25 datasets found
  1. Largest care home operators in England 2022, by market share

    • statista.com
    Updated Oct 15, 2022
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    Statista (2022). Largest care home operators in England 2022, by market share [Dataset]. https://www.statista.com/statistics/1364995/largest-care-home-operators-in-england/
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    Dataset updated
    Oct 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    England
    Description

    In 2022, HC-One was the largest care home operator in England with a market share of *** percent. This was closely followed by Barchester with a market share of *** percent, while Care UK had a *** percent share of the English care home market.

  2. i

    Care Homes Database

    • infinity-db.co.uk
    xlsx
    Updated Sep 26, 2022
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    Infinity Databank (2022). Care Homes Database [Dataset]. https://infinity-db.co.uk/care-homes-database/
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Sep 26, 2022
    Dataset authored and provided by
    Infinity Databank
    License

    https://infinity-db.co.uk/https://infinity-db.co.uk/

    Description

    Our care homes database contains residential and nursing care homes, and includes valid care home email addresses by size and region.

  3. Nursing bed stock operated by largest care home operators in the United...

    • statista.com
    Updated Jun 11, 2020
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    Statista (2020). Nursing bed stock operated by largest care home operators in the United Kingdom 2019 [Dataset]. https://www.statista.com/statistics/1117404/leading-retirement-homes-operators-by-nursing-beds-united-kingdom/
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    Dataset updated
    Jun 11, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United Kingdom
    Description

    In 2019, HC-One Ltd was the largest care home operator in the United Kingdom (UK), with a bed stock of over ******. Four Seasons Health Care (FSHC) and Barchester Healthcare completed the top three with ****** and ****** beds respectively.

  4. Nursing home costs covered by authorities or insurance in Europe 2020, by...

    • statista.com
    Updated Jul 2, 2025
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    Statista (2025). Nursing home costs covered by authorities or insurance in Europe 2020, by country [Dataset]. https://www.statista.com/statistics/1239864/nursing-homes-costs-covered-by-public-authorities-or-insurance-in-europe/
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    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Europe
    Description

    In 2020, the share of daily nursing home costs that are handled by public authorities or insurances varies greatly from one European country to another. How European countries regulate nursing home costs depends on their public health expense policies. Long-term care is a significant part of a country’s healthcare expenditure. To a certain extent, health costs and medical expenses are financed by local authorities, national or regional health insurance, and national nursing care insurance. In Ireland, ** percent of the cost per day of a nursing home was borne by the financial support derived from the Fair Deal Scheme. In Czechia, only ** percent of the daily nursing home costs were supported by health insurance. The complex landscape of European nursing homes In 2020, the landscape of nursing homes in Europe was diverse with different shares of homes owned by public or private institutions. During that year, over ** percent of nursing homes were publicly owned in Norway and Denmark. Within privately owned homes, some were for-profit and others not. For instance, ** percent of nursing homes were owned by for-profit private companies in the UK, whereas ** percent of nursing homes were owned by the private non-profit sector in the Netherlands. Therefore, the share of nursing home beds managed by the public or private sector was also very different from one European country to another. The costs of nursing homes in Europe In 2019, the average daily cost of a care home could reach over *** euros in some European countries and less than ** euros in others. During that year, the average monthly cost of a care home amounted to **** euros in the United Kingdom and Germany. The cost of care homes is expected to increase as the need will escalate in Europe due to its aging population. Nonetheless, European health systems rely significantly on informal care, a potentially risky strategy.

  5. Home Healthcare Market Analysis, Size, and Forecast 2025-2029: North America...

    • technavio.com
    pdf
    Updated Apr 23, 2025
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    Technavio (2025). Home Healthcare Market Analysis, Size, and Forecast 2025-2029: North America (US, Canada, and Mexico), Europe (France, Germany, Russia, and UK), and APAC (China, India, and Japan) [Dataset]. https://www.technavio.com/report/home-healthcare-market-industry-analysis
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    pdfAvailable download formats
    Dataset updated
    Apr 23, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    United States
    Description

    Snapshot img

    Home Healthcare Market Size 2025-2029

    The home healthcare market size is forecast to increase by USD 492.7 million, at a CAGR of 15.2% between 2024 and 2029.

    The market is experiencing significant growth due to the increasing preference for quality healthcare services care in the comfort of one's own home. Patient satisfaction is at an all-time high as home healthcare offers flexibility, convenience, and personalized care. However, this market faces a notable challenge that the rising incidence of life-threatening diseases necessitating home healthcare services puts immense pressure on the availability of home healthcare professionals (HCPs).
    This shortage poses a significant challenge for providers, requiring innovative solutions to ensure adequate staffing and maintain the high-quality care expected by patients. Companies that can effectively address this challenge and provide reliable, high-quality medical devices and home healthcare services will be well-positioned to capitalize on the market's potential for growth.
    

    What will be the Size of the Home Healthcare Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    The market continues to evolve, shaped by various sectors and dynamic market activities. Registered nurses (RNs) and other healthcare professionals, including pediatric care specialists, occupational therapists, and home healthcare agencies, deliver personalized care to patients in need. This care encompasses a range of services, from companion care and wound care to rehabilitation therapy and hospice care. Home healthcare software and patient portals facilitate efficient care coordination and medication management, ensuring HIPAA compliance. The aging population's increasing demand for in-home care necessitates continuous workforce development through employee training and quality improvement initiatives. Cost-effective solutions, such as homemaker services and telehealth services, address the chronic disease epidemic and hospital readmissions.

    Value-based care and patient satisfaction are key drivers, with healthcare outcomes and diabetes management being crucial focus areas. Assistive devices, including mobility aids and oxygen therapy, enhance the quality of life for patients, while remote patient monitoring and in-home care provide essential support for those with complex conditions. Home infusion therapy and skilled nursing care ensure comprehensive care for patients with chronic diseases. The market's ethical considerations and regulatory landscape continue to unfold, with ongoing compliance regulations and Data Security measures ensuring the highest standards of care. Private insurance coverage and care coordination further strengthen the industry's foundation, enabling it to adapt and thrive in the ever-changing healthcare landscape.

    How is this Home Healthcare Industry segmented?

    The home healthcare industry 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.

    Type
    
      Products
      Services
      Solutions
    
    
    Application
    
      Medical treatment
      Preventive healthcare
    
    
    Age Group
    
      Adults
      Geriatric
      Pediatric
    
    
    Disease Type
    
      Cardiovascular disorder and hypertension
      Diabetes and kidney disorders
      Cancer
      Wound care
      Others
    
    
    Geography
    
      North America
    
        US
        Canada
        Mexico
    
    
      Europe
    
        France
        Germany
        Russia
        UK
    
    
      APAC
    
        China
        India
        Japan
    
    
      Rest of World (ROW). 
    

    By Type Insights

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

    The market encompasses a range of services and products, including Speech-Language Pathologists, Medical Supplies, Home Care Franchises, Mental Health Services, Medical Social Workers, and HIPAA Compliance. Post-Hospital Care, Personalized Care, and Home Healthcare Cost-Effectiveness are key drivers in the market. Ethical Considerations, Palliative Care, and Chronic Disease Epidemic require ongoing Quality Improvement to address Hospital Readmissions and Chronic Disease Management. Value-Based Care prioritizes Patient Satisfaction and Healthcare Outcomes, with Diabetes Management a significant focus. Home Healthcare Agencies employ various professionals such as Homemaker Services, Physical Therapists, Oxygen Therapy Providers, Home Health Aides, Personal Care Services, Telehealth Services, and Home Infusion Therapy specialists.

    Compliance Regulations necessitate Patient Portals and Registered Nurses (RNs) for care coordination. Pediatric Care, Occupational Therapists, Companion Care, Wound Care, and Geriatric Care cater to diverse patient needs. The Home Healthcare Workforce relies on

  6. c

    Antibiotic Prescribing in Care Homes: A Multidisciplinary Approach, 2022

    • datacatalogue.cessda.eu
    Updated Sep 26, 2025
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    Marwick, C; Grant, S; Dickson, J; Lorencatto, F; Atkins, L; Herbec, A (2025). Antibiotic Prescribing in Care Homes: A Multidisciplinary Approach, 2022 [Dataset]. http://doi.org/10.5255/UKDA-SN-856006
    Explore at:
    Dataset updated
    Sep 26, 2025
    Dataset provided by
    University of Dundee
    University College London
    Authors
    Marwick, C; Grant, S; Dickson, J; Lorencatto, F; Atkins, L; Herbec, A
    Time period covered
    Sep 30, 2017 - Jun 29, 2022
    Area covered
    United Kingdom
    Variables measured
    Individual, Organization, Group
    Measurement technique
    Deposited data include: transcripts of interviews, focus groups and a co-design workshop, and; repsonses to questionnaire surveys.Documents supporting data collection are also deposited along with co-designed intervention materials.Participants were care home managers, staff, residents and resident's relatives, plus healthcare professionals (General Practitioners (GPs) and Advanced Nurse Practitioners (ANPs) and pharmacists) involved in antibiotic use in care homes. The co-design workshop in Work Package 4 (WP4) also included representatives from wider organisations that support and/or manage care homes.Care homes for invitation to participate in WP2, WP3 and WP4 were purposively sampled based on data analysis from WP1. Within recruited care homes, individual participants were invited to paricipate through a combination of purposive (representing different staff groups/levels) and opportunistic (who was available within the overall purposive framing).Questionnaire surveys in WP3 were sent to all care homes and general practices in the study regions, not restricted to recruited care homes.
    Description

    ARCH was a multidisciplinary, four Work Package, project involving key stakeholders to improve understanding, and ultimately practice, around infection detection/management and antibiotic use in care homes for older people.

    WP1 used statistical analysis of anonymised quantitative data, finding wide variation in antibiotic prescribing rates, and informing selection of care homes for WP2/3. WP1 data are held by Health Informatics Centre (HIC), University of Dundee (https://www.dundee.ac.uk/hic/).

    WP2 and WP3 used anthropology, sociology and behavioural science to investigate individual, socio-cultural and contextual factors influencing antibiotic use, conducting ethnographic observations (61 periods, ~315hrs), interviews (n=101) and surveys (n=76) with care home managers, nurses, carers, senior carers, GPs, advanced nurse practitioners, pharmacists, residents and their relatives, across 7 care homes (survey broader). Observations and interviews highlighted variation in how suspected infections were identified and managed. Identified factors influencing antibiotic prescribing included: limited training around infections; lack of confidence in distinguishing infections from other conditions, and in ‘watchful waiting’; habitual/routine use of urine dip testing; the importance of communication internally and externally; limited handover documentation; duty of care linked to worry about ‘missing something’; antibiotic resistance a distant problem; pressure from family and residents, and; antibiotic stewardship not seen as care home staff’s role.

    WP4: Behavioural science intervention development frameworks were applied to integrated WP1-3 findings to identify candidate intervention strategies, prioritised by a co-design workshop (20 care home sector participants) into an intervention including: training (videos and online), appointment of Antibiotic Champions, an Assessment Flowchart, a Monitoring Tool, an SBAR (Situation-Background-Assessment-Recommendation) form for communication between care homes and GPs/ANPs, and reminder stickers. The feasibility trial was impacted by COVID-19 but some in-situ testing and online focus groups found that participants liked the intervention and were keen to engage. Implementation challenges included understaffing, protecting time for training, and balance between standardisation and individual contextual adaptation.

    Bacteria that cause common infections are becoming increasingly resistant to currently available antibiotics. Antibiotics are essential in modern healthcare but their use drives the development of resistance as bacteria develop ways of surviving their effects. Previous research has found that antibiotics are often used when they are not needed, which increases the development of resistance in bacteria. Older people living in care homes are prescribed many more antibiotics than average and as a result often get antibiotic resistant infections later, which are then harder to treat. The amount of antibiotics used in different care homes varies a lot but we don't really know why. Most research on finding ways to safely reduce antibiotic use has been carried out in hospitals or GP surgeries rather than care homes. There is general agreement that antibiotic use in care homes could and should be safely reduced. However, to design effective approaches to reducing antibiotic prescribing for care home residents we need to understand more about how, when and why they get prescribed, from the perspectives of nurses, carers, GPs, and residents and their relatives.

    Researchers with different areas of expertise will work together in a four-stage project:

    1. Measuring patterns of antibiotic use (epidemiology): We will analyse information on antibiotic prescribing and antibiotic resistance for all care home residents in two Scottish health board regions. As well examining the link between antibiotic prescribing and later antibiotic resistance, this will help us better understand how common antibiotic use is, which residents are prescribed, and variation in prescribing between care homes. This information will also be used to invite care homes with different patterns of antibiotic use to participate in the next stages of the project.

    2. Understanding how and why antibiotic prescribing happens in different care homes (sociology and social anthropology): We will work with staff, GPs, residents and relatives in eight care homes. We will observe how staff and GPs work together and react to residents being unwell, and how this leads to antibiotic prescribing. We will also interview staff, GPs, residents and relatives to understand how the way the care home and general practices are organised influences the care different residents receive. This will help us identify new approaches to improving antibiotic prescribing decisions.

    3. Identifying staff behaviours that could be changed to reduce antibiotic prescribing (health psychology): We will also carry out more focussed...

  7. Word category correlations.

    • plos.figshare.com
    xls
    Updated Jun 21, 2024
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    Mariyana Schoultz; Claire Mcgrogan; Clare Carolan; Leah Macaden; Michelle Beattie (2024). Word category correlations. [Dataset]. http://doi.org/10.1371/journal.pone.0303609.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mariyana Schoultz; Claire Mcgrogan; Clare Carolan; Leah Macaden; Michelle Beattie
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IntroductionRecruitment of care home staff to research studies is recognised as challenging. This was further exacerbated by the COVID-19 pandemic and the associated negative media portrayal of care home workers. Social media use has surged since the onset of COVID-19 lockdowns, offering a plausible approach to understanding the barriers to care home research recruitment and gaining insight into public perceptions of care home workers.AimTo utilise comments from two Facebook recruitment posts to: 1) gain an understanding of potential barriers to recruitment of healthcare workers (HCWs) in UK care homes, and 2) explore public sentiment towards care home research and care homes in the context of the COVID-19 pandemic.MethodsThis cross-sectional study analysed comments from two Facebook posts (available June-October 2021) advertising a separate study on psychological support for care staff during the pandemic. This study was situated within a larger investigation into the mental health and wellbeing of care home staff and employed both qualitative analysis and quantitative methods (word count and correlations between words used and between posts).ResultsThree themes were identified from the qualitative analysis: support, mistrust and blame. There was a greater use of words associated with support and negative emotive words in post 2. Post 2 comments featured significantly more choice words and first-person singular pronouns than post 1 which indicated a resentful sentiment from those who advocate freedom of choice and control. Discussion of mistrust towards researchers was most prominent in post 1 indicating the importance of relationship building between researchers and HCWs in UK care homes. With attribution to blame, there was a larger range of negative emotion words than positive emotion words.Discussion and conclusionTaken together our findings offer novel insights into why recruitment to care home research during the pandemic including the use of social media might be problematic. Social media is a useful tool for recruitment but should not be considered as a one-time input. Researchers should pro-actively engage with the study population from the start using co-design with resident and public groups to support recruitment and ensure these populations are accurately represented within research.

  8. 2

    HSE

    • datacatalogue.ukdataservice.ac.uk
    Updated Sep 26, 2025
    + more versions
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    UK Data Service (2025). HSE [Dataset]. http://doi.org/10.5255/UKDA-SN-4487-1
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    Dataset updated
    Sep 26, 2025
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Area covered
    England
    Description

    The Health Survey for England (HSE) is a series of surveys designed to monitor trends in the nation's health. It was commissioned by NHS Digital and carried out by the Joint Health Surveys Unit of the National Centre for Social Research and the Department of Epidemiology and Public Health at University College London.

    The aims of the HSE series are:
    • to provide annual data about the nation’s health;
    • to estimate the proportion of people in England with specified health conditions;
    • to estimate the prevalence of certain risk factors associated with these conditions;
    • to examine differences between population subgroups in their likelihood of having specific conditions or risk factors;
    • to assess the frequency with which particular combinations of risk factors are found, and which groups these combinations most commonly occur;
    • to monitor progress towards selected health targets
    • since 1995, to measure the height of children at different ages, replacing the National Study of Health and Growth;
    • since 1995, monitor the prevalence of overweight and obesity in children.
    The survey includes a number of core questions every year but also focuses on different health issues at each wave. Topics are revisited at appropriate intervals in order to monitor change.

    Further information about the series may be found on the NHS Digital Health Survey for England; health, social care and lifestyles webpage, the NatCen Social Research NatCen Health Survey for England webpage and the University College London Health and Social Surveys Research Group UCL Health Survey for England webpage.

    Changes to the HSE from 2015:
    Users should note that from 2015 survey onwards, only the individual data file is available under standard End User Licence (EUL). The household data file is now only included in the Special Licence (SL) version, released from 2015 onwards. In addition, the SL individual file contains all the variables included in the HSE EUL dataset, plus others, including variables removed from the EUL version after the NHS Digital disclosure review. The SL HSE is subject to more restrictive access conditions than the EUL version (see Access information). Users are advised to obtain the EUL version to see if it meets their needs before considering an application for the SL version.

    COVID-19 and the HSE:
    Due to the COVID-19 pandemic, the HSE 2020 survey was stopped in March 2020 and never re-started. There was no publication that year. The survey resumed in 2021, albeit with an amended methodology. The full HSE resumed in 2022, with an extended fieldwork period. Due to this, the decision was taken not to progress with the 2023 survey, to maximise the 2022 survey response and enable more robust reporting of data. See the NHS Digital Health Survey for England - Health, social care and lifestyles webpage for more details.

    The Health Survey for England, 2000 (HSE00) consisted of two samples. The general population sample was a national cross-section sample. Up to two children aged 2-15 years were interviewed in each household, as well as up to 10 adults aged 16 years and over. All private households in the general population sample were eligible for inclusion in the survey (up to a maximum of three households per address).

    Running alongside the general population sample was a care homes sample, selected from the Laing and Bussion database. The sample contained nursing, residential, dual-registered and small residential homes and covered local authority, voluntary and privately-owned care homes. Up to six people aged 65 and over were selected for interview at each care home, and given a cognitive functioning test to see whether they were capable of being interviewed in person. Proxy interviews for those who were not capable of being interviewed were introduced in June 2000.

    For the fourth edition (July 2011), the GHQ12 variables were amended to correct errors in the GHQ12 scores. See document 'Note about GHQ12 problems in HSE Data' for details.

  9. T-test analysis for word counts.

    • plos.figshare.com
    xls
    Updated Jun 21, 2024
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    Mariyana Schoultz; Claire Mcgrogan; Clare Carolan; Leah Macaden; Michelle Beattie (2024). T-test analysis for word counts. [Dataset]. http://doi.org/10.1371/journal.pone.0303609.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mariyana Schoultz; Claire Mcgrogan; Clare Carolan; Leah Macaden; Michelle Beattie
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IntroductionRecruitment of care home staff to research studies is recognised as challenging. This was further exacerbated by the COVID-19 pandemic and the associated negative media portrayal of care home workers. Social media use has surged since the onset of COVID-19 lockdowns, offering a plausible approach to understanding the barriers to care home research recruitment and gaining insight into public perceptions of care home workers.AimTo utilise comments from two Facebook recruitment posts to: 1) gain an understanding of potential barriers to recruitment of healthcare workers (HCWs) in UK care homes, and 2) explore public sentiment towards care home research and care homes in the context of the COVID-19 pandemic.MethodsThis cross-sectional study analysed comments from two Facebook posts (available June-October 2021) advertising a separate study on psychological support for care staff during the pandemic. This study was situated within a larger investigation into the mental health and wellbeing of care home staff and employed both qualitative analysis and quantitative methods (word count and correlations between words used and between posts).ResultsThree themes were identified from the qualitative analysis: support, mistrust and blame. There was a greater use of words associated with support and negative emotive words in post 2. Post 2 comments featured significantly more choice words and first-person singular pronouns than post 1 which indicated a resentful sentiment from those who advocate freedom of choice and control. Discussion of mistrust towards researchers was most prominent in post 1 indicating the importance of relationship building between researchers and HCWs in UK care homes. With attribution to blame, there was a larger range of negative emotion words than positive emotion words.Discussion and conclusionTaken together our findings offer novel insights into why recruitment to care home research during the pandemic including the use of social media might be problematic. Social media is a useful tool for recruitment but should not be considered as a one-time input. Researchers should pro-actively engage with the study population from the start using co-design with resident and public groups to support recruitment and ensure these populations are accurately represented within research.

  10. Senior Living Market Analysis, Size, and Forecast 2025-2029: North America...

    • technavio.com
    pdf
    Updated Dec 27, 2024
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    Technavio (2024). Senior Living Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, UK), Middle East and Africa , APAC (China, India, Japan), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/senior-living-market-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Dec 27, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    United States
    Description

    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.

    Another ess

  11. u

    Healthier Working Lives for over Fifties Working in Residential Care,...

    • datacatalogue.ukdataservice.ac.uk
    Updated Aug 11, 2025
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    McKie, L, King's College London (2025). Healthier Working Lives for over Fifties Working in Residential Care, 2022-2023 [Dataset]. http://doi.org/10.5255/UKDA-SN-857762
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    Dataset updated
    Aug 11, 2025
    Authors
    McKie, L, King's College London
    Area covered
    United Kingdom
    Description

    The collection consists of two data sets: ethnographic data and co-design data.

    Ethnographic data: At the first point of contact, care home managers were approached via one researcher working for Scottish Care, who attended closed forum meetings and pitched the programme to wider audiences who had preestablished connections to Scottish Care. These conversations were later followed up with 1:1 calls with the research team to further explain the programme and answer any questions which the care home staff might have, as well as talking about the planned in-person ethnographic work. Through these personal conversations, the researchers were able to build rapport and trust with the managers prior to meeting up on site, and then continued to deepen these relationships during field visits. The researchers emphasised that they were there to listen and connect with the staff in their familiar working environments, and ensured that any promised actions (i.e. vouchers to thank staff for their time) would be followed up promptly.

    The ‘deep hanging about’ approach was helpful for the fieldwork in multiple ways. Firstly, it often served as a conversation opener (i.e. being in a certain area in the home where staff would work, which made it easy to approach workers i.e. asking about the machines in the laundry room, the steep stairs leading to certain areas, etc). It also put the staff at ease when talking to us since they were in a familiar space. Some staff would spontaneously offer us tours of the home or take us around the gardens to show us some of the work they did with/for the residents, i.e. gardening, the social spaces and staff rooms where people would mingle, which in turn led to further conversations with new people as well as unique insights happening at short notice. In addition to notes, forty four interviews were undertaken. These are combined in data from each of the six homes.

    CoDesign data from work undertaken in the same 6 residential homes: October 2022 to March 2023 workshops in the six care homes structured using the novel Ripple Framework to enable engagement in uncertain times. Total of 310 person engagement points; 6 homes x 7 participants x 5 activities = 210. Approximately 40 care workforce participants engaged over the two phases, representing diverse roles and experiences (domestic, key worker, carer, senior carer, manager, owner) as well as care sector leads (Scottish Care), and three start-up businesses.

    Participants built confidence in voicing their experience, developed their creativity, and defined their own priorities for change at different levels – local workforce culture, organisational use of technology, and sector-wide training development, all with a view to maximising quality time staff are able to spend with residents, and raising the external validation of their profession (thereby satisfying value-driven motivation for the work).

    Data collection centred on methods such as the Circle of Care; how this is defined and impacts on work cultures, and what ideas might be further developed to enhance retention, recruitment and wellbeing at work.

    It is generally accepted that being in good quality, safe work is beneficial for one's physical and mental wellbeing. If this is the case, being able to work healthily and happily for longer would be significant step toward meeting the UK's Healthy Ageing Challenge that people should be benefitting from five more healthy and independent years of life by 2035. However, the work can be physically and emotionally demanding, and it remains poorly rewarded. The care sector is worth circa £15.9billion to the UK economy, with over 5,500 providers. Over 80% of workers are women, with 21% of BAME origin, and some 30% are aged 50 plus with many of this age group working in supervisory and managerial roles. The composition of the care workforce also reflects inequalities, reinforced by Covid-19 with the lower paid, older and BAME workers have disproportionately experienced illness and deaths across 2020. At that time there were 120,000 vacancies many filled by agency workers (with increased risked of virus transmission). The research team comprised the universities of Edinburgh and King’s College London along with a range of partners; Scottish Care, which represents 400 organisations in the private, not for profit and charities sector of residential provision, Legal & General, one of the UK's leading providers of retirement villages, Codebase the largest technology incubator in the UK, which offers mentorship for the deployment of ideas, and design consultants Creative Venue. The team worked closely with care staff and the research team to explore and co-design possible solutions to the health, recruitment and retention, and professional development challenges that care workers face daily. Across four stages over 36 months, the project reviewed existing knowledge, engaged with care sector staff to consider their priorities for working and role development, and drew upon ideas and activities across the team as a whole to run co-design workshops, develop ideas for outputs and products, along with a final review of the process and application of outcomes. At every stage, the role of the team was one of listening, exploring, ensuring critical conversations can take place in safe and exploratory ways, with ideas considered and potentially taken forward. Our Knowledge Network, co-chaired by Sophie Bowlby (Academic, Third Sector Board Member) and Stephen Coleman (CodeBase), ensured engagement from workers, care providers, design, incubator, and technology groups.

  12. Impact of person-centred care training and person-centred activities on...

    • data.niaid.nih.gov
    • explore.openaire.eu
    • +1more
    zip
    Updated Jan 11, 2019
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    Clive Ballard; Anne Corbett; Martin Orrell; Gareth Williams; Esme Moniz-Cook; Renee Romeo; Bob Woods; Lucy Garrod; Ingelin Testad; Barbara Woodward-Carlton; Jennifer Wenborn; Martin Knapp; Jane Fossey (2019). Impact of person-centred care training and person-centred activities on quality of life, agitation, and antipsychotic use in people with dementia living in nursing homes: a cluster-randomised controlled trial [Dataset]. http://doi.org/10.5061/dryad.75373
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jan 11, 2019
    Dataset provided by
    Alzheimer's Societyhttp://alzheimers.org.uk/
    King's College London
    Stavanger University Hospital
    Oxford Health NHS Foundation Trust
    University of Hull
    Bangor University
    London School of Economics and Political Science
    University of Nottingham
    University of Exeter
    University College London
    Authors
    Clive Ballard; Anne Corbett; Martin Orrell; Gareth Williams; Esme Moniz-Cook; Renee Romeo; Bob Woods; Lucy Garrod; Ingelin Testad; Barbara Woodward-Carlton; Jennifer Wenborn; Martin Knapp; Jane Fossey
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    UK
    Description

    Background: Agitation is a common, challenging symptom affecting large numbers of people with dementia and impacting on quality of life (QoL). There is an urgent need for evidence-based, cost-effective psychosocial interventions to improve these outcomes, particularly in the absence of safe, effective pharmacological therapies. This study aimed evaluate the efficacy of a person-centered care and psychosocial intervention (WHELD) on QoL, agitation and antipsychotic use in people with dementia living in nursing homes, and to determine its cost. Methods and Findings: This was a randomized controlled cluster trial conducted between 1st January 2013 and 30th September 2015 which compared the WHELD intervention with treatment as usual in people with dementia living in 69 UK nursing homes, using an intention to treat analysis. All nursing homes allocated to the intervention received staff training in person-centered care (PCC), social interaction (SoI) and education regarding antipsychotic medications (AM) followed by ongoing delivery through a care staff champion model. Primary outcome measure was QoL (DEMQOL-proxy). Secondary outcomes were agitation (Cohen Mansfield Agitation Inventory), neuropsychiatric symptoms (NPI), antipsychotic use, global deterioration (CDR), mood (Cornell Scale for Depression in Dementia CSSD), unmet needs (Camberwell Assessment of Need in the Elderly CANE), mortality, quality of interactions (Quality of Interactions Scale –QUIS), pain (Abbey) and cost. Costs were calculated using cost function figures compared with usual costs. 847 people were randomized to WHELD or treatment as usual, of whom 553 completed the nine-month RCT. The intervention conferred a statistically significant improvement in QoL (DEMQOL proxy z score 2.82, p=0.0042, Mean Difference 2.54 SEM 0.88, 95% Confidence Intervals (CI) 0.81, 4.28, Cohen’s D Effect Size 0.24). There were also statistically significant benefits in agitation (CMAI Z score 2.68 p=0.0076, Mean Difference 4.27 SEM 1.59, 95% CI -7.39, -1.15, Cohen’s D 0.23) and overall neuropsychiatric symptoms (Z score 3.52 Mean Difference 4.55 SEM 1.28 p=0.00045, 95% CI -7.07,-2.02, Effect Size 0.30). Benefits were greatest in people with moderate-moderately severe dementia. There was a statistically significant benefit in positive care interactions as measured by QUIS (19.7% increase, SEM 8.94, 95% CI 2.12, 37.16, Cohen’s D 0.55, P=0.03). There were no statistically significant differences between WHELD and treatment as usual for the other outcomes. A sensitivity analysis using a pre-specified imputation model confirmed statistically significant benefits in DEMQOL proxy, CMAI and NPI with the WHELD intervention. Antipsychotic drug prescribing was at a low stable level in both treatment groups and the intervention did not reduce use. The WHELD intervention reduced cost compared to treatment as usual, and the benefits achieved were therefore associated with a cost saving. The main limitation was that antipsychotic review was based on augmenting processes within care homes to trigger medical review and did not in this study involve proactive primary care education. An additional limitation was the inherent challenge of assessing QoL in this patient group. Conclusions: These findings suggest that the WHELD intervention confers benefits to QoL, agitation and neuropsychiatric symptoms, albeit with relatively small effect sizes, as well as cost saving in a model that can readily be implemented into nursing homes. Future work should consider how to facilitate sustainability of the intervention in these settings. Trial registration: ISRCTN Registry ISRCTN62237498

  13. Inspection outcomes of the largest children's social care providers

    • gov.uk
    • s3.amazonaws.com
    Updated Oct 9, 2024
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    Ofsted (2024). Inspection outcomes of the largest children's social care providers [Dataset]. https://www.gov.uk/government/publications/inspection-outcomes-of-the-largest-childrens-social-care-providers
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    Dataset updated
    Oct 9, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ofsted
    Description

    The data may be useful to review the inspection outcomes for the largest providers for monitoring and comparison, by:

    • academics
    • local authorities
    • social care services
    • children and social care providers
  14. Hospital Beds Market Analysis, Size, and Forecast 2025-2029: North America...

    • technavio.com
    pdf
    Updated May 31, 2025
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    Technavio (2025). Hospital Beds Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, and UK), APAC (China, India, Japan, and South Korea), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/hospital-beds-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    United Kingdom, United States
    Description

    Snapshot img

    Hospital Beds Market Size 2025-2029

    The hospital beds market size is forecast to increase by USD 2.69 billion, at a CAGR of 9.9% between 2024 and 2029.

    The market is experiencing significant growth due to the rising number of medical emergencies and the increase in infectious diseases. The global health crisis has highlighted the importance of having an adequate supply of hospital beds to manage the influx of patients. However, the high cost of automated hospital beds poses a challenge for healthcare providers, as they seek to balance the need for advanced technology with budget constraints. Moreover, the growing prevalence of chronic diseases, such as diabetes and cardiovascular diseases, necessitates long-term hospitalization, further increasing the demand for hospital beds. Additionally, the aging population and their subsequent healthcare needs are also contributing to market growth.
    To capitalize on these opportunities, companies can focus on developing cost-effective solutions that offer advanced features, ensuring they cater to the evolving needs of healthcare providers while remaining competitive in the market. Navigating the challenges of cost and affordability will be crucial for market success, as providers seek to optimize their budgets while maintaining the highest level of patient care.
    

    What will be the Size of the Hospital Beds Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    The hospital bed market continues to evolve, with dynamic shifts in market trends and applications across various healthcare sectors. Hospital bed frames, a fundamental component of patient care, undergo constant innovation to enhance ergonomics and support systems. Mattresses with advanced pressure distribution technology cater to the unique needs of bariatric patients, while ICU beds integrate intravenous pole systems and height adjustment mechanisms for intensive care. Bedside safety features, such as fall prevention systems and bedside rails, are increasingly integrated into hospital bed designs. Bedside monitors, lighting, and call systems further enhance patient safety and comfort. Hospital bed sustainability is a growing concern, with a focus on recycling and disposal methods, as well as the use of eco-friendly materials in bed covers and linens.

    Anti-embolism stockings and durability are essential considerations in hospital bed design, ensuring patient safety and longevity. Hospital bed certification standards continue to evolve, driving innovation in bedside safety and maintenance. The market for hospital bed accessories, such as overbed tables and height adjustment mechanisms, is expanding to cater to diverse patient needs. Ergonomics and aesthetics are increasingly important in hospital bed design, with a focus on patient comfort and satisfaction. The integration of electric actuators and sterilization systems further enhances the functionality and efficiency of hospital beds. The ongoing development of pressure relief systems and anti-decubitus mattresses underscores the continuous pursuit of innovation in this dynamic market.

    How is this Hospital Beds Industry segmented?

    The hospital beds industry 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.

    Product
    
      Manual beds
      Semi-automated beds
      Automated beds
    
    
    Application
    
      Intensive care
      Acute care
      Home care
    
    
    End-user
    
      Hospitals
      Home healthcare
      Elderly care facilities
      Ambulatory surgical centers
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        UK
    
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    .

    By Product Insights

    The manual beds segment is estimated to witness significant growth during the forecast period.

    The market encompasses a range of products designed for healthcare settings, including manual and electric beds, bariatric beds, ICU beds, and recovery room beds. These beds prioritize ergonomics, offering mattress support systems, adjustable frames, and pressure distribution systems to ensure patient comfort and support. Hospital bed sustainability is a growing concern, leading to the development of eco-friendly materials and recycling programs for bed components. Bedside tables, rails, and lighting provide added functionality, while certifications ensure safety and compliance. Hospital bed linens and covers, along with anti-embolism stockings, contribute to patient care and hygiene. Fall prevention systems and repair services ensure patient safety and bed longevity.

    Operating room tables and electric actuators facilitate efficien

  15. Most chosen homecare brands in the United Kingdom (UK) 2023, by consumer...

    • statista.com
    Updated Nov 25, 2025
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    Statista (2025). Most chosen homecare brands in the United Kingdom (UK) 2023, by consumer reach points [Dataset]. https://www.statista.com/statistics/891761/most-chosen-home-care-brands-united-kingdom-uk/
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    Dataset updated
    Nov 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United Kingdom
    Description

    This statistic presents the leading twenty homecare brands ranked by consumer reach points (a measure of brand penetration and consumer choice) in the United Kingdom (UK) in 2023. That year, Fairy was the leading brand for home care in the UK, with *** million consumer reach points. Lenor and Andrex ranked in second and third place, with ** and ** million consumer reach points, respectively.

  16. u

    The meeting centres support programme for people and families living with...

    • datacatalogue.ukdataservice.ac.uk
    Updated May 21, 2018
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    Brooker, D, University of Worcester (2018). The meeting centres support programme for people and families living with dementia at home: Translating an evidence-based intervention from the Netherlands to Italy, Poland and the UK [Dataset]. http://doi.org/10.5255/UKDA-SN-852791
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    Dataset updated
    May 21, 2018
    Authors
    Brooker, D, University of Worcester
    Area covered
    United Kingdom
    Description

    Two Meeting Centres were established in the UK, one in Droitwich Spa and one in Leominster, and the aim was to recruit 25 people with dementia/carer dyads per Meeting Centre for both the MC and UC groups. A variety of data collection activities were carried out, including: (1) Questionnaires with people with dementia and carers (DQOL, QOLAD, NPI, Cornell, GHQ CCRI); (2) Satisfaction surveys with people with dementia and carers; (3) Focus groups with people with dementia and carers ; (4) Interviews with members of the Meeting Centre Initiative Groups.

    MEETINGDEM aimed to implement and validate the successful, inclusive Dutch Meeting Centres Support Programme (MCSP) for community dwelling people with mild to moderately severe dementia and their family carers in three EU countries (Italy, Poland, UK). MCSP provides a social club for persons with dementia, information meetings and discussion groups for carers, and individual consultations and plenary centre meetings for both. After exploring pathways to care, the three countries established initiative groups of organizational collaborators and user representatives; inventoried facilitators/barriers to implementing MCSP; and developed implementation plans, practical guides and toolkits, utilizing and adapting Dutch materials. Staff were trained and 9 Meeting Centres (MC) established (Italy-5, Poland-2, UK-2) and later another 6 MC (Italy-4, Poland-2). The first 9 MC participated in the study into MCSP’s impact on people with dementia (behaviour, mood, quality of life/ QoL) and carers (sense of competence, mental health, loneliness, distress, experienced burden), its cost-effectiveness and user satisfaction. Implementation evaluation: Overall MCSP components and vision were maintained in all countries/centres. Country specific requirements resulted in variations in inclusion criteria, frequency of programme components, culture specific activities. Factors facilitating implementation were: added value of MCSP and evidence of its effectiveness, matching needs of the target group, enthusiastic local stakeholders, suitable staff and project-manager. Barriers were: competition with care/welfare organizations, scarce funding. Effect evaluation: MCSP appeared more effective on QoL (feelings of belonging, self-esteem, positive affect; with medium to large effect sizes) of people with dementia than usual care. Higher attendance levels were associated with greater neuropsychiatric symptom reduction and increased feelings of support. Carers experienced less burden than those receiving usual care. In Italy carers experienced better mental health and less distress by mood/behaviour symptoms of people with dementia. Economic evaluation: Health and social care costs were 990 Euro/month higher in MCSP than UC group, due to MCSP costs, but compared to ‘standard day care’ the combined MCSP costed only 3 Euro/hour more (20%). Evidence suggests that on some quality of life in dementia measures (QOL-AD, DQoL), MCSP may be cost-effective. User evaluation: People with dementia and carers were highly satisfied with MCSP. Carers felt the activities for people with dementia are functionally activating and provide an important means for social and emotional interaction. Conclusion: MCSP is transferable across countries and shows improved quality of life and mental health benefits for people with dementia and carers against reasonable additional costs. Dissemination of MCSP in Europe and beyond is recommended.

  17. u

    National Survey of Bereaved People, 2011- : Secure Access

    • datacatalogue.ukdataservice.ac.uk
    Updated Nov 11, 2016
    + more versions
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    UK Data Service (2016). National Survey of Bereaved People, 2011- : Secure Access [Dataset]. http://doi.org/10.5255/UKDA-SN-8077-1
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    Dataset updated
    Nov 11, 2016
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Area covered
    England
    Description

    The National Survey of Bereaved People (VOICES - Views of Informal Carers - Evaluation of Services) is an annual survey designed to measure the quality of end-of-life care. The VOICES survey particularly focuses on the last three months of life. Results are used to inform policy decisions and enable evaluation of the quality of end of life care by age group, sex, in different settings (home, hospital, care homes and hospices) and by different causes of death. Quality of end-of-life care is also included as an indicator in the NHS Outcomes Framework and the VOICES survey is used to monitor progress against this.

    The Department of Health (DH) first commissioned the survey in 2011 to follow up on a commitment made in the End of Life Care Strategy. Previously, very little systematic information was available about the quality of care delivered to people approaching the end of life, despite reports from the Healthcare Commission and the Neuberger review highlighting deficiencies in care. The commissioning responsibility for the survey moved from DH to NHS England following the restructuring of the Health and Care systems in England in April 2013. Each year a sample of approximately 49,000 adults who died in England is selected from the deaths registration database held by the Office for National Statistics (ONS). To ensure the sample represents the deaths in England for the given period and covers the key domains of interest, the sample is stratified according to the cause of death, place of death and geography. For the 2011 and 2012 surveys, geography was based on Primary Care Trust (PCT) clusters. For the 2013 survey onwards, this is based on NHS Area Teams (NHS Area Team 2013 has also been applied to the earlier datasets).

    The VOICES questionnaire is sent by post to the person who registered the death of the deceased; this is usually a relative or friend of the deceased. Questionnaires are sent out between 4 and 11 months after the patient has died. As is standard in most postal surveys, if no response is received, this first questionnaire is then followed up with two reminders. Once fieldwork, data capture, cleaning and processing are complete, findings are disseminated at both the national and sub-national level.

    Further information about the survey and links to related publications may be found on the ONS National Bereavement Survey (VOICES) QMI webpage.

    End User Licence and Secure Access versions available
    The UK Data Service holds standard End User Licence (EUL) and Secure Access versions of the National Survey of Bereaved People data. EUL data are available to registered users but Secure Access data are only available to ONS Accredited Researchers (in addition, project approval and successful completion of a stringent training course are required before access can be granted). The Secure Access version contains finer detail variables (e.g. IMD deciles as opposed to quintiles in the EUL data, Strategic Clinical Network in addition to NHS Area Teams, and more detailed information on age, causes, dates and place of death). Users are strongly advised to check whether the EUL datasets (SNs 7975-7979, 8017 and 8018) and are sufficient for their research needs before making an application for the Secure Access version.

  18. Retirement Communities Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    pdf
    Updated Jun 11, 2025
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    Technavio (2025). Retirement Communities Market Analysis, Size, and Forecast 2025-2029: North America (US, Canada, and Mexico), Europe (France, Germany, Italy, and UK), APAC (China, India, and Japan), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/retirement-communities-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 11, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    United States, Canada
    Description

    Snapshot img

    Retirement Communities Market Size 2025-2029

    The retirement communities market size is forecast to increase by USD 47.4 billion at a CAGR of 4.9% between 2024 and 2029.

    The market is experiencing significant growth, driven by the rising life expectancy and the resulting demand for specialized living arrangements for the aging population. This demographic shift presents favorable business opportunities for real estate developers, particularly those who can offer innovative and high-quality solutions tailored to the unique needs of seniors. Regulatory compliance is paramount, with licensure requirements and accreditation standards ensuring quality healthcare services, such as geriatric care, skilled nursing, rehabilitation, and hospice care. However, the market also faces challenges, including the need to provide proper healthcare solutions and addressing the diverse requirements of an aging population with varying health conditions and income levels.
    Effectively navigating these challenges and capitalizing on the opportunities requires a deep understanding of the evolving needs and preferences of the senior demographic, as well as the ability to offer flexible and comprehensive solutions that address their physical, emotional, and social needs. Companies that can successfully meet these demands will be well-positioned to thrive in this dynamic market. Outright purchases, leases or rentals, and hybrid models are all viable options for seniors, depending on their financial situation and lifestyle preferences. Senior living marketing strategies are focussing on addressing the demands and touch points of prospects.
    

    What will be the Size of the Retirement Communities Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    The market encompasses a range of senior housing options, including life care communities, assisted living facilities, and active adult communities. Security measures, emergency response systems, and memory care units cater to the unique needs of the aging population, particularly those with Alzheimer's disease. Capital expenditures for housing options, staffing ratios, and caregiver training programs are essential for maintaining resident satisfaction. Financial planning services, estate planning, and long-term care insurance are crucial for managing the financial aspects of retirement living.
    Housing options span from independent living facilities to age-restricted communities, catering to various needs and preferences. Attractive financing options, availability of land, and various models, including outright purchases, leases or rentals, hybrid models, and senior living facilities, cater to diverse lifestyle preferences and budgets. Wellness centers, community resources, and transportation services contribute to the overall quality of life. Optometry, pharmaceutical, and palliative care programs further enhance the comprehensive range of services offered. Turnover rates in retirement communities remain a significant consideration, with ongoing staff training and Medicare and Medicaid coverage playing crucial roles in addressing workforce challenges. Fire safety systems and certification programs ensure the safety and security of residents.
    

    How is this Retirement Communities Industry segmented?

    The retirement communities 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.

    Type
    
      Assisted living facilities
      Continuing care retirement communities
      Rest homes
    
    
    Application
    
      Elderly people
      Disabled people
    
    
    Gender
    
      Female
      Male
    
    
    Geography
    
      North America
    
        US
        Canada
        Mexico
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      APAC
    
        China
        India
        Japan
    
    
      Rest of World (ROW)
    

    By Type Insights

    The assisted living facilities segment is estimated to witness significant growth during the forecast period. Assisted living communities within the retirement market cater to seniors who necessitate aid with activities of daily living but do not warrant continuous medical supervision. These facilities provide essential services such as meal preparation, housekeeping, medication management, and personal care assistance to uphold residents' autonomy and enhance their living experience. Assisted living residences are meticulously designed to emulate a homelike atmosphere, featuring private or semi-private living quarters and communal spaces for social interaction and recreational activities. Many establishments offer additional amenities, including fitness centers, libraries, beauty salons, and transportation services, to encourage residents' physical and mental well-being

  19. d

    EuromoEuromonitor International - Home Care Industry Sales Data - 500...

    • datarade.ai
    .txt
    Updated Jul 24, 2025
    + more versions
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    Euromonitor International (2025). EuromoEuromonitor International - Home Care Industry Sales Data - 500 Brands, 50 Home Care Products [Dataset]. https://datarade.ai/data-products/home-care-industry-sales-data-euromonitor-international
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    .txtAvailable download formats
    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    Euromonitor International
    Area covered
    Palestine, Honduras, Tunisia, Oman, Mauritius, Ukraine, Kuwait, Cambodia, Belarus, Solomon Islands
    Description

    Companies around the world rely on Euromonitor to identify growth opportunities and influence strategic planning. Providing a wealth of standardised and cross-comparable statistics across 99 countries, Euromonitor's Home Care market research supports critical decision making with data and analysis at the country, region and global level.

    Inform market entry strategies - Assess category growth at the lowest level to help benchmark the most attractive countries for growth, cluster markets that have similar trends and forecast how category performance will change in the future.

    Examine distribution trends - Explore the full range of potential channels to maximise revenue and explore the omni-channel dynamics within each product category

    Benchmark competition - Measure performance of multi-nationals and local brands and set realistic growth targets by understanding your company share and growth relative to competitors globally, regionally and by country, providing context and direction to how you allocate resources.

    Identify whitespace opportunities - Uncover gaps in the market, analyse best practices of competitors and stay up to date with trends around the world to help identify and exploit opportunities for growth.

    Product coverage: Air Care, Bleach, Dishwashing, Home Insecticides, Laundry Care, Polishes, Surface Care, Toilet Care.

    Data coverage: market sizes (historic and forecasts), company shares, brand shares and distribution data.

    Why buy this data? Get a detailed picture of the Home Care market; Pinpoint growth sectors and identify factors driving change; Understand the market’s major players and leading brands; Use five-year forecasts to assess how the market is predicted to develop.

  20. d

    Community Services Statistics

    • digital.nhs.uk
    csv, pdf, xlsx
    Updated Mar 13, 2018
    + more versions
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    (2018). Community Services Statistics [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/community-services-statistics-for-children-young-people-and-adults
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    pdf(109.9 kB), xlsx(3.8 MB), xlsx(170.5 kB), pdf(868.4 kB), csv(35.4 MB), xlsx(2.8 MB)Available download formats
    Dataset updated
    Mar 13, 2018
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Nov 1, 2017 - Nov 30, 2017
    Area covered
    England
    Description

    This is a monthly report on publicly funded community services for children, young people and adults using data from the Community Services Data Set (CSDS) reported in England for November 2017. The CSDS is a patient-level dataset providing information relating to publicly funded community services for children, young people and adults. These services can include district nursing services, school nursing services, health visiting services and occupational therapy services, among others. The data collected includes personal and demographic information, diagnoses including long-term conditions and disabilities and care events plus screening activities. It has been developed to help achieve better outcomes for children, young people and adults. It provides data that will be used to commission services in a way that improves health, reduces inequalities, and supports service improvement and clinical quality. Prior to October 2017, the predecessor Children and Young People's Health Services (CYPHS) Data Set collected data for children and young people aged 0-18. The CSDS superseded the CYPHS data set to allow adult community data to be submitted, expanding the scope of the existing data set by removing the 0-18 age restriction. The structure and content of the CSDS remains the same as the previous CYPHS data set. Further information about the CYPHS and related statistical reports is available from https://digital.nhs.uk/data-and-information/data-collections-and-data-sets/data-sets/children-and-young-people-s-health-services-data-set References to children and young people covers records submitted for 0-18 year olds and references to adults covers records submitted for those aged over 18. Where analysis for both groups have been combined, this is referred to as all patients. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. They are published in order to involve users and stakeholders in their development and as a means to build in quality at an early stage. More information about experimental statistics can be found on the UK Statistics Authority website. We hope this information is helpful and would be grateful if you could spare a couple of minutes to complete a short customer satisfaction survey. Please use this form to provide us with any feedback or suggestions for improving the report. Update 6 April 2018: Please note since the removal of the age restriction to include adult data in CSDS, some of our Data Quality measures may not take into account items intended for children only. We are currently reviewing these measures and will look to reflect this in future reports.

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Statista (2022). Largest care home operators in England 2022, by market share [Dataset]. https://www.statista.com/statistics/1364995/largest-care-home-operators-in-england/
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Largest care home operators in England 2022, by market share

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Dataset updated
Oct 15, 2022
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2022
Area covered
England
Description

In 2022, HC-One was the largest care home operator in England with a market share of *** percent. This was closely followed by Barchester with a market share of *** percent, while Care UK had a *** percent share of the English care home market.

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