100+ datasets found
  1. Z

    MANET: uncertainty in demographics – data on population projections

    • data.niaid.nih.gov
    • zenodo.org
    Updated Aug 19, 2024
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    Sara Giarola (2024). MANET: uncertainty in demographics – data on population projections [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_8312058
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    Dataset updated
    Aug 19, 2024
    Dataset authored and provided by
    Sara Giarola
    License

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

    Description

    This is a repository of global and regional human population data collected from: the databases of scenarios assessed by the Intergovernmental Panel on Climate Change (Sixth Assessment Report, Special Report on 1.5 C; Fifth Assessment Report), multi-national databases of population projections (World Bank, International Database, United Nation population projections), and other very long-term population projections (Resources for the Future).

    More specifically, it contains:

    • in other_pop_data folder files from World Bank, the International Database from the US Census, and from IHME

    • in the SSP folder, the Shared Socioeconomic Pathways, as in the version 2.0 downloaded from IIASA and as in the version 3.0 downloaded from IIASA workspace

    • in the UN folder, the demographic projections from UN

    • IAMstat.xlsx, an overview file of the metadata accompanying the scenarios present in the IPCC databases

    • RFF.csv, an overview file containing the population projections obtained by Resources For the Future

    '- the remaining .csv files with names AR6#, AR5#, IAMC15# contain the IPCC scenarios assessed by the IPCC for preparing the IPCC assessment reports. They can be downloaded from AR5, SR 1.5, and AR6

    This data in intended to be downloaded for use together with the package downloadable here.

    The dataset was used as a supporting material for the paper "Underestimating demographic uncertainties in the synthesis process of the IPCC" accepted on npj Climate Action (DOI : 10.1038/s44168-024-00152-y).

  2. Calculation File Uploaded-AAJ_JS-14741.xlsx

    • figshare.com
    xlsx
    Updated Jun 26, 2023
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    Jayachandran A A (2023). Calculation File Uploaded-AAJ_JS-14741.xlsx [Dataset]. http://doi.org/10.6084/m9.figshare.23577831.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 26, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Jayachandran A A
    License

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

    Description

    Data contains 2022 world population data publised by the UN DESA for six most populous countries of the world. File also contains the analysis of decomposition of demographic indicators on population growth.

  3. Z

    Pop-AUT: Subnational SSP Population Projections for Austria

    • data.niaid.nih.gov
    Updated Jan 16, 2024
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    Marbler, Alexander (2024). Pop-AUT: Subnational SSP Population Projections for Austria [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_10477869
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    Dataset updated
    Jan 16, 2024
    Dataset authored and provided by
    Marbler, Alexander
    License

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

    Area covered
    Austria
    Description

    General Information

    The Pop-AUT database was developed for the DISCC-AT project, which required subnational population projections for Austria consistent with the updated Shared Socio-Economic Pathways (SSPs). For this database, the most recent version of the nationwide SSP population projections (IIASA-WiC POP 2023) are spatially downscaled, offering a detailed perspective at the subnational level in Austria. Recognizing the relevance of this information for a wider audience, the data has been made publicly accessible through an interactive dashboard. There, users are invited to explore how the Austrian population is projected to evolve under different SSP scenarios until the end of this century.

    Methodology

    The downscaling process of the nationwide Shared Socioeconomic Pathways (SSP) population projections is a four-step procedure developed to obtain subnational demographic projections for Austria. In the first step, population potential surfaces for Austria are derived. These indicate the attractiveness of a location in terms of habitability and are obtained using machine learning techniques, specifically random forest models, along with geospatial information such as land use, roads, elevation, distance to cities, and elevation (see, e.g., Wang et al. 2023).

    The population potential surfaces play a crucial role in distributing the Austrian population effectively across the country. Calculations are based on the 1×1 km spatial resolution database provided by Wang et al. (2023), covering all SSPs in 5-year intervals from 2020 to 2100.

    Moving to the second step, the updated nationwide SSP population projections for Austria (IIASA-WiC POP 2023) are distributed to all 1×1 km grid cells within the country. This distribution is guided by the previously computed grid cell-level population potential surfaces, ensuring a more granular representation of demographic trends.

    The base year for all scenarios is 2015, obtained by downscaling the UN World Population Prospects 2015 count for Austria using the WorldPop (2015) 1×1 km population count raster.

    In the third step, the 1×1 km population projections are temporally interpolated to obtain yearly projections for all SSP scenarios spanning the period from 2015 to 2100.

    The final step involves the spatial aggregation of the gridded SSP-consistent population projections to the administrative levels of provinces (Bundesländer), districts (Bezirke), and municipalities (Gemeinden).

    Dashboard

    The data can be explored interactively through a dashboard.

    Data Inputs

    Updated nationwide SSP population projections: IIASA-WiC POP (2023) (https://zenodo.org/records/7921989)

    Population potential surfaces: Wang, X., Meng, X., & Long, Y. (2022). Projecting 1 km-grid population distributions from 2020 to 2100 globally under shared socioeconomic pathways. Scientific Data, 9(1), 563.

    Shapefiles: data.gv.at

    WorldPop 2015: WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00647

    Version

    This is version 1.0, built upon the Review-Phase 2 version of the updated nationwide SSP population projections (IIASA-WiC POP 2023). Once these projections are revised, this dataset will be accordingly updated.

    File Organization

    The SSP-consistent population projections for Austria are accessible in two formats: .csv files for administrative units (provinces = Bundesländer, districts = Politische Bezirke, municipalities = Gemeinden) and 1×1 km raster files in GeoTIFF and NetCDF formats. All files encompass annual population counts spanning from 2015 to 2100.

  4. 2023 Countries by Population

    • kaggle.com
    Updated Apr 20, 2023
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    Thabresh Syed (2023). 2023 Countries by Population [Dataset]. https://www.kaggle.com/thabresh/2023-countries-by-population/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 20, 2023
    Dataset provided by
    Kaggle
    Authors
    Thabresh Syed
    Description

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F11723377%2F59bc70fb3d13d9f954e317aacbfd2bd6%2FPopulation.png?generation=1681981140865261&alt=media" alt="">

    The population data from the United Nations is a dataset that contains information on the estimated population of each country in the world for various years between 1980 and 2050. The dataset includes the following columns:

    • place: Name of the country or region
    • pop1980: Estimated population for the year 1980
    • pop2000: Estimated population for the year 2000
    • pop2010: Estimated population for the year 2010
    • pop2022: Estimated population for the year 2022
    • pop2023: Estimated population for the year 2023
    • pop2030: Estimated population for the year 2030
    • pop2050: Estimated population for the year 2050
    • country: ISO 3166-1 alpha-3 code of the country
    • area: Total land and water area of the country (in square kilometers)
    • landAreaKm: Land area of the country (in square kilometers)
    • cca2: ISO 3166-1 alpha-2 code of the country
    • cca3: ISO 3166-1 alpha-3 code of the country
    • netChange: Annual net change in population (in thousands)
    • growthRate: Annual population growth rate (as a percentage)
    • worldPercentage: Percentage of world population
    • density: Population density (in persons per square kilometer)
    • densityMi: Population density (in persons per square mile)
    • rank: Rank of the country by population

    The dataset provides a comprehensive overview of the population of each country over time and can be used to analyze population trends, make population projections, and compare the population of different countries. The dataset can also be used in combination with other data sources to explore correlations between population and various social and economic indicators.

  5. d

    The United Nations Population Statistics Database

    • search.dataone.org
    • knb.ecoinformatics.org
    Updated Apr 30, 2021
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    K. Kovacs; E. Horvath (2021). The United Nations Population Statistics Database [Dataset]. http://doi.org/10.15485/1464266
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    Dataset updated
    Apr 30, 2021
    Dataset provided by
    ESS-DIVE
    Authors
    K. Kovacs; E. Horvath
    Time period covered
    Jan 1, 1950 - Dec 31, 2004
    Area covered
    United Nations
    Description

    The United Nations Energy Statistics Database (UNSTAT) is a comprehensive collection of international energy and demographic statistics prepared by the United Nations Statistics Division. The 2004 version represents the latest in the series of annual compilations which commenced under the title World Energy Supplies in Selected Years, 1929-1950. Supplementary series of monthly and quarterly data on production of energy may be found in the Monthly Bulletin of Statistics. The database contains comprehensive energy statistics for more than 215 countries or areas for production, trade and intermediate and final consumption (end-use) for primary and secondary conventional, non-conventional and new and renewable sources of energy. Mid-year population estimates are included to enable the computation of per capita data. Annual questionnaires sent to national statistical offices serve as the primary source of information. Supplementary data are also compiled from national, regional and international statistical publications. The Statistics Division prepares estimates where official data are incomplete or inconsistent. The database is updated on a continuous basis as new information and revisions are received. This metadata file represents the population statistics during the expressed time. For more information about the country site codes, click this link to the United Nations "Standard country or area codes for statistical use": https://unstats.un.org/unsd/methodology/m49/overview/

  6. World population - forecast about the development 2024-2100

    • statista.com
    Updated May 28, 2025
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    Statista (2025). World population - forecast about the development 2024-2100 [Dataset]. https://www.statista.com/statistics/262618/forecast-about-the-development-of-the-world-population/
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    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    World
    Description

    Before 2025, the world's total population is expected to reach eight billion. Furthermore, it is predicted to reach over 10 billion in 2060, before slowing again as global birth rates are expected to decrease. Moreover, it is still unclear to what extent global warming will have an impact on population development. A high share of the population increase is expected to happen on the African continent.

  7. Global Births and Deaths Projections to 2100

    • kaggle.com
    Updated Oct 13, 2024
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    Shreya Sur965 (2024). Global Births and Deaths Projections to 2100 [Dataset]. https://www.kaggle.com/datasets/shreyasur965/births-and-deaths/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 13, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Shreya Sur965
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset provides comprehensive global population dynamics data, spanning from 1950 to 2100. It includes historical estimates and medium-scenario projections from the United Nations World Population Prospects 2024 edition. Covering 237 countries or areas, this dataset offers researchers, policymakers, and data enthusiasts a valuable resource for analyzing long-term demographic trends and their potential impacts across a 150-year period.

    Key features of this dataset include:

    • Annual birth and death figures for each country/area
    • Historical estimates from 1950 to 2024
    • Medium-scenario projections from 2024 to 2100
    • Data for both sexes combined and all age groups
    • Consistent methodology across countries for comparability

    This dataset is ideal for:

    • Long-term demographic trend analysis and forecasting
    • Historical population studies and future projections
    • Policy planning for healthcare, education, and social services
    • Economic growth and labor force projections over extended periods
    • Environmental impact studies related to population changes
    • Academic research in social sciences, public health, and historical demography

    Whether you're a data scientist, historian, policymaker, or social researcher, this dataset offers a wealth of information to explore and analyze global population dynamics across a century and a half.

  8. Total population in Indonesia 2010-2030 based on study of UN

    • statista.com
    Updated May 2, 2023
    + more versions
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    Statista (2023). Total population in Indonesia 2010-2030 based on study of UN [Dataset]. https://www.statista.com/statistics/915255/indonesia-population-forecast-based-on-study-of-un/
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    Dataset updated
    May 2, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2010
    Area covered
    Indonesia
    Description

    The statistic shows the total population of Indonesia in 2010 with estimates up to 2030, based on the study of the United Nations. The UN forecasted that the population of Indonesia would amount to over 293 million in 2030.

  9. United States population projections for 2015-2060

    • statista.com
    Updated Dec 31, 2014
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    Statista (2014). United States population projections for 2015-2060 [Dataset]. https://www.statista.com/statistics/183481/united-states-population-projection/
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    Dataset updated
    Dec 31, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2014
    Area covered
    United States
    Description

    This graph shows population projections for the United States of America. The estimated population of the USA in 2050 is 398 million residents. Population The U.S. Census Bureau presents annual projections for the growth of the U.S. population up to the year 2060. By 2050, it is estimated that the American population will surpass 398 million citizens. The U.S. census also projects a regressing annual growth rate, starting at 0.8 percent in 2015 and decreasing to 0.46 percent by 2060.

    The UN population division publishes population projections for the entire world up to the year 2100. The United Nations also projects a regressing annual growth rate of the world population. Between 2015 and 2020, the population is expected to increase by 1.04 percent annually. Around 2060, the annual growth rate will have decreased to 0.34 percent.

  10. w

    Total population projections, subnational level (NUT2) 2011-2050 UN medium...

    • data.wu.ac.at
    download, wfs, wms
    Updated Oct 22, 2015
    + more versions
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    (2015). Total population projections, subnational level (NUT2) 2011-2050 UN medium variant [Dataset]. https://data.wu.ac.at/odso/drdsi_jrc_ec_europa_eu/OWZiNTYwOWQtNmU1Yy00MDUxLWJmYzgtOWZiMThhMTNjMThk
    Explore at:
    wfs, download, wmsAvailable download formats
    Dataset updated
    Oct 22, 2015
    Area covered
    7c5a992db139732751e9321637c3fb873af3afc1
    Description

    According with the enviroGRIDS scenarios, we analyze the UN projection variants for population, and we propose a methodology for the downscaling from national to regional level (NUTS2). Results include urban and total population trends over the period 2010-2050 for the 214 enviroGRIDS regions, consistent with BS HOT, BS ALONE, BS COOP and BS COOL scenarios. Data sources: Demographic data (total population both male and female sexes, for urban and rural areas) were collected from international organisations (UN and Eurostat), national statistical offices, and by partners contribution (Deliverable 3.1, 3.5). http://www.envirogrids.net/index.php?option=com_content&view=article&id=23&Itemid=40

  11. Forecast: world population, by continent 2100

    • statista.com
    • ai-chatbox.pro
    • +1more
    Updated Feb 13, 2025
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    Statista (2025). Forecast: world population, by continent 2100 [Dataset]. https://www.statista.com/statistics/272789/world-population-by-continent/
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    Dataset updated
    Feb 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    World
    Description

    Whereas the population is expected to decrease somewhat until 2100 in Asia, Europe, and South America, it is predicted to grow significantly in Africa. While there were 1.5 billion inhabitants on the continent at the beginning of 2024, the number of inhabitants is expected to reach 3.8 billion by 2100. In total, the global population is expected to reach nearly 10.4 billion by 2100. Worldwide population In the United States, the total population is expected to steadily increase over the next couple of years. In 2024, Asia held over half of the global population and is expected to have the highest number of people living in urban areas in 2050. Asia is home to the two most populous countries, India and China, both with a population of over one billion people. However, the small country of Monaco had the highest population density worldwide in 2021. Effects of overpopulation Alongside the growing worldwide population, there are negative effects of overpopulation. The increasing population puts a higher pressure on existing resources and contributes to pollution. As the population grows, the demand for food grows, which requires more water, which in turn takes away from the freshwater available. Concurrently, food needs to be transported through different mechanisms, which contributes to air pollution. Not every resource is renewable, meaning the world is using up limited resources that will eventually run out. Furthermore, more species will become extinct which harms the ecosystem and food chain. Overpopulation was considered to be one of the most important environmental issues worldwide in 2020.

  12. T

    Global population survey data set (1950-2018)

    • data.tpdc.ac.cn
    • tpdc.ac.cn
    zip
    Updated Sep 3, 2020
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    Wen DONG (2020). Global population survey data set (1950-2018) [Dataset]. https://data.tpdc.ac.cn/en/data/ece5509f-2a2c-4a11-976e-8d939a419a6c
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 3, 2020
    Dataset provided by
    TPDC
    Authors
    Wen DONG
    Area covered
    Description

    "Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.This dataset includes demographic data of 22 countries from 1960 to 2018, including Sri Lanka, Bangladesh, Pakistan, India, Maldives, etc. Data fields include: country, year, population ratio, male ratio, female ratio, population density (km). Source: ( 1 ) United Nations Population Division. World Population Prospects: 2019 Revision. ( 2 ) Census reports and other statistical publications from national statistical offices, ( 3 ) Eurostat: Demographic Statistics, ( 4 ) United Nations Statistical Division. Population and Vital Statistics Reprot ( various years ), ( 5 ) U.S. Census Bureau: International Database, and ( 6 ) Secretariat of the Pacific Community: Statistics and Demography Programme. Periodicity: Annual Statistical Concept and Methodology: Population estimates are usually based on national population censuses. Estimates for the years before and after the census are interpolations or extrapolations based on demographic models. Errors and undercounting occur even in high-income countries. In developing countries errors may be substantial because of limits in the transport, communications, and other resources required to conduct and analyze a full census. The quality and reliability of official demographic data are also affected by public trust in the government, government commitment to full and accurate enumeration, confidentiality and protection against misuse of census data, and census agencies' independence from political influence. Moreover, comparability of population indicators is limited by differences in the concepts, definitions, collection procedures, and estimation methods used by national statistical agencies and other organizations that collect the data. The currentness of a census and the availability of complementary data from surveys or registration systems are objective ways to judge demographic data quality. Some European countries' registration systems offer complete information on population in the absence of a census. The United Nations Statistics Division monitors the completeness of vital registration systems. Some developing countries have made progress over the last 60 years, but others still have deficiencies in civil registration systems. International migration is the only other factor besides birth and death rates that directly determines a country's population growth. Estimating migration is difficult. At any time many people are located outside their home country as tourists, workers, or refugees or for other reasons. Standards for the duration and purpose of international moves that qualify as migration vary, and estimates require information on flows into and out of countries that is difficult to collect. Population projections, starting from a base year are projected forward using assumptions of mortality, fertility, and migration by age and sex through 2050, based on the UN Population Division's World Population Prospects database medium variant."

  13. Population estimates time series dataset

    • cy.ons.gov.uk
    • ons.gov.uk
    csv, xlsx
    Updated Oct 8, 2024
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    Office for National Statistics (2024). Population estimates time series dataset [Dataset]. https://cy.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationestimates/datasets/populationestimatestimeseriesdataset
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    xlsx, csvAvailable download formats
    Dataset updated
    Oct 8, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    The mid-year estimates refer to the population on 30 June of the reference year and are produced in line with the standard United Nations (UN) definition for population estimates. They are the official set of population estimates for the UK and its constituent countries, the regions and counties of England, and local authorities and their equivalents.

  14. o

    Urban population projections in the Lower Mekong

    • data.opendevelopmentmekong.net
    Updated Mar 26, 2018
    + more versions
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    (2018). Urban population projections in the Lower Mekong [Dataset]. https://data.opendevelopmentmekong.net/dataset/urban-population-projections-in-the-lower-mekong
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    Dataset updated
    Mar 26, 2018
    License

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

    Area covered
    Mekong River
    Description

    Data is derived from country census complied by the United Nations, Department of Economic and Social Affairs, Population Division. The suggested citation of the original report is: United Nations, Department of Economic and Social Affairs, Population Division (2014). World Urbanization Prospects: The 2014 Revision, CD-ROM Edition. Further information at https://esa.un.org/unpd/wup/CD-ROM/Default.aspx

  15. Annual population by age groups (Count): UN population estimates

    • idataportal.afro.who.int
    csv
    Updated May 23, 2025
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    WHO AFRO (2025). Annual population by age groups (Count): UN population estimates [Dataset]. https://idataportal.afro.who.int/indicator/population
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 23, 2025
    Dataset provided by
    World Health Organization Regional Office for Africahttps://www.afro.who.int/
    Authors
    WHO AFRO
    Time period covered
    Jan 1, 2000 - Jan 1, 2025
    Area covered
    United Nations
    Description

    Annual population by age groups

  16. Holy See - Population Counts

    • data.amerigeoss.org
    geotiff
    Updated Jun 7, 2022
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    UN Humanitarian Data Exchange (2022). Holy See - Population Counts [Dataset]. https://data.amerigeoss.org/ne/dataset/worldpop-holy-see-population
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    geotiffAvailable download formats
    Dataset updated
    Jun 7, 2022
    Dataset provided by
    United Nationshttp://un.org/
    Area covered
    Holy See, Vatican City
    Description

    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.


    Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App.
    The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively):

    - Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020.
    - Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020.
    - Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019)
    -Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019).
    -Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets.
    -Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020.
    -Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019).

    Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent.

    Data for earlier dates is available directly from WorldPop.

    WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645

  17. SSP1 and SSP3 population projections with demographic categories

    • zenodo.org
    • data.niaid.nih.gov
    bin, nc
    Updated May 31, 2024
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    Jonathan Chambers; Jonathan Chambers (2024). SSP1 and SSP3 population projections with demographic categories [Dataset]. http://doi.org/10.5281/zenodo.11401262
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    bin, ncAvailable download formats
    Dataset updated
    May 31, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Jonathan Chambers; Jonathan Chambers
    License

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

    Description

    Demographic projections for the Shared Socioeconomic Pathways SSP1 and SSP3 scenarios with demographic breakdown for "young", "adult" and "old" populations, defined as <15 years old, 15-65 years old, and >65 years old, at 10 year intervals. Projections are calculated combining SSP population projections, UN WPP country wide demographic trends, and SEDAC demographic spatial distributions.

    The "interp" version of the files includes linear interpolationed values for each grid cell for every year.

  18. Population ages 20-24, male (% of male population). Least developed...

    • timeseriesexplorer.com
    Updated May 31, 2024
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    Time Series Explorer (2024). Population ages 20-24, male (% of male population). Least developed countries: UN classification | Population Estimates And Projections [Dataset]. https://www.timeseriesexplorer.com/6df7bfbed27951b9ca4c699e47cd5aca/0194a4ab147857138da9bfea2b1c5a40/
    Explore at:
    Dataset updated
    May 31, 2024
    Dataset provided by
    World Bankhttp://worldbank.org/
    Time Series Explorer
    Area covered
    United Nations
    Description

    SP.POP.2024.MA.5Y. Male population between the ages 20 to 24 as a percentage of the total male population. This database presents population and other demographic estimates and projections from 1960 to 2050, covering more than 200 economies. It includes population data by various age groups, sex, urban/rural; fertility data; mortality data; and migration data.

  19. o

    GHS-POP R2023A - GHS population grid multitemporal (1975-2030)

    • explore.openaire.eu
    Updated Apr 25, 2023
    + more versions
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    Marcello Schiavina; Sergio Freire; Kytt MacManus (2023). GHS-POP R2023A - GHS population grid multitemporal (1975-2030) [Dataset]. http://doi.org/10.2905/2ff68a52-5b5b-4a22-8f40-c41da8332cfe
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    Dataset updated
    Apr 25, 2023
    Authors
    Marcello Schiavina; Sergio Freire; Kytt MacManus
    Description

    The spatial raster dataset depicts the distribution of population, expressed as the number of people per cell. Residential population estimates between 1975 and 2020 in 5 years intervals and projections to 2025 and 2030 derived from CIESIN GPWv4.11 were disaggregated from census or administrative units to grid cells, informed by the distribution, density, and classification of built-up as mapped in the Global Human Settlement Layer (GHSL) global layer per corresponding epoch. This dataset is an update of the product released in 2022. Major improvements are the following: use of built-up volume maps (GHS-BUILT-V R2022A); use of more recent and detailed population estimates derived from GPWv4.11 integrating both UN World Population Prospects 2022 country population data and World Urbanisation Prospects 2018 data on Cities; revision of GPWv4.11 population growthrates by convergence to upper administrative level growthrates; systematic improvement of census coastlines; systematic revision of census units declared as unpopulated; integration of non-residential built-up volume information (GHS-BUILT-V_NRES R2023A); spatial resolution of 100m Mollweide (and 3 arcseconds in WGS84); projections to 2030.

  20. A

    China, Hong Kong Special Administrative Region - Population Counts

    • data.amerigeoss.org
    geotiff
    Updated May 26, 2023
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    UN Humanitarian Data Exchange (2023). China, Hong Kong Special Administrative Region - Population Counts [Dataset]. https://data.amerigeoss.org/ru/dataset/worldpop-china-hong-kong-special-administrative-region-population
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    geotiffAvailable download formats
    Dataset updated
    May 26, 2023
    Dataset provided by
    UN Humanitarian Data Exchange
    Area covered
    Hong Kong
    Description

    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.


    Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App.
    The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively):

    - Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020.
    - Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020.
    - Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019)
    -Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019).
    -Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets.
    -Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020.
    -Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019).

    Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent.

    Data for earlier dates is available directly from WorldPop.

    WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645

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Sara Giarola (2024). MANET: uncertainty in demographics – data on population projections [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_8312058

MANET: uncertainty in demographics – data on population projections

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Dataset updated
Aug 19, 2024
Dataset authored and provided by
Sara Giarola
License

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

Description

This is a repository of global and regional human population data collected from: the databases of scenarios assessed by the Intergovernmental Panel on Climate Change (Sixth Assessment Report, Special Report on 1.5 C; Fifth Assessment Report), multi-national databases of population projections (World Bank, International Database, United Nation population projections), and other very long-term population projections (Resources for the Future).

More specifically, it contains:

  • in other_pop_data folder files from World Bank, the International Database from the US Census, and from IHME

  • in the SSP folder, the Shared Socioeconomic Pathways, as in the version 2.0 downloaded from IIASA and as in the version 3.0 downloaded from IIASA workspace

  • in the UN folder, the demographic projections from UN

  • IAMstat.xlsx, an overview file of the metadata accompanying the scenarios present in the IPCC databases

  • RFF.csv, an overview file containing the population projections obtained by Resources For the Future

'- the remaining .csv files with names AR6#, AR5#, IAMC15# contain the IPCC scenarios assessed by the IPCC for preparing the IPCC assessment reports. They can be downloaded from AR5, SR 1.5, and AR6

This data in intended to be downloaded for use together with the package downloadable here.

The dataset was used as a supporting material for the paper "Underestimating demographic uncertainties in the synthesis process of the IPCC" accepted on npj Climate Action (DOI : 10.1038/s44168-024-00152-y).

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