Description
The TIGER/Line shapefiles and related database files (.dbf) 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 shapefile is designed to stand alone as an independent data
set, or they can be combined to cover the entire nation.
After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial,
and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a
representation of the "urban footprint." There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters
(UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with
populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| tl_2015_us_uac10.zip | ZIP | tl_2015_us_uac10.zip | |
| Feature Catalog for the 2015 2010 Census Urban Area National Shapefile | XML | tl_2015_uac10.shp.ea.iso.xml | Open resource |
| TIGERweb/Urban (MapServer) | JSON | This Rest Service contains the 2010 Census Urban Area Clusters | Open resource |
| TIGERweb/tigerWMS_ACS2015 (MapServer) | WMS | This web mapping service contains the layer for the 2010 Census Urban Area Clusters. Since this layer displays at scales of 1:2,311,162 or greater, adjusting the BBox coordinates in the URL is necessary | Open resource |
| TIGER/Line® Shapefiles 2015 Technical Documentation Shapefiles | TGRSHP2015_TechDoc.pdf | Open resource | |
| TIGER/Line Shapefiles | HTML | Should be used for most mapping projects--this is our most comprehensive dataset. Designed for use with GIS (geographic information systems). | Open resource |