100+ datasets found
  1. Dec 2003 Current Population Survey: Basic Monthly

    • catalog.data.gov
    • gimi9.com
    • +1more
    Updated Sep 8, 2023
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    U.S. Census Bureau (2023). Dec 2003 Current Population Survey: Basic Monthly [Dataset]. https://catalog.data.gov/dataset/dec-2003-current-population-survey-basic-monthly
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    Dataset updated
    Sep 8, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI). In addition to the labor force data, the CPS basic funding provides annual data on work experience, income, and migration from the March Annual Demographic Supplement and on school enrollment of the population from the October Supplement. Other supplements, some of which are sponsored by other agencies, are conducted biennially or intermittently.

  2. Gridded Population of the World, Version 3 (GPWv3): Population Density Grid

    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    • data.nasa.gov
    • +2more
    Updated Apr 23, 2025
    + more versions
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    nasa.gov (2025). Gridded Population of the World, Version 3 (GPWv3): Population Density Grid [Dataset]. https://data.staging.idas-ds1.appdat.jsc.nasa.gov/dataset/gridded-population-of-the-world-version-3-gpwv3-population-density-grid
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Area covered
    World, Earth
    Description

    The Gridded Population of the World, Version 3 (GPWv3): Population Density Grid consists of estimates of human population for the years 1990, 1995, and 2000 by 2.5 arc-minute grid cells and associated data sets dated circa 2000. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative Units, is used to assign population values to grid cells. The population density grids are derived by dividing the population count grids by the land area grid and represent persons per square kilometer. The grids are available in various GIS-compatible data formats and geographic extents (global, continent [Antarctica not included], and country levels). GPWv3 is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with Centro Internacional de Agricultura Tropical (CIAT).

  3. d

    Gridded Population of the World, Version 3 (GPWv3): Centroids

    • catalog.data.gov
    • data.nasa.gov
    • +2more
    Updated Apr 24, 2025
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    SEDAC (2025). Gridded Population of the World, Version 3 (GPWv3): Centroids [Dataset]. https://catalog.data.gov/dataset/gridded-population-of-the-world-version-3-gpwv3-centroids
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    Dataset updated
    Apr 24, 2025
    Dataset provided by
    SEDAC
    Area covered
    Earth, World
    Description

    The Gridded Population of the World, Version 3 (GPWv3): Centroids consists of estimates of human population counts and densities for the years 1990, 1995, 2000, 2005, 2010, and 2015 by administrative Unit centroid location. The centroids are based on the 399,781 input administrative Units used in GPWv3. In addition to population counts and variables, the centroids have associated administrative Unit names and the land area of contained within the administrative Unit. GPWv3 is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with Centro Internacional de Agricultura Tropical (CIAT).

  4. c

    Gridded Population of the World, Version 3 (GPWv3): Land and Geographic Unit...

    • s.cnmilf.com
    • cloud.csiss.gmu.edu
    • +4more
    Updated Apr 24, 2025
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    SEDAC (2025). Gridded Population of the World, Version 3 (GPWv3): Land and Geographic Unit Area Grids [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/gridded-population-of-the-world-version-3-gpwv3-land-and-geographic-unit-area-grids
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    Dataset updated
    Apr 24, 2025
    Dataset provided by
    SEDAC
    Area covered
    World, Earth
    Description

    The Gridded Population of the World, Version 3 (GPWv3): Land and Geographic Unit Area Grids measure land areas in square kilometers and the mean Unit size (population-weighted) in square kilometers. The land area grid permits the summation of areas (net of permanent ice and water) at the same resolution as the population density, count, and urban-rural grids. The mean Unit size grids provides a quantitative surface that indicates the size of the input Unit(s) from which population count and density grids are derived..GPWv3 is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with Centro Internacional de Agricultura Tropical (CIAT).

  5. Population structure indicators by NUTS 3 region

    • data.europa.eu
    csv, html, tsv, xml
    Updated Dec 8, 2016
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    Eurostat (2016). Population structure indicators by NUTS 3 region [Dataset]. https://data.europa.eu/data/datasets/xtmopzt326qfv7ablgjtnq?locale=en
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    html, tsv(1397746), xml, csvAvailable download formats
    Dataset updated
    Dec 8, 2016
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Description

    Population structure indicators by NUTS 3 region

  6. i

    Living Standards Measurement Survey 2003 (General Population, Wave 2 Panel)...

    • catalog.ihsn.org
    • datacatalog.ihsn.org
    • +1more
    Updated Jul 4, 2025
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    Strategic Marketing & Media Research Institute Group (SMMRI) (2025). Living Standards Measurement Survey 2003 (General Population, Wave 2 Panel) and Roma Settlement Survey 2003 - Serbia and Montenegro [Dataset]. https://catalog.ihsn.org/catalog/5178
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    Dataset updated
    Jul 4, 2025
    Dataset provided by
    Strategic Marketing & Media Research Institute Group (SMMRI)
    Ministry of Social Affairs
    Time period covered
    2003
    Area covered
    Serbia and Montenegro
    Description

    Abstract

    The study included four separate surveys:

    1. The LSMS survey of general population of Serbia in 2002
    2. The survey of Family Income Support (MOP in Serbian) recipients in 2002 These two datasets are published together separately from the 2003 datasets.

    3. The LSMS survey of general population of Serbia in 2003 (panel survey)

    4. The survey of Roma from Roma settlements in 2003 These two datasets are published together.

    Objectives

    LSMS represents multi-topical study of household living standard and is based on international experience in designing and conducting this type of research. The basic survey was carried out in 2002 on a representative sample of households in Serbia (without Kosovo and Metohija). Its goal was to establish a poverty profile according to the comprehensive data on welfare of households and to identify vulnerable groups. Also its aim was to assess the targeting of safety net programs by collecting detailed information from individuals on participation in specific government social programs. This study was used as the basic document in developing Poverty Reduction Strategy (PRS) in Serbia which was adopted by the Government of the Republic of Serbia in October 2003.

    The survey was repeated in 2003 on a panel sample (the households which participated in 2002 survey were re-interviewed).

    Analysis of the take-up and profile of the population in 2003 was the first step towards formulating the system of monitoring in the Poverty Reduction Strategy (PRS). The survey was conducted in accordance with the same methodological principles used in 2002 survey, with necessary changes referring only to the content of certain modules and the reduction in sample size. The aim of the repeated survey was to obtain panel data to enable monitoring of the change in the living standard within a period of one year, thus indicating whether there had been a decrease or increase in poverty in Serbia in the course of 2003. [Note: Panel data are the data obtained on the sample of households which participated in the both surveys. These data made possible tracking of living standard of the same persons in the period of one year.]

    Along with these two comprehensive surveys, conducted on national and regional representative samples which were to give a picture of the general population, there were also two surveys with particular emphasis on vulnerable groups. In 2002, it was the survey of living standard of Family Income Support recipients with an aim to validate this state supported program of social welfare. In 2003 the survey of Roma from Roma settlements was conducted. Since all present experiences indicated that this was one of the most vulnerable groups on the territory of Serbia and Montenegro, but with no ample research of poverty of Roma population made, the aim of the survey was to compare poverty of this group with poverty of basic population and to establish which categories of Roma population were at the greatest risk of poverty in 2003. However, it is necessary to stress that the LSMS of the Roma population comprised potentially most imperilled Roma, while the Roma integrated in the main population were not included in this study.

    Geographic coverage

    The surveys were conducted on the whole territory of Serbia (without Kosovo and Metohija).

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Sample frame for both surveys of general population (LSMS) in 2002 and 2003 consisted of all permanent residents of Serbia, without the population of Kosovo and Metohija, according to definition of permanently resident population contained in UN Recommendations for Population Censuses, which were applied in 2002 Census of Population in the Republic of Serbia. Therefore, permanent residents were all persons living in the territory Serbia longer than one year, with the exception of diplomatic and consular staff.

    The sample frame for the survey of Family Income Support recipients included all current recipients of this program on the territory of Serbia based on the official list of recipients given by Ministry of Social affairs.

    The definition of the Roma population from Roma settlements was faced with obstacles since precise data on the total number of Roma population in Serbia are not available. According to the last population Census from 2002 there were 108,000 Roma citizens, but the data from the Census are thought to significantly underestimate the total number of the Roma population. However, since no other more precise data were available, this number was taken as the basis for estimate on Roma population from Roma settlements. According to the 2002 Census, settlements with at least 7% of the total population who declared itself as belonging to Roma nationality were selected. A total of 83% or 90,000 self-declared Roma lived in the settlements that were defined in this way and this number was taken as the sample frame for Roma from Roma settlements.

    Planned sample: In 2002 the planned size of the sample of general population included 6.500 households. The sample was both nationally and regionally representative (representative on each individual stratum). In 2003 the planned panel sample size was 3.000 households. In order to preserve the representative quality of the sample, we kept every other census block unit of the large sample realized in 2002. This way we kept the identical allocation by strata. In selected census block unit, the same households were interviewed as in the basic survey in 2002. The planned sample of Family Income Support recipients in 2002 and Roma from Roma settlements in 2003 was 500 households for each group.

    Sample type: In both national surveys the implemented sample was a two-stage stratified sample. Units of the first stage were enumeration districts, and units of the second stage were the households. In the basic 2002 survey, enumeration districts were selected with probability proportional to number of households, so that the enumeration districts with bigger number of households have a higher probability of selection. In the repeated survey in 2003, first-stage units (census block units) were selected from the basic sample obtained in 2002 by including only even numbered census block units. In practice this meant that every second census block unit from the previous survey was included in the sample. In each selected enumeration district the same households interviewed in the previous round were included and interviewed. On finishing the survey in 2003 the cases were merged both on the level of households and members.

    Stratification: Municipalities are stratified into the following six territorial strata: Vojvodina, Belgrade, Western Serbia, Central Serbia (Šumadija and Pomoravlje), Eastern Serbia and South-east Serbia. Primary units of selection are further stratified into enumeration districts which belong to urban type of settlements and enumeration districts which belong to rural type of settlement.

    The sample of Family Income Support recipients represented the cases chosen randomly from the official list of recipients provided by Ministry of Social Affairs. The sample of Roma from Roma settlements was, as in the national survey, a two-staged stratified sample, but the units in the first stage were settlements where Roma population was represented in the percentage over 7%, and the units of the second stage were Roma households. Settlements are stratified in three territorial strata: Vojvodina, Beograd and Central Serbia.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    In all surveys the same questionnaire with minimal changes was used. It included different modules, topically separate areas which had an aim of perceiving the living standard of households from different angles. Topic areas were the following: 1. Roster with demography. 2. Housing conditions and durables module with information on the age of durables owned by a household with a special block focused on collecting information on energy billing, payments, and usage. 3. Diary of food expenditures (weekly), including home production, gifts and transfers in kind. 4. Questionnaire of main expenditure-based recall periods sufficient to enable construction of annual consumption at the household level, including home production, gifts and transfers in kind. 5. Agricultural production for all households which cultivate 10+ acres of land or who breed cattle. 6. Participation and social transfers module with detailed breakdown by programs 7. Labour Market module in line with a simplified version of the Labour Force Survey (LFS), with special additional questions to capture various informal sector activities, and providing information on earnings 8. Health with a focus on utilization of services and expenditures (including informal payments) 9. Education module, which incorporated pre-school, compulsory primary education, secondary education and university education. 10. Special income block, focusing on sources of income not covered in other parts (with a focus on remittances).

    Response rate

    During field work, interviewers kept a precise diary of interviews, recording both successful and unsuccessful visits. Particular attention was paid to reasons why some households were not interviewed. Separate marks were given for households which were not interviewed due to refusal and for cases when a given household could not be found on the territory of the chosen census block.

    In 2002 a total of 7,491 households were contacted. Of this number a total of 6,386 households in 621 census rounds were interviewed. Interviewers did not manage to collect the data for 1,106 or 14.8% of selected households. Out of this number 634 households

  7. d

    1-3 population growth

    • data.gov.tw
    csv
    Updated Jun 25, 2025
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    National Development Council (2025). 1-3 population growth [Dataset]. https://data.gov.tw/en/datasets/6328
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    csvAvailable download formats
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    National Development Council
    License

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

    Description
    1. Urban and Regional Development Statistics Compilation collects regular statistical data on urban and regional development released by different agencies; 2. Source of the data: Ministry of the Interior (https://goo.gl/YqTWia)
  8. India Census: Population: by Religion: Other Religion and Persuasions: Jammu...

    • ceicdata.com
    Updated Oct 2, 2018
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    CEICdata.com (2018). India Census: Population: by Religion: Other Religion and Persuasions: Jammu and Kashmir: Male [Dataset]. https://www.ceicdata.com/en/india/census-population-by-religion-other-religion-and-persuasions
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    Dataset updated
    Oct 2, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2001 - Mar 1, 2011
    Area covered
    India
    Variables measured
    Population
    Description

    Census: Population: by Religion: Other Religion and Persuasions: Jammu and Kashmir: Male data was reported at 802.000 Person in 03-01-2011. This records an increase from the previous number of 51.000 Person for 03-01-2001. Census: Population: by Religion: Other Religion and Persuasions: Jammu and Kashmir: Male data is updated decadal, averaging 426.500 Person from Mar 2001 (Median) to 03-01-2011, with 2 observations. The data reached an all-time high of 802.000 Person in 03-01-2011 and a record low of 51.000 Person in 03-01-2001. Census: Population: by Religion: Other Religion and Persuasions: Jammu and Kashmir: Male data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAE008: Census: Population: by Religion: Other Religion and Persuasions.

  9. Mar 2003 Current Population Survey: Basic Monthly

    • catalog.data.gov
    • gimi9.com
    Updated Sep 5, 2023
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    U.S. Census Bureau (2023). Mar 2003 Current Population Survey: Basic Monthly [Dataset]. https://catalog.data.gov/dataset/mar-2003-current-population-survey-basic-monthly
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    Dataset updated
    Sep 5, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI). In addition to the labor force data, the CPS basic funding provides annual data on work experience, income, and migration from the March Annual Demographic Supplement and on school enrollment of the population from the October Supplement. Other supplements, some of which are sponsored by other agencies, are conducted biennially or intermittently.

  10. o

    Population 3 Yrs And Older Who Attended School In The Past By Sex, Level Of...

    • open.africa
    Updated May 15, 2013
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    (2013). Population 3 Yrs And Older Who Attended School In The Past By Sex, Level Of Education And Region(2010) - Dataset - openAFRICA [Dataset]. https://open.africa/dataset/population-3-yrs-and-older-who-attended-school-in-the-past-by-sex-level-of-education-and-region-2010
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    Dataset updated
    May 15, 2013
    Description

    Population 3 Years And Older Who Attended School In The Past By Sex, Level Of Education And Region(2010)

  11. n

    Gridded Population of the World, Version 3 (GPWv3): National Administrative...

    • earthdata.nasa.gov
    • data.nasa.gov
    • +3more
    Updated Jun 17, 2025
    + more versions
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    ESDIS (2025). Gridded Population of the World, Version 3 (GPWv3): National Administrative Boundaries [Dataset]. http://doi.org/10.7927/H4FJ2DQN
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    Dataset updated
    Jun 17, 2025
    Dataset authored and provided by
    ESDIS
    Area covered
    World, Earth
    Description

    The Gridded Population of the World, Version 3 (GPWv3): National Administrative Boundaries are derived from the land area grid to show the outlines of pixels (cells) that contain administrative Units in GPWv3 on a per-country/territory basis. The National Boundaries data are derived from the pixels as polygons and thus have rectilinear boundaries at large scale. Note that the polygons that outline the countries and territories are not official representations; rather, they represent the area covered by the statistical data as provided. The national/territorial boundaries are designed for cartographic use with the GPWv3 population raster data sets. GPWv3 is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with Centro Internacional de Agricultura Tropical (CIAT).

  12. o

    2009 Census Volume II Table 2: Population, 3 years and above by Sex and...

    • open.africa
    Updated Jun 24, 2015
    + more versions
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    (2015). 2009 Census Volume II Table 2: Population, 3 years and above by Sex and Highest Level of Education Reached County Estimates - Dataset - openAFRICA [Dataset]. https://open.africa/dataset/2009-census-volume-ii-table-2-population-3-years-and-above-by-sex-and-highest-level-of-edu
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    Dataset updated
    Jun 24, 2015
    License

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

    Description

    2009 Census Volume II Table 2: Population, 3 years and above by Sex and Highest Level of Education Reached County Estimates

  13. w

    Distribution of population per ISO 3 country code

    • workwithdata.com
    Updated May 8, 2025
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    Work With Data (2025). Distribution of population per ISO 3 country code [Dataset]. https://www.workwithdata.com/charts/countries?agg=sum&chart=bar&x=country_code_3&y=population
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    Dataset updated
    May 8, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This bar chart displays population (people) by ISO 3 country code using the aggregation sum. The data is about countries.

  14. s

    Papua New Guinea administrative level 0, 1, 2, and 3 population statistics

    • pacific-data.sprep.org
    • pacificdata.org
    • +1more
    csv, xlsx
    Updated Dec 2, 2025
    + more versions
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    PNG Conservation and Environment Protection Authority (2025). Papua New Guinea administrative level 0, 1, 2, and 3 population statistics [Dataset]. https://pacific-data.sprep.org/dataset/papua-new-guinea-administrative-level-0-1-2-and-3-population-statistics
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    xlsx(37392), csv(14766)Available download formats
    Dataset updated
    Dec 2, 2025
    Dataset provided by
    PNG Conservation and Environment Protection Authority
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Area covered
    Papua New Guinea
    Description

    1) At administrative level 1 these tables do not refer to the National Capital District or to the Autonomous Region of Bougainville. The National Capital District is combined with the Central Province and Bougainville is combined with the North Solomons province.

    2) The administrative unit P-codes found in these tables do not completely correspond with the P-codes found in the shapefiles available on HDX (here)[https://data.humdata.org/dataset/papua-new-guinea-admin-level-0-international-boundaries].
    
  15. d

    3. Population by Nationality & Sex

    • data.gov.bh
    csv, excel, json
    Updated May 22, 2025
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    (2025). 3. Population by Nationality & Sex [Dataset]. https://data.gov.bh/explore/dataset/03-population-by-nationality-and-sex/
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    csv, excel, jsonAvailable download formats
    Dataset updated
    May 22, 2025
    Description

    Population by Nationality & Sex

  16. W

    Burkina Faso administrative level 0-3 population statistics tables and...

    • cloud.csiss.gmu.edu
    csv, pdf, xlsx
    Updated Jul 23, 2019
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    UN Humanitarian Data Exchange (2019). Burkina Faso administrative level 0-3 population statistics tables and gazetteer [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/burkina-faso-population-statistic
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    csv(4695), pdf(100542), csv(103025), xlsx(153712), xlsx(53900), csv(14733), csv(750)Available download formats
    Dataset updated
    Jul 23, 2019
    Dataset provided by
    UN Humanitarian Data Exchange
    Area covered
    Burkina Faso
    Description

    Burkina Faso administrative level 0 (country), 1 (administrative region), 2 (province), and 3 (department) 2019 sex and age disaggregated population statistics and gazetteer

    The CSV tables are suitable for database or GIS linkage to the administrative level 0-3 Burkina Faso administrative level 0-3 boundary polygon, point, and line shapefiles, KMZ files, and live services, and gazetteer boundaries.

  17. d

    CSR03 - Population Aged 15 Years and Over

    • datasalsa.com
    csv, json-stat, px +1
    Updated Jul 9, 2021
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    Central Statistics Office (2021). CSR03 - Population Aged 15 Years and Over [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=csr03-population-aged-15-years-and-over
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    xlsx, px, json-stat, csvAvailable download formats
    Dataset updated
    Jul 9, 2021
    Dataset authored and provided by
    Central Statistics Office
    License

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

    Time period covered
    Jul 9, 2021
    Description

    CSR03 - Population Aged 15 Years and Over. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0). Population Aged 15 Years and Over...

  18. ICLUS v1.3 Population Projections

    • catalog.data.gov
    • gimi9.com
    Updated Feb 25, 2025
    + more versions
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    U.S. Environmental Protection Agency, Office of Research and Development, National Center for Environmental Assessment, Global Change Research Program (Point of Contact) (2025). ICLUS v1.3 Population Projections [Dataset]. https://catalog.data.gov/dataset/iclus-v1-3-population-projections9
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    Dataset updated
    Feb 25, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    Climate and land-use change are major components of global environmental change with feedbacks between these components. The consequences of these interactions show that land use may exacerbate or alleviate climate change effects. Based on these findings it is important to use land-use scenarios that are consistent with the specific assumptions underlying climate-change scenarios. The Integrated Climate and Land-Use Scenarios (ICLUS) project developed land-use outputs that are based on a downscaled version of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) social, economic, and demographic storylines. ICLUS outputs are derived from a pair of models. A demographic model generates county-level population estimates that are distributed by a spatial allocation model (SERGoM v3) as housing density across the landscape. Land-use outputs were developed for the four main SRES storylines and a baseline ("base case"). The model is run for the conterminous USA and output is available for each scenario by decade to 2100. In addition to housing density at a 1 hectare spatial resolution, this project also generated estimates of impervious surface at a resolution of 1 square kilometer. This shapefile holds population data for all counties of the conterminous USA for all decades (2010-2100) and SRES population growth scenarios (A1, A2, B1, B2), as well as a 'base case' (BC) scenario, for use in the Integrated Climate and Land Use Scenarios (ICLUS) project.

  19. w

    Top ISO 3 country codes by country's population in Oceania

    • workwithdata.com
    Updated May 8, 2025
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    Work With Data (2025). Top ISO 3 country codes by country's population in Oceania [Dataset]. https://www.workwithdata.com/charts/countries?agg=sum&chart=hbar&f=1&fcol0=continent&fop0=%3D&fval0=Oceania&x=country_code_3&y=population
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    Dataset updated
    May 8, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This horizontal bar chart displays population (people) by ISO 3 country code using the aggregation sum in Oceania. The data is about countries.

  20. A

    Caribbean Population Density Estimate 2016

    • data.amerigeoss.org
    • caribbeangeoportal.com
    esri rest, html
    Updated Mar 20, 2020
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    Caribbean GeoPortal (2020). Caribbean Population Density Estimate 2016 [Dataset]. https://data.amerigeoss.org/dataset/caribbean-population-density-estimate-2016
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    html, esri restAvailable download formats
    Dataset updated
    Mar 20, 2020
    Dataset provided by
    Caribbean GeoPortal
    Area covered
    Caribbean
    Description

    This map features the World Population Density Estimate 2016 layer for the Caribbean region. The advantage population density affords over raw counts is the ability to compare levels of persons per square kilometer anywhere in the world.


    Esri calculated density by converting the the World Population Estimate 2016 layer to polygons, then added an attribute for geodesic area, which allowed density to be derived, and that was converted back to raster.

    A population density raster is better to use for mapping and visualization than a raster of raw population counts because raster cells are square and do not account for area. For instance, compare a cell with 185 people in northern Quito, Ecuador, on the equator to a cell with 185 people in Edmonton, Canada at 53.5 degrees north latitude. This is difficult because the area of the cell in Edmonton is only 35.5% of the area of a cell in Quito. The cell in Edmonton represents a density of 9,810 persons per square kilometer, while the cell in Quito only represents a density of 3,485 persons per square kilometer.
    Dataset Summary

    Each cell in this layer has an integer value with the estimated number of people per square kilometer likely to live in the geographic region represented by that cell. Esri additionally produced several additional layers:
    To use this layer in analysis, there are several properties or geoprocessing environment settings that should be used:
    • Coordinate system: WGS_1984. This service and its underlying data are WGS_1984. We do this because projecting population count data actually will change the populations due to resampling and either collapsing or splitting cells to fit into another coordinate system.
    • Cell Size: 0.0013474728 degrees (approximately 150-meters) at the equator.
    • No Data: -1
    • Bit Depth: 32-bit signed
    This layer has query, identify, pixel, and export image functions enabled, and is restricted to a maximum analysis size of 30,000 x 30,000 pixels - an area about the size of Africa.

    Frye, C. et al., (2018). Using Classified and Unclassified Land Cover Data to Estimate the Footprint of Human Settlement. Data Science Journal. 17, p.20. DOI: https://doi.org/10.5334/dsj-2018-020.

    What can you do with this layer?

    This layer is primarily intended for cartography and visualization, but may also be useful for analysis, particularly for estimating where people living above specified densities. There are two processing templates defined for this layer: the default, "World Population Estimated 2016 Density Classes" uses a classification, described above, to show locations of levels of rural and urban populations, and should be used for cartography and visualization; and "None," which provides access to the unclassified density values, and should be used for analysis. The breaks for the classes are at the following levels of persons per square kilometer:
    • 100 - Rural (3.2% [0.7%] of all people live at this density or lower)
    • 400 - Settled (13.3% [4.1%] of all people live at this density or lower)
    • 1,908 - Urban (59.4% [81.1%] of all people live at this density or higher)
    • 16,978 - Heavy Urban (13.0% [24.2%] of all people live at this density or higher)
    • 26,331 - Extreme Urban (7.8% [15.4%] of all people live at this density or higher)
    • Values

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Close
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U.S. Census Bureau (2023). Dec 2003 Current Population Survey: Basic Monthly [Dataset]. https://catalog.data.gov/dataset/dec-2003-current-population-survey-basic-monthly
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Dec 2003 Current Population Survey: Basic Monthly

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Dataset updated
Sep 8, 2023
Dataset provided by
United States Census Bureauhttp://census.gov/
Description

To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI). In addition to the labor force data, the CPS basic funding provides annual data on work experience, income, and migration from the March Annual Demographic Supplement and on school enrollment of the population from the October Supplement. Other supplements, some of which are sponsored by other agencies, are conducted biennially or intermittently.

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