Global boundaries data

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.

Natural Earth admin 0 boundary lines disputed areas at 1:10 million scale: public domain cartographic vector data built to make small-scale world, regional and country maps.

Natural Earth admin 0 boundary lines maritime indicator chn at 1:10 million scale: public domain cartographic vector data built to make small-scale world, regional and country maps.

Natural Earth admin 0 boundary lines map units at 1:10 million scale: public domain cartographic vector data built to make small-scale world, regional and country maps.

The source for the interim RUB was the operative Regional Policy Statement MUL, changes were provided by Spatial Infrastructure Strategy and endorsed by The Auckland Plan Committee.The boundary which defines the maximum extent of urban development to 2040 in the form of a permanent rural urban interface. It is defined around the following urban areas:metropolitan urban area of Auckland, Orewa and the urban areas of Waiheke Island and Whangaparaoa Peninsula the satellite towns of Pukehoke and Warkworth rural and coastal towns of Beachlands/Pine Harbour, Helensville, Kumeu-Huapai, Oneroa, Riverhead, Snells Beach/Algies Bay, Waiuku and Wellsford serviced villages.

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.’

Retirement Notice: This item is in mature support as of February 2026 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. This layer shows vacant housing by type (for rent/sale, vacation home, etc.). This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percent of housing units that are vacant. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top left.  Vintage: 2019-2023ACS Table(s): B25004, B25002, B25003 (Not all lines of ACS tables B25002 and B25003 are available in this layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.gov  The United States Census Bureau's American Community Survey (ACS):About the Survey   Geography & ACS   Technical Documentation   News & Updates   This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data. Data Note from the Census:  Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data).  The effect of nonsampling error is not represented in these tables. Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.   Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey. Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.   Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate. Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.   The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate. The estimate is controlled. A statistical test for sampling variability is not appropriate.   The data for this geographic area cannot be displayed because the number of sample cases is too small.

Natural Earth admin 0 antarctic claim limit lines at 1:10 million scale: public domain cartographic vector data built to make small-scale world, regional and country maps.

This spatial layer depicts the proposed planning area boundary for the new Southern Plan of Management. The planning area extends from approximately Midge Point to the southern boundary of the Marine Park aligning in most parts with the Mackay/Capricorn Management Area (except at the northern coastal area where the boundary follows the Yuwibara Native Title Determination). The boundary is within both the Great Barrier Reef Marine Park boundary and the Great Barrier Reef Marine Park Mackay/Capricorn Management Area boundary. The proposed planning area spatial layer was created by the Great Barrier Reef Marine Park Authority in July 2023, in preparation for the first round of public consultation as part of the development of the Southern Plan of Management. A plan of management’s objectives under the Great Barrier Reef Marine Park Act 1975 are to improve the protection and conservation of Marine Park values, while providing for multiple uses and managing user conflicts. During the public consultation phase, comments are sought on how to protect the Marine Park values and manage use into the future.

Natural Earth admin 0 boundary lines maritime indicator at 1:10 million scale: public domain cartographic vector data built to make small-scale world, regional and country maps.

Natural Earth admin 0 antarctic claims at 1:10 million scale: public domain cartographic vector data built to make small-scale world, regional and country maps.

This dataset contains the following administrative boundaries: ADM0. Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database www.geoboundaries.org is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.

geoBoundaries ADM0 boundaries for Curaçao: 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 Antartica: 1 units, representing 2020. Source: Natural Earth.

Sint Maarten (Dutch part) administrative level 0-1 boundaries (COD-AB) dataset version 01. This dataset is structured into 1 level: - Admin 1: 8 Dates associated with this dataset: - 07 November 2024: dataset reviewed for accuracy and completeness - 22 January 2024: valid for use by the humanitarian community - 14 September 2018: last edit to the dataset before publishing - 14 September 2018: boundaries created by the source Quality assured, configured, and published by OCHA Field Information Services (FIS) and HDX. Part of the dataset: Global Subnational Administrative Boundaries

Boundary of the Jordan River Basin obtained from HydroBASINS (Lerner and Grill, 2013). Jordan River Basin is derived from the HydroRIVERS product, which was obtained by delineating river networks from hydrologically corrected elevation data (WWF HydroSHEDS, Lehner et al. 2008; Lehner and Grill 2013). The Jordan river, as well as any other river within the HydroRIVERS database, is co-registered to the sub-basin of the HydroBASINS database in which it resides (via a shared ID). Source: The HydroRIVERS product has been developed on behalf of World Wildlife Fund US (WWF), Washington DC, USA, in collaboration with McGill University, Montreal, Canada. Major funding for the underpinning HydroSHEDS project was provided to WWF by Sealed Air Corporation. Citations and acknowledgements of the HydroRIVERS data should be made as follows: Lehner, B., Grill G. (2013): Global river hydrography and network routing: baseline data and new approaches to study the world’s large river systems. Hydrological Processes, 27(15): 2171–2186. Data is available at www.hydrosheds.org. **Data publication:** 2019-07-01 **Contact points:** Metadata Contact: [Solomon Seyoum](mailto:s.seyoum@un-ihe.org) **Data lineage:** Contact WWF Hydrosheds for more information at https://www.hydrosheds.org/page/hydrobasins **Resource constraints:** HydroRIVERS data are covered by the same License Agreement as the HydroSHEDS database, which is available at https://www.hydrosheds.org/products/hydrorivers. HydroRIVERS data are free for non-commercial and commercial use. For all regulations regarding license grants, copyright, redistribution restrictions, required attributions, disclaimer of warranty, indemnification, liability, waiver of damages, and a precise definition of licensed materials, please refer to the License Agreement. By downloading and using the data the user agrees to the terms and conditions of the License Agreement. **Online resources:** WWF Hydrosheds official website

This is a global dataset containing polygons of Exclusive Economic Zones from the Flanders Marine Institute (VLIZ), included in VLIZ (2023) Maritime Boundaries Geodatabase - Version 12 (MarineRegions.org). An exclusive economic zone (EEZ) is a seazone extending from a state's coast or baseline over which the state has special rights over the exploration and use of marine resources. Generally a state's EEZ extends 200 nautical miles out from its coast, except where resulting points would be closer to another country. This dataset also contains delimitation of overlapping claims and joint regimes. More information on the Maritime Boundaries and Exclusive Economic Zones (200NM), version 12 at https://doi.org/10.14284/632. Marine Regions data are freely available at https://www.marineregions.org/downloads.php **Data publication:** 2026-02-15 **Citation:** Flanders Marine Institute (2023). Maritime Boundaries Geodatabase: Maritime Boundaries and Exclusive Economic Zones (200NM), version 12. Available online at https://www.marineregions.org/. https://doi.org/10.14284/632 **Contact points:** Resource Contact: [Marine Regions Project (VLIZ)](mailto:info@marineregions.org) Metadata Contact: Marine Regions Project (VLIZ) Flanders Marine Institute **Data lineage:** Information on data source and lineage at https://marineregions.org/eezmethodology.php **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) Please refer to the License, terms of use & citation page of the Marine Region website for other uses of the Licensed Material beyond license terms. **Online resources:** Download the EEZ shapefile from MarineRegions.org Download Latest Version of Marine Regions Datasets

Natural Earth admin 0 countries at 1:10 million scale: public domain cartographic vector data built to make small-scale world, regional and country maps.

Natural Earth admin 0 countries twn at 1:10 million scale: public domain cartographic vector data built to make small-scale world, regional and country maps.

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. New Zealand Country Boundaries provides a 2021 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2021 boundaries are provided by Michael Bauer Research GmbH. They are sourced from Statistics New Zealand, www.stats.govt.nz. These were published in October 2022. A new layer will be published in 18 months. Other administrative boundaries for this country are also available: Region TerritorialAuthority StatisticalArea

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Fiji Province Boundaries provides a 2021 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2021 boundaries are provided by Michael Bauer Research GmbH. These were published in October 2022. A new layer will be published in 18 months. Other administrative boundaries for this country are also available: Country Division

Upper Hutt parks information including sportsfields, picnic areas, and tracks.

Polygon boundaries of countries and territories worldwide, with names such as Afghanistan and Abyei (disp). Each feature represents one country or territory, and attributes include area and perimeter measurements. Published by Orion Terrametrics.

Global time zone boundaries at 1:10 million scale from Natural Earth, showing UTC offset zones worldwide. Includes time zone name, UTC offset, and daylight saving time attributes. Use this layer for international operations planning, logistics coordination, communications scheduling, and cartographic reference mapping globally. No additional information provided.

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. New Zealand Region Boundaries provides a 2021 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2021 boundaries are provided by Michael Bauer Research GmbH. They are sourced from Statistics New Zealand, www.stats.govt.nz. These were published in October 2022. A new layer will be published in 18 months. Other administrative boundaries for this country are also available: Country TerritorialAuthority StatisticalArea

geoBoundaries ADM0 boundaries for Bonaire Sint Eustatius and Saba: 1 units, representing 2021. Source: Sentinel-2 10-Meter Land Use/LandCover.

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. New Zealand StatisticalArea Boundaries provides a 2021 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2021 boundaries are provided by Michael Bauer Research GmbH. They are sourced from Statistics New Zealand, www.stats.govt.nz. These were published in October 2022. A new layer will be published in 18 months. Other administrative boundaries for this country are also available: Country Region TerritorialAuthority

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Fiji Division Boundaries provides a 2021 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2021 boundaries are provided by Michael Bauer Research GmbH. These were published in October 2022. A new layer will be published in 18 months. Other administrative boundaries for this country are also available: Country Province

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Fiji Country Boundary provides a 2021 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2021 boundaries are provided by Michael Bauer Research GmbH. These were published in October 2022. A new layer will be published in 18 months. Other administrative boundaries for this country are also available: Division Province

Global land polygon layer at 1:10 million scale from Natural Earth, representing all land areas including major islands. Used as a base map land mask for cartographic production, spatial analysis, and overlay with other global datasets. Use this layer for land/sea masking, continental mapping, and as a reference base for thematic global maps. No additional information provided.

Natural Earth admin 0 boundary lines land at 1:10 million scale: public domain cartographic vector data built to make small-scale world, regional and country maps.

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. New Zealand TerritorialAuthority Boundaries provides a 2021 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2021 boundaries are provided by Michael Bauer Research GmbH. They are sourced from Statistics New Zealand, www.stats.govt.nz. These were published in October 2022. A new layer will be published in 18 months. Other administrative boundaries for this country are also available: Country Region StatisticalArea

Global country boundary polygons at 1:10 million scale from Natural Earth, showing de facto boundaries based on who controls the territory. Includes country name, ISO codes, population, GDP, and continent attributes. Use this layer for global thematic mapping, international comparisons, political geography analysis, and as a reference base for world maps. No additional information provided.

Natural Earth admin 0 countries tlc at 1:10 million scale: public domain cartographic vector data built to make small-scale world, regional and country maps.

Sint Maartin administrative level 0-4 edge-matched gazetteer, shapefiles, geodatabase, and geoservice. This dataset was updated in January 2024 to correspond to the COD-AB with the newer five-regions administrative structure. COD-EM datasets do not replace the authoritative COD-AB available here; however COD-EM datasets may be preferred for cartographic purposes. See caveats. These layers are suitable for database or GIS linkage to the Sint Maarten - Subnational Population Statistics tables. Vetting by Information Technology Outreach Services (ITOS) with funding from USAID.

Curaçao administrative level 0-1 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. This COD-AB has NOT been reviewed for accuracy and necessary changes in the last 12 months. Sourced from www.gadm.org Vetting by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Curaçao COD-PS. As this is an island country, no edge-matched (COD-EM) version of this COD-AB is required. Please see the COD Portal. Administrative level 1 contains 66 feature(s). The normal administrative level 1 feature type is 'currently not known'. Recommended cartographic projection: North America Albers Equal Area Conic This metadata was last updated on January 18, 2025.