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TwitterIn 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.
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TwitterIn 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.
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TwitterPopulation 65+ by selected living arrangements. Estimates from US Census Bureau - American Community Survey 5-Year Estimates, 2014-2018.
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TwitterThis 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.
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Context
The dataset tabulates the data for the New York County, NY population pyramid, which represents the New York 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for New York County Population by Age. You can refer the same here
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TwitterThis statistic presents the percentage of the population aged 65 and over in the United States in 2019, distinguished by state. In 2019, about ** percent of Florida's population was aged 65 and over. The national share stood at **** percent.
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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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Baltimore County Population by Age. You can refer the same here
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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.
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TwitterThis is a special extract of the 2000 Census 5-Percent Public Use Microdata Samples (PUMS) created by the National Archive of Computerized Data on Aging (NACDA). The file combines the individual 5-percent state files for all 50 states, the District of Columbia, and Puerto Rico as released by the United States Census Bureau into a single analysis file. The file contains information on all households that contain at least one person aged 65 years or more in residence as of the 2000 Census enumeration. The file contains individual records on all persons aged 65 and older living in households as well as individual records for all other members residing in each of these households. Consequently, this file can be used to examine both the characteristics of the elderly in the United States as well as the characteristics of individuals who co-reside with persons aged 65 and older as of the year 2000. All household variables from the household-specific "Household record" of the 2000 PUMS are appended to the end of each individual level record. This file is not a special product of the Census Bureau and is not a resample of the PUMS data specific to the elderly population. While it is comparable to the 1990 release CENSUS OF POPULATION AND HOUSING, 1990: UNITED STATES: PUBLIC USE MICRODATA SAMPLE: 3-PERCENT ELDERLY SAMPLE (ICPSR 6219), the sampling procedures and weights for the 2000 file reflect the methodology that applies to the 5-percent PUMS release CENSUS OF POPULATION AND HOUSING, 2000 UNITED STATES: PUBLIC USE MICRODATA SAMPLE: 5-PERCENT SAMPLE (ICPSR 13568). Person variables cover age, sex, relationship to householder, educational attainment, school enrollment, race, Hispanic origin, ancestry, language spoken at home, citizenship, place of birth, year of immigration, place of residence in 1985, marital status, number of children ever born, military service, mobility and personal care limitation, work limitation status, employment status, occupation, industry, class of worker, hours worked last week, weeks worked in 1989, usual hours worked per week, temporary absence from work, place of work, time of departure for work, travel time to work, means of transportation to work, total earnings, total income, wages and salary income, farm and nonfarm self-employment income, Social Security income, public assistance income, retirement income, and rent, dividends, and net rental income. Housing variables include area type, state and area of residence, farm/nonfarm status, type of structure, year structure was built, vacancy and boarded-up status, number of rooms and bedrooms, presence or absence of a telephone, presence or absence of complete kitchen and plumbing facilities, type of sewage facilities, type of water source, type of heating fuel used, property value, tenure, year moved into house/apartment, type of household/family, type of group quarters, household language, number of persons in the household, number of persons and workers in the family, status of mortgage, second mortgage, and home equity loan, number of vehicles available, household income, sales of agricultural products, payments for rent, mortgage and property tax, condominium fees, mobile home costs, and cost of electricity, water, heating fuel, and flood/fire/hazard insurance. (Source: downloaded from ICPSR 7/13/10)
Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR04204.v2. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.
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TwitterIndex of Geographic Concentration of Elderly Population - 2004 or latest available year
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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.
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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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Fremont Population by Age. You can refer the same here
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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.
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The U.S. Senior Living Market is anticipated to witness steady growth, with a projected market valuation of 1,302.32 billion by 2033, representing a 4.16% CAGR during the forecast period (2025-2033). The growing elderly population, increasing demand for long-term care services, and favorable government policies are key drivers of this market. The increasing prevalence of chronic diseases among seniors is also fueling the demand for skilled nursing and assisted living facilities. The market is segmented based on facility type, with skilled nursing facilities, assisted living facilities, active adult communities/independent living, and memory care facilities being the major segments. Leading companies in the market include Genesis Healthcare, Brookdale Senior Living Solutions, and Extendicare. The Southeast region is projected to account for the largest market share, owing to the growing elderly population and the presence of a large number of senior living facilities in the region. Strategic initiatives by healthcare service providers to expand their presence and offer specialized services are expected to contribute to the growth of the market in the years to come. Overview: The U.S. senior living market is projected to reach $823 billion by 2030, driven by a growing elderly population and increasing demand for specialized care. Recent developments include: In July 2024, the Centers for Medicare & Medicaid Services announced on July 8 that over 400 participants have joined a new initiative aimed at enhancing dementia care. The Guiding an Improved Dementia Experience Model, which commenced on July 1, aims to alleviate the burden on unpaid caregivers by providing care coordination and management, and respite services. , In May 2024, PACS Group announced its intention to acquire the operations of 53 skilled nursing facilities, as well as assisted and independent living facilities, spread across eight states. This expansion will introduce PACS Group to five new markets across the country. , In September 2023, A Place for Mom unveiled Nursinghomes.com, marking its entry into the nursing home sector as a prominent online referral platform. .
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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;
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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?
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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.
Another ess
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TwitterThis dataset displays countries that had ten percent or more of their population age 65 and older. This data was collecte through agingstats.gov.
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Context
The dataset tabulates the data for the Festus, MO population pyramid, which represents the Festus 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Festus Population by Age. You can refer the same here
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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.
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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 growth due
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TwitterHow many people live in nursing homes? As of 2024, there were around 1.2 million residents in nursing homes across the United States. The states with the highest numbers of residents in certified nursing facilities were, by far, California and New York, with over 99,000 and 98,000 residents, respectively. On the other hand, Alaska had the lowest number of nursing home residents. Occupancy rates and recovery The COVID-19 pandemic significantly impacted nursing home occupancy rates nationwide. Prior to the pandemic, the median occupancy rate for skilled nursing facilities hovered around 80 percent. However, this figure plummeted to 67 percent by 2021. As of July 2024, occupancy rates for certified nursing homes have begun to recover, reaching 77 percent. This gradual increase suggests a slow but steady return to pre-pandemic levels. Quality concerns and financial penalties Despite the crucial role nursing homes play, quality issues persist in some facilities. In 2024, Aspen Point Health and Rehabilitation in Missouri faced 208 substantiated complaints, the highest number nationwide. Financial penalties for serious violations can be severe, as evidenced by the 1.41 million U.S. dollar fine imposed on Siesta Key Health And Rehabilitation Center in Florida over a three-year period. These cases underscore the ongoing challenges in maintaining high standards of care across the industry.
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TwitterIn 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.