U.S. Department of Commerce, U.S. Census Bureau, Geography Division
2010
tractct_37800_0000_2010_s100_census_1_shp_wgs84
2010
vector digital data
http://www.census.gov/geo/www/tiger
tractct_37800_0000_2010_s100_census_1_shp_wgs84
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. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.
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.
en
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.
-73.727776
-71.787240
42.050596
40.950951
-73.727776
-71.787240
40.950951
42.050596
ISO 19115 Topic Categories
boundaries
None
State or equivalent entity
Polygon
Census Tract
Tract
INCITS.38-200x (R2004),INCITS.31-200x (R2007),INCITS.454-200x,INCITS 455-200x,INCITS 446-2008
United States
U.S.
State or Equivalent Entity
Connecticut
CT
09
None
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.
U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch
Mailing address
4600 Silver Hill Road, Stop 7400
Washington
DC
20233-7400
United States
301-763-1128
301-763-4710
geo.tiger@census.gov
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.0.1770
Shapefile
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.
Census MAF/TIGER
2010
Metadata imported.
C:\DOCUME~1\MAGICG~1\LOCALS~1\Temp\xml9DF.tmp
20110304
16240600
Dataset copied.
E:\Census2010\Projections\Tracts_WGS84\Tracts_2010
20110307
13572300
Dataset copied.
C:\strunk_census\Tractwgs84
20110307
14292000
Dataset moved.
C:\strunk_census\Projections\tractct_37800_0000_2010_s100_census_1_shp\tractct_37800_0000_2010_s100_census_1_shp_wgs84
20110307
16305400
Dataset moved.
M:\vector\37800\tractct_37800_0000_2010_s100_census_1_shp_wgs84
20110414
12161100
Dataset moved.
M:\vector\37800\tractct_37800_0000_2010_s100_census_1_shp\tractct_37800_0000_2010_s100_census_1_shp_wgs84
20110414
12171800
Federal Information Processing Standards (FIPS), ANSI, and feature names.
Vector
G-polygon
833
Simple
Polygon
FALSE
833
FALSE
FALSE
0.000000
0.000000
Decimal degrees
D_WGS_1984
WGS_1984
6378137.000000
298.257224
GCS_WGS_1984
tractct_37800_0000_2010_s100_census_1_shp_wgs84
2010 Census Census Tract State-based
U.S. Census Bureau
Feature Class
833
FID
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
FID
OID
4
0
0
Shape
Feature geometry.
ESRI
Coordinates defining the features.
Shape
Geometry
0
0
0
STATEFP10
2010 Census state Federal Information Processing Standards
(FIPS) codes
U.S. Census Bureau
INCITS.38-200x (R2004), Codes for the Identification of
the States, the District of Columbia, Puerto Rico, and the
Insular Areas of the United States (Formerly FIPS 5-2)
U.S. Census Bureau
STATEFP10
String
2
COUNTYFP10
2010 Census county Federal Information Processing Standards
(FIPS) code
U.S. Census Bureau
INCITS.31-200x (R2007), Codes for the Identification of
the Counties and Equivalent Areas of the United States,
Puerto Rico, and the Insular Areas of the United States
(Formerly FIPS 6-4)
U.S. Census Bureau
COUNTYFP10
String
3
TRACTCE10
2010 Census census tract code
U.S. Census Bureau
000000
Water tract in some coastal and Great Lakes water and
territorial sea
U.S. Census
000100 to 998999
Census tract number
U.S. Census Bureau
TRACTCE10
String
6
GEOID10
Census tract identifier, a concatenation of 2010 Census state
Federal Information Processing Standards (FIPS) code, county
FIPS code, and census tract code
U.S. Census Bureau
INCITS.38-200x (R2004), Codes for the Identification of
the States, the District of Columbia, Puerto Rico, and the
Insular Areas of the United States (Formerly FIPS 5-2),
INCITS.31-200x (R2007), Codes for the Identification of
the Counties and Equivalent Areas of the United States,
Puerto Rico, and the Insular Areas of the United States
(Formerly FIPS 6-4) and the census tract code that appears
in TRACTCE10
U.S. Census Bureau
GEOID10
String
11
NAME10
2010 Census census tract name, this is the census tract code
converted to an integer or integer plus two-digit decimal if
the last two characters of the code are not both zeros.
U.S. Census Bureau
Refer to the online census tract gazetteer file at URL:
http://www.census.gov/geo/www/gazetteer/gazette.html
U.S. Census Bureau
NAME10
String
7
NAMELSAD10
2010 Census translated legal/statistical area description and
the census tract name
U.S. Census Bureau
Refer to the online census tract gazetteer file at URL:
http://www.census.gov/geo/www/gazetteer/gazette.html and
translated legal/statistical area description code CT,
Census Tract
U.S. Census Bureau
NAMELSAD10
String
20
MTFCC10
MAF/TIGER feature class code
U.S. Census Bureau
G5020
Census Tract
U.S. Census Bureau
MTFCC10
String
5
FUNCSTAT10
2010 Census functional status
U.S. Census Bureau
S
Statistical entity
U.S. Census Bureau
FUNCSTAT10
String
1
ALAND10
2010 Census land area (square meters)
U.S. Census Bureau
0 to 9,999,999,999,999
Blank
U.S. Census Bureau
ALAND10
Number
14
AWATER10
2010 Census water area (square meters)
U.S. Census Bureau
0 to 9,999,999,999,999
Blank
U.S. Census Bureau
AWATER10
Number
14
INTPTLAT10
2010 Census latitude of the internal point
U.S. Census Bureau
00
Blank
U.S. Census Bureau
INTPTLAT10
String
11
INTPTLON10
2010 Census longitude of the internal point
U.S. Census Bureau
00
Blank
U.S. Census Bureau
INTPTLON10
String
12
GEOID_AFF1
GEOID_AFF1
String
254
Join field for American Factfinder 1 data. factfinder.census.gov
GEOID_AFF2
GEOID_AFF2
String
254
Join field for American Factfinder 2 data. factfinder2.census.gov
U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch
Mailing address
4600 Silver Hill Road, Stop 7400
Washington
DC
20233-7400
United States
301-763-1128
301-763-4710
geo.tiger@census.gov
Downloadable Data
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
4.029
4.029
http://www.census.gov/geo/www/tiger
DVD-ROM (Only if offered offline)
ISO 9660
The online copy of the TIGER/Line files may be accessed without charge.
To obtain more information about ordering TIGER/Line shapefiles visit http://www.census.gov/geo/www/tiger
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.
20110414
U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch
REQUIRED: The person responsible for the metadata information.
Mailing address
4600 Silver Hill Road, Stop 7400
Washington
DC
20233-7400
United States
301-763-1128
301-763-4710
geo.tiger@census.gov
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
http://www.esri.com/metadata/esriprof80.html
ESRI Metadata Profile
en
http://www.esri.com/metadata/esriprof80.html
ESRI Metadata Profile
20110307
14292000
FALSE
20110414
12155100
20110414
12155100
1.0
Project Tracts10 C:\strunk_data\Census\Projections\Tracts_2010.shp GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]] NAD_1983_To_WGS_1984_5 GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]]
{89F78618-9885-42B0-BF39-50C236AE0F6B}
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.0.1770
2010_Census_Tracts
-73.727776
-71.78724
42.050596
40.950951
1
-73.727776
-71.78724
42.050596
40.950951
1
2010_Census_Tracts
2010_Census_Tracts
ISO 19115 Geographic Information - Metadata
DIS_ESRI1.0
dataset
002
file://\\library\archive\Magic2\vector\37800\tractct_37800_0000_2010_s100_census_1_shp\wgs84\tractct_37800_0000_2010_s100_census_1_shp_wgs84
Local Area Network
4.029
Shapefile
GCS_WGS_1984
833
20110414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