100+ datasets found
  1. National population projections table of contents

    • cy.ons.gov.uk
    • ons.gov.uk
    xlsx
    Updated Jan 28, 2025
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    Office for National Statistics (2025). National population projections table of contents [Dataset]. https://cy.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationprojections/datasets/2014basednationalpopulationprojectionstableofcontents
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    xlsxAvailable download formats
    Dataset updated
    Jan 28, 2025
    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

    Tools to locate the dataset tables and supporting documentation for the 2014, 2016, 2018, 2020, 2021 and 2022-based national population projections. Contains links to the principal and (where available) variant projections for the UK and constituent countries for 100 years ahead.

  2. Population forecast of G7 countries 2024-2050, by country

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Population forecast of G7 countries 2024-2050, by country [Dataset]. https://www.statista.com/statistics/1372636/g7-country-population-forecast/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United Kingdom
    Description

    Of the G7 countries, Canada, the United Kingdom, and the United States were forecast to have a constant population ******** until 2050. In Japan, Germany, and Italy, the population is forecast to constantly ******* due to aging populations and falling fertility rates. In France, the population was first expected to decline by 2048.

  3. Forecast of the population of Africa 2100, by country

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Forecast of the population of Africa 2100, by country [Dataset]. https://www.statista.com/statistics/1236861/forecast-of-the-population-of-africa-2100-by-country/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2020
    Area covered
    Africa
    Description

    Africa's population is projected to grow significantly in the coming years. Estimates conducted in July 2020 show that Nigeria, the most populous country on the continent, would reach around *** million inhabitants by 2100. Compared to 2021, when the country counted *** million people, this would represent an impressive growth of around *** percent. The Democratic Republic of the Congo is estimated to be the second most populous nation on the African continent, reaching *** million individuals. According to the study, nine countries in Africa would exceed 100 million people by 2100.

  4. d

    Data from: West Africa Coastal Vulnerability Mapping: Population...

    • catalog.data.gov
    • earthdata.nasa.gov
    Updated Apr 24, 2025
    + more versions
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    SEDAC (2025). West Africa Coastal Vulnerability Mapping: Population Projections, 2030 and 2050 [Dataset]. https://catalog.data.gov/dataset/west-africa-coastal-vulnerability-mapping-population-projections-2030-and-2050
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    Dataset updated
    Apr 24, 2025
    Dataset provided by
    SEDAC
    Area covered
    West Africa, Africa
    Description

    The West Africa Coastal Vulnerability Mapping: Population Projections, 2030 and 2050 data set is based on an unreleased working version of the Gridded Population of the World (GPW), Version 4, year 2010 population count raster but at a coarser 5 arc-minute resolution. Bryan Jones of Baruch College produced country-level projections based on the Shared Socioeconomic Pathway 4 (SSP4). SSP4 reflects a divided world where cities that have relatively high standards of living, are attractive to internal and international migrants. In low income countries, rapidly growing rural populations live on shrinking areas of arable land due to both high population pressure and expansion of large-scale mechanized farming by international agricultural firms. This pressure induces large migration flow to the cities, contributing to fast urbanization, although urban areas do not provide many opportUnities for the poor and there is a massive expansion of slums and squatter settlements. This scenario may not be the most likely for the West Africa region, but it has internal coherence and is at least plausible.

  5. Total population forecast SEA 2035, by country

    • statista.com
    Updated Jul 3, 2025
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    Statista (2025). Total population forecast SEA 2035, by country [Dataset]. https://www.statista.com/statistics/713862/asean-forecast-total-population-by-country/
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    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Asia
    Description

    The population of Indonesia was forecasted to reach approximately 309.8 million people in 2035. The Philippines, Southeast Asia's second most populous country, was projected to reach a population of over 130 million that year.

  6. f

    Population projections for the United States

    • figshare.com
    txt
    Updated Jun 7, 2023
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    Hauer, Matthew (2023). Population projections for the United States [Dataset]. http://doi.org/10.6084/m9.figshare.19317413.v1
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    txtAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    figshare
    Authors
    Hauer, Matthew
    License

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

    Area covered
    United States
    Description

    Population projections by county for the United States consistent with the IPCC country-level population scenarios.

  7. Comparison of mid-year population estimates with projections, UK and...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jan 28, 2025
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    Comparison of mid-year population estimates with projections, UK and constituent countries [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationprojections/datasets/comparisonofmidyearpopulationestimateswithprojectionsukandconstituentcountries
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    xlsxAvailable download formats
    Dataset updated
    Jan 28, 2025
    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

    Area covered
    United Kingdom
    Description

    Comparison of mid-year population estimates with 1971-based to 2022-based national population projections for the UK and constituent countries, including measures of error.

  8. d

    Country-Level Population and Downscaled Projections Based on the SRES A1,...

    • catalog.data.gov
    • earthdata.nasa.gov
    • +1more
    Updated Apr 24, 2025
    + more versions
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    SEDAC (2025). Country-Level Population and Downscaled Projections Based on the SRES A1, B1, and A2 Scenarios, 1990-2100 [Dataset]. https://catalog.data.gov/dataset/country-level-population-and-downscaled-projections-based-on-the-sres-a1-b1-and-a2-sc-1990
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    Dataset updated
    Apr 24, 2025
    Dataset provided by
    SEDAC
    Description

    The Country-Level Population and Downscaled Projections Based on Special Report on Emissions Scenarios (SRES) A1, B1, and A2 Scenarios, 1990-2100, were adopted in 2000 from population projections realized at the International Institute for Applied Systems Analysis (IIASA) in 1996. The Intergovernmental Panel on Climate Change (IPCC) SRES A1 and B1 scenarios both used the same IIASA "rapid" fertility transition projection, which assumes low fertility and low mortality rates. The SRES A2 scenario used a corresponding IIASA "slow" fertility transition projection (high fertility and high mortality rates). Both IIASA low and high projections are performed for 13 world regions including North Africa, Sub-Saharan Africa, China and Centrally Planned Asia, Pacific Asia, Pacific OECD, Central Asia, Middle East, South Asia, Eastern Europe, European part of the former Soviet Union, Western Europe, Latin America, and North America. This data set is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).

  9. Armenia AM: Population Projection: Mid Year

    • ceicdata.com
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    CEICdata.com, Armenia AM: Population Projection: Mid Year [Dataset]. https://www.ceicdata.com/en/armenia/demographic-projection/am-population-projection-mid-year
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    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
    Jun 1, 2089 - Jun 1, 2100
    Area covered
    Armenia
    Variables measured
    Population
    Description

    Armenia AM: Population Projection: Mid Year data was reported at 1,293,680.000 Person in 2100. This records a decrease from the previous number of 1,312,746.000 Person for 2099. Armenia AM: Population Projection: Mid Year data is updated yearly, averaging 2,587,339.000 Person from Jun 1950 (Median) to 2100, with 151 observations. The data reached an all-time high of 3,655,035.000 Person in 1988 and a record low of 1,293,680.000 Person in 2100. Armenia AM: Population Projection: Mid Year data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s Armenia – Table AM.US Census Bureau: Demographic Projection.

  10. Forecast of most populated African countries 2050

    • statista.com
    • ai-chatbox.pro
    Updated Jan 31, 2024
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    Statista (2024). Forecast of most populated African countries 2050 [Dataset]. https://www.statista.com/statistics/1218419/forecast-of-most-populated-countries-in-africa/
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    Dataset updated
    Jan 31, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Africa
    Description

    The population in Africa is expected to grow by 90 percent by 2050. Among the countries forecast to be the most populated in the continent, Nigeria leads, with an estimated population of over 401 million people. Currently, the nation has already the largest number of inhabitants in Africa. The highest population growth is expected to be measured in Angola, by 143.3 percent between 2019 and 2050. The number of inhabitants in the country is forecast to jump from 31.8 million to 77.4 million in the mentioned period.

  11. Country Population and Growth Rate Analysis

    • kaggle.com
    Updated Mar 6, 2025
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    Gaurav Kumar (2025). Country Population and Growth Rate Analysis [Dataset]. https://www.kaggle.com/datasets/gauravkumar2525/country-population-and-growth-rate-analysis
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 6, 2025
    Dataset provided by
    Kaggle
    Authors
    Gaurav Kumar
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    ABOUT

    The Global Population Growth Dataset provides a comprehensive record of population trends across various countries over multiple decades. It includes detailed information such as the country name, ISO3 country code, year-wise population data, population growth, and growth rate. This dataset is valuable for researchers, demographers, policymakers, and data analysts interested in studying population dynamics, demographic trends, and economic development.

    Key features of the dataset:

    ✅ Covers multiple countries and regions worldwide
    ✅ Includes historical and recent population data
    ✅ Provides year-wise population growth and growth rate (%)
    ✅ Categorizes data by country and decade for better trend analysis

    This dataset serves as a crucial resource for analyzing global population trends, understanding demographic shifts, and supporting socio-economic research and policy-making.

    FILE INFORMATION

    The dataset consists of structured records related to country-wise population data, compiled from official sources. Each file contains information on yearly population figures, growth trends, and country-specific data. The structured format makes it useful for researchers, economists, and data scientists studying demographic patterns and changes. The file type is CSV.

    COLUMNS DESCRIPTION

    • Country – The name of the country.
    • ISO3 – The three-letter ISO code of the country.
    • Year – The year corresponding to the population data, useful for trend analysis.
    • Population – The total population of the country for the given year.
    • Population Growth – The absolute increase in population compared to the previous year.
    • Growth Rate (%) – The percentage change in population compared to the previous year.
    • Decade – The decade classification (e.g., 1990s, 2000s) for grouping long-term trends.
  12. e

    Population projections

    • en.eustat.eus
    Updated Jul 14, 2022
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    (2022). Population projections [Dataset]. en.eustat.eus/banku/id_2215/indexLista.html
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    Dataset updated
    Jul 14, 2022
    Description

    The Demographic Projections (PD) are estimations of the short- and medium-term future population, based on knowledge of demographic phenomena and using the demographic indicators of deaths, fertility and migrations. The population figures by age and sex are projected under various hypotheses called perspectives, for the Basque Country as a whole and for each of its provinces.

  13. s

    Population projections

    • pacific-data.sprep.org
    • pacificdata.org
    • +2more
    Updated Jul 13, 2025
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    SPC (2025). Population projections [Dataset]. https://pacific-data.sprep.org/dataset/population-projections
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    application/vnd.sdmx.data+csv; labels=name; version=2; charset=utf-8Available download formats
    Dataset updated
    Jul 13, 2025
    Dataset provided by
    Pacific Data Hub
    Authors
    SPC
    License

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

    Area covered
    Solomon Islands, Wallis and Futuna, Tokelau, Papua New Guinea, American Samoa, Cook Islands, Republic of the Marshall Islands, Tonga, Federated States of Micronesia, Fiji, -25.299534643708682], [160.76510144087905, 8.067902306846037], -21.061182866495955], 23.800785312492195], [217.71406099132184, [218.46807223864312, 15.902187624059707], [183.06628512535863, [182.49790833300332
    Description

    Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.

    Find more Pacific data on PDH.stat.

  14. d

    Global Population Count Grid Time Series Estimates

    • catalog.data.gov
    Updated Apr 24, 2025
    + more versions
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    SEDAC (2025). Global Population Count Grid Time Series Estimates [Dataset]. https://catalog.data.gov/dataset/global-population-count-grid-time-series-estimates
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    Dataset updated
    Apr 24, 2025
    Dataset provided by
    SEDAC
    Description

    The Global Population Count Grid Time Series Estimates provide a back-cast time series of population grids based on the year 2000 population grid from SEDAC's Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) data set. The grids were created by using rates of population change between decades from the coarser resolution History Database of the Global Environment (HYDE) database to back-cast the GRUMPv1 population count grids. Mismatches between the spatial extent of the HYDE calculated rates and GRUMPv1 population data were resolved via infilling rate cells based on a focal mean of values. Finally, the grids were adjusted so that the population totals for each country equaled the UN World Population Prospects (2008 Revision) estimates for that country for the respective year (1970, 1980, 1990, and 2000). These data do not represent census observations for the years prior to 2000, and therefore can at best be thought of as estimations of the populations in given locations. The population grids are consistent internally within the time series, but are not recommended for use in creating longer time series with any other population grids, including GRUMPv1, Gridded Population of the World, Version 4 (GPWv4), or non-SEDAC developed population grids. These population grids served as an input to SEDAC's Global Estimated Net Migration Grids by Decade: 1970-2000 data set.

  15. United States US: Population Projection: Mid Year

    • ceicdata.com
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    CEICdata.com, United States US: Population Projection: Mid Year [Dataset]. https://www.ceicdata.com/en/united-states/demographic-projection/us-population-projection-mid-year
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    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
    Jun 1, 2049 - Jun 1, 2060
    Area covered
    United States
    Variables measured
    Population
    Description

    United States US: Population Projection: Mid Year data was reported at 420,267,733.000 Person in 2060. This records an increase from the previous number of 418,161,420.000 Person for 2059. United States US: Population Projection: Mid Year data is updated yearly, averaging 295,516,599.000 Person from Jun 1950 (Median) to 2060, with 111 observations. The data reached an all-time high of 420,267,733.000 Person in 2060 and a record low of 151,868,000.000 Person in 1950. United States US: Population Projection: Mid Year data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.US Census Bureau: Demographic Projection.

  16. Z

    QuantMig microsimulation population projection model and migration scenarios...

    • data.niaid.nih.gov
    • eprints.soton.ac.uk
    • +1more
    Updated Jul 12, 2024
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    Guillaume Marois (2024). QuantMig microsimulation population projection model and migration scenarios for 31 European countries [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7728048
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    Dataset updated
    Jul 12, 2024
    Dataset provided by
    Michaela Potančoková
    Miguel Gonzalez Leonardo
    Guillaume Marois
    License

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

    Area covered
    Europe
    Description

    This open data deposit contains the data and model code of QuantMig-Mic microsimulation population projection model for 31 European countries and accompanies deliverables D8.3: Model outputs for dissemination and D8.1: Microsimulation projection model.

    This Zenodo deposit contains datasets of model input (baseline population and immigration database) and output data (demography and components output tables) and model code with parameters of the Baseline scenario (termed Default in the model code) deposited in QuantMig_mic.zip file. To view the code the users must first install MODGEN software (or can view code files in Visual Studio). All scenarios share the same parameters except the immigrant population - to change the immigration assumptions the users can import immigration assumptions for any other scenario from the ImmigDataBase.csv and change it in the immigration module using the MODGEN user interface or using Visual Studio.

    The file structure and codebook for the data files is included in the cover note file "readme_quantmig_datasets.pdf"

    Detailed information about the QuantMig-Mic microsimulation model, its modules and parameters:

    Marois, G., Potančoková, M., González-Leonardo, M. (2023) QuantMig-Mic microsimulation population projection model. QuantMig Project Deliverable D8.2. International Institute for Applied Systems Analysis (IIASA), Austria. Available at:http://quantmig.eu/res/files/QuantMig_IIASA_Deliverable%20D8.2_forsubmission_21-07-2023_corr.pdf

    Instructions how to install MODGEN can be found in:

    Marois, G. and Potančoková, M. (2022) QuantMig-mic microsimulation tool. QuantMig Project Deliverable D8.1. International Institute for Applied Systems Analysis (IIASA). http://quantmig.eu/res/files/QuantMig_IIASA_Deliverable%20D8.1%20v1.1.pdf

    Detailed information about the QuantMig migration scenarios can be found in:

    Marois, G., Potančoková, M., González-Leonardo, M. (2023) QuantMig-Mic microsimulation population projection model. QuantMig Project Deliverable D8.2. International Institute for Applied Systems Analysis (IIASA), Austria. Available at:http://quantmig.eu/res/files/QuantMig_IIASA_Deliverable%20D8.2_forsubmission_21-07-2023_corr.pdf

    A guide to the datasets and the codebook can be found in: readme_quantmig_datasets.pdf

    Countries included in the model:

    Austria, Belgium, Bulgaria, Croatia, Czechia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, United Kingdom

  17. Projected world population distribution, by age group 2024-2100

    • statista.com
    Updated Feb 14, 2025
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    Statista (2025). Projected world population distribution, by age group 2024-2100 [Dataset]. https://www.statista.com/statistics/672546/projected-world-population-distribution-by-age-group/
    Explore at:
    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    World
    Description

    Until 2100, the world's population is expected to be ageing. Whereas people over 60 years made up less than 13 percent of the world's population in 2024, this share is estimated to reach 28.8 percent in 2100. On the other hand, the share of people between zero and 14 years was expected to decrease by almost ten percentage points over the same period.

  18. T

    World - Population Growth (annual %)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 23, 2013
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    TRADING ECONOMICS (2013). World - Population Growth (annual %) [Dataset]. https://tradingeconomics.com/world/population-growth-annual-percent-wb-data.html
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    xml, json, excel, csvAvailable download formats
    Dataset updated
    Jul 23, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

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

    Population growth (annual %) in World was reported at 0.9512 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Population growth (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  19. 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
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    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."

  20. Gross Rate of Emigration to foreign countries per year

    • ine.es
    csv, html, json +4
    Updated Jun 24, 2024
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    INE - Instituto Nacional de Estadística (2024). Gross Rate of Emigration to foreign countries per year [Dataset]. https://www.ine.es/jaxiT3/Tabla.htm?t=36673&L=1
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    text/pc-axis, html, csv, json, txt, xlsx, xlsAvailable download formats
    Dataset updated
    Jun 24, 2024
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Time period covered
    Jan 1, 2024 - Jan 1, 2073
    Variables measured
    Type of data, Regional totals, Demographic Concepts
    Description

    Population Projections: Gross Rate of Emigration to foreign countries per year. Annual. National.

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Office for National Statistics (2025). National population projections table of contents [Dataset]. https://cy.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationprojections/datasets/2014basednationalpopulationprojectionstableofcontents
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National population projections table of contents

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8 scholarly articles cite this dataset (View in Google Scholar)
xlsxAvailable download formats
Dataset updated
Jan 28, 2025
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

Tools to locate the dataset tables and supporting documentation for the 2014, 2016, 2018, 2020, 2021 and 2022-based national population projections. Contains links to the principal and (where available) variant projections for the UK and constituent countries for 100 years ahead.

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