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.

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

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.

Discover the booming Silver Economy market! This comprehensive analysis reveals key trends, growth projections (2025-2033), leading companies, and regional insights into the multi-trillion dollar industry serving the global aging population. Explore market segmentation, drivers, and restraints impacting senior care, travel, and financial services.

This statistic depicts the age distribution in the United States from 2014 to 2024. In 2024, about 17.32 percent of the U.S. population fell into the 0-14 year category, 64.75 percent into the 15-64 age group and 17.93 percent of the population were over 65 years of age. The increasing population of the United States The United States of America is one of the most populated countries in the world, trailing just behind China and India. A total population count of around 320 million inhabitants and a more-or-less steady population growth over the past decade indicate that the country has steadily improved its living conditions and standards for the population. Leading healthier lifestyles and improved living conditions have resulted in a steady increase of the life expectancy at birth in the United States. Life expectancies of men and women at birth in the United States were at a record high in 2012. Furthermore, a constant fertility rate in recent years and a decrease in the death rate and infant mortality, all due to the improved standard of living and health care conditions, have helped not only the American population to increase but as a result, the share of the population younger than 15 and older than 65 years has also increased in recent years, as can be seen above.

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.

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 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.

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.

About this dataset

Context

The dataset tabulates the data for the Norwood Young America, MN population pyramid, which represents the Norwood Young America 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 Norwood Young America, MN, is 29.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Norwood Young America, MN, is 30.7.
• Total dependency ratio for Norwood Young America, MN is 59.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Norwood Young America, MN is 3.3.

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

About this dataset

Context

The dataset tabulates the data for the Gustavus, AK population pyramid, which represents the Gustavus 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 Gustavus, AK, is 14.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Gustavus, AK, is 42.7.
• Total dependency ratio for Gustavus, AK is 56.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Gustavus, AK is 2.3.

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

In 2023, the median age of the population of the United States was 39.2 years. While this may seem quite young, the median age in 1960 was even younger, at 29.5 years. The aging population in the United States means that society is going to have to find a way to adapt to the larger numbers of older people. Everything from Social Security to employment to the age of retirement will have to change if the population is expected to age more while having fewer children. The world is getting older It’s not only the United States that is facing this particular demographic dilemma. In 1950, the global median age was 23.6 years. This number is projected to increase to 41.9 years by the year 2100. This means that not only the U.S., but the rest of the world will also have to find ways to adapt to the aging population.

Snapshot img

Geriatric Medicines Market Size 2025-2029

The geriatric medicines market size is forecast to increase by USD 57.3 billion at a CAGR of 7.5% between 2024 and 2029.

The market is experiencing significant growth due to the increasing geriatric population and the rise In therapeutic approaches for age-related diseases. The aging population is a major driver for this market as the elderly population is more susceptible to various health conditions and requires frequent medical intervention. Geriatric medicines include various therapeutic conditions, such as analgesics for pain management, antihypertensives for blood pressure control, statins for cholesterol reduction, antidiabetics for blood sugar management, proton pump inhibitors for gastrointestinal disorders, and anticoagulants for blood thinning. Additionally, the development of new therapeutic approaches and the reduction of side effects associated with geriatric medicines are also contributing to market growth. However, challenges such as the high cost of research and development, stringent regulatory requirements, and the complexity of geriatric diseases pose significant hurdles for market growth. Despite these challenges, the market is expected to continue its growth trajectory due to the increasing demand for effective treatments for age-related diseases.

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

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The market encompasses a diverse range of diagnoses, treatments, and preventive measures designed for the geriatric population, who are disproportionately affected by chronic disorders such as cardiovascular diseases, rheumatoid arthritis, neurological disorders, cancer, high cholesterol levels, and low immunity levels. This therapeutic category is experiencing significant growth due to the aging global population and the increasing prevalence of complex health conditions. Rapid recovery and effective management of these disorders are crucial to ensure the geriatric population maintains optimal health and independence.
Patented drugs and generic alternatives coexist in this market, with ongoing debates surrounding the balance between innovation and affordability. The geriatric population's polypharmacy and susceptibility to adverse side-effects necessitate a focus on developing safe and effective medicines. Medical tourism and cross-border trade also influence the market dynamics, as some patients seek more affordable options for geriatric medicines.

How is this Geriatric Medicines Industry segmented and which is the largest segment?

The geriatric medicines industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Distribution Channel

  Hospital pharmacies
  Retail pharmacies
  Online pharmacies


Type

  Analgesics
  Antidiabetics
  Antihypertensives
  Statins
  Others


Therapeutic Area

  Cardiovascular
  Neurology
  Respiratory
  Others


Form Factor

  Tablets
  Capsules
  Liquids
  Injectables


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy
    Spain


  Asia

    China
    India


  Rest of World (ROW)

By Distribution Channel Insights

The hospital pharmacies segment is estimated to witness significant growth during the forecast period.

Hospital pharmacies represent the largest distribution channel for geriatric medicines due to the increasing number of hospitalizations for chronic disorders among the geriatric population. These diseases include cardiovascular disorders such as hypertension and coronary heart disease, neurological disorders like Alzheimer's disease (AD), rheumatoid arthritis, and cancer. Geriatric medicines, including antihypertensives, antidiabetics, statins, antipsychotics, antidepressants, and anticoagulants, are extensively used in hospitals to diagnose, treat, and prevent these conditions. The high prevalence of chronic diseases among the elderly population necessitates the use of these medications, making hospital pharmacies a significant market for geriatric medicines. Additionally, the presence of medical infrastructure, such as hospital pharmacies, ensures rapid recovery and proper care for geriatric patients.

Get a glance at the Geriatric Medicines Industry report of share of various segments Request Free Sample

The hospital pharmacies segment was valued at USD 43.30 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 40% to the growth of the global market during the forecast period.

Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market sha

About this dataset

Context

The dataset tabulates the Middlesex County 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 Middlesex County. 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 to 64 years with a poulation of 539,162 (62.58% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 Middlesex County population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Middlesex County is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Middlesex County 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 Middlesex County Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Monterey Park, CA population pyramid, which represents the Monterey Park 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 Monterey Park, CA, is 20.6.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Monterey Park, CA, is 34.9.
• Total dependency ratio for Monterey Park, CA is 55.5.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Monterey Park, CA is 2.9.

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

Overview

This is a subset of the NPHA dataset filtered down to develop and validate machine learning algorithms for predicting the number of doctors a survey respondent sees in a year. This dataset’s records represent seniors who responded to the NPHA survey.

Dataset Information

For what purpose was the dataset created? The National Poll on Healthy Aging dataset was created to gather insights on the health, healthcare, and health policy issues affecting Americans aged 50 and older. By focusing on the perspectives of older adults and their caregivers, the University of Michigan aimed to inform the public, healthcare providers, policymakers, and advocates about the various aspects of aging. This includes topics like health insurance, household composition, sleep issues, dental care, prescription medications, and caregiving, thereby providing a comprehensive understanding of the health-related needs and concerns of the older population.

Who funded the creation of the dataset? The dataset was funded by AARP and Michigan Medicine, the University of Michigan's academic medical centre.

What do the instances in this dataset represent? Each row represents a survey respondent.

Does the dataset contain data that might be considered sensitive in any way? Yes. There is information about race/ethnicity, gender, age.

Was there any data preprocessing performed? For this subset of the original NPHA dataset we chose 14 features related to health and sleep to use for the prediction task. We then removed all survey respondents with missing responses for any of the chosen features.

Has Missing Values? No

Introductory Paper National Poll on Healthy Aging (NPHA) By Malani, Preeti N., Kullgren, Jeffrey, and Solway, Erica. 2017 Published in Inter-university Consortium for Political and Social Research

Additional Variable Information

Class Labels

Number of Doctors Visited: The total count of different doctors the patient has seen = { 1: 0-1 doctors 2: 2-3 doctors 3: 4 or more doctors }

Age: The patient's age group = { 1: 50-64 2: 65-80 }

Physical Health: A self-assessment of the patient's physical well-being = { -1: Refused 1: Excellent 2: Very Good 3: Good 4: Fair 5: Poor }

Mental Health: A self-evaluation of the patient's mental or psychological health = { -1: Refused 1: Excellent 2: Very Good 3: Good 4: Fair 5: Poor }

Dental Health: A self-assessment of the patient's oral or dental health= { -1: Refused 1: Excellent 2: Very Good 3: Good 4: Fair 5: Poor }

Employment: The patient's employment status or work-related information = { -1: Refused 6 1: Working full-time 2: Working part-time 3: Retired 4: Not working at this time }

Stress Keeps Patient from Sleeping: Whether stress affects the patient's ability to sleep = { 0: No 1: Yes }

Medication Keeps Patient from Sleeping: Whether medication impacts the patient's sleep = { 0: No 1: Yes }

Pain Keeps Patient from Sleeping: Whether physical pain disturbs the patient's sleep = { 0: No 1: Yes }

Bathroom Needs Keeps Patient from Sleeping: Whether the need to use the bathroom affects the patient's sleep = { 0: No 1: Yes }

Unknown Keeps Patient from Sleeping: Unidentified factors affecting the patient's sleep = { 0: No 1: Yes }

Trouble Sleeping: General issues or difficulties the patient faces with sleeping = { 0: No 1: Yes }

Prescription Sleep Medication: Information about any sleep medication prescribed to the patient = { -1: Refused 1: Use regularly 2: Use occasionally 3: Do not use }

Race: The patient's racial or ethnic background = { -2: Not asked -1: REFUSED 1: White, Non-Hispanic 2: Black, Non-Hispanic 3: Other, Non-Hispanic 4: Hispanic 5: 2+ Races, Non-Hispanic } Gender: The gender identity of the patient = { -2: Not asked -1: REFUSED 1: Male 2: Female }

Snapshot img

Senior Living Market Size 2025-2029

The senior living market size is forecast to increase by USD 130.9 billion, at a CAGR of 5.8% between 2024 and 2029.

Major Market Trends & Insights

North America dominated the market and accounted for a 44% growth during the forecast period.
By the Service - Assisted living segment was valued at USD 158.20 billion in 2023
By the Services - Healthcare Services segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 66.60 billion
Market Future Opportunities: USD 130.90 billion 
CAGR : 5.8%
North America: Largest market in 2023

Market Summary

The market is experiencing significant shifts as the global population ages, with the 60+ demographic projected to reach 1.4 billion by 2030. This demographic trend drives the demand for innovative solutions in long-term care, assisted living, and home health services. Technological advances are transforming senior care, with telehealth, mobile apps, and wearable devices enabling remote monitoring and improved care coordination. However, the sector faces challenges such as staffing shortages and workplace demands, with the US projected to have a shortage of 1.2 million healthcare workers by 2030.
Despite these challenges, the market's continuous evolution offers opportunities for growth, particularly in areas like technology integration, personalized care, and community-based services. The market's future lies in addressing the unique needs of an aging population while overcoming workforce challenges.

What will be the Size of the Senior Living Market during the forecast period?

Explore market size, adoption trends, and growth potential for senior living market Request Free Sample

The market represents a significant and continually evolving sector within the broader healthcare industry. According to recent data, this market experiences a steady growth of approximately 2.5% annually. Furthermore, future projections indicate a continuous expansion, with a projected increase of around 3% per annum. Comparing key numerical data, the senior population aged 65 and above is projected to double by 2050, while the number of senior living facilities is anticipated to grow by nearly 30% between 2020 and 2030. This growth trend is driven by demographic shifts and increasing demand for specialized care and services catering to the elderly population.
In addition, the market encompasses a diverse range of offerings, including assisted living, memory care, and independent living communities. The demand for these services varies, with assisted living experiencing a higher growth rate compared to independent living. This disparity can be attributed to the increasing prevalence of age-related diseases and the need for additional care and support. Despite the growth, challenges remain, including regulatory compliance, risk management, and financial planning. Addressing these challenges requires a multifaceted approach, incorporating elements such as quality assurance, caregiver support, and community engagement. Ultimately, the market represents a dynamic and evolving landscape, presenting both opportunities and challenges for businesses and stakeholders alike.

How is this Senior Living Industry segmented?

The senior living industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Service

  Assisted living
  Independent living
  CCRC


Services

  Healthcare Services
  Lifestyle and Wellness Programs
  Dining Services


Technology Integration

  Smart Home Systems
  Health Monitoring Devices
  Safety and Security Systems


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Service Insights

The assisted living segment is estimated to witness significant growth during the forecast period.

The market encompasses a range of services and arrangements designed to cater to the unique needs of aging adults. One significant segment within this market is assisted living, which provides apartment-style dwellings for seniors who require assistance with activities of daily living (ADL), such as bathing, laundry, and medication management. This segment may include specialized memory care units for individuals with cognitive impairments, such as Alzheimer's disease or dementia. These units often feature increased security measures, like extra surveillance equipment and locked doors, due to safety concerns. The number of companies entering this segment is growing, contributing to its expanding presence and potential growth during the forecast period.

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United States US: Population: Female: Aged 0-14 data was reported at 30,114,840.000 Person in 2017. This records an increase from the previous number of 30,081,369.000 Person for 2016. United States US: Population: Female: Aged 0-14 data is updated yearly, averaging 28,315,572.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 30,484,502.000 Person in 2010 and a record low of 24,746,954.000 Person in 1982. United States US: Population: Female: Aged 0-14 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 between the ages 0 to 14. 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.

The Commercialized Institutional Elderly Care Services market is poised for substantial expansion, projected to reach a market size of approximately $450 billion by 2025, with a compelling Compound Annual Growth Rate (CAGR) of around 7.5% through 2033. This robust growth is primarily fueled by the accelerating aging global population, leading to an increased demand for specialized senior living facilities and comprehensive care solutions. Key drivers include rising life expectancies, a growing awareness and preference for professional elder care over informal arrangements, and significant government initiatives and investments aimed at supporting the elderly population. Furthermore, technological advancements in healthcare and assistive living devices are enhancing the quality and efficiency of care, making these services more attractive to both seniors and their families. The market is witnessing a surge in demand across all segments of elderly care ability, from those requiring fully self-care services in independent living facilities to those needing intensive support in nursing homes and rehabilitation centers. The market's trajectory is also shaped by evolving consumer preferences and the increasing sophistication of service offerings. Trends such as the rise of specialized care for specific conditions like dementia, the integration of wellness and lifestyle programs within elder care facilities, and the adoption of smart technologies for monitoring and communication are creating new avenues for growth. However, challenges remain, including the high operational costs associated with providing quality care, potential labor shortages for skilled caregivers, and regulatory complexities across different regions. Despite these restraints, the expanding middle class in emerging economies, coupled with a greater willingness to invest in premium elderly care, presents a significant opportunity. Companies are focusing on strategic mergers, acquisitions, and innovative service models to capture market share and address the diverse needs of the aging demographic, particularly in regions like Asia Pacific and North America, which are expected to lead in market value and growth. Here is a unique report description on Commercialized Institutional Elderly Care Services, structured as requested and incorporating the provided details.