Boundaries data

Congressional Districts, Voting Districts, State Legislative Districts - Upper, State Legislative Districts - Lower; January 1, 2016 vintage; Generalized

Congressional Districts, Voting Districts, State Legislative Districts - Upper, State Legislative Districts - Lower; January 1, 2016 vintage; Generalized

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

geoBoundaries ADM1 boundaries for Republic of Moldova: 37 units, representing 2020. Source: UNHCR, OCHA FISS.

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

geoBoundaries ADM1 boundaries for United Republic of Tanzania: 30 units, representing 2015. Source: OpenStreetMap, Wambacher.

geoBoundaries ADM2 boundaries for Cuba: 168 units, representing 2017. Source: OpenStreetMap, Wambacher. Open Data Commons Open Database License 1.0

geoBoundaries ADM0 boundaries for Liberia: 1 units, representing 2021. Source: UNMIL, OCHA ROWCA.

geoBoundaries ADM1 boundaries for Netherlands: 12 units, representing 2022. Source: National Georegister.

geoBoundaries ADM0 boundaries for Montserrat: 1 units, representing 2021. Source: raster2polygon from Sentinel-2 10m Land Cover where Image Year = 2021 / exclude gridcode = 1 (water) / dissolve / processed by IMB.

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

geoBoundaries ADM1 boundaries for Niger: 6 units, representing 2012. Source: IPUMS DHS.

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

geoBoundaries ADM0 boundaries for Sudan: 1 units, representing 2020. Source: Information Management Working Group (IMWG), OCHA ROSEA.

geoBoundaries ADM1 boundaries for Sudan: 19 units, representing 2020. Source: Information Management Working Group (IMWG), OCHA ROSEA.

geoBoundaries ADM0 boundaries for Panama: 1 units, representing 2022. Source: The World Factbook - CIA.

geoBoundaries ADM1 boundaries for Panama: 13 units, representing 2017. Source: OpenStreetMap, Wambacher. Open Data Commons Open Database License 1.0

geoBoundaries ADM1 boundaries for Ireland: 4 units, representing 2022. Source: Ordce Survey Ireland.

geoBoundaries ADM0 boundaries for Senegal: 1 units, representing 2019. Source: Government of Senegal, OCHA ROWCA.

geoBoundaries ADM3 boundaries for Burkina Faso: 351 units, representing 2007. Source: New York University Spatial Data Repository, Stanford University, Map Maker Limited. License on metadata pop-up on source page

ACS 2018 Legal and Statistical Entities Web Map Service; January 1, 2018 vintage

geoBoundaries ADM0 boundaries for Burkina Faso: 1 units, representing 2017. Source: GeoBoundaries, World Bank.

geoBoundaries ADM1 boundaries for Burkina Faso: 13 units, representing 2017. Source: World Bank.

geoBoundaries ADM2 boundaries for Sri Lanka: 25 units, representing 2017. Source: OpenStreetMap, Wambacher. Open Data Commons Open Database License 1.0

geoBoundaries ADM2 boundaries for South Sudan: 78 units, representing 2020. Source: South Sudan Information Management Working Group (IMWG), National Bureau of Statistics (NBS), and OCHA, OCHA South Sudan.

geoBoundaries ADM2 boundaries for United Kingdom: 216 units, representing 2019. Source: Office for National Statistics Open Geography Portal. www.nationalarchives.gov.uk/doc/open-government-licence/version/3/

geoBoundaries ADM3 boundaries for United Kingdom: 216 units, representing 2020. Source: Office for National Statistics.

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

Line features representing the boundary of Galway City, published by Galway City Council. Each feature carries a feature code, layer code and length.

ACS 2022 Legal and Statistical Entities Web Map Service; January 1, 2022 vintage

ACS 2018 Legal and Statistical Entities Web Map Service; January 1, 2018 vintage

geoBoundaries ADM0 boundaries for Portugal: 1 units, representing 2016. Source: DG Territory. Open data noted on source page

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

ACS 2018 Legal and Statistical Entities Web Map Service; January 1, 2018 vintage

https://gis.data.ca.gov/datasets/CaliforniaARB::california-air-district-boundaries/about The air quality control board dataset represents the Northern Sonoma County Air Pollution Control District (a.k.a. NSCAPCD) and the Bay Area Air Quality Management District (a.k.a. BAAQMD). The Northern Sonoma County Air Pollution Control District set forth Rule 110 which states: rules and regulations are set forth to achieve and maintain such levels of air quality as will protect human health and safety; prevent injury to plant and animal life; avoid damage to property; and preserve the comfort, convenience and enjoyment of the natural attractions of the California North Coast Air Basin. The Bay Area Air Quality Management District is committed to achieving clean air to protect the public's health and the environment in the San Francisco Bay region. The Air District aims to: 1) attain and maintain air quality standards, 2) increase public awareness of positive air quality choices, and 3) develop and implement protocol and policies for environmental justice. It is the intent of all air pollution control districts and air quality management districts in the California North Coast Air Basin to adopt and enforce rules and regulations which assure that reasonable provision is made to achieve and maintain state and federal ambient air quality standards for the area under their jurisdiction and to enforce all applicable provisions of State law.

Legal and Statistical Entities Web Map Service; January 1, 2020 vintage