Boundaries data

Boundary features labeling 2000 State Legislative Districts - Lower in the United States, published by the US Census Bureau. Each feature represents one lower state legislative district, with columns for district code, geographic identifier, housing unit count, and population count.

111th Congressional Districts (Labels) is a vector dataset published by the US Census Bureau. Each feature represents a labeled congressional district for the 111th Congress, with attributes including GEOID, district number, housing unit count, and population count. The data covers the United States of America.

Labels for combined New England city and town areas, published by the US Census Bureau. Each feature represents a combined area, with the BASENAME column giving its name, such as Boston-Worcester-Providence, MA-RI-NH-CT-ME.

Urban area labels from the 2020 Census, published by the US Census Bureau. Each feature represents an urban area, with BASENAME giving the area name, and POP100 and HU100 providing the population and housing unit counts.

geoBoundaries ADM2 boundaries for Malawi: 28 units, representing 2020. Source: National Statistics Office of Malawi, OCHA ROSEA.

This vector dataset contains labels for Tribal Subdivisions, published by the US Census Bureau. Each feature represents a subdivision, identified by its name in the BASENAME column, such as Red Valley, Rock Point, and Rough Rock. The data covers the United States.

ZIP Code Tabulation Areas (ZCTAs) with labels. Each row represents a ZCTA with attributes for ZIP code, population, housing unit count, and geometry measures. Published by the US Census Bureau for the United States.

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

geoBoundaries ADM0 boundaries for Bulgaria: 1 units, representing 2019. Source: geoBoundaries, Wikimedia.

geoBoundaries ADM2 boundaries for Bangladesh: 64 units, representing 2020. Source: Bangladesh Bureau of Statistics (BBS), OCHA ROAP.

geoBoundaries ADM1 boundaries for Bangladesh: 8 units, representing 2015. Source: geoBoundaries, Wikimedia Commons.

Legal and Statistical Entities Web Map Service; January 1, 2000 vintage

Metropolitan and Micropolitan Statistical Areas and Related Statistical Areas: Combined New England City and Town Areas, New England City and Town Area Divisions, Metropolitan NECTAs, Micropolitan NECTAs, Combined Statistical Areas, Metropolitan Divisions, Metropolitan Statistical Areas, Micropolitan Statistical Areas; January 1, 2020 vintage

ACS 2017 Legal and Statistical Entities Web Map Service; January 1, 2017 vintage

geoBoundaries ADM1 boundaries for Gambia: 8 units, representing 2020. Source: Knippenberg, Erwin, & Moritz, Meyer. “The Hidden Potential of Mobile Phone Data Insights on COVID-19 in the Gambia.” Data Blog, The World Bank Data Catalog.

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

ACS 2021 Legal and Statistical Entities Web Map Service; January 1, 2021 vintage

geoBoundaries ADM0 boundaries for Benin: 1 units, representing 2012. Source: geoBoundaries, Wikimedia Commons.

geoBoundaries ADM1 boundaries for Azerbaijan: 2 units, representing 2021. Source: geoBoundaries, OpenStreetMap. Open Data Commons Open Database License 1.0

geoBoundaries ADM0 boundaries for Azerbaijan: 1 units, representing 2021. Source: Sentinel-2 10-Meter Land Use/LandCover.

ACS 2019 Legal and Statistical Entities Web Map Service; January 1, 2019 vintage

This dataset is sourced from Council's Asset Management system (EAM). It contains point asset categories: Cemetery Assets Park Assets Playground Assets Private Park Assets Walk and Cycleway Assets The GIS dataset is synchronised with asset data contained in the Council’s Enterprise Asset Management (EAM) database. A subset of the GIS dataset has been made available for download. New information is entered by surveyed coordinates where these are available. Unsurveyed or historic assets were entered using dimensions from boundaries and/or existing assets. Unsurveyed and historic assets may have an accuracy in the order of +/- 10m, although it is hoped that it would generally be better than this. This GIS dataset is updated monthly. Waipā District Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data released for public download. Locations and dimensions of assets depicted in the data may not be accurate due to circumstances not notified to Council.    Waipā District Council shall not be liable for any loss, damage, cost or expense (whether direct or indirect) arising from reliance upon or use of any data provided, or Council's failure to provide this data. While you are free to crop, export and re-purpose the data, we ask that you attribute the Waipā District Council and clearly state that your work is a derivative and not the authoritative data source. Please include the following statement when distributing any work derived from this data: ‘This work is derived entirely or in part from Waipā District Council data; the provided information may be updated at any time, and may at times be out of date, inaccurate, and/or incomplete.’

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

Polygon features representing 2018 State Legislative Districts - Upper, published by the US Census Bureau. Each feature corresponds to an upper legislative district, with attributes for district name, population, and housing unit counts. Coverage is limited to the United States.

Census Current (2026) WMS Legal and Statistical Entities Web Map Service; January 1, 2026 vintage

Polygon features representing 116th Congressional Districts, published by the US Census Bureau. Each feature corresponds to a congressional district, with attributes for district name, population, and housing unit counts. Coverage is limited to the United States.

This dataset contains label points for county subdivisions in the United States, published by the US Census Bureau. Each feature represents a subdivision and includes its name, such as 'Olivet'.

Unified school district labels published by the US Census Bureau for the United States. Each feature represents a unified school district and includes its base name.

Military installation labels published by the US Census Bureau for the United States. Each feature represents a military installation and includes its name and base name.

National Park Service area polygons published by the US Census Bureau for the United States. Each feature represents a park area and includes its name, land and water area, and centroid coordinates.

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

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

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

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

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

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