Description: This polygon feature class contains NAVTEQ Administrative Area Boundaries 4 (City Boundaries) for the United States. There are five Administrative Area Boundaries layers (1, 2, 3, 4, 5). These layers contain the boundaries that divide countries into administrative areas such as country, state, county, city, or settlement. These designations vary on a country by country basis. (In the US for example, the AdminBndy2 layer contains State boundaries, the AdminBndy3 layer contains County boundaries, and the AdminBndy4 layer contains City boundaries.) See Administrative Level Coding and Boundary Features in the NAVSTREETS manual for a list of the administrative area types by country. This layer is used for map visualisation. Note that an Administrative Area Boundary is represented by multiple region objects when it has names in multiple languages. This dataset is a subset of the full NAVTEQ NAVSTREETS database.
Full metadata: https://edg.epa.gov/metadata/rest/document?id=%7B71506DA0-A1D5-473C-8ED6-0E0A23415304%7D&xsl=metadata_to_html_full
Definition Expression: N/A
Copyright Text: NAVTEQ incorporates and enhances data from a number of local governments, utility companies, other public agencies, and commercial mapping agencies in building its final products.
Name: Zip Code (Ungeneral), United States, 2015, HERE
Display Field: PC_NAME
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This polygon feature class contains ungeneralized 5-digit postal code polygons in the US and its territories from HERE (formerly Navteq). Polygonal water features greater than 5 square kilometers are represented as "water holes" in the layer. This SEGS dataset was procured for EPA through the Office of Environmental Information (OEI).
Full metadata: https://edg.epa.gov/metadata/rest/document?id=%7B2C67A0B1-7056-491D-84D0-9D9430A457C5%7D&xsl=metadata_to_html_full
Name: Zip Code (General), United States, 2015, HERE
Display Field: PC_NAME
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This polygon feature class contains 5-digit postal code polygons in the US and its territories from HERE (formerly Navteq). Coastline features have been generalized for faster display. This SEGS dataset was procured for EPA through the Office of Environmental Information (OEI).
Full metadata: https://edg.epa.gov/metadata/rest/document?id=%7B774A2C0D-B88C-4F9D-A5A0-58B2EA0249AE%7D
Name: Voting Districts, United States, 2018, TIGER
Display Field: NAMELSAD10
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This polygon feature class contains voting districts for the United States. TIGER Geodatabases are spatial extracts from the Census Bureau’s MAF/TIGER database for use with Esri’s ArcGIS. Data accessed from the US Census Bureau website, at: https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html
Full metadata: https://edg.epa.gov/metadata/rest/document?id=%7B0F82F861-3407-451D-A57B-7ECD8814276D%7D
Description: Thi polygon feature class contains counties in the US. 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. 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, 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 boundaries for counties and equivalent entities are as of January 1, 2015, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).
Full metadata: https://edg.epa.gov/metadata/rest/document?id=%7B8458A60F-0C60-4813-990C-049771AACA6F%7D
Name: States and Territories, United States, 2015, TIGER
Display Field: NAME
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This polygon feature class contains boundaries of all US States and Territories. States and equivalent entities are the primary governmental divisions of the United States. In addition to the fifty States, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as the statistical equivalents of States for the purpose of data presentation.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.
Full metadata: https://edg.epa.gov/metadata/rest/document?id=%7B
54760045-B6C1-444E-8AEE-ADF7247425CD%7D