In 2022, about 17.3 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 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 in order to keep up. If a population is expected to live longer than the generations before, the economy will have to change as well in order 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 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.

Population 65+ by selected living arrangements. Estimates from US Census Bureau - American Community Survey 5-Year Estimates, 2014-2018.

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

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

In 2021, about 5.96 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.

About this dataset

Context

The dataset tabulates the Arlington population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Arlington. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 - 64 years with a poulation of 248,961 (63.46% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Arlington population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Arlington is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Arlington 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 Arlington Population by Age. You can refer the same here

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.

In 2021, there were 5,964,526 adults aged 65 and older living in California, the most out of all U.S. states, followed by Florida with almost 4.6 million adults aged 65 and older. Both California and Florida have some of the highest resident population figures in the United States.

The global healthcare giving industry, valued at $204.02 million in 2025, is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 12.20% from 2025 to 2033. This significant expansion is driven by several key factors. The aging global population, particularly in developed nations like those in North America and Europe, is creating a surge in demand for home healthcare and assisted living services. Furthermore, increasing awareness of the benefits of in-home care, coupled with advancements in telehealth technology enabling remote monitoring and support, is fueling market growth. The rising prevalence of chronic diseases and disabilities also contributes significantly, as individuals require ongoing assistance with daily activities and health management. Market segmentation reveals that daily essential activities assistance holds a substantial share, followed by health and safety awareness services, reflecting the multifaceted needs of the target population. The geriatric population constitutes the largest end-user segment, emphasizing the industry's critical role in supporting aging individuals within their homes and communities. Competitive dynamics within the healthcare giving industry are shaped by a mix of established players and emerging technology-driven companies. Established providers like AccentCare, Amedisys, and Brookdale offer comprehensive care services, while newer entrants like Cariloop and Honor Technology are leveraging technology to enhance efficiency and accessibility. Regional variations exist, with North America currently dominating the market due to a higher concentration of aging populations and advanced healthcare infrastructure. However, Asia Pacific is poised for significant growth driven by rapid economic development and a burgeoning elderly population. While challenges such as regulatory hurdles and workforce shortages exist, the long-term outlook for the healthcare giving industry remains exceptionally positive, underpinned by persistent demographic trends and technological innovation. Recent developments include: December 2022: Wellthy, Harvard Pilgrim Health Care, and Tufts Health Plan, both Point32 Health companies, are collaborating to help commercial members better manage their caregiving responsibilities., April 2022: Honor Technology, Inc. launched Honor Expert at the American Society on Aging Conference. Honor Expert is an online and mobile service that helps older people and their families with problems.. Key drivers for this market are: Increasing Online Care Services, Growing Burden of Chronic Diseases; Increasing Geriatric Population. Potential restraints include: Increasing Online Care Services, Growing Burden of Chronic Diseases; Increasing Geriatric Population. Notable trends are: Geriatric Population Segment is Expected to Hold a Significant Market Share Over the Forecast Period.

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).

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.

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

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

In 2022, among people aged 65 years and above who had health coverage, 40.3 percent non-Hispanic White Americans had private health insurance, while a further 36 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.

The number of Americans aged 65 and over with Alzheimer's disease is projected to more than double by 2060, reaching **** million. This significant increase highlights the growing challenge of caring for an aging population, particularly those affected by dementia. As the prevalence of Alzheimer's rises, it will have far-reaching impacts on healthcare, families, and society as a whole. Aging population trends The surge in Alzheimer's cases is closely tied to broader demographic shifts in the United States. By 2050, it's estimated that 22 percent of the American population will be 65 years or older, up from 17.3 percent in 2022. This rapid aging of the population is expected to strain healthcare systems and change the nature of work and retirement. Challenges of aging in place As the number of older adults with Alzheimer's increases, there is a growing desire among seniors to age in their own homes. A 2024 survey found that ************** of adults aged 50 and older strongly or somewhat agreed they would like to remain in their current residence for as long as possible. This preference is even stronger among those 65 and older, with ** percent expressing this desire. However, the ability to age in place may be compromised by declining physical capabilities, as only about *** in **** adults aged 72 and older reported being fully able to perform self-care and mobility activities in 2021.

The global market for digital smart elderly care solutions is experiencing robust growth, driven by an aging global population and increasing demand for convenient, effective, and remote monitoring capabilities. The market, estimated at $15 billion in 2025, is projected to experience a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $45 billion by 2033. This expansion is fueled by several key factors, including technological advancements in sensor technology, AI-powered analytics, and telehealth platforms. Governments worldwide are also increasingly investing in supportive infrastructure and policies encouraging the adoption of these solutions, further bolstering market growth. The cloud-based segment currently dominates the market due to its scalability, cost-effectiveness, and accessibility, while the North American market holds a significant share, driven by high technological adoption rates and a sizeable elderly population. However, challenges remain, including data privacy concerns, the digital literacy gap among older adults, and the high initial investment costs associated with implementing comprehensive smart elderly care systems.
The market segmentation reveals strong performance across various application areas, with family-based solutions leading the way, followed by nursing homes and other institutional settings. The technology is evolving rapidly, creating opportunities for companies like Philips, IBM, Siemens, GE Healthcare, and others to innovate and develop advanced solutions incorporating features such as fall detection, medication reminders, and remote health monitoring. While the market is witnessing substantial growth, competition among established players and emerging startups is likely to intensify in the coming years. Future success will depend on developing user-friendly interfaces, addressing data security and privacy issues effectively, and offering affordable solutions accessible across various socioeconomic backgrounds. Geographical expansion into developing economies with rapidly aging populations represents significant untapped potential for growth and market penetration.

About this dataset

Context

The dataset tabulates the data for the Covington, LA population pyramid, which represents the Covington 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 Covington, LA, is 27.6.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Covington, LA, is 28.8.
• Total dependency ratio for Covington, LA is 56.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Covington, LA is 3.5.

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 Covington population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Covington for the selected age group is shown in the following column.
• Population (Female): The female population in the Covington for the selected age group is shown in the following column.
• Total Population: The total population of the Covington 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 Covington Population by Age. You can refer the same here

The global elder care and geriatrics services market is experiencing robust growth, driven by an aging global population and increasing prevalence of chronic diseases among older adults. The market is segmented by service provider type (private and public) and application (home and institutional). Private service providers, offering personalized in-home care and assisted living facilities, currently dominate the market due to increasing demand for higher quality, customized care. However, the public sector plays a crucial role, particularly in providing subsidized care and supporting vulnerable populations. The market is geographically diverse, with North America and Europe holding significant market shares due to a higher concentration of elderly individuals and established healthcare infrastructure. However, rapidly aging populations in Asia-Pacific are expected to fuel significant growth in this region over the forecast period. Technological advancements, such as telehealth and remote patient monitoring, are transforming the sector, enabling more efficient and accessible care delivery. This trend is expected to further accelerate growth, especially in regions with limited healthcare resources. Challenges remain, including workforce shortages, escalating healthcare costs, and the need for consistent regulatory frameworks to ensure quality of care across various service settings. Future growth will be influenced by government policies supporting elder care, advancements in geriatric medicine, and the evolving preferences of older adults towards age-in-place options and personalized care. The market's Compound Annual Growth Rate (CAGR) is projected to remain strong throughout the forecast period (2025-2033), reflecting the continuous expansion of the elderly population and the increasing demand for specialized geriatric services. While specific CAGR figures were not provided, considering the substantial growth drivers and industry trends, a conservative estimate would place the CAGR between 5% and 7% annually. Key players in the market are actively involved in mergers and acquisitions, expanding their service portfolios, and focusing on technological integration to improve efficiency and expand market reach. Competition is expected to intensify as more players enter the market, driven by the lucrative growth potential. Successful strategies for market participants include investing in advanced technology, expanding service offerings, and building strong partnerships with healthcare providers and insurers. Strong emphasis on providing high-quality, personalized care will be essential for success in this rapidly evolving market.

Retirement Communities Market Outlook

The global retirement communities market size was valued at approximately USD 250 billion in 2023 and is projected to reach around USD 400 billion by 2032, growing at a CAGR of about 5%. This growth is primarily driven by the aging global population, an increase in life expectancy, and changing lifestyle preferences among seniors. The shift towards comprehensive care and the integration of health and wellness services within retirement communities have further fueled this market's expansion. As societies worldwide continue to experience demographic shifts, the demand for retirement communities that offer a blend of healthcare, hospitality, and recreational amenities is expected to surge, underpinning the robust growth trajectory of the sector.

The burgeoning aging population is one of the primary growth factors for the retirement communities market. As advances in healthcare continue to improve life expectancy, a significant proportion of the global population is projected to fall within the senior age bracket, necessitating adequate living solutions for them. This demographic shift is particularly pronounced in developed regions such as North America and Europe, where a considerable percentage of the population is transitioning into retirement age. Additionally, emerging economies in Asia Pacific are also witnessing an increase in the elderly population, driven by improved healthcare infrastructure and living standards. This demographic evolution necessitates the development of retirement communities equipped with facilities that cater to both the healthcare and lifestyle needs of seniors.

Another significant growth factor is the increased financial independence and spending power among seniors. With many from the baby boomer generation having accrued substantial savings and investments, there is a growing willingness to spend on quality living environments that provide comfort, security, and access to healthcare and recreational activities. This financial capability, coupled with the desire for a community living environment that offers social interaction and reduces isolation, is a key driver for the retirement communities market. Furthermore, these communities are increasingly incorporating technology to enhance the quality of life for residents, with features such as telemedicine, smart home technologies, and digital health monitoring, which are appealing to the tech-savvy senior demographic.

Moreover, the changing societal norms and lifestyle preferences among the elderly are also contributing to the market's growth. TodayÂ’s seniors are more active and health-conscious than ever before, seeking retirement communities that offer wellness programs, fitness centers, and social activities that align with their lifestyle choices. The emphasis on holistic well-being has led to a rise in integrated community models that provide a continuum of care, from independent living to assisted living and nursing care, allowing seniors to age in place with dignity and peace of mind. This trend is expected to intensify in the coming years, further propelling the growth of the retirement communities market globally.

In recent years, the concept of Smart Communities has emerged as a transformative force within the retirement sector. These communities leverage advanced technologies to create interconnected environments that enhance the quality of life for residents. By integrating smart home devices, IoT solutions, and data-driven services, Smart Communities offer personalized and efficient living experiences. This technological integration not only improves safety and convenience for seniors but also promotes sustainable living practices. As the demand for tech-savvy solutions grows, retirement communities are increasingly adopting smart technologies to meet the evolving expectations of their residents, positioning themselves at the forefront of innovation in senior living.

Regionally, North America currently holds the largest share of the retirement communities market, driven by a well-established infrastructure, high disposable incomes, and a significant aging population. Europe follows closely, benefiting from similar demographic trends and a strong emphasis on social welfare programs for the elderly. Meanwhile, the Asia Pacific region is anticipated to exhibit the highest growth rate over the forecast period, fueled by rapid urbanization, economic growth, and increasing healthcare investments. Countries such as China, Japan, and India are at the forefront of this expansion, as they adapt to th