100+ datasets found
  1. USA Urban Areas

    • hub.arcgis.com
    Updated Apr 22, 2014
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    Esri (2014). USA Urban Areas [Dataset]. https://hub.arcgis.com/maps/432bb9246fdd467c88136e6ffeac2762
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    Dataset updated
    Apr 22, 2014
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Important Note: This item is in mature support as of June 2023 and will retire in December 2025. A new version of this item is available for your use.The layers going from 1:1 to 1:1.5M present the 2010 Census Urbanized Areas (UA) and Urban Clusters (UC). A UA consists of contiguous, densely settled census block groups (BGs) and census blocks that meet minimum population density requirements (1000 people per square mile (ppsm) / 500 ppsm), along with adjacent densely settled census blocks that together encompass a population of at least 50,000 people. A UC consists of contiguous, densely settled census BGs and census blocks that meet minimum population density requirements, along with adjacent densely settled census blocks that together encompass a population of at least 2,500 people, but fewer than 50,000 people. The dataset covers the 50 States plus the District of Columbia within United States. The layer going over 1:1.5M presents the urban areas in the United States derived from the urban areas layer of the Digital Chart of the World (DCW). It provides information about the locations, names, and populations of urbanized areas for conducting geographic analysis on national and large regional scales. To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to USA Census Urban Areas.

  2. Urban Areas

    • catalog.data.gov
    • s.cnmilf.com
    • +3more
    Updated Jul 17, 2025
    + more versions
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    United States Census Bureau (USCB) (Point of Contact) (2025). Urban Areas [Dataset]. https://catalog.data.gov/dataset/urban-areas2
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    Dataset updated
    Jul 17, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The Urban Areas dataset was compiled on May 31, 2023 from the United States Census Bureau (USCB) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the urban footprint. There are 2,645 Urban Areas (UAs) in this data release with either a minimum population of 5,000 or a housing unit count of 2,000 units. Each urban area is identified by a 5-character numeric census code that may contain leading zeroes. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529088

  3. a

    Urban Areas, 2020 (TIGER)

    • hub.arcgis.com
    • catalog.dvrpc.org
    • +2more
    Updated Feb 15, 2025
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    DVRPC-GIS (2025). Urban Areas, 2020 (TIGER) [Dataset]. https://hub.arcgis.com/maps/dvrpcgis::urban-areas-2020-tiger
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    Dataset updated
    Feb 15, 2025
    Dataset authored and provided by
    DVRPC-GIS
    Area covered
    Description

    This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the urban footprint. There are 2,646 Urban Areas (UAs) in this data release with either a minimum population of 5,000 or a housing unit count of 2,000 units. Each urban area is identified by a 5-character numeric census code that may contain leading zeroes.

  4. n

    Census Bureau 2020 Urban Areas

    • data.gis.ny.gov
    Updated Feb 20, 2025
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    New York State Department of Environmental Conservation (2025). Census Bureau 2020 Urban Areas [Dataset]. https://data.gis.ny.gov/maps/nysdec::census-bureau-2020-urban-areas
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    Dataset updated
    Feb 20, 2025
    Dataset authored and provided by
    New York State Department of Environmental Conservation
    Area covered
    Description

    This layer includes all New York State Urban Areas as identified by the United States Census Bureau (2020).

  5. C

    California Urban Area Delineations

    • data.ca.gov
    Updated Jul 2, 2025
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    California Department of Finance (2025). California Urban Area Delineations [Dataset]. https://data.ca.gov/dataset/california-urban-area-delineations
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    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Jul 2, 2025
    Dataset provided by
    Calif. Dept. of Finance Demographic Research Unit
    Authors
    California Department of Finance
    Area covered
    California
    Description

    The Census Bureau released revised delineations for urban areas on December 29, 2022. The new criteria (contained in this Federal Register Notice) is based primarily on housing unit density measured at the census block level. The minimum qualifying threshold for inclusion as an urban area is an area that contains at least 2,000 housing units or has a population of at least 5,000 persons. It also eliminates the classification of areas as “urban clusters/urbanized areas”. This represents a change from 2010, where urban areas were defined as areas consisting of 50,000 people or more and urban clusters consisted of at least 2,500 people but less than 50,000 people with at least 1,500 people living outside of group quarters. Due to the new population thresholds for urban areas, 36 urban clusters in California are no longer considered urban areas, leaving California with 193 urban areas after the new criteria was implemented.

    The State of California experienced an increase of 1,885,884 in the total urban population, or 5.3%. However, the total urban area population as a percentage of the California total population went down from 95% to 94.2%. For more information about the mapped data, download the Excel spreadsheet here.

    Please note that some of the 2020 urban areas have different names or additional place names as a result of the inclusion of housing unit counts as secondary naming criteria.

    Please note there are four urban areas that cross state boundaries in Arizona and Nevada. For 2010, only the parts within California are displayed on the map; however, the population and housing estimates represent the entirety of the urban areas. For 2020, the population and housing unit estimates pertains to the areas within California only.

    Data for this web application was derived from the 2010 and 2020 Censuses (2010 and 2020 Census Blocks, 2020 Urban Areas, and Counties) and the 2016-2020 American Community Survey (2010 -Urban Areas) and can be found at data.census.gov.

    For more information about the urban area delineations, visit the Census Bureau's Urban and Rural webpage and FAQ.

    To view more data from the State of California Department of Finance, visit the Demographic Research Unit Data Hub.

  6. TIGER/Line Shapefile, 2020, Nation, U.S., 2020 Census Urban Area

    • catalog.data.gov
    Updated Aug 11, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2025). TIGER/Line Shapefile, 2020, Nation, U.S., 2020 Census Urban Area [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2020-nation-u-s-2020-census-urban-area
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    Dataset updated
    Aug 11, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the urban footprint. There are 2,645 Urban Areas (UAs) in this data release with either a minimum population of 5,000 or a housing unit count of 2,000 units. Each urban area is identified by a 5-character numeric census code that may contain leading zeroes.

  7. f

    Data from: A 10 m resolution urban green space map for major Latin American...

    • figshare.com
    zip
    Updated Aug 14, 2025
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    Yang Ju; Iryna Dronova; Xavier Delclòs-Alió (2025). A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap [Dataset]. http://doi.org/10.6084/m9.figshare.19803790.v4
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    zipAvailable download formats
    Dataset updated
    Aug 14, 2025
    Dataset provided by
    figshare
    Authors
    Yang Ju; Iryna Dronova; Xavier Delclòs-Alió
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Latin America
    Description

    Here we produced the first 10 m resolution urban green space (UGS) map for the main urban clusters across 371 major Latin American cities as of 2017. Our approach applied a supervised classification of Sentinel-2 satellite imagery and UGS samples derived from OpenStreetMap (OSM). The overall accuracy of this UGS map in 11 randomly selected cities was 0.87, evaluated by independently collected validation samples (‘ground truth’). We further improved mapping quality through a visual inspection and additional sample collection. The resulting UGS map enables studies to measure area, spatial configuration, and human exposures to UGS, facilitating studies about the relationship between UGS and human exposures to environmental hazards, public health outcomes, and environmental justice issues in Latin American cities.UGS in this map series includes grass, shrub, forest, and farmland, and non-UGS included buildings, pavement, roads, barren land, and dry vegetation.The UGS map series includes three sets of files:(1) binary UGS maps at 10 m spatial resolution in GEOTIFF format (UGS.zip), with each of the 371 cities being an individual map. Mapped value of 1 indicates UGS, 0 indicates non-UGS, and no data (with value of -32768) indicates areas outside the mapped boundary or water bodies;(2) a shapefile of mapped boundaries (Boundaries.zip). The boundary file contains city name, country name and its ISO-2 country code, and an ID field linking each city's boundary to the corresponding UGS map.(3) .prj files containing projection information for the binary UGS maps and boundary shapefile. The binary UGS maps are projected with World Geodetic System (WGS) 84 / Pseudo-Mercator projected coordinate system (EPSG: 3857), and the boundary shapefile is projected with WGS 1984 geographic coordinate system (EPSG: 4326)Reference: A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap, published by Scientific Data [link].Citation: Ju, Y., Dronova, I., & Delclòs-Alió, X. (2022). A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap. Scientific Data, 9, Article 1. https://doi.org/10.1038/s41597-022-01701-y

  8. d

    2019 Cartographic Boundary KML, 2010 Urban Areas (UA) within 2010 County and...

    • catalog.data.gov
    Updated Jan 15, 2021
    + more versions
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    (2021). 2019 Cartographic Boundary KML, 2010 Urban Areas (UA) within 2010 County and Equivalent for Texas, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2019-cartographic-boundary-kml-2010-urban-areas-ua-within-2010-county-and-equivalent-for-texas-
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    Dataset updated
    Jan 15, 2021
    Area covered
    Texas
    Description

    The 2019 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. The records in this file allow users to map the parts of Urban Areas that overlap a particular county. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the ""urban footprint."" There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The generalized boundaries for counties and equivalent entities are as of January 1, 2010.

  9. d

    2015 Cartographic Boundary File, Urban Area-State-County for Maryland,...

    • catalog.data.gov
    Updated Jan 13, 2021
    + more versions
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    (2021). 2015 Cartographic Boundary File, Urban Area-State-County for Maryland, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2015-cartographic-boundary-file-urban-area-state-county-for-maryland-1-5000001
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    Dataset updated
    Jan 13, 2021
    Area covered
    Maryland
    Description

    The 2015 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. The records in this file allow users to map the parts of Urban Areas that overlap a particular county. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the "urban footprint." There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for counties and equivalent entities are as of January 1, 2010.

  10. K

    World Urban Areas (1:10 million)

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Dec 3, 2009
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    Natural Earth (2009). World Urban Areas (1:10 million) [Dataset]. https://koordinates.com/layer/1285-world-urban-areas-110-million/
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    geopackage / sqlite, shapefile, mapinfo mif, csv, dwg, geodatabase, mapinfo tab, pdf, kmlAvailable download formats
    Dataset updated
    Dec 3, 2009
    Dataset authored and provided by
    Natural Earth
    Area covered
    World,
    Description

    Urban areas worldwide, from the Natural Earth project.

    Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com.

  11. a

    2020 Adjusted Urban Area Boundaries

    • data-uplan.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jan 22, 2025
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    UPlan Map Center (2025). 2020 Adjusted Urban Area Boundaries [Dataset]. https://data-uplan.opendata.arcgis.com/datasets/2020-adjusted-urban-area-boundaries
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    Dataset updated
    Jan 22, 2025
    Dataset authored and provided by
    UPlan Map Center
    Area covered
    Description

    The FHWA-adjusted urban area boundaries for 2020 were officially approved in December 2024. The raw urban area boundaries were initially released by the US Census Bureau on December 29, 2022. The process of defining the updated adjusted urban boundaries for the 2020 Census data is still in progress. Feeds into the 2020 Adjusted Urban Area Boundaries web map.

  12. s

    Census 2020 Urban Area

    • data.sacog.org
    • arcgis.com
    • +1more
    Updated Jan 13, 2023
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    Sacramento Area Council of Governments (2023). Census 2020 Urban Area [Dataset]. https://data.sacog.org/datasets/db65a5ec313147bfb0c337a85d5649fd_0/about
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    Dataset updated
    Jan 13, 2023
    Dataset authored and provided by
    Sacramento Area Council of Governments
    Area covered
    Description

    These may be wholly in the region, or in part. This geography can be used to display and analyze data from the 2020 census, and data from the American Community Survey (ACS) containing the year 2020 to present.For the 2020 Census, an urban area will comprise a densely settled core of census blocks that meet minimum housing unit density and/or population density requirements. This includes adjacent territory containing non-residential urban land uses. To qualify as an urban area, the territory identified according to criteria must encompass at least 2,000 housing units or a population of at least 5,000.Census Blocks will nest inside Urban Areas, but other census geographies may not.

  13. a

    PPACG Administrative Boundaries Map

    • hub.arcgis.com
    Updated Mar 20, 2021
    + more versions
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    Pikes Peak Area Council of Governments (2021). PPACG Administrative Boundaries Map [Dataset]. https://hub.arcgis.com/maps/260a931297f24310a2f726e127193941
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    Dataset updated
    Mar 20, 2021
    Dataset authored and provided by
    Pikes Peak Area Council of Governments
    Area covered
    Description

    Web map of administrative boundaries within the Pikes Peak Area Council of Governments (PPACG) region, including the PPACG boundary, the Metropolitan Planning Organization (MPO) boundary, the Pikes Peak Rural Transportation Authority (PPRTA) boundary, the Census urban areas, the FHWA adjusted urban area, CDOT administrative and planning regions, and municipal boundaries.For more detailed information regarding the information contained, including available attribute fields, extents, and data sources, please examine the descriptions and metadata for each layer.

  14. S

    Data from: A standardized dataset of built-up areas of China’s cities with...

    • scidb.cn
    Updated Jul 7, 2021
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    Jiang Huiping; Sun Zhongchang; Guo Huadong; Du Wenjie; Xing Qiang; Cai Guoyin (2021). A standardized dataset of built-up areas of China’s cities with populations over 300,000 for the period 1990–2015 [Dataset]. http://doi.org/10.11922/sciencedb.j00076.00004
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 7, 2021
    Dataset provided by
    Science Data Bank
    Authors
    Jiang Huiping; Sun Zhongchang; Guo Huadong; Du Wenjie; Xing Qiang; Cai Guoyin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    Here we used remote sensing data from multiple sources (time-series of Landsat and Sentinel images) to map the impervious surface area (ISA) at five-year intervals from 1990 to 2015, and then converted the results into a standardized dataset of the built-up area for 433 Chinese cities with 300,000 inhabitants or more, which were listed in the United Nations (UN) World Urbanization Prospects (WUP) database (including Mainland China, Hong Kong, Macao and Taiwan). We employed a range of spectral indices to generate the 1990–2015 ISA maps in urban areas based on remotely sensed data acquired from multiple sources. In this process, various types of auxiliary data were used to create the desired products for urban areas through manual segmentation of peri-urban and rural areas together with reference to several freely available products of urban extent derived from ISA data using automated urban–rural segmentation methods. After that, following the well-established rules adopted by the UN, we carried out the conversion to the standardized built-up area products from the 1990–2015 ISA maps in urban areas, which conformed to the definition of urban agglomeration area (UAA). Finally, we implemented data postprocessing to guarantee the spatial accuracy and temporal consistency of the final product.The standardized urban built-up area dataset (SUBAD–China) introduced here is the first product using the same definition of UAA adopted by the WUP database for 433 county and higher-level cities in China. The comparisons made with contemporary data produced by the National Bureau of Statistics of China, the World Bank and UN-habitat indicate that our results have a high spatial accuracy and good temporal consistency and thus can be used to characterize the process of urban expansion in China.The SUBAD–China contains 2,598 vector files in shapefile format containing data for all China's cities listed in the WUP database that have different urban sizes and income levels with populations over 300,000. Attached with it, we also provided the distribution of validation points for the 1990–2010 ISA products of these 433 Chinese cities in shapefile format and the confusion matrices between classified data and reference data during different time periods as a Microsoft Excel Open XML Spreadsheet (XLSX) file.Furthermore, The standardized built-up area products for such cities will be consistently updated and refined to ensure the quality of their spatiotemporal coverage and accuracy. The production of this dataset together with the usage of population counts derived from the WUP database will close some of the data gaps in the calculation of SDG11.3.1 and benefit other downstream applications relevant to a combined analysis of the spatial and socio-economic domains in urban areas.

  15. a

    Map 2a - Urban Area

    • community-esrica-apps.hub.arcgis.com
    • opendata.durham.ca
    • +1more
    Updated Mar 18, 2025
    + more versions
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    Regional Municipality of Durham (2025). Map 2a - Urban Area [Dataset]. https://community-esrica-apps.hub.arcgis.com/items/1b6d3056ff50405c90b90a6a8d4000d7
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    Dataset updated
    Mar 18, 2025
    Dataset authored and provided by
    Regional Municipality of Durham
    Area covered
    Description

    A layer of the urban area boundary along with the settlement area boundary expansions areas, merged together into a continuous polygon, created for the Regional Official Plan. ROP Consolidation September 3, 2024.

  16. d

    2019 Cartographic Boundary Shapefile, 2010 Urban Areas (UA) within 2010...

    • catalog.data.gov
    Updated Dec 3, 2020
    + more versions
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    (2020). 2019 Cartographic Boundary Shapefile, 2010 Urban Areas (UA) within 2010 County and Equivalent for Michigan, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2019-cartographic-boundary-shapefile-2010-urban-areas-ua-within-2010-county-and-equivalent-for-12
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    Dataset updated
    Dec 3, 2020
    Description

    The 2019 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. The records in this file allow users to map the parts of Urban Areas that overlap a particular county. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the ""urban footprint."" There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The generalized boundaries for counties and equivalent entities are as of January 1, 2010.

  17. e

    Map visualisation service (WMS) of the dataset: Urban Areas —...

    • data.europa.eu
    wms
    Updated Oct 1, 2022
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    (2022). Map visualisation service (WMS) of the dataset: Urban Areas — Hautes-Pyrénées [Dataset]. https://data.europa.eu/data/datasets/fr-120066022-srv-3c9cb800-bdfc-47f0-97e0-803ddb45b16a
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    wmsAvailable download formats
    Dataset updated
    Oct 1, 2022
    Description

    An urban area or “large urban area” is a set of municipalities, of a single tenant and without enclave, consisting of an urban cluster (urban unit) of more than 10 000 jobs, and by rural municipalities or urban units (peri-urban crown) of which at least 40 % of the resident population with a job works in the pole or in municipalities attracted to it.

    Urban zoning 2010 also distinguishes:

    — the ‘average areas’, a set of municipalities, of a single tenant and without enclave, consisting of a pole (urban unit) of 5 000 to 10 000 jobs, and by rural municipalities or urban units of which at least 40 % of the resident population with employment works in the pole or in municipalities attracted to it.

    — the ‘small areas’, a set of municipalities, of a single holding and without enclave, consisting of a pole (urban unit) of 1 500 to 5 000 jobs, and by rural municipalities or urban units of which at least 40 % of the resident population with employment works in the pole or in municipalities attracted to it.

  18. 2020 Arizona Census Urban Areas

    • azgeo-open-data-agic.hub.arcgis.com
    Updated Feb 10, 2023
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    Arizona Department of Health Services (2023). 2020 Arizona Census Urban Areas [Dataset]. https://azgeo-open-data-agic.hub.arcgis.com/datasets/ADHSGIS::2020-arizona-census-urban-areas/about
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    Dataset updated
    Feb 10, 2023
    Dataset authored and provided by
    Arizona Department of Health Services
    Area covered
    Description

    This dataset presents the 2020 Census urban area boundaries in Arizona. The core TIGER/Line Files and Shapefiles do not include demographic data, but they do contain geographic entity codes (GEOIDs) that can be linked to the Census Bureau’s demographic data, available on data.census.gov. The TIGER/Line Shapefiles are extracts of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database. The shapefiles include information for the fifty states, the District of Columbia, Puerto Rico, and the Island areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the United States Virgin Islands). They do not contain any sensitive data, areas used for administering censuses and surveys, or attributes used only in internal processing. The TIGER/Line Shapefiles are designed for use with geographic information system (GIS) software. Data was provided by the US Census Bureau 2020 TIGER Web Interface Download. Last Updated: December 2022Update Frequency: N/A

  19. D

    Adjusted Census Urban Boundary, 2010

    • detroitdata.org
    • maps-semcog.opendata.arcgis.com
    Updated Feb 15, 2024
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    Southeast Michigan Council of Governments (SEMCOG) (2024). Adjusted Census Urban Boundary, 2010 [Dataset]. https://detroitdata.org/dataset/adjusted-census-urban-boundary-2010
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    zip, kml, geojson, csv, html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Feb 15, 2024
    Dataset provided by
    Southeast Michigan Council of Governments (SEMCOG)
    Description

    By using this data, you agree to the SEMCOG Copyright License Agreement.

    2010 Adjusted Census Urban Area/Boundary (ACUA/ACUB): 2010 Adjusted Census Urban Area polygons extracted from version 17 of the Michigan Geographic Framework. Areas include Ann Arbor, MI; Chelsea, MI; Detroit, MI (part); Flint, MI (part); Goodrich, MI (part); Holly, MI; Milan, MI; Monroe, MI; Port Huron, MI (part); Richmond, MI; South Lyon--Howell, MI; and Toledo, OH--MI (part). The ACUB is the official urban/rural dividing line for transportation purposes.

  20. g

    WFS XPlanung BPL “Change Location Map Northern Urban Area”

    • gimi9.com
    + more versions
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    WFS XPlanung BPL “Change Location Map Northern Urban Area” [Dataset]. https://gimi9.com/dataset/eu_1d5b32b6-5113-4a42-ac6a-5c2228aad132
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    WFS service of the development plan “Change site map northern urban area” of the city of Aalen from XPlanung 5.0. Description: Change map of the northern urban area.

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Esri (2014). USA Urban Areas [Dataset]. https://hub.arcgis.com/maps/432bb9246fdd467c88136e6ffeac2762
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USA Urban Areas

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118 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 22, 2014
Dataset authored and provided by
Esrihttp://esri.com/
Area covered
Description

Important Note: This item is in mature support as of June 2023 and will retire in December 2025. A new version of this item is available for your use.The layers going from 1:1 to 1:1.5M present the 2010 Census Urbanized Areas (UA) and Urban Clusters (UC). A UA consists of contiguous, densely settled census block groups (BGs) and census blocks that meet minimum population density requirements (1000 people per square mile (ppsm) / 500 ppsm), along with adjacent densely settled census blocks that together encompass a population of at least 50,000 people. A UC consists of contiguous, densely settled census BGs and census blocks that meet minimum population density requirements, along with adjacent densely settled census blocks that together encompass a population of at least 2,500 people, but fewer than 50,000 people. The dataset covers the 50 States plus the District of Columbia within United States. The layer going over 1:1.5M presents the urban areas in the United States derived from the urban areas layer of the Digital Chart of the World (DCW). It provides information about the locations, names, and populations of urbanized areas for conducting geographic analysis on national and large regional scales. To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to USA Census Urban Areas.

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