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.

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

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

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.

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.

Preparation of this data collection was funded by grant

90-A-1279 from the United States Department of Health and Human

Services, Administration on Aging. Estimates of the population of persons 60 years old and older were received from the Census Bureau in printed form and were made machine-readable by staff at ICPSR. Other variables contained in this dataset were merged from existing machine-readable census files. The data concerning racial composition of counties were taken from the CENSUS OF POPULATION AND HOUSING, 1980 [UNITED STATES]: P.L. 94-171 POPULATION COUNTS (ICPSR 7854). The figures concerning per capita income were taken from the Bureau of the Census, GENERAL REVENUE SHARING, 1978 POPULATION ESTIMATES (ICPSR 7840). Variables include Federal Information Processing Standard (FIPS) state and county codes, 1978 per capita income of county, and total population of county broken down by sex, race, and age (in four-year increments with a category for persons 75 years old and older).

About this dataset

Context

The dataset tabulates the data for the Baltimore County, MD population pyramid, which represents the Baltimore County population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Baltimore County, MD, is 28.2.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Baltimore County, MD, is 27.7.
• Total dependency ratio for Baltimore County, MD is 55.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Baltimore County, MD is 3.6.

Content

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

Age groups:

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

Variables / Data Columns

• Age Group: This column displays the age group for the Baltimore County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Baltimore County for the selected age group is shown in the following column.
• Population (Female): The female population in the Baltimore County for the selected age group is shown in the following column.
• Total Population: The total population of the Baltimore County for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Baltimore County Population by Age. You can refer the same here

In 2023, among people in the United States aged 65 years and above, **** percent had healthcare coverage through Medicare Advantage. This statistic illustrates the distribution of health insurance coverage among adults aged 65 and above in the U.S. in 2023.

The global commercialized institutional elderly care services market is experiencing robust growth, driven by an aging global population and increasing demand for professional care solutions. The market size in 2025 is estimated at $500 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This expansion is fueled by several key factors. Firstly, the rising prevalence of chronic diseases among the elderly necessitates specialized care, increasing the demand for nursing homes, rehabilitation institutions, and elderly apartments. Secondly, shifting demographics, with a larger proportion of the population entering old age, significantly contributes to market growth. Thirdly, advancements in medical technology and care practices are improving the quality of life for elderly individuals and driving demand for specialized services. Finally, increasing government initiatives and supportive healthcare policies in several regions are also fostering market growth. The market segmentation reveals significant opportunities across various service types and elderly care needs. While elderly apartments cater to those with full or semi self-care abilities, nursing homes and rehabilitation institutions focus on individuals requiring more intensive care. The "Other" segment encompasses a broad range of services tailored to specific needs, such as assisted living facilities and home healthcare services. The application-based segmentation highlights the diverse needs within the elderly population, with the non-self-care elderly segment representing a significant market share. Geographical distribution shows considerable variation, with developed regions like North America and Europe exhibiting higher market penetration compared to developing economies in Asia and Africa. However, the latter regions hold considerable growth potential due to their rapidly aging populations and increasing disposable incomes. The competitive landscape is dynamic, with both established players and emerging companies vying for market share through innovations in service delivery, technology integration, and expansion strategies.

About this dataset

Context

The dataset tabulates the data for the Morgan Hill, CA population pyramid, which represents the Morgan Hill population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Morgan Hill, CA, is 34.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Morgan Hill, CA, is 22.2.
• Total dependency ratio for Morgan Hill, CA is 56.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Morgan Hill, CA is 4.5.

Content

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

Age groups:

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

Variables / Data Columns

• Age Group: This column displays the age group for the Morgan Hill population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Morgan Hill for the selected age group is shown in the following column.
• Population (Female): The female population in the Morgan Hill for the selected age group is shown in the following column.
• Total Population: The total population of the Morgan Hill for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Morgan Hill Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Florida City, FL population pyramid, which represents the Florida City population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Florida City, FL, is 40.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Florida City, FL, is 20.2.
• Total dependency ratio for Florida City, FL is 61.1.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Florida City, FL is 5.0.

Content

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

Age groups:

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

Variables / Data Columns

• Age Group: This column displays the age group for the Florida City population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Florida City for the selected age group is shown in the following column.
• Population (Female): The female population in the Florida City for the selected age group is shown in the following column.
• Total Population: The total population of the Florida City for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Florida City Population by Age. You can refer the same here

This data collection describes the social conditions of the older population of the United States in the late nineteenth century. Variables include personal characteristics such as age, sex, marital status, race, birthplace, number of children, and occupation of sampled older persons. Detailed information, extracted from the 1880 United States Census manuscript census schedules, is provided on household composition and family structure. 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. The data collection consists of three independent samples: (1) a national sample, (2) a Southern urban sample, and (3) a Southern Black sample. Older Blacks are over-represented in the Southern urban and Southern Black samples in order to focus on their family experiences in the urban and rural South.

Abstract (en): The Census 2000: Special Tabulation on Aging provides information for each of the 50 states along with the District of Columbia and Puerto Rico with a special focus on persons age 60 and older. Population topics (Tables P001 through P116 for each state and state equivalent file) include basic population totals, age, sex, race, Hispanic or Latino origin, households and families, group quarters, marital status, grandparents as caregivers, ability to speak English, place of birth, citizenship status, migration, educational attainment, veteran status, disability, employment status, income, and poverty status. Household topics (tables H01 through H69) include tenure (owner occupied or renter occupied), household size, units in structure, year structure was built, availability of plumbing and kitchen facilities, and whether meals are included in the rent and value of home. Both the population and housing subjects may be cross tabulated. Files are organized according to the ten regions as defined by the Administration on Aging. Each table provides information at a number of geographical levels: United States (50 states + DC), state, Planning and Service Area (PSA -- the geographic area served by a single area agency on aging), county, county subdivision in 12 states with a population of 2,500 or more, places with a population of 2,500 or more, and census tract, as well as American Indian and Alaska Native areas. Also, the urban and rural components of states and PSAs are shown. The data are in the form of Excel tables. The technical documentation provides extensive details about such topics as the tabulation specifications, the geographical levels shown, how to use the statistical tables, and the measures used to protect confidentiality. All persons and housing units in the United States and Puerto Rico. 2013-10-01 This study was previously distributed on DVD only. The contents of the DVD are now available for public download from ICPSR as three zipped packages. Funding insitution(s): United States Department of Commerce. Bureau of the Census. United States Department of Health and Human Services. Administration on Aging.

Snapshot img

US Senior Living Market Size 2025-2029

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

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

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

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The market encompasses a range of services designed to address the unique needs of an aging population, including long-term care, end-of-life care, palliative care, hospice care, respite care, adult day care, home health services, geriatric care, and various forms of cognitive and behavioral health support. This market is driven by demographic trends, with the global population of individuals aged 65 and above projected to reach 1.5 billion by 2050. 


Key challenges in this market include addressing cognitive decline, social isolation, fall prevention, medication management, nutritional support, mobility assistance, personal care assistance, continence management, and other aspects of daily living. Additionally, there is a growing focus on quality of life, resident satisfaction, staffing ratios, caregiver training, technology adoption, and regulatory compliance. The aging services network is evolving to provide a continuum of care, from independent living to palliative care, with a focus on evidence-based practices, industry best practices, and regulatory compliance.

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

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

By Service Type Insights

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

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

Market Dynamics

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

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

An aging population is the key driver of the market. The market in the US is experiencing significant grow

Elderly Dating Platform Market Outlook

The global elderly dating platform market size was valued at approximately USD 1.5 billion in 2023 and is projected to reach around USD 3.8 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 11.0% during the forecast period. This remarkable growth can be attributed to the increasing adoption of digital platforms by the elderly population, combined with rising social acceptance and the desire for companionship among senior citizens.

One of the primary growth factors driving the elderly dating platform market is the growing elderly population worldwide. As the global population ages, the number of people aged 60 and above continues to rise, leading to a higher demand for social interaction and companionship. This demographic shift is particularly pronounced in regions such as North America and Europe, where life expectancy is higher and the proportion of elderly individuals is significant. Furthermore, technological advancements and increased internet penetration have made it easier for older adults to access online services, including dating platforms.

Another significant growth factor is the changing societal attitudes towards dating and relationships among the elderly. In the past, seniors were often perceived as asexual or uninterested in romantic relationships. However, this perception is rapidly changing as more elderly individuals seek companionship and romantic connections. The increasing acceptance of online dating as a legitimate and safe means of meeting potential partners has also contributed to the market's growth. Media portrayals and success stories of elderly couples who met online have further normalized the concept, encouraging more seniors to explore online dating options.

The convenience and accessibility of elderly dating platforms are also major factors driving market growth. These platforms offer user-friendly interfaces, personalized matchmaking algorithms, and a wide range of features tailored to the needs and preferences of older adults. For instance, many platforms provide safety features such as background checks and privacy controls to ensure a secure and comfortable dating experience. Additionally, the availability of mobile apps has made it easier for seniors to connect with potential partners on the go, further boosting the market's expansion.

The emergence of the Online Love Rush phenomenon has significantly influenced the elderly dating platform market. This trend highlights the increasing enthusiasm among seniors to explore romantic relationships through digital means. The Online Love Rush is characterized by a surge in online interactions and connections, driven by the convenience and accessibility of modern technology. For many elderly individuals, this represents a new avenue to rediscover companionship and love, often leading to meaningful and lasting relationships. As more seniors become comfortable with digital communication, the Online Love Rush is expected to continue shaping the dynamics of the dating market, encouraging platforms to innovate and cater to this growing demographic.

From a regional perspective, North America and Europe are currently the largest markets for elderly dating platforms, driven by a high percentage of the elderly population and widespread internet access. However, the Asia Pacific region is expected to witness the fastest growth during the forecast period. This is due to the rapidly aging population in countries like Japan and China, coupled with increasing internet penetration and the growing acceptance of online dating. Latin America and the Middle East & Africa regions also present significant growth opportunities, albeit at a slower pace, as internet accessibility and societal attitudes towards online dating continue to evolve.

Service Type Analysis

The elderly dating platform market can be segmented by service type into four main categories: online dating, mobile dating, matchmaking services, and social dating. Each service type caters to different preferences and technological comforts of the elderly demographic. Online dating platforms have traditionally been the most popular, offering a wide range of features such as profile creation, search filters, and messaging services. These platforms are often accessed through desktop computers, making them suitable for older adults who may not be as comfortable using smartphones.

Mobile dating platforms, on the other h

United States US: Population: Male: Aged 65 and Above data was reported at 22,361,776.000 Person in 2017. This records an increase from the previous number of 21,574,948.000 Person for 2016. United States US: Population: Male: Aged 65 and Above data is updated yearly, averaging 12,488,410.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 22,361,776.000 Person in 2017 and a record low of 7,349,868.000 Person in 1960. United States US: Population: Male: 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. Male 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;

Active Population: Aged 55-64: Females for the United States was 12728580.00000 Persons in January of 2024, according to the United States Federal Reserve. Historically, Active Population: Aged 55-64: Females for the United States reached a record high of 13056166.66667 in January of 2019 and a record low of 2985916.66667 in January of 1960. Trading Economics provides the current actual value, an historical data chart and related indicators for Active Population: Aged 55-64: Females for the United States - last updated from the United States Federal Reserve on August of 2025.

About this dataset

Context

The dataset tabulates the data for the Fremont, NE population pyramid, which represents the Fremont population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Fremont, NE, is 34.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Fremont, NE, is 30.5.
• Total dependency ratio for Fremont, NE is 65.0.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Fremont, NE is 3.3.

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 for the Fremont population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Fremont for the selected age group is shown in the following column.
• Population (Female): The female population in the Fremont for the selected age group is shown in the following column.
• Total Population: The total population of the Fremont for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Fremont Population by Age. You can refer the same here

Working Age Population: Aged 15-24: All for the United States was 38972330.00000 Persons in January of 2024, according to the United States Federal Reserve. Historically, Working Age Population: Aged 15-24: All for the United States reached a record high of 39339170.00000 in January of 2023 and a record low of 20461333.33333 in January of 1960. Trading Economics provides the current actual value, an historical data chart and related indicators for Working Age Population: Aged 15-24: All for the United States - last updated from the United States Federal Reserve on July of 2025.