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.

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.

According to a survey carried out by the Ministry of Statistics and Programme Implementation in 2021 in India, Kerala reflected the highest population of old aged people amounting to almost 17 percent. In 2031, this value is projected to go up to almost 21 percent.

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 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

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.

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

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

Almost 31 percent of those aged 65 and older in the United States were obese in 2022. In comparison, in 2013 slightly less than 27 percent of adults aged 65 years and older were obese. What is the most obese U.S. state? As of 2022, the state with the highest share of adults who were obese was West Virginia. At that time, around 41 percent of the adult population of West Virginia was obese. In comparison, around 25 percent of adults in Colorado were obese, making it the state with the lowest rate of adult obesity. Behind West Virginia, the other states with the highest obesity rates include Louisiana, Oklahoma, and Mississippi. Other health risks among older adults One of the biggest lifestyle health risks is smoking. In 2021, just under nine percent of American adults aged 65 or older smoked cigarettes. Another major health risk for the elderly is the risk of falling. It was estimated that around 27 percent of elderly American adults fell in 2020.

OBJECTIVE: To determine the characteristics of elderly who died by falling in Rio Grande do Sul state, Brazil, from 2006 to 2011. METHODS: We analyzed 2,126 deaths from falls in the state from 2006 to 2011, registered in the Brazilian Mortality Information System. Statistical analyzes were performed using the SPSS 17.0 computer application. RESULTS: The chance of death from falls in the elderly is significantly higher for females, age group above 69 years and elderly people with white skin color, widowed or single. There was a 41.8% increase in specific mortality rates fall during the study period, the highest rate occurring in 2011 31.56 deaths fall among 100,000 elderly, higher for females and age 80 years or more. CONCLUSION: It was found that the mortality rate from falls increased from 2006 to 2011 in that state, being highest for those aged 80 and over, relevance of results for the development of public policies for the elderly.

A data set of a multicohort study of persons 70 years of age and over designed primarily to measure changes in the health, functional status, living arrangements, and health services utilization of two cohorts of Americans as they move into and through the oldest ages. The project is comprised of four surveys: * The 1984 Supplement on Aging (SOA) * The 1984-1990 Longitudinal Study of Aging (LSOA) * The 1994 Second Supplement on Aging (SOA II) * The 1994-2000 Second Longitudinal Study of Aging (LSOA II) The surveys, administered by the U.S. Census Bureau, provide a mechanism for monitoring the impact of proposed changes in Medicare and Medicaid and the accelerating shift toward managed care on the health status of the elderly and their patterns of health care utilization. SOA and SOA II were conducted as part of the in-person National Health Interview Survey (NHIS) of noninstitutionalized elderly people aged 55 years and over living in the United States in 1984, and at least 70 years of age in 1994, respectively. The 1984 SOA served as the baseline for the LSOA, which followed all persons who were 70 years of age and over in 1984 through three follow-up waves, conducted by telephone in 1986, 1988, and 1990. The SOA covered housing characteristics, family structure and living arrangements, relationships and social contracts, use of community services, occupation and retirement (income sources), health conditions and impairments, functional status, assistance with basic activities, utilization of health services, nursing home stays, and health opinions. Most of the questions from the SOA were repeated in the SOA II. Topics new to the SOA II included use of assistive devices and medical implants; health conditions and impairments; health behaviors; transportation; functional status, assistance with basic activities, unmet needs; utilization of health services; and nursing home stays. The major focus of the LSOA follow-up interviews was on functional status and changes that had occurred between interviews. Information was also collected on housing and living arrangements, contact with children, utilization of health services and nursing home stays, health insurance coverage, and income. LSOA II also included items on cognitive functioning, income and assets, family and childhood health, and more extensive health insurance information. The interview data are augmented by linkage to Medicare enrollment and utilization records, the National Death Index, and multiple cause-of-death records. Data Availability: Copies of the LSOA CD-ROMs are available through the NCHS or through ICPSR as Study number 8719. * Dates of Study: 1984-2000 * Study Features: Longitudinal * Sample Size: ** 1984: 16,148 (55+, SOA) ** 1984: 7,541(70+, LSOA) ** 1986: 5,151 (LSOA followup 1) ** 1988: 6,921 (LSOA followup 2) ** 1990: 5,978 (LSOA followup 3) ** 1994-6: 9,447 (LSOA II baseline) ** 1997-8: 7,998 (LSOA II wave 2) ** 1999-0: 6,465 (LSOA II wave 3) Link: * LSOA 1984-1990 ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/08719

This data collection describes the social conditions of the older population of the United States at the turn of the century. Detailed information, extracted from the 1900 United States Census manuscript schedules, is provided on household composition and family structure for each sampled older person. Ecological characteristics of the county of residence, e.g., the percentage of the county's population that is foreign born, are provided for most sampled older persons. In addition, occupational and ethnic characteristics of family heads appearing on the same sampled census page as the older person (on census pages grouped by street location) are reported.

OBJECTIVE: To identify major health problems, drug usage profile and drug-related problems (DRPs) involved in the treatment of frail elderly people of Zona da Mata of Minas Gerais state, Brazil. METHODS: The study assessed 260 medical records of elderly patients served by Centro Mais Vida, Juiz de Fora-MG, between August and September 2010. The diseases were grouped according to the International Classification of Diseases - 10th review, the drugs according to the Anatomical Therapeutic Chemical Classification System and the DRPs according to the Dáder method. RESULTS: It was observed that 73.8% of the elderly people were female and 42.7% were aged 60-69 years. We found 1,300 diseases, of which 31.07% were of circulatory system, 19.85% endocrine, nutritional and metabolic diseases and 13.46% of the musculoskeletal system and connective tissue. Among the 1,737 drugs, the ones of cardiovascular system (42.8%), followed by alimentary tract and metabolism (23.7%) and nervous system (18.2%) were the most prevalent. Among all drugs, 53.9% presented some DRPs, being DRP 1 (not using the drug needed) the most frequent (37.4%). CONCLUSION: The results highlight the need to review drug regimens of elderly patients, aiming to encourage rational and effective use of medicines. The data also show the need for more complete studies about the evaluation of DRP risks in the elderly population.

California leads the nation in the number of older adults with Alzheimer's disease, with nearly 720,000 individuals affected in 2020. This sobering statistic highlights the significant impact of Alzheimer's across the United States, with populous states bearing the heaviest burden. Florida and Texas follow closely behind, each with over 450,000 older residents living with the disease. Projected growth The prevalence of Alzheimer's among older Americans is expected to rise dramatically in the coming decades. By 2030, an estimated 8.5 million people aged 65 and over will be living with Alzheimer's in the United States. This projection underscores the urgent need for improved prevention, treatment, and care strategies to address the growing impact of the disease on individuals, families, and healthcare systems. Mortality and healthcare burden Alzheimer's disease remains a significant cause of mortality in the United States, with 36 deaths per 100,000 people recorded in 2022. The disease's impact on the healthcare system is substantial and growing. Costs to Medicare and Medicaid are projected to reach 637 billion U.S. dollars by 2050, highlighting the economic challenges associated with caring for an aging population increasingly affected by Alzheimer's. Early detection and intervention strategies are crucial in managing the disease's progression and potentially reducing its long-term burden on individuals and society.

Abstract This study aimed to investigate the relation between the physical activities level and falls prevalence among elderly people in the city of Florianopolis, state of Santa Catatina, Brazil. It is an epidemiological , cross-sectional and descriptive study, carried out in the city of Florianópolis, Brazil. The sampling, of statistical type and stratified by census section and sex, resulted in a sample of 875 senior citizens. The instruments adopted for data collection were the Questionnaire Brazil Old Age Schedule (BOAS) and the International Questionnaire of Physical Activities (IPAQ) long version. Results pointed out that 59.3% of seniors were considered more active ones. Seniors who suffered falls during the period of three months before the interview reached the amount of 11.4% and most of them were more active people. There was statistical association between falls and the variables: problems in the feet (p=0,002) and articulations (p=0,006). It concludes that it is necessary to prevent falls and, at the same time, to stimulate physical activities free from risks for the elderly population.

This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program's "The Emergency Food Assistance Program (TEFAP)" - Total Food Cost by state for the fiscal years 2003-2007. TEFAP is a Federal program that helps supplement the diets of low-income needy persons, including elderly people, by providing them with emergency food and nutrition assistance. *Food costs are the value of entitlement and bonus commodities delivered to State warehouses during the fiscal year. Data are subject to revision.

This is a development key figure, see questions and answers on kolada.se for more information. Number of people aged 65 and over who reported “Very good” or “fairly good” on the question “How do you assess your general state of health?” divided by all people aged 65 and older in ordinary living with home care who responded to the survey of older people’s perception. “Do not know/No opinion” is excluded from the denominator. Data from 2012. Data is available according to gender breakdown.