U.S. Department of Commerce, U.S. Census Bureau, Geography Division
2010
NHGIS: TIGER/Line Shapefile, 2010, 2010 nation, U.S., 2010 Census County and Equivalent National
2010
vector digital data
http://www.nhgis.org
Minnesota Population Center
The NHGIS is a National Institutes of Health and National Science Foundation-sponsored project to create a digital spatial-temporal database of all available historical US aggregate census materials. The available shapefiles on the NHGIS site represent version 2.0 of historical US state/territory boundary files for the 1790 to 2010 decennial censuses and American Community Survey releases.
The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The primary legal divisions of most States are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, and municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively 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 incorporated places that are independent of any county organization and thus constitute primary divisions of their States. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The 2010 Census boundaries for counties and equivalent entities are as of January 1, 2010, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).
These data are based upon work supported by the National Institutes of Health and the National Science Foundation. Its purpose is twofold. First, the NHGIS created and freely distributes a database incorporating all available aggregate census information for the United States between 1790 and 2010. The database contains information for a wide variety of statistical (blocks, block groups, census tracts, metropolitan statistical areas, etc.) and administrative units (places, minor civil divisions, counties, states, etc.). Second, the NHGIS produced and freely distributes boundary files for small areas (census tracts and counties) in the United States. Boundary files for tracts are available for the 1910-2010 decennial censuses and American Community Survey releases, and boundary files for counties and states/territories are available for the 1790-2010 decennial censuses and American Community Survey releases. The boundaries contained in this file do not necessarily represent current legal boundaries. Instead, they represent the boundaries over which the U.S. Census Bureau tabulated and published data at that time.
In order for others to use the information in the Census MAF/TIGER database in a geographic information system (GIS) or for other geographic applications, the Census Bureau releases to the public extracts of the database in the form of TIGER/Line Shapefiles.
United States,US
201001
201007
publication date
TIGER/Line Shapefiles are extracted from the Census MAF/TIGER database. No changes or updates will be made to this version of the TIGER/Line Shapefiles. Future releases of TIGER/Line Shapefiles will reflect updates made to the Census MAF/TIGER database.
-179.231086
179.859681
71.441059
17.831509
ISO 19115 Topic Categories
boundaries
None
Nation
Polygon
INCITS.38-200x (R2004),INCITS.31-200x (R2007),INCITS.454-200x,INCITS 455-200x,INCITS 446-2008
United States
U.S.
None
This dataset was produced with an intended application at the state/territory, regional or national level. Appropriate uses include thematic mapping of census data and spatial analysis of census data. These unaltered data may be redistributed by a third party. If these data are altered or incorporated into another dataset, they are not to be redistributed without also: altering the name of the dataset, including a Content Standards for Digital Geospatial Metadata (FGDC-STD-001-1998) compliant metadata file that describes the dataset and reflects the alteration steps that makes the new dataset different from this one, and citing this dataset in the metadata as a source for the altered dataset using the source citation specified below. If these digital data are used in the production of a report or in the compilation of a standalone printed map, then this dataset is to be cited in the report or on the map using the source citation specified below. The following source citation should be used when citing this dataset: Minnesota Population Center. National Historical Geographic Information System: Version 2.0, Minneapolis: MN, University of Minnesota 2011. No fee may be charged for use or distribution. Publications and research reports based on the database must cite it appropriately. Users are requested to send a copy of any publications, research reports, or educational material making use of the data or documentation. Printed matter should be sent to: NHGIS Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455.
The TIGER/Line Shapefile products are not copyrighted however TIGER/Line and Census TIGER are registered trademarks of the U.S. Census Bureau. These products are free to use in a product or publication, however acknowledgement must be given to the U.S. Census Bureau as the source.
The boundary information in the TIGER/Line Shapefiles are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions.Coordinates in the TIGER/Line shapefiles have six implied decimal places, but the positional accuracy of these coordinates is not as great as the six decimal places suggest.
Yes, the data are free from Title 13 restrictions
Minnesota Population Center
mailing address
50 Willey Hall
Minneapolis
MN
55455
United States
225 19th Ave S
612-625-7375
nhgis@umn.edu
8859part1
eng
Accurate against Federal Information Processing Standards (FIPS), FIPS Publication 6-4, and FIPS-55 at the 100% level for the codes and base names. The remaining attribute information has been examined but has not been fully tested for accuracy.
The Census Bureau performed automated tests to ensure logical consistency and limits of shapefiles. Segments making up the outer and inner boundaries of a polygon tie end-to-end to completely enclose the area. All polygons are tested for closure.
The Census Bureau uses its internally developed geographic update system to enhance and modify spatial and attribute data in the Census MAF/TIGER database. Standard geographic codes, such as FIPS codes for states, counties, municipalities, county subdivisions, places, American Indian/Alaska Native/Native Hawaiian areas, and congressional districts are used when encoding spatial entities. The Census Bureau performed spatial data tests for logical consistency of the codes during the compilation of the original Census MAF/TIGER database files. Most of the codes for geographic entities except states, counties, urban areas, Core Based Statistical Areas (CBSAs), American Indian Areas (AIAs), and congressional districts were provided to the Census Bureau by the USGS, the agency responsible for maintaining FIPS 55. Feature attribute information has been examined but has not been fully tested for consistency.
For the TIGER/Line Shapefiles, the Point and Vector Object Count for the G-polygon SDTS Point and Vector Object Type reflects the number of records in the shapefile attribute table. For multi-polygon features, only one attribute record exists for each multi-polygon rather than one attribute record per individual G-polygon component of the multi-polygon feature. TIGER/Line Shapefile multi-polygons are an exception to the G-polygon object type classification. Therefore, when multi-polygons exist in a shapefile, the object count will be less than the actual number of G-polygons.
Data completeness of the TIGER/Line Shapefiles reflects the contents of the Census MAF/TIGER database at the time the TIGER/Line Shapefiles were created.
U.S. Department of Commerce, U.S. Census Bureau, Geography Division
Unpublished material
Census MAF/TIGER database
online
201001
201007
publication date
MAF/TIGER
The selected geographic and cartographic information (line segments) are derived from the U.S. Census Bureau's Master Address File Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database.
TIGER/Line Shapefiles are extracted from the Census MAF/TIGER database by nation, state, county, and entity. Census MAF/TIGER data for all of the aforementioned geographic entities are then distributed among the shapefiles each containing attributes for line, polygon, or landmark geographic data.
withheld
2010
Dataset Copied.
Erased coastal water features. Added and calculated GISJOIN.
Corrected coastal water features on 12-19-2013 in a number of states. Re-erased coastal water feature using corrected water layer. Correction only affected the geometry of existing features; no features were removed in this process.
Federal Information Processing Standards (FIPS), ANSI, and feature names.
Vector
Simple
FALSE
0
TRUE
FALSE
North American Datum of 1983 in the 48 contiguous states, the District of Columbia, Alaska, Hawaii, Puerto Rico, the Virgin Islands of the United States, and the Pacific Island Areas.
Geodetic Reference System 80
6378137
298257
COUNTY10.shp
2010 Census County and Equivalent National
U.S. Census Bureau
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
GISJOIN
GISJOIN
String
8
0
0
unique identifier for joining to NHGIS tabular data
NHGIS
Median_household_income_in_1999
Median household income in 1999
Double
8
0
0
Median_household_income_in_2000
Median household income in 1999 adjusted in 2020 dollars
Double
8
0
0
Median_household_income_in_2020
Median household income in 2020
Double
8
0
0
Percent_Change
Percent Change
Double
8
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
Minnesota Population Center
mailing address
50 Willey Hall
Minneapolis
MN
55455
United States
225 19th Ave S
612-625-7375
nhgis@umn.edu
No warranty, expressed or implied is made with regard to the accuracy of these data, and no liability is assumed by the U.S. Government in general or the U.S. Census Bureau in specific as to the spatial or attribute accuracy of the data. The act of distribution shall not constitute any such warranty and no responsibility is assumed by the U.S. government in the use of these files. The boundary information in the TIGER/Line Shapefiles is for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes do not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions.
TGRSHP (compressed)
PK-ZIP, version 1.93 A or higher
http://www.census.gov/geo/www/tiger
DVD-ROM (Only if offered offline)
ISO 9660
NHGIS files may be accessed without charge.
The TIGER/Line shapefiles contain geographic data only and do not include display mapping software or statistical data. For information on how to use the TIGER/Line shapefile data with specific software package users shall contact the company that produced the software.
20100507
Minnesota Population Center
mailing address
50 Willey Hall
Minneapolis
MN
55455
United States
225 19th Ave S
612-625-7375
nhgis@umn.edu
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
8859part1
tl_2010_us_county10.shp.xml
eng
Esri ArcGIS 12.4.0.19948
NY_counties_mhi
1
-180.000000
180.000000
90.000000
0.096502
US
Census
2010
County
USA Census 2010 TIGER/Line Counties
NY_counties_mhi
002
0.000
-7115207.647400
3321631.715600
-1685018.477700
4591848.410700
1
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
WGS_1984_Web_Mercator_Auxiliary_Sphere
20250417
19055700
20250417
19055700
20130502
09055800
1.0
FALSE
FGDC CSDGM Metadata
File Geodatabase Feature Class
0.000
dataset
EPSG
6.18.3(9.3.1.2)
0
20250417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