71 datasets found
  1. o

    Geonames - All Cities with a population > 1000

    • public.opendatasoft.com
    • data.smartidf.services
    • +1more
    csv, excel, geojson +1
    Updated Mar 10, 2024
    + more versions
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    (2024). Geonames - All Cities with a population > 1000 [Dataset]. https://public.opendatasoft.com/explore/dataset/geonames-all-cities-with-a-population-1000/
    Explore at:
    csv, json, geojson, excelAvailable download formats
    Dataset updated
    Mar 10, 2024
    License

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

    Description

    All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name

  2. K

    US Places (Population 250K - 500K)

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Feb 1, 2001
    + more versions
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    US Bureau of Transportation Statistics (BTS) (2001). US Places (Population 250K - 500K) [Dataset]. https://koordinates.com/layer/22833-us-places-population-250k-500k/
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    shapefile, geopackage / sqlite, kml, pdf, csv, mapinfo tab, dwg, geodatabase, mapinfo mifAvailable download formats
    Dataset updated
    Feb 1, 2001
    Dataset authored and provided by
    US Bureau of Transportation Statistics (BTS)
    Area covered
    Description

    This data set includes cities in the United States, Puerto Rico and the U.S. Virgin Islands. These cities were collected from the 1970 National Atlas of the United States. Where applicable, U.S. Census Bureau codes for named populated places were associated with each name to allow additional information to be attached. The Geographic Names Information System (GNIS) was also used as a source for additional information. This is a revised version of the December, 2003, data set.

    This layer is sourced from maps.bts.dot.gov.

  3. K

    US Places (Population 500K - 1 Million)

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Feb 1, 2001
    + more versions
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    US Bureau of Transportation Statistics (BTS) (2001). US Places (Population 500K - 1 Million) [Dataset]. https://koordinates.com/layer/22834-us-places-population-500k-1-million/
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    csv, mapinfo mif, shapefile, geodatabase, dwg, mapinfo tab, geopackage / sqlite, pdf, kmlAvailable download formats
    Dataset updated
    Feb 1, 2001
    Dataset authored and provided by
    US Bureau of Transportation Statistics (BTS)
    Area covered
    Description

    This data set includes cities in the United States, Puerto Rico and the U.S. Virgin Islands. These cities were collected from the 1970 National Atlas of the United States. Where applicable, U.S. Census Bureau codes for named populated places were associated with each name to allow additional information to be attached. The Geographic Names Information System (GNIS) was also used as a source for additional information. This is a revised version of the December, 2003, data set.

    This layer is sourced from maps.bts.dot.gov.

  4. 2023 Cartographic Boundary File (SHP), Place for United States, 1:500,000

    • catalog.data.gov
    Updated May 16, 2024
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2024). 2023 Cartographic Boundary File (SHP), Place for United States, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2023-cartographic-boundary-file-shp-place-for-united-states-1-500000
    Explore at:
    Dataset updated
    May 16, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The 2023 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 cartographic boundary files include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The generalized boundaries of most incorporated places in this file are based on those as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CDPs are based on those delineated or updated as part of the the 2023 BAS or the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  5. w

    Washington Cities by Population

    • washington-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). Washington Cities by Population [Dataset]. https://www.washington-demographics.com/cities_by_population
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    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.washington-demographics.com/terms_and_conditionshttps://www.washington-demographics.com/terms_and_conditions

    Area covered
    Tacoma, Washington
    Description

    A dataset listing Washington cities by population for 2024.

  6. g

    Georgia Cities by Population

    • georgia-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). Georgia Cities by Population [Dataset]. https://www.georgia-demographics.com/cities_by_population
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    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.georgia-demographics.com/terms_and_conditionshttps://www.georgia-demographics.com/terms_and_conditions

    Area covered
    Georgia
    Description

    A dataset listing Georgia cities by population for 2024.

  7. u

    Utah Cities by Population

    • utah-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). Utah Cities by Population [Dataset]. https://www.utah-demographics.com/cities_by_population
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    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.utah-demographics.com/terms_and_conditionshttps://www.utah-demographics.com/terms_and_conditions

    Description

    A dataset listing Utah cities by population for 2024.

  8. Data from: Urban-rural continuum

    • figshare.com
    tiff
    Updated May 30, 2023
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    Andrea Cattaneo; Andy Nelson; Theresa McMenomy (2023). Urban-rural continuum [Dataset]. http://doi.org/10.6084/m9.figshare.12579572.v4
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    tiffAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Andrea Cattaneo; Andy Nelson; Theresa McMenomy
    License

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

    Description

    The urban–rural continuum classifies the global population, allocating rural populations around differently-sized cities. The classification is based on four dimensions: population distribution, population density, urban center location, and travel time to urban centers, all of which can be mapped globally and consistently and then aggregated as administrative unit statistics.Using spatial data, we matched all rural locations to their urban center of reference based on the time needed to reach these urban centers. A hierarchy of urban centers by population size (largest to smallest) is used to determine which center is the point of “reference” for a given rural location: proximity to a larger center “dominates” over a smaller one in the same travel time category. This was done for 7 urban categories and then aggregated, for presentation purposes, into “large cities” (over 1 million people), “intermediate cities” (250,000 –1 million), and “small cities and towns” (20,000–250,000).Finally, to reflect the diversity of population density across the urban–rural continuum, we distinguished between high-density rural areas with over 1,500 inhabitants per km2 and lower density areas. Unlike traditional functional area approaches, our approach does not define urban catchment areas by using thresholds, such as proportion of people commuting; instead, these emerge endogenously from our urban hierarchy and by calculating the shortest travel time.Urban-Rural Catchment Areas (URCA).tif is a raster dataset of the 30 urban–rural continuum categories for the urban–rural continuum showing the catchment areas around cities and towns of different sizes. Each rural pixel is assigned to one defined travel time category: less than one hour, one to two hours, and two to three hours travel time to one of seven urban agglomeration sizes. The agglomerations range from large cities with i) populations greater than 5 million and ii) between 1 to 5 million; intermediate cities with iii) 500,000 to 1 million and iv) 250,000 to 500,000 inhabitants; small cities with populations v) between 100,000 and 250,000 and vi) between 50,000 and 100,000; and vii) towns of between 20,000 and 50,000 people. The remaining pixels that are more than 3 hours away from any urban agglomeration of at least 20,000 people are considered as either hinterland or dispersed towns being that they are not gravitating around any urban agglomeration. The raster also allows for visualizing a simplified continuum created by grouping the seven urban agglomerations into 4 categories.Urban-Rural Catchment Areas (URCA).tif is in GeoTIFF format, band interleaved with LZW compression, suitable for use in Geographic Information Systems and statistical packages. The data type is byte, with pixel values ranging from 1 to 30. The no data value is 128. It has a spatial resolution of 30 arc seconds, which is approximately 1km at the equator. The spatial reference system (projection) is EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long). The geographic extent is 83.6N - 60S / 180E - 180W. The same tif file is also available as an ESRI ArcMap MapPackage Urban-Rural Catchment Areas.mpkFurther details are in the ReadMe_data_description.docx

  9. 2023 Cartographic Boundary File (SHP), Place for Tennessee, 1:500,000

    • catalog.data.gov
    • datasets.ai
    Updated May 16, 2024
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2024). 2023 Cartographic Boundary File (SHP), Place for Tennessee, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2023-cartographic-boundary-file-shp-place-for-tennessee-1-500000
    Explore at:
    Dataset updated
    May 16, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Tennessee
    Description

    The 2023 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 cartographic boundary files include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The generalized boundaries of most incorporated places in this file are based on those as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CDPs are based on those delineated or updated as part of the the 2023 BAS or the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  10. o

    Oregon Cities by Population

    • oregon-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). Oregon Cities by Population [Dataset]. https://www.oregon-demographics.com/cities_by_population
    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.oregon-demographics.com/terms_and_conditionshttps://www.oregon-demographics.com/terms_and_conditions

    Area covered
    Oregon
    Description

    A dataset listing Oregon cities by population for 2024.

  11. i

    Iowa Cities by Population

    • iowa-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). Iowa Cities by Population [Dataset]. https://www.iowa-demographics.com/cities_by_population
    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.iowa-demographics.com/terms_and_conditionshttps://www.iowa-demographics.com/terms_and_conditions

    Area covered
    Iowa City
    Description

    A dataset listing Iowa cities by population for 2024.

  12. c

    Colorado Cities by Population

    • colorado-demographics.com
    • myaistarter.com.tubetargeterapp.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). Colorado Cities by Population [Dataset]. https://www.colorado-demographics.com/cities_by_population
    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.colorado-demographics.com/terms_and_conditionshttps://www.colorado-demographics.com/terms_and_conditions

    Area covered
    Colorado
    Description

    A dataset listing Colorado cities by population for 2024.

  13. w

    Global City Population Estimates

    • data.wu.ac.at
    • cloud.csiss.gmu.edu
    xls, xlsx
    Updated Sep 26, 2015
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    London Datastore Archive (2015). Global City Population Estimates [Dataset]. https://data.wu.ac.at/schema/datahub_io/MDI3MzE3NDMtMjcyNy00YjY5LTlhNDMtNWQ2OWFkMmI4YTBh
    Explore at:
    xlsx(19613.0), xls(1039360.0)Available download formats
    Dataset updated
    Sep 26, 2015
    Dataset provided by
    London Datastore Archive
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    Population of Urban Agglomerations with 300,000 Inhabitants or more in 2014, by city, 1950-2030 (thousands). Data for 1,692 cities contained in the Excel file.

    Note: Each country has its own definition of what is 'urban' and therefore use exercise caution when comparing cities in different countries.

    Data available from the United Nations, Department of Economic and Social Affairs, Population Division (2014). World Urbanization Prospects: The 2014 Revision, CD-ROM Edition.

    Further detail of population estimates, land area, and population density for world urban areas with over 500,000 people (924 areas) is available with Demographia's World Urban Areas report (2014). Much of this data is based on the UN urban agglomerations, though a range of other sources are also used.

  14. 2020 Cartographic Boundary File (KML), Current Place for Florida, 1:500,000

    • catalog.data.gov
    • datasets.ai
    Updated Dec 14, 2023
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2020 Cartographic Boundary File (KML), Current Place for Florida, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2020-cartographic-boundary-file-kml-current-place-for-florida-1-500000
    Explore at:
    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Florida
    Description

    The 2020 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 cartographic boundary files include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The generalized boundaries of most incorporated places in this file are based on those as of January 1, 2020, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CDPs based on those delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  15. n

    New York Cities by Population

    • newyork-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). New York Cities by Population [Dataset]. https://www.newyork-demographics.com/cities_by_population
    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.newyork-demographics.com/terms_and_conditionshttps://www.newyork-demographics.com/terms_and_conditions

    Area covered
    New York
    Description

    A dataset listing New York cities by population for 2024.

  16. USA Census Populated Place Areas

    • atlas.eia.gov
    • prep-response-portal.napsgfoundation.org
    • +7more
    Updated May 5, 2022
    + more versions
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    Esri (2022). USA Census Populated Place Areas [Dataset]. https://atlas.eia.gov/datasets/d8e6e822e6b44d80b4d3b5fe7538576d
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    Dataset updated
    May 5, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    U.S. Census Populated Place Areas represents the 2020 U.S. Census populated place areas of the United States that include incorporated places, cities, and census designated places identified by the U.S. Census Bureau.This layer is updated annually. The geography is sourced from U.S. Census Bureau 2020 TIGER FGDB (National Sub-State) and edited using TIGER Hydrography to add a detailed coastline for cartographic purposes. Attribute fields include 2020 total population from the U.S. Census Public Law 94 data. The Population Class field values represent population ranges as follows:Population from 0 - 249Population from 250 - 499Population from 500 - 999Population from 1,000 - 2,499Population from 2,500 - 9,999Population from 10,000 - 49,999Population from 50,000 - 99,999Population from 100,000 - 249,999Population from 250,000 - 499,999Population 500,000 and overThis ready-to-use layer can be used in ArcGIS Pro and in ArcGIS Online and its configurable apps, dashboards, StoryMaps, custom apps, and mobile apps. The data can also be exported for offline workflows. Cite the 'U.S. Census Bureau' when using this data.

  17. w

    Wisconsin Cities by Population

    • wisconsin-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). Wisconsin Cities by Population [Dataset]. https://www.wisconsin-demographics.com/cities_by_population
    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.wisconsin-demographics.com/terms_and_conditionshttps://www.wisconsin-demographics.com/terms_and_conditions

    Area covered
    Wisconsin
    Description

    A dataset listing Wisconsin cities by population for 2024.

  18. l

    Louisiana Cities by Population

    • louisiana-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). Louisiana Cities by Population [Dataset]. https://www.louisiana-demographics.com/cities_by_population
    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.louisiana-demographics.com/terms_and_conditionshttps://www.louisiana-demographics.com/terms_and_conditions

    Area covered
    Shreveport, Louisiana
    Description

    A dataset listing Louisiana cities by population for 2024.

  19. m

    Mississippi Cities by Population

    • mississippi-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). Mississippi Cities by Population [Dataset]. https://www.mississippi-demographics.com/cities_by_population
    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.mississippi-demographics.com/terms_and_conditionshttps://www.mississippi-demographics.com/terms_and_conditions

    Area covered
    Mississippi
    Description

    A dataset listing Mississippi cities by population for 2024.

  20. d

    2015 Cartographic Boundary File, Urban Area-State-County for Iowa, 1:500,000...

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

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(2024). Geonames - All Cities with a population > 1000 [Dataset]. https://public.opendatasoft.com/explore/dataset/geonames-all-cities-with-a-population-1000/

Geonames - All Cities with a population > 1000

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15 scholarly articles cite this dataset (View in Google Scholar)
csv, json, geojson, excelAvailable download formats
Dataset updated
Mar 10, 2024
License

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

Description

All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name

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