1980 Block Boundaries

NHGIS 1980 census block shapefiles depict 1980 block boundaries for selected areas throughout the U.S. The current version (v4.0) includes all or part of 148 metropolitan areas. We will update and extend the shapefiles in future releases as we complete more areas.

These files provide a more accurate and complete representation of 1980 block boundaries than is available from the U.S. Census Bureau's 1992 TIGER/Line Files, the only previously existing source of digital 1980 block definitions for the nation.

We currently provide the boundary files through this web page along with documentation and census summary statistics for 1980 blocks. In the future, we will provide both the boundary files and summary tables through the NHGIS Data Finder, where we already provide block summary data for 1970 and both summary and boundary data for all census years after 1980.

Overview

The U.S. Census Bureau's 1992 TIGER/Line Files include both 1990 and 1980 census block boundaries, but the 1980 blocks are badly incomplete and often inaccurate. Of the 2.5 million blocks that appear in the 1980 census summary tables, about 765,000 do not appear in the 1992 TIGER/Line Files, and there are missing cases in nearly every county where block data were provided.

Using the 1980 paper census block maps as a guide, NHGIS staff are manually editing data from the 1992 TIGER/Line Files to recover as many missing blocks as possible. The Census Bureau published the paper maps separately by Standard Metropolitan Statistical Area (SMSA), so NHGIS editing work is also organized by SMSA.

Initial versions of our 1980 block shapefiles will cover only the SMSAs that we have completed. We plan to release more versions including more SMSAs at regular intervals until the project has ended.

NHGIS validates the edited geographic block data against the statistical block data from 1980 Summary Tape File 1 (STF1). For a small portion of the blocks that appear in STF1, we are unable to find corresponding blocks on the paper maps or in the TIGER/Line data, so we cannot provide complete block definitions for all reported statistics. Our validation process produces summaries of the discrepancies between the edited boundary data and statistical data. We supply these summaries for user reference along with the shapefiles.

We also provide separate files of block-level summary tables derived from the 1980 STF1 dataset. This is important because the original STF1 includes data only for block parts and not for the whole collection blocks that the boundary files depict.

Technical Details

Basics

  • The boundary data are stored in shapefiles within ZIP archives
  • There is a separate shapefile for each state (or state equivalent) where boundaries are currently available
  • There is a nationwide shapefile that includes all block boundaries available at this time
  • Two supplemental CSV (comma-separated-values) files accompany each shapefile within the ZIP archives
    • data_missing_polygon - Lists blocks that have records in the statistical tables but do not have polygons in the shapefile
    • polygon_missing_data - Lists blocks that have polygons in the shapefile but do not have records in the statistical tables
  • The statistical and boundary files include standard NHGIS GISJOIN identifiers
  • The statistical table data are stored in a CSV file within a ZIP archive
  • There are two nationwide CSV files
    • One includes all tables
    • One includes a collection of popular tables
  • There is a CSV file for each state (or state equivalent) with boundaries currently available
  • All ZIP archives include human-readable codebooks describing the contents of the data files

Geographic Coverage

We plan to produce 1980 block shapefiles for all of the Standard Metropolitan Statistical Area (SMSAs) that are covered (imperfectly) in the 1992 TIGER/Line Files. In 1980, the Census Bureau's block data program covered only urbanized areas and large incorporated places (those with 10,000 or more residents based on pre-1980 sources). State and local agencies also contracted with the Bureau to obtain block data for many additional areas, but the 1992 TIGER/Line Files provide very limited information for the blocks in these areas, so we do not expect to complete those.

The 1980 block shapefiles are organized by state for consistency with NHGIS block boundary files for later years. A given state's shapefile includes blocks only for counties that NHGIS has completed within that state. To obtain all block boundaries for an SMSA that crosses state boundaries, a user will need to combine block files from each corresponding state.

Future versions of the shapefiles will extend coverage within currently included states and add new files for other states. Our work was initially limited to a small set of SMSAs for which we could obtain block maps. We later found lending sources for nearly all SMSAs and have since then prioritized the largest SMSAs.

Some SMSAs do not have complete coverage in our shapefiles. In some SMSAs (e.g. Detroit), our block boundaries cover the central city, but we have not yet completed one or more suburban counties that have no blocks in the 1992 TIGER/Line files.

We detail current coverage by state and by SMSA in this spreadsheet:

Click below for a list of currently covered SMSAs ordered by population:

Covered Metro Areas by Population

Rank

Standard Metropolitan Statistical Area

Population

1.

New York, N.Y.-N.J.

9,120,346

2.

Los Angeles-Long Beach, Calif.

7,477,503

3.

Chicago, Ill.

7,103,624

4.

Philadelphia, Pa.-N.J.

4,716,818

5.

Detroit, Mich. *

4,353,413

6.

San Francisco-Oakland, Calif.

3,250,630

7.

Washington, D.C.-Md.-Va.

3,060,922

8.

Dallas-Fort Worth, Tex.

2,974,805

9.

Houston, Tex.

2,905,353

10.

Boston, Mass.

2,763,357

11.

Nassau-Suffolk, N.Y.

2,605,813

12.

St. Louis, Mo.-Ill.

2,356,460

13.

Pittsburgh, Pa.

2,263,894

14.

Baltimore, Md.

2,174,023

15.

Minneapolis-St. Paul, Minn.-Wis.

2,113,533

16.

Atlanta, Ga.

2,029,710

17.

Newark, N.J.

1,965,969

18.

Anaheim-Santa Ana-Garden Grove, Calif.

1,932,709

19.

Cleveland, Ohio

1,898,825

20.

San Diego, Calif.

1,861,846

22.

Denver-Boulder, Colo.

1,620,902

23.

Seattle-Everett, Wash.

1,607,469

24.

Tampa-St. Petersburg, Fla. *

1,569,134

26.

Phoenix, Ariz.

1,509,052

27.

Cincinnati, Ohio-Ky.-Ind.

1,401,491

28.

Milwaukee, Wis.

1,397,143

29.

Kansas City, Mo.-Kans.

1,327,106

30.

San Jose, Calif.

1,295,071

33.

New Orleans, La. *

1,187,073

34.

Indianapolis, Ind.

1,166,575

35.

Columbus, Ohio *

1,093,316

37.

Fort Lauderdale-Hollywood, Fla.

1,018,200

38.

Sacramento, Calif.

1,014,002

39.

Rochester, N.Y. *

971,230

40.

Salt Lake City-Ogden, Utah *

936,255

41.

Providence-Warwick-Pawtucket, R.I.-Mass.

919,216

42.

Memphis, Tenn.-Ark.-Miss.

913,472

43.

Louisville, Ky.-Ind.

906,152

44.

Nashville-Davidson, Tenn.

850,505

45.

Birmingham, Ala.

847,487

46.

Oklahoma City, Okla. *

834,088

47.

Dayton, Ohio *

830,070

51.

Toledo, Ohio-Mich.

791,599

52.

Honolulu, Hawaii

762,565

53.

Jacksonville, Fla.

737,541

54.

Hartford, Conn.

726,114

55.

Orlando, Fla. *

700,055

59.

Gary-Hammond-East Chicago, Ind.

642,781

64.

Grand Rapids, Mich.

601,680

65.

New Brunswick-Perth Amboy-Sayreville, N.J.

595,893

67.

Omaha, Nebr.-Iowa

569,614

68.

Greenville-Spartanburg, S.C.

569,066

69.

Jersey City, N.J.

556,972

70.

Austin, Tex.

536,688

71.

Tucson, Ariz.

531,443

74.

Springfield-Chicopee-Holyoke, Mass.-Conn.

530,668

76.

Wilmington, Del.-N.J.-Md.

523,221

77.

Flint, Mich.

521,589

78.

Fresno, Calif.

514,621

80.

Baton Rouge, La.

494,151

81.

Tacoma, Wash.

485,643

82.

El Paso, Tex.

479,899

85.

Las Vegas, Nev.

463,087

87.

Paterson-Clifton-Passaic, N.J.

447,585

93.

New Haven-West Haven, Conn.

417,592

98.

Bridgeport, Conn.

395,455

99.

Little Rock-North Little Rock, Ark.

393,774

105.

Worcester, Mass.

372,940

114.

Corpus Christi, Tex.

326,228

115.

Madison, Wis.

323,545

125.

Trenton, N.J.

307,863

127.

Santa Rosa, Calif.

299,681

130.

Salinas-Seaside-Monterey, Calif.

290,444

133.

Lawrence-Haverhill, Mass.-N.H.

281,981

136.

Rockford, Ill.

279,514

137.

Kalamazoo-Portage, Mich.

279,192

138.

Eugene-Springfield, Oreg.

275,226

143.

Duluth-Superior, Minn.-Wis.

266,650

144.

Modesto, Calif.

265,900

149.

Daytona Beach, Fla.

258,762

152.

New London-Norwich, Conn.-R.I.

248,554

156.

Columbus, Ga.-Ala.

239,196

157.

Lowell, Mass.-N.H.

233,410

159.

Waterbury, Conn.

228,178

160.

Saginaw, Mich.

228,059

163.

Provo-Orem, Utah

218,106

164.

Killeen-Temple, Tex.

214,656

166.

Brownsville-Harlingen-San Benito, Tex.

209,727

170.

Sarasota, Fla.

202,251

171.

Stamford, Conn.

198,854

174.

Reno, Nev.

193,623

175.

Lincoln, Nebr.

192,884

183.

Springfield, Ohio

183,885

184.

Portland, Maine

183,625

185.

Muskegon-Norton Shores-Muskegon Heights, Mich.

179,591

188.

Fall River, Mass.-R.I.

176,831

189.

Terre Haute, Ind.

176,583

190.

Green Bay, Wis.

175,280

194.

Boise City, Idaho

173,036

199.

New Bedford, Mass.

169,425

200.

Brockton, Mass.

169,374

202.

Lake Charles, La.

167,223

203.

Portsmouth-Dover-Rochester, N.H.-Maine

163,880

204.

St. Cloud, Minn.

163,256

207.

Manchester, N.H.

160,767

210.

Alexandria, La.

151,985

211.

Longview-Marshall, Tex.

151,752

212.

Jackson, Mich.

151,495

215.

Lafayette, La.

150,017

219.

Danbury, Conn.

146,405

222.

New Britain, Conn.

142,241

228.

Waterloo-Cedar Falls, Iowa

137,961

229.

Fargo-Moorhead, N. Dak.-Minn.

137,574

231.

Elkhart, Ind.

137,330

232.

Altoona, Pa.

136,621

234.

Anderson, S.C.

133,235

237.

Decatur, Ill.

131,375

240.

Wichita Falls, Tex.

130,664

248.

Texarkana, Tex.-Texarkana, Ark.

127,019

249.

Norwalk, Conn.

126,692

253.

Kenosha, Wis.

123,137

255.

Lafayette-West Lafayette, Ind.

121,702

259.

Bloomington-Normal, Ill.

119,149

261.

Pascagoula-Moss Point, Miss.

118,015

262.

Sioux City, Iowa-Nebr.

117,457

264.

Odessa, Tex.

115,374

265.

Nashua, N.H.

114,221

266.

Burlington, Vt.

114,070

278.

Sioux Falls, S. Dak.

109,435

281.

Rock Hill, S.C.

106,720

283.

Kokomo, Ind.

103,715

288.

Grand Forks, N. Dak.-Minn.

100,944

291.

Fitchburg-Leominster, Mass.

99,957

294.

Bloomington, Ind.

98,785

299.

Bryan-College Station, Tex.

93,588

300.

Rochester, Minn.

92,006

301.

La Crosse, Wis.

91,056

303.

Pittsfield, Mass.

90,505

304.

Sherman-Denison, Tex.

89,796

306.

San Angelo, Tex.

84,784

307.

Bangor, Maine

83,919

308.

Midland, Tex.

82,636

309.

Iowa City, Iowa

81,717

310.

Great Falls, Mont.

80,696

311.

Bismarck, N. Dak.

79,988

312.

Bristol, Conn.

73,762

313.

Lewiston-Auburn, Maine

72,378

318.

Meriden, Conn.

57,118

* Partial coverage—one or more peripheral counties unavailable

Data for Whole Collection Blocks, Not Tabulation Blocks

The Census Bureau defines two types of census blocks: collection blocks and tabulation blocks. As implied by these names, the Census Bureau generally tabulates and publishes data only for tabulation blocks, not collection blocks. The collection blocks are defined first, before census operations, and their boundaries mainly follow observable physical features like roads, railroads, streams, shorelines, etc. Most tabulation blocks match collection blocks, but tabulation blocks can include additional subdivisions wherever collection blocks are split by higher-level reporting areas, such as incorporated places and minor civil divisions (MCDs). As explained in the Census Bureau's Geographic Areas Reference Manual (p. 11-14), "This methodology permits the Census Bureau to accommodate changes to the boundaries of legally recognized entities as they occur and still maintain a stable inventory of collection blocks."

In 1980 block data and on 1980 block maps, the block identifiers correspond only to collection blocks and do not distinguish the parts of collection blocks (i.e., the tabulation blocks) that lie in different places or MCDs. The Census Bureau revised this practice in 1990, adding suffixes to tabulation block codes to distinguish each part of a split collection block. As a result, every census reporting area at every census summary level now corresponds exactly to a set of uniquely identified tabulation blocks, but that is not the case in 1980 data.

Example of a Block Split by a Place Boundary with Summary Data for the Split Block Parts and the Corresponding Whole Block

Figure 1. Two STF1 block data records have the same tract and block identifiers but unique place identifiers. We generate new data for the whole collection block with a population equal to the sum of the two split parts' populations.

In the original block-level statistical data in 1980 STF1, there are separate records for each part of a split collection block, each with unique statistics, but without a unique tabulation block identifier. A user must examine the place or MCD codes to determine which part of the collection block each record corresponds to. Unfortunately, there are discrepancies between the place and MCD identifiers in the statistical data and the place and MCD boundaries in TIGER/Line Files and on the paper maps, preventing us from exactly matching the block boundary data to the original tabulation blocks.

To resolve these discrepancies, NHGIS provides boundary data for whole 1980 collection blocks only, and we derive new statistical data for the whole blocks.

The statistical data files include all collection blocks identified in 1980 STF1, including areas not yet covered in the NHGIS boundary files. Out of the 2.5 million blocks identified in 1980 STF1, only about 61,000 are split by place or MCD boundaries. Of these blocks, only 35,000 (those that had non-zero counts for two or more of their parts) required data aggregation.

We derived new data for all tables in the NHGIS dataset "1980 Census: STF1 - 100% Data". That dataset currently provides block data at two geographic levels, which separately cover states with strong MCDs and those without:

  • MCD States: State--Standard Metropolitan Statistical Area--County--County Subdivision--Place--Census Tract--Block
  • Non-MCD States: State--Standard Metropolitan Statistical Area--County--Place--Census Tract--Block

To aggregate the data, we first sum the counts for all records that share the same codes for state--county--census tract--block. Then for tables that report median values rather than counts, where aggregation is necessary, we use the same method that the the Census Bureau used, interpolating median estimates from the associated binned count data. For instance, to interpolate an estimate for median age, we use the aggregated counts of persons age 0-4, 5-9, and so on. We provide complete details on this methodology in the codebooks that accompany the data files.

The aggregated collection block data are therefore provided at the following geographic level for all states:

  • State--County--Census Tract--Block

A more detailed explanation of the aggregation process and variable definitions is available in the codebook that accompanies the data file.

Whole Block Suppression

Data from 1980 STF1 include suppression, whereby certain counts for blocks with few people or households were not published. When aggregating data for block parts to whole blocks, we suppress data for a given variable whenever at least one of the component block parts had suppressed data for that variable.

In our 1980 block summary statistics, suppressed values are indicated with blanks, but not all blank values are due to suppression; median values that could not be calculated are also left blank. You can use the SUPFLG fields to determine whether a value is suppressed or not. For more information about suppression, see the STF1 Technical Documentation.

For user convenience, the tables most requested by NHGIS users are available in a separate CSV file. This file contains 16 of the 82 tables in 1980 Summary Tape File 1. A full description of these tables is available in the codebook, which is included with the data file in the download ZIP file. Click below for an overview of the tables.

 

Table Name

Description

1.

Persons

Population count

2.

Urban/Rural Status

Urbanized area, outside urbanized area, and rural population counts

3.

Households

Count of households

4.

Housing Units

Count of housing units

5.

Occupancy Status

Counts of occupied and vacant year-round housing units

6.

Race

Population count by race

7.

Spanish Origin

Population count by Spanish origin

8.

Persons of Spanish Origin

Count of persons of Spanish origin

9.

Race [Persons of Spanish Origin]

Count of persons of Spanish origin by Race

10.

Age

Population count by age

11.

Tenure

Counts of owner-occupied and renter occupied housing units

12.

Tenure by Race of Householder

Counts of owner-occupied and renter occupied housing units by race of householder

13.

Value

Counts of specified owner-occupied housing units by value

14.

Median Value

Median value of specified owner-occupied housing units

15.

Contract Rent

Counts of specified renter occupied housing units by contract rent

16.

Median Contract Rent

Median contract rent for specified renter-occupied housing units paying cash rent

Download: Boundaries

The 1980 block boundaries are available as statewide or nationwide shapefiles.

The nationwide file includes boundaries for all covered metro areas, as listed here:

1980 Census Block Boundary Data by State

Alabama

Kentucky

Ohio

Arizona

Louisiana

Oklahoma

Arkansas

Maine

Oregon

California

Maryland

Pennsylvania

Colorado

Massachusetts

Rhode Island

Connecticut

Michigan

South Carolina

Delaware

Minnesota

South Dakota

District of Columbia

Mississippi

Tennessee

Florida

Missouri

Texas

Georgia

Montana

Utah

Hawaii

Nebraska

Vermont

Idaho

Nevada

Virginia

Illinois

New Hampshire

Washington

Indiana

New Jersey

Wisconsin

Iowa

New York

 

Kansas

North Dakota

 

Download: Statistics

Summary statistics for whole collection blocks, derived from 1980 STF1, are available as statewide or nationwide comma-separated values (CSV) files.

* If you run into issues unzipping a data file, we recommend using the Unarchiver tool or the command line. See this IPUMS User Forum post for additional information.

1980 Census Block Statistical Data by State

Alabama

Kentucky

Ohio

Arizona

Louisiana

Oklahoma

Arkansas

Maine

Oregon

California

Maryland

Pennsylvania

Colorado

Massachusetts

Rhode Island

Connecticut

Michigan

South Carolina

Delaware

Minnesota

South Dakota

District of Columbia

Mississippi

Tennessee

Florida

Missouri

Texas

Georgia

Montana

Utah

Hawaii

Nebraska

Vermont

Idaho

Nevada

Virginia

Illinois

New Hampshire

Washington

Indiana

New Jersey

Wisconsin

Iowa

New York

 

Kansas

North Dakota

 

Download via API

Users who would like to access these 1980 block files directly from within a programming environment (R, Python, etc.) may use the IPUMS API. The IPUMS Developer Portal provides complete details on the IPUMS API. The API for IPUMS NHGIS page describes which NHGIS supplemental data resources are available through the API (including the 1980 block files) and identifies how to construct a valid API URL for these resources. The Workflows & Code pages include some example code for accessing NHGIS supplemental data.

Feedback and Questions

You may direct any comments or questions about these files to nhgis@umn.edu.

Citation and Use

Use of the NHGIS 1980 Block Boundary Files is subject to the same conditions as for all NHGIS data. See Citation and Use of NHGIS Data.

Credits

Our production of 1980 Block Boundary Files is supported by funding from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (R01HD057929).