Boundaries data
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ACS 2014 Legal and Statistical Entities Web Map Service; January 1, 2014 vintage
ACS 2014 Legal and Statistical Entities Web Map Service; January 1, 2014 vintage
ACS 2014 Legal and Statistical Entities Web Map Service; January 1, 2014 vintage
ACS 2023 Legal and Statistical Entities Web Map Service; January 1, 2023 vintage
ACS 2014 Legal and Statistical Entities Web Map Service; January 1, 2014 vintage
ACS 2014 Legal and Statistical Entities Web Map Service; January 1, 2014 vintage
ACS 2012 Legal and Statistical Entities Web Map Service; January 1, 2012 vintage
ACS 2015 Legal and Statistical Entities Web Map Service; January 1, 2015 vintage
ACS 2015 Legal and Statistical Entities Web Map Service; January 1, 2015 vintage
ACS 2015 Legal and Statistical Entities Web Map Service; January 1, 2015 vintage
ACS 2015 Legal and Statistical Entities Web Map Service; January 1, 2015 vintage
geoBoundaries ADM2 boundaries for Chad: 70 units, representing 2019. Source: OCHA Chad, OCHA Chad.
geoBoundaries ADM2 boundaries for Jordan: 52 units, representing 2006. Source: geoBoundaries, Wikimedia Commons.
ACS 2015 Legal and Statistical Entities Web Map Service; January 1, 2015 vintage
ACS 2015 Legal and Statistical Entities Web Map Service; January 1, 2015 vintage
ACS 2015 Legal and Statistical Entities Web Map Service; January 1, 2015 vintage
ACS 2015 Legal and Statistical Entities Web Map Service; January 1, 2015 vintage
geoBoundaries ADM2 boundaries for Guatemala: 342 units, representing 2021. Source: Coordinadora Nacional Para La Reducción De Desastres, OCHA FISS.
ACS 2016 Legal and Statistical Entities Web Map Service; January 1, 2016 vintage
geoBoundaries ADM1 boundaries for Slovenia: 2 units, representing 2021. Source: Eurostat- European Commission.
Labels for states in the United States, published by the US Census Bureau. Each feature represents a state or territory and includes a state abbreviation such as VI, MP, or GU.
This layer is derived from the Common Ownership Lots and represents property transactions as they’ve occurred since the implementation of the Vector Property Mapping program in September 2006. A property transaction entails new geometry (split/combination of Lot(s) or property type conversion (from Air Rights, Record, or Tax Lots to Condo lots). The layer contains locations and attributes of archived features (inactive lots – dead lots) and corresponds with Office of Tax and Revenue's Public Extract files (ITSPE). It occurs weekly for the current calendar year and geometry updated when a transaction occurs.
geoBoundaries ADM1 boundaries for Peru: 26 units, representing 2008. Source: Wikimedia Commons.
ACS 2016 Legal and Statistical Entities Web Map Service; January 1, 2016 vintage
ACS 2016 Legal and Statistical Entities Web Map Service; January 1, 2016 vintage
ACS 2016 Legal and Statistical Entities Web Map Service; January 1, 2016 vintage
ACS 2016 Legal and Statistical Entities Web Map Service; January 1, 2016 vintage
geoBoundaries ADM2 boundaries for Guam: 19 units, representing 2021. Source: United States Census Bureau, MAF/TIGER.
ACS 2026 Legal and Statistical Entities Web Map Service; January 1, 2026 vintage
Natural Earth 10m Land Boundaries The Natural Earth 10m Land Boundaries dataset provides a generalized, small-scale representation of global land boundary features suitable for regional to global mapping applications. At a scale of 1:10 million, the dataset captures international boundaries between countries and sovereign entities, emphasizing cartographic clarity and performance over fine positional accuracy. The data is designed for thematic mapping, visualization, and analytical overviews where high detail is not required. Boundaries are simplified to reduce complexity while preserving the essential geographic relationships between territories. This makes the dataset particularly useful for web mapping, dashboards, atlases, and large-area spatial analyses. Compiled from a combination of public domain sources and curated by the Natural Earth project, the dataset ensures consistency in boundary representation across the globe. It supports a wide range of GIS platforms and is distributed in standard geospatial formats, enabling easy integration into mapping workflows. While suitable for visualization and general analysis, the dataset is not intended for legal, cadastral, or high-precision applications.
This vector dataset contains labels for State American Indian Reservations, published by the US Census Bureau. Each feature represents a reservation, identified by its name in the BASENAME column, such as Mattaponi, Golden Hill Paugussett, and Paucatuck Eastern Pequot. The data covers the United States.
ACS 2016 Legal and Statistical Entities Web Map Service; January 1, 2016 vintage
ACS 2016 Legal and Statistical Entities Web Map Service; January 1, 2016 vintage
ACS 2016 Legal and Statistical Entities Web Map Service; January 1, 2016 vintage
ACS 2017 Legal and Statistical Entities Web Map Service; January 1, 2017 vintage
ACS 2017 Legal and Statistical Entities Web Map Service; January 1, 2017 vintage