49 datasets found
  1. d

    Census Tracts Identified for PA 23-205 by Town

    • catalog.data.gov
    • data.ct.gov
    Updated Sep 15, 2023
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    data.ct.gov (2023). Census Tracts Identified for PA 23-205 by Town [Dataset]. https://catalog.data.gov/dataset/census-tracts-identified-for-pa-23-205-by-town
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    Dataset updated
    Sep 15, 2023
    Dataset provided by
    data.ct.gov
    Description

    This dataset provide the number of high-poverty, low-opportunity census tracts by town. These tracts were identified for PA 23-205 Section 101 as follows: "High poverty, low opportunity areas" mean a census tract in the state where thirty percent or more of the residents have incomes below the federal poverty level, according to the 2021 five-year United States Census Bureau American Community Survey. The 2021 five-year American Community Survey estimates were used to identify the tracts.

  2. d

    Census 2000 and 2010 Population, Villages

    • catalog.data.gov
    • data.ny.gov
    • +2more
    Updated Sep 15, 2023
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    data.ny.gov (2023). Census 2000 and 2010 Population, Villages [Dataset]. https://catalog.data.gov/dataset/census-2000-and-2010-population-villages
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    Dataset updated
    Sep 15, 2023
    Dataset provided by
    data.ny.gov
    Description

    Total Populations of Villages - 2000 and 2010

  3. s

    Maharashtra, India: Village Socio-Demographic and Economic Census Data, 1991...

    • searchworks.stanford.edu
    zip
    Updated Jan 24, 2025
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    (2025). Maharashtra, India: Village Socio-Demographic and Economic Census Data, 1991 [Dataset]. https://searchworks.stanford.edu/view/wh486xx4329
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    zipAvailable download formats
    Dataset updated
    Jan 24, 2025
    Area covered
    Maharashtra, India
    Description

    This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for village level demographic analysis within basic applications to support graphical overlays and analysis with other spatial data.

  4. d

    Data from: Spatial Data from the 2011 India Census

    • catalog.data.gov
    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    • +3more
    Updated Apr 24, 2025
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    SEDAC (2025). Spatial Data from the 2011 India Census [Dataset]. https://catalog.data.gov/dataset/spatial-data-from-the-2011-india-census
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    Dataset updated
    Apr 24, 2025
    Dataset provided by
    SEDAC
    Area covered
    India
    Description

    The Spatial Data from the 2011 India Census contains gridded estimates of India population at a resolution of 1 kilometer along with two spatial renderings of urban areas, one based on the official tabulations of population and settlement type (statutory town, outgrowth, census town), and the second, remotely-sensed measures of built-up land derived from the Global Human Settlement Layer. This data set includes a constructed hybrid representation of the urban settlement continuum by cross-classifying the census and remotely-sensed data.

  5. Unit of General Local Government (UGLG)

    • catalog.data.gov
    • datasets.ai
    Updated Mar 1, 2024
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    U.S. Department of Housing and Urban Development (2024). Unit of General Local Government (UGLG) [Dataset]. https://catalog.data.gov/dataset/unit-of-general-local-government-uglg
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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 symbolizes city, county, town, parish, village, or other general-purpose political subdivisions of a State. The term "Unit of General Local Government" refers to a city, county, town, parish, village, or other general-purpose political subdivision of a State. Units of General Local Government (UGLG) are comprised of several Census geographies including: Summary Level 050 - State-County; Summary Level 060 - County Subdivision; Summary Level 070 - State-County-County Subdivision-Place/Remainder; Summary Level 160 - Place; Summary Level 170 - State-Consolidate City; Remainders of County Lands.

  6. a

    Unit of General Local Government (UGLG)

    • hudgis-hud.opendata.arcgis.com
    • data.lojic.org
    • +2more
    Updated Jul 31, 2023
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    Department of Housing and Urban Development (2023). Unit of General Local Government (UGLG) [Dataset]. https://hudgis-hud.opendata.arcgis.com/datasets/unit-of-general-local-government-uglg
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    Dataset updated
    Jul 31, 2023
    Dataset authored and provided by
    Department of Housing and Urban Development
    Area covered
    Description

    The term "Unit of General Local Government" refers to a city, county, town, parish, village, or other general-purpose political subdivision of a State. Units of General Local Government (UGLG) are comprised of several Census geographies including:

    Summary Level 050 - State-County;

    Summary Level 060 - County Subdivision;

    Summary Level 070 - State-County-County Subdivision-Place/Remainder;

    Summary Level 160 - Place;

    Summary Level 170 - State-Consolidate City; Remainders of County Lands. Please note that this version of the data does not include Community Planning and Development entitlement grantees. To learn more about the HUD FHA Revitalization Areas Program visit: https://www.hud.gov/program_offices/housing/sfh/reo/abtrevt/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Unit of General Local Government (UGLG) Date of Coverage: 2020

  7. d

    Population statistics for each township and village in November 2018.

    • data.gov.tw
    xlsx
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    Fukien Province Lienchiang County Government, Population statistics for each township and village in November 2018. [Dataset]. https://data.gov.tw/en/datasets/96338
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    xlsxAvailable download formats
    Dataset authored and provided by
    Fukien Province Lienchiang County Government
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    November 107 population in each township..........

  8. Local Employment Dynamics (LED) for UGLG Grantee Areas

    • hudgis-hud.opendata.arcgis.com
    • data.lojic.org
    • +1more
    Updated Jul 31, 2023
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    Department of Housing and Urban Development (2023). Local Employment Dynamics (LED) for UGLG Grantee Areas [Dataset]. https://hudgis-hud.opendata.arcgis.com/datasets/4cd87243147740eb9d554317571bc930
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    Dataset updated
    Jul 31, 2023
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Department of Housing and Urban Development
    Area covered
    Description

    The Local Employment Dynamics (LED) Partnership is a voluntary federal-state enterprise created for the purpose of merging employee, and employer data to provide a set of enhanced labor market statistics known collectively as Quarterly Workforce Indicators (QWI). The QWI are a set of economic indicators including employment, job creation, earnings, and other measures of employment flows.

    For the purposes of this dataset, LED data for 2018 is aggregated to Census Summary Level 070 (State + County + County Subdivision + Place/Remainder), and joined with the Unit of General Local Government (UGLG) spatial dataset for FY2019.

    The term "Unit of General Local Government" refers to a city, county, town, parish, village, or other general-purpose political subdivision of a State. Units of General Local Government (UGLG) are comprised of several Census geographies including:

    Summary Level 050 - State-County;

    Summary Level 060 - County Subdivision;

    Summary Level 070 - State-County-County Subdivision-Place/Remainder;

    Summary Level 160 - Place;

    Summary Level 170 - State-Consolidate City;

    Remainders of County Lands

    Please note that this version of the data does not include Community Planning and Development (CPD) entitlement grantees. LED data for CPD entitlement areas can be obtained from the LED for CDBG Grantee Areas feature service. To learn more about the Local Employment Dynamics (LED) Partnership visit: https://lehd.ces.census.gov/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_LED for Unit of General Local Government (UGLG)

    Date of Coverage: UGLG-2021/LED-2018

  9. T

    Town of Dumfries Race Demographics

    • data.dumfriesva.gov
    • data.virginia.gov
    application/rdfxml +5
    Updated Jan 11, 2022
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    U.S. Census (2022). Town of Dumfries Race Demographics [Dataset]. https://data.dumfriesva.gov/Government/Town-of-Dumfries-Race-Demographics/aw98-ffq3
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    csv, xml, json, application/rssxml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Jan 11, 2022
    Dataset authored and provided by
    U.S. Census
    Area covered
    Dumfries
    Description

    This data set assesses racial demographic in the Town of Dumfries by percentage over the total population. This data comes from the most recent U.S. Census provided by the United States Census Bureau. Data will be updated accordingly with the schedule of the U.S Census. https://data.census.gov/cedsci/profile?g=1600000US5123760

  10. s

    Tamil Nadu, India: Village Socio-Demographic and Economic Census Data, 2001

    • searchworks.stanford.edu
    zip
    Updated Dec 23, 2023
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    (2023). Tamil Nadu, India: Village Socio-Demographic and Economic Census Data, 2001 [Dataset]. https://searchworks.stanford.edu/view/ry225gg9194
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    zipAvailable download formats
    Dataset updated
    Dec 23, 2023
    Area covered
    Tamil Nadu, India
    Description

    This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for village level demographic analysis within basic applications to support graphical overlays and analysis with other spatial data.

  11. T

    Age Demographics for Town of Dumfries

    • data.dumfriesva.gov
    • data.virginia.gov
    application/rdfxml +5
    Updated Jan 11, 2022
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    U.S. Census (2022). Age Demographics for Town of Dumfries [Dataset]. https://data.dumfriesva.gov/Government/Age-Demographics-for-Town-of-Dumfries/p25d-uv8f
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    application/rssxml, csv, application/rdfxml, tsv, xml, jsonAvailable download formats
    Dataset updated
    Jan 11, 2022
    Dataset authored and provided by
    U.S. Census
    Area covered
    Dumfries
    Description

    This data set collects the age demographics or persons under 5 years, 18 years, and 65 years of age living in the Town of Dumfries. This data comes from the most recent U.S. Census provided by the United States Census Bureau. Data will be updated accordingly with the schedule of the U.S Census. https://data.census.gov/cedsci/profile?g=1600000US5123760

  12. V

    Gender Demographics for Town of Dumfries

    • data.virginia.gov
    • data.dumfriesva.gov
    csv
    Updated Mar 19, 2024
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    Dumfries (2024). Gender Demographics for Town of Dumfries [Dataset]. https://data.virginia.gov/dataset/gender-demographics-for-town-of-dumfries
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    csv(57)Available download formats
    Dataset updated
    Mar 19, 2024
    Dataset authored and provided by
    Dumfries
    Area covered
    Dumfries
    Description

    This data assesses gender demographics of persons living in the Town of Dumfries. This data comes from the most recent U.S. Census provided by the United States Census Bureau. Data will be updated accordingly with the schedule of the U.S Census. https://data.census.gov/cedsci/profile?g=1600000US5123760

  13. T

    Housing Demographics Town of Dumfries

    • data.dumfriesva.gov
    • data.virginia.gov
    application/rdfxml +5
    Updated Jan 12, 2022
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    U.S. Census (2022). Housing Demographics Town of Dumfries [Dataset]. https://data.dumfriesva.gov/Government/Housing-Demographics-Town-of-Dumfries/kty6-q42d
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    tsv, application/rdfxml, csv, application/rssxml, json, xmlAvailable download formats
    Dataset updated
    Jan 12, 2022
    Dataset authored and provided by
    U.S. Census
    Area covered
    Dumfries
    Description

    This data set highlights housing demographics in the Town of Dumfries which includes the median gross rent, per capita income, average mortgage, and median value of owner-occupied housing units. This data comes from the most recent U.S. Census provided by the United States Census Bureau. Data will be updated accordingly with the schedule of the U.S Census. https://data.census.gov/cedsci/profile?g=1600000US5123760

  14. TIGER/Line Shapefile, Current, Nation, U.S., American Indian/Alaska...

    • catalog.data.gov
    Updated Dec 14, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, Current, Nation, U.S., American Indian/Alaska Native/Native Hawaiian Areas (AIANNH) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-nation-u-s-american-indian-alaska-native-native-hawaiian-areas-aia
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Alaska, United States
    Description

    This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas Shapefile includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas are also included in this shapefile refer to areas that are administered jointly and/or claimed by two or more American Indian tribes. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data. Note that tribal subdivisions and Alaska Native Regional Corporations (ANRCs) are additional types of American Indian/Alaska Native areas stored by the Census Bureau, but are displayed in separate shapefiles because of how they fall within the Census Bureau's geographic hierarchy. The State of Hawaii's Office of Hawaiian Home Lands provides the legal boundaries for the HHLs. The boundaries for ANVSAs, OTSAs, and TDSAs were delineated for the 2020 Census through the Participant Statistical Areas Program (PSAP) by participants from the federally recognized tribal governments. The Bureau of Indian Affairs (BIA) within the U.S. Department of the Interior (DOI) provides the list of federally recognized tribes and only provides legal boundary information when the tribes need supporting records, if a boundary is based on treaty or another document that is historical or open to legal interpretation, or when another tribal, state, or local government challenges the depiction of a reservation or off-reservation trust land. The boundaries for federally recognized American Indian reservations and off-reservation trust lands are as of January 1, 2023, as reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries for state-recognized American Indian reservations and for SDTSAs were delineated by a state governor-appointed liaisons for the 2020 Census through the State American Indian Reservation Program and PSAP respectively.

  15. G

    Data from: Rural Population

    • open.canada.ca
    • datasets.ai
    jpg, pdf
    Updated Mar 14, 2022
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    Natural Resources Canada (2022). Rural Population [Dataset]. https://open.canada.ca/data/en/dataset/baddda46-54bf-5e3b-9dbe-ec41f3a04262
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    pdf, jpgAvailable download formats
    Dataset updated
    Mar 14, 2022
    Dataset provided by
    Natural Resources Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Contained within the 3rd Edition (1957) of the Atlas of Canada is a map consisting of two condensed maps showing the distribution of rural population according to the 1951 census of Canada. The term 'rural population' embraces all persons residing outside the census metropolitan areas and cities, towns and villages of 1000 inhabitants and over, whether such cities, towns and villages were incorporated or not. The distribution is shown according to the two divisions of rural population commonly made, namely, rural farm and rural non-farm. The rural farm population comprises all people residing on a farm regardless of occupation. A farm for such purposes is defined as a land holding of over three acres in size on which agricultural operations are carried out, or a land holding from one to three acres in size, which in 1950 accounted for an agricultural production amounting to $250 or more. All other persons classed as rural population come under the rural non-farm division. The northern parts of Yukon Territory and the Northwest Territories are not included on the rural non-farm map although there are some rural non-farm dwellers in these areas. In 1951, Canada's rural population was 52.5% rural farm, and 47.5% rural non-farm.

  16. a

    Annual population, natural increase and net migration for rural Alaska...

    • arcticdata.io
    • search.dataone.org
    Updated Jun 5, 2023
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    Lawrence Hamilton (2023). Annual population, natural increase and net migration for rural Alaska communities 1990-2022 [Dataset]. http://doi.org/10.18739/A28K74Z2B
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    Dataset updated
    Jun 5, 2023
    Dataset provided by
    Arctic Data Center
    Authors
    Lawrence Hamilton
    Time period covered
    Jan 1, 1990 - Jan 1, 2022
    Area covered
    Variables measured
    pop, town, year, cpopP, nipop, natinc, netmig, borough, natincP, netmigP, and 9 more
    Description

    The dataset, provided both in comma-separated values (.csv) and the more informative Stata (.dta) format, contains place/year demographic data on more than 300 rural Alaska communities annually for 1990 to 2022 -- about 10,000 place/years. For each of the available place/years, the data include population estimates from the Alaska Department of Labor and Workforce Development or (in Census years) from the US Census. For a subset consisting of 104 northern or western Alaska (Arctic/subarctic) towns and villages, the dataset also contains yearly estimates of natural increase (births minus deaths) and net migration (population minus last year's population plus natural increase). Natural increase was calculated from birth and death counts provided confidentially to researchers by the Alaska Health Analytics and Vital Records Section (HAVRS). By agreement with HAVRS, the community-level birth and death counts are not available for publication. Population, natural increase, and net migration estimates reflect mid-year values, or change over the past fiscal rather than calendar year. For example, the natural increase value for a community in 2020 is based on births and deaths of residents from July 1, 2019 to June 31, 2020. We emphasize that all values here are best estimates, based on records of the Alaska government organizations. The dataset contains 19 variables: placename Place name (string) placenum Place name (numeric) placefips Place FIPS code year Year borough Borough name boroughfips Borough FIPS code latitude Latitude (decimal, - denotes S) longitude Longitude (decimal, - denotes W) town Village {0:pop2020<2,000} or town {1:pop2020>2,000} village104 104 selected Arctic/rural communities {0,1} arctic43 43 Arctic communities {0,1}, Hamilton et al. 2016 north37 37 Northern Alaska communities {0,1), Hamilton et al. 2016 pop Population (2022 data) cpopP Change in population, percent natinc Natural increase: births-deaths natincP Natural increase, percent netmig Net migration estimate netmigP Net migration, percent nipop Population without migration Three of these variables flag particular subsets of communities. The first two subsets (43 or 37 places) were analyzed in earlier publications, so the flags might be useful for replications or comparisons. The third subset (104 places) is a newer, expanded group of Arctic/subarctic towns and villages for which natural increase and net migration estimates are now available. The flag variables are: If arctic43 = 1 Subset consisting of 43 Arctic towns and villages, previously studied in three published articles: 1. Hamilton, L.C. & A.M. Mitiguy. 2009. “Visualizing population dynamics of Alaska’s Arctic communities.” Arctic 62(4):393–398. https://doi.org/10.14430/arctic170 2. Hamilton, L.C., D.M. White, R.B. Lammers & G. Myerchin. 2012. “Population, climate and electricity use in the Arctic: Integrated analysis of Alaska community data.” Population and Environment 33(4):269–283. https://doi.org/10.1007/s11111-011-0145-1 3. Hamilton, L.C., K. Saito, P.A. Loring, R.B. Lammers & H.P. Huntington. 2016. “Climigration? Population and climate change in Arctic Alaska.” Population and Environment 38(2):115–133. https://doi.org/10.1007/s11111-016-0259-6 If north37 = 1 Subset consisting of 37 northern Alaska towns and villages, previously analyzed for comparison with Nunavut and Greenland in a paper on demographics of the Inuit Arctic: 4. Hamilton, L.C., J. Wirsing & K. Saito. 2018. “Demographic variation and change in the Inuit Arctic.” Environmental Research Letters 13:11507. https://doi.org/10.1088/1748-9326/aae7ef If village104 = 1 Expanded group consisting of 104 communities, including all those in the arctic43 and north37 subsets. This group includes most rural Arctic/subarctic communities that had reasonably complete, continuous data, and 2018 populations of at least 100 people. These data were developed by updating older work and drawing in 61 additional towns or villages, as part of the NSF-supported Arctic Village Dynamics project (OPP-1822424).

  17. w

    QCEW by NAICS (2 level) and Towns

    • data.wu.ac.at
    • data.ct.gov
    • +1more
    csv, json, xml
    Updated Mar 26, 2018
    + more versions
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    QCEW, CT Depertment of Labor, Office of Research (2018). QCEW by NAICS (2 level) and Towns [Dataset]. https://data.wu.ac.at/schema/data_ct_gov/N3p1Ni04ZGNy
    Explore at:
    json, xml, csvAvailable download formats
    Dataset updated
    Mar 26, 2018
    Dataset provided by
    QCEW, CT Depertment of Labor, Office of Research
    License

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

    Description

    Quarterly Census of Employment and Wages (QCEW) by NAICS (2 level) and Towns.

    Source: Connecticut Department of Labor Quarterly Census of Employment and Wages (QCEW). QCEW data is regularly reviewed to correct and/or update industry (NAICS) codes that no longer reflect the ongoing business activity of a firm. Because of these corrections, in some cases changes from year to year may over or understate the actual changes occurring within the industry sector. Any questions regarding this data may directed to dol.lmi@ct.gov

  18. d

    Data from: Indian Reservations.

    • datadiscoverystudio.org
    Updated Jun 26, 2017
    + more versions
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    (2017). Indian Reservations. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/de825f761f424704a389071749079bf5/html
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    Dataset updated
    Jun 26, 2017
    Description

    description: The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas Shapefile includes the following legal entitiesfederally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas are also included in this shapefile refer to areas that are administered jointly and/or claimed by two or more American Indian tribes. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data. Note that tribal subdivisions and Alaska Native Regional Corporations (ANRCs) are additional types of American Indian/Alaska Native areas stored by the Census Bureau, but are displayed in separate shapefiles because of how they fall within the Census Bureau's geographic hierarchy. The State of Hawaii's Office of Hawaiian Home Lands provides the legal boundaries for the HHLs. The boundaries for ANVSAs, OTSAs, and TDSAs were delineated for the 2010 Census through the Tribal Statistical Areas Program (TSAP) by participants from the federally recognized tribal governments. The Bureau of Indian Affairs (BIA) within the U.S. Department of the Interior (DOI) provides the list of federally recognized tribes and only provides legal boundary information when the tribes need supporting records, if a boundary is based on treaty or another document that is historical or open to legal interpretation, or when another tribal, state, or local government challenges the depiction of a reservation or off-reservation trust land. The boundaries for federally recognized American Indian reservations and off-reservation trust lands are as of January 1, 2013, as reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries for state-recognized American Indian reservations and for SDTSAs were delineated by a state governor-appointed liaisons for the 2010 Census through the State American Indian Reservation Program and TSAP respectively.; abstract: The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas Shapefile includes the following legal entitiesfederally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas are also included in this shapefile refer to areas that are administered jointly and/or claimed by two or more American Indian tribes. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data. Note that tribal subdivisions and Alaska Native Regional Corporations (ANRCs) are additional types of American Indian/Alaska Native areas stored by the Census Bureau, but are displayed in separate shapefiles because of how they fall within the Census Bureau's geographic hierarchy. The State of Hawaii's Office of Hawaiian Home Lands provides the legal boundaries for the HHLs. The boundaries for ANVSAs, OTSAs, and TDSAs were delineated for the 2010 Census through the Tribal Statistical Areas Program (TSAP) by participants from the federally recognized tribal governments. The Bureau of Indian Affairs (BIA) within the U.S. Department of the Interior (DOI) provides the list of federally recognized tribes and only provides legal boundary information when the tribes need supporting records, if a boundary is based on treaty or another document that is historical or open to legal interpretation, or when another tribal, state, or local government challenges the depiction of a reservation or off-reservation trust land. The boundaries for federally recognized American Indian reservations and off-reservation trust lands are as of January 1, 2013, as reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries for state-recognized American Indian reservations and for SDTSAs were delineated by a state governor-appointed liaisons for the 2010 Census through the State American Indian Reservation Program and TSAP respectively.

  19. TIGER/Line Shapefile, 2021, State, Alabama, Places

    • catalog.data.gov
    Updated Nov 1, 2022
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Publisher) (2022). TIGER/Line Shapefile, 2021, State, Alabama, Places [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2021-state-alabama-places
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    Dataset updated
    Nov 1, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Alabama
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The TIGER/Line shapefiles 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 boundaries of most incorporated places in this shapefile are as of January 1, 2021, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  20. s

    Delhi, India: Village Points with Socio-Demographic and Economic Census...

    • searchworks.stanford.edu
    zip
    Updated May 1, 2021
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    (2021). Delhi, India: Village Points with Socio-Demographic and Economic Census Data, 1991 [Dataset]. https://searchworks.stanford.edu/view/ky067yq6996
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    zipAvailable download formats
    Dataset updated
    May 1, 2021
    Area covered
    Delhi, India
    Description

    This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for village level demographic analysis within basic applications to support graphical overlays and analysis with other spatial data.

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data.ct.gov (2023). Census Tracts Identified for PA 23-205 by Town [Dataset]. https://catalog.data.gov/dataset/census-tracts-identified-for-pa-23-205-by-town

Census Tracts Identified for PA 23-205 by Town

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Dataset updated
Sep 15, 2023
Dataset provided by
data.ct.gov
Description

This dataset provide the number of high-poverty, low-opportunity census tracts by town. These tracts were identified for PA 23-205 Section 101 as follows: "High poverty, low opportunity areas" mean a census tract in the state where thirty percent or more of the residents have incomes below the federal poverty level, according to the 2021 five-year United States Census Bureau American Community Survey. The 2021 five-year American Community Survey estimates were used to identify the tracts.

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