100+ datasets found
  1. d

    Rural-Urban Commuting Area Codes

    • catalog.data.gov
    • datasets.ai
    • +5more
    Updated Apr 21, 2025
    + more versions
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    Economic Research Service, Department of Agriculture (2025). Rural-Urban Commuting Area Codes [Dataset]. https://catalog.data.gov/dataset/rural-urban-commuting-area-codes
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Economic Research Service, Department of Agriculture
    Description

    The rural-urban commuting area codes (RUCA) classify U.S. census tracts using measures of urbanization, population density, and daily commuting from the decennial census. The most recent RUCA codes are based on data from the 2000 decennial census. The classification contains two levels. Whole numbers (1-10) delineate metropolitan, micropolitan, small town, and rural commuting areas based on the size and direction of the primary (largest) commuting flows. These 10 codes are further subdivided to permit stricter or looser delimitation of commuting areas, based on secondary (second largest) commuting flows. The approach errs in the direction of more codes, providing flexibility in combining levels to meet varying definitional needs and preferences. The 1990 codes are similarly defined. However, the Census Bureau's methods of defining urban cores and clusters changed between the two censuses. And, census tracts changed in number and shapes. The 2000 rural-urban commuting codes are not directly comparable with the 1990 codes because of these differences. An update of the Rural-Urban Commuting Area Codes is planned for late 2013.

  2. Rural statistics local level data sets

    • gov.uk
    Updated Jul 21, 2016
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    Department for Environment, Food & Rural Affairs (2016). Rural statistics local level data sets [Dataset]. https://www.gov.uk/government/statistical-data-sets/rural-statistics-local-level-data-sets
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    Dataset updated
    Jul 21, 2016
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Environment, Food & Rural Affairs
    Description

    Local authority and Local Enterprise Partnership data sets for key economic data by rural and urban breakdown.

    Additional information:

    https://assets.publishing.service.gov.uk/media/5a7f09bfed915d74e62280b0/local-data-12-13_LU.xlsx">Local authority level data on population, claimant count, insolvencies, business numbers and house prices

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute">MS Excel Spreadsheet</span>, <span class="gem-c-attachment_attribute">211 KB</span></p>
    
    
    
    
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  3. Urban Rural 2025

    • datafinder.stats.govt.nz
    csv, dwg, geodatabase +6
    Updated Dec 2, 2024
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    Stats NZ (2024). Urban Rural 2025 [Dataset]. https://datafinder.stats.govt.nz/layer/120965-urban-rural-2025/
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    kml, mapinfo tab, geodatabase, shapefile, pdf, mapinfo mif, geopackage / sqlite, dwg, csvAvailable download formats
    Dataset updated
    Dec 2, 2024
    Dataset provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    Authors
    Stats NZ
    License

    https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/

    Area covered
    Description

    Refer to the 'Current Geographic Boundaries Table' layer for a list of all current geographies and recent updates.

    This dataset is the definitive version of the annually released urban rural (UR) boundaries as at 1 January 2025 as defined by Stats NZ. This version contains 689 UR areas, including 195 urban areas and 402 rural settlements.

    Urban rural (UR) is an output geography that classifies New Zealand into areas that share common urban or rural characteristics and is used to disseminate a broad range of Stats NZ’s social, demographic and economic statistics.

    The UR separately identifies urban areas, rural settlements, other rural areas, and water areas. Urban areas and rural settlements are form-based geographies delineated by the inspection of aerial imagery, local government land designations on district plan maps, address registers, property title data, and any other available information. However, because the underlying meshblock pattern is used to define the geographies, boundaries may not align exactly with local government land designations or what can be seen in aerial images. Other rural areas, and bodies of water represent areas not included within an urban area.

    Urban areas are built from the statistical area 2 (SA2) geography, while rural and water areas are built from the statistical area 1 (SA1) geography.

    Urban areas

    Urban areas are statistically defined areas with no administrative or legal basis. They are characterised by high population density with many built environment features where people and buildings are located close together for residential, cultural, productive, trade and social purposes.

    Urban areas are delineated using the following criteria. They:

    form a contiguous cluster of one or more SA2s,

    contain an estimated resident population of more than 1,000 people and usually have a population density of more than 400 residents or 200 address points per square kilometre,

    have a high coverage of built physical structures and artificial landscapes such as:

    • residential dwellings and apartments,
    • commercial structures, such as factories, office complexes, and shopping centres,
    • transport and communication facilities, such as airports, ports and port facilities, railway stations, bus stations and similar transport hubs, and communications infrastructure,
    • medical, education, and community facilities,
    • tourist attractions and accommodation facilities,
    • waste disposal and sewerage facilities,
    • cemeteries,
    • sports and recreation facilities, such as stadiums, golf courses, racecourses, showgrounds, and fitness centres,
    • green spaces, such as community parks, gardens, and reserves,

    have strong economic ties where people gather together to work, and for social, cultural, and recreational interaction,

    have planned development within the next 5–8 years.

    Urban boundaries are independent of local government and other administrative boundaries. However, the Richmond urban area, which is mainly in the Tasman District, is the only urban area that crosses territorial authority boundaries

    Rural areas

    Rural areas are classified as rural settlements or other rural.

    Rural settlements

    Rural settlements are statistically defined areas with no administrative or legal basis. A rural settlement is a cluster of residential dwellings about a place that usually contains at least one community or public building.

    Rural settlements are delineated using the following criteria. They:

    form a contiguous cluster of one or more SA1s,

    contain an estimated resident population of 200–1,000, or at least 40 residential dwellings,

    represent a reasonably compact area or have a visible centre of population with a population density of at least 200 residents per square kilometre or 100 address points per square kilometre,

    contain at least one community or public building, such as a church, school, or shop.

    To reach the target SA2 population size of more than 1,000 residents, rural settlements are usually included with other rural SA1s to form an SA2. In some instances, the settlement and the SA2 have the same name, for example, Kirwee rural settlement is part of the Kirwee SA2.

    Some rural settlements whose populations are just under 1,000 are a single SA2. Creating separate SA2s for these rural settlements allows for easy reclassification to urban areas if their populations grow beyond 1,000.

    Other rural

    Other rural areas are the mainland areas and islands located outside urban areas or rural settlements. Other rural areas include land used for agriculture and forestry, conservation areas, and regional and national parks. Other rural areas are defined by territorial authority.

    Water

    Bodies of water are classified separately, using the land/water demarcation classification described in the Statistical standard for meshblock. These water areas are not named and are defined by territorial authority or regional council.

    The water classes include:

    inland water – non-contiguous, defined by territorial authority,

    inlets (which also includes tidal areas and harbours) – non-contiguous, defined by territorial authority,

    oceanic – non-contiguous, defined by regional council.

    To minimise suppression of population data, separate meshblocks have been created for marinas. These meshblocks are attached to adjacent land in the UR geography.

    Non-digitised

    The following 4 non-digitised UR areas have been aggregated from the 16 non-digitised meshblocks/SA2s.

    6901; Oceanic outside region, 6902; Oceanic oil rigs, 6903; Islands outside region, 6904; Ross Dependency outside region.

    UR numbering and naming

    Each urban area and rural settlement is a single geographic entity with a name and a numeric code.

    Other rural areas, inland water areas, and inlets are defined by territorial authority; oceanic areas are defined by regional council; and each have a name and a numeric code.

    Urban rural codes have four digits. North Island locations start with a 1, South Island codes start with a 2, oceanic codes start with a 6 and non-digitised codes start with 69.

    Urban rural indicator (IUR)

    The accompanying urban rural indicator (IUR) classifies the urban, rural, and water areas by type. Urban areas are further classified by the size of their estimated resident population:

    • major urban area – 100,000 or more residents,
    • large urban area – 30,000–99,999 residents,
    • medium urban area – 10,000–29,999 residents,
    • small urban area – 1,000–9,999 residents.

    This was based on 2018 Census data and 2021 population estimates. Their IUR status (urban area size/rural settlement) may change if the 2025 Census population count moves them up or down a category.

    The indicators, by name, with their codes in brackets, are:

    urban area – major urban (11), large urban (12), medium urban (13), small urban (14),

    rural area – rural settlement (21), rural other (22),

    water – inland water (31), inlet (32), oceanic (33).

    High definition version

    This high definition (HD) version is the most detailed geometry, suitable for use in GIS for geometric analysis operations and for the computation of areas, centroids and other metrics. The HD version is aligned to the LINZ cadastre.

    Macrons

    Names are provided with and without tohutō/macrons. The column name for those without macrons is suffixed ‘ascii’.

    Digital data

    Digital boundary data became freely available on 1 July 2007.

    Further information

    To download geographic classifications in table formats such as CSV please use Ariā

    For more information please refer to the Statistical standard for geographic areas 2023.

    Contact: geography@stats.govt.nz

  4. Urban Rural 2023 (generalised)

    • datafinder.stats.govt.nz
    csv, dwg, geodatabase +6
    Updated Nov 30, 2022
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    Stats NZ (2022). Urban Rural 2023 (generalised) [Dataset]. https://datafinder.stats.govt.nz/layer/111198-urban-rural-2023-generalised/
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    mapinfo mif, geopackage / sqlite, dwg, mapinfo tab, shapefile, kml, geodatabase, csv, pdfAvailable download formats
    Dataset updated
    Nov 30, 2022
    Dataset provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    Authors
    Stats NZ
    License

    https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/

    Area covered
    Description

    Urban rural 2023 update

    UR 2023 is the first major update of the geography since it was first created in 2018. The update is to ensure UR geographies are relevant and meet criteria before each five-yearly population and dwelling census. UR 2023 contains 13 new rural settlements and 7 new small urban areas. Updates were made to reflect real world change including new subdivisions and motorways, and to improve delineation of urban areas and rural settlements. The Wānaka urban area, whose population has grown to be more than 10,000 based on population estimates, has been reclassified to a medium urban area in the 2023 urban rural indicator.

    In the 2023 classification there are:

    • 7 major urban areas
    • 13 large urban areas
    • 23 medium urban areas
    • 152 small urban areas
    • 402 rural settlements.

    This dataset is the definitive version of the annually released urban rural (UR) boundaries as at 1 January 2023 as defined by Stats NZ. This version contains 745 UR areas, including 195 urban areas and 402 rural settlements.

    Urban rural (UR) is an output geography that classifies New Zealand into areas that share common urban or rural characteristics and is used to disseminate a broad range of Stats NZ’s social, demographic and economic statistics.

    The UR separately identifies urban areas, rural settlements, other rural areas, and water areas. Urban areas and rural settlements are form-based geographies delineated by the inspection of aerial imagery, local government land designations on district plan maps, address registers, property title data, and any other available information. However, because the underlying meshblock pattern is used to define the geographies, boundaries may not align exactly with local government land designations or what can be seen in aerial images. Other rural areas, and bodies of water represent areas not included within an urban area.

    Urban areas are built from the statistical area 2 (SA2) geography, while rural and water areas are built from the statistical area 1 (SA1) geography.

    Non-digitised

    The following 4 non-digitised UR areas have been aggregated from the 16 non-digitised meshblocks/SA2s.

    6901; Oceanic outside region, 6902; Oceanic oil rigs, 6903; Islands outside region, 6904; Ross Dependency outside region.

    UR numbering and naming

    Each urban area and rural settlement is a single geographic entity with a name and a numeric code.

    Other rural areas, inland water areas, and inlets are defined by territorial authority; oceanic areas are defined by regional council; and each have a name and a numeric code.

    Urban rural codes have four digits. North Island locations start with a 1, South Island codes start with a 2, oceanic codes start with a 6 and non-digitised codes start with 69.

    Urban rural indicator (IUR)

    The accompanying urban rural indicator (IUR) classifies the urban, rural, and water areas by type. Urban areas are further classified by the size of their estimated resident population:

    • major urban area – 100,000 or more residents,
    • large urban area – 30,000–99,999 residents,
    • medium urban area – 10,000–29,999 residents,
    • small urban area – 1,000–9,999 residents.

    This was based on 2018 Census data and 2021 population estimates. Their IUR status (urban area size/rural settlement) may change if the 2023 Census population count moves them up or down a category.

    The indicators, by name, with their codes in brackets, are:

    urban area – major urban (11), large urban (12), medium urban (13), small urban (14),

    rural area – rural settlement (21), rural other (22),

    water – inland water (31), inlet (32), oceanic (33).

    The urban rural indicator complements the urban rural geography and is an attribute in this dataset. Further information on the urban rural indicator is available on the Stats NZ classification and coding tool ARIA.

    For more information please refer to the Statistical standard for geographic areas 2023.

    Generalised version

    This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

    Macrons

    Names are provided with and without tohutō/macrons. The column name for those without macrons is suffixed ‘ascii’.

    Digital data

    Digital boundary data became freely available on 1 July 2007.

    To download geographic classifications in table formats such as CSV please use Ariā

  5. Share of the world's population living in urban or rural areas 1960-2024

    • statista.com
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    Statista, Share of the world's population living in urban or rural areas 1960-2024 [Dataset]. https://www.statista.com/statistics/1262483/global-urban-rural-population/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    2007 marked the first year where more of the world's population lived in an urban setting than a rural setting. In 1960, roughly a third of the world lived in an urban setting; it is expected that this figure will reach two thirds by 2050. Urbanization is a fairly new phenomenon; for the vast majority of human history, fewer than five percent of the world lived in urban areas, due to the dependency on subsistence agriculture. Advancements in agricultural practices and technology then coincided with the beginning of the industrial revolution in Europe in the late 19th century, which resulted in waves of urbanization to meet the demands of emerging manufacturing industries. This trend was replicated across the rest of the world as it industrialized over the following two centuries, and the most significant increase coincided with the industrialization of the most populous countries in Asia. In more developed economies, urbanization remains high even as economies de-industrialize, due to a variety of factors such as housing availability, labor demands in service industries, and social trends.

  6. T

    United States - Rural Population

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 21, 2013
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    TRADING ECONOMICS (2013). United States - Rural Population [Dataset]. https://tradingeconomics.com/united-states/rural-population-percent-of-total-population-wb-data.html
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jul 21, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    Rural population (% of total population) in United States was reported at 16.48 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Rural population - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

  7. Rural Definitions

    • catalog.data.gov
    • gimi9.com
    • +2more
    Updated Apr 21, 2025
    + more versions
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    Economic Research Service, Department of Agriculture (2025). Rural Definitions [Dataset]. https://catalog.data.gov/dataset/rural-definitions
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Description

    Note: Updates to this data product are discontinued. Dozens of definitions are currently used by Federal and State agencies, researchers, and policymakers. The ERS Rural Definitions data product allows users to make comparisons among nine representative rural definitions. Methods of designating the urban periphery range from the use of municipal boundaries to definitions based on counties. Definitions based on municipal boundaries may classify as rural much of what would typically be considered suburban. Definitions that delineate the urban periphery based on counties may include extensive segments of a county that many would consider rural. We have selected a representative set of nine alternative rural definitions and compare social and economic indicators from the 2000 decennial census across the nine definitions. We chose socioeconomic indicators (population, education, poverty, etc.) that are commonly used to highlight differences between urban and rural areas.

  8. Urban and Rural Population in US Legislative Districts (2020 Census)

    • data-bgky.hub.arcgis.com
    Updated Jun 8, 2023
    + more versions
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    Esri (2023). Urban and Rural Population in US Legislative Districts (2020 Census) [Dataset]. https://data-bgky.hub.arcgis.com/maps/497d1bb78d98438386fd6721b6c2c3aa
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    Dataset updated
    Jun 8, 2023
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This map's colors indicate which population is larger in each area: urban (green) or rural (yellow). The map's layers contain total population counts by sex, age, and race groups for Nation, State Legislative Districts Upper, State Legislative Districts Lower, Congressional District in the United States and Puerto Rico.The U.S. Census designates each census block as part of an urban area or as rural. Larger geographies in this map such as block group, tract, county and state can therefore have a mix of urban and rural population. This map illustrates the 100% urban areas in dark green, and 100% rural areas in dark yellow. Areas with mixed urban/rural population have softer shades of green or yellow, to give a visual indication of where change may be happening. From the Census:"The Census Bureau’s urban-rural classification is a delineation of geographic areas, identifying both individual urban areas and the rural area of the nation. The Census Bureau’s urban areas represent densely developed territory, and encompass residential, commercial, and other non-residential urban land uses. The Census Bureau delineates urban areas after each decennial census by applying specified criteria to decennial census and other data. Rural encompasses all population, housing, and territory not included within an urban area.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 have a population of at least 5,000." SourceAbout the dataYou can use this map as is and you can also modify it to use other attributes included in its layers. This map's layers contain total population counts by sex, age, and race groups data from the 2020 Census Demographic and Housing Characteristics. This is shown by Nation, State, County, Census Tract, Block Group boundaries. Each geography layer contains a common set of Census counts based on available attributes from the U.S. Census Bureau. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.Vintage of boundaries and attributes: 2020 Demographic and Housing Characteristics Table(s): P1, H1, H3, P2, P3, P5, P12, P13, P17, PCT12 (Not all lines of these DHC tables are available in this feature layer.)Data downloaded from: U.S. Census Bureau’s data.census.gov siteDate the Data was Downloaded: May 25, 2023Geography Levels included: Nation, State, County, Census Tract, Block GroupNational Figures: included in Nation layer The United States Census Bureau Demographic and Housing Characteristics: 2020 Census Results 2020 Census Data Quality Geography & 2020 Census Technical Documentation Data Table Guide: includes the final list of tables, lowest level of geography by table and table shells for the Demographic Profile and Demographic and Housing Characteristics.News & Updates This map is ready to be used in ArcGIS Pro, ArcGIS Online and its configurable apps, Story Maps, dashboards, Notebooks, Python, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the U.S. Census Bureau when using this data. Data Processing Notes: These 2020 Census boundaries come from the US Census TIGER geodatabases. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For Census tracts and block groups, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract and block group boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are unchanged and available as attributes within the data table (units are square meters).  The layer contains all US states, Washington D.C., and Puerto Rico. Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Block groups that fall within the same criteria (Block Group denoted as 0 with no area land) have also been removed.Percentages and derived counts, are calculated values (that can be identified by the "_calc_" stub in the field name). Field alias names were created based on the Table Shells file available from the Data Table Guide for the Demographic Profile and Demographic and Housing Characteristics. Not all lines of all tables listed above are included in this layer. Duplicative counts were dropped. For example, P0030001 was dropped, as it is duplicative of P0010001.To protect the privacy and confidentiality of respondents, their data has been protected using differential privacy techniques by the U.S. Census Bureau.

  9. V

    Urban and Rural Census Designations (2010) by Locality

    • data.virginia.gov
    csv
    Updated Feb 3, 2024
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    Other (2024). Urban and Rural Census Designations (2010) by Locality [Dataset]. https://data.virginia.gov/dataset/urban-and-rural-census-designations-2010-by-locality
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    csvAvailable download formats
    Dataset updated
    Feb 3, 2024
    Dataset authored and provided by
    Other
    Description

    This table uses U.S. Census data to create a dataset that identifies all Virginia localities as either Mostly Urban, Mostly Rural or Completely Rural. Total population and breakdown between urban and rural populations are included.

    For information on the U.S. Census Bureau's use of these designations see https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural.html. (Source data for this dataset is found at this link and is titled "County Classification Lookup Table [XLS]".)

  10. T

    China - Rural Population

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
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    TRADING ECONOMICS (2017). China - Rural Population [Dataset]. https://tradingeconomics.com/china/rural-population-percent-of-total-population-wb-data.html
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    May 28, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    China
    Description

    Rural population (% of total population) in China was reported at 34.46 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Rural population - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  11. d

    Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Urban Extents Grid

    • catalog.data.gov
    • data.nasa.gov
    • +3more
    Updated Aug 22, 2025
    + more versions
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    SEDAC (2025). Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Urban Extents Grid [Dataset]. https://catalog.data.gov/dataset/global-rural-urban-mapping-project-version-1-grumpv1-urban-extents-grid-15d2a
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    Dataset updated
    Aug 22, 2025
    Dataset provided by
    SEDAC
    Description

    The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Urban Extents Grid distinguishes urban and rural areas based on a combination of population counts (persons), settlement points, and the presence of Nighttime Lights. Areas are defined as urban where contiguous lighted cells from the Nighttime Lights or approximated urban extents based on buffered settlement points for which the total population is greater than 5,000 persons. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the International Food Policy Research Institute (IFPRI), The World Bank, and Centro Internacional de Agricultura Tropical (CIAT).

  12. T

    Brazil - Rural Population

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 22, 2013
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    TRADING ECONOMICS (2013). Brazil - Rural Population [Dataset]. https://tradingeconomics.com/brazil/rural-population-percent-of-total-population-wb-data.html
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Jul 22, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Brazil
    Description

    Rural population (% of total population) in Brazil was reported at 11.98 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Rural population - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

  13. USDA Rural Housing Assets

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    Updated Mar 1, 2024
    + more versions
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    U.S. Department of Housing and Urban Development (2024). USDA Rural Housing Assets [Dataset]. https://catalog.data.gov/dataset/usda-rural-housing-assets
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    This dataset allows users to map United States Department of Agriculture's (USDA's) rural development multi family housing assets. The USDA, Rural Development (RD) Agency operates a broad range of programs that were formally administered by the Farmers Home Administration to support affordable housing and community development in rural areas. RD helps rural communities and individuals by providing loans and grants for housing and community facilities. RD provides funding for single family homes, apartments for low-income persons or the elderly, housing for farm laborers, childcare centers, fire and police stations, hospitals, libraries, nursing homes and schools.

  14. T

    Costa Rica - Rural Population

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 4, 2013
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    TRADING ECONOMICS (2013). Costa Rica - Rural Population [Dataset]. https://tradingeconomics.com/costa-rica/rural-population-percent-of-total-population-wb-data.html
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Sep 4, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Costa Rica
    Description

    Rural population (% of total population) in Costa Rica was reported at 16.83 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Costa Rica - Rural population - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

  15. Urban Rural 2021 Clipped (generalised)

    • datafinder.stats.govt.nz
    csv, dwg, geodatabase +6
    Updated Dec 6, 2020
    + more versions
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    Stats NZ (2020). Urban Rural 2021 Clipped (generalised) [Dataset]. https://datafinder.stats.govt.nz/layer/105159-urban-rural-2021-clipped-generalised/
    Explore at:
    geodatabase, mapinfo mif, dwg, shapefile, geopackage / sqlite, pdf, csv, mapinfo tab, kmlAvailable download formats
    Dataset updated
    Dec 6, 2020
    Dataset provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    Authors
    Stats NZ
    License

    https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/

    Area covered
    Description

    This dataset contains the annually released urban rural boundaries for 2021, as defined by Stats NZ, clipped to the coastline. This clipped version has been created for map creation/cartographic purposes and so does not fully represent the official full extent boundaries. This version contains 668 urban rural categories.

    The urban rural geography was introduced as part of the Statistical Standard for Geographic Areas 2018 (SSGA18) which replaced the New Zealand Standard Areas Classification (NZSAC92). The urban rural geography replaces the (NZSAC92) urban area geography. Urban rural is an output geography that classifies New Zealand into areas that share common urban or rural characteristics and is used to disseminate a broad range of Stats NZ’s social, demographic and economic statistics.

    The urban rural indicator complements the urban rural geography and is an attribute in this dataset. Further information on the urban rural indicator is available on the Stats NZ classification and coding tool ARIA.

    Names are provided with and without tohutō/macrons. The name field without macrons is suffixed ‘ascii’.

    This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

    Digital boundary data became freely available on 1 July 2007.

  16. Share of population worldwide living in rural areas 1990-2023

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Share of population worldwide living in rural areas 1990-2023 [Dataset]. https://www.statista.com/statistics/1328171/rural-population-worldwide/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    Over the past three decades, the share of the global population living in rural areas has decreased continuously. Since 2007, less than **** of the world's population lived in rural areas, a share that had dropped to ***** percent as of 2023. The urbanization is expected to continue over the coming decades.

  17. Urban Rural 2023 Clipped (generalised)

    • datafinder.stats.govt.nz
    csv, dwg, geodatabase +6
    Updated Nov 30, 2022
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    Stats NZ (2022). Urban Rural 2023 Clipped (generalised) [Dataset]. https://datafinder.stats.govt.nz/layer/111196-urban-rural-2023-clipped-generalised/
    Explore at:
    kml, geopackage / sqlite, csv, geodatabase, pdf, dwg, shapefile, mapinfo mif, mapinfo tabAvailable download formats
    Dataset updated
    Nov 30, 2022
    Dataset provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    Authors
    Stats NZ
    License

    https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/

    Area covered
    Description

    Urban rural 2023 update

    UR 2023 is the first major update of the geography since it was first created in 2018. The update is to ensure UR geographies are relevant and meet criteria before each five-yearly population and dwelling census. UR 2023 contains 13 new rural settlements and 7 new small urban areas. Updates were made to reflect real world change including new subdivisions and motorways, and to improve delineation of urban areas and rural settlements. The Wānaka urban area, whose population has grown to be more than 10,000 based on population estimates, has been reclassified to a medium urban area in the 2023 urban rural indicator.

    In the 2023 classification there are:

    • 7 major urban areas
    • 13 large urban areas
    • 23 medium urban areas
    • 152 small urban areas
    • 402 rural settlements.

    This dataset is the definitive version of the annually released urban rural (UR) boundaries as at 1 January 2023 as defined by Stats NZ (the custodian), clipped to the coastline. This clipped version has been created for cartographic purposes and so does not fully represent the official full extent boundaries. This version contains 689 UR areas, including 195 urban areas and 402 rural settlements.

    Urban rural (UR) is an output geography that classifies New Zealand into areas that share common urban or rural characteristics and is used to disseminate a broad range of Stats NZ’s social, demographic and economic statistics.

    The UR separately identifies urban areas, rural settlements, other rural areas, and water areas. Urban areas and rural settlements are form-based geographies delineated by the inspection of aerial imagery, local government land designations on district plan maps, address registers, property title data, and any other available information. However, because the underlying meshblock pattern is used to define the geographies, boundaries may not align exactly with local government land designations or what can be seen in aerial images. Other rural areas, and bodies of water represent areas not included within an urban area.

    Urban areas are built from the statistical area 2 (SA2) geography, while rural and water areas are built from the statistical area 1 (SA1) geography.

    Non-digitised

    The following 4 non-digitised UR areas have been aggregated from the 16 non-digitised meshblocks/SA2s.

    6901; Oceanic outside region, 6902; Oceanic oil rigs, 6903; Islands outside region, 6904; Ross Dependency outside region.

    UR numbering and naming

    Each urban area and rural settlement is a single geographic entity with a name and a numeric code.

    Other rural areas, inland water areas, and inlets are defined by territorial authority; oceanic areas are defined by regional council; and each have a name and a numeric code.

    Urban rural codes have four digits. North Island locations start with a 1, South Island codes start with a 2, oceanic codes start with a 6 and non-digitised codes start with 69.

    Urban rural indicator (IUR)

    The accompanying urban rural indicator (IUR) classifies the urban, rural, and water areas by type. Urban areas are further classified by the size of their estimated resident population:

    • major urban area – 100,000 or more residents,
    • large urban area – 30,000–99,999 residents,
    • medium urban area – 10,000–29,999 residents,
    • small urban area – 1,000–9,999 residents.

    This was based on 2018 Census data and 2021 population estimates. Their IUR status (urban area size/rural settlement) may change if the 2023 Census population count moves them up or down a category.

    The indicators, by name, with their codes in brackets, are:

    urban area – major urban (11), large urban (12), medium urban (13), small urban (14),

    rural area – rural settlement (21), rural other (22),

    water – inland water (31), inlet (32), oceanic (33).

    The urban rural indicator complements the urban rural geography and is an attribute in this dataset. Further information on the urban rural indicator is available on the Stats NZ classification and coding tool ARIA.

    For more information please refer to the Statistical standard for geographic areas 2023.

    Clipped version

    This clipped version has been created for cartographic purposes and so does not fully represent the official full extent boundaries.

    Macrons

    Names are provided with and without tohutō/macrons. The column name for those without macrons is suffixed ‘ascii’.

    Digital data

    Digital boundary data became freely available on 1 July 2007.

    To download geographic classifications in table formats such as CSV please use Ariā

  18. T

    World - Rural Population

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 20, 2013
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    TRADING ECONOMICS (2013). World - Rural Population [Dataset]. https://tradingeconomics.com/world/rural-population-wb-data.html
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Jul 20, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    World, World
    Description

    Rural population in World was reported at 3443380761 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Rural population - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  19. Rural services statistical series

    • gov.uk
    Updated Jul 21, 2016
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    Department for Environment, Food & Rural Affairs (2016). Rural services statistical series [Dataset]. https://www.gov.uk/government/statistical-data-sets/rural-services-series
    Explore at:
    Dataset updated
    Jul 21, 2016
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Environment, Food & Rural Affairs
    Description

    The Rural Services Series monitors trends in access to services. This analysis uses the road network to provide the distances from each Output Area to each service. These figures give a measure of the availability of a service based on distance to that service. It does not factor in transportation options or cost elements which may affect usage of particular services.

    https://assets.publishing.service.gov.uk/media/5a806d12e5274a2e8ab5013c/accessibility_OA_2012_FINAL_ODS.ods">Percentage of people in rural and urban areas that live within a certain distance from a range of services

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">56 KB</span></p>
    
    
    
      <p class="gem-c-attachment_metadata">
       This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
    

    https://assets.publishing.service.gov.uk/media/5a75bf6d40f0b6488c78ea5c/OA_2012_ODS.ods">Minimum distance from each Output Area to each service (in metres)

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">12.7 MB</span></p>
    
    
    
      <p class="gem-c-attachment_metadata">
       This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
    

    Metadata

    Indicators:

    • percentage of people that live within a certain distance from a range of services

    • minimum distance from each Output Area to each service

    Data source: There are various data sources - see metadata statement in the excel spreadsheet for details for each service that has been analysed.

    Coverage: England

    Rural classification used: Office for National Statistics Rural Urban Classification 2001

    For further information please contact:
    rural.statistics@defra.gsi.gov.uk

    http://www.twitter.com/@defrastats" title="@DefraStats" class="govuk-link">Twitter@D

  20. T

    Thailand - Rural Population

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
    Share
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    TRADING ECONOMICS (2017). Thailand - Rural Population [Dataset]. https://tradingeconomics.com/thailand/rural-population-percent-of-total-population-wb-data.html
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Thailand
    Description

    Rural population (% of total population) in Thailand was reported at 45.68 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Thailand - Rural population - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Share
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Economic Research Service, Department of Agriculture (2025). Rural-Urban Commuting Area Codes [Dataset]. https://catalog.data.gov/dataset/rural-urban-commuting-area-codes

Rural-Urban Commuting Area Codes

Explore at:
20 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 21, 2025
Dataset provided by
Economic Research Service, Department of Agriculture
Description

The rural-urban commuting area codes (RUCA) classify U.S. census tracts using measures of urbanization, population density, and daily commuting from the decennial census. The most recent RUCA codes are based on data from the 2000 decennial census. The classification contains two levels. Whole numbers (1-10) delineate metropolitan, micropolitan, small town, and rural commuting areas based on the size and direction of the primary (largest) commuting flows. These 10 codes are further subdivided to permit stricter or looser delimitation of commuting areas, based on secondary (second largest) commuting flows. The approach errs in the direction of more codes, providing flexibility in combining levels to meet varying definitional needs and preferences. The 1990 codes are similarly defined. However, the Census Bureau's methods of defining urban cores and clusters changed between the two censuses. And, census tracts changed in number and shapes. The 2000 rural-urban commuting codes are not directly comparable with the 1990 codes because of these differences. An update of the Rural-Urban Commuting Area Codes is planned for late 2013.

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