11 datasets found
  1. d

    Populated Areas in the Western United States

    • dataone.org
    Updated Oct 29, 2016
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    Steve Hanser, USGS-FRESC, Snake River Field Station (2016). Populated Areas in the Western United States [Dataset]. https://dataone.org/datasets/993d7e6d-110d-4f38-89f1-01d9750c8a30
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Steve Hanser, USGS-FRESC, Snake River Field Station
    Area covered
    Variables measured
    COUNT, Count, Rowid, VALUE, Value
    Description

    This is a map of populated areas with population density greater than or equal to 1 individual/ ha (i.e., rural/exurban but including suburban and urban as defined by Marzluff et al. 2001) as determined from U.S. Census data corrected for public lands.

  2. Fayl:Population density map in Wales from the 2011 census.png

    • wikimedia.az-az.nina.az
    Updated May 15, 2025
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    www.wikimedia.az-az.nina.az (2025). Fayl:Population density map in Wales from the 2011 census.png [Dataset]. https://www.wikimedia.az-az.nina.az/Fayl:Population_density_map_in_Wales_from_the_2011_census.png.html
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    Dataset updated
    May 15, 2025
    Dataset provided by
    Vikimedia Fonduhttp://www.wikimedia.org/
    License

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

    Area covered
    Uels
    Description

    Fayl Faylın tarixçəsi Faylın istifadəsi Faylın qlobal istifadəsi MetaməlumatlarSınaq göstərişi ölçüsü 541 600 piksel Dig

  3. d

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

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

  4. Ground Ambulance Scene Localities in Arizona

    • azgeo-open-data-agic.hub.arcgis.com
    • hub.arcgis.com
    Updated May 11, 2022
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    Arizona Department of Health Services (2022). Ground Ambulance Scene Localities in Arizona [Dataset]. https://azgeo-open-data-agic.hub.arcgis.com/datasets/ADHSGIS::ground-ambulance-scene-localities-in-arizona
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    Dataset updated
    May 11, 2022
    Dataset authored and provided by
    Arizona Department of Health Services
    Area covered
    Description

    A Certificate of Necessity (“CON”) is required to operate a ground ambulance and transport patients in Arizona. The Arizona Department of Health Services (“ADHS”) regulates the operating and response times of ambulance services to meet the needs of the public and ensure adequate service, pursuant to Arizona Revised Statute (“A.R.S.”) § 36-2232. Under A.R.S. § 36-2232(A)(3), response times shall follow uniform standard definitions for urban, suburban, rural, and wilderness geographic areas within a CON. Under Arizona Administrative Code (“A.A.C.”) R9-25-901, “Scene locality” is defined as an urban, suburban, rural, or wilderness area. Scene locality is sometimes also referred to as “urbanicity”. The current scene locality / urbanicity maps were developed based on the 2020 Census urban areas and block groups, to geographically represent areas within a CON defined under A.A.C. R9-25-901 as the following:“Urban area” means a geographic region delineated as an urbanized area by the United States Department of Commerce, Bureau of the Census. “Suburban area” means a geographic region within a 10-mile radius of an urban area that has a population density equal to or greater than 1,000 residents per square mile.“Rural area” means a geographic region with a population of less than 40,000 residents that is not a suburban area. “Wilderness area” means a geographic region that has a population density of less than one resident per square mile.Additional Information:The 2010 definition for urbanized areas is applied, as the 2020 Census doesn't delineate urban into two categories.Updates occur as needed based on the most recent decennial census, adhering to Administrative Statute and Code.Regulatory authority and definitions for scene localities can be found in the Statute and Rule Book, under A.R.S. § 36-2232 and A.A.C. R9-25-901.For more information about the Certificates of Necessity program, please visit the ADHS Ground Ambulance Program website or call (602) 364-3150.Last Updated: Update Frequency: As Needed; requires Administrative Code change

  5. a

    LD0011

    • hub.arcgis.com
    • redistricting-irc-az.hub.arcgis.com
    Updated Sep 28, 2021
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    Arizona Independent Redistricting Commission (2021). LD0011 [Dataset]. https://hub.arcgis.com/maps/irc-az::ld0011/about
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    Dataset updated
    Sep 28, 2021
    Dataset authored and provided by
    Arizona Independent Redistricting Commission
    Area covered
    Description

    Plan submitted by: brianbickel on 09/27/2021 USER DESCRIPTION: N/A USER PLAN OBJECTIVE: This map addresses issues in Southern Arizona as well the rural areas. An effort was made to maintain the status quo adjusting for population growth. The districts in Maricopa County were drawn for equal population distribution and may or may not be relevant.

  6. 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 Arizona, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2019-cartographic-boundary-kml-2010-urban-areas-ua-within-2010-county-and-equivalent-for-arizon
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    Dataset updated
    Jan 15, 2021
    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.

  7. Fayl:South Africa 2011 population density map.svg

    • wikimedia.az-az.nina.az
    Updated May 15, 2025
    + more versions
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    www.wikimedia.az-az.nina.az (2025). Fayl:South Africa 2011 population density map.svg [Dataset]. https://www.wikimedia.az-az.nina.az/Fayl:South_Africa_2011_population_density_map.svg.html
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    Dataset updated
    May 15, 2025
    Dataset provided by
    Vikimedia Fonduhttp://www.wikimedia.org/
    License

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

    Area covered
    Cənub Afrika
    Description

    Fayl Faylın tarixçəsi Faylın istifadəsi Faylın qlobal istifadəsi MetaməlumatlarBu SVG faylın PNG formatındakı bu görünüş

  8. 2016 Cartographic Boundary File, 2010 Urban Areas (UA) within 2010 County...

    • data.wu.ac.at
    html, zip
    Updated Jun 5, 2017
    + more versions
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    US Census Bureau, Department of Commerce (2017). 2016 Cartographic Boundary File, 2010 Urban Areas (UA) within 2010 County and Equivalent for Arizona, 1:500,000 [Dataset]. https://data.wu.ac.at/schema/data_gov/MWViYzQ2NmYtMjdlMS00OWYzLThhM2MtYmVjOTRlNDZmMjVi
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    zip, htmlAvailable download formats
    Dataset updated
    Jun 5, 2017
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    United States Census Bureauhttp://census.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    3549b1a68e9a8e4ca91d055b8ad9a59f56828737
    Description

    The 2016 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. a

    LD0059

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • redistricting-irc-az.hub.arcgis.com
    Updated Nov 16, 2021
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    Arizona Independent Redistricting Commission (2021). LD0059 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/be213701705549c29f4eacca6500a94e
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    Dataset updated
    Nov 16, 2021
    Dataset authored and provided by
    Arizona Independent Redistricting Commission
    Area covered
    Description

    Plan submitted by: AZ71@22 on 11/13/2021 USER DESCRIPTION: This LD map focuses on compromise in Southern AZ. It creates regional communities of interest in contiguous districts based on feedback from the public meetings. USER PLAN OBJECTIVE: PLEASE LOOK AT THIS MAP. This LD map is about compromise in Southern AZ.

    MEHL: He gets his wish to keep Marana, Oro Valley, Saddlebrook I & II and Red Rock in Pinal County together in one D17 district.

    LERNER: She successfully separates Tanque Verde and Houghton Corridor from NW Tucson to add to the D18 district of Tucson.

    PUBLIC COMMENTS: The people of Santa Cruz County keep their county in one district and the communities of Green Valley, Quail Creek and Sahuarita are added entirely to D21 and remain consolidated along with Amado, Tubac & Tumacacori.

    ADDITIONAL BENEFIT: The growing region of D16 in the central AZ region of the I-8/I-10 split becomes very competitive in this map version with Maricopa, Casa Grande, Arizona City staying as one entity since those cities have their own growth objective separate from Tucson and Phx.

    Thank you. I really feel this map addresses everyone's issues fairly with near perfect population distribution, contiguous districts, supports communities of interest, and makes logical compromises the public is asking for.

  10. a

    2017 Shade Tree Planting Prioritization

    • azgeo-open-data-agic.hub.arcgis.com
    • agic-natural-resources-workgroup-agic.hub.arcgis.com
    Updated Jun 23, 2020
    + more versions
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    AZGeo Data Hub (2020). 2017 Shade Tree Planting Prioritization [Dataset]. https://azgeo-open-data-agic.hub.arcgis.com/maps/9bde82d8e5954177a2db75413ad9abd5
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    Dataset updated
    Jun 23, 2020
    Dataset authored and provided by
    AZGeo Data Hub
    Area covered
    Description

    This dataset summarizes the results of the 2017 Shade Tree Planting Prioritization (STPP) analysis of the Urban and Community Forestry Program (UCF) at the Arizona Department of Forestry and Fire Management (DFFM). The purpose of the analysis was to assess existing urban forests in Arizona’s communities and identify shade tree planting needs. Layers: The analysis results on a per 2010 Census Block Group level for over 91 communities in Arizona; a simple City level summary (mean) and ranking (ranked by population density class).See the 2017 STPP Report for details on the analysis and results (https://azgeo.maps.arcgis.com/home/item.html?id=ad5c64d11fd749f9849bfc4b36b10e32).DFFM GIS Hub: https://gis-dffm.hub.arcgis.com/ Official: https://dffm.az.gov/ Email: GIS@dffm.az.govDisclaimerThe Arizona Department of Forestry and Fire Management gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. This disclaimer applies both to the direct use of the data and any derivative products produced with the data.Any type of boundary, linear or point locations contained within this data or displayed within this product are approximate, and should not be used for authoritative or legal location purposes. Users should independently research, investigate, and verify all information to determine if the quality is appropriate for their intended purpose. If legally-defensible boundaries or locations are required, they should first be established by an appropriate state-registered professional.Per A.R.S. 37-178: A public agency that shares geospatial data of which it is the custodian is not liable for errors, inaccuracies or omissions and shall be held harmless from and against all damage, loss or liability arising from any use of geospatial data that is shared.The information contained in these data is dynamic and may change over time. It is the responsibility of the data user to use the data appropriately and consistent with the intent stated in the metadata.

  11. Department of Veterans Affairs Open Data Portal State Summary for Arizona

    • datalumos.org
    delimited
    Updated Apr 20, 2025
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    United States Department of Veterans Affairs (2025). Department of Veterans Affairs Open Data Portal State Summary for Arizona [Dataset]. http://doi.org/10.3886/E227202V1
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    delimitedAvailable download formats
    Dataset updated
    Apr 20, 2025
    Dataset authored and provided by
    United States Department of Veterans Affairshttp://va.gov/
    License

    https://creativecommons.org/share-your-work/public-domain/pdmhttps://creativecommons.org/share-your-work/public-domain/pdm

    Area covered
    Arizona
    Description

    Map and tables with data describing Arizona's veteran population. Data tables cover: Veterans Affairs (VA) facilities and expenditures; veteran population including age distribution, period of service, household income, and educational attainment; veterans' use of VA healthcare and benefits; and projected veteran population changes as well as projections by age, gender, period of service, race/ethnicity, and age distribution over time.

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Steve Hanser, USGS-FRESC, Snake River Field Station (2016). Populated Areas in the Western United States [Dataset]. https://dataone.org/datasets/993d7e6d-110d-4f38-89f1-01d9750c8a30

Populated Areas in the Western United States

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8 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 29, 2016
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Authors
Steve Hanser, USGS-FRESC, Snake River Field Station
Area covered
Variables measured
COUNT, Count, Rowid, VALUE, Value
Description

This is a map of populated areas with population density greater than or equal to 1 individual/ ha (i.e., rural/exurban but including suburban and urban as defined by Marzluff et al. 2001) as determined from U.S. Census data corrected for public lands.

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