100+ datasets found
  1. U.S. seniors as a percentage of the total population 1950-2050

    • statista.com
    Updated Apr 19, 2023
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    Statista (2023). U.S. seniors as a percentage of the total population 1950-2050 [Dataset]. https://www.statista.com/statistics/457822/share-of-old-age-population-in-the-total-us-population/
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    Dataset updated
    Apr 19, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, about 17.7 percent of the American population was 65 years old or over; an increase from the last few years and a figure which is expected to reach 22.8 percent by 2050. This is a significant increase from 1950, when only eight percent of the population was 65 or over. A rapidly aging population In recent years, the aging population of the United States has come into focus as a cause for concern, as the nature of work and retirement is expected to change to keep up. If a population is expected to live longer than the generations before, the economy will have to change as well to fulfill the needs of the citizens. In addition, the birth rate in the U.S. has been falling over the last 20 years, meaning that there are not as many young people to replace the individuals leaving the workforce. The future population It’s not only the American population that is aging -- the global population is, too. By 2025, the median age of the global workforce is expected to be 39.6 years, up from 33.8 years in 1990. Additionally, it is projected that there will be over three million people worldwide aged 100 years and over by 2050.

  2. F

    Population ages 65 and above for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 2, 2025
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    (2025). Population ages 65 and above for the United States [Dataset]. https://fred.stlouisfed.org/series/SPPOP65UPTOZSUSA
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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
    United States
    Description

    Graph and download economic data for Population ages 65 and above for the United States (SPPOP65UPTOZSUSA) from 1960 to 2024 about 65-years +, population, and USA.

  3. Senior population aged 65 years and over in the U.S. 2024, by state

    • statista.com
    Updated Jun 15, 2025
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    Statista (2025). Senior population aged 65 years and over in the U.S. 2024, by state [Dataset]. https://www.statista.com/statistics/301935/us-population-aged-65-years-and-over-by-state/
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    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    In 2024, an estimated *** million seniors aged 65 years or older were living in California. This was the highest figures among U.S. states. It was followed by Florida, Texas, New York, and Pennsylvania rounded out the top five states with the largest population of residents aged 65 and over.

  4. Share of health insurance coverage among U.S. elderly population in 2023, by...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Share of health insurance coverage among U.S. elderly population in 2023, by coverage [Dataset]. https://www.statista.com/statistics/1399391/elderly-population-with-health-insurance-by-coverage-in-the-us/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, among people in the United States aged 65 years and above, **** percent had healthcare coverage through Medicare Advantage. This statistic illustrates the distribution of health insurance coverage among adults aged 65 and above in the U.S. in 2023.

  5. Census of Population and Housing, 2000 [United States]: 5-Percent Public Use...

    • icpsr.umich.edu
    ascii, sas, spss +1
    Updated Jul 22, 2005
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    National Archive of Computerized Data on Aging (2005). Census of Population and Housing, 2000 [United States]: 5-Percent Public Use Microdata Sample: Elderly Households Extract [Dataset]. http://doi.org/10.3886/ICPSR04204.v2
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    sas, stata, spss, asciiAvailable download formats
    Dataset updated
    Jul 22, 2005
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    National Archive of Computerized Data on Aging
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/4204/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/4204/terms

    Time period covered
    2000
    Area covered
    Tennessee, North Carolina, Wisconsin, Alabama, Puerto Rico, District of Columbia, New Jersey, Hawaii, Idaho, Rhode Island
    Description

    This is a special extract of the 2000 Census 5-Percent Public Use Microdata Samples (PUMS) created by the National Archive of Computerized Data on Aging (NACDA). The file combines the individual 5-percent state files for all 50 states, the District of Columbia, and Puerto Rico as released by the United States Census Bureau into a single analysis file. The file contains information on all households that contain at least one person aged 65 years or more in residence as of the 2000 Census enumeration. The file contains individual records on all persons aged 65 and older living in households as well as individual records for all other members residing in each of these households. Consequently, this file can be used to examine both the characteristics of the elderly in the United States as well as the characteristics of individuals who co-reside with persons aged 65 and older as of the year 2000. All household variables from the household-specific "Household record" of the 2000 PUMS are appended to the end of each individual level record. This file is not a special product of the Census Bureau and is not a resample of the PUMS data specific to the elderly population. While it is comparable to the 1990 release CENSUS OF POPULATION AND HOUSING, 1990: [UNITED STATES]: PUBLIC USE MICRODATA SAMPLE: 3-PERCENT ELDERLY SAMPLE (ICPSR 6219), the sampling procedures and weights for the 2000 file reflect the methodology that applies to the 5-percent PUMS release CENSUS OF POPULATION AND HOUSING, 2000 [UNITED STATES]: PUBLIC USE MICRODATA SAMPLE: 5-PERCENT SAMPLE (ICPSR 13568). Person variables cover age, sex, relationship to householder, educational attainment, school enrollment, race, Hispanic origin, ancestry, language spoken at home, citizenship, place of birth, year of immigration, place of residence in 1985, marital status, number of children ever born, military service, mobility and personal care limitation, work limitation status, employment status, occupation, industry, class of worker, hours worked last week, weeks worked in 1989, usual hours worked per week, temporary absence from work, place of work, time of departure for work, travel time to work, means of transportation to work, total earnings, total income, wages and salary income, farm and nonfarm self-employment income, Social Security income, public assistance income, retirement income, and rent, dividends, and net rental income. Housing variables include area type, state and area of residence, farm/nonfarm status, type of structure, year structure was built, vacancy and boarded-up status, number of rooms and bedrooms, presence or absence of a telephone, presence or absence of complete kitchen and plumbing facilities, type of sewage facilities, type of water source, type of heating fuel used, property value, tenure, year moved into house/apartment, type of household/family, type of group quarters, household language, number of persons in the household, number of persons and workers in the family, status of mortgage, second mortgage, and home equity loan, number of vehicles available, household income, sales of agricultural products, payments for rent, mortgage and property tax, condominium fees, mobile home costs, and cost of electricity, water, heating fuel, and flood/fire/hazard insurance.

  6. F

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

    • fred.stlouisfed.org
    json
    Updated Jul 2, 2025
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    (2025). Age Dependency Ratio: Older Dependents to Working-Age Population for the United States [Dataset]. https://fred.stlouisfed.org/series/SPPOPDPNDOLUSA
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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
    United States
    Description

    Graph and download economic data for Age Dependency Ratio: Older Dependents to Working-Age Population for the United States (SPPOPDPNDOLUSA) from 1960 to 2024 about 64 years +, working-age, ratio, population, and USA.

  7. U.S. population aged 65 years and over 2021, by state

    • statista.com
    Updated Sep 1, 2023
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    Veera Korhonen (2023). U.S. population aged 65 years and over 2021, by state [Dataset]. https://www.statista.com/study/132438/healthcare-for-the-elderly-in-the-us/
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    Dataset updated
    Sep 1, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Veera Korhonen
    Area covered
    United States
    Description

    In 2021, about 5.96 million people aged 65 years or older were living in California -- the most out of any state. In that same year, Florida, Texas, New York, and Pennsylvania rounded out the top five states with the most people aged 65 and over living there.

  8. 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.

  9. a

    Elderly Population

    • hub.arcgis.com
    • data.clevelandohio.gov
    Updated Aug 21, 2023
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    Cleveland | GIS (2023). Elderly Population [Dataset]. https://hub.arcgis.com/datasets/ClevelandGIS::demographic-profiles/about?layer=11
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    Dataset updated
    Aug 21, 2023
    Dataset authored and provided by
    Cleveland | GIS
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description
    This layer shows demographic context for senior well-being work. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.

    The layer is symbolized to show the percentage of population aged 65 and up (senior population). To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right.

    Current Vintage: 2019-2023
    ACS Table(s): B01001, B09021, B17020, B18101, B23027, B25072, B25093, B27010, B28005, C27001B-I

    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.

    Data Note from the Census:
    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

    Data Processing Notes:
    • This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2022 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).
    • The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico
    • Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).
    • Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.
    • Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.
    • Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:
      • The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.
      • Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.
      • The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.
      • The estimate is controlled. A statistical test for sampling variability is not appropriate.
      • The data for this geographic area cannot be displayed because the number of sample cases is too small.

  10. T

    United States Age Dependency Ratio Percent Of Working Age Population

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
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    TRADING ECONOMICS (2017). United States Age Dependency Ratio Percent Of Working Age Population [Dataset]. https://tradingeconomics.com/united-states/age-dependency-ratio-percent-of-working-age-population-wb-data.html
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    May 28, 2017
    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
    United States
    Description

    Actual value and historical data chart for United States Age Dependency Ratio Percent Of Working Age Population

  11. 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.

  12. Number of adults aged 50 and older - Business Environment Profile

    • ibisworld.com
    Updated Sep 18, 2025
    + more versions
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    IBISWorld (2025). Number of adults aged 50 and older - Business Environment Profile [Dataset]. https://www.ibisworld.com/united-states/bed/number-of-adults-aged-50-and-older/19
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    Dataset updated
    Sep 18, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Description

    The data for this report, including forecasts, are sourced from the US Census Bureau and IBISWorld. The estimates provided refer to the population as of July 1 for that year. The forecasts in this report assume that fertility rates will continue to decline before stabilizing.

  13. Median age of the U.S. population 1960-2024

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Median age of the U.S. population 1960-2024 [Dataset]. https://www.statista.com/statistics/241494/median-age-of-the-us-population/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The median age in the United States reached 39.2 years in 2024. This was up from 28.1 in 1970, reflecting a significant aging of the population. Over the coming decades, the number of retirees is projected to rise by about 40 percent by 2050. This demographic shift will present new challenges to American society, reshaping patterns of consumption, work and public policy in the decades ahead. Can an older America balance the books? Social Security spending is set to rise as America grows older. The program, which is the government’s main pillar of support for retirees, already absorbs about five percent of GDP. This could reach six percent by 2035. That trajectory will keep pressure on policymakers to balance promises to pensioners with broader fiscal constraints. A world growing older The aging trend is not unique to the U.S. The global median age reached 30.9 in 2025, up from 20.3 in 1970. By 2050, China, Japan and South Korea are expected to rank among the countries with the largest shares of people aged 65 and over. The change will oblige policymakers to adapt long-standing arrangements to societies where a larger share of people are in later life.

  14. N

    Battle Lake, MN Population Pyramid Dataset: Age Groups, Male and Female...

    • neilsberg.com
    csv, json
    Updated Jul 24, 2024
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    Neilsberg Research (2024). Battle Lake, MN Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/f00ec2ca-4983-11ef-ae5d-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 24, 2024
    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
    Battle Lake, Minnesota
    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) 2018-2022 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 Battle Lake, MN population pyramid, which represents the Battle Lake population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Battle Lake, MN, is 31.6.
    • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Battle Lake, MN, is 87.9.
    • Total dependency ratio for Battle Lake, MN is 119.5.
    • Potential support ratio, which is the number of youth (working age population) per elderly, for Battle Lake, MN is 1.1.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Battle Lake population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Battle Lake for the selected age group is shown in the following column.
    • Population (Female): The female population in the Battle Lake for the selected age group is shown in the following column.
    • Total Population: The total population of the Battle Lake 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 Battle Lake Population by Age. You can refer the same here

  15. F

    Population Level - 55 Yrs. & over

    • fred.stlouisfed.org
    json
    Updated Nov 20, 2025
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    (2025). Population Level - 55 Yrs. & over [Dataset]. https://fred.stlouisfed.org/series/LNU00024230
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 20, 2025
    License

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

    Description

    Graph and download economic data for Population Level - 55 Yrs. & over (LNU00024230) from Jan 1948 to Sep 2025 about 55 years +, civilian, household survey, population, and USA.

  16. U

    United States US: Population: as % of Total: Female: Aged 65 and Above

    • ceicdata.com
    + more versions
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    CEICdata.com, United States US: Population: as % of Total: Female: Aged 65 and Above [Dataset]. https://www.ceicdata.com/en/united-states/population-and-urbanization-statistics/us-population-as--of-total-female-aged-65-and-above
    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
    Variables measured
    Population
    Description

    United States US: Population: as % of Total: Female: Aged 65 and Above data was reported at 16.925 % in 2017. This records an increase from the previous number of 16.550 % for 2016. United States US: Population: as % of Total: Female: Aged 65 and Above data is updated yearly, averaging 14.035 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 16.925 % in 2017 and a record low of 10.023 % in 1960. United States US: Population: as % of Total: Female: Aged 65 and Above 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: Population and Urbanization Statistics. Female population 65 years of age or older as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

  17. U

    United States US: Age Dependency Ratio: % of Working-Age Population: Old

    • ceicdata.com
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    CEICdata.com, United States US: Age Dependency Ratio: % of Working-Age Population: Old [Dataset]. https://www.ceicdata.com/en/united-states/population-and-urbanization-statistics/us-age-dependency-ratio--of-workingage-population-old
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    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
    Variables measured
    Population
    Description

    United States US: Age Dependency Ratio: % of Working-Age Population: Old data was reported at 23.470 % in 2017. This records an increase from the previous number of 22.796 % for 2016. United States US: Age Dependency Ratio: % of Working-Age Population: Old data is updated yearly, averaging 18.473 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 23.470 % in 2017 and a record low of 15.162 % in 1960. United States US: Age Dependency Ratio: % of Working-Age Population: Old data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Population and Urbanization Statistics. Age dependency ratio, old, is the ratio of older dependents--people older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.; ; World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average;

  18. S

    Senior Home Care Service Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 3, 2025
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    Data Insights Market (2025). Senior Home Care Service Report [Dataset]. https://www.datainsightsmarket.com/reports/senior-home-care-service-1974184
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    doc, pdf, pptAvailable download formats
    Dataset updated
    May 3, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The senior home care service market is experiencing robust growth, driven by an aging global population and increasing preference for aging in place. The market, estimated at $250 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching an estimated $450 billion by 2033. Several factors contribute to this expansion. The rising prevalence of chronic diseases among the elderly necessitates ongoing medical and personal care, fueling demand for home-based services. Technological advancements, such as telehealth and remote patient monitoring, are enhancing the efficiency and accessibility of senior home care, further driving market growth. Furthermore, the increasing affordability and availability of in-home care services, coupled with supportive government policies in many regions, are positively influencing market expansion. The market is segmented by application (medical and non-medical) and type of care (short-term and long-term), with long-term care representing a significant portion of the market due to the increasing life expectancy and prevalence of age-related conditions requiring extensive care. Competition within the sector is intense, with established players like Home Instead and Comfort Keepers alongside newer entrants employing innovative technology and service models. However, challenges remain, including workforce shortages, regulatory complexities, and ensuring consistent service quality across diverse geographical areas. The geographical distribution of the market reveals significant regional variations. North America, particularly the United States and Canada, dominates the market due to a large aging population and well-developed healthcare infrastructure. Europe and Asia-Pacific also represent substantial markets, exhibiting significant growth potential due to rapid economic development and an increasing elderly population in these regions. However, variations in healthcare policies, economic conditions, and access to technology across different regions influence market dynamics. Future market growth will depend on successfully addressing workforce challenges, improving service quality through technological integration, and ensuring equitable access to affordable and high-quality senior home care services globally. The market's trajectory suggests a continued upward trend, underpinned by demographic shifts, technological progress, and evolving healthcare priorities.

  19. Median age of U.S. population by state 2022

    • statista.com
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    Veera Korhonen, Median age of U.S. population by state 2022 [Dataset]. https://www.statista.com/topics/9409/demographics-in-the-us/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Veera Korhonen
    Area covered
    United States
    Description

    In 2022, the state with the highest median age of its population was Maine at 45.1 years. Utah had the lowest median age at 32.1 years. View the distribution of the U.S. population by ethnicity here.

    Additional information on the aging population in the United States

    High birth rates during the so-called baby boom years that followed World War II followed by lower fertility and morality rates have left the United States with a serious challenge in the 21st Century. However, the issue of an aging population is certainly not an issue unique to the United States. The age distribution of the global population shows that other parts of the world face a similar issue.

    Within the United States, the uneven distribution of populations aged 65 years and over among states offers both major challenges and potential solutions. On the one hand, federal action over the issue may be contentious as other states are set to harbor the costs of elderly care in states such as California and Florida. That said, domestic migration from comparably younger states may help to fill gaps in the workforce left by retirees in others.

    Nonetheless, aging population issues are set to gain further prominence in the political and economic decisions made by policymakers regardless of the eventual distribution of America’s elderly. Analysis of the financial concerns of Americans by age shows many young people still decades from retirement hold strong concern over their eventual financial position.

  20. 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
    Caribbean, Latin America
    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).

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Statista (2023). U.S. seniors as a percentage of the total population 1950-2050 [Dataset]. https://www.statista.com/statistics/457822/share-of-old-age-population-in-the-total-us-population/
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U.S. seniors as a percentage of the total population 1950-2050

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69 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 19, 2023
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

In 2023, about 17.7 percent of the American population was 65 years old or over; an increase from the last few years and a figure which is expected to reach 22.8 percent by 2050. This is a significant increase from 1950, when only eight percent of the population was 65 or over. A rapidly aging population In recent years, the aging population of the United States has come into focus as a cause for concern, as the nature of work and retirement is expected to change to keep up. If a population is expected to live longer than the generations before, the economy will have to change as well to fulfill the needs of the citizens. In addition, the birth rate in the U.S. has been falling over the last 20 years, meaning that there are not as many young people to replace the individuals leaving the workforce. The future population It’s not only the American population that is aging -- the global population is, too. By 2025, the median age of the global workforce is expected to be 39.6 years, up from 33.8 years in 1990. Additionally, it is projected that there will be over three million people worldwide aged 100 years and over by 2050.

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