –––––––––250,000 to 499,999 --------------------------- – –––––––––100,000 to 249,999 112 --------------------------- .3 1 112.3 1 112.3 1 112.3 –––50,000 to 99,999 91 ----------------------------- .5 1 91.5 1 91.5 1 91.5 –––25,000 to 49,999 ----------------------------- – –––––––––10,000 to 24,999 ----------------------------- – –––––––––5,000 to 9,999 28 ------------------------------- .9 1 28.9 – – ... ... – – 1 2,500 to 4,999 16 ------------------------------- .5 2 16.5 2 16.5 ... ... 2 16.5 – 2,000 to 2,499 4 ------------------------------- .3 1 4.3 14.3 ... ... 1 4.3 – 1,500 to 1,999 45 ------------------------------- .4 1 45.4 – – ... ... – – 1 1,000 to 1,499 2 ------------------------------- .5 1 2.5 12.5 ... ... 1 2.5 – 500 to 999 17 ---------------------------------- .2 8 17.2 8 17.2 ... ... 8 17.2 – 200 to 499 8 ---------------------------------- .9 2 8.9 28.9 ... ... 2 8.9 – Less than 200 3 -------------------------------- .6 3 3.6 33.6 ... ... 3 3.6 – 

52 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 53

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 19. Land

Are

a in S

quare

Kilo

m

eters Insid

e

and

Outsid

e

M

etro

p

olitan Are

a

b

y

Size

of Place: 1990

mCon.

[Place partly outside a metropolitan area is counted where larger part of population is located; land area, however, is tabulated where located. For definitions of terms and meanings of symbols, see text]StateInside Metropolitan AreaOutside Metropolitan Area

In place

Total Incorporated place

Total Central city of metropolitan area Other

T

All land area

Number of

places Land area

Number of

places Land area

Number of

places Land area

Number of

places Land area

Number of

places 

INSIDE METROPOLITAN AREAmCon.

Cumulative summary:

Place ofm

1,000,000 or more ---------------------------- – –––––––––500,000 or more ------------------------------ – –––––––––250,000 or more ------------------------------ – –––––––––100,000 or more ------------------------------ 112.3 1 112.3 1 112.3 1 112.3 –––50,000 or more ------------------------------- 203.8 2 203.8 2 203.8 2 203.8 –––25,000 or more ------------------------------- 203.8 2 203.8 2 203.8 2 203.8 –––10,000 or more ------------------------------- 203.8 2 203.8 2 203.8 2 203.8 –––5,000 or more -------------------------------- 232.7 3 232.7 2 203.8 2 203.8 – – 1 2,500 or more -------------------------------- 249.1 5 249.1 4 220.2 2 203.8 2 16.5 1 2,000 or more -------------------------------- 253.4 6 253.4 5 224.6 2 203.8 3 20.8 1 1,500 or more -------------------------------- 298.8 7 298.8 5 224.6 2 203.8 3 20.8 2 1,000 or more -------------------------------- 301.4 8 301.4 6 227.1 2 203.8 4 23.3 2 500 or more --------------------------------- 318.6 16 318.6 14 244.3 2 203.8 12 40.6 2 200 or more --------------------------------- 327.5 18 327.5 16 253.2 2 203.8 14 49.4 2 

Not in place ---------------------------- 8 955.5 ...........................

OUTSIDE METROPOLITAN AREA

Total-------------------------------- 187 284.1 313 976.8 291 747.8 ... ... 291 747.8 22 

In place ------------------------------- 976.8 313 976.8 291 747.8 ... ... 291 747.8 22 

Place ofm

1,000,000 or more ---------------------------- – –––– ............ – 500,000 to 999,999 --------------------------- – –––– ............ – 250,000 to 499,999 --------------------------- – –––– ............ – 100,000 to 249,999 4 --------------------------- .4 – 4.4 – 4.4 ............ – 50,000 to 99,999 ----------------------------- – –––– ............ – 25,000 to 49,999 ----------------------------- – –––– ... ... –––10,000 to 24,999 183 ----------------------------- .5 8 183.5 8 183.5 ... ... 8 183.5 – 5,000 to 9,999 29 ------------------------------- .8 4 29.8 3 26.5 ... ... 3 26.5 12,500 to 4,999 51 ------------------------------- .0 9 51.0 8 45.8 ... ... 8 45.8 12,000 to 2,499 36 ------------------------------- .9 6 36.9 5 25.9 ... ... 5 25.9 1 1,500 to 1,999 72 ------------------------------- .5 11 72.5 9 39.9 ... ... 9 39.9 2 1,000 to 1,499 86 ------------------------------- .5 20 86.5 18 58.0 ... ... 18 58.0 2 500 to 999 169 ---------------------------------- .1 59 169.1 53 115.0 ... ... 53 115.0 6 200 to 499 175 ---------------------------------- .7 72 175.7 67 104.5 ... ... 67 104.5 5 Less than 200 167 -------------------------------- .4 124 167.4 120 144.2 ... ... 120 144.2 4 

Cumulative summary:

Place ofm

1,000,000 or more ---------------------------- – –––– ............ – 500,000 or more ------------------------------ – –––– ............ – 250,000 or more ------------------------------ – –––– ............ – 100,000 or more ------------------------------ 4.4 – 4.4 – 4.4 ............ – 50,000 or more ------------------------------- 4.4 – 4.4 – 4.4 ............ – 25,000 or more ------------------------------- 4.4 – 4.4 – 4.4 ... ... – 4.4 – 10,000 or more ------------------------------- 187.9 8 187.9 8 187.9 ... ... 8 187.9 – 5,000 or more -------------------------------- 217.7 12 217.7 11 214.4 ... ... 11 214.4 12,500 or more -------------------------------- 268.7 21 268.7 19 260.2 ... ... 19 260.2 22,000 or more -------------------------------- 305.6 27 305.6 24 286.1 ... ... 24 286.1 3 1,500 or more -------------------------------- 378.2 38 378.2 33 326.1 ... ... 33 326.1 5 1,000 or more -------------------------------- 464.7 58 464.7 51 384.1 ... ... 51 384.1 7 500 or more --------------------------------- 633.8 117 633.8 104 499.1 ... ... 104 499.1 13 200 or more --------------------------------- 809.4 189 809.4 171 603.6 ... ... 171 603.6 18 

Not in place ---------------------------- 186 307.2 ...........................

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 53
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 54

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 20. Land

Are

a in S

quare

Miles Insid

e

and

Outsid

e

M

etro

p

olitan Are

a

b

y

Size

of Place: 1990

[Place partly outside a metropolitan area is counted where larger part of population is located; land area, however, is tabulated where located. For definitions of terms and meanings of symbols, see text]StateInside Metropolitan AreaOutside Metropolitan Area

In place

Total Incorporated place

Total Central city of metropolitan area Other

T

All land area

Number of

places Land area

Number of

places Land area

Number of

places Land area

Number of

places Land area

Number of

places 

THE STATE

Total-------------------------------- 75 896.0 334 505.0 310 387.9 2 78.7 308 309.2 24 

In place ------------------------------- 505.0 334 505.0 310 387.9 2 78.7 308 309.2 24 

Place ofm

1,000,000 or more ---------------------------- – –––––––––500,000 to 999,999 --------------------------- – –––––––––250,000 to 499,999 --------------------------- – –––––––––100,000 to 249,999 45 --------------------------- .1 1 45.1 1 45.1 1 43.3 – 1.7 –50,000 to 99,999 35 ----------------------------- .3 1 35.3 1 35.3 1 35.3 –––25,000 to 49,999 ----------------------------- – –––––––––10,000 to 24,999 70 ----------------------------- .8 8 70.8 8 70.8 – – 8 70.8 –5,000 to 9,999 22 ------------------------------- .7 5 22.7 3 10.2 ... ... 3 10.2 2 2,500 to 4,999 26 ------------------------------- .1 11 26.1 10 24.0 ... ... 10 24.0 12,000 to 2,499 15 ------------------------------- .9 7 15.9 6 11.7 ... ... 6 11.7 11,500 to 1,999 45 ------------------------------- .5 12 45.5 9 15.4 ... ... 9 15.4 3 1,000 to 1,499 34 ------------------------------- .4 21 34.4 19 23.4 ... ... 19 23.4 2 500 to 999 71 ---------------------------------- .9 67 71.9 61 51.1 ... ... 61 51.1 6 200 to 499 71 ---------------------------------- .2 74 71.2 69 43.8 ... ... 69 43.8 5 Less than 200 66 -------------------------------- .0 127 66.0 123 57.0 ... ... 123 57.0 4

Cumulative summary: Place ofm

1,000,000 or more ---------------------------- – –––––––––500,000 or more ------------------------------ – –––––––––250,000 or more ------------------------------ – –––––––––100,000 or more ------------------------------ 45.1 1 45.1 1 45.1 1 43.3 – 1.7 –50,000 or more ------------------------------- 80.4 2 80.4 2 80.4 2 78.7 – 1.7 –25,000 or more ------------------------------- 80.4 2 80.4 2 80.4 2 78.7 – 1.7 –10,000 or more ------------------------------- 151.2 10 151.2 10 151.2 2 78.7 8 72.5 –5,000 or more -------------------------------- 173.9 15 173.9 13 161.5 2 78.7 11 82.8 2 2,500 or more -------------------------------- 199.9 26 199.9 23 185.5 2 78.7 21 106.8 3 2,000 or more -------------------------------- 215.9 33 215.9 29 197.2 2 78.7 27 118.5 4 1,500 or more -------------------------------- 261.4 45 261.4 38 212.6 2 78.7 36 133.9 7 1,000 or more -------------------------------- 295.8 66 295.8 57 236.0 2 78.7 55 157.3 9 500 or more --------------------------------- 367.7 133 367.7 118 287.0 2 78.7 116 208.4 15 200 or more --------------------------------- 439.0 207 439.0 187 330.8 2 78.7 185 252.1 20 

Not in place ---------------------------- 75 391.0 ...........................

INSIDE METROPOLITAN AREA

Total-------------------------------- 3 585.5 21 127.8 19 99.1 2 78.7 17 20.5 2 

In place ------------------------------- 127.8 21 127.8 19 99.1 2 78.7 17 20.5 2 

Place ofm

1,000,000 or more ---------------------------- – –––––––––500,000 to 999,999 --------------------------- – –––––––––250,000 to 499,999 --------------------------- – –––––––––100,000 to 249,999 43 --------------------------- .3 1 43.3 1 43.3 1 43.3 –––50,000 to 99,999 35 ----------------------------- .3 1 35.3 1 35.3 1 35.3 –––25,000 to 49,999 ----------------------------- – –––––––––10,000 to 24,999 ----------------------------- – –––––––––5,000 to 9,999 11 ------------------------------- .2 1 11.2 – – ... ... – – 1 2,500 to 4,999 6 ------------------------------- .4 2 6.4 26.4 ... ... 2 6.4 – 2,000 to 2,499 1 ------------------------------- .7 1 1.7 11.7 ... ... 1 1.7 – 1,500 to 1,999 17 ------------------------------- .5 1 17.5 – – ... ... – – 1 1,000 to 1,499 1 ------------------------------- .0 1 1.0 11.0 ... ... 1 1.0 – 500 to 999 6 ---------------------------------- .7 8 6.7 86.7 ... ... 8 6.7 – 200 to 499 3 ---------------------------------- .4 2 3.4 23.4 ... ... 2 3.4 – Less than 200 1 -------------------------------- .4 3 1.4 31.4 ... ... 3 1.4 – 

54 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 55

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 20. Land

Are

a in S

quare

Miles Insid

e

and

Outsid

e

M

etro

p

olitan Are

a

b

y

Size

of Place: 1990

mCon.

[Place partly outside a metropolitan area is counted where larger part of population is located; land area, however, is tabulated where located. For definitions of terms and meanings of symbols, see text]StateInside Metropolitan AreaOutside Metropolitan Area

In place

Total Incorporated place

Total Central city of metropolitan area Other

T

All land area

Number of

places Land area

Number of

places Land area

Number of

places Land area

Number of

places Land area

Number of

places 

INSIDE METROPOLITAN AREAmCon.

Cumulative summary: Place ofm

1,000,000 or more ---------------------------- – –––––––––500,000 or more ------------------------------ – –––––––––250,000 or more ------------------------------ – –––––––––100,000 or more ------------------------------ 43.3 1 43.3 1 43.3 1 43.3 –––50,000 or more ------------------------------- 78.7 2 78.7 2 78.7 2 78.7 –––25,000 or more ------------------------------- 78.7 2 78.7 2 78.7 2 78.7 –––10,000 or more ------------------------------- 78.7 2 78.7 2 78.7 2 78.7 –––5,000 or more -------------------------------- 89.8 3 89.8 2 78.7 2 78.7 – – 1 2,500 or more -------------------------------- 96.2 5 96.2 4 85.0 2 78.7 26.4 1 2,000 or more -------------------------------- 97.9 6 97.9 5 86.7 2 78.7 38.0 1 1,500 or more -------------------------------- 115.4 7 115.4 5 86.7 2 78.7 38.0 2 1,000 or more -------------------------------- 116.4 8 116.4 6 87.7 2 78.7 49.0 2 500 or more --------------------------------- 123.0 16 123.0 14 94.3 2 78.7 12 15.7 2 200 or more --------------------------------- 126.4 18 126.4 16 97.8 2 78.7 14 19.1 2 

Not in place ---------------------------- 3 457.7 ...........................

OUTSIDE METROPOLITAN AREA

Total-------------------------------- 72 310.4 313 377.2 291 288.7 ... ... 291 288.7 22 

In place ------------------------------- 377.2 313 377.2 291 288.7 ... ... 291 288.7 22 

Place ofm

1,000,000 or more ---------------------------- – –––– ............ – 500,000 to 999,999 --------------------------- – –––– ............ – 250,000 to 499,999 --------------------------- – –––– ............ – 100,000 to 249,999 1 --------------------------- .7 – 1.7 – 1.7 ............ – 50,000 to 99,999 ----------------------------- – –––– ............ – 25,000 to 49,999 ----------------------------- – –––– ... ... –––10,000 to 24,999 70 ----------------------------- .8 8 70.8 8 70.8 ... ... 8 70.8 – 5,000 to 9,999 11 ------------------------------- .5 4 11.5 3 10.2 ... ... 3 10.2 12,500 to 4,999 19 ------------------------------- .7 9 19.7 8 17.7 ... ... 8 17.7 12,000 to 2,499 14 ------------------------------- .3 6 14.3 5 10.0 ... ... 5 10.0 11,500 to 1,999 28 ------------------------------- .0 11 28.0 9 15.4 ... ... 9 15.4 2 1,000 to 1,499 33 ------------------------------- .4 20 33.4 18 22.4 ... ... 18 22.4 2 500 to 999 65 ---------------------------------- .3 59 65.3 53 44.4 ... ... 53 44.4 6 200 to 499 67 ---------------------------------- .8 72 67.8 67 40.3 ... ... 67 40.3 5 Less than 200 64 -------------------------------- .6 124 64.6 120 55.7 ... ... 120 55.7 4

Cumulative summary: Place ofm

1,000,000 or more ---------------------------- – –––– ............ – 500,000 or more ------------------------------ – –––– ............ – 250,000 or more ------------------------------ – –––– ............ – 100,000 or more ------------------------------ 1.7 – 1.7 – 1.7 ............ – 50,000 or more ------------------------------- 1.7 – 1.7 – 1.7 ............ – 25,000 or more ------------------------------- 1.7 – 1.7 – 1.7 ... ... – 1.7 – 10,000 or more ------------------------------- 72.5 8 72.5 8 72.5 ... ... 8 72.5 – 5,000 or more -------------------------------- 84.0 12 84.0 11 82.8 ... ... 11 82.8 12,500 or more -------------------------------- 103.7 21 103.7 19 100.5 ... ... 19 100.5 22,000 or more -------------------------------- 118.0 27 118.0 24 110.5 ... ... 24 110.5 31,500 or more -------------------------------- 146.0 38 146.0 33 125.9 ... ... 33 125.9 5 1,000 or more -------------------------------- 179.4 58 179.4 51 148.3 ... ... 51 148.3 7 500 or more --------------------------------- 244.7 117 244.7 104 192.7 ... ... 104 192.7 13 200 or more --------------------------------- 312.5 189 312.5 171 233.1 ... ... 171 233.1 18 

Not in place ---------------------------- 71 933.3 ...........................

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 55
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 56

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 21. P

o

pulation and

H

ousing

Units 1970 to 1990; Land

Area and

D

ensity for M

etro

p

olitan Are

a: 1990

[For information concerning historical counts, see " User Notes." MA’s are as defined for the 1990 census. Counts relate to component parts as defined at each census. Density is computed using land area. For definitions of terms aMetropolitan Area

Population Housing units 1990 area measurements

Total area Land area

1990 1980 1970 1990 1980 1970 Square kilometers Square miles Square kilometers Square miles 

Rapid City, SD MSAThe area--------------------------------------- 81 343 70 361 59 349 33 741 28 217 20 021 7 211.8 2 784.5 7 190.8 2 776.4 

In central city --------------------------------- 54 523 46 492 43 836 22 530 18 713 14 500 91.7 35.4 91.5 35.3 

Rapid City city ------------------------------ 54 523 46 492 43 836 22 530 18 713 14 500 91.7 35.4 91.5 35.3 

Not in central city------------------------------ 26 820 23 869 15 513 11 211 9 504 5 521 7 120.1 2 749.1 7 099.3 2 741.0 

Pennington County ------------------------------- 81 343 70 361 59 349 33 741 28 217 20 021 7 211.8 2 784.5 7 190.8 2 776.4 Sioux Falls, SD MSAThe area--------------------------------------- 123 809 109 435 95 209 49 780 42 680 30 386 2 107.6 813.7 2 095.8 809.2 

In central city --------------------------------- 99 405 81 182 72 488 41 095 32 910 23 544 112.3 43.4 112.3 43.3 

Sioux Falls city (pt.) -------------------------- 99 405 81 182 72 488 41 095 32 910 23 544 112.3 43.4 112.3 43.3 

Not in central city------------------------------ 24 404 28 253 22 721 8 685 9 770 6 842 1 995.3 770.4 1 983.5 765.8 

Minnehaha County ------------------------------- 123 809 109 435 95 209 49 780 42 680 30 386 2 107.6 813.7 2 095.8 809.2 

56 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 57

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 22. P

o

pulation, H

ousing

Units, and Land

Are

a for M

etro

p

olitan Are

a

b

y

P

o

pulation Size

Class

of M

etro

p

olitan A

[MA’s are as defined for the 1990 census. For definitions of terms and meanings of symbols, see text]Urban and RuralPopulation Size Class of

Metropolitan Area

Metropolitan Area

Urban

Inside urbanized area Outside urbanized area

Total Total Total In central place Urban fringe Total Place of 10,000

or more

Place of 2,500 to

9,999 

POPULATION

The State ---------------------------------- 696 004 347 903 163 986 155 337 8 649 183 917 120 678 63 239 

Inside metropolitan area --------------------------- 205 152 169 468 160 558 153 928 6 630 8 910 – 8 910 

In central city --------------------------- 153 928 153 928 153 928 153 928 – – – – Not in central city------------------------ 51 224 15 540 6 630 – 6 630 8 910 – 8 910 

1,000,000 or more ---------------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

5,000,000 or more -------------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

2,500,000 to 4,999,999---------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

1,000,000 to 2,499,999---------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

Less than 1,000,000 205 152 --------------------------- 169 468 160 558 153 928 6 630 8 910 – 8 910 

In central city --------------------------- 153 928 153 928 153 928 153 928 – – – – Not in central city------------------------ 51 224 15 540 6 630 – 6 630 8 910 – 8 910 

500,000 to 999,999 ------------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

250,000 to 499,999 ------------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

100,000 to 249,999 123 809 ------------------------- 102 977 99 434 99 405 29 3 543 – 3 543 

In central city --------------------------- 99 405 99 405 99 405 99 405 – – – – Not in central city------------------------ 24 404 3 572 29 – 29 3 543 – 3 543 

Sioux Falls, SD MSA------------------------ 123 809 102 977 99 434 99 405 29 3 543 – 3 543 

In central city --------------------------- 99 405 99 405 99 405 99 405 – – – – Not in central city------------------------ 24 404 3 572 29 – 29 3 543 – 3 543 

Less than 100,000 81 343 --------------------------- 66 491 61 124 54 523 6 601 5 367 – 5 367 

In central city --------------------------- 54 523 54 523 54 523 54 523 – – – – Not in central city------------------------ 26 820 11 968 6 601 – 6 601 5 367 – 5 367 

Rapid City, SD MSA ------------------------ 81 343 66 491 61 124 54 523 6 601 5 367 – 5 367 

In central city --------------------------- 54 523 54 523 54 523 54 523 – – – – Not in central city------------------------ 26 820 11 968 6 601 – 6 601 5 367 – 5 367 

Outside metropolitan area-------------------------- 490 852 178 435 3 428 1 409 2 019 175 007 120 678 54 329 HOUSING UNITS

The State ---------------------------------- 292 436 142 947 67 244 64 098 3 146 75 703 50 041 25 662 

Inside metropolitan area --------------------------- 83 521 69 190 65 976 63 625 2 351 3 214 – 3 214 

In central city --------------------------- 63 625 63 625 63 625 63 625 – – – – Not in central city------------------------ 19 896 5 565 2 351 – 2 351 3 214 – 3 214 

1,000,000 or more ---------------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

5,000,000 or more -------------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

2,500,000 to 4,999,999---------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

1,000,000 to 2,499,999---------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

Less than 1,000,000 83 521 --------------------------- 69 190 65 976 63 625 2 351 3 214 – 3 214 

In central city --------------------------- 63 625 63 625 63 625 63 625 – – – – Not in central city------------------------ 19 896 5 565 2 351 – 2 351 3 214 – 3 214 

500,000 to 999,999 ------------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

250,000 to 499,999 ------------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

100,000 to 249,999 49 780 ------------------------- 42 251 41 108 41 095 13 1 143 – 1 143 

In central city --------------------------- 41 095 41 095 41 095 41 095 – – – – Not in central city------------------------ 8 685 1 156 13 – 13 1 143 – 1 143 

Sioux Falls, SD MSA------------------------ 49 780 42 251 41 108 41 095 13 1 143 – 1 143 

In central city --------------------------- 41 095 41 095 41 095 41 095 – – – – Not in central city------------------------ 8 685 1 156 13 – 13 1 143 – 1 143 

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 57
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 58

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 22. P

o

pulation, H

ousing

Units, and Land

Are

a for M

etro

p

olitan Are

a

b

y

P

o

pulation Size

Class

of M

etro

p

olitan A

[MA’s are as defined for the 1990 census. For definitions of terms and meanings of symbols, see text]Urban and RuralPopulation Size Class of

Metropolitan Area

Metropolitan Area

Urban

Inside urbanized area Outside urbanized area

Total Total Total In central place Urban fringe Total Place of 10,000

or more

Place of 2,500 to

9,999 

HOUSING UNITSmCon.Inside metropolitan areamCon.

Less than 1,000,000mCon.

Less than 100,000 33 741 --------------------------- 26 939 24 868 22 530 2 338 2 071 – 2 071 

In central city --------------------------- 22 530 22 530 22 530 22 530 – – – – Not in central city------------------------ 11 211 4 409 2 338 – 2 338 2 071 – 2 071 

Rapid City, SD MSA ------------------------ 33 741 26 939 24 868 22 530 2 338 2 071 – 2 071 

In central city --------------------------- 22 530 22 530 22 530 22 530 – – – – Not in central city------------------------ 11 211 4 409 2 338 – 2 338 2 071 – 2 071 

Outside metropolitan area-------------------------- 208 915 73 757 1 268 473 795 72 489 50 041 22 448 LAND AREA IN SQUARE KILOMETERS

The State ---------------------------------- 196 570.6 525.7 243.4 208.2 35.1 282.3 183.5 98.9 19

Inside metropolitan area --------------------------- 9 286.6 251.3 233.3 203.8 29.5 18.1 – 18.1 

In central city --------------------------- 203.8 203.8 203.8 203.8 – – – – Not in central city------------------------ 9 082.8 47.5 29.5 – 29.5 18.1 – 18.1 

1,000,000 or more ---------------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

5,000,000 or more -------------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

2,500,000 to 4,999,999---------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

1,000,000 to 2,499,999---------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

Less than 1,000,000 9 286 --------------------------- .6 251.3 233.3 203.8 29.5 18.1 – 18.1 

In central city --------------------------- 203.8 203.8 203.8 203.8 – – – – Not in central city------------------------ 9 082.8 47.5 29.5 – 29.5 18.1 – 18.1 

500,000 to 999,999 ------------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

250,000 to 499,999 ------------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

100,000 to 249,999 2 095 ------------------------- .8 120.0 112.4 112.3 .1 7.6 – 7.6 

In central city --------------------------- 112.3 112.3 112.3 112.3 – – – – Not in central city------------------------ 1 983.5 7.7 .1 – .1 7.6 – 7.6 

Sioux Falls, SD MSA------------------------ 2 095.8 120.0 112.4 112.3 .1 7.6 – 7.6 

In central city --------------------------- 112.3 112.3 112.3 112.3 – – – – Not in central city------------------------ 1 983.5 7.7 .1 – .1 7.6 – 7.6 

Less than 100,000 7 190 --------------------------- .8 131.3 120.9 91.5 29.4 10.4 – 10.4 

In central city --------------------------- 91.5 91.5 91.5 91.5 – – – – Not in central city------------------------ 7 099.3 39.8 29.4 – 29.4 10.4 – 10.4 

Rapid City, SD MSA ------------------------ 7 190.8 131.3 120.9 91.5 29.4 10.4 – 10.4 

In central city --------------------------- 91.5 91.5 91.5 91.5 – – – – Not in central city------------------------ 7 099.3 39.8 29.4 – 29.4 10.4 – 10.4 

Outside metropolitan area-------------------------- 187 284.1 274.4 10.1 4.4 5.7 264.3 183.5 80.8 18LAND AREA IN SQUARE MILES

The State ---------------------------------- 75 896.0 203.0 94.0 80.4 13.6 109.0 70.8 38.2 7

Inside metropolitan area --------------------------- 3 585.5 97.0 90.1 78.7 11.4 7.0 – 7.0 

In central city --------------------------- 78.7 78.7 78.7 78.7 – – – – Not in central city------------------------ 3 506.9 18.3 11.4 – 11.4 7.0 – 7.0 

1,000,000 or more ---------------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

5,000,000 or more -------------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

2,500,000 to 4,999,999---------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

1,000,000 to 2,499,999---------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

58 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 59

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Table 22. P

o

pulation, H

ousing

Units, and Land

Are

a for M

etro

p

olitan Are

a

b

y

P

o

pulation Size

Class

of M

etro

p

olitan A

[MA’s are as defined for the 1990 census. For definitions of terms and meanings of symbols, see text]Urban and RuralPopulation Size Class of

Metropolitan Area

Metropolitan Area

Urban

Inside urbanized area Outside urbanized area

Total Total Total In central place Urban fringe Total Place of 10,000

or more

Place of 2,500 to

9,999 

LAND AREA IN SQUARE MILESmCon.Inside metropolitan areamCon.

Less than 1,000,000 3 585 --------------------------- .5 97.0 90.1 78.7 11.4 7.0 – 7.0 

In central city --------------------------- 78.7 78.7 78.7 78.7 – – – – Not in central city------------------------ 3 506.9 18.3 11.4 – 11.4 7.0 – 7.0 

500,000 to 999,999 ------------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

250,000 to 499,999 ------------------------- – – – – – – – – 

In central city --------------------------- – – – – – – – – Not in central city------------------------ – – – – – – – – 

100,000 to 249,999 809 ------------------------- .2 46.3 43.4 43.3 – 2.9 – 2.9 

In central city --------------------------- 43.3 43.3 43.3 43.3 – – – – Not in central city------------------------ 765.8 3.0 ––– 2.9 – 2.9 

Sioux Falls, SD MSA------------------------ 809.2 46.3 43.4 43.3 – 2.9 – 2.9 

In central city --------------------------- 43.3 43.3 43.3 43.3 – – – – Not in central city------------------------ 765.8 3.0 ––– 2.9 – 2.9 

Less than 100,000 2 776 --------------------------- .4 50.7 46.7 35.3 11.3 4.0 – 4.0 

In central city --------------------------- 35.3 35.3 35.3 35.3 – – – – Not in central city------------------------ 2 741.0 15.4 11.3 – 11.3 4.0 – 4.0 

Rapid City, SD MSA ------------------------ 2 776.4 50.7 46.7 35.3 11.3 4.0 – 4.0 

In central city --------------------------- 35.3 35.3 35.3 35.3 – – – – Not in central city------------------------ 2 741.0 15.4 11.3 – 11.3 4.0 – 4.0 

Outside metropolitan area-------------------------- 72 310.4 105.9 3.9 1.7 2.2 102.0 70.8 31.2 7

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 59
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 60

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 23. P

o

pulation, H

ousing

Units, and Land

Are

a for Urb

anize

d

Are

a: 1990

[Density is computed using land area. For definitions of terms and meanings of symbols, see text]Urbanized Area

Area measurements

Total area Land area

Population 

Population Housing units Square kilometers Square miles Square kilometers Square miles Square kilometer 

Rapid City, SDThe area--------------------------------------- 61 124 24 868 121.0 46.7 120.9 46.7 505.6 

In central place -------------------------------- 54 523 22 530 91.7 35.4 91.5 35.3 595.9 

Rapid City city† ----------------------------- 54 523 22 530 91.7 35.4 91.5 35.3 595.9 

Urban fringe ---------------------------------- 6 601 2 338 29.4 11.3 29.4 11.3 224.5 

Pennington County (pt.)† -------------------------- 61 124 24 868 121.0 46.7 120.9 46.7 505.6 

Central Pennington unorg. (pt.)-------------------- 6 601 2 338 29.4 11.3 29.4 11.3 224.5 

Rapid Valley CDP ---------------------------- 5 968 2 094 27.3 10.5 27.3 10.5 218.6 

Rapid City city† ------------------------------- 54 523 22 530 91.7 35.4 91.5 35.3 595.9 

Sioux City, IA--NE--SD (pt.)The area--------------------------------------- 2 019 795 5.7 2.2 5.7 2.2 354.2 

In central place -------------------------------- – ––––––Urban fringe ---------------------------------- 2 019 795 5.7 2.2 5.7 2.2 354.2 

Union County (pt.)† ------------------------------ 2 019 795 5.7 2.2 5.7 2.2 354.2 

Big Sioux township (pt.)------------------------- – – .3 .1 .3 .1 –North Sioux City city†--------------------------- 2 019 795 5.4 2.1 5.4 2.1 373.9 

Sioux Falls, SDThe area--------------------------------------- 100 843 41 581 116.9 45.1 116.8 45.1 863.4 

In central place -------------------------------- 100 814 41 568 116.7 45.1 116.7 45.1 863.9 

Sioux Falls city† ----------------------------- 100 814 41 568 116.7 45.1 116.7 45.1 863.9 

Urban fringe ---------------------------------- 29 13 .1 – .1 – 290.0 

Lincoln County (pt.)† ----------------------------- 1 409 473 4.4 1.7 4.4 1.7 320.2 

Sioux Falls city (pt.)†--------------------------- 1 409 473 4.4 1.7 4.4 1.7 320.2 

Minnehaha County (pt.)† -------------------------- 99 434 41 108 112.4 43.4 112.4 43.4 884.6 

Mapleton township (pt.) ------------------------- 4 4 –––––

Sioux Falls city (pt.)†--------------------------- 99 405 41 095 112.3 43.4 112.3 43.3 885.2 Split Rock township (pt.)† – ----------------------- ––––––Wayne township (pt.)--------------------------- 25 9 .1 – .1 – 250.0 

60 SOUTH DAKOTA POPULATION AND HOUSING UNIT COUNTS
TIPSII [UPF] GPH246 CENSUS90 71580800 01/ 29/ 93 8:40 AM MACHINE: C DATA:CENSUS90*PH2TIPSDA46. 01/ 08/ 93 12:06:41 TAPE: NONE FRAME: 61

TSF:CENSUS90*92. 01/ 08/ 93 12:07:10 UTF:CENSUS90*93. 01/ 08/ 93 12:07:10 META:CENSUS90*PH2TABLES46. 01/ 08/ 93 12:09:41

Table 24. P

o

pulation, H

ousing

Units, and Land

Are

a for Urb

anize

d

Are

a

b

y

P

o

pulation Size

Class

of Urb

anize

d

Are

a: 

[For definitions of terms and meanings of symbols, see text]Size of PlacePopulation Size Class of Urbanized

Area

Urbanized Area

Inside urbanized area

Urban fringe

Total In central place Total Place of 50,000

or more

Place of 10,000

to 49,999

Place of 2,500 to

9,999

Place of less than

2,500 Other urban 

POPULATION The State ---------------------------------- 163 986 155 337 8 649 – – 5 968 2 019 662 Inside urbanized area ----------------------------- 163 986 155 337 8 649 – – 5 968 2 019 662 

1,000,000 or more ---------------------------- – – – – – – – – 

5,000,000 or more -------------------------- – – – – – – – – 2,500,000 to 4,999,999---------------------- – – – – – – – – 1,000,000 to 2,499,999---------------------- – – – – – – – – 

Less than 1,000,000 163 986 --------------------------- 155 337 8 649 – – 5 968 2 019 662 

500,000 to 999,999 ------------------------- – – – – – – – – 

250,000 to 499,999 ------------------------- – – – – – – – – 100,000 to 249,999 100 843 ------------------------- 100 814 29 –––– 29 

Sioux Falls, SD ---------------------------- 100 843 100 814 29 –––– 29 

Less than 100,000 63 143 --------------------------- 54 523 8 620 – – 5 968 2 019 633 

Rapid City, SD ---------------------------- 61 124 54 523 6 601 – – 5 968 – 633 Sioux City, IA--NE--SD (pt.)------------------- 2 019 – 2 019 ––– 2 019 – 

Outside urbanized area ----------------------------

... ..................... 

HOUSING UNITS

The State ---------------------------------- 67 244 64 098 3 146 – – 2 094 795 257 

Inside urbanized area ----------------------------- 67 244 64 098 3 146 – – 2 094 795 257 

1,000,000 or more ---------------------------- – – – – – – – – 

5,000,000 or more -------------------------- – – – – – – – – 2,500,000 to 4,999,999---------------------- – – – – – – – – 1,000,000 to 2,499,999---------------------- – – – – – – – – 

Less than 1,000,000 67 244 --------------------------- 64 098 3 146 – – 2 094 795 257 

500,000 to 999,999 ------------------------- – – – – – – – – 

250,000 to 499,999 ------------------------- – – – – – – – – 100,000 to 249,999 41 581 ------------------------- 41 568 13 –––– 13 

Sioux Falls, SD ---------------------------- 41 581 41 568 13 –––– 13 

Less than 100,000 25 663 --------------------------- 22 530 3 133 – – 2 094 795 244 

Rapid City, SD ---------------------------- 24 868 22 530 2 338 – – 2 094 – 244 Sioux City, IA--NE--SD (pt.)------------------- 795 – 795 ––– 795 – 

Outside urbanized area ----------------------------

... ..................... 

LAND AREA IN SQUARE KILOMETERS

The State ---------------------------------- 243.4 208.2 35.1 – – 27.3 5.4 2.5 

Inside urbanized area ----------------------------- 243.4 208.2 35.1 – – 27.3 5.4 2.5 

1,000,000 or more ---------------------------- – – – – – – – – 

5,000,000 or more -------------------------- – – – – – – – – 2,500,000 to 4,999,999---------------------- – – – – – – – – 1,000,000 to 2,499,999---------------------- – – – – – – – – 

Less than 1,000,000 243 --------------------------- .4 208.2 35.1 – – 27.3 5.4 2.5 

500,000 to 999,999 ------------------------- – – – – – – – – 

250,000 to 499,999 ------------------------- – – – – – – – – 100,000 to 249,999 116 ------------------------- .8 116.7 .1 –––– .1 

Sioux Falls, SD ---------------------------- 116.8 116.7 .1 –––– .1 

Less than 100,000 126 --------------------------- .6 91.5 35.0 – – 27.3 5.4 2.4 

Rapid City, SD ---------------------------- 120.9 91.5 29.4 – – 27.3 – 2.1 Sioux City, IA--NE--SD (pt.)------------------- 5.7 – 5.7 ––– 5.4 .3 

Outside urbanized area ----------------------------

... ..................... 

LAND AREA IN SQUARE MILES

The State ---------------------------------- 94.0 80.4 13.6 – – 10.5 2.1 1.0 

Inside urbanized area ----------------------------- 94.0 80.4 13.6 – – 10.5 2.1 1.0 

1,000,000 or more ---------------------------- – – – – – – – – 

5,000,000 or more -------------------------- – – – – – – – – 2,500,000 to 4,999,999---------------------- – – – – – – – – 1,000,000 to 2,499,999---------------------- – – – – – – – – 

Less than 1,000,000 94 --------------------------- .0 80.4 13.6 – – 10.5 2.1 1.0 

500,000 to 999,999 ------------------------- – – – – – – – – 

250,000 to 499,999 ------------------------- – – – – – – – – 100,000 to 249,999 45 ------------------------- .1 45.1 –––––– 

Sioux Falls, SD ---------------------------- 45.1 45.1 –––––– 

Less than 100,000 48 --------------------------- .9 35.3 13.5 – – 10.5 2.1 .9 

Rapid City, SD ---------------------------- 46.7 35.3 11.3 – – 10.5 – .8 Sioux City, IA--NE--SD (pt.)------------------- 2.2 – 2.2 ––– 2.1 .1 

Outside urbanized area ----------------------------

... ..................... 

POPULATION AND HOUSING UNIT COUNTS SOUTH DAKOTA 61
 JOBNAME: No Job Name PAGE: 1 SESS: 68 OUTPUT: Wed Apr 22 13:24:37 1992 / node2/ F main F / 90dec/ all/ usst/ appa

APPENDIX A.

Area Classifications

CONTENTS

Alaska Native Regional Corporation (ANRC) (See American

Indian and Alaska Native Area)

Alaska Native Village (ANV) (See American Indian and Alaska

Native Area)

Alaska Native Village Statistical Area (See American Indian

and Alaska Native Area)

American Indian and Alaska Native Area -------------------- A–1

American Indian Reservation (See American Indian and Alaska

Native Area, see County Subdivision)

American Indian Reservation and Trust Land (See American

Indian and Alaska Native Area)

American Samoa (See Outlying Areas of the United States, see

State)

Area Measurement----------------------------------------- A–3

Assessment District (See County Subdivision)

Block ----------------------------------------------------- A–3

Block Group (BG) ----------------------------------------- A–4

Block Numbering Area (BNA) (See Census Tract and Block

Numbering Area)

Borough (See County Subdivision, see Place)

Borough and Census Area (Alaska) (See County)

Boundary Changes ---------------------------------------- A–4

Census Area (Alaska) (See County)

Census Block (See Block)

Census Code (See Geographic Code)

Census County Division (CCD) (See County Subdivision)

Census Designated Place (CDP) (See Place)

Census Division (See Census Region and Census Division)

Census Geographic Code (See Geographic Code)

Census Region and Census Division ----------------------- A–4

Census Subarea (Alaska) (See County Subdivision)

Census Tract and Block Numbering Area ------------------- A–5

Central City (See Metropolitan Area)

Central Place (See Urbanized Area)

City (See Place)

Congressional District (CD) -------------------------------- A–6

Consolidated City (See Place)

Consolidated Metropolitan Statistical Area (CMSA) (See

Metropolitan Area)

County --------------------------------------------------- A–6

County Subdivision ---------------------------------------- A–6

Crews of Vessels (See Area Measurement, see Block, see

Census Tract and Block Numbering Area)

Division (See Census Region and Division, see County Subdivision)

Election District (See County Subdivision, see Voting District)

Extended City (See Urban and Rural)

Farm (See Urban and Rural)

Federal Information Processing Standards (FIPS) Code

(See Geographic Code)

Geographic Block Group (See Block Group)

Geographic Code ----------------------------------------- A–7

Geographic Presentation ---------------------------------- A–7

Gore (See County Subdivision)

Grant (See County Subdivision)

Guam (See Outlying Areas of the United States, see State)

Hierarchical Presentation (See Geographic Presentation)

Historic Areas of Oklahoma (See American Indian and

Alaska Native Area, Tribal Jurisdiction Statistical Area)

Historical Counts ------------------------------------------ A–8

Incorporated Place (See Place)

Independent City (See County)

Internal Point --------------------------------------------- A–8

Inventory Presentation (See Geographic Presentation)

Land Area (See Area Measurement)

Latitude (See Internal Point)

Longitude (See Internal Point)

Magisterial District (See County Subdivision)

Metropolitan Area (MA) ---------------------------------- A–8

Metropolitan Statistical Area (MSA) (See Metropolitan Area)

Minor Civil Division (MCD) (See County Subdivision)

Northern Mariana Islands (See Outlying Areas of the United

States, see State)

Outlying Areas of the United States ----------------------- A–9

Palau (See Outlying Areas of the United States, see State)

Parish (Louisiana) (See County)

Parish Governing Authority District (See County Subdivision)

Place ---------------------------------------------------- A–9

Plantation (See County Subdivision)

Population or Housing Unit Density ----------------------- A–10

Precinct (See County Subdivision, see Voting District)

Primary Metropolitan Statistical Area (PMSA) (See

Metropolitan Area)

Puerto Rico (See Outlying Areas of the United States, see State)

Purchase (See County Subdivision)

Region (See Census Region and Census Division)

Rural (See Urban and Rural)

Selected States (See County Subdivision, see State)

State ---------------------------------------------------- A–11

Supervisors’ District (See County Subdivision)

Tabulation Block Group (See Block Group)

TIGER --------------------------------------------------- A–11

Town (See County Subdivision, see Place)

Township (See County Subdivision)

Tract (See Census Tract and Block Numbering Area)

Tribal Designated Statistical Area (TDSA) (See American

Indian and Alaska Native Area)

Tribal Jurisdiction Statistical Area (TJSA) (See American

Indian and Alaska Native Area)

Trust Land (See American Indian and Alaska Native Area)

United States -------------------------------------------- A–11

Unorganized Territory (unorg.) (See County Subdivision)

Urban and Rural ----------------------------------------- A–11

Urbanized Area (UA) ------------------------------------- A–12

Village (See Place)

Virgin Islands (See Outlying Areas of the United States, see State)

Voting District (VTD) ------------------------------------- A–12

Water Area (See Area Measurement)

ZIP Code

----------------------------------------------- A–13

These definitions are for all geographic entities and

concepts that the Census Bureau will include in its standard 1990 census data products. Not all entities and concepts are shown in any one 1990 census data product. For

a description of geographic areas included in each data

product, see appendix F.

AMERICAN INDIAN AND ALASKA NATIVE AREA

Alaska Native Regional Corporation (ANRC)

Alaska Native Regional Corporations (ANRC’s) are corporate entities established under the Alaska Native Claims

Settlement Act of 1972, Public Law 92-203, as amended

by Public Law 94-204, to conduct both business and

nonprofit affairs of Alaska Natives. Alaska is divided into

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12 ANRC’s that cover the entire State, except for the

Annette Islands Reserve. The boundaries of the 12 ANRC’s

were established by the Department of the Interior, in

cooperation with Alaska Natives. Each ANRC was designed

to include, as far as practicable, Alaska Natives with a

common heritage and common interests. The ANRC boundaries for the 1990 census were identified by the Bureau of

Land Management. A 13th region was established for

Alaska Natives who are not permanent residents and who

chose not to enroll in one of the 12 ANRC’s; no census

products are prepared for the 13th region. ANRC’s were

first identified for the 1980 census.

Each ANRC is assigned a two-digit census code ranging

from 07 through 84. These census codes are assigned in

alphabetical order of the ANRC’s.

Alaska Native Village (ANV) Statistical Area

Alaska Native villages (ANV’s) constitute tribes, bands,

clans, groups, villages, communities, or associations in

Alaska that are recognized pursuant to the Alaska Native

Claims Settlement Act of 1972, Public Law 92-203. Because

ANV’s do not have legally designated boundaries, the

Census Bureau has established Alaska Native village

statistical areas (ANVSA’s) for statistical purposes. For the

1990 census, the Census Bureau cooperated with officials

of the nonprofit corporation within each participating Alaska

Native Regional Corporation (ANRC), as well as other

knowledgeable officials, to delineate boundaries that encompass the settled area associated with each ANV. ANVSA’s

are located within ANRC’s and do not cross ANRC boundaries. ANVSA’s for the 1990 census replace the ANV’s

that the Census Bureau recognized for the 1980 census.

Each ANVSA is assigned a four-digit census code

ranging from 6001 through 8989. Each ANVSA also is

assigned a five-digit FIPS code. Both the census and FIPS

codes are assigned in alphabetical order of ANVSA’s.

American Indian Reservation and Trust Land

American Indian Reservation—Federal American Indian

reservations are areas with boundaries established by

treaty, statute, and/ or executive or court order, and recognized by the Federal Government as territory in which

American Indian tribes have jurisdiction. State reservations

are lands held in trust by State governments for the use

and benefit of a given tribe. The reservations and their

boundaries were identified for the 1990 census by the

Bureau of Indian Affairs (BIA), Department of Interior (for

Federal reservations), and State governments (for State

reservations). The names of American Indian reservations

recognized by State governments, but not by the Federal

Government, are followed by ‘‘(State).’’ Areas composed

of reservation lands that are administered jointly and/ or

are claimed by two reservations, as identified by the BIA,

are called ‘‘joint areas,’’ and are treated as separate

American Indian reservations for census purposes.

Federal reservations may cross State boundaries, and

Federal and State reservations may cross county, county

subdivision, and place boundaries. For reservations that

cross State boundaries, only the portion of the reservations in a given State are shown in the data products for

that State; the entire reservations are shown in data

products for the United States.

Each American Indian reservation is assigned a fourdigit census code ranging from 0001 through 4989. These

census codes are assigned in alphabetical order of American Indian reservations nationwide, except that joint areas

appear at the end of the code range. Each American Indian

reservation also is assigned a five-digit FIPS code; because

the FIPS codes are assigned in alphabetical sequence of

American Indian reservations within each State, the FIPS

code is different in each State for reservations in more

than one State.

Trust Land—Trust lands are property associated with a

particular American Indian reservation or tribe, held in trust

by the Federal Government. Trust lands may be held in

trust either for a tribe (tribal trust land) or for an individual

member of a tribe (individual trust land). Trust lands

recognized for the 1990 census comprise all tribal trust

lands and inhabited individual trust lands located outside

of a reservation boundary. As with other American Indian

areas, trust lands may be located in more than one State.

Only the trust lands in a given State are shown in the data

products for that State; all trust lands associated with a

reservation or tribe are shown in data products for the

United States. The Census Bureau first reported data for

tribal trust lands for the 1980 census.

Trust lands are assigned a four-digit census code and a

five-digit FIPS code, the same as that for the reservation

with which they are associated. Trust lands not associated

with a reservation are presented by tribal name, interspersed alphabetically among the reservations.

Tribal Designated Statistical Area (TDSA)

Tribal designated statistical areas (TDSA’s) are areas,

delineated outside Oklahoma by federally- and Staterecognized tribes without a land base or associated trust

lands, to provide statistical areas for which the Census

Bureau tabulates data. TDSA’s represent areas generally

containing the American Indian population over which

federally-recognized tribes have jurisdiction and areas in

which State tribes provide benefits and services to their

members. The names of TDSA’s delineated by Staterecognized tribes are followed by ‘‘(State).’’ The Census

Bureau did not recognize TDSA’s before the 1990 census.

Each TDSA is assigned a four-digit census code ranging

from 9001 through 9589. The census codes are assigned

in alphabetical order of TDSA’s nationwide. Each TDSA

also is assigned a five-digit FIPS code in alphabetical order

within State.

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Tribal Jurisdiction Statistical Area (TJSA)

Tribal jurisdiction statistical areas (TJSA’s) are areas,

delineated by federally-recognized tribes in Oklahoma

without a reservation, for which the Census Bureau tabulates data. TJSA’s represent areas generally containing

the American Indian population over which one or more

tribal governments have jurisdiction; if tribal officials delineated adjacent TJSA’s so that they include some duplicate

territory, the overlap area is called a ‘‘joint use area,’’

which is treated as a separate TJSA for census purposes.

TJSA’s replace the ‘‘Historic Areas of Oklahoma (excluding urbanized areas)’’ shown in 1980 census data products. The Historic Areas of Oklahoma comprised the

territory located within reservations that had legally established boundaries from 1900 to 1907; these reservations

were dissolved during the 2- to 3-year period preceding the

statehood of Oklahoma in 1907. The Historic Areas of

Oklahoma (excluding urbanized areas) were identified only

for the 1980 census.

Each TJSA is assigned a four-digit census code ranging

from 5001 through 5989. The census codes are assigned

in alphabetical order of TJSA’s, except that joint areas

appear at the end of the code range. Each TJSA also is

assigned a five-digit FIPS code in alphabetical order within

Oklahoma.

AREA MEASUREMENT

Area measurements provide the size, in square kilometers (also in square miles in printed reports), recorded for

each geographic entity for which the Census Bureau

tabulates data in general-purpose data products (except

crews-of-vessels entities and ZIP Codes). (Square kilometers may be divided by 2.59 to convert an area measurement to square miles.) Area was calculated from the

specific set of boundaries recorded for the entity in the

Census Bureau’s geographic data base (see ‘‘TIGER’’).

On machine-readable files, area measurements are shown

to three decimal places; the decimal point is implied. In

printed reports and listings, area measurements are shown

to one decimal.

The Census Bureau provides measurements for both

land area and total water area for the 1990 census; the

water figure includes inland, coastal, Great Lakes, and

territorial water. (For the 1980 census, the Census Bureau

provided area measurements for land and inland water.)

The Census Bureau will provide measurements for the

component types of water for the affected entities in a

separate file. ‘‘Inland water’’ consists of any lake, reservoir, pond, or similar body of water that is recorded in the

Census Bureau’s geographic data base. It also includes

any river, creek, canal, stream, or similar feature that is

recorded in that data base as a two-dimensional feature

(rather than as a single line). The portions of the oceans

and related large embayments (such as the Chesapeake

Bay and Puget Sound), the Gulf of Mexico, and the

Caribbean Sea that belong to the United States and its

territories are considered to be ‘‘coastal’’ and ‘‘territorial’’

waters; the Great Lakes are treated as a separate water

entity. Rivers and bays that empty into these bodies of

water are treated as ‘‘inland water’’ from the point beyond

which they are narrower than one nautical mile across.

Identification of land and inland, coastal, and territorial

waters is for statistical purposes, and does not necessarily

reflect legal definitions thereof.

By definition, census blocks do not include water within

their boundaries; therefore, the water area of a block is

always zero. Land area measurements may disagree with

the information displayed on census maps and in the

TIGER file because, for area measurement purposes,

features identified as ‘‘intermittent water’’ and ‘‘glacier’’

are reported as land area. For this reason, it may not be

possible to derive the land area for an entity by summing

the land area of its component census blocks. In addition,

the water area measurement reported for some geographic entities includes water that is not included in any

lower-level geographic entity. Therefore, because water is

contained only in a higher-level geographic entity, summing the water measurements for all the component

lower-level geographic entities will not yield the water area

of that higher-level entity. This occurs, for example, where

water is associated with a county but is not within the legal

boundary of any minor civil division, or the water is

associated with a State but is not within the legal boundary

of any county. Crews-of-vessels entities (see ‘‘Census

Tract and Block Numbering Area’’ and ‘‘Block’’) do not

encompass territory and therefore have no area measurements. ZIP Codes do not have specific boundaries, and

therefore, also do not have area measurements.

The accuracy of any area measurement figure is limited

by the inaccuracy inherent in (1) the location and shape

of the various boundary features in the data base, and

(2) rounding affecting the last digit in all operations that

compute and/ or sum the area measurements.

BLOCK

Census blocks are small areas bounded on all sides by

visible features such as streets, roads, streams, and

railroad tracks, and by invisible boundaries such as city,

town, township, and county limits, property lines, and short,

imaginary extensions of streets and roads.

Tabulation blocks, used in census data products, are in

most cases the same as collection blocks, used in the

census enumeration. In some cases, collection blocks

have been ‘‘split’’ into two or more parts required for data

tabulations. Tabulation blocks do not cross the boundaries

of counties, county subdivisions, places, census tracts or

block numbering areas, American Indian and Alaska Native

areas, congressional districts, voting districts, urban or

rural areas, or urbanized areas. The 1990 census is the

first for which the entire United States and its possessions

are block-numbered.

Blocks are numbered uniquely within each census tract

or BNA. A block is identified by a three-digit number,

sometimes with a single alphabetical suffix. Block numbers

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with suffixes generally represent collection blocks that

were ‘‘split’’ in order to identify separate geographic entities that divide the original block. For example, when a city

limit runs through data collection block 101, the data for

the portion inside the city is tabulated in block 101A and

the portion outside, in block 101B. A block number with the

suffix ‘‘Z’’ represents a ‘‘crews-of-vessels’’ entity for which

the Census Bureau tabulates data, but that does not

represent a true geographic area; such a block is shown on

census maps associated with an anchor symbol and a

census tract or block numbering area with a .99 suffix.

BLOCK GROUP (BG)

Geographic Block Group

A geographic block group (BG) is a cluster of blocks

having the same first digit of their three-digit identifying

numbers within a census tract or block numbering area

(BNA). For example, BG 3 within a census tract or BNA

includes all blocks numbered between 301 and 397. In

most cases, the numbering involves substantially fewer

than 97 blocks. Geographic BG’s never cross census tract

or BNA boundaries, but may cross the boundaries of

county subdivisions, places, American Indian and Alaska

Native areas, urbanized areas, voting districts, and congressional districts. BG’s generally contain between 250

and 550 housing units, with the ideal size being 400

housing units.

Tabulation Block Group

In the data tabulations, a geographic BG may be split to

present data for every unique combination of county

subdivision, place, American Indian and Alaska Native

area, urbanized area, voting district, urban/ rural and congressional district shown in the data product; for example,

if BG 3 is partly in a city and partly outside the city, there

will be separate tabulated records for each portion of BG 3.

BG’s are used in tabulating decennial census data nationwide in the 1990 census, in all block-numbered areas in the

1980 census, and in Tape Address Register (TAR) areas in

the 1970 census. For purposes of data presentation, BG’s

are a substitute for the enumeration districts (ED’s) used

for reporting data in many parts of the United States for the

1970 and 1980 censuses, and in all areas for pre-1970

censuses.

BOUNDARY CHANGES

The boundaries of some counties, county subdivisions,

American Indian and Alaska Native areas, and many

incorporated places, changed between those reported for

the 1980 census and January 1, 1990. Boundary changes

to legal entities result from:

1. Annexations to or detachments from legally established governmental units.

2. Mergers or consolidations of two or more governmental units.

3. Establishment of new governmental units.

4. Disincorporations or disorganizations of existing governmental units.

5. Changes in treaties and Executive Orders.

The historical counts shown for counties, county subdivisions, and places are not updated for such changes, and

thus reflect the population and housing units in the area as

delineated at each census. Information on boundary changes

reported between the 1980 and 1990 censuses for counties, county subdivisions, and incorporated places is presented in the ‘‘User Notes’’ section of the technical

documentation of Summary Tape Files 1 and 3, and in the

1990 CPH-2, Population and Housing Unit Counts printed

reports. For information on boundary changes for such

areas in the decade preceding other decennial censuses,

see the Number of Inhabitants reports for each census.

Boundary changes are not reported for some areas, such

as census designated places and block groups.

CENSUS REGION AND CENSUS DIVISION

Census Division

Census divisions are groupings of States that are subdivisions of the four census regions. There are nine

divisions, which the Census Bureau adopted in 1910 for

the presentation of data. The regions, divisions, and their

constituent States are:

Northeast Region

New England Division:

Maine, New Hampshire, Vermont, Massachusetts,

Rhode Island, Connecticut

Middle Atlantic Division:

New York, New Jersey, Pennsylvania

Midwest Region

East North Central Division:

Ohio, Indiana, Illinois, Michigan, Wisconsin

West North Central Division:

Minnesota, Iowa, Missouri, North Dakota, South Dakota,

Nebraska, Kansas

South Region

South Atlantic Division:

Delaware, Maryland, District of Columbia, Virginia,

West Virginia, North Carolina, South Carolina, Georgia,

Florida

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East South Central Division:

Kentucky, Tennessee, Alabama, Mississippi

West South Central Division:

Arkansas, Louisiana, Oklahoma, Texas

West Region

Mountain Division:

Montana, Idaho, Wyoming, Colorado, New Mexico,

Arizona, Utah, Nevada

Pacific Division:

Washington, Oregon, California, Alaska, Hawaii

Census Region

Census regions are groupings of States that subdivide

the United States for the presentation of data. There are

four regions—Northeast, Midwest, South, and West. Each

of the four census regions is divided into two or more

census divisions. Prior to 1984, the Midwest region was

named the North Central region. From 1910, when census

regions were established, through the 1940’s, there were

three regions—North, South, and West.

CENSUS TRACT AND BLOCK NUMBERING

AREA

Block Numbering Area (BNA)

Block numbering areas (BNA’s) are small statistical

subdivisions of a county for grouping and numbering

blocks in nonmetropolitan counties where local census

statistical areas committees have not established census

tracts. State agencies and the Census Bureau delineated

BNA’s for the 1990 census, using guidelines similar to

those for the delineation of census tracts. BNA’s do not

cross county boundaries.

BNA’s are identified by a four-digit basic number and

may have a two-digit suffix; for example, 9901.07. The

decimal point separating the four-digit basic BNA number

from the two-digit suffix is shown in printed reports, in

microfiche, and on census maps; in machine-readable

files, the decimal point is implied. Many BNA’s do not have

a suffix; in such cases, the suffix field is left blank in all data

products. BNA numbers range from 9501 through 9989.99,

and are unique within a county (numbers in the range of

0001 through 9499.99 denote a census tract). The suffix

.99 identifies a BNA that was populated entirely by persons

aboard one or more civilian or military ships. A ‘‘crews-ofvessels’’ BNA appears on census maps only as an anchor

symbol with its BNA number (and block numbers on maps

showing block numbers); the BNA relates to the ships

associated with the onshore BNA’s having the same

four-digit basic number. Suffixes in the range .80 through

.98 usually identify BNA’s that either were revised or were

created during the 1990 census data collection activities.

Some of these revisions produced BNA’s that have extremely

small land area and may have little or no population or

housing. For data analysis, such a BNA can be summarized with an adjacent BNA.

Census Tract

Census tracts are small, relatively permanent statistical

subdivisions of a county. Census tracts are delineated for

all metropolitan areas (MA’s) and other densely populated

counties by local census statistical areas committees

following Census Bureau guidelines (more than 3,000

census tracts have been established in 221 counties

outside MA’s). Six States (California, Connecticut, Delaware, Hawaii, New Jersey, and Rhode Island) and the

District of Columbia are covered entirely by census tracts.

Census tracts usually have between 2,500 and 8,000

persons and, when first delineated, are designed to be

homogeneous with respect to population characteristics,

economic status, and living conditions. Census tracts do

not cross county boundaries. The spatial size of census

tracts varies widely depending on the density of settlement. Census tract boundaries are delineated with the

intention of being maintained over a long time so that

statistical comparisons can be made from census to

census. However, physical changes in street patterns

caused by highway construction, new development, etc.,

may require occasional revisions; census tracts occasionally are split due to large population growth, or combined

as a result of substantial population decline. Census tracts

are referred to as ‘‘tracts’’ in all 1990 data products.

Census tracts are identified by a four-digit basic number

and may have a two-digit suffix; for example, 6059.02. The

decimal point separating the four-digit basic tract number

from the two-digit suffix is shown in printed reports, in

microfiche, and on census maps; in machine-readable

files, the decimal point is implied. Many census tracts do

not have a suffix; in such cases, the suffix field is left blank

in all data products. Leading zeros in a census tract

number (for example, 002502) are shown only on machinereadable files.

Census tract numbers range from 0001 through 9499.99

and are unique within a county (numbers in the range of

9501 through 9989.99 denote a block numbering area).

The suffix .99 identifies a census tract that was populated

entirely by persons aboard one or more civilian or military

ships. A ‘‘crews-of-vessels’’ census tract appears on census maps only as an anchor symbol with its census tract

number (and block numbers on maps showing block

numbers). These census tracts relate to the ships associated with the onshore census tract having the same

four-digit basic number. Suffixes in the range .80 through

.98 usually identify census tracts that either were revised

or were created during the 1990 census data collection

activities. Some of these revisions may have resulted in

census tracts that have extremely small land area and may

have little or no population or housing. For data analysis,

such a census tract can be summarized with an adjacent

census tract.

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CONGRESSIONAL DISTRICT (CD)

Congressional districts (CD’s) are the 435 areas from

which persons are elected to the U.S. House of Representatives. After the apportionment of congressional seats

among the States, based on census population counts,

each State is responsible for establishing CD’s for the

purpose of electing representatives. Each CD is to be as

equal in population to all other CD’s in the State as

practicable, based on the decennial census counts.

The CD’s that were in effect on January 1, 1990 were

those of the 101st Congress. Data on the 101st Congress

appear in an early 1990 census data product (Summary

Tape File 1A). The CD’s of the 101st Congress are the

same as those in effect for the 102nd Congress. CD’s of

the 103rd Congress, reflecting redistricting based on the

1990 census, are summarized in later 1990 data products

(STF’s 1D and 3D, and 1990 CPH-4, Population and

Housing Characteristics for Congressional Districts of the

103rd Congress printed reports).

COUNTY

The primary political divisions of most States are termed

‘‘counties.’’ In Louisiana, these divisions are known as

‘‘parishes.’’ In Alaska, which has no counties, the county

equivalents are the organized ‘‘boroughs’’ and the ‘‘census areas’’ that are delineated for statistical purposes by

the State of Alaska and the Census Bureau. In four States

(Maryland, Missouri, Nevada, and Virginia), there are one

or more cities that are independent of any county organization and thus constitute primary divisions of their States.

These cities are known as ‘‘independent cities’’ and are

treated as equivalent to counties for statistical purposes.

That part of Yellowstone National Park in Montana is

treated as a county equivalent. The District of Columbia

has no primary divisions, and the entire area is considered

equivalent to a county for statistical purposes.

Each county and county equivalent is assigned a threedigit FIPS code that is unique within State. These codes

are assigned in alphabetical order of county or county

equivalent within State, except for the independent cities,

which follow the listing of counties.

COUNTY SUBDIVISION

County subdivisions are the primary subdivisions of

counties and their equivalents for the reporting of decennial census data. They include census county divisions,

census subareas, minor civil divisions, and unorganized

territories.

Each county subdivision is assigned a three-digit census code in alphabetical order within county and a five-digit

FIPS code in alphabetical order within State.

Census County Division (CCD)

Census county divisions (CCD’s) are subdivisions of a

county that were delineated by the Census Bureau, in

cooperation with State officials and local census statistical

areas committees, for statistical purposes. CCD’s were

established in 21 States where there are no legally established minor civil divisions (MCD’s), where the MCD’s do

not have governmental or administrative purposes, where

the boundaries of the MCD’s change frequently, and/ or

where the MCD’s are not generally known to the public.

CCD’s have no legal functions, and are not governmental

units.

The boundaries of CCD’s usually are delineated to

follow visible features, and in most cases coincide with

census tract or block numbering area boundaries. The

name of each CCD is based on a place, county, or

well-known local name that identifies its location. CCD’s

have been established in the following 21 States: Alabama, Arizona, California, Colorado, Delaware, Florida,

Georgia, Hawaii, Idaho, Kentucky, Montana, Nevada, New

Mexico, Oklahoma, Oregon, South Carolina, Tennessee,

Texas, Utah, Washington, and Wyoming. For the 1980

census, the county subdivisions recognized for Nevada

were MCD’s.

Census Subarea (Alaska)

Census subareas are statistical subdivisions of boroughs and census areas (county equivalents) in Alaska.

Census subareas were delineated cooperatively by the

State of Alaska and the Census Bureau. The census

subareas, identified first in 1980, replaced the various

types of subdivisions used in the 1970 census.

Minor Civil Division (MCD)

Minor civil divisions (MCD’s) are the primary political or

administrative divisions of a county. MCD’s represent

many different kinds of legal entities with a wide variety of

governmental and/ or administrative functions. MCD’s are

variously designated as American Indian reservations,

assessment districts, boroughs, election districts, gores,

grants, magisterial districts, parish governing authority

districts, plantations, precincts, purchases, supervisors’

districts, towns, and townships. In some States, all or some

incorporated places are not located in any MCD and thus

serve as MCD’s in their own right. In other States, incorporated places are subordinate to (part of) the MCD’s in

which they are located, or the pattern is mixed—some

incorporated places are independent of MCD’s and others

are subordinate to one or more MCD’s.

The Census Bureau recognizes MCD’s in the following

28 States: Arkansas, Connecticut, Illinois, Indiana, Iowa,

Kansas, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New

Hampshire, New Jersey, New York, North Carolina, North

Dakota, Ohio, Pennsylvania, Rhode Island, South Dakota,

Vermont, Virginia, West Virginia, and Wisconsin. The District of Columbia has no primary divisions, and the entire

area is considered equivalent to an MCD for statistical

purposes.

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The MCD’s in 12 selected States (Connecticut, Maine,

Massachusetts, Michigan, Minnesota, New Hampshire,

New Jersey, New York, Pennsylvania, Rhode Island, Vermont, and Wisconsin) also serve as general-purpose local

governments. The Census Bureau presents data for these

MCD’s in all data products in which it provides data for

places.

Unorganized Territory (unorg.)

In nine States (Arkansas, Iowa, Kansas, Louisiana,

Maine, Minnesota, North Carolina, North Dakota, and

South Dakota), some counties contain territory that is not

included in an MCD recognized by the Census Bureau.

Each separate area of unorganized territory in these

States is recognized as one or more separate county

subdivisions for census purposes. Each unorganized territory is given a descriptive name, followed by the designation ‘‘unorg.’’

GEOGRAPHIC CODE

Geographic codes are shown primarily on machinereadable data products, such as computer tape and compact disc-read only memory (CD-ROM), but also appear on

other products such as microfiche; they also are shown on

some census maps. Codes are identified as ‘‘census

codes’’ only if there is also a Federal Information Processing Standards (FIPS) code for the same geographic entity.

A code that is not identified as either ‘‘census’’ or ‘‘FIPS’’

is usually a census code for which there is no FIPS

equivalent, or for which the Census Bureau does not use

the FIPS code. The exceptions, which use only the FIPS

code in census products, are county, congressional district, and metropolitan area (that is, metropolitan statistical

area, consolidated metropolitan statistical area, and primary metropolitan statistical area).

Census Code

Census codes are assigned for a variety of geographic

entities, including American Indian and Alaska Native area,

census division, census region, county subdivision, place,

State, urbanized area, and voting district. The structure,

format, and meaning of census codes appear in the 1990

census Geographic Identification Code Scheme; in the

data dictionary portion of the technical documentation for

summary tape files, CD-ROM’s, and microfiche.

Federal Information Processing Standards

(FIPS) Code

Federal Information Processing Standards (FIPS) codes

are assigned for a variety of geographic entities, including

American Indian and Alaska Native area, congressional

district, county, county subdivision, metropolitan area, place,

and State. The structure, format, and meaning of FIPS

codes used in the census are shown in the 1990 census

Geographic Identification Code Scheme; in the data dictionary portion of the technical documentation for summary tape files, CD-ROM’s, and microfiche.

The objective of the FIPS codes is to improve the use of

data resources of the Federal Government and avoid

unnecessary duplication and incompatibilities in the collection, processing, and dissemination of data. More information about FIPS and FIPS code documentation is available

from the National Technical Information Service, Springfield, VA 22161.

United States Postal Service (USPS) Code

United States Postal Service (USPS) codes for States

are used in all 1990 data products. The codes are twocharacter alphabetic abbreviations. These codes are the

same as the FIPS two-character alphabetic abbreviations.

GEOGRAPHIC PRESENTATION

Hierarchical Presentation

A hierarchical geographic presentation shows the geographic entities in a superior/ subordinate structure in

census products. This structure is derived from the legal,

administrative, or areal relationships of the entities. The

hierarchical structure is depicted in report tables by means

of indentation, and is explained for machine-readable

media in the discussion of file structure in the geographic

coverage portion of the abstract in the technical documentation. An example of hierarchical presentation is the

‘‘standard census geographic hierarchy’’: block, within

block group, within census tract or block numbering area,

within place, within county subdivision, within county, within

State, within division, within region, within the United

States. Graphically, this is shown as:

United States

Region

Division

State

County

County subdivision

Place (or part)

Census tract/ block numbering area

(or part)

Block group (or part)

Block

Inventory Presentation

An inventory presentation of geographic entities is one

in which all entities of the same type are shown in

alphabetical or code sequence, without reference to their

hierarchical relationships. Generally, an inventory presentation shows totals for entities that may be split in a

hierarchical presentation, such as place, census tract/

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block numbering area, or block group. An example of a

series of inventory presentations is: State, followed by all

the counties in that State, followed by all the places in that

State. Graphically, this is shown as:

State

County ‘‘A’’

County ‘‘B’’

County ‘‘C’’

Place ‘‘X’’

Place ‘‘Y’’

Place ‘‘Z’’

HISTORICAL COUNTS

Historical counts for total population and total housing

units are shown in the 1990 CPH-2, Population and

Housing Unit Counts report series. As in past censuses,

the general rule for presenting historical data for States,

counties, county subdivisions, and places is to show

historical counts only for single, continually existing entities. Stated another way, if an entity existed for both the

current and preceding censuses, the tables show counts

for the preceding censuses. Included in this category are

entities of the same type (county, county subdivision,

place) even if they had changed their names. Also included

are entities that merged, but only if the new entity retained

the name of one of the merged entities. The historical

counts shown are for each entity as it was bounded at

each census.

In cases where an entity was formed since a preceding

census, such as a newly incorporated place or a newly

organized township, the symbol three dots ‘‘...’’ is shown

for earlier censuses. The three-dot symbol also is shown

for those parts of a place that have extended into an

additional county or county subdivision through annexation

or other revision of boundaries since the preceding census.

In a few cases, changes in the boundaries of county

subdivisions caused a place to be split into two or more

parts, or to be split differently than in the preceding census.

If historical counts for the parts of the place as currently

split did not appear in a preceding census, ‘‘(NA)’’ is shown

for the place in each county subdivision; however, the

historical population and housing unit counts of the place

appear in tables that show the entire place. For counties,

county subdivisions, and places formed since January 1,

1980, 1980 census population and housing unit counts in

the 1990 territory are reported in the geographic change

notes included in the ‘‘User Notes’’ text section of 1990

CPH-2, Population and Housing Unit Counts, and in the

technical documentation of Summary Tape Files 1 and 3.

In some cases, population and housing unit counts for

individual areas were revised since publication of the 1980

reports (indicated by the prefix ‘‘r’’). In a number of tables

of 1990 CPH-2, Population and Housing Unit Counts, 1980

counts are shown for aggregations of individual areas,

such as the number, population, and housing unit counts of

places in size groups, or urban and rural distributions.

Revisions of population and housing unit counts for individual areas were not applied to the various aggregations.

Therefore, it may not be possible to determine the individual areas in a given aggregation using the historical counts;

conversely, the sum of the counts shown for individual

areas may not agree with the aggregation.

INTERNAL POINT

An internal point is a set of geographic coordinates

(latitude and longitude) that is located within a specified

geographic entity. A single point is identified for each

entity; for many entities, this point represents the approximate geographic center of that entity. If the shape of the

entity caused this point to be located outside the boundaries of the entity, it is relocated from the center so that it

is within the entity. If the internal point for a block falls in a

water area, it is relocated to a land area within the block.

On machine-readable products, internal points are shown

to six decimal places; the decimal point is implied.

METROPOLITAN AREA (MA)

The general concept of a metropolitan area (MA) is one

of a large population nucleus, together with adjacent

communities that have a high degree of economic and

social integration with that nucleus. Some MA’s are defined

around two or more nuclei.

The MA classification is a statistical standard, developed for use by Federal agencies in the production,

analysis, and publication of data on MA’s. The MA’s are

designated and defined by the Federal Office of Management and Budget, following a set of official published

standards. These standards were developed by the interagency Federal Executive Committee on Metropolitan

Areas, with the aim of producing definitions that are as

consistent as possible for all MA’s nationwide.

Each MA must contain either a place with a minimum

population of 50,000 or a Census Bureau-defined urbanized area and a total MA population of at least 100,000

(75,000 in New England). An MA comprises one or more

central counties. An MA also may include one or more

outlying counties that have close economic and social

relationships with the central county. An outlying county

must have a specified level of commuting to the central

counties and also must meet certain standards regarding

metropolitan character, such as population density, urban

population, and population growth. In New England, MA’s

are composed of cities and towns rather than whole

counties.

The territory, population, and housing units in MA’s are

referred to as ‘‘metropolitan.’’ The metropolitan category is

subdivided into ‘‘inside central city’’ and ‘‘outside central

city.’’ The territory, population, and housing units located

outside MA’s are referred to as ‘‘nonmetropolitan.’’ The

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metropolitan and nonmetropolitan classification cuts across

the other hierarchies; for example, there is generally both

urban and rural territory within both metropolitan and

nonmetropolitan areas.

To meet the needs of various users, the standards

provide for a flexible structure of metropolitan definitions

that classify an MA either as a metropolitan statistical area

(MSA) or as a consolidated metropolitan statistical area

(CMSA) that is divided into primary metropolitan statistical

areas (PMSA’s). Documentation of the MA standards and

how they are applied is available from the Secretary,

Federal Executive Committee on Metropolitan Areas, Population Division, U.S. Bureau of the Census, Washington,

DC 20233.

Central City

In each MSA and CMSA, the largest place and, in some

cases, additional places are designated as ‘‘central cities’’

under the official standards. A few PMSA’s do not have

central cities. The largest central city and, in some cases,

up to two additional central cities are included in the title of

the MA; there also are central cities that are not included

in an MA title. An MA central city does not include any part

of that city that extends outside the MA boundary.

Consolidated and Primary Metropolitan

Statistical Area (CMSA and PMSA)

If an area that qualifies as an MA has more than one

million persons, primary metropolitan statistical areas (PMSA’s)

may be defined within it. PMSA’s consist of a large

urbanized county or cluster of counties that demonstrates

very strong internal economic and social links, in addition

to close ties to other portions of the larger area. When

PMSA’s are established, the larger area of which they are

component parts is designated a consolidated metropolitan statistical area (CMSA).

Metropolitan Statistical Area (MSA)

Metropolitan statistical areas (MSA’s) are relatively freestanding MA’s and are not closely associated with other

MA’s. These areas typically are surrounded by nonmetropolitan counties.

Metropolitan Area Title and Code

The title of an MSA contains the name of its largest

central city and up to two additional city names, provided

that the additional places meet specified levels of population, employment, and commuting. Generally, a city with a

population of 250,000 or more is in the title, regardless of

other criteria.

The title of a PMSA may contain up to three place

names, as determined above, or up to three county names,

sequenced in order of population. A CMSA title also may

include up to three names, the first of which generally is

the most populous central city in the area. The second

name may be the first city or county name in the most

populous remaining PMSA; the third name may be the first

city or county name in the next most populous PMSA. A

regional designation may be substituted for the second

and/ or third names in a CMSA title if such a designation is

supported by local opinion and is deemed to be unambiguous and suitable by the Office of Management and

Budget.

The titles for all MA’s also contain the name of each

State in which the area is located. Each metropolitan area

is assigned a four-digit FIPS code, in alphabetical order

nationwide. If the fourth digit of the code is a ‘‘2,’’ it

identifies a CMSA. Additionally, there is a separate set of

two-digit codes for CMSA’s, also assigned alphabetically.

OUTLYING AREAS OF THE UNITED STATES

The Census Bureau treats the outlying areas as the

statistical equivalents of States for the 1990 census. The

outlying areas are American Samoa, Guam, the Commonwealth of the Northern Mariana Islands (Northern Mariana

Islands), Republic of Palau (Palau), Puerto Rico, and the

Virgin Islands of the United States (Virgin Islands). Geographic definitions specific to each outlying area are

shown in appendix A of the text in the data products for

each area.

PLACE

Places, for the reporting of decennial census data,

include census designated places and incorporated places.

Each place is assigned a four-digit census code that is

unique within State. Each place is also assigned a five-digit

FIPS code that is unique within State. Both the census and

FIPS codes are assigned based on alphabetical order

within State. Consolidated cities (see below) are assigned

a one-character alphabetical census code that is unique

nationwide and a five-digit FIPS code that is unique within

State.

Census Designated Place (CDP)

Census designated places (CDP’s) are delineated for

the decennial census as the statistical counterparts of

incorporated places. CDP’s comprise densely settled concentrations of population that are identifiable by name, but

are not legally incorporated places. Their boundaries,

which usually coincide with visible features or the boundary

of an adjacent incorporated place, have no legal status,

nor do these places have officials elected to serve traditional municipal functions. CDP boundaries may change

with changes in the settlement pattern; a CDP with the

same name as in previous censuses does not necessarily

have the same boundaries.

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Beginning with the 1950 census, the Census Bureau, in

cooperation with State agencies and local census statistical areas committees, has identified and delineated boundaries for CDP’s. In the 1990 census, the name of each

such place is followed by ‘‘CDP.’’ In the 1980 census,

‘‘(CDP)’’ was used; in 1970, 1960, and 1950 censuses,

these places were identified by ‘‘(U),’’ meaning ‘‘unincorporated place.’’

To qualify as a CDP for the 1990 census, an unincorporated community must have met the following criteria:

1. In all States except Alaska and Hawaii, the Census

Bureau uses three population size criteria to designate

a CDP. These criteria are:

a. 1,000 or more persons if outside the boundaries of

an urbanized area (UA) delineated for the 1980

census or a subsequent special census.

b. 2,500 or more persons if inside the boundaries of

a UA delineated for the 1980 census or a subsequent special census.

c. 250 or more persons if outside the boundaries of a

UA delineated for the 1980 census or a subsequent special census, and within the official boundaries of an American Indian reservation recognized for the 1990 census.

2. In Alaska, 25 or more persons if outside a UA, and

2,500 or more persons if inside a UA delineated for the

1980 census or a subsequent special census.

3. In Hawaii, 300 or more persons, regardless of whether

the community is inside or outside a UA.

For the 1990 census, CDP’s qualified on the basis of the

population counts prepared for the 1990 Postcensus Local

Review Program. Because these counts were subject to

change, a few CDP’s may have final population counts

lower than the minimums shown above.

Hawaii is the only State with no incorporated places

recognized by the Bureau of the Census. All places shown

for Hawaii in the data products are CDP’s. By agreement

with the State of Hawaii, the Census Bureau does not show

data separately for the city of Honolulu, which is coextensive with Honolulu County.

Consolidated City

A consolidated government is a unit of local government for which the functions of an incorporated place and

its county or minor civil division (MCD) have merged. The

legal aspects of this action may result in both the primary

incorporated place and the county or MCD continuing to

exist as legal entities, even though the county or MCD

performs few or no governmental functions and has few or

no elected officials. Where this occurs, and where one or

more other incorporated places in the county or MCD

continue to function as separate governments, even though

they have been included in the consolidated government,

the primary incorporated place is referred to as a ‘‘consolidated city.’’

The data presentation for consolidated cities varies

depending upon the geographic presentation. In hierarchical presentations, consolidated cities are not shown. These

presentations include the semi-independent places and

the ‘‘consolidated city (remainder).’’ Where the consolidated city is coextensive with a county or county subdivision, the data shown for those areas in hierarchical

presentations are equivalent to those for the consolidated

government.

For inventory geographic presentations, the consolidated city appears at the end of the listing of places. The

data for the consolidated city include places that are part

of the consolidated city. The ‘‘consolidated city (remainder)’’ is the portion of the consolidated government minus

the semi-independent places, and is shown in alphabetical

sequence with other places.

In summary presentations by size of place, the consolidated city is not included. The places semi-independent of

consolidated cities are categorized by their size, as is the

‘‘consolidated city (remainder).’’

Each consolidated city is assigned a one-character

alphabetic census code. Each consolidated city also is

assigned a five-digit FIPS code that is unique within State.

The semi-independent places and the ‘‘consolidated city

(remainder)’’ are assigned a four-digit census code and a

five-digit FIPS place code that are unique within State.

Both the census and FIPS codes are assigned based on

alphabetical order within State.

Incorporated Place

Incorporated places recognized in 1990 census data

products are those reported to the Census Bureau as

legally in existence on January 1, 1990 under the laws of

their respective States as cities, boroughs, towns, and

villages, with the following exceptions: the towns in the

New England States, New York, and Wisconsin, and the

boroughs in New York are recognized as minor civil

divisions for census purposes; the boroughs in Alaska are

county equivalents.

POPULATION OR HOUSING UNIT DENSITY

Population or housing unit density is computed by

dividing the total population or housing units of a geographic unit (for example, United States, State, county,

place) by its land area measured in square kilometers or

square miles. Density is expressed as both ‘‘persons (or

housing units) per square kilometer’’ and ‘‘persons (or

housing units) per square mile’’ of land area in 1990

census printed reports.

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STATE

States are the primary governmental divisions of the

United States. The District of Columbia is treated as a

statistical equivalent of a State for census purposes. The

four census regions, nine census divisions, and their

component States are shown under ‘‘CENSUS REGION

AND CENSUS DIVISION’’ in this appendix.

The Census Bureau treats the outlying areas as State

equivalents for the 1990 census. The outlying areas are

American Samoa, Guam, the Northern Mariana Islands,

Palau, Puerto Rico, and the Virgin Islands of the United

States. Geographic definitions specific to each outlying

area are shown in appendix A in the data products for each

area.

Each State and equivalent is assigned a two-digit numeric

Federal Information Processing Standards (FIPS) code in

alphabetical order by State name, followed by the outlying

area names. Each State and equivalent area also is

assigned a two-digit census code. This code is assigned

on the basis of the geographic sequence of each State

within each census division; the first digit of the code is the

code for the respective division. Puerto Rico, the Virgin

Islands, and the outlying areas of the Pacific are assigned

‘‘0’’ as the division code. Each State and equivalent area

also is assigned the two-letter FIPS/ United States Postal

Service (USPS) code.

In 12 selected States (Connecticut, Maine, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey,

New York, Pennsylvania, Rhode Island, Vermont, and

Wisconsin), the minor civil divisions also serve as generalpurpose local governments. The Census Bureau presents

data for these minor civil divisions in all data products in

which it provides data for places.

TIGER

TIGER is an acronym for the new digital (computerreadable) geographic data base that automates the mapping and related geographic activities required to support

the Census Bureau’s census and survey programs. The

Census Bureau developed the Topologically Integrated

Geographic Encoding and Referencing (TIGER) System to

automate the geographic support processes needed to

meet the major geographic needs of the 1990 census:

producing the cartographic products to support data collection and map publication, providing the geographic

structure for tabulation and publication of the collected

data, assigning residential and employer addresses to their

geographic location and relating those locations to the

Census Bureau’s geographic units, and so forth. The

content of the TIGER data base is made available to the

public through a variety of ‘‘TIGER Extract’’ files that may

be obtained from the Data User Services Division, U.S.

Bureau of the Census, Washington, DC 20233.

UNITED STATES

The United States comprises the 50 States and the

District of Columbia. In addition, the Census Bureau treats

the outlying areas as statistical equivalents of States for

the 1990 census. The outlying areas include American

Samoa, Guam, the Northern Mariana Islands, Palau, Puerto

Rico, and the Virgin Islands.

URBAN AND RURAL

The Census Bureau defines ‘‘urban’’ for the 1990

census as comprising all territory, population, and housing

units in urbanized areas and in places of 2,500 or more

persons outside urbanized areas. More specifically, ‘‘urban’’

consists of territory, persons, and housing units in:

1. Places of 2,500 or more persons incorporated as

cities, villages, boroughs (except in Alaska and New

York), and towns (except in the six New England

States, New York, and Wisconsin), but excluding the

rural portions of ‘‘extended cities.’’

2. Census designated places of 2,500 or more persons.

3. Other territory, incorporated or unincorporated, included

in urbanized areas.

Territory, population, and housing units not classified as

urban constitute ‘‘rural.’’ In the 100-percent data products,

‘‘rural’’ is divided into ‘‘places of less than 2,500’’ and ‘‘not

in places.’’ The ‘‘not in places’’ category comprises ‘‘rural’’

outside incorporated and census designated places and

the rural portions of extended cities. In many data products, the term ‘‘other rural’’ is used; ‘‘other rural’’ is a

residual category specific to the classification of the rural in

each data product.

In the sample data products, rural population and housing units are subdivided into ‘‘rural farm’’ and ‘‘rural

nonfarm.’’ ‘‘Rural farm’’ comprises all rural households

and housing units on farms (places from which $1,000 or

more of agricultural products were sold in 1989); ‘‘rural

nonfarm’’ comprises the remaining rural.

The urban and rural classification cuts across the other

hierarchies; for example, there is generally both urban and

rural territory within both metropolitan and nonmetropolitan

areas.

In censuses prior to 1950, ‘‘urban’’ comprised all territory, persons, and housing units in incorporated places of

2,500 or more persons, and in areas (usually minor civil

divisions) classified as urban under special rules relating to

population size and density. The definition of urban that

restricted itself to incorporated places having 2,500 or

more persons excluded many large, densely settled areas

merely because they were not incorporated. Prior to the

1950 census, the Census Bureau attempted to avoid some

of the more obvious omissions by classifying selected

areas as ‘‘urban under special rules.’’ Even with these

rules, however, many large, closely built-up areas were

excluded from the urban category.

To improve its measure of urban territory, population,

and housing units, the Census Bureau adopted the concept of the urbanized area and delineated boundaries for

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unincorporated places (now, census designated places)

for the 1950 census. Urban was defined as territory,

persons, and housing units in urbanized areas and, outside

urbanized areas, in all places, incorporated or unincorporated, that had 2,500 or more persons. With the following

three exceptions, the 1950 census definition of urban has

continued substantially unchanged. First, in the 1960 census (but not in the 1970, 1980, or 1990 censuses), certain

towns in the New England States, townships in New

Jersey and Pennsylvania, and Arlington County, Virginia,

were designated as urban. However, most of these ‘‘special rule’’ areas would have been classified as urban

anyway because they were included in an urbanized area

or in an unincorporated place of 2,500 or more persons.

Second, ‘‘extended cities’’ were identified for the 1970,

1980, and 1990 censuses. Extended cities primarily affect

the figures for urban and rural territory (area), but have very

little effect on the urban and rural population and housing

units at the national and State levels— although for some

individual counties and urbanized areas, the effects have

been more evident. Third, changes since the 1970 census

in the criteria for defining urbanized areas have permitted

these areas to be defined around smaller centers.

Documentation of the urbanized area and extended city

criteria is available from the Chief, Geography Division,

U.S. Bureau of the Census, Washington, DC 20233.

Extended City

Since the 1960 census, there has been a trend in some

States toward the extension of city boundaries to include

territory that is essentially rural in character. The classification of all the population and living quarters of such

places as urban would include in the urban designation

territory, persons, and housing units whose environment is

primarily rural. For the 1970, 1980, and 1990 censuses, the

Census Bureau identified as rural such territory and its

population and housing units for each extended city whose

closely settled area was located in an urbanized area. For

the 1990 census, this classification also has been applied

to certain places outside urbanized areas.

In summary presentations by size of place, the urban

portion of an extended city is classified by the population of

the entire place; the rural portion is included in ‘‘other

rural.’’

URBANIZED AREA (UA)

The Census Bureau delineates urbanized areas (UA’s)

to provide a better separation of urban and rural territory,

population, and housing in the vicinity of large places. A UA

comprises one or more places (‘‘central place’’) and the

adjacent densely settled surrounding territory (‘‘urban fringe’’)

that together have a minimum of 50,000 persons. The

urban fringe generally consists of contiguous territory

having a density of least 1,000 persons per square mile.

The urban fringe also includes outlying territory of such

density if it was connected to the core of the contiguous

area by road and is within 1 1/ 2 road miles of that core, or

within 5 road miles of the core but separated by water or

other undevelopable territory. Other territory with a population density of fewer than 1,000 people per square mile is

included in the urban fringe if it eliminates an enclave or

closes an indentation in the boundary of the urbanized

area. The population density is determined by (1) outside

of a place, one or more contiguous census blocks with a

population density of at least 1,000 persons per square

mile or (2) inclusion of a place containing census blocks

that have at least 50 percent of the population of the place

and a density of at least 1,000 persons per square mile.

The complete criteria are available from the Chief, Geography Division, U.S. Bureau of the Census, Washington,

DC 20233.

Urbanized Area Central Place

One or more central places function as the dominant

centers of each UA. The identification of a UA central

place permits the comparison of this dominant center with

the remaining territory in the UA. There is no limit on the

number of central places, and not all central places are

necessarily included in the UA title. UA central places

include:

1. Each place entirely (or partially, if the place is an

extended city) within the UA that is a central city of a

metropolitan area (MA).

2. If the UA does not contain an MA central city or is

located outside of an MA, the central place(s) is

determined by population size.

Urbanized Area Title and Code

The title of a UA identifies those places that are most

important within the UA; it links the UA to the encompassing MA, where appropriate. If a single MA includes most of

the UA, the title and code of the UA generally are the same

as the title and code of the MA. If the UA is not mostly

included in a single MA, if it does not include any place that

is a central city of the encompassing MA, or if it is not

located in an MA, the Census Bureau uses the population

size of the included places, with a preference for incorporated places, to determine the UA title. The name of each

State in which the UA is located also is in each UA title.

The numeric code used to identify each UA is the same

as the code for the mostly encompassing MA (including

CMSA and PMSA). If MA title cities represent multiple

UA’s, or the UA title city does not correspond to the first

name of an MA title, the Census Bureau assigns a code

based on the alphabetical sequence of the UA title in

relationship to the other UA and MA titles.

VOTING DISTRICT (VTD)

A voting district (VTD) is any of a variety of types of

areas (for example, election districts, precincts, wards,

legislative districts) established by State and local governments for purposes of elections. For census purposes,

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each State participating in Phase 2 of the 1990 Census

Redistricting Data Program outlined the boundaries of

VTD’s around groups of whole census blocks on census

maps. The entities identified as VTD’s are not necessarily

those legally or currently established. Also, to meet the

‘‘whole block’’ criterion, a State may have had to adjust

VTD boundaries to nearby block boundaries. Therefore,

the VTD’s shown on the 1990 census tapes, listings, and

maps may not represent the actual VTD’s in effect at the

time of the census. In the 1980 census, VTD’s were

referred to as ‘‘election precincts.’’

Each VTD is assigned a four-character alphanumeric

code that is unique within each county. The code ‘‘ZZZZ’’

is assigned to nonparticipating areas; the Census Bureau

reports data for areas coded ‘‘ZZZZ.’’

ZIP CODE

ZIP Codes are administrative units established by the

United States Postal Service (USPS) for the distribution of

mail. ZIP Codes serve addresses for the most efficient

delivery of mail, and therefore generally do not respect

political or census statistical area boundaries. ZIP Codes

usually do not have clearly identifiable boundaries, often

serve a continually changing area, are changed periodically to meet postal requirements, and do not cover all the

land area of the United States. ZIP Codes are identified by

five-digit codes assigned by the USPS. The first three digits

identify a major city or sectional distribution center, and the

last two digits generally signify a specific post office’s

delivery area or point. For the 1990 census, ZIP Code data

are tabulated for the five-digit codes in STF 3B.

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APPENDIX B.

Definitions of Subject Characteristics

CONTENTS

POPULATION CHARACTERISTICS -------------------------- B–1

HOUSING CHARACTERISTICS------------------------------ B–1

Housing Units (See Living Quarters)

Living Quarters -------------------------------------------- B–1

Occupied Housing Units (See Living Quarters)

Vacant Housing Units (See Living Quarters)

DERIVED MEASURES -------------------------------------- B–2

Percentages, Rates, and Ratios ---------------------------- B–2

POPULATION CHARACTERISTICS

In this report, counts of all persons living in housing units

and group quarters are presented for various geographic

areas. Separate population characteristics are not shown.

HOUSING CHARACTERISTICS

LIVING QUARTERS

Living quarters are classified as either housing units or

group quarters. 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 contain 9 or more persons unrelated to the householder or person in charge (a total of 10

unrelated persons), they are classified as group quarters. If

the living quarters contain eight or fewer persons unrelated

to the householder or person in charge, they are classified

as housing units.

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. 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.

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 are also 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

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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.

DERIVED MEASURES

This report includes various derived measures such as

percentages, as well as certain rates and ratios. Derived

measures which round to less than 0.1 are not shown but

indicated as zero. In printed reports, zero is indicated by

showing a dash (–).

Percentages, Rates, and Ratios

These measures are frequently presented in census

products and are used 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.

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APPENDIX C.

Accuracy of the Data

CONTENTS

Confidentiality of the Data --------------------------------- C–1

Editing of Unacceptable Data ------------------------------ C–1

Sources of Error ------------------------------------------ C–1

CONFIDENTIALITY OF THE DATA

To maintain confidentiality required by law (Title 13,

United States Code), the Bureau of the Census applies a

confidentiality edit to assure published data do not disclose information about specific individuals, households,

and housing units. The result is that a small amount of

uncertainty is introduced into some of the census characteristics to prevent identification of specific individuals,

households, or housing units. The edit is controlled so that

the counts of total persons, totals by race and American

Indian tribe, Hispanic origin, and age 18 years and over are

not affected by the confidentiality edit and are published as

collected. In addition, total counts for housing units by

tenure are not affected by this edit.

The confidentiality edit is conducted by selecting a

sample of census households from the 100-percent data

internal census files and interchanging its data with other

households that have identical characteristics on a set of

selected key variables but are in different geographic

locations within the same State. To provide more protection for ‘‘small areas,’’ a higher sampling rate was used for

these areas. The net result of this procedure is that the

data user’s ability to obtain census data, particularly for

small areas and subpopulation groups, has been significantly enhanced.

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 were also reviewed by census clerks for omissions, certain 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 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. Allocations, 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.

SOURCES OF ERROR

In any large-scale statistical operation, such as the 1990

decennial census, human- and machine-related errors

occur. These errors are commonly referred to as nonsampling errors. Such errors include not enumerating every

household or every person in the population, not obtaining

all required information from the respondents, obtaining

incorrect or inconsistent information, and recording information incorrectly. In addition, errors can occur during the

field review of the enumerators’ work, during clerical

handling of the census questionnaires, or during the electronic processing of the questionnaires.

To reduce various types of nonsampling errors, a number of techniques were implemented during the planning,

development of the mailing address list, data collection,

and data processing activities. Quality assurance methods

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were used throughout the data collection and processing

phases of the census to improve the quality of the data. A

reinterview program was designed to minimize the errors in

the data collection phase for enumerator-filled questionnaires.

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 decennial census and results from the 1990 decennial 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.

• For larger urban areas, the Census Bureau purchased

and coded address lists, had the United States Postal

Service (USPS) review and update this list, and conducted a dependent canvass and update operation.

Prior to mailout, local officials were given the opportunity

to examine block counts of address listings (local review)

and identify possible errors, and the USPS conducted a

final review.

• For small cities and suburban and selected rural parts of

the country, the Census Bureau created the address list

through a listing operation that occurred in 1988 and

1989. For the addresses listed in 1988, the USPS

reviewed and updated this list, and the Census Bureau

reconciled USPS corrections through a field check; prior

to mailout, the USPS conducted a final review of these

addresses, and local officials participated in reviewing

block counts of address listings.

Coverage improvement programs continued during and

after mailout. The Census Bureau (rather than the USPS)

delivered census questionnaires in the rural and seasonal

housing areas listed in 1989 and in inner-city public

housing developments. Computer and clerical edits and

telephone and personal visit followups contributed to

improved coverage.

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APPENDIX D.

Collection and Processing Procedures

CONTENTS

Data Collection Procedures -------------------------------- D–2

Enumeration and Residence Rules ------------------------- D–1

Processing Procedures ------------------------------------ D–4

ENUMERATION AND RESIDENCE RULES

In accordance with census practice dating back to the

first United States census in 1790, each person was to be

enumerated as an inhabitant of his or her ‘‘usual residence’’ in the 1990 census. Usual residence is the place

where the person lives and sleeps most of the time or

considers to be his or her usual residence. This place is not

necessarily the same as the person’s legal residence or

voting residence. In the vast majority of cases, however,

the use of these different bases of classification would

produce substantially the same statistics, although there

might be appreciable differences for a few areas.

The implementation of this practice has resulted in the

establishment of rules for certain categories of persons

whose usual place of residence is not immediately apparent. Furthermore, this practice means that persons were

not always counted as residents of the place where they

happened to be staying on Census Day (April 1, 1990).

Enumeration Rules

Each person whose usual residence was in the United

States was to be included in the census, without regard to

the person’s legal status or citizenship. In a departure from

earlier censuses, foreign diplomatic personnel participated

voluntarily in the census, regardless of their residence on

or off the premises of an embassy. As in previous censuses, persons in the United States specifically excluded

from the census were foreign travelers who had not

established a residence.

Americans with a usual residence outside the United

States were not enumerated in the 1990 census. United

States military and Federal civilian employees, and their

dependents overseas, are included in the population counts

for States for purposes of Congressional apportionment,

but are excluded from all other tabulations for States and

their subdivisions. The counts of United States military and

Federal civilian employees, and their dependents, were

obtained from administrative records maintained by Federal departments and agencies. Other Americans living

overseas, such as employees of international agencies

and private businesses and students, were not enumerated, nor were their counts obtained from administrative

sources. On the other hand, Americans temporarily overseas were to be enumerated at their usual residence in the

United States.

Residence Rules

Each person included in the census was to be counted

at his or her usual residence—the place where he or she

lives and sleeps most of the time or the place where the

person considers to be his or her usual home. If a person

had no usual residence, the person was to be counted

where he or she was staying on April 1, 1990.

Persons temporarily away from their usual residence,

whether in the United States or overseas, on a vacation or

on a business trip, were counted at their usual residence.

Persons who occupied more than one residence during the

year were counted at the one they considered to be their

usual residence. Persons who moved on or near Census

Day were counted at the place they considered to be their

usual residence.

Persons in the Armed Forces—Members of the Armed

Forces were counted as residents of the area in which the

installation was located, either on the installation or in the

surrounding community. Family members of Armed Forces

personnel were counted where they were living on Census

Day (for example, with the Armed Forces person or at

another location).

Each Navy ship not deployed to the 6th or 7th Fleet was

attributed to the municipality that the Department of the

Navy designated as its homeport. If the homeport included

more than one municipality, ships berthed there on Census

Day were assigned by the Bureau of the Census to the

municipality in which the land immediately adjacent to the

dock or pier was actually located. Ships attributed to the

homeport, but not physically present and not deployed to

the 6th or 7th Fleet, were assigned to the municipality

named on the Department of the Navy’s homeport list.

These rules also apply to Coast Guard vessels.

Personnel assigned to each Navy and Coast Guard ship

were given the opportunity to report a residence off the

ship. Those who did report an off-ship residence in the

communities surrounding the homeport were counted there;

those who did not were counted as residents of the ship.

Personnel on Navy ships deployed to the 6th or 7th Fleet

on Census Day were considered to be part of the overseas

population.

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Persons on Maritime Ships—Persons aboard maritime

ships who reported an off-ship residence were counted at

that residence. Those who did not were counted as

residents of the ship, and were attributed as follows:

1. The port where the ship was docked on Census Day,

if that port was in the United States or its territories.

2. The port of departure if the ship was at sea, provided

the port was in the United States or its territories.

3. The port of destination in the United States or its

territories, if the port of departure of a ship at sea was

a foreign port.

4. The overseas population if the ship was docked at a

foreign port or at sea between foreign ports. (These

persons were not included in the overseas population

for apportionment purposes.)

Persons Away at School—College students were counted

as residents of the area in which they were living while

attending college, as they have been since the 1950

census. Children in boarding schools below the college

level were counted at their parental home.

Persons in Institutions—Persons under formally authorized, supervised care or custody, such as in Federal or

State prisons; local jails; Federal detention centers; juvenile institutions; nursing, convalescent, and rest homes for

the aged and dependent; or homes, schools, hospitals, or

wards for the physically handicapped, mentally retarded,

or mentally ill, were counted at these places.

Persons Away From Their Usual Residence on Census

Day—Migrant agricultural workers who did not report a

usual residence elsewhere were counted as residents of

the place where they were on Census Day. Persons in

worker camps who did not report a usual residence

elsewhere were counted as residents of the camp where

they were on Census Day.

In some parts of the country, natural disasters displaced

significant numbers of households from their usual place of

residence. If these persons reported a destroyed or damaged residence as their usual residence, they were counted

at that location.

Persons away from their usual residence were counted

by means of interviews with other members of their

families, resident managers, or neighbors.

DATA COLLECTION PROCEDURES

The 1990 census was conducted primarily through

self-enumeration. The questionnaire packet included general information about the 1990 census and an instruction

guide explaining how to complete the questionnaire. Spanishlanguage questionnaires and instruction guides were available on request. Instruction guides also were available in

32 other languages.

Enumeration of Housing Units

Each housing unit in the country received one of two

versions of the census questionnaire:

1. A short-form questionnaire that contained a limited

number of basic population and housing questions;

these questions were asked of all persons and housing units and are often referred to as 100-percent

questions.

2. A long-form questionnaire that contained the 100-

percent items and a number of additional questions; a

sampling procedure was used to determine those

housing units that were to receive the long-form

questionnaire.

Three sampling rates were employed. For slightly more

than one-half of the country, one in every six housing units

(about 17 percent) received the long-form or sample

questionnaire. In functioning local governmental units (counties and incorporated places, and in some parts of the

country, towns and townships) estimated to have fewer

than 2,500 inhabitants, every other housing unit (50 percent) received the sample questionnaire in order to enhance

the reliability of the sample data for these small areas. For

census tracts and block numbering areas having more

than 2,000 housing units in the Census Bureau’s address

files, one in every eight housing units (about 13 percent)

received a sample questionnaire, providing reliable statistics for these areas while permitting the Census Bureau to

stay within a limit of 17.7 million sample questionnaires, or

a one-in-six sample, nationwide.

The mail-out/ mail-back procedure was used mainly in

cities, suburban areas, towns, and rural areas where

mailing addresses consisted of a house number and street

name. In these areas, the Census Bureau developed

mailing lists that included about 88.4 million addresses.

The questionnaires were delivered through the mail and

respondents were to return them by mail. Census questionnaires were delivered 1 week before Census Day

(April 1, 1990)

The update/ leave/ mail-back method was used mainly

in densely populated rural areas where it was difficult to

develop mailing lists because mailing addresses did not

use house number and street name. The Census Bureau

compiled lists of housing units in advance of the census.

Enumerators delivered the questionnaires, asked respondents to return them by mail, and added housing units not

on the mailing lists. This method was used mainly in the

South and Midwest, and also included some high-rise,

low-income urban areas. A variation of this method was

used in urban areas having large numbers of boarded-up

buildings. About 11 million housing units were enumerated

using this method.

The list/ enumerate method (formerly called conventional or door-to-door enumeration) was used mainly in

very remote and sparsely-settled areas. The United States

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Postal Service delivered unaddressed short-form questionnaires before Census Day. Starting a week before Census

Day, enumerators canvassed these areas, checked that all

housing units received a questionnaire, created a list of all

housing units, completed long-form questionnaires, and

picked up the completed short-form questionnaires. This

method was used mainly in the West and Northeast to

enumerate an estimated 6.5 million housing units.

Followup

Nonresponse Followup—In areas where respondents

were to mail back their questionnaires, an enumerator

visited each address from which a questionnaire was not

received.

Coverage and Edit-Failure Followup—In the mail-back

areas, some households returned a questionnaire that did

not meet specific quality standards because of incomplete

or inconsistent information, or the respondent had indicated difficulty in deciding who was to be listed on the

questionnaire. These households were contacted by telephone or by personal visit to obtain the missing information

or to clarify who was to be enumerated in the household. In

areas where an enumerator picked up the questionnaires,

the enumerator checked the respondent-filled questionnaire for completeness and consistency.

Special Enumeration Procedures

Special procedures and questionnaires were used for

the enumeration of persons in group quarters, such as

college dormitories, nursing homes, prisons, military barracks, and ships. The questionnaires (Individual Census

Reports, Military Census Reports, and Shipboard Census

Reports) included the 100-percent population questions

but did not include any housing questions. In all group

quarters, all persons were asked the basic population

questions; in most group quarters, additional questions

were asked of a sample (one-in-six) of persons.

Shelter and Street Night (S-Night)

The Census Bureau collected data for various components of the homeless population at different stages in the

1990 census. ‘‘Shelter and Street Night’’ (S-Night) was a

special census operation to count the population in four

types of locations where homeless people are found. On

the evening of March 20, 1990, and during the early

morning hours of March 21, 1990, enumerators counted

persons in pre-identified locations:

1. Emergency shelters for the homeless population (public and private; permanent and temporary).

2. Shelters with temporary lodging for runaway youths.

3. Shelters for abused women and their children.

4. Open locations in streets or other places not intended

for habitation.

Emergency shelters include all hotels and motels costing $12 or less (excluding taxes) per night regardless of

whether persons living there considered themselves to be

homeless, hotels and motels (regardless of cost) used

entirely to shelter homeless persons, and pre-identified

rooms in hotels and motels used for homeless persons

and families. Enumeration in shelters usually occurred

from 6 p.m. to midnight; street enumeration, from 2 a.m. to

4 a.m.; abandoned and boarded-up buildings from 4 a.m. to

8 a.m.; and shelters for abused women, from 6 p.m. on

March 20 to noon on March 21.

Other components, which some consider as part of the

homeless population, were enumerated as part of regular

census operations. These include persons doubled up with

other families, as well as persons with no other usual home

living in transient sites, such as commercial campgrounds,

maternity homes for unwed mothers, and drug/ alcohol

abuse detoxification centers. In institutions, such as local

jails and mental hospitals, the Census Bureau does not

know who has a usual home elsewhere; therefore, even

though some are literally homeless, these persons cannot

be identified separately as a component of the homeless

population.

There is no generally agreed-upon definition of ‘‘the

homeless,’’ and there are limitations in the census count

that prevent obtaining a total count of the homeless

population under any definition. As such, the Census

Bureau does not have a definition and will not provide a

total count of ‘‘the homeless.’’ Rather, the Census Bureau

will provide counts and characteristics of persons found at

the time of the census in selected types of living arrangements. These selected components can be used as building blocks to construct a count of homeless persons

appropriate to particular purposes as long as the data

limitations are taken into account.

In preparation for ‘‘Shelter-and-Street-Night’’ enumeration, the regional census centers (RCC’s) mailed a certified

letter (Form D-33 (L)) to the highest elected official of each

active functioning government of the United States (more

than 39,000) requesting them to identify:

1. All shelters with sleeping facilities (permanent and

temporary, such as church basements, armories,

public buildings, and so forth, that could be open on

March 20).

2. Hotels and motels used to house homeless persons

and families.

3. A list of outdoor locations where homeless persons

tend to be at night.

4. Places such as bus or train stations, subway stations,

airports, hospital emergency rooms, and so forth,

where homeless persons seek shelter at night.

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5. The specific addresses of abandoned or boarded-up

buildings where homeless persons were thought to

stay at night.

The letter from the RCC’s to the governmental units

emphasized the importance of listing night-time congregating sites. The list of shelters was expanded using information from administrative records and informed local sources.

The street sites were limited to the list provided by the

jurisdictions. All governmental units were eligible for ‘‘Shelter and Street Night.’’ For cities with 50,000 or more

persons, the Census Bureau took additional steps to

update the list of shelter and street locations if the local

jurisdiction did not respond to the certified letter. Smaller

cities and rural areas participated if the local jurisdiction

provided the Census Bureau a list of shelters or open

public places to visit or if shelters were identified through

our inventory development, local knowledge update, or

during the Special Place Prelist operation.

The Census Bureau encouraged persons familiar with

homeless persons and the homeless themselves to apply

as enumerators. This recruiting effort was particularly

successful in larger cities.

For shelters, both long- and short-form Individual Census Reports (ICR’s) were distributed. For street enumeration, only short-form ICR’s were used. Persons in shelters

and at street locations were asked the basic population

questions. Additional questions about social and economic

characteristics were asked of a sample of persons in

shelters only.

Enumerators were instructed not to ask who was homeless; rather, they were told to count all persons (including

children) staying overnight at the shelters, and everyone

they saw on the street except the police, other persons in

uniform, and persons engaged in employment or obvious

money-making activities other than begging and panhandling.

At both shelter and street sites, persons found sleeping

were not awakened to answer questions. Rather, the

enumerator answered the sex and race questions by

observation and estimated the person’s age to the best of

his or her ability. In shelters, administrative records and

information from the shelter operator were used, when

available, for persons who were already asleep.

Less than 1 percent of shelters refused to participate in

the census count at first. By the end of the census period,

most of those eventually cooperated and the number of

refusals had been reduced to a few. For the final refusals,

head counts and population characteristics were obtained

by enumerators standing outside such shelters and counting people as they left in the morning.

The ‘‘street’’ count was restricted to persons who were

visible when the enumerator came to the open, public

locations that had been identified by local jurisdictions.

Homeless persons who were well hidden, moving about, or

in locations other than those identified by the local governments were likely missed. The number missed will

never be known and there is no basis to make an estimate

of the number missed from census data. The count of

persons in open, public places was affected by many

factors, including the extra efforts made to encourage

people to go to shelters for ‘‘Shelter and Street Night,’’ the

weather (which was unusually cold in many parts of the

country), the presence of the media, and distrust of the

census. Expectations of the number of homeless persons

on the street cannot be based on the number seen during

the day because the night-time situation is normally very

different as more homeless persons are in shelters or very

well hidden.

For both ‘‘Shelter-and-Street-Night’’ locations, the Census Bureau assumed that the usual home of those enumerated was in the block where they were found (shelter

or street).

The ‘‘Shelter-and-Street-Night’’ operation replaced and

expanded the 1980 Mission Night (M-Night) and Casual

Count operations. These two operations were aimed at

counting the population who reported having no usual

residence. M-Night was conducted a week after Census

Day, in April 1980. Enumerators visited hotels, motels, and

similar places costing $4 or less each night; missions,

flophouses, local jails and similar places at which the

average length of stay was 30 days or less; and nonshelter

locations, such as bus depots, train stations, and all night

movie theaters. Questions were asked of everyone, regardless of age. Enumerators conducted M-Night up to midnight on April 8, 1980, and returned the next morning to

collect any forms completed after midnight.

The Casual Count operation was conducted in May

1980 at additional nonshelter locations, such as street

corners, pool halls, welfare and employment offices. This

operation lasted for approximately 2 weeks. Casual Count

was conducted during the day only in selected large

central cities. Only persons who appeared to be at least 15

years of age were asked if they had been previously

enumerated. Casual Count was actually a coverage-improvement operation. It was not specifically an operation to

count homeless persons living in the streets. Persons were

excluded if they said they had a usual home outside the

city because it was not cost effective to check through

individual questionnaires in another city to try to find the

person.

PROCESSING PROCEDURES

Respondents returned many census questionnaires by

mail to 1 of over 344 census district offices or to one of six

processing offices. In these offices, the questionnaires

were ‘‘checked in’’ and edited for completeness and

consistency of the responses. After this initial processing

had been performed, all questionnaires were sent to the

processing offices.

In the processing offices, the household questionnaires

were microfilmed and processed by the Film Optical

Sensing Device for Input to Computers (FOSDIC). For

most items on the questionnaire, the information supplied

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by the respondent was indicated by filling circles in predesignated positions. FOSDIC electronically ‘‘read’’ these

filled circles from the microfilm copy of the questionnaire

and transferred the information to computer tape. The

computer tape did not include individual names, addresses,

or handwritten responses.

The data processing was performed in several stages.

All questionnaires were microfilmed, ‘‘read’’ by FOSDIC,

and transferred to computer disk. Selected written entries

in the race question on both the short and long forms were

keyed from the microfilm and coded using the data base

developed from the 1980 census and subsequent content

and operational tests. Keying of other written entries on

the long forms occurred in the seven processing offices.

The information (for example, income dollar amounts or

homeowner shelter costs) on these keyed files was merged

with the FOSDIC data or processed further through one of

three automated coding programs. The codes for industry,

occupation, place-of-birth, migration, place-of-work, ancestry, language, relationship, race, and Hispanic origin were

merged with the FOSDIC data for editing, weighting, and

tabulating operations at Census Bureau headquarters. All

responses to the questions on Individual Census Reports

(ICR’s), Military Census Reports (MCR’s), and Shipboard

Census Reports (SCR’s) were keyed, not processed by

microfilm or FOSDIC.

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APPENDIX E.

Facsimiles of Respondent Instructions and

Questionnaire Pages

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APPENDIX F.

Data Products and User Assistance

CONTENTS

Data Products --------------------------------------------- F–1

Geographic Products -------------------------------------- F–3

Other Census Bureau Resources -------------------------- F–5

Reference Materials --------------------------------------- F–4

Sources of Assistance ------------------------------------- F–4

The 1990 census data products, being released during

1991-93, are available in a variety of new and traditional

media. The Census Bureau has increased the product

options available to data users in an effort to meet a variety

of requirements and maximize the usefulness of the data.

For example,laser discs,called CD-ROM (compact disc—readonly memory), are a new data delivery medium.

The Census Bureau also has expanded services and

sources of assistance available to data users. For example, the State Data Center Program has been expanded to

include over 1,400 organizations to provide data and

services to the public.

This appendix provides a detailed introduction to the

1990 census data products and related materials, such as

maps and reference publications. It concludes by describing sources of assistance and other Census Bureau data

available to the public.

DATA PRODUCTS

Printed reports and computer tape files traditionally are

the most widely used products. The Census Bureau also

offers data on microfiche, on CD-ROM laser discs, and

through its online service, CENDATATM. These various

products are described below. For information about prices

and how to order, write or call Customer Services. (See the

‘‘Sources of Assistance’’ section for the address and

phone number.)

The data products present statistics about the subjects

covered in the 1990 census questionnaires. These subjects are listed in figure 1, page F–7. As the figure shows,

there are 100-percent subjects (those covered in questions asked of everyone or about every housing unit) and

sample subjects (those covered in questions asked at

about one out of every six housing units). Generally, a data

product presents either 100-percent data prepared by

tabulating the responses to the 100-percent questions

from all questionnaires, or sample data prepared by tabulating only the responses to the 100-percent and sample

questions from the ‘‘long-form’’ questionnaires. Two report

series, 1990 CPH-3 and 1990 CPH-4 (see figure 2, page

F–8), present both 100-percent and sample data.

Printed Reports

Printed reports are the most convenient and readily

available source of data for most census users. The

Census Bureau releases the reports in several series (see

figure 2) that are grouped under three broad titles: 1990

Census of Population and Housing (1990 CPH), 1990

Census of Population (1990 CP), and 1990 Census of

Housing (1990 CH). There also are reports, not reflected in

figure 2, for the outlying areas of the Pacific. The reports

are sold by the Superintendent of Documents, U.S. Government Printing Office. (See the ‘‘Sources of Assistance’’

section for the address and phone number.)

In several series, there are separate reports for each

State. The geographic coverage of the State reports is

listed in figure 2. The United States summaries for these

report series contain, for the most part, data for the United

States, regions, divisions, States, metropolitan areas (MA’s),

urbanized areas (UA’s), counties, American Indian and

Alaska Native areas, places with 10,000 or more persons,

and other large substate areas (for example, county subdivisions, such as towns and townships, with 10,000 or

more persons in selected States).

Report series that present data for small areas, such as

census tracts, contain limited subject-matter detail (for

example, counts of people by age ranges—under 5 years,

5 to 9 years, etc.—rather than by single years). Report

series that include greater amounts of subject-matter detail

include less geographic detail.

Computer Tape Files

The Census Bureau provides more data on tape and

other machine-readable products than in printed reports.

These products are sold by the Census Bureau’s Customer Services. There are several general types of data

files released on computer tape (available on both reels

and cartridges). They are introduced below, and more

information is presented in figures 3 and 4, pages F–11

through F–13.

Public Law 94-171 Data—This data file presents the

counts designed and formatted for use in legislative redistricting. These counts also are available on CD-ROM

and paper listings. Excerpts are available on

CENDATATM. The counts, for areas as small as blocks,

census tracts, and voting districts, include totals for population, race groups, persons of Hispanic origin, population

18 years and over, and housing units. (See figure 4.)

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Summary Tape Files (STF’s)— These computer tape files

provide statistics with greater subject-matter detail than

printed reports. They also present statistics for some types

of areas, such as block groups and blocks, that are not

included in the reports. (See figure 3.)

Here are some important features of STF’s:

• Each STF presents a particular set of data tables for

specific types of geographic areas.

• Each STF has three or more file types (indicated by a

letter suffix attached to the STF number) that differ in the

geographic levels reported, but contain the same data

detail.

• STF’s 1 and 2 contain 100-percent data, and STF’s 3

and 4 offer sample data.

• STF’s 1 and 3 report on smaller areas and offer less

data detail than STF’s 2 and 4.

• STF’s 1 through 4 offer greater data detail than the 1980

STF’s 1 through 4.

Subject Summary Tape Files (SSTF’s)—These files are

the source of the subject reports and provide greater

subject-matter detail than the STF’s. They present data for

the United States, regions, and divisions, and, in some

cases, also for States, counties, and large cities. (See

figure 4.)

Public Use Microdata Sample (PUMS) Files—These

computer tape files (see figure 4) contain data from

samples of long-form housing-unit records (‘‘microdata’’) for large geographic areas. Each sample housingunit record includes essentially all the 1990 census data

collected about each person in a sample household and

the characteristics of the housing unit. Information that

could be used to identify an individual or a housing unit is

not included in the file.

Microdata files enable users to prepare customized

tabulations and cross-tabulations of most items on the

census questionnaire. There are two PUMS files:

• A file presenting a 5-percent sample of housing units in

which each household record includes codes to let the

user know in what area, such as a group of counties, a

single county, or a place, the household is located. Each

area identified must have a population of at least 100,000

and boundaries that do not cross State lines.

• A file presenting a 1-percent sample of housing units. Its

household records include codes associating them with

MA’s and other large areas, the boundaries of which

may cross State lines. (For the 1980 census, there were

two files with 1-percent samples. The 1-percent sample

showing data for selected urbanized areas and other

large areas will not be produced for the 1990 census.)

Other Special Computer Tape Files—Other files include

the Census/ Equal Employment Opportunity (EEO) Special

File and the County-to-County Migration File. (See figure

4.) The Census Bureau may prepare additional special

files.

Microfiche

Block statistics are available on microfiche as they were

for the 1980 census. The microfiche present, in table

format, a subset of the tabulations for census blocks found

in STF 1B (see figure 3). In the 1990 census, for the first

time, the entire land area of the Nation and its possessions

was block-numbered. This increased the number of blocks

for which the Census Bureau provides data from 2.5 million

in 1980 to 7 million for 1990. The cost and storage of block

data of this magnitude would be prohibitive if the data were

published in printed reports.

STF’s 1A and 3A are available on microfiche, as well. As

noted in figure 3, they provide data for a variety of

geographic areas. Also, all printed reports are offered on

microfiche from Customer Services soon after they are

published.

Compact Disc—Read-Only Memory (CD-ROM)

For the 1990 census, the Public Law (P.L.) 94-171 file;

an extract of STF 1B that presents selected statistics for

blocks; and STF’s 1A, 1C, 3A, 3B, and 3C are also

available on CD-ROM. (One 4 3/ 4-inch CD-ROM, a type of

optical or laser disc, can hold the contents of approximately 1,600 flexible diskettes, or three or four highdensity computer tapes.)

Online Information Systems

The Census Bureau began CENDATATM, its online

information service, in 1984. CENDATATM is accessible

through two information vendors, CompuServe and

DIALOG. A number of Census Bureau reports, in whole

or in part, are offered online. For the 1990 census,

CENDATATM provides up-to-date information about the

availability of data products and carries selections of State,

county, MA, and place data from the P.L. 94-171 tape file

and STF’s 1 and 3.

Custom Data Products

These products are for users who require unique tabulations that are not included in standard products; for

example, information for locally defined geographic areas.

Users also can order special microdata files.

The cost of preparing custom products must be paid by

the users who request them. Any data that the Census

Bureau provides in these products are subject to the same

standards applied to other data to ensure that confidential

individual information is not revealed.

User-Defined Areas Program (UDAP) Tabulations—

UDAP can provide a set of predefined data tables for

locally defined areas that do not correspond to standard

1990 census geographic areas. Users identify the geographic areas of interest to them by delineating boundaries

around groupings of census blocks on 1990 census County

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Block Maps or by electronically submitting the geographic

components of their area of interest. (A contact for more

information is given in the ‘‘Sources of Assistance’’ section.)

Special Tabulations—The Census Bureau can prepare

special data tabulations for any specific geographic or

subject-matter area. Users should rely on standard reports,

tapes, microfiche, or user-defined area tabulations whenever possible, since special tabulations tend to be substantially more expensive and take time to arrange and produce. (Contacts for more information are given in the

‘‘Sources of Assistance’’ section.)

GEOGRAPHIC PRODUCTS

Maps

Census Bureau maps are necessary for virtually all uses

of small-area 1990 census data. They are needed to locate

the specific geographic areas for which the census provides data and to study the spatial relationship of the data

for analytic purposes. The Census Bureau prepares a

variety of 1990 census maps. Among the most useful are

these four series:

County Block Maps—These maps show census blocks

and their numbers; boundaries for statistical and governmental entities, such as census tracts and places; and

physical features. The P.L. 94-171 version of these maps

also shows voting district boundaries in those States that

furnished them. The maps are prepared on electrostatic

plotters by county (or equivalent entity) with one or more

map sheets each, depending on the size and shape of the

area and the density of the block pattern. An average

county requires 20 map sheets. The maps may be purchased from Customer Services.

County Subdivision Outline Maps—Maps in this Statebased series present the boundaries of the counties,

county subdivisions, places, American Indian and Alaska

Native areas (including off-reservation trust lands), tribal

designated statistical areas, and tribal jurisdiction statistical areas. Electrostatic-plotter copies are available for

purchase from Customer Services. Also, they appear on

multiple page-size sheets in the State reports of these

series: 1990 CPH-1, 1990 CPH-2, 1990 CPH-5, 1990 CP-1,

1990 CP-2, 1990 CH-1, and 1990 CH-2.

Census Tract/ Block Numbering Area (BNA) Outline

Maps—Maps in this county-based series depict census

tract or BNA boundaries and numbers, and the features

underlying the boundaries. They also show governmental

units in relation to the census tracts/ BNA’s. 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.

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TIGER/ LineTM files and other TIGER System extracts,

such as TIGER/ BoundaryTM and TIGER/ DataBaseTM, are

released on computer tape and, in some cases, CD-ROM.

For information on TIGER extract files, contact Customer

Services.

REFERENCE MATERIALS

The Census Bureau issues several reference publications for data users. Some are sold by the Superintendent

of Documents; others are distributed free by Customer

Services. Addresses and phone numbers for the Superintendent of Documents and Customer Services are given in

the following section.

• 1990 Census of Population and Housing, Guide. This

guide, in the 1990 CPH-R report series, provides detailed

information about all aspects of the census and a

comprehensive glossary of census terms. Sold by the

Superintendent of Documents, U.S. Government Printing Office.

• 1990 Census of Population and Housing Tabulation and

Publication Program. A free report describing 1990

census products, comparing 1990 products with those

of 1980, and more. Request from Customer Services.

• Census ’90 Basics. A free booklet covering how the

1990 census data were collected and processed, the full

range of data products, the maps and geographic files,

and more, but with less detail than the Guide (above).

Request from Customer Services.

• Census ABC’s—Applications in Business and Community. A free booklet that highlights key information about

the 1990 census and illustrates a variety of ways the

data can be used. Request from Customer Services.

• Strength in Numbers. A free, tabloid-size booklet designed

to assist people in using 1990 census data in redistricting. Among other features, it includes illustrations of

maps and Public Law 94-171 counts. Request from

Customer Services.

• TIGER: The Coast-to-Coast Digital Map Data Base. A

free booklet describing the structure and uses of the

Census Bureau’s TIGER System. Request from Customer Services.

• Census and You. The Census Bureau’s monthly newsletter for data users. It reports on the latest 1990 census

developments, selected new publications and computer

tape files, other censuses and surveys, developments in

services to users, and upcoming conferences and training courses. Subscriptions are sold by the Superintendent of Documents, U.S. Government Printing Office.

• Monthly Product Announcement. A free monthly listing

of all new Census Bureau publications; microfiche; maps;

data files on tape, diskettes, or CD-ROM; and technical

documentation. To subscribe, contact Customer Services.

• Census Catalog and Guide. A comprehensive annual

description of data products, statistical programs, and

services of the Census Bureau. It provides abstracts of

the publications, data files, microfiche, maps, and items

online. In addition, the Catalog/ Guide offers such features as information about censuses and surveys and

telephone contact lists of data specialists at the Census

Bureau, the State Data Centers, and other data processing service centers. It is sold by the Superintendent of

Documents, U.S. Government Printing Office.

Users also can get listings of new Census Bureau

products, updated daily, by subscribing to the Daily List.

This information and selected statistics are available online

through CENDATATM, the Census Bureau’s online information service. For more information, contact Customer

Services.

SOURCES OF ASSISTANCE

U.S. Bureau of the Census

The Census Bureau’s Customer Services sells most of

the machine-readable data products, microfiche, and maps

described earlier. (The 1990 census printed reports are

sold by the Superintendent of Documents, as noted below.)

Also, users may consult with specialists at the Census

Bureau’s Washington headquarters and its 12 regional

offices. From time to time, the specialists also conduct

workshops, seminars, and training courses.

Washington, DC, Contacts—To order products, for a

telephone contacts list of Census Bureau specialists, and

for general information: Customer Services, U.S. Bureau

of the Census, Washington, DC 20233, telephone 301-

763-4100 (fax number, 301-763-4794).

For User-Defined Areas Program (UDAP) information:

UDAP Staff, Decennial Planning Division, U.S. Bureau of

the Census, Washington, DC 20233, telephone 301-763-

4282.

For special tabulation information: Population—Rosemarie Cowan, Population Division, U.S. Bureau of the

Census, Washington, DC 20233, telephone 301-763-5476;

Housing—William Downs, Housing and Household Economic Statistics, U.S. Bureau of the Census, Washington,

DC 20233, telephone 301-763-8553.

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Regional Office Contacts—

Atlanta, GA 404-347-2274

Boston, MA 617-565-7078

Charlotte, NC 704-371-6144

Chicago, IL 312-353-0980

Dallas, TX 214-767-7105

Denver, CO 303-969-7750

Detroit, MI 313-354-4654

Kansas City, KS 913-236-3711

Los Angeles, CA 818-904-6339

New York, NY 212-264-4730

Philadelphia, PA 215-597-8313

Seattle, WA 206-728-5314

Superintendent of Documents, U.S. Government

Printing Office

The Superintendent of Documents handles the sale of

most of the Federal Government’s publications, including

1990 census reports. To order reports and for information:

Superintendent of Documents, U.S. Government Printing

Office, Washington, DC 20402, telephone 202-783-3238.

Other Sources of Products and Services

State Data Centers—The Census Bureau furnishes data

products, training in data access and use, technical assistance, and consultation to all States, the District of Columbia, Guam, Puerto Rico, and the U.S. Virgin Islands. State

Data Centers, in turn, offer publications for reference,

printouts from computer tape, specially prepared reports,

maps, and other products and assistance to data users.

For a list of the State Data Centers, see the Census

Catalog and Guide or contact Customer Services. The list

also notes organizations in States participating in the

Census Bureau’s Business/ Industry Data Center (BIDC)

Program. The BIDC’s help business people, economic

development planners, and other data users obtain and

use data.

Census Information Center (CIC)—The CIC program

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 the project, five

nonprofit groups now offer their clientele reports, computer

tape printouts, and other information from the Census

Bureau. To learn more about the program, write to the

Census Information Center Branch, Data User Services

Division, Bureau of the Census, Washington, DC 20233, or

call 301-763-1384.

National Clearinghouse—The National Clearinghouse for

Census Data Services is a listing of private companies and

other organizations that offer assistance in obtaining and

using data released by the Census Bureau. For a list of

participants in the National Clearinghouse, see the Census

Catalog and Guide or contact Customer Services.

Depository Libraries—There are 1,400 libraries that receive

(from the Government Printing Office) Federal publications

that they think their patrons will need. Often some of these

publications are Census Bureau reports. The Census Bureau

provides free reports to an additional 120 census depository libraries. Also, many libraries purchase census reports

and maps for their areas. The Census Catalog and Guide

includes a list of all depository libraries.

OTHER CENSUS BUREAU RESOURCES

The Census Bureau has more to offer than just the

results of the census of population and housing. Through

other censuses, surveys, and estimates programs, it compiles and issues (in reports, computer tape, and other

media) data on subjects as diverse as appliance sales,

neighborhood conditions, and exports to other countries.

Here are examples of the information published about—

• People: Age, race, sex, income, poverty, child care,

child support, fertility, noncash benefits, education, commuting habits, pension coverage, unemployment, ancestry.

• Business and industry: Number of employees, total payroll, sales and receipts, products manufactured or sold.

• Housing and construction: Value of new construction,

numbers of owners and renters, property value or rent

paid, housing starts, fuels used, mortgage costs.

• Farms: Number, acreage, livestock, crop sales.

• Governments: Revenues and expenditures, taxes, employment, pension funds.

• Foreign trade: Exports and imports, origin and destination, units shipped.

• Other nations: Population, birth rates, death rates, literacy, fertility.

The other censuses, such as agriculture, retail trade,

manufactures, and governments, are collected for years

ending in ‘‘2’’ and ‘‘7.’’ Surveys and estimates programs

generate results as often as every month.

Many of the monthly ‘‘economic indicators’’ that measure how the Nation is doing come directly or indirectly

from the Census Bureau. Examples: employment and

unemployment; housing starts; wholesale and retail trade;

manufacturers’ shipments, inventories, and orders; export

and import trade; and sales of single-family homes.

The other statistical activities of the Census Bureau are

described below. Data users will find more information

about them and descriptions of their data products in the

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annual Census Catalog and Guide. Also, special guides

and brochures are prepared for most of them. Contact the

Census Bureau’s Customer Services for more information.

Current Demographic and Housing Programs

Two types of current programs complement the 10-year

census: population estimates and surveys. The total population of the United States is estimated monthly; the

population of States, counties, and metropolitan areas is

estimated annually; and the population of places and other

governmental units is estimated every 2 years. Projections

of future population are made at the national and State

levels.

The Census Bureau’s many household surveys update

population and housing characteristics at the national level

and sometimes for States and metropolitan areas, as well.

These surveys also obtain many characteristics not included

in the 10-year census. The Current Population Survey is

taken monthly; the American Housing Survey national

sample is taken biennially; the American Housing Survey

metropolitan sample is taken in 44 areas, 11 per year in a

4-year cycle; most other surveys are annual or less frequent.

Economic Censuses and Surveys

The economic censuses provide statistics about business establishments once every 5 years, covering years

ending in ‘‘2’’ and ‘‘7.’’ The 1987 Economic Censuses

include the censuses of retail trade, wholesale trade,

service industries, transportation, manufactures, mineral

industries, and construction industries. Also included are

related programs, such as statistics on minority- and

women-owned businesses, enterprise statistics, and censuses of economic activity in Puerto Rico and some of the

outlying areas under U.S. jurisdiction.

Several key statistics are tabulated for all industries

covered in the censuses. They are number of establishments, number of employees, payroll, and measure of

output (sales or receipts, and value of shipments or of work

done). Other items vary from sector to sector.

The Census Bureau also has programs that provide

current statistics on such measures as total sales of

particular kinds of businesses or production of particular

products. These programs include monthly, quarterly, and

annual surveys, the results of which appear in publication

series such as Current Business Reports and Current

Industrial Reports. The County Business Patterns program

offers annual statistics based on data compiled primarily

from administrative records.

Agriculture Census and Surveys

The agriculture census is conducted concurrently with

the economic censuses. It is the only source of uniform

agriculture data at the county level. It provides data on

such subjects as the number and size of farms; land use

and ownership; livestock, poultry, and crops; and value of

products sold.

Results of three surveys—the 1988 Farm and Ranch

Irrigation Survey, 1988 Census of Horticulture Specialties,

and 1988 Agricultural Economics and Land Ownership

Survey—are published in conjunction with the 1987 Census of Agriculture. Also, the Census Bureau regularly

issues reports from a survey on cotton ginnings.

Governments Census and Surveys

The census of governments, also for years ending in

‘‘2’’ and ‘‘7,’’ covers all types of governments: Federal,

State, county, municipal (place), township (county subdivision), school district, and special district. It provides data

on such subjects as number of public employees, payrolls,

revenue, and expenditures.

Annual and quarterly surveys cover the same principal

subjects but generate data only for States and the largest

local governments.

Foreign Trade Statistics

Monthly U.S. merchandise trade data compiled by the

Census Bureau summarize export and import transactions

and are based on the official documents filed by shippers

and receivers. These figures reflect the flow of merchandise but not intangibles like services and financial commitments. The trade figures trace commodity movements out

of and into the U.S. Customs jurisdiction, which includes

Puerto Rico and the U.S. Virgin Islands as well as the 50

States and the District of Columbia. Data are published

separately on trade between the United States and Puerto

Rico, the U.S. Virgin Islands, and other U.S. possessions.

Other Statistical Activities

The Census Bureau also offers international data. It

maintains an international data base which is available to

the public on computer tape and is used to produce the

biennial World Population Profile report. It prepares studies

dealing with the demographic and economic characteristics of other countries and world regions.

Statistical compendia are another important data product. These publications (sometimes also offered in machinereadable form) draw data from many sources and reorganize them for convenient use. The most widely used

compendia are the annual Statistical Abstract of the United

States, the County and City Data Book (published every 5

years), and the State and Metropolitan Area Data Book

(published approximately every 4 years).

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Figure 1. 1990 Census Content

100-PERCENT COMPONENT

Population Housing

Household relationship Number of units in structure

Sex Number of rooms in unit

Race Tenure—owned or rented

Age Value of home or monthly rent

Marital status Congregate housing (meals included in rent)

Hispanic origin Vacancy characteristics

SAMPLE COMPONENT

Population Housing

Social characteristics: Year moved into residence

Education—enrollment and attainment Number of bedrooms

Place of birth, citizenship, and year of entry into U.S. Plumbing and kitchen facilities

Ancestry Telephone in unit

Language spoken at home Vehicles available

Migration (residence in 1985) Heating fuel

Disability Source of water and method of sewage disposal

Fertility Year structure built

Veteran status Condominium status

Farm residence

Economic characteristics: Shelter costs, including utilities

Labor force

Occupation, industry, and class of worker

Place of work and journey to work

Work experience in 1989

Income in 1989

Year last worked

NOTE: Questions dealing with the subjects covered in the 100-percent component were asked of all persons and housing units. Those covered by

the sample component were asked of a sample of the population and housing units.

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Figure 2. 1990 Census Printed Reports

Series Title

Report(s)

issued for Description Geographic areas

1990 CENSUS OF POPULATION AND HOUSING (1990 CPH)

100-Percent Data

1990

CPH-1

Summary Population and Housing

Characteristics

U.S., States, DC,

Puerto Rico, and

U.S. Virgin

Islands

Population and housing

unit counts, and summary

statistics on age, sex,

race, Hispanic origin,

household relationship,

units in structure, value

and rent, number of

rooms, tenure, and

vacancy characteristics

Local governmental units (i.e.,

counties, places, and towns and

townships), other county subdivisions, and American Indian and

Alaska Native areas

1990

CPH-2

Population and

Housing Unit

Counts

U.S., States, DC,

Puerto Rico, and

U.S. Virgin

Islands

Total population and

housing unit counts for

1990 and previous censuses

States, counties, county subdivisions, places, State component

parts of metropolitan areas (MA’s)

and urbanized areas (UA’s), and

summary geographic areas (for

example, urban and rural)

100-Percent and Sample Data

1990

CPH-3

Population and

Housing Characteristics for Census Tracts and

Block Numbering

Areas

MA’s, and the

nonmetropolitan

balance of each

State, Puerto

Rico, and U.S.

Virgin Islands

Statistics on 100-percent

and sample population

and housing subjects

In MA’s: census tracts/ block numbering areas (BNA’s), places of

10,000 or more inhabitants, and

counties. In the remainder of each

State: census tracts/ BNA’s, places

of 10,000 or more, and counties

1990

CPH-4

Population and

Housing Characteristics for Congressional Districts

of the 103rd Congress

States and DC Statistics on 100-percent

and sample population

and housing subjects

Congressional districts (CD’s) and,

within CD’s, counties, places of

10,000 or more inhabitants, county

subdivisions of 10,000 or more

inhabitants in selected States, and

American Indian and Alaska Native

areas

Sample Data

1990

CPH-5

Summary Social,

Economic, and

Housing Characteristics

U.S., States, DC,

Puerto Rico, and

U.S. Virgin

Islands

Statistics generally on

sample population and

housing subjects

Local governmental units (i.e.,

counties, places, and towns and

townships), other county subdivisions, and American Indian and

Alaska Native areas

1990 CENSUS OF POPULATION (1990 CP)

100-Percent Data

1990

CP-1

General Population

Characteristics

U.S., States, DC,

Puerto Rico, and

U.S. Virgin

Islands

Detailed statistics on age,

sex, race, Hispanic origin,

marital status, and household relationship characteristics

States, counties, places of 1,000

or more inhabitants, county subdivisions of 1,000 or more inhabitants in selected States, State parts

of American Indian areas, Alaska

Native areas, and summary geographic areas such as urban and

rural

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Figure 2. 1990 Census Printed Reports—Con.

Series Title

Report(s)

issued for Description Geographic areas

1990 CENSUS OF POPULATION (1990 CP)—Con.

100-Percent Data—Con.

1990

CP-1-1A

General Population

Characteristics for

American Indian

and Alaska Native

Areas

U.S. Detailed statistics on age,

sex, race, Hispanic origin,

marital status, and household relationship characteristics

American Indian and Alaska Native

areas; i.e., American Indian reservations, off-reservation trust lands,

tribal jurisdiction statistical areas

(Oklahoma), tribal designated statistical areas, Alaska Native village

statistical areas, and Alaska Native

Regional Corporations

1990

CP-1-1B

General Population

Characteristics for

Metropolitan Areas

U.S. Detailed statistics on age,

sex, race, Hispanic origin,

marital status, and household relationship characteristics

Individual MA’s. For MA’s split by

State boundaries, summaries are

provided both for the parts and for

the whole MA

1990

CP-1-1C

General Population

Characteristics for

Urbanized Areas

U.S. Detailed statistics on age,

sex, race, Hispanic origin,

marital status, and household relationship characteristics

Individual UA’s. For UA‘s split by

State boundaries, summaries are

provided both for the parts and for

the whole UA

Sample Data

1990

CP-2

Social and Economic CharacteristicsU.S., States, DC,

Puerto Rico, and

U.S. Virgin

Islands

Statistics generally on

sample population subjects

States (including summaries such

as urban and rural), counties,

places of 2,500 or more inhabitants, county subdivisions of 2,500

or more inhabitants in selected

States, Alaska Native areas, and

the State portion of American

Indian areas

1990

CP-2-1A

Social and Economic Characteristics for American

Indian and Alaska

Native Areas

U.S. Statistics generally on

sample population subjects

American Indian and Alaska Native

areas, as for CP-1-1A

1990

CP-2-1B

Social and Economic Characteristics for Metropolitan AreasU.S. Statistics generally on

sample population subjects

Individual MA’s, as for

CP-1-1B

1990

CP-2-1C

Social and Economic Characteristics for Urbanized

Areas

U.S. Statistics generally on

sample population subjects

Individual UA’s, as for

CP-1-1C

1990

CP-3

Population Subject

Reports

Selected subjects Approximately 30 reports

on population census subjects such as migration,

education, income, the

older population, and

racial and ethnic groups

Generally limited to the U.S.,

regions, and divisions; for some

reports, other highly populated

areas such as States, MA’s, counties, and large places

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Figure 2. 1990 Census Printed Reports—Con.

Series Title

Report(s)

issued for Description Geographic areas

1990 CENSUS OF HOUSING (1990 CH)

100-Percent Data

1990

CH-1

General Housing

Characteristics

U.S., States, DC,

Puerto Rico, and

U.S. Virgin

Islands

Detailed statistics on units

in structure, value and

rent, number of rooms,

tenure, and vacancy characteristics

States, counties, places of 1,000

or more inhabitants, county subdivisions of 1,000 or more inhabitants in selected States, State parts

of American Indian areas, Alaska

Native areas, and summary geographic areas such as urban and

rural

1990

CH-1-1A

General Housing

Characteristics for

American Indian

and Alaska Native

Areas

U.S. Detailed statistics on units

in structure, value and

rent, number of rooms,

tenure, and vacancy characteristics

American Indian and Alaska Native

areas; i.e., American Indian reservations, trust lands, tribal jurisdiction statistical areas (Oklahoma),

tribal designated statistical areas,

Alaska Native village statistical

areas, and Alaska Native Regional

Corporations

1990

CH-1-1B

General Housing

Characteristics for

Metropolitan Areas

U.S. Detailed statistics on units

in structure, value and

rent, number of rooms,

tenure, and vacancy characteristics

Individual MA’s. For MA’s split by

State boundaries, summaries are

provided both for the parts and for

the whole MA

1990

CH-1-1C

General Housing

Characteristics for

Urbanized Areas

U.S. Detailed statistics on units

in structure, value and

rent, number of rooms,

tenure, and vacancy characteristics

Individual UA’s. For UA’s split by

State boundaries, summaries are

provided both for the parts and for

the whole UA

Sample Data

1990

CH-2

Detailed Housing

Characteristics

U.S., States, DC,

Puerto Rico, and

U.S. Virgin

Islands

Statistics generally on

sample housing subjects

States (including summaries such

as urban and rural), counties,

places of 2,500 or more inhabitants, county subdivisions of 2,500

or more inhabitants in selected

States, Alaska Native areas, and

State parts of American Indian

areas

1990

CH-2-1A

Detailed Housing

Characteristics for

American Indian

and Alaska Native

Areas

U.S. Statistics generally on

sample housing subjects

American Indian and Alaska Native

areas, as in 1990

CH-1-1A

1990

CH-2-1B

Detailed Housing

Characteristics for

Metropolitan Areas

U.S. Statistics generally on

sample housing subjects

Individual MA’s, as in 1990

CH-1-1B

1990

CH-2-1C

Detailed Housing

Characteristics for

Urbanized Areas

U.S. Statistics generally on

sample housing subjects

Individual UA’s, as in 1990

CH-1-1C

1990

CH-3

Housing Subject

Reports

Selected subjects Approximately 10 reports

on housing census subjects such as structural

characteristics and space

utilization

Generally limited to U.S., regions,

and divisions; for some reports,

other highly populated areas such

as States, MA’s, counties, and

large places

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Figure 3. 1990 Census Summary Tape Files

Summary Tape File

(STF 1A, 1B, etc.)

and data type

(100 percent or

sample)1 Geographic areas Description

A2 3 States, counties, county subdivisions, places, census

tracts/ block numbering areas (BNA’s), block groups

(BG’s). Also Alaska Native areas and State parts of American Indian areas

Over 900 cells/ items of 100-

percent population and housing

counts and characteristics for each

geographic area

B2 3 States, counties, county subdivisions, places, census

tracts/ BNA’s, BG’s, blocks. Also Alaska Native areas and

State parts of American Indian areas

STF 1 C3

(100 percent)

U.S., regions, divisions, States (including summaries such

as urban and rural), counties, places of 10,000 or more

inhabitants, county subdivisions of 10,000 or more inhabitants in selected States, metropolitan areas (MA’s), urbanized areas (UA’s), American Indian and Alaska Native

areas

D Congressional districts (CD’s) of the 103rd Congress by

State; and within each CD: counties, places of 10,000 or

more inhabitants, county subdivisions of 10,000 or more

inhabitants in selected States, Alaska Native areas, and

American Indian areas

A In MA’s: counties, places of 10,000 or more inhabitants,

and census tracts/ BNA’s. In the remainder of each State:

counties, places of 10,000 or more inhabitants, and census tracts/ BNA’s

Over 2,100 cells/ items of 100-

percent population and housing

counts and characteristics for each

geographic area. Each of the STF

2 files will include a set of tabulations for the total population and

separate presentations of tabulations by race and Hispanic origin

STF 2 B

(100 percent)

States (including summaries such as urban and rural),

counties, places of 1,000 or more inhabitants, county subdivisions, State parts of American Indian areas, and Alaska

Native areas

C U.S., regions, divisions, States (including summaries such

as urban and rural), counties, places of 10,000 or more

inhabitants, county subdivisions of 10,000 or more inhabitants in selected States, all county subdivisions in New

England MA’s, American Indian and Alaska Native areas,

MA’s, UA’s

A2 3 States, counties, county subdivisions, places, census

tracts/ BNA’s, BG’s. Also Alaska Native areas and State

parts of American Indian areas

Over 3,300 cells/ items of sample

population and housing characteristics for each geographic area

B3 Five-digit ZIP Codes within each State

STF 3 C3

(Sample)

U.S., regions, divisions, States, counties, places of 10,000

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

inhabitants in selected States, American Indian and Alaska

Native areas, MA’s, UA’s

D CD’s of the 103rd Congress by State; and within each CD:

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

subdivisions of 10,000 or more inhabitants in selected

States

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Figure 3. 1990 Census Summary Tape Files—Con.

Summary Tape File

(STF 1A, 1B, etc.)

and data type

(100 percent or

sample)1 Geographic areas Description

A In MA’s: counties, places of 10,000 or more inhabitants,

and census tracts/ BNA’s. In the remainder of each State:

counties, places of 10,000 or more inhabitants, and census tracts/ BNA’s

Over 8,500 cells/ items of sample

population and housing characteristics for each geographic area.

Each of the STF 4 files will include

a set of tabulations for the total

population and separate presentations of tabulations by race and

Hispanic origin.

STF 4 B

(Sample)

State (including summaries such as urban and rural), counties, places of 2,500 or more inhabitants, county subdivisions of 2,500 or more inhabitants in selected States, all

county subdivisions in New England MA’s, State parts of

American Indian areas, and Alaska Native areas

C U.S., regions, divisions, States (including urban and rural

and metropolitan and nonmetropolitan components), counties, places of 10,000 or more inhabitants, county subdivisions of 10,000 or more inhabitants in selected States, all

county subdivisions in New England MA’s, American Indian

and Alaska Native areas, MA’s, UA’s

1

Similar STF’s will be prepared for Puerto Rico and the U.S. Virgin Islands.

2

Also available on microfiche. STF 1B microfiche provides only part of the data for blocks and other areas in the tape file.

3

Also available on laser disc (CD-ROM). STF 1B CD-ROM presents the same file extract as STF 1B microfiche.

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Figure 4. Other 1990 Census Data Products

Title Description Geographic areas

Subject Summary

Tape Files

About 20 computer tape files used to produce

the subject reports (1990 CP-3 and 1990 CH-3

series). On the average, a file is the source of

two subject reports

U.S., regions, divisions, States, metropolitan

areas ( MA’s), and large counties and

places

Public Law 94-171

Data File (redistricting

data)

Counts by total, race, and Hispanic origin for

the total population and population 18 years

old and over, and counts of housing units.

Available on tape, CD-ROM, and paper listings

States, counties, county subdivisions,

places, census tracts/ block numbering

areas (BNA’s), block groups (BG’s), and

blocks; voting districts where States have

identified them for the Census Bureau; and

American Indian and Alaska Native areas

Census/ Equal Employment Opportunity

(EEO) Special File

Sample tabulations showing detailed occupations and educational attainment data by age;

cross tabulated by sex, Hispanic origin, and

race

Counties, MA’s, places of 50,000 or more

inhabitants

County-to-County

Migration File

Summary statistics for all intra-state county-tocounty migration streams and significant interstate county-to-county migration streams. Each

record will include codes for the geographic

area of destination, and selected characteristics of the persons who made up the migration

stream

States, counties

Public Use Microdata

Sample (PUMS) Files

Machine-readable files containing a sample of

individual long-form census records showing

most population and housing characteristics

but with identifying information removed

5 Percent—PUMS

Areas

County groups, counties, county subdivisions, and places with 100,000 or more

inhabitants

1 Percent—Metropolitan Areas (1990)MA’s and other large areas with 100,000 or

more inhabitants

User-Defined Areas

Tabulations

A set of standard tabulations provided on printouts, tapes, or other products with maps and

narrative (if requested)

User-defined areas created by aggregating

census blocks

Special Tabulations User-defined tabulations for specified geographic areas provided on printouts, tapes, or

other products

User-defined areas or standard areas

DATA PRODUCTS AND USER ASSISTANCE F–13
Maps are not available.

U.S. Census Bureau