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.

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.

In 2023, the share of the population older than 60 years old in Thailand accounted for 20.17 percent. In 2040, the percentage of the population above the age of 60 years old is forecast to reach 31.37 percent.

Contained within the 5th Edition (1978 to 1995) of the National Atlas of Canada is a sheet that has 2 maps and an inset map. The first map shows proportion of total population in 65 to 74 and 75 plus age groups for each Census Division in 1986. An inset map shows the same information for the area from Windsor to Quebec. The second map of Canada shows proportion under 15 by Census Division. Population pyramids of age / sex distributions for 1961 and 1986 shown for each province, territory and for Canada.

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).

Projected indicators included are derived from the published 2018-based subnational population projections for England, Wales, Scotland and Northern Ireland up to the year 2043. The indicators are the projected percentage of the population aged 65 years and over, 85 years and over, 0 to 15 years, 16 to 64 years, 16 years to State Pension age, State Pension age and over, median age and the Old Age Dependency Ratio (the number of people of State Pension age per 1000 of those aged 16 years to below State Pension age).

This dataset has been produced by the Ageing Analysis Team for inclusion in the subnational ageing tool, which was published on July 20, 2020 (see link in Related datasets). The tool is interactive, and users can compare latest and projected measures of ageing for up to four different areas through selection on a map or from a drop-down menu.

Note on data sources: England, Wales, Scotland and Northern Ireland independently publish subnational population projections and the data available here are a compilation of these datasets. The ONS publish national level data for the UK, England, Wales and England & Wales, which has been included. National level data for Scotland and Northern Ireland have been taken from their subnational population projections datasets.

The Aging Population Services market has emerged as a critical sector in response to the growing global demographic shift towards an older population. As life expectancy increases and birth rates decline, an estimated 1.4 billion people worldwide will be aged 60 and over by 2030. This demographic change is exerting

The graph shows the number of nursing homes and social welfare institutions providing accommodation for elderly people in China from 2014 to 2024. In 2024, a total of around 406,000 welfare institutions for aged people existed in China, including 40,307 nursing homes.

Abstract (en): The main objectives of this data collection effort were to assemble a set of cross-nationally comparable microdata samples for Economic Commission for Europe (ECE) countries based on the 1990 national population and housing censuses in countries of Europe and North America, and to use these samples to study the social and economic conditions of older persons. The samples are designed to allow research on a wide range of issues related to aging, as well as on other social phenomena. Included in the Czech Republic dataset are questions on the type and characteristics of buildings/dwellings, available utility systems, and demographic information such as age, sex, marital status, number of children, education, income, religion, and occupation. Also included are questions concerning the presence of household amenities such as telephones, toilets, automobiles, baths/showers, washers, and television sets. All persons and housing units in the Czech Republic. Individual-based sample of 1,029,471 persons with progressive oversampling with age, while retaining information on all persons co-residing in the sampled person's dwelling unit (N = 1,574,936). 2013-09-27 This study was previously distributed on CD-ROM only. The contents of the CD-ROM are now available for public download from ICPSR as a zipped package.2008-09-24 The confidentiality agreement is now available as a downloadable PDF document. Funding insitution(s): United Nations Population Fund. United Nations Economic Commission for Europe. United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging. In addition to the SAS data file provided by the principal investigator, ICPSR is distributing an ASCII data file extracted from the SAS file. Analysis of the ASCII file may be facilitated by dividing it.Erroneously coded missing values on age have been corrected, resulting in 1,650 households being dropped from the sample. The principal investigator has provided a corrected version of the data, in one file instead of four, a revised codebook, descriptive statistics, and SAS and SPSS data definition statements.

Twenty-five Area Agencies on Aging (AAAs) provide critical services to the 1.9+ million Virginians aged 60+ across the Commonwealth. AAAs depend on timely and relevant demographic data to make informed decisions about how to best serve their populations. The data products listed below aim to assist the AAAs in understanding some of the basic demographic characteristics of older adults in Virginia as a whole, and in each of Virginia's Planning and Service Areas (PSAs).

Data tables include: Poverty status, SNAP/Food stamp usage, labor force participation, and renter/homeowner status

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.

Support for Health Equity datasets and tools provided by Amazon Web Services (AWS) through their Health Equity Initiative.

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.

The average for 2023 based on 196 countries was 10.17 percent. The highest value was in Monaco: 36.36 percent and the lowest value was in Qatar: 1.57 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

Population Projections: Aging Index per year. Annual. Autonomous Communities and Cities.

Indicators included have been derived from the published 2019 mid-year population estimates for the UK, England, Wales, Scotland and Northern Ireland. These are the number of persons and percentage of the population aged 65 years and over, 85 years and over, 0 to 15 years, 16 to 64 years, 16 years to State Pension age, State Pension age and over, median age and the Old Age Dependency Ratio (the number of people of State Pension age per 1000 of those aged 16 years to below State Pension age).

This dataset has been produced by the Ageing Analysis Team for inclusion in a subnational ageing tool, which was published in July 2020. The tool enables users to compare latest and projected measures of ageing for up to four different areas through selection on a map or from a drop-down menu.

The growth rate of the elderly population in India saw a sharp increase from 2001 onward after a series of successive falls. According to projections for 2021-31, the growth rate was expected to be five times the growth rate of the total population.

Population ages 65 and above (% of total population) in Norway was reported at 18.79 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Norway - Population ages 65 and above (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Population Projections: Aging Index per year. Annual. Provinces.

Population ages 65 and above (% of total population) in France was reported at 22.15 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. France - Population ages 65 and above (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Elderly individuals exhibit wide disparities in their sources of income. For those in the bottom half of the income distribution, Social Security is the most important source of support; program changes would directly affect their well-being. Income from private pensions, assets, and earnings are relatively more important for higher-income elderly individuals, who have more diverse income sources. The trend from private sector defined benefit to defined contribution pension plans has shifted responsibility for retirement security to individuals. A significant subset of the population is unlikely to be able to sustain their standard of living in retirement without higher pre-retirement saving.