Boundaries data

geoBoundaries ADM2 boundaries for Cabo Verde: 32 units, representing 2020. Source: OCHA ROWCA, OCHA ROWCA.

geoBoundaries ADM0 boundaries for Cabo Verde: 1 units, representing 2017. Source: OpenStreetMap, Wambacher. Open Data Commons Open Database License 1.0

geoBoundaries ADM3 boundaries for Comoros: 55 units, representing 2019. Source: Comoros National Disaster Management Agency (COSEP-Centre des secours et de la protection civil), OCHA ROSEA.

geoBoundaries ADM1 boundaries for Comoros: 3 units, representing 2017. Source: OpenStreetMap, Wambacher. Open Data Commons Open Database License 1.0

ACS 2026 Legal and Statistical Entities Web Map Service; January 1, 2026 vintage

geoBoundaries ADM1 boundaries for Colombia: 33 units, representing 2017. Source: OpenStreetMap, Wambacher.

geoBoundaries ADM0 boundaries for Colombia: 1 units, representing 2022. Source: Geoboundaries, Wikimedia.

geoBoundaries ADM0 boundaries for Congo: 1 units, representing 2017. Source: OpenStreetMap, Wambacher. Open Data Commons Open Database License 1.0

geoBoundaries ADM3 boundaries for Cameroon: 360 units, representing 2017. Source: OpenStreetMap, Wambacher. Open Data Commons Open Database License 1.0

geoBoundaries ADM2 boundaries for Cameroon: 60 units, representing 2016. Source: Open Africa.

geoBoundaries ADM1 boundaries for China: 34 units, representing 2019. Source: geoBoundaries, Wikimedia Commons.

Point representation of mobility counters throughout the municipality. This dataset can be used in conjunction with the Bicycle Counts dataset.The dataset was compiled to track the location of mobility counters that have been installed in the municipality. Metadata

geoBoundaries ADM3 boundaries for Luxembourg: 102 units, representing 2018. Source: Le Gouvernement du Grande Duche de Luxembourg. Public Domain

This dataset depicts the Utah State Boundary as digitized from USGS 7.5 minute quad map series. The boundary should be coincident with the outer boundary of the SGID024.CountyBoundaries dataset. Minor adjustments were made to align with the Newest PLSS-GCDB layers from BLM (CadNSDIv2), biggest move was along the Wyoming and Summit County lines, 47 feet all in non-populated areas (7/18/2014).

Polygon boundaries of Tribal Statistical Areas, published by the US Census Bureau. Each feature represents one tribal statistical area and includes its name, code, land and water area, and population and housing unit counts. Coverage is the United States.

Polygon boundaries of American Indian reservations and off-reservation trust lands, published by the US Census Bureau. Each feature represents one reservation or trust land and includes its name, code, land and water area, and population and housing unit counts. Coverage is the United States.

Polygon boundaries of Primary Metropolitan Statistical Areas (PMSAs), published by the US Census Bureau. Each feature represents one PMSA and includes its name, code, land and water area, and population and housing unit counts. Coverage is the United States.

Boundary features labeling 108th Congressional Districts in the United States, published by the US Census Bureau. Each feature represents one congressional district, with columns for district number, housing unit count, and population count.

Point features labeling Metropolitan Statistical Areas in the United States, published by the US Census Bureau. Each feature represents one metropolitan statistical area, identified by its name in the BASENAME column, such as San Angelo, TX or Johnstown, PA.

Label points for metropolitan divisions, published by the US Census Bureau. Each feature represents one metropolitan division, identified by its name in the BASENAME field, such as Fort Lauderdale-Pompano Beach-Deerfield Beach, FL. Covers the United States.

Label points for combined statistical areas, published by the US Census Bureau. Each feature represents one combined statistical area, identified by its name in the BASENAME field, such as Youngstown-Warren-East Liverpool, OH-PA. Covers the United States.

Label points for New England city and town area divisions, published by the US Census Bureau. Each feature represents one division, identified by its name in the BASENAME field, such as Lowell-Billerica-Chelmsford, MA-NH. Covers New England in the United States.

Label points for combined New England city and town areas, published by the US Census Bureau. Each feature represents one combined area, identified by its name in the BASENAME field, such as Boston-Worcester-Manchester, MA-NH-CT-ME. Covers New England in the United States.

Urban cluster label points from the US Census Bureau, each representing a named urban cluster with its population and housing unit counts. The BASENAME field gives the cluster name, such as Lindsay, CA. Covers urban clusters in the United States.

Urbanized area label points from the US Census Bureau, each representing a named urbanized area with its population and housing unit counts. The BASENAME field gives the area name, such as Visalia, CA. Covers urbanized areas in the United States.

Voting Districts (Labels) is a vector dataset published by the US Census Bureau. Each feature represents a labeled voting district, identified by a BASENAME. The data covers the United States of America.

2010 State Legislative Districts - Lower (Labels) is a vector dataset published by the US Census Bureau. Each feature represents a labeled lower state legislative district as of 2010, with attributes including district number, housing unit count, and population count. The data covers the United States of America.

2010 State Legislative Districts - Upper (Labels) is a vector dataset published by the US Census Bureau. Each feature represents a labeled upper state legislative district as of 2010, with attributes including district number, housing unit count, and population count. The data covers the United States of America.

Labels for counties in the United States, published by the US Census Bureau. Each feature represents a county and includes a base name such as Calhoun, Poquoson, or Pocahontas.

Labels for metropolitan statistical areas in the United States, published by the US Census Bureau. Each feature represents a metropolitan statistical area and includes a base name such as Bellingham, WA.

Labels for metropolitan divisions in the United States, published by the US Census Bureau. Each feature represents a metropolitan division and includes a base name such as Montgomery County-Bucks County-Chester County, PA.

Labels for combined statistical areas in the United States, published by the US Census Bureau. Each feature represents a combined statistical area, with the BASENAME column giving its name, such as Burlington-Fort Madison-Keokuk, IA-IL-MO.

Labels for micropolitan New England city and town areas, published by the US Census Bureau. Each feature represents a micropolitan area, with the BASENAME column giving its name, such as Athol, MA or Augusta, ME.

Labels for metropolitan New England city and town areas, published by the US Census Bureau. Each feature represents a metropolitan area, with the BASENAME column giving its name, such as Bangor, ME or Boston-Cambridge-Newton, MA-NH.

geoBoundaries ADM1 boundaries for Madagascar: 22 units, representing 2017. Source: OpenStreetMap, Wambacher. Open Data Commons Open Database License 1.0

ACS 2023 Legal and Statistical Entities Web Map Service; January 1, 2023 vintage