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.

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.

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: 2018-2022ACS Table(s): B01001, B09021, B17020, B18101, B23027, B25072, B25093, B27010, B28005, C27001B-IData downloaded from: Census Bureau's API for American Community Survey Date of API call: December 7, 2023The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis 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 RicoCensus 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.

Gerontology Aging Market Outlook

The global gerontology aging market size was valued at USD 780 billion in 2023 and is projected to reach USD 1,350 billion by 2032, growing at a CAGR of 6.3% during the forecast period. This robust growth is primarily driven by the increasing aging population worldwide, advancements in medical technology, and rising awareness about the importance of elderly care.

One of the primary growth factors for the gerontology aging market is the rapidly increasing elderly population across the globe. With advancements in healthcare, life expectancy has significantly increased, resulting in a higher percentage of the population being aged 65 and above. The World Health Organization (WHO) estimates that by 2050, the global population aged 60 years and older will total 2 billion, up from 900 million in 2015. This demographic shift necessitates enhanced geriatric care services and facilities, thus fueling market growth.

Another significant driver is the rising prevalence of chronic diseases among the elderly. Conditions such as arthritis, diabetes, cardiovascular diseases, and dementia are more common in older adults. Managing these chronic illnesses requires specialized care and services, which contributes to the expansion of the gerontology aging market. Additionally, the increasing awareness and focus on preventive healthcare measures among the elderly population is pushing the demand for wellness and prevention services.

Technological advancements in healthcare are also playing a crucial role in the growth of the gerontology aging market. Innovations such as telemedicine, remote patient monitoring, and electronic health records are enhancing the quality of care for the elderly. These technologies enable continuous monitoring of health conditions, timely medical interventions, and better management of chronic diseases, thereby improving the overall healthcare experience for the aging population.

Regionally, North America holds a significant share of the gerontology aging market due to its advanced healthcare infrastructure, high healthcare expenditure, and the presence of major market players. Europe follows closely, driven by a large elderly population and government initiatives supporting elderly care. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, attributed to the increasing aging population, improving healthcare infrastructure, and rising healthcare awareness.

Service Type Analysis

The gerontology aging market is segmented by service type into home care, adult day care, and institutional care. Each of these services addresses different needs and preferences of the elderly population, contributing uniquely to the market's growth.

Home care services are gaining popularity due to the preference for aging in place among the elderly. These services include personal care, medical care, and assistance with daily activities, allowing older adults to stay in their homes while receiving necessary support. The convenience and comfort of home care, coupled with technological advancements such as telehealth and home monitoring systems, are driving the growth of this segment.

Adult day care services provide a safe and supportive environment for elderly individuals during the day, offering social activities, meals, and healthcare services. These facilities are particularly beneficial for older adults who require supervision and assistance but do not need full-time residential care. The increasing number of dual-income families and the need for respite care for caregivers are significant factors contributing to the growth of the adult day care segment.

Institutional care, which includes nursing homes and assisted living facilities, remains a crucial component of the gerontology aging market. These institutions provide comprehensive care for elderly individuals who require constant medical attention and support. The demand for institutional care is driven by the rising prevalence of chronic diseases and the need for specialized care that cannot be provided at home. Additionally, the development of advanced facilities with specialized units for conditions like dementia and Alzheimer’s disease is boosting this segment.

Report Scope

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.

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. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR04204.v2. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

Age dependency ratio (% of working-age population) in United States was reported at 53.91 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Age dependency ratio (% of working-age population) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

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 30 to 34 years years with a population of 22.71 million (6.86%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in United States was the 80 to 84 years years with a population of 6.25 million (1.89%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group 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

United States US: Age Dependency Ratio: % of Working-Age Population data was reported at 52.268 % in 2017. This records an increase from the previous number of 51.652 % for 2016. United States US: Age Dependency Ratio: % of Working-Age Population data is updated yearly, averaging 52.247 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 66.700 % in 1962 and a record low of 49.442 % in 2009. United States US: Age Dependency Ratio: % of Working-Age Population 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 is the ratio of dependents--people younger than 15 or 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; Relevance to gender indicator: this indicator implies the dependency burden that the working-age population bears in relation to children and the elderly. Many times single or widowed women who are the sole caregiver of a household have a high dependency ratio.

United States US: Population: Female: Aged 65 and Above data was reported at 27,842,737.000 Person in 2017. This records an increase from the previous number of 27,037,960.000 Person for 2016. United States US: Population: Female: Aged 65 and Above data is updated yearly, averaging 18,235,236.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 27,842,737.000 Person in 2017 and a record low of 9,137,507.000 Person in 1960. United States US: Population: Female: Aged 65 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Population and Urbanization Statistics. Female population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2017 Revision.; Sum; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

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.

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

These data from the 1990 Census comprise a sample of households with at least one person 60 years and older, plus a sample of persons 60 years and older in group quarters. The data are grouped into housing variables and person variables. 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. 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. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR06219.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

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

Elderly Oriented Adaptation Market Outlook

The global elderly oriented adaptation market size was valued at approximately USD 150 billion in 2023, and is expected to reach USD 300 billion by 2032, growing at a compound annual growth rate (CAGR) of 8%. This significant growth is driven by several factors, including an aging global population, increased focus on elderly care, and advancements in adaptive technologies and services designed to enhance the quality of life for the elderly.

One of the primary growth factors in this market is the rapidly aging global population. According to the World Health Organization, the number of people aged 60 years and older is expected to more than double by 2050, reaching around 2.1 billion. This demographic shift is creating an unprecedented demand for products and services tailored to meet the needs of the elderly. As populations age, there is an increasing emphasis on maintaining independence and quality of life, which is driving the adoption of various elderly-oriented adaptations, from mobility aids to assistive technologies.

Additionally, technological advancements are playing a crucial role in the growth of the elderly oriented adaptation market. Innovations in healthcare and assistive technologies, such as advanced mobility aids, smart home systems, and wearable health monitoring devices, are making it easier for the elderly to manage their daily lives and health conditions. These advancements are not only improving the safety and well-being of the elderly but are also reducing the burden on caregivers and healthcare systems, thereby fostering market growth.

Moreover, increasing government support and favorable policies are contributing to market expansion. Many governments around the world are recognizing the importance of elder care and are implementing policies and programs aimed at supporting this demographic group. Funding for research and development in geriatric care, subsidies for adaptive equipment, and the promotion of age-friendly environments are some of the initiatives driving market growth. These supportive measures are encouraging businesses to invest in and develop innovative products and services for the elderly.

Regionally, North America is currently the largest market for elderly oriented adaptations, driven by a well-established healthcare system, high disposable incomes, and a significant elderly population. However, the Asia Pacific region is expected to witness the highest growth during the forecast period, owing to its large aging population, increasing healthcare expenditure, and growing awareness about elderly care solutions. Europe is also a significant market, supported by strong government initiatives and an aging demographic. The Middle East & Africa and Latin America are emerging markets, with growth potential driven by improving healthcare infrastructure and rising awareness.

Product Type Analysis

The elderly oriented adaptation market can be segmented by product type into mobility aids, daily living aids, assistive furniture, communication aids, and others. Each of these segments plays a crucial role in enhancing the quality of life for the elderly by addressing specific needs and challenges associated with aging.

Mobility aids, such as wheelchairs, walkers, and scooters, are essential for maintaining independence and mobility among the elderly. The demand for these products is driven by the increasing prevalence of mobility impairments and chronic conditions such as arthritis and osteoporosis. Technological advancements in this segment, including the development of lightweight and foldable designs, as well as the integration of smart features like GPS and automated braking systems, are further boosting market growth.

Daily living aids encompass a wide range of products designed to assist the elderly in performing everyday tasks. These include items such as adaptive utensils, dressing aids, and bathing equipment. The growing focus on enabling the elderly to live independently for as long as possible is fueling the demand for these products. Innovations in ergonomic design and the use of non-slip materials, as well as the development of automated solutions like robotic feeding arms, are enhancing the usability and appeal of daily living aids.

Assistive furniture, including adjustable beds, lift chairs, and specialized seating solutions, is another critical segment within the elderly oriented adaptation market. These products are designed to provide comfort and support, reduce the risk of falls, and faci

The global market for elderly culture and entertainment is experiencing robust growth, driven by several key factors. The aging global population is a primary driver, with a significant increase in the number of individuals aged 65 and above. This demographic shift creates a burgeoning demand for age-appropriate content and experiences tailored to their specific needs and interests. Technological advancements, particularly in digital platforms and accessibility features, are further fueling market expansion. Streaming services, social media platforms, and specialized online communities are connecting older adults with entertainment and social interaction opportunities, thereby reducing feelings of isolation and promoting engagement. The increasing disposable income among older adults in developed economies also contributes significantly to market growth, as they have more financial resources to spend on leisure and entertainment. However, challenges remain, such as the digital literacy gap among some older adults and the need for more inclusive and accessible content. Market segmentation plays a crucial role. The market caters to various interests, including travel, arts and crafts, educational programs, health and wellness activities, and social engagement opportunities. The market is highly competitive, with a mix of established players and new entrants vying for market share. Companies like Fan Deng, TikTok, Kuaishou, Xiaonian Gao, Bilibili, YouTube, and Facebook are all actively involved, albeit with different strategies and target audiences. While some platforms focus on broad appeal, others cater to niche interests within the elderly demographic. Regional variations are also significant, influenced by factors such as cultural norms, technological penetration, and government initiatives supporting senior citizens. North America and Europe are currently leading the market, but significant growth potential exists in rapidly developing economies in Asia and Latin America, particularly given the accelerated aging process in these regions. We project continued substantial growth in this sector over the next decade, exceeding 10% compound annual growth rate, fueled by the expanding elderly population and ongoing technological advancements.

This statistic presents the percentage of population aged 65 and over in the United States in 2019, distinguished by state. In 2019, about 21 percent of Florida's population was aged 65 and over. The national share stood at 16.5 percent.

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;

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).