U.S. Department of Commerce, U.S. Census Bureau, Geography Division
2010
TIGER/Line Shapefile, 2010, 2010 state, Massachusetts, 2010 Census Census Tract State-based
2010
vector digital data
http://www.census.gov/geo/www/tiger
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.
Massachusetts(25)
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.
-73.508142
-69.858861
42.88679
41.187053
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
Massachusetts
MA
25
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.
Yes, the data are free from Title 13 restrictions
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
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
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
TRACT10.shp
2010 Census Census Tract State-based
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.
FID_Chinatown_Boundary
FID_Chinatown_Boundary
Integer
4
0
0
Name
Name
String
255
0
0
FID_mapc_outline_poly
FID_mapc_outline_poly
Integer
4
0
0
mapc
mapc
String
5
0
0
st_area_sh
st_area_sh
Double
8
0
0
st_length
st_length
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.
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
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
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.
20100507
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
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
8859part1
tl_2010_25_tract10.shp.xml
eng
20191213
11091100
1.0
FALSE
Chinatown_Mask
002
0.000
33869.695500
330838.819600
777514.569900
959743.226600
1
Projected
GCS_North_American_1983
NAD_1983_StatePlane_Massachusetts_Mainland_FIPS_2001
<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/3.0.0'><WKT>PROJCS["NAD_1983_StatePlane_Massachusetts_Mainland_FIPS_2001",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]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",200000.0],PARAMETER["False_Northing",750000.0],PARAMETER["Central_Meridian",-71.5],PARAMETER["Standard_Parallel_1",41.71666666666667],PARAMETER["Standard_Parallel_2",42.68333333333333],PARAMETER["Latitude_Of_Origin",41.0],UNIT["Meter",1.0],AUTHORITY["EPSG",26986]]</WKT><XOrigin>-36530900</XOrigin><YOrigin>-28803200</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>26986</WKID><LatestWKID>26986</LatestWKID></ProjectedCoordinateSystem>
Linear Unit: Meter (1.000000)
20221116
15274800
20221116
15274800
FGDC CSDGM Metadata
Esri ArcGIS 13.0.0.36056
Chinatown_Mask
002
1
-73.533245
-69.898567
42.888313
41.230345
File Geodatabase Feature Class
0.000
dataset
EPSG
2.1(3.0.1)
0
20221116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