In 2023, there were ********* adults aged 65 and older living in California, the most out of all U.S. states, followed by Florida with over *** million adults aged 65 and older. Both California and Florida have some of the highest resident population figures in the United States.

In 2021, about **** 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.

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.

In 2021, Kerala reflected the highest share of its population belonging to the elderly age group with 16.5 percent as opposed to only 10.5 percent in 2001. This was an increase in six percent in two decades.

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, 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.

A public-use microdata sample focusing on the older population created from the 1990 census. This sample consists of 3 percent of households with at least one member aged 60 or older. Although, the highest age presented is age 90, this allows analysis of data on the very old for most states with a reasonable degree of reliability. Since data for all members in households containing a person 60 years and over will be on the file, users will be able to analyze patterns such as living arrangements and sources of household income from which older members may benefit. Additionally, users will be able to augment the PUMS-O sample with a PUMS file. The Census Bureau has issued two regular PUMS files for the entire population. One PUMS file will contain 1 percent of all households; the other PUMS file will contain 5 percent of all households. Both files have most sample data items, and differ only in geographical composition. The 1-percent file contains geographic areas that reflect metropolitan vs. non-metropolitan areas. The 5-percent file shows counties or groups of counties as well as large sub-county areas such as places of 100,000 or more. The geography on the 5-percent PUMS file matches that of the PUMS-O file. Since data for different households are present on the two files, users can merge the PUMS-O file with the 5-percent PUMS to construct an 8-percent sample. However, weighted averages must be constructed for any estimates created because each sample yields state-level estimates. Thus, it is possible to analyze substate areas even for the very old. In states where the geographic areas identified on the PUMS-O and the 5-percent PUMS are coterminous with State Planning and Service Areas (used by service providers in relation to the Older Americans Act), the Planning and Service Areas are identified. * Dates of Study: 1990-2000 Links: 1980: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/08101 2000: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04204

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

In 2023, there were around 62 personal care and home health aides per 1,000 adults aged 65 years or older in the United States. Meanwhile, the rate of home health care workers per elderly population varied widely by state, with New York having the highest rate and Florida the lowest.

Estimates of the Total Resident Population and Resident Population Age 18 Years and Older for the United States, States, and Puerto Rico // File: State Characteristics Population Estimates // Source: U.S. Census Bureau, Population Division // Note: The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. See Geographic Terms and Definitions at http://www.census.gov/popest/about/geo/terms.html for a list of the states that are included in each region and division. All geographic boundaries for these population estimates are as of January 1, 2013. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.html. // Each year, the Census Bureau's Population Estimates Program (PEP) utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census, and produces a time series of estimates of population. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., V2013) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: http://www.census.gov/popest/index.html.

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.

About this dataset

Context

The dataset tabulates the United States population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for United States. The dataset can be utilized to understand the population distribution of United States by age. For example, using this dataset, we can identify the largest age group in United States.

Key observations

The largest age group in United States was for the group of age 25-29 years with a population of 22,854,328 (6.93%), according to the 2021 American Community Survey. At the same time, the smallest age group in United States was the 80-84 years with a population of 5,932,196 (1.80%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 in consideration
• Population: The population for the specific age group in the United States is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of United States total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 United States Population by Age. You can refer the same here

The statistic gives the share of aging population in India across selected states and union territories in India in 2011. The regions with the highest share of elderly people were in the state of Kerala, with some 12.6 percent of the population living there were 60 years or older, followed by the state of Goa with 11.2 percent. The share of aging population in the whole country that year was 8.6 percent.

Index of Geographic Concentration of Elderly Population - 2004 or latest available year

OBJECTIVE: This study aimed to characterize the sociodemographic profile of elderly in a city in northern Rio Grande do Sul state, Brazil. METHODOLOGY: Quantitative, descriptive and transversal research analyzing sociodemographic (age, sex, marital status, educational background and income) and lifestyle (alcoholism, smoking and physical exercise) variables. RESULTS: Four hundred and twenty-four elderly people participated in the study, being 68.4% women aged 60-69 years old. There were more individuals aged 80 than 75-80 years (14.6%); predomination of marital status "married" (53.8%); most had studied for less than five years (60.1%), had family income between one and two minimum wages, and with two dependent people. The main expenses were related to feeding, health/drugs, and 75.7% of them made use of daily drugs, while 71.3% took from one to three drugs daily. Most of them did not consume alcoholic (85.6%), nor smoked (85.6%), and 48.3% of the elderly did not practice regular physical exercises. CONCLUSIONS: Based on the results of this study, the prevailing sociodemographic profile in the elderly is low income and poorer education; concerning lifestyle, most did not drink alcoholic beverages, smoke, or practice physical activity, and their main expenditure was feeding and health/drugs. In this context, it is understood that public health management has great challenges with ageing, such as enabling technicians and professionals develop inclusive policies that value more the elderly, as well as their caregivers and relatives, by offering adequate support.

Abstract

The Longitudinal Aging Study in India (LASI) aims to understand the situation of India’s elderly population by collecting data on their health, social situations, and economic circumstances. It will provide a foundation for innovative, rigorous, and multidisciplinary studies of aging in India that will inform policy and advance scientific knowledge. Its goal is to provide data harmonized with the Health and Retirement Study (HRS) and its sister studies around the world. A pilot study has been conducted that includes household survey data, Computer-Assisted Personal Interviews (CAPI) and molecular biomarkers. The results of the pilot study will inform the design of a full-scale, nationally representative LASI, with a sample of roughly 30,000 to be followed longitudinally (with refresher populations added as needed). Due to its harmonized design with parallel international studies, LASI will contribute to scientific insights and policy development in other countries as well. LASI will ultimately be part of a worldwide effort aimed at understanding how different institutions, cultures, and policies can understand and prepare for population ageing.

Documentation

You can download the pilot data at the Harvard Program on the Global Demography of Aging website

Methodology

The LASI pilot survey targeted 1,600 individuals aged 45 and older and their spouses, and will inform the design and rollout of a full-scale, nationally representative LASI survey. The expectation is that LASI will be a biennial survey and will be representative of Indians aged 45 and older, with no upper age limit.

1,600 age-qualifying individuals were drawn from a stratified, multistage area probability sampling design. After a series of pre-pilot studies designed to test the instrument and the key ideas behind it, pilot data were collected through face-to-face interviews over three month time periods. Descriptive analyses of the data will be performed and lessons will be drawn to inform the launching of a full-scale LASI survey.

The LASI pilot survey was conducted in four states: Karnataka, Kerala, Punjab, and Rajasthan. To capture regional variation we have included two northern states (Punjab and Rajasthan) and two southern states (Karnataka and Kerala). Karnataka and Rajasthan were included in the Study on Global AGEing and Adult Health (SAGE), which will enable us to compare our findings with the SAGE data. The inclusion of Kerala and Punjab demonstrates our aim to obtain a broader representation of India, where geographic variations accompanied by socioeconomic and cultural differences call for careful study and deliberation. Punjab is an example of an economically developed state, while Rajasthan is relatively poor, with very low female literacy, high fertility, and persisting gender disparities. Kerala, which is known for its relatively efficient health care system, has undergone rapid social development and is included as a potential harbinger of how other Indian states might evolve.

Projections of the Population (against the 1990 Census), By Age 65+ year old at individual State level: 1995 to 2025. Data provided by Census although I added calculations for percent change. (Numbers in thousands. Resident population. Series A projections. For more details, see Population Paper Listings #47, "Population Projections for States, by Age, Sex, Race, and Hispanic Origin: 1995 to 2025.")

In 2023, the U.S. states with the highest death rates from Alzheimer’s disease were Mississippi, Utah, and Arkansas. At that time, the death rate due to Alzheimer’s disease in Mississippi was 49.8 per 100,000 population. However, the state with the highest total number of deaths due to Alzheimer’s disease that year was California, with 16,035 such deaths. Alzheimer’s disease is among the leading causes of death in the U.S. As of 2023, Alzheimer’s disease was the sixth leading cause of death in the United States. The death rate due to Alzheimer’s disease in the U.S. has more than doubled over the past couple of decades, reaching an estimated 36 deaths per 100,000 population in 2022. Age is the biggest risk factor for Alzheimer’s, so it is no surprise that the death rate from the disease increases significantly with age. For example, in 2022, the Alzheimer’s death rate among those aged 85 years and older was around 1,132 per 100,000 population, compared to a rate of 206 per 100,000 population among those aged 75 to 84 years. How many people in the U.S. have Alzheimer’s disease? It was estimated that in 2020, around 6.1 million people aged 65 years and older in the United States were living with Alzheimer’s disease. This figure is expected to increase to around 8.5 million by the year 2030. A rise in life expectancy and the increasing elderly population go some ways in explaining the increase in Alzheimer's in the United States. However, a growing number of Americans are also living with known modifiable Alzheimer’s risk factors such as high blood pressure, obesity, and diabetes.

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;

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.