100+ datasets found
  1. International Datasets

    • kaggle.com
    zip
    Updated Jun 27, 2017
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    US Census Bureau (2017). International Datasets [Dataset]. https://www.kaggle.com/census/international-data
    Explore at:
    zip(853301245 bytes)Available download formats
    Dataset updated
    Jun 27, 2017
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    US Census Bureau
    Description

    Content

    The United States Census Bureau’s International Dataset provides estimates of country populations since 1950 and projections through 2050. Specifically, the data set includes midyear population figures broken down by age and gender assignment at birth. Additionally, they provide time-series data for attributes including fertility rates, birth rates, death rates, and migration rates.

    The full documentation is available here. For basic field details, please see the data dictionary.

    Note: The U.S. Census Bureau provides estimates and projections for countries and areas that are recognized by the U.S. Department of State that have a population of at least 5,000.

    Acknowledgements

    This dataset was created by the United States Census Bureau.

    Inspiration

    Which countries have made the largest improvements in life expectancy? Based on current trends, how long will it take each country to catch up to today’s best performers?

    Use this dataset with BigQuery

    You can use Kernels to analyze, share, and discuss this data on Kaggle, but if you’re looking for real-time updates and bigger data, check out the data on BigQuery, too: https://cloud.google.com/bigquery/public-data/international-census.

  2. U

    United States US: Fertility Rate: Total: Births per Woman

    • ceicdata.com
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    CEICdata.com, United States US: Fertility Rate: Total: Births per Woman [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-fertility-rate-total-births-per-woman
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    United States
    Description

    United States US: Fertility Rate: Total: Births per Woman data was reported at 1.800 Ratio in 2016. This records a decrease from the previous number of 1.843 Ratio for 2015. United States US: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 2.002 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 3.654 Ratio in 1960 and a record low of 1.738 Ratio in 1976. United States US: Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 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.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

  3. m

    Fertility_Rate - Costa Rica

    • macro-rankings.com
    csv, excel
    Updated Mar 16, 2023
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    macro-rankings (2023). Fertility_Rate - Costa Rica [Dataset]. https://www.macro-rankings.com/selected-country-rankings/fertility-rate/costa-rica
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Mar 16, 2023
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    Costa Rica
    Description

    Time series data for the statistic Fertility_Rate and country Costa Rica. Indicator Definition:Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.The statistic "Fertility Rate" stands at 1.33 births per woman as of 12/31/2023, the lowest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.3745 percent compared to the value the year prior.The 1 year change in percent is -0.3745.The 3 year change in percent is -8.15.The 5 year change in percent is -22.04.The 10 year change in percent is -25.24.The Serie's long term average value is 3.21 births per woman. It's latest available value, on 12/31/2023, is 58.62 percent lower, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is +0.0%.The Serie's change in percent from it's maximum value, on 12/31/1960, to it's latest available value, on 12/31/2023, is -80.18%.

  4. Infant Mortality, Fertility, Income

    • kaggle.com
    zip
    Updated Jun 28, 2018
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    Burhan Y. Kiyakoglu (2018). Infant Mortality, Fertility, Income [Dataset]. https://www.kaggle.com/burhanykiyakoglu/infant-mortality-fertility-income
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    zip(321120 bytes)Available download formats
    Dataset updated
    Jun 28, 2018
    Authors
    Burhan Y. Kiyakoglu
    License

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

    Description

    Content

    This dataset contains adjusted net national income per capita, infant mortality and total fertility rates between 1970 and 2016. It was composed by the datasets taken from the World Bank Data Catalog.

    Columns

    Country Name

    Country Code

    Region

    m1970, ..., m2016: Mortality rate, infant (per 1,000 live births) between 1970 and 2016

    i1970, ..., i2016: Adjusted net national income per capita (current US$) between 1970 and 2016

    f1970, ..., f2016: Fertility rate, total (births per woman) between 1970 and 2016

    Acknowledgements

    Many thanks to the World Bank Data Catalog (https://datacatalog.worldbank.org/) for sharing numarous organized datasets with us.

    Inspiration

    Infant mortality, fertility and income per capita are key indicators of a country's population growth and level of development. At first sigh, we all think that these three parameters are highly correlated. So, is that true? Which countries and regions have high and low infant mortality and income per capita? What is the general trend for the parameters between different years?

  5. m

    Fertility_Rate - Bahamas, The

    • macro-rankings.com
    csv, excel
    Updated Mar 16, 2023
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    macro-rankings (2023). Fertility_Rate - Bahamas, The [Dataset]. https://www.macro-rankings.com/selected-country-rankings/fertility-rate/bahamas
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Mar 16, 2023
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    The Bahamas
    Description

    Time series data for the statistic Fertility_Rate and country Bahamas, The. Indicator Definition:Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.The statistic "Fertility Rate" stands at 1.37 births per woman as of 12/31/2023, the lowest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.4351 percent compared to the value the year prior.The 1 year change in percent is -0.4351.The 3 year change in percent is -0.938.The 5 year change in percent is -2.21.The 10 year change in percent is -21.00.The Serie's long term average value is 2.75 births per woman. It's latest available value, on 12/31/2023, is 50.13 percent lower, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is +0.0%.The Serie's change in percent from it's maximum value, on 12/31/1961, to it's latest available value, on 12/31/2023, is -73.37%.

  6. Table_1_Sociodemographic Indicators of Birth Rate in a Low Fertility...

    • frontiersin.figshare.com
    docx
    Updated Jun 8, 2023
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    Petteri Oura (2023). Table_1_Sociodemographic Indicators of Birth Rate in a Low Fertility Country–A Nationwide Study of 310 Finnish Municipalities Covering > 5,000,000 Inhabitants.DOCX [Dataset]. http://doi.org/10.3389/fpubh.2021.643561.s001
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    docxAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Petteri Oura
    License

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

    Area covered
    Finland
    Description

    Background and Aims: Declining fertility is a key driver behind the rapid aging of populations worldwide. Finland has experienced a 25% decline in fertility from 2010 to date and ranks low even on the European and Nordic scales. This study aimed to address the association between sociodemographic indicators and birth rate (i.e., live births relative to total population) in Finland.Methods: Open data on 310 Finnish municipalities were retrieved from the public database of Statistics Finland. Several sociodemographic subdimensions (population structure, education and income, location and living, divorces, car ownership rate, and crime rate), each converted to standard deviation units, were modeled against birth rate at the municipality level using generalized estimating equations.Results: In this dataset, average annual birth rate was 8.8 per 1,000 individuals. Birth rate was positively associated with change in population size (rate ratio 1.06, 95% confidence interval 1.04−1.08), percentage of

  7. U

    United States Total Fertility Rate: White

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). United States Total Fertility Rate: White [Dataset]. https://www.ceicdata.com/en/united-states/fertility-rate/total-fertility-rate-white
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    Dataset updated
    Oct 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    United States
    Variables measured
    Vital Statistics
    Description

    United States Total Fertility Rate: White data was reported at 1,532.500 % in 2023. This records a decrease from the previous number of 1,568.000 % for 2022. United States Total Fertility Rate: White data is updated yearly, averaging 1,947.500 % from Dec 1985 (Median) to 2023, with 39 observations. The data reached an all-time high of 2,137.000 % in 2007 and a record low of 21.000 % in 2009. United States Total Fertility Rate: White data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G013: Fertility Rate.

  8. S

    Sweden SE: Fertility Rate: Total: Births per Woman

    • ceicdata.com
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    CEICdata.com, Sweden SE: Fertility Rate: Total: Births per Woman [Dataset]. https://www.ceicdata.com/en/sweden/health-statistics/se-fertility-rate-total-births-per-woman
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Sweden
    Description

    Sweden SE: Fertility Rate: Total: Births per Woman data was reported at 1.850 Ratio in 2016. This stayed constant from the previous number of 1.850 Ratio for 2015. Sweden SE: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.870 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 2.470 Ratio in 1964 and a record low of 1.500 Ratio in 1999. Sweden SE: Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sweden – Table SE.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 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.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

  9. S

    Switzerland CH: Fertility Rate: Total: Births per Woman

    • ceicdata.com
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    CEICdata.com, Switzerland CH: Fertility Rate: Total: Births per Woman [Dataset]. https://www.ceicdata.com/en/switzerland/health-statistics/ch-fertility-rate-total-births-per-woman
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Switzerland
    Description

    Switzerland Fertility Rate: Total: Births per Woman data was reported at 1.540 Ratio in 2016. This stayed constant from the previous number of 1.540 Ratio for 2015. Switzerland Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.530 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 2.660 Ratio in 1964 and a record low of 1.380 Ratio in 2001. Switzerland Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Switzerland – Table CH.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 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.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

  10. T

    Thailand TH: Fertility Rate: Total: Births per Woman

    • ceicdata.com
    Updated Sep 15, 2021
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    CEICdata.com (2021). Thailand TH: Fertility Rate: Total: Births per Woman [Dataset]. https://www.ceicdata.com/en/thailand/health-statistics/th-fertility-rate-total-births-per-woman
    Explore at:
    Dataset updated
    Sep 15, 2021
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Thailand
    Description

    Thailand TH: Fertility Rate: Total: Births per Woman data was reported at 1.482 Ratio in 2016. This records a decrease from the previous number of 1.498 Ratio for 2015. Thailand TH: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 2.256 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 6.157 Ratio in 1963 and a record low of 1.482 Ratio in 2016. Thailand TH: Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Thailand – Table TH.World Bank.WDI: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 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.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

  11. R

    Romania RO: Fertility Rate: Total: Births per Woman

    • ceicdata.com
    Updated Sep 15, 2025
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    CEICdata.com (2025). Romania RO: Fertility Rate: Total: Births per Woman [Dataset]. https://www.ceicdata.com/en/romania/health-statistics/ro-fertility-rate-total-births-per-woman
    Explore at:
    Dataset updated
    Sep 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Romania
    Description

    Romania RO: Fertility Rate: Total: Births per Woman data was reported at 1.580 Ratio in 2016. This stayed constant from the previous number of 1.580 Ratio for 2015. Romania RO: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.910 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 3.660 Ratio in 1967 and a record low of 1.270 Ratio in 2002. Romania RO: Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Romania – Table RO.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 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.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

  12. Female Employment Reduces Fertility in Rural Senegal

    • figshare.com
    bin
    Updated Jun 1, 2023
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    Goedele Van den Broeck; Miet Maertens (2023). Female Employment Reduces Fertility in Rural Senegal [Dataset]. http://doi.org/10.1371/journal.pone.0122086
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    binAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Goedele Van den Broeck; Miet Maertens
    License

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

    Area covered
    Senegal
    Description

    Economic growth and modernization of society are generally associated with fertility rate decreases but which forces trigger this is unclear. In this paper we assess how fertility changes with increased labor market participation of women in rural Senegal. Evidence from high-income countries suggests that higher female employment rates lead to reduced fertility rates but evidence from developing countries at an early stage of demographic transition is largely absent. We concentrate on a rural area in northern Senegal where a recent boom in horticultural exports has been associated with a sudden increase in female off-farm employment. Using survey data we show that employed women have a significantly higher age at marriage and at first childbirth, and significantly fewer children. As causal identification strategy we use instrumental variable and difference-in-differences estimations, combined with propensity score matching. We find that female employment reduces the number of children per woman by 25%, and that this fertility-reducing effect is as large for poor as for non-poor women and larger for illiterate than for literate women. Results imply that female employment is a strong instrument for empowering rural women, reducing fertility rates and accelerating the demographic transition in poor countries. The effectiveness of family planning programs can increase if targeted to areas where female employment is increasing or to female employees directly because of a higher likelihood to reach women with low-fertility preferences. Our results show that changes in fertility preferences not necessarily result from a cultural evolution but can also be driven by sudden and individual changes in economic opportunities.

  13. m

    Fertility_Rate - Nauru

    • macro-rankings.com
    csv, excel
    Updated Mar 16, 2023
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    macro-rankings (2023). Fertility_Rate - Nauru [Dataset]. https://www.macro-rankings.com/selected-country-rankings/fertility-rate/nauru
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Mar 16, 2023
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    Nauru
    Description

    Time series data for the statistic Fertility_Rate and country Nauru. Indicator Definition:Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.The statistic "Fertility Rate" stands at 3.33 births per woman as of 12/31/2023, the lowest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -1.42 percent compared to the value the year prior.The 1 year change in percent is -1.42.The 3 year change in percent is -3.89.The 5 year change in percent is -9.56.The 10 year change in percent is -18.72.The Serie's long term average value is 4.09 births per woman. It's latest available value, on 12/31/2023, is 18.55 percent lower, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is +0.0%.The Serie's change in percent from it's maximum value, on 12/31/1965, to it's latest available value, on 12/31/2023, is -39.17%.

  14. U

    United Kingdom UK: Fertility Rate: Total: Births per Woman

    • ceicdata.com
    Updated Jun 15, 2018
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    CEICdata.com (2018). United Kingdom UK: Fertility Rate: Total: Births per Woman [Dataset]. https://www.ceicdata.com/en/united-kingdom/health-statistics/uk-fertility-rate-total-births-per-woman
    Explore at:
    Dataset updated
    Jun 15, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    United Kingdom
    Description

    United Kingdom UK: Fertility Rate: Total: Births per Woman data was reported at 1.800 Ratio in 2016. This stayed constant from the previous number of 1.800 Ratio for 2015. United Kingdom UK: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.820 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 2.930 Ratio in 1964 and a record low of 1.630 Ratio in 2002. United Kingdom UK: Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s UK – Table UK.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 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.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

  15. Z

    Data from: A flexible model to reconstruct education-specific fertility...

    • data.niaid.nih.gov
    • data-staging.niaid.nih.gov
    • +1more
    Updated Aug 11, 2023
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    Yildiz, Dilek; Wiśniowski, Arkadiusz; Brzozowska, Zuzanna; Durowaa-Boateng, Afua (2023). A flexible model to reconstruct education-specific fertility rates: Sub-saharan Africa case study [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_6645335
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    Dataset updated
    Aug 11, 2023
    Dataset provided by
    University of Manchester
    International Institute for Applie Systems Analysis
    Vienna Institute of Demography
    Authors
    Yildiz, Dilek; Wiśniowski, Arkadiusz; Brzozowska, Zuzanna; Durowaa-Boateng, Afua
    Area covered
    Africa, Sub-Saharan Africa
    Description

    A flexible model to reconstruct education-specific fertility rates: Sub-saharan Africa case study

    The fertility rates are consistent with the United Nation World Population Prospects (UN WPP) 2022 fertility rates.

    The Bayesian model developed to reconstruct the fertility rates using Demographic and Health Surveys and the UN WPP is published in a working paper.

    Abstract

    The future world population growth and size will be largely determined by the pace of fertility decline in sub-Saharan Africa. Correct estimates of education-specific fertility rates are crucial for projecting the future population. Yet, consistent cross-country comparable estimates of education-specific fertility for sub-Saharan African countries are still lacking. We propose a flexible Bayesian hierarchical model to reconstruct education-specific fertility rates by using the patchy Demographic and Health Surveys (DHS) data and the United Nations’ (UN) reliable estimates of total fertility rates (TFR). Our model produces estimates that match the UN TFR to different extents (in other words, estimates of varying levels of consistency with the UN). We present three model specifications: consistent but not identical with the UN, fully-consistent (nearly identical) with the UN, and consistent with the DHS. Further, we provide a full time series of education-specific TFR estimates covering five-year periods between 1980 and 2014 for 36 sub-Saharan African countries. The results show that the DHS-consistent estimates are usually higher than the UN-fully-consistent ones. The differences between the three model estimates vary substantially in size across countries, yielding 1980-2014 fertility trends that differ from each other mostly in level only but in some cases also in direction.

    Funding

    The data set are part of the BayesEdu Project at Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, University of Vienna) funded from the “Innovation Fund Research, Science and Society” by the Austrian Academy of Sciences (ÖAW).

    We provide education-specific total fertility rates (ESTFR) from three model specifications: (1) estimated TFR consistent but not identical with the TFR estimated by the UN (“Main model (UN-consistent)”; (2) estimated TFR fully consistent (nearly identical) with the TFR estimated by the UN ( “UN-fully -consistent”, and (3) estimated TFR consistent only with the TFR estimated by the DHS ( “DHS-consistent”).

    For education- and age-specific fertility rates that are UN-fully consistent, please see https://doi.org/10.5281/zenodo.8182960

    Variables

    Country: Country names

    Education: Four education levels, No Education, Primary Education, Secondary Education and Higher Education.

    Year: Five-year periods between 1980 and 2015.

    ESTFR: Median education-specific total fertility rate estimate

    sd: Standard deviation

    Upp50: 50% Upper Credible Interval

    Lwr50: 50% Lower Credible Interval

    Upp80: 80% Upper Credible Interval

    Lwr80: 80% Lower Credible Interval

    Model: Three model specifications as explained above and in the working paper. DHS-consistent, Main model (UN-consistent) and UN-fully consistent.

    List of countries:

    Angola, Benin, Burkina Faso, Burundi, Cote D'Ivoire, Cameroon, Central African Republic, Chad, Comoros, Congo, Democratic Republic of Congo, Eswatini, Ethiopia, Gabon, Gambia, Ghana, Guinea, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mali, Mozambique, Namibia, Niger, Nigeria, Rwanda, Senegal, Sierra Leone, South Africa, Tanzania, Togo, Uganda, Zambia, Zimbabwe

  16. World Statistics dataset from World Bank

    • kaggle.com
    zip
    Updated Nov 22, 2020
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    Dr_statistics (2020). World Statistics dataset from World Bank [Dataset]. https://www.kaggle.com/datasets/mutindafestus/world-statistics-dataset-from-world-bank/code
    Explore at:
    zip(2862682 bytes)Available download formats
    Dataset updated
    Nov 22, 2020
    Authors
    Dr_statistics
    License

    https://www.worldbank.org/en/about/legal/terms-of-use-for-datasetshttps://www.worldbank.org/en/about/legal/terms-of-use-for-datasets

    Area covered
    World
    Description

    Context

    There's a story behind every dataset and here's your opportunity to share yours.

    Content

    This Data consists of some world statistics published by the World Bank since 1961

    Variables:

    1) Agriculture and Rural development - 42 indicators published on this website. https://data.worldbank.org/topic/agriculture-and-rural-development

    2) Access to electricity (% of the population) - Access to electricity is the percentage of the population with access to electricity. Electrification data are collected from industry, national surveys, and international sources.

    3) CPIA gender equality rating (1=low to 6=high) - Gender equality assesses the extent to which the country has installed institutions and programs to enforce laws and policies that promote equal access for men and women in education, health, the economy, and protection under law.

    4) Mineral rents (% of GDP) - Mineral rents are the difference between the value of production for a stock of minerals at world prices and their total costs of production. Minerals included in the calculation are tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosphate.

    5) GDP per capita (current US$) - GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars.

    6) Literacy rate, adult total (% of people ages 15 and above)- Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.

    7) Net migration - Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates.

    8) Birth rate, crude (per 1,000 people) - Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.

    9) Death rate, crude (per 1,000 people) - Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.

    10) Mortality rate, infant (per 1,000 live births) - Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.

    11) Population, total - 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.

    Acknowledgements

    These datasets are publicly available for anyone to use under the following terms provided by the Dataset Source https://www.worldbank.org/en/about/legal/terms-of-use-for-datasets

    Banner photo by https://population.un.org/wpp/Maps/

    Inspiration

    Subsaharan Africa and east Asia record high population total, actually Subsaharan Africa population bypassed Europe and central Asia population by 2010, has this been influenced by crop and food production, large arable land, high crude birth rates(influx), low mortality rates(exits from the population) or Net migration.

  17. M

    Macau SAR, China MO: Fertility Rate: Total: Births per Woman

    • ceicdata.com
    Updated May 3, 2018
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    CEICdata.com (2018). Macau SAR, China MO: Fertility Rate: Total: Births per Woman [Dataset]. https://www.ceicdata.com/en/macau/health-statistics/mo-fertility-rate-total-births-per-woman
    Explore at:
    Dataset updated
    May 3, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Macao
    Description

    Macau MO: Fertility Rate: Total: Births per Woman data was reported at 1.311 Ratio in 2016. This records an increase from the previous number of 1.280 Ratio for 2015. Macau MO: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.499 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 4.772 Ratio in 1960 and a record low of 0.827 Ratio in 2004. Macau MO: Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Macau SAR – Table MO.World Bank.WDI: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 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.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

  18. World Population Live Dataset 2022

    • kaggle.com
    zip
    Updated Sep 10, 2022
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    Aman Chauhan (2022). World Population Live Dataset 2022 [Dataset]. https://www.kaggle.com/datasets/whenamancodes/world-population-live-dataset/code
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    zip(10169 bytes)Available download formats
    Dataset updated
    Sep 10, 2022
    Authors
    Aman Chauhan
    License

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

    Area covered
    World
    Description

    The current US Census Bureau world population estimate in June 2019 shows that the current global population is 7,577,130,400 people on earth, which far exceeds the world population of 7.2 billion from 2015. Our own estimate based on UN data shows the world's population surpassing 7.7 billion.

    China is the most populous country in the world with a population exceeding 1.4 billion. It is one of just two countries with a population of more than 1 billion, with India being the second. As of 2018, India has a population of over 1.355 billion people, and its population growth is expected to continue through at least 2050. By the year 2030, the country of India is expected to become the most populous country in the world. This is because India’s population will grow, while China is projected to see a loss in population.

    The next 11 countries that are the most populous in the world each have populations exceeding 100 million. These include the United States, Indonesia, Brazil, Pakistan, Nigeria, Bangladesh, Russia, Mexico, Japan, Ethiopia, and the Philippines. Of these nations, all are expected to continue to grow except Russia and Japan, which will see their populations drop by 2030 before falling again significantly by 2050.

    Many other nations have populations of at least one million, while there are also countries that have just thousands. The smallest population in the world can be found in Vatican City, where only 801 people reside.

    In 2018, the world’s population growth rate was 1.12%. Every five years since the 1970s, the population growth rate has continued to fall. The world’s population is expected to continue to grow larger but at a much slower pace. By 2030, the population will exceed 8 billion. In 2040, this number will grow to more than 9 billion. In 2055, the number will rise to over 10 billion, and another billion people won’t be added until near the end of the century. The current annual population growth estimates from the United Nations are in the millions - estimating that over 80 million new lives are added each year.

    This population growth will be significantly impacted by nine specific countries which are situated to contribute to the population growth more quickly than other nations. These nations include the Democratic Republic of the Congo, Ethiopia, India, Indonesia, Nigeria, Pakistan, Uganda, the United Republic of Tanzania, and the United States of America. Particularly of interest, India is on track to overtake China's position as the most populous country by the year 2030. Additionally, multiple nations within Africa are expected to double their populations before fertility rates begin to slow entirely.

    Global life expectancy has also improved in recent years, increasing the overall population life expectancy at birth to just over 70 years of age. The projected global life expectancy is only expected to continue to improve - reaching nearly 77 years of age by the year 2050. Significant factors impacting the data on life expectancy include the projections of the ability to reduce AIDS/HIV impact, as well as reducing the rates of infectious and non-communicable diseases.

    Population aging has a massive impact on the ability of the population to maintain what is called a support ratio. One key finding from 2017 is that the majority of the world is going to face considerable growth in the 60 plus age bracket. This will put enormous strain on the younger age groups as the elderly population is becoming so vast without the number of births to maintain a healthy support ratio.

    Although the number given above seems very precise, it is important to remember that it is just an estimate. It simply isn't possible to be sure exactly how many people there are on the earth at any one time, and there are conflicting estimates of the global population in 2016.

    Some, including the UN, believe that a population of 7 billion was reached in October 2011. Others, including the US Census Bureau and World Bank, believe that the total population of the world reached 7 billion in 2012, around March or April.

    ColumnsDescription
    CCA33 Digit Country/Territories Code
    NameName of the Country/Territories
    2022Population of the Country/Territories in the year 2022.
    2020Population of the Country/Territories in the year 2020.
    2015Population of the Country/Territories in the year 2015.
    2010Population of the Country/Territories in the year 2010.
    2000Population of the Country/Territories in the year 2000.
    1990Population of the Country/Territories in the year 1990.
    1980Population of the Country/Territories in the year 1980.
    1970Population of the Country/Territories in the year 1970.
    Area (km²)Area size of the Country/Territories in square kilometer.
    Density (per km²)Population Density per square kilometer.
    Grow...
  19. M

    Mali ML: Fertility Rate: Total: Births per Woman

    • ceicdata.com
    Updated Jun 29, 2018
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    CEICdata.com (2018). Mali ML: Fertility Rate: Total: Births per Woman [Dataset]. https://www.ceicdata.com/en/mali/health-statistics/ml-fertility-rate-total-births-per-woman
    Explore at:
    Dataset updated
    Jun 29, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Mali
    Description

    Mali ML: Fertility Rate: Total: Births per Woman data was reported at 6.057 Ratio in 2016. This records a decrease from the previous number of 6.145 Ratio for 2015. Mali ML: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 7.070 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 7.165 Ratio in 1990 and a record low of 6.057 Ratio in 2016. Mali ML: Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mali – Table ML.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 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.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

  20. world_population

    • kaggle.com
    zip
    Updated Feb 8, 2023
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    farzam ajili (2023). world_population [Dataset]. https://www.kaggle.com/datasets/farzamajili/world-population
    Explore at:
    zip(16061 bytes)Available download formats
    Dataset updated
    Feb 8, 2023
    Authors
    farzam ajili
    Area covered
    World
    Description

    Context The current US Census Bureau world population estimate in June 2019 shows that the current global population is 7,577,130,400 people on earth, which far exceeds the world population of 7.2 billion in 2015. Our own estimate based on UN data shows the world's population surpassing 7.7 billion.

    China is the most populous country in the world with a population exceeding 1.4 billion. It is one of just two countries with a population of more than 1 billion, with India being the second. As of 2018, India has a population of over 1.355 billion people, and its population growth is expected to continue through at least 2050. By the year 2030, the country of India is expected to become the most populous country in the world. This is because India’s population will grow, while China is projected to see a loss in population.

    The following 11 countries that are the most populous in the world each have populations exceeding 100 million. These include the United States, Indonesia, Brazil, Pakistan, Nigeria, Bangladesh, Russia, Mexico, Japan, Ethiopia, and the Philippines. Of these nations, all are expected to continue to grow except Russia and Japan, which will see their populations drop by 2030 before falling again significantly by 2050.

    Many other nations have populations of at least one million, while there are also countries that have just thousands. The smallest population in the world can be found in Vatican City, where only 801 people reside.

    In 2018, the world’s population growth rate was 1.12%. Every five years since the 1970s, the population growth rate has continued to fall. The world’s population is expected to continue to grow larger but at a much slower pace. By 2030, the population will exceed 8 billion. In 2040, this number will grow to more than 9 billion. In 2055, the number will rise to over 10 billion, and another billion people won’t be added until near the end of the century. The current annual population growth estimates from the United Nations are in the millions - estimating that over 80 million new lives are added each year.

    This population growth will be significantly impacted by nine specific countries which are situated to contribute to the population growing more quickly than other nations. These nations include the Democratic Republic of the Congo, Ethiopia, India, Indonesia, Nigeria, Pakistan, Uganda, the United Republic of Tanzania, and the United States of America. Particularly of interest, India is on track to overtake China's position as the most populous country by 2030. Additionally, multiple nations within Africa are expected to double their populations before fertility rates begin to slow entirely.

    Content In this Dataset, we have Historical Population data for every Country/Territory in the world by different parameters like Area Size of the Country/Territory, Name of the Continent, Name of the Capital, Density, Population Growth Rate, Ranking based on Population, World Population Percentage, etc.

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US Census Bureau (2017). International Datasets [Dataset]. https://www.kaggle.com/census/international-data
Organization logo

International Datasets

International health and population metrics

Explore at:
zip(853301245 bytes)Available download formats
Dataset updated
Jun 27, 2017
Dataset provided by
United States Census Bureauhttp://census.gov/
Authors
US Census Bureau
Description

Content

The United States Census Bureau’s International Dataset provides estimates of country populations since 1950 and projections through 2050. Specifically, the data set includes midyear population figures broken down by age and gender assignment at birth. Additionally, they provide time-series data for attributes including fertility rates, birth rates, death rates, and migration rates.

The full documentation is available here. For basic field details, please see the data dictionary.

Note: The U.S. Census Bureau provides estimates and projections for countries and areas that are recognized by the U.S. Department of State that have a population of at least 5,000.

Acknowledgements

This dataset was created by the United States Census Bureau.

Inspiration

Which countries have made the largest improvements in life expectancy? Based on current trends, how long will it take each country to catch up to today’s best performers?

Use this dataset with BigQuery

You can use Kernels to analyze, share, and discuss this data on Kaggle, but if you’re looking for real-time updates and bigger data, check out the data on BigQuery, too: https://cloud.google.com/bigquery/public-data/international-census.

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