100+ datasets found
  1. Countries with the largest percentage of the total population over 65 years...

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Countries with the largest percentage of the total population over 65 years 2024 [Dataset]. https://www.statista.com/statistics/264729/countries-with-the-largest-percentage-of-total-population-over-65-years/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    In 2024, Monaco was the country with the highest percentage of the total population that was over the age of 65, with ** percent. Japan had the second highest with ** percent, while Portugal and Bulgaria followed in third with ***percent.

  2. Share of population over the age of 65 in European countries 2024

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Share of population over the age of 65 in European countries 2024 [Dataset]. https://www.statista.com/statistics/1105835/share-of-elderly-population-in-europe-by-country/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Europe
    Description

    In 2024, Italy and Portugal were the European countries with the largest share of elderly population, with ** percent of the total population aged 65 years and older. Bulgaria, Finland, and Greece were the countries with the next highest shares of elderly people in their population, while the European Union on average had **** percent of the population being elderly. Iceland, Ireland, and Luxembourg had around ** percent of their population being elderly, while Türkiye and Azerbaijan had around ** percent.

  3. G

    Population ages 65 and above by country, around the world |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Oct 25, 2025
    + more versions
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    Globalen LLC (2025). Population ages 65 and above by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/elderly_population/
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    excel, xml, csvAvailable download formats
    Dataset updated
    Oct 25, 2025
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    World
    Description

    The average for 2024 based on 196 countries was 10.43 percent. The highest value was in Monaco: 36.17 percent and the lowest value was in Qatar: 1.68 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

  4. Median age of the population in the top 20 countries 2024

    • statista.com
    Updated Apr 16, 2025
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    Statista (2025). Median age of the population in the top 20 countries 2024 [Dataset]. https://www.statista.com/statistics/264727/median-age-of-the-population-in-selected-countries/
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    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    Monaco is the country with the highest median age in the world. The population has a median age of around 57 years, which is around six years more than in Japan and Saint Pierre and Miquelon – the other countries that make up the top three. Southern European countries make up a large part of the top 20, with Italy, Slovenia, Greece, San Marino, Andorra, and Croatia all making the list. Low infant mortality means higher life expectancy Monaco and Japan also have the lowest infant mortality rates in the world, which contributes to the calculation of a higher life expectancy because fewer people are dying in the first years of life. Indeed, many of the nations with a high median age also feature on the list of countries with the highest average life expectancy, such as San Marino, Japan, Italy, and Lichtenstein. Demographics of islands and small countries Many smaller countries and island nations have populations with a high median age, such as Guernsey and the Isle of Man, which are both island territories within the British Isles. An explanation for this could be that younger people leave to seek work or education opportunities, while others choose to relocate there for retirement.

  5. Share of aging population ASEAN 2040, by country

    • statista.com
    Updated Nov 10, 2021
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    Statista (2021). Share of aging population ASEAN 2040, by country [Dataset]. https://www.statista.com/statistics/713809/asean-forecast-aging-population/
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    Dataset updated
    Nov 10, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Asia
    Description

    In 2040, the percentage of the population of Singapore above the age of 65 was forecasted to reach more than ** percent. Comparatively, the share of the population older than 65 in Laos was forecasted to reach about *** percent.

  6. d

    The proportion of the elderly population in major countries

    • data.gov.tw
    csv, json
    Updated Dec 1, 2016
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    National Development Council (2016). The proportion of the elderly population in major countries [Dataset]. https://data.gov.tw/en/datasets/39497
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    csv, jsonAvailable download formats
    Dataset updated
    Dec 1, 2016
    Dataset authored and provided by
    National Development Council
    License

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

    Description

    Taiwan, Japan, South Korea, the United States, the United Kingdom, Germany, France, Norway, Sweden, the Netherlands, Switzerland, Austria, Italy, and Spain, and other countries, the historical and future estimated values of the proportion of the population aged 65 and over.

  7. Age distribution forecast of population of G7 countries 2050, by country

    • statista.com
    Updated Jul 15, 2024
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    Statista (2024). Age distribution forecast of population of G7 countries 2050, by country [Dataset]. https://www.statista.com/statistics/1372626/g7-country-age-distribution-forecast/
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    Dataset updated
    Jul 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Canada, United States, Germany
    Description

    The G7 countries are facing aging populations in the coming decades. This is especially the case in Italy and Japan, where over ** percent of the population is forecast to be 65 years or older by 2050. By 2050, all G7 countries are predicted to have a higher share of people above 65 years than people between 0 and 19 years. Japan, Italy, as well as Germany already had a higher share of older population than children and youth in 2024.

  8. Share of population over the age of 80 in European countries 2020

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Share of population over the age of 80 in European countries 2020 [Dataset]. https://www.statista.com/statistics/1235624/share-of-elderly-population-in-europe-by-country/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Europe
    Description

    In 2020, 7.4 percent of the population of Italy were over the age of 80, compared with the European Union average of 5.9 percent. By contrast, just 1.8 percent of the population of Turkey were aged over 80, the lowest share among the provided countries.

  9. F

    Age Dependency Ratio: Older Dependents to Working-Age Population for...

    • fred.stlouisfed.org
    json
    Updated Jul 2, 2025
    + more versions
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    (2025). Age Dependency Ratio: Older Dependents to Working-Age Population for Developing Countries in Europe and Central Asia [Dataset]. https://fred.stlouisfed.org/series/SPPOPDPNDOLECA
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    jsonAvailable download formats
    Dataset updated
    Jul 2, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Central Asia, Europe
    Description

    Graph and download economic data for Age Dependency Ratio: Older Dependents to Working-Age Population for Developing Countries in Europe and Central Asia (SPPOPDPNDOLECA) from 1960 to 2024 about Central Asia, working-age, ratio, Europe, and population.

  10. J

    Japan JP: Population: Total: Aged 65 and Above

    • ceicdata.com
    Updated Mar 15, 2018
    + more versions
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    CEICdata.com (2018). Japan JP: Population: Total: Aged 65 and Above [Dataset]. https://www.ceicdata.com/en/japan/population-and-urbanization-statistics/jp-population-total-aged-65-and-above
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    Dataset updated
    Mar 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
    Japan
    Variables measured
    Population
    Description

    Japan JP: Population: Total: Aged 65 and Above data was reported at 34,293,754.000 Person in 2017. This records an increase from the previous number of 33,735,537.000 Person for 2016. Japan JP: Population: Total: Aged 65 and Above data is updated yearly, averaging 13,829,440.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 34,293,754.000 Person in 2017 and a record low of 5,199,270.000 Person in 1960. Japan JP: Population: Total: Aged 65 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Population and Urbanization Statistics. Total population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2017 Revision.; Sum;

  11. EUROPEAN UNION- ELDERLY POPULATION

    • kaggle.com
    zip
    Updated Oct 2, 2020
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    Dr Dev Kambhampati (2020). EUROPEAN UNION- ELDERLY POPULATION [Dataset]. https://www.kaggle.com/devkambhampati/european-union-elderly-population
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    zip(147211 bytes)Available download formats
    Dataset updated
    Oct 2, 2020
    Authors
    Dr Dev Kambhampati
    Area covered
    European Union, Europe
    Description

    Dataset

    This dataset was created by Dr Dev Kambhampati

    Contents

    EUROPEAN UNION ELDERLY POPULATION (By Country)

  12. d

    State of Aging in Allegheny County Survey

    • catalog.data.gov
    • data.wprdc.org
    • +1more
    Updated Jan 24, 2023
    + more versions
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    University of Pittsburgh (2023). State of Aging in Allegheny County Survey [Dataset]. https://catalog.data.gov/dataset/state-of-aging-in-allegheny-county-survey
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    Dataset updated
    Jan 24, 2023
    Dataset provided by
    University of Pittsburgh
    Area covered
    Allegheny County
    Description

    For more than three decades UCSUR has documented the status of older adults in the County along multiple life domains. Every decade we issue a comprehensive report on aging in Allegheny County and this report represents our most recent effort. It documents important shifts in the demographic profile of the population in the last three decades, characterizes the current status of the elderly in multiple life domains, and looks ahead to the future of aging in the County. This report is unique in that we examine not only those aged 65 and older, but also the next generation old persons, the Baby Boomers. Collaborators on this project include the Allegheny County Area Agency on Aging, the United Way of Allegheny County, and the Aging Institute of UPMC Senior Services and the University of Pittsburgh. The purpose of this report is to provide a comprehensive analysis of aging in Allegheny County. To this end, we integrate survey data collected from a representative sample of older county residents with secondary data available from Federal, State, and County agencies to characterize older individuals on multiple dimensions, including demographic change and population projections, income, work and retirement, neighborhoods and housing, health, senior service use, transportation, volunteering, happiness and life satisfaction, among others. Since baby boomers represent the future of aging in the County we include data for those aged 55-64 as well as those aged 65 and older.

  13. 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...
  14. d

    Primary country aging index

    • data.gov.tw
    csv
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    National Development Council, Primary country aging index [Dataset]. https://data.gov.tw/en/datasets/39499
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    csvAvailable download formats
    Dataset authored and provided by
    National Development Council
    License

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

    Description

    The historical and future estimated values of the aging index for countries such as Taiwan, Japan, South Korea, the United States, the United Kingdom, Germany, France, Norway, Sweden, the Netherlands, Switzerland, Austria, Italy, and Spain.

  15. Data associated with: Overview of Aging and Dependency in Latin America and...

    • data.iadb.org
    xlsx
    Updated Apr 10, 2025
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    IDB Datasets (2025). Data associated with: Overview of Aging and Dependency in Latin America and the Caribbean [Dataset]. http://doi.org/10.60966/aadt-2641
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    xlsx(195605)Available download formats
    Dataset updated
    Apr 10, 2025
    Dataset provided by
    Inter-American Development Bankhttp://www.iadb.org/
    License

    Attribution-NonCommercial-NoDerivs 3.0 (CC BY-NC-ND 3.0)https://creativecommons.org/licenses/by-nc-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2015 - Jan 1, 2050
    Area covered
    Latin America, Caribbean
    Description

    This dataset was created to support the 2016 DIA (Related publication only available in Spanish). The accelerated aging process that countries in Latin America and the Caribbean are undergoing imposes unprecedented pressures on the long-term care sector. In this context, the growing demand for care from the elderly population occurs alongside a reduction in the availability of informal care. Governments in the region must prepare to address these pressures by supporting the provision of care services to alleviate social exclusion in old age. The Inter-American Development Bank has created an Observatory on Aging and Care — the focus of this policy brief — aimed at providing decision-makers with information to design policies based on available empirical evidence. In this initial phase, the Observatory seeks to document the demographic situation of countries in the region, the health of their elderly population, their limitations and dependency status, as well as their main socioeconomic characteristics. The goal is to estimate the care needs countries in the region will face. This brief summarizes the key findings from an initial analysis of the data. The results highlight the scale of the problem. The figures speak for themselves: in the region, 11% of the population aged 60 and older is dependent. Both the magnitude and intensity of dependency increase with age. Women are the most affected across all age groups. This policy brief is part of a series of studies on dependency care, including works by Caruso, Galiani, and Ibarrarán (2017); Medellín et al. (2018); López-Ortega (2018); and Aranco and Sorio (2018).

  16. N

    Placer County, CA Population Pyramid Dataset: Age Groups, Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
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    Neilsberg Research (2025). Placer County, CA Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/placer-county-ca-population-by-age/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Placer County, California
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Total Population for Age Groups, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the three variables, namely (a) male population, (b) female population and (b) total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the data for the Placer County, CA population pyramid, which represents the Placer County population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

    Key observations

    • Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Placer County, CA, is 28.8.
    • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Placer County, CA, is 32.6.
    • Total dependency ratio for Placer County, CA is 61.4.
    • Potential support ratio, which is the number of youth (working age population) per elderly, for Placer County, CA is 3.1.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group for the Placer County population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Placer County for the selected age group is shown in the following column.
    • Population (Female): The female population in the Placer County for the selected age group is shown in the following column.
    • Total Population: The total population of the Placer County for the selected age group is shown in the following column.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Placer County Population by Age. You can refer the same here

  17. Age distribution of population of G7 countries 2025, by country

    • statista.com
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    Statista, Age distribution of population of G7 countries 2025, by country [Dataset]. https://www.statista.com/statistics/1372598/g7-country-age-distribution/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    Canada, United States, Germany
    Description

    In Japan, ** percent of the population was 65 years or older in 2025, underlining the aging population of the country. Among the G7, Japan and Italy had a higher share of people aged 65 years. The United States had the highest share of children and youth between zero and 19 years at nearly ** percent.

  18. F

    Population ages 65 and above for Developing Countries in Sub-Saharan Africa

    • fred.stlouisfed.org
    json
    Updated Oct 8, 2025
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    (2025). Population ages 65 and above for Developing Countries in Sub-Saharan Africa [Dataset]. https://fred.stlouisfed.org/series/SPPOP65UPTOZSSSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 8, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Sub-Saharan Africa
    Description

    Graph and download economic data for Population ages 65 and above for Developing Countries in Sub-Saharan Africa (SPPOP65UPTOZSSSA) from 1960 to 2024 about Sub-Saharan Africa, 65-years +, and population.

  19. m

    ELDERLY HEALTH IN INDIA: A DISCUSSION

    • data.mendeley.com
    Updated May 26, 2022
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    Sabitri Dutta (2022). ELDERLY HEALTH IN INDIA: A DISCUSSION [Dataset]. http://doi.org/10.17632/kmvj667crv.1
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    Dataset updated
    May 26, 2022
    Authors
    Sabitri Dutta
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Area covered
    India
    Description

    The elderly population (ageing 60 above) in India is increasing and is projected to climb by 11% point between 2010 to 2050 (UNPD, 2011). Due to better living condition and improved well-being, better health care system, availability of medicines, awareness among the people the mortality rate has reduced substantially. This demography brings a new economic and social concerns afront. The present work tries to investigate the health perception, nature and status of ailment and treatment availed by this part of population in India along with their demographic profile. The database used in the study is the 71st round dataset of National Sample Survey Organisation (NSSO). The work gives a brief review of the recent policies and initiatives taken to end the health challenges faced by the ageing population. Probable policy recommendations have been made that can potentially address the health concerns of the elderly in the country.

  20. Predicting population age structures of China, India, and Vietnam by 2030...

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    Updated May 31, 2023
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    Yigang Wei; Zhichao Wang; Huiwen Wang; Yan Li; Zhenyu Jiang (2023). Predicting population age structures of China, India, and Vietnam by 2030 based on compositional data [Dataset]. http://doi.org/10.1371/journal.pone.0212772
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    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Yigang Wei; Zhichao Wang; Huiwen Wang; Yan Li; Zhenyu Jiang
    License

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

    Area covered
    Vietnam, China, India
    Description

    The changing population age structure has a significant influence on the economy, society, and numerous other aspects of a country. This paper has innovatively applied the method of compositional data forecasting for the prediction of population age changes of the young (aged 0–14), the middle-aged (aged 15–64), and the elderly (aged older than 65) in China, India, and Vietnam by 2030 based on data from 1960 to 2016. To select the best-suited forecasting model, an array of data transformation approaches and forecasting models have been extensively employed, and a large number of comparisons have been made between the aforementioned methods. The best-suited model for each country is identified considering the root mean squared error and mean absolute percent error values from the compositional data. As noted in this study, first and foremost, it is predicted that by the year 2030, China will witness the disappearance of population dividend and get mired in an aging problem far more severe than that of India or Vietnam. Second, Vietnam’s trend of change in population age structure resembles that of China, but the country will sustain its good health as a whole. Finally, the working population of India demonstrates a strong rising trend, indicating that the age structure of the Indian population still remains relatively “young”. Meanwhile, the continuous rise in the proportion of elderly population and the gradual leveling off growth of the young population have nevertheless become serious problems in the world. The present paper attempts to offer crucial insights into the Asian population size, labor market and urbanization, and, moreover, provides suggestions for a sustainable global demographic development.

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Statista (2025). Countries with the largest percentage of the total population over 65 years 2024 [Dataset]. https://www.statista.com/statistics/264729/countries-with-the-largest-percentage-of-total-population-over-65-years/
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Countries with the largest percentage of the total population over 65 years 2024

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19 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 28, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
World
Description

In 2024, Monaco was the country with the highest percentage of the total population that was over the age of 65, with ** percent. Japan had the second highest with ** percent, while Portugal and Bulgaria followed in third with ***percent.

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