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

    • statista.com
    Updated Jun 16, 2025
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    Statista (2025). 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
    Jun 16, 2025
    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. n

    Aging Population

    • linc.osbm.nc.gov
    csv, excel, geojson +1
    Updated Mar 16, 2020
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    (2020). Aging Population [Dataset]. https://linc.osbm.nc.gov/explore/dataset/aging-population/
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    geojson, json, csv, excelAvailable download formats
    Dataset updated
    Mar 16, 2020
    Description

    Population 65+ by selected living arrangements. Estimates from US Census Bureau - American Community Survey 5-Year Estimates, 2014-2018.

  3. Percentage of U.S. population older than 65 years in by state 2019

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Percentage of U.S. population older than 65 years in by state 2019 [Dataset]. https://www.statista.com/statistics/301940/percentage-of-population-older-than-65-years-in-the-us-by-state/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United States
    Description

    This statistic presents the percentage of the population aged 65 and over in the United States in 2019, distinguished by state. In 2019, about ** percent of Florida's population was aged 65 and over. The national share stood at **** percent.

  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. Projected numbers of older people with Alzheimer's in the U.S. 2020-2060

    • barnesnoapp.net
    Updated Jul 1, 2025
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    John Elflein (2025). Projected numbers of older people with Alzheimer's in the U.S. 2020-2060 [Dataset]. https://barnesnoapp.net/?_=%2Ftopics%2F13215%2Fadult-day-care-centers-in-the-us%2F%232Ccyy9CUZOrS9FQkYrQwn9kgMtqNzSSo
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    Dataset updated
    Jul 1, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    John Elflein
    Area covered
    United States
    Description

    The number of Americans aged 65 and over with Alzheimer's disease is projected to more than double by 2060, reaching 13.8 million. This significant increase highlights the growing challenge of caring for an aging population, particularly those affected by dementia. As the prevalence of Alzheimer's rises, it will have far-reaching impacts on healthcare, families, and society as a whole. Aging population trends The surge in Alzheimer's cases is closely tied to broader demographic shifts in the United States. By 2050, it's estimated that 22 percent of the American population will be 65 years or older, up from 17.3 percent in 2022. This rapid aging of the population is expected to strain healthcare systems and change the nature of work and retirement. Challenges of aging in place As the number of older adults with Alzheimer's increases, there is a growing desire among seniors to age in their own homes. A 2024 survey found that three-quarters of adults aged 50 and older strongly or somewhat agreed they would like to remain in their current residence for as long as possible. This preference is even stronger among those 65 and older, with 80 percent expressing this desire. However, the ability to age in place may be compromised by declining physical capabilities, as only about one in five adults aged 72 and older reported being fully able to perform self-care and mobility activities in 2021.

  6. N

    Baltimore County, MD Population Pyramid Dataset: Age Groups, Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). Baltimore County, MD Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/52399653-f122-11ef-8c1b-3860777c1fe6/
    Explore at:
    json, csvAvailable 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
    Maryland, Baltimore County
    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 Baltimore County, MD population pyramid, which represents the Baltimore 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 Baltimore County, MD, is 28.2.
    • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Baltimore County, MD, is 27.7.
    • Total dependency ratio for Baltimore County, MD is 55.9.
    • Potential support ratio, which is the number of youth (working age population) per elderly, for Baltimore County, MD is 3.6.
    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 Baltimore County population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Baltimore County for the selected age group is shown in the following column.
    • Population (Female): The female population in the Baltimore County for the selected age group is shown in the following column.
    • Total Population: The total population of the Baltimore 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 Baltimore County Population by Age. You can refer the same here

  7. f

    Measuring the Speed of Aging across Population Subgroups

    • plos.figshare.com
    xlsx
    Updated Jun 2, 2023
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    Warren C. Sanderson; Sergei Scherbov (2023). Measuring the Speed of Aging across Population Subgroups [Dataset]. http://doi.org/10.1371/journal.pone.0096289
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    xlsxAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Warren C. Sanderson; Sergei Scherbov
    License

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

    Description

    People in different subgroups age at different rates. Surveys containing biomarkers can be used to assess these subgroup differences. We illustrate this using hand-grip strength to produce an easily interpretable, physical-based measure that allows us to compare characteristic-based ages across educational subgroups in the United States. Hand-grip strength has been shown to be a good predictor of future mortality and morbidity, and therefore a useful indicator of population aging. Data from the Health and Retirement Survey (HRS) were used. Two education subgroups were distinguished, those with less than a high school diploma and those with more education. Regressions on hand-grip strength were run for each sex and race using age and education, their interactions and other covariates as independent variables. Ages of identical mean hand-grip strength across education groups were compared for people in the age range 60 to 80. The hand-grip strength of 65 year old white males with less education was the equivalent to that of 69.6 (68.2, 70.9) year old white men with more education, indicating that the more educated men had aged more slowly. This is a constant characteristic age, as defined in the Sanderson and Scherbov article “The characteristics approach to the measurement of population aging” published 2013 in Population and Development Review. Sixty-five year old white females with less education had the same average hand-grip strength as 69.4 (68.2, 70.7) year old white women with more education. African-American women at ages 60 and 65 with more education also aged more slowly than their less educated counterparts. African American men with more education aged at about the same rate as those with less education. This paper expands the toolkit of those interested in population aging by showing how survey data can be used to measure the differential extent of aging across subpopulations.

  8. Healthcare coverage share among U.S. elderly population in 2022, by race and...

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Healthcare coverage share among U.S. elderly population in 2022, by race and coverage [Dataset]. https://www.statista.com/statistics/1399409/elderly-population-with-health-insurance-by-race-and-coverage-in-the-us/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In 2022, among people aged 65 years and above who had health coverage, **** percent non-Hispanic White Americans had private health insurance, while a further ** percent had Medicare Advantage. The majority of older adults in the U.S. were privately insured (with or without Medicare). This statistic illustrates the distribution of health insurance coverage among adults aged 65 and above in the U.S. in 2022, by race and coverage type.

  9. g

    OECD, Share of National Elderly Population, Global, 2004

    • geocommons.com
    Updated May 6, 2008
    + more versions
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    data (2008). OECD, Share of National Elderly Population, Global, 2004 [Dataset]. http://geocommons.com/search.html
    Explore at:
    Dataset updated
    May 6, 2008
    Dataset provided by
    OECD
    data
    Description

    In all OECD countries, populations aged 65 years and over have dramatically increased over the last 30 years, both in size and as a percentage of total population. As elderly people tend to be concentrated in few areas within each country, a small number of regions will have to face the social and economic challenges raised by aging population Share of National Elderly Population in the 10% Regions with the largest Elderly Population - 2004 or latest year available

  10. D

    Retirement Communities Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Retirement Communities Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/retirement-communities-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Retirement Communities Market Outlook



    The global retirement communities market size was valued at approximately USD 250 billion in 2023 and is projected to reach around USD 400 billion by 2032, growing at a CAGR of about 5%. This growth is primarily driven by the aging global population, an increase in life expectancy, and changing lifestyle preferences among seniors. The shift towards comprehensive care and the integration of health and wellness services within retirement communities have further fueled this market's expansion. As societies worldwide continue to experience demographic shifts, the demand for retirement communities that offer a blend of healthcare, hospitality, and recreational amenities is expected to surge, underpinning the robust growth trajectory of the sector.



    The burgeoning aging population is one of the primary growth factors for the retirement communities market. As advances in healthcare continue to improve life expectancy, a significant proportion of the global population is projected to fall within the senior age bracket, necessitating adequate living solutions for them. This demographic shift is particularly pronounced in developed regions such as North America and Europe, where a considerable percentage of the population is transitioning into retirement age. Additionally, emerging economies in Asia Pacific are also witnessing an increase in the elderly population, driven by improved healthcare infrastructure and living standards. This demographic evolution necessitates the development of retirement communities equipped with facilities that cater to both the healthcare and lifestyle needs of seniors.



    Another significant growth factor is the increased financial independence and spending power among seniors. With many from the baby boomer generation having accrued substantial savings and investments, there is a growing willingness to spend on quality living environments that provide comfort, security, and access to healthcare and recreational activities. This financial capability, coupled with the desire for a community living environment that offers social interaction and reduces isolation, is a key driver for the retirement communities market. Furthermore, these communities are increasingly incorporating technology to enhance the quality of life for residents, with features such as telemedicine, smart home technologies, and digital health monitoring, which are appealing to the tech-savvy senior demographic.



    Moreover, the changing societal norms and lifestyle preferences among the elderly are also contributing to the market's growth. TodayÂ’s seniors are more active and health-conscious than ever before, seeking retirement communities that offer wellness programs, fitness centers, and social activities that align with their lifestyle choices. The emphasis on holistic well-being has led to a rise in integrated community models that provide a continuum of care, from independent living to assisted living and nursing care, allowing seniors to age in place with dignity and peace of mind. This trend is expected to intensify in the coming years, further propelling the growth of the retirement communities market globally.



    In recent years, the concept of Smart Communities has emerged as a transformative force within the retirement sector. These communities leverage advanced technologies to create interconnected environments that enhance the quality of life for residents. By integrating smart home devices, IoT solutions, and data-driven services, Smart Communities offer personalized and efficient living experiences. This technological integration not only improves safety and convenience for seniors but also promotes sustainable living practices. As the demand for tech-savvy solutions grows, retirement communities are increasingly adopting smart technologies to meet the evolving expectations of their residents, positioning themselves at the forefront of innovation in senior living.



    Regionally, North America currently holds the largest share of the retirement communities market, driven by a well-established infrastructure, high disposable incomes, and a significant aging population. Europe follows closely, benefiting from similar demographic trends and a strong emphasis on social welfare programs for the elderly. Meanwhile, the Asia Pacific region is anticipated to exhibit the highest growth rate over the forecast period, fueled by rapid urbanization, economic growth, and increasing healthcare investments. Countries such as China, Japan, and India are at the forefront of this expansion, as they adapt to th

  11. N

    Pineville, MO Population Pyramid Dataset: Age Groups, Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). Pineville, MO Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/pineville-mo-population-by-age/
    Explore at:
    json, csvAvailable 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
    Pineville, Missouri
    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 Pineville, MO population pyramid, which represents the Pineville 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 Pineville, MO, is 31.4.
    • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Pineville, MO, is 45.4.
    • Total dependency ratio for Pineville, MO is 76.8.
    • Potential support ratio, which is the number of youth (working age population) per elderly, for Pineville, MO is 2.2.
    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 Pineville population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Pineville for the selected age group is shown in the following column.
    • Population (Female): The female population in the Pineville for the selected age group is shown in the following column.
    • Total Population: The total population of the Pineville 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 Pineville Population by Age. You can refer the same here

  12. N

    Nicholson, PA Age Cohorts Dataset: Children, Working Adults, and Seniors in...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). Nicholson, PA Age Cohorts Dataset: Children, Working Adults, and Seniors in Nicholson - Population and Percentage Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/nicholson-pa-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
    Nicholson, Pennsylvania
    Variables measured
    Population Over 65 Years, Population Under 18 Years, Population Between 18 and 64 Years, Percent of Total Population for Age Groups
    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 two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age cohorts. For age cohorts we divided it into three buckets Children ( Under the age of 18 years), working population ( Between 18 and 64 years) and senior population ( Over 65 years). 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 Nicholson population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Nicholson. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

    Key observations

    The largest age group was 18 to 64 years with a poulation of 346 (55.10% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Content

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

    Age cohorts:

    • Under 18 years
    • 18 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Group: This column displays the age cohort for the Nicholson population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
    • Population: The population for the age cohort in Nicholson is shown in the following column.
    • Percent of Total Population: The population as a percent of total population of the Nicholson 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 Nicholson Population by Age. You can refer the same here

  13. US Senior Living Market Analysis, Size, and Forecast 2025-2029

    • technavio.com
    pdf
    Updated Mar 27, 2025
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    Technavio (2025). US Senior Living Market Analysis, Size, and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/us-senior-living-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Mar 27, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    United States
    Description

    Snapshot img

    US Senior Living Market Size 2025-2029

    The senior living market in US size is forecast to increase by USD 30.58 billion at a CAGR of 5.9% between 2024 and 2029.

    The senior living market is experiencing significant growth due to various driving factors. One of the primary factors is the aging population, as the number of seniors continues to increase, the demand for services is also rising. Another key trend is the integration of technology into senior living facilities, which enhances the quality of care and improves the overall living experience for seniors. Innovations in artificial intelligence, data analytics, predictive modeling, and personalized care plans are disrupting traditional care models and improving overall financial sustainability through cost containment and value-based care. However, affordability remains a challenge for many seniors and their families, as the cost of services can be prohibitive. This report provides a comprehensive analysis of these factors and more, offering insights into the current state and future direction of the market.
    

    What will be the Size of the Market During the Forecast Period?

    Request Free Sample

    The market encompasses a range of services designed to address the unique needs of an aging population, including long-term care, end-of-life care, palliative care, hospice care, respite care, adult day care, home health services, geriatric care, and various forms of cognitive and behavioral health support. This market is driven by demographic trends, with the global population of individuals aged 65 and above projected to reach 1.5 billion by 2050. 
    
    
    Key challenges in this market include addressing cognitive decline, social isolation, fall prevention, medication management, nutritional support, mobility assistance, personal care assistance, continence management, and other aspects of daily living. Additionally, there is a growing focus on quality of life, resident satisfaction, staffing ratios, caregiver training, technology adoption, and regulatory compliance. The aging services network is evolving to provide a continuum of care, from independent living to palliative care, with a focus on evidence-based practices, industry best practices, and regulatory compliance.
    

    How is this market segmented, and which is the largest segment?

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. Service TypeAssisted livingIndependent livingCCRCAge GroupAge 85 and olderAge 66-84Age 65 and underBy TypeMedical ServicesNon-Medical ServicesDistribution ChannelDirect SalesAgency ReferralsOnline PlatformsEnd-UserBaby BoomersSilent GenerationGen XGeographyUS

    By Service Type Insights

    The assisted living segment is estimated to witness significant growth during the forecast period. Assisted living communities cater to seniors who require assistance with daily activities but do not necessitate full-time nursing care. These residences offer a combination of personalized care, social engagement, and medical support in a secure and comfortable setting. The market is experiencing growth due to the expanding aging population, rising life expectancy, and a preference for home-like environments over traditional nursing homes. Personalized care services are a defining feature of assisted living. Residents receive aid with activities of daily living, such as bathing, dressing, grooming, medication management, and mobility assistance, based on their individual needs.
    Trained staff members are available 24/7 to ensure the safety and well-being of residents. Memory care communities are a specialized segment within assisted living, designed for seniors with Alzheimer's disease and other forms of dementia. These facilities provide secure environments and specialized care techniques to address the unique needs of these residents. Independent living communities offer seniors the opportunity to live in a social, active environment while maintaining their independence. These communities provide housing solutions with minimal support services, such as meal preparation and housekeeping. Nursing care homes and skilled nursing facilities offer comprehensive care for seniors with chronic health conditions and complex care needs.
    

    Get a glance at the market report of share of various segments Request Free Sample

    Market Dynamics

    Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

    What are the key market drivers leading to the rise in adoption of US Senior Living Market?

    An aging population is the key driver of the market. The market in the US is experiencing significant growth due
    
  14. M

    Anti Aging Market Set to Hit US$ 159 Billion by 2034 at 7.4% CAGR

    • media.market.us
    Updated Aug 13, 2025
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    Market.us Media (2025). Anti Aging Market Set to Hit US$ 159 Billion by 2034 at 7.4% CAGR [Dataset]. https://media.market.us/anti-aging-market-news/
    Explore at:
    Dataset updated
    Aug 13, 2025
    Dataset authored and provided by
    Market.us Media
    License

    https://media.market.us/privacy-policyhttps://media.market.us/privacy-policy

    Time period covered
    2022 - 2032
    Description

    Overview

    New York, NY – August 13, 2025 : The global Anti-Aging Market is expected to reach approximately US$ 159 billion by 2034. It was valued at US$ 77.9 billion in 2024. The market will grow at a compound annual growth rate (CAGR) of 7.4% from 2025 to 2034. Anti-aging focuses on delaying, preventing, or reversing aging effects, mainly on the skin. It includes skincare products, cosmetic treatments, supplements, and lifestyle changes. The rising aging population is a key factor driving this market’s expansion worldwide.

    Population aging significantly boosts demand for anti-aging solutions. The World Health Organization reports rapid growth in people aged 60 and above globally. For example, China had 330 million seniors in 2024, supporting a domestic anti-aging market worth US$ 15 billion. Countries like Japan and Italy face similar demographic shifts. Longer lifespans, lower birth rates, and growing awareness of healthy aging further accelerate demand. These trends create strong market potential for anti-aging products and services.

    Scientific advances bring new anti-aging therapies. Recombinant human epidermal growth factor (rhEGF) stimulates skin repair and slows aging. Low-dose human growth hormone improves muscle, bone health, and immunity in older adults. Biotechnology innovations support more effective treatments. These advancements expand market offerings beyond traditional skincare. Consumers increasingly seek medically backed, science-driven options. This shift raises overall market value and encourages further research in regenerative and hormone-based anti-aging therapies.

    Preventive health is vital for anti-aging growth. WHO highlights lifestyle choices like the Mediterranean diet and regular exercise as key to slowing biological aging. Such measures reduce mortality and enhance longevity. Governments also promote healthy aging. The U.S. has launched a Strategic Framework for Aging, while Vermont implemented a 10-year aging well strategy. These initiatives encourage consumers to adopt healthier habits. The focus on prevention supports higher demand for anti-aging supplements, diets, and wellness products globally.

    Digital technology transforms anti-aging care. AI-powered tools like Olay’s Skin Advisor saw 487,000 monthly visits in 2024. Major brands such as L’Oréal (ModiFace), Neutrogena (Skin360), and Perfect Corp use AI for personalized skin analysis. SkinGPT‑4 achieves 93% accuracy in diagnosing skin issues. New tools predict aging and customize regimens using real-time imaging and digital twins. Market niches like post-menopausal skincare and men’s grooming grow rapidly. Biohacking and post-treatment skincare further expand market diversity and personalization.

    https://market.us/wp-content/uploads/2025/07/Anti-Aging-Market-Size-1024x597.jpg" alt="Anti Aging Market Size">

  15. U.S metro areas with the highest percentage of population aged 65 and older...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). U.S metro areas with the highest percentage of population aged 65 and older 2019 [Dataset]. https://www.statista.com/statistics/432794/us-metro-areas-with-the-highest-percentage-of-population-65-and-older/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United States
    Description

    This statistic shows the leading metropolitan areas with the highest percentage of population aged 65 years and over in the United States in 2019. In 2019, The Villages, Florida was ranked first with about **** percent of its population aged 65 years and over.

  16. N

    Salem County, NJ Population Pyramid Dataset: Age Groups, Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). Salem County, NJ Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/salem-county-nj-population-by-age/
    Explore at:
    json, csvAvailable 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
    New Jersey, Salem County
    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 Salem County, NJ population pyramid, which represents the Salem 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 Salem County, NJ, is 28.6.
    • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Salem County, NJ, is 30.0.
    • Total dependency ratio for Salem County, NJ is 58.6.
    • Potential support ratio, which is the number of youth (working age population) per elderly, for Salem County, NJ is 3.3.
    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 Salem County population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Salem County for the selected age group is shown in the following column.
    • Population (Female): The female population in the Salem County for the selected age group is shown in the following column.
    • Total Population: The total population of the Salem 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 Salem County Population by Age. You can refer the same here

  17. 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.

  18. c

    Elderly Population

    • data.clevelandohio.gov
    Updated Aug 21, 2023
    + more versions
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    Cleveland | GIS (2023). Elderly Population [Dataset]. https://data.clevelandohio.gov/datasets/ClevelandGIS::elderly-population
    Explore at:
    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.

  19. m

    US Elderly Care Market Size and Forecasts 2030

    • mobilityforesights.com
    pdf
    Updated Apr 26, 2025
    + more versions
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    Mobility Foresights (2025). US Elderly Care Market Size and Forecasts 2030 [Dataset]. https://mobilityforesights.com/product/us-elderly-care-market
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Apr 26, 2025
    Dataset authored and provided by
    Mobility Foresights
    License

    https://mobilityforesights.com/page/privacy-policyhttps://mobilityforesights.com/page/privacy-policy

    Area covered
    United States
    Description

    In US Elderly Care Market, It is expanding rapidly due to the rising aging population, increasing prevalence of chronic diseases, and growing demand for long-term care solutions.

  20. Senior Living Market Analysis, Size, and Forecast 2025-2029: North America...

    • technavio.com
    pdf
    Updated Dec 27, 2024
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    Technavio (2024). Senior Living Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, UK), Middle East and Africa , APAC (China, India, Japan), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/senior-living-market-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Dec 27, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    United States
    Description

    Snapshot img

    Senior Living Market Size 2025-2029

    The senior living market size is forecast to increase by USD 130.9 billion, at a CAGR of 5.8% between 2024 and 2029.

    Major Market Trends & Insights

    North America dominated the market and accounted for a 44% growth during the forecast period.
    By the Service - Assisted living segment was valued at USD 158.20 billion in 2023
    By the Services - Healthcare Services segment accounted for the largest market revenue share in 2023
    

    Market Size & Forecast

    Market Opportunities: USD 66.60 billion
    Market Future Opportunities: USD 130.90 billion 
    CAGR : 5.8%
    North America: Largest market in 2023
    

    Market Summary

    The market is experiencing significant shifts as the global population ages, with the 60+ demographic projected to reach 1.4 billion by 2030. This demographic trend drives the demand for innovative solutions in long-term care, assisted living, and home health services. Technological advances are transforming senior care, with telehealth, mobile apps, and wearable devices enabling remote monitoring and improved care coordination. However, the sector faces challenges such as staffing shortages and workplace demands, with the US projected to have a shortage of 1.2 million healthcare workers by 2030.
    Despite these challenges, the market's continuous evolution offers opportunities for growth, particularly in areas like technology integration, personalized care, and community-based services. The market's future lies in addressing the unique needs of an aging population while overcoming workforce challenges.
    

    What will be the Size of the Senior Living Market during the forecast period?

    Explore market size, adoption trends, and growth potential for senior living market Request Free Sample

    The market represents a significant and continually evolving sector within the broader healthcare industry. According to recent data, this market experiences a steady growth of approximately 2.5% annually. Furthermore, future projections indicate a continuous expansion, with a projected increase of around 3% per annum. Comparing key numerical data, the senior population aged 65 and above is projected to double by 2050, while the number of senior living facilities is anticipated to grow by nearly 30% between 2020 and 2030. This growth trend is driven by demographic shifts and increasing demand for specialized care and services catering to the elderly population.
    In addition, the market encompasses a diverse range of offerings, including assisted living, memory care, and independent living communities. The demand for these services varies, with assisted living experiencing a higher growth rate compared to independent living. This disparity can be attributed to the increasing prevalence of age-related diseases and the need for additional care and support. Despite the growth, challenges remain, including regulatory compliance, risk management, and financial planning. Addressing these challenges requires a multifaceted approach, incorporating elements such as quality assurance, caregiver support, and community engagement. Ultimately, the market represents a dynamic and evolving landscape, presenting both opportunities and challenges for businesses and stakeholders alike.
    

    How is this Senior Living Industry segmented?

    The senior living industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Service
    
      Assisted living
      Independent living
      CCRC
    
    
    Services
    
      Healthcare Services
      Lifestyle and Wellness Programs
      Dining Services
    
    
    Technology Integration
    
      Smart Home Systems
      Health Monitoring Devices
      Safety and Security Systems
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      APAC
    
        China
        India
        Japan
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Service Insights

    The assisted living segment is estimated to witness significant growth during the forecast period.

    The market encompasses a range of services and arrangements designed to cater to the unique needs of aging adults. One significant segment within this market is assisted living, which provides apartment-style dwellings for seniors who require assistance with activities of daily living (ADL), such as bathing, laundry, and medication management. This segment may include specialized memory care units for individuals with cognitive impairments, such as Alzheimer's disease or dementia. These units often feature increased security measures, like extra surveillance equipment and locked doors, due to safety concerns. The number of companies entering this segment is growing, contributing to its expanding presence and potential growth during the forecast period.

    Another ess

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Statista (2025). 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/
Organization logo

U.S. seniors as a percentage of the total population 1950-2050

Explore at:
64 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 16, 2025
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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