30 datasets found
  1. Care home occupancy in the UK 2006-2024

    • statista.com
    Updated Jul 3, 2025
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    Statista (2025). Care home occupancy in the UK 2006-2024 [Dataset]. https://www.statista.com/statistics/1231777/care-home-occupancy-in-the-uk/
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    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    In 2023/24, the occupancy rate of care homes in the United Kingdom (UK) rose to **** percent, which is approaching pre-pandemic occupancy levels of 87-89 percent. Following the Covid-19 pandemic, the care home occupancy rate in the UK fell to an average of **** percent. These were the lowest occupancy rates recorded since 2006 and reflect the consequence of the COVID-19 pandemic.

  2. Regional occupancy rate of care homes in the UK 2019-2020

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Regional occupancy rate of care homes in the UK 2019-2020 [Dataset]. https://www.statista.com/statistics/1232522/care-home-occupancy-in-the-uk-by-region/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    The care home occupancy rate in the United Kingdom varied from one region to another. From 2019 to the first quarter of 2020, the occupancy rate of care homes ranged from **** percent in the South West to **** percent in Northern Ireland. As a result of the coronavirus pandemic, the occupancy of care homes has decreased in the second quarter of 2020. In London, for instance, the occupancy rate of care homes went down by **** percent.

  3. d

    Care Homes: Occupancy Rate

    • dtechtive.com
    • find.data.gov.scot
    csv, nt
    Updated Sep 3, 2021
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    Public Health Scotland (2021). Care Homes: Occupancy Rate [Dataset]. https://dtechtive.com/datasets/24869
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    nt(null MB), csv(null MB)Available download formats
    Dataset updated
    Sep 3, 2021
    Dataset provided by
    Public Health Scotland
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    Scotland
    Description

    Occupancy rate in care homes, for different main client groups and across care sectors

  4. Occupancy rate of HC-One care homes across the UK 2011-2023

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Occupancy rate of HC-One care homes across the UK 2011-2023 [Dataset]. https://www.statista.com/statistics/1240202/occupancy-rate-in-hc-one-care-homes-uk/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    In 2023, the average occupancy rate in HC-One care homes across the UK stood at **** percent. From 2011 to 2016, the occupancy rate increased, reaching ** percent in 2016. From 2016 to 2021, however, the average occupancy rate of care homes operated by HC-One dropped to a low of **** percent in 2021.

  5. Occupancy rate of nursing homes Japan 2023, by institution type

    • statista.com
    Updated Jul 9, 2025
    + more versions
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    Statista (2025). Occupancy rate of nursing homes Japan 2023, by institution type [Dataset]. https://www.statista.com/statistics/1211834/japan-occupancy-rate-nursing-homes-by-type/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    In 2023, approximately ** percent of the resident capacity of intensive-care facilities for the elderly in Japan was in use. At the same time, around ** percent of rooms at integrated facilities for medical and long-term care were occupied.

  6. G

    Occupancy based on beds staffed and in operation in residential care...

    • open.canada.ca
    • www150.statcan.gc.ca
    csv, html, xml
    Updated Jan 17, 2023
    + more versions
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    Statistics Canada (2023). Occupancy based on beds staffed and in operation in residential care facilities, by principal characteristic of the predominant group of residents and size of facility, Canada, provinces and territories [Dataset]. https://open.canada.ca/data/en/dataset/47a84483-f41b-4402-9163-413ab5a40ae7
    Explore at:
    html, xml, csvAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    This table contains 650 series, with data for years 1984 - 2009 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (not all combinations are available): Geography (13 items: Canada; Provinces; Prince Edward Island; Newfoundland and Labrador ...), Predominant group of residents and size of facility (10 items: Total; residential care facilities; Homes for the aged; 1 to 19 beds; Homes for the aged; 20 to 49 beds; Total; homes for the aged ...), Characteristics (5 items: Operating residential care facilities; Reporting residential care facilities; Reporting residential care facilities; approved beds; Operating residential care facilities; approved beds ...).

  7. Nursing Care Facilities in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Apr 3, 2025
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    IBISWorld (2025). Nursing Care Facilities in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/industry/nursing-care-facilities/1594/
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    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    The nursing facility industry faces dynamic challenges and opportunities as it adapts to emerging trends and changing demographics. Recent performance indicates rising costs and demands because of an aging population and regulatory pressures. Labor shortages complicate operations, compelling facilities to offer higher wages to attract skilled staff. Financial pressures escalate with increased spending on modern technology and regulatory compliance. Despite the strains, some facilities innovate by incorporating telehealth and specialized services to attract privately insured residents and those on government programs. This strategic approach helps balance operational challenges with potential growth opportunities as demand continues. Revenue grew at a CAGR of 1.4% through 2025, projected to reach $167.5 billion in 2025 with a 3.5% revenue increase. Over the last five years, profitability in nursing facilities has been challenging, shaped by intricate factors such as cost structure and reimbursement rates. Wage expenses represent a substantial financial burden driven by labor shortages and regulatory mandates. Facilities must manage escalating costs in food, medications and supplies while dealing with rising rent expenses and the need for advanced technology. Despite these financial strains, high occupancy rates contribute to higher profitability. Facilities prioritize private insurance patients for better reimbursement rates yet must rely on government-funded residents in certain regions. The blend of innovative care models, careful resource management and strategic financial partnerships underpins the industry's ability to remain viable and competitive. The coming five years bring anticipated growth fueled by demographic shifts and evolving care models. Increased occupancy is expected as the older adult population expands, providing new revenue prospects. Facilities will likely see a broader demand for varied care models, necessitating enhancements in infrastructure and personalized services. With potential funding increases from Medicare and Medicaid, there are opportunities for investment in staff training and specialized care. Consolidation trends continue to reshape the landscape, enabling facilities to expand services and leverage economies of scale. Focusing on short-stay, post-acute care and adapting to managed care frameworks could enhance financial resilience. Integrating technology and strategic partnerships may redefine services, ensuring long-term sustainability in a competitive environment. Industry revenue is projected to climb at a CAGR of 2.7%, reaching $191.6 billion by 2030.

  8. Nursing facility occupancy rate in the U.S. 2003-2024

    • statista.com
    Updated Jul 2, 2025
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    Statista (2025). Nursing facility occupancy rate in the U.S. 2003-2024 [Dataset]. https://www.statista.com/statistics/1223881/occupancy-rate-of-certified-nursing-facilities-in-the-united-states/
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    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Over the last two decades, the occupancy of certified nursing facilities in the United States remained relatively stable at around ** percent. During the coronavirus pandemic, the occupancy rate of nursing facilities across the United States were significantly lower. Occupancy rate of certified nursing homes have since been increasing and is currently at ** percent as of July 2024.

  9. Residential Nursing Care in Germany - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Apr 24, 2025
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    IBISWorld (2025). Residential Nursing Care in Germany - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/germany/industry/residential-nursing-care/985/
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    Dataset updated
    Apr 24, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Germany
    Description

    The number of people switching from home to inpatient care has risen again following the containment of the coronavirus. The additional expenditure for hygiene concepts and staff and the simultaneous reduction in income, for example due to unoccupied care home places, put pressure on the profit margin of care homes. In recent years, care homes have also had to deal with a shortage of skilled workers and a reform of the healthcare system with various new regulations. Between 2020 and 2025, industry turnover fell by an average of 0.2% per year. The industry was able to compensate for the slump in turnover during the pandemic years.Care homes are under economic pressure. In addition to the after-effects of the coronavirus pandemic, high energy costs and inflation as well as rising wages have been additional cost drivers in recent years. Furthermore, the social welfare organisations only settle uncovered care home costs after long processing times. The cost increases, which cannot be fully refinanced, are leading to the closure of numerous care homes. Cost pressure and the worsening staff shortage are also expected to lead to occupancy freezes and capacity cuts in the current year and result in further closures. For 2025, an increase in turnover of 1.9% compared to the previous year and total turnover of 35.1 billion euros is therefore expected.Due to demographic change and the increasing life expectancy of the population, the care market is characterised by stable growth. The rise in the number of households with people over the age of 65 and the increasing number of people in need of care in Germany are ensuring a constant demand for care places and will favour a positive sales trend in the sector. This is another reason why sales are expected to grow by an average of 2.4% per year until 2030. Total turnover is expected to amount to 39.5 billion euros in 2030. However, the rising number of people in need of care is offset by an insufficient number of qualified nursing staff, which could widen the care gap. There is already a shortage of skilled workers in the industry today, which could worsen in the coming years.

  10. g

    National Nursing Home Survey, 1985

    • datasearch.gesis.org
    • icpsr.umich.edu
    v4
    Updated Aug 5, 2015
    + more versions
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    United States Department of Health and Human Services. National Center for Health Statistics (2015). National Nursing Home Survey, 1985 [Dataset]. http://doi.org/10.3886/ICPSR08914.v4
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    v4Available download formats
    Dataset updated
    Aug 5, 2015
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    United States Department of Health and Human Services. National Center for Health Statistics
    Description

    The 1985 National Nursing Home Survey was designed to gather a variety of data on all types of nursing homes providing nursing care in the United States. In this collection data are available on nursing and related care facilities, services provided by the facilities, residents of the nursing homes, and discharges. Nursing home care is examined from the perspectives of both the recipients and the providers of services. Information about patients, both current and discharged, includes basic demographic characteristics, marital status, place of residence prior to admission, health status, services received, and, for discharges, the outcomes of care. A family member of both current and discharged patients was contacted by telephone to obtain data on socioeconomic status and prior episodes of health care. Facility-level data include basic characteristics such as size, ownership, Medicare/Medicaid certification, occupancy rate, and days of care provided.

  11. u

    Occupancy based on beds staffed and in operation in residential care...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Oct 1, 2024
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    (2024). Occupancy based on beds staffed and in operation in residential care facilities, by principal characteristic of the predominant group of residents and size of facility, Canada, provinces and territories - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-47a84483-f41b-4402-9163-413ab5a40ae7
    Explore at:
    Dataset updated
    Oct 1, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    This table contains 650 series, with data for years 1984 - 2009 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (not all combinations are available): Geography (13 items: Canada; Provinces; Prince Edward Island; Newfoundland and Labrador ...), Predominant group of residents and size of facility (10 items: Total; residential care facilities; Homes for the aged; 1 to 19 beds; Homes for the aged; 20 to 49 beds; Total; homes for the aged ...), Characteristics (5 items: Operating residential care facilities; Reporting residential care facilities; Reporting residential care facilities; approved beds; Operating residential care facilities; approved beds ...).

  12. U.S. number of residents in certified nursing facilities as of 2024, by...

    • statista.com
    Updated Dec 11, 2024
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    Statista (2024). U.S. number of residents in certified nursing facilities as of 2024, by state [Dataset]. https://www.statista.com/statistics/1168843/number-residents-certified-nursing-facilities-state/
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    Dataset updated
    Dec 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    How 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.

  13. D

    Bed Occupancy Sensor Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 4, 2024
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    Dataintelo (2024). Bed Occupancy Sensor Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/bed-occupancy-sensor-market
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    pptx, pdf, csvAvailable download formats
    Dataset updated
    Oct 4, 2024
    Authors
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Bed Occupancy Sensor Market Outlook



    The global bed occupancy sensor market size was valued at USD 2.3 billion in 2023 and is projected to reach USD 4.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.2% during the forecast period. This growth is propelled by the increasing need for efficient patient management systems in healthcare settings and the rising demand for smart home technologies.



    The healthcare industry is undergoing a significant transformation with the integration of advanced technologies aimed at improving patient care and operational efficiency. Bed occupancy sensors are crucial in this context, as they provide real-time data on patient activity, which can help prevent accidents, enhance patient monitoring, and optimize bed utilization. Moreover, the aging population worldwide has heightened the need for effective elderly care solutions, further boosting the demand for bed occupancy sensors. As a result, healthcare facilities are increasingly adopting these sensors to ensure the safety and well-being of patients, thereby driving market growth.



    Another significant growth driver for the bed occupancy sensor market is the increasing prevalence of chronic diseases, which often require prolonged hospital stays and continuous patient monitoring. Conditions like diabetes, cardiovascular diseases, and respiratory issues necessitate constant vigilance, making bed occupancy sensors invaluable. These sensors help healthcare providers manage bed occupancy more efficiently, ensuring that patients receive timely care and reducing the chances of hospital-acquired infections. Additionally, advancements in sensor technology, such as increased accuracy, wireless connectivity, and integration capabilities with other healthcare systems, are further enhancing their adoption.



    The rise of smart home technologies is also playing a pivotal role in the expansion of the bed occupancy sensor market. As consumers become more inclined towards smart home solutions that enhance convenience and safety, the adoption of bed occupancy sensors in home care settings has surged. These sensors are essential for monitoring the well-being of elderly individuals living alone or patients undergoing home-based care, providing alerts in case of unusual activity or prolonged bed occupancy. With the proliferation of IoT devices and enhanced connectivity, the integration of bed occupancy sensors into smart home ecosystems is becoming more seamless, contributing to market growth.



    Regionally, North America holds a dominant position in the bed occupancy sensor market, attributed to the region's advanced healthcare infrastructure, high adoption rate of new technologies, and significant investment in smart home systems. Europe follows closely, with increasing healthcare expenditure and a growing elderly population driving market demand. The Asia Pacific region is expected to witness the fastest growth during the forecast period, supported by improving healthcare facilities, rising disposable incomes, and government initiatives promoting smart healthcare solutions. Latin America and the Middle East & Africa are also poised for substantial growth as healthcare systems in these regions continue to evolve and modernize.



    Product Type Analysis



    The bed occupancy sensor market can be segmented based on product type into pressure sensors, infrared sensors, ultrasonic sensors, and others. Pressure sensors are among the most commonly used types due to their high accuracy and reliability. These sensors detect changes in pressure when a person occupies or vacates a bed, providing immediate alerts to caregivers or healthcare providers. The widespread use of pressure sensors in hospitals, nursing homes, and home care settings underscores their importance in patient monitoring and accident prevention. Technological advancements in pressure sensor design, such as improved sensitivity and durability, are further enhancing their application scope.



    Infrared sensors are another prominent segment within the bed occupancy sensor market. These sensors function by detecting infrared radiation emitted by a person's body, thereby determining bed occupancy status. Infrared sensors are highly effective in various settings, including healthcare facilities and smart homes, due to their non-contact nature and ability to operate in low-light conditions. The increasing demand for non-invasive monitoring solutions is a significant factor driving the adoption of infrared sensors. Moreover, ongoing research and development activities aimed at improving the range and accuracy of these sensors are expecte

  14. d

    Virtual Ward Capacity and Occupancy statistics

    • digital.nhs.uk
    Updated Jun 12, 2025
    + more versions
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    (2025). Virtual Ward Capacity and Occupancy statistics [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/mi-nhse-virtual-ward-capacity-and-occupancy-statistics
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    Dataset updated
    Jun 12, 2025
    License

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

    Description

    Virtual wards (also known as hospital at home) allow patients to get the care they need at home safely and conveniently, rather than being in hospital. This includes either preventing avoidable hospital admissions or supporting people to safely leave hospital sooner. Systems are asked to continue to embed, standardise and scale virtual ward capacity, ensuring that local virtual ward services are aligned to local demand for both children and adults. This is outlined in the 2025/26 Priorities and Operational Planning Guidance and the Neighbourhood Health Guidelines 2025/26. This data is published on the NHS England website. Please follow the link below.

  15. h

    Fire - Vulnerable Occupancy

    • open.hamilton.ca
    Updated Sep 22, 2023
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    City of Hamilton (2023). Fire - Vulnerable Occupancy [Dataset]. https://open.hamilton.ca/datasets/fire-vulnerable-occupancy/about
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    Dataset updated
    Sep 22, 2023
    Dataset authored and provided by
    City of Hamilton
    License

    https://www.hamilton.ca/city-initiatives/strategies-actions/open-data-licence-terms-and-conditionshttps://www.hamilton.ca/city-initiatives/strategies-actions/open-data-licence-terms-and-conditions

    Description

    A vulnerable occupancy is defined as a care occupancy (where special care is provided by a facility to its residents), care and treatment occupancy or retirement home.

  16. Civil Service HQ occupancy data

    • gov.uk
    • s3.amazonaws.com
    Updated Jun 6, 2025
    + more versions
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    Cabinet Office (2025). Civil Service HQ occupancy data [Dataset]. https://www.gov.uk/government/publications/civil-service-hq-occupancy-data
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    Dataset updated
    Jun 6, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Cabinet Office
    Description

    Details

    The Civil Service published weekly data on HQ Office Occupancy from Whitehall departments’ as a proxy measure of ‘return to offices’ following the pandemic. This was suspended in line with pre-election guidance for the duration of the Election Period. Going forward this data will now be published quarterly, resuming October 2024.

    Contacts

    Press enquiries: pressoffice@cabinetoffice.gov.uk

    Methodology

    The data was originally gathered for internal purposes to indicate the progress being made by departments in returning to the workplace in greater numbers. Data was collected in respect of Departmental HQ buildings to gain a general understanding of each department’s position without requiring departments to introduce data collection methods across their whole estate which would be expensive and resource intensive.

    These figures are representative of employees whose home location is their departmental HQ building. These figures do not include contractors and visitors. Departments providing data are listed below.

    All data presented is sourced and collected by departments and provided to the Cabinet Office. The data presented are not Official Statistics.

    There are four main methods used to collect the Daily Average Number of Employees in the HQ building:

    • wifi and/or computer log-ins associated with location
    • swipe pass entry data
    • space or desk booking system
    • manual count

    It is for departments to determine the most appropriate method of collection. This data does not capture employees working in other locations such as other government buildings, other workplaces or working from home.

    Notes on measure of attendance in the workplace

    The data provided is for Departmental HQ buildings only and inferences about the wider workforce cannot be made.

    Comparisons between departments

    The data should not be used to make comparisons between departments. The factors determining the numbers of employees working in the workplace will differ across departments, this is due to, the variation in operating models and the broad range of public services they deliver. The different data collection methods used by departments will also make comparisons between departments invalid.

    Calculations

    Percentage of employees working in the HQ building compared to building capacity is calculated by: Monthly total number of employees in the HQ building divided by the monthly capacity of the HQ building.

    Definitions

    In the majority of cases the HQ building is defined as where the Secretary of State for that department is based.

    Current Daily Capacity is the total number of people that can be accommodated in the building.

    Departments providing data

    • Cabinet Office
    • Department for Business and Trade
    • Department for Culture, Media and Sport
    • Department for Education
    • Department for Energy Security and Net Zero
    • Department for Environment, Food and Rural Affairs
    • Department of Health and Social Care
    • Department for Science, Innovation and Technology
    • Department for Transport
    • Department for Work and Pensions
    • Foreign, Commonwealth & Development Office
    • HM Revenue and Customs
    • HM Treasury
    • Home Office
    • Ministry of Defence
    • Ministry of Housing, Communities and Local Government
    • Ministry of Justice
    • Northern Ireland Office
    • Office of the Secretary of State for Scotland
    • Office of the Secretary of State for Wales
  17. a

    Rural Health Care Facilities in Manitoba

    • hub.arcgis.com
    • resources-covid19canada.hub.arcgis.com
    • +1more
    Updated Jun 29, 2017
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    Manitoba Maps (2017). Rural Health Care Facilities in Manitoba [Dataset]. https://hub.arcgis.com/maps/manitoba::rural-health-care-facilities-in-manitoba-1/about
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    Dataset updated
    Jun 29, 2017
    Dataset authored and provided by
    Manitoba Maps
    Area covered
    Description

    Feature layer of locations and service details of Rural Health Care Facilities in Manitoba outside the Winnipeg Regional Health Authority. Fields included:Community Name: Name of the community where the facility is located.Facility Name: Name of the health care facility.Lat: Latitude in decimal degreesLong: Longitude in decimal degreesEmergency Department Availability: Categories include 24/7 Services, Available, Not Available, Closed, Suspended, and Partial Services.Percentage of Time Open (2015): Percentage of time the emergency department was open in 2015/16.Nearest Alternate Emergency Department: If the emergency department is not available, provides the name of the closest emergency department.Acute Care Availability: States if acute care is “Available” or “Not Available” at the facilityAcute Care Number of Beds: Number of acute care beds if acute care is available at the facilityAcute Care Occupancy Rate (2015-16): Occupancy rate as recorded in 2015/16Transitional Care Availability: States if if transitional care is “Available” or “Not Available” at the facilityTransitional Care Number of Beds: Number of transitional care beds if transitional care is available at the facilityTransitional Care Occupancy Rate (2015-16): Occupancy rate as recorded in 2015-2016Diagnostic Care Services Available: Type of diagnostic care services that are available at the facilityEmergency Medical Services Station: States if the facility is an emergency medical services station by “Yes” or “No”Nearest Alternate Emergency Medical Services Station: Name of the nearest alternate emergency medical services stationPersonal Care Home: States if the facility is a personal care home by “Yes” or “No”Personal Care Home Number of Beds: Number of personal care home beds available, if the facility is a Personal Care Home

  18. Social Services in Europe - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Mar 15, 2024
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    IBISWorld (2024). Social Services in Europe - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/europe/industry/social-services/200099
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    Dataset updated
    Mar 15, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2014 - 2029
    Area covered
    Europe
    Description

    The growth in the number of people in need of care throughout Europe has positively impacted the Social Services industry. The industry supports some of Europe’s most vulnerable people, from older people and those with disabilities to at-risk children. Revenue is estimated to swell at a compound annual rate of 0.2% in the five years through 2024 to €136.2 billion. High demand is explained by the popularity of home care for older adults. For many people, homecare is the preferred form of care in old age, far ahead of nursing and retirement homes. With Europe’s population rapidly ageing, demand for care like dressing, showering and medication management is on the rise. Europe’s ageing population is the main driver for increased demand in recent years, alongside more people preferring to age at home rather than opt for residential care facilities. There’s also an increasing demand for childcare services, but the shortage of skilled workers continues to plague the industry. Revenue is projected to climb by 1.4% in 2024. Despite revenue growth, operating cost hikes have been weighing on the finances of companies struggling to stretch funding.

    European Social services will face an even greater demand as the population ages. The sector’s ability to adapt will be crucial, with digital innovation in telehealth services playing a key role in transforming service delivery and quality. Better telemedicine will allow more people to remain at home for longer. Revenue is estimated to swell at a compound annual rate of 1.1% over the five years through 2029 to €143.9 billion. The industry will have more opportunities to leverage technology to improve the efficiency and accessibility of services, from telecare systems enabling independent living for the elderly to digital platforms for child and family services.

  19. G

    Rural Health Care Facilities in Manitoba

    • open.canada.ca
    • catalogue.arctic-sdi.org
    • +1more
    html
    Updated Dec 6, 2024
    + more versions
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    Government of Manitoba (2024). Rural Health Care Facilities in Manitoba [Dataset]. https://open.canada.ca/data/dataset/03a9901f-21c5-9b51-d3e9-40a0ed6f0a31
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    htmlAvailable download formats
    Dataset updated
    Dec 6, 2024
    Dataset provided by
    Government of Manitoba
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Manitoba
    Description

    An interactive web map illustrating the locations and service details of Rural Health Care Facilities in Manitoba, outside the Winnipeg Regional Health Authority. An interactive web map illustrating the locations and service details of Rural Health Care Facilities in Manitoba, outside the Winnipeg Regional Health Authority. Select a facility from the drop down list to filter out all but the facility of interest, use the search bar, or simply explore and click on facilities in the map for details. Pop-ups include the following information:Community Name Facility Name Emergency Department Availability Percentage of Time Open (2015) Nearest Alternate Emergency Department Acute Care Availability Acute Care Number of Beds Acute Care Occupancy Rate (2015-16) Transitional Care Availability Transitional Care Number of Beds Transitional Care Occupancy Rate (2015-16) Diagnostic Care Services Available Emergency Medical Services Station Nearest Alternate Emergency Medical Services Station Personal Care Home Personal Care Home Number of Beds

  20. d

    Health Statistics at a Glance, 1999 [Canada] [B2020]

    • dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
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    Statistics Canada (2023). Health Statistics at a Glance, 1999 [Canada] [B2020] [Dataset]. https://dataone.org/datasets/sha256%3A576a92aa86aff15218876210329692c99e73fea889ea60dc8e17a7a59dea0061
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    Area covered
    Canada
    Description

    Health Statistics at a Glance tables contain information on socio-economic risk factors or determinants of health, health status, new information on health outcomes and expanded information on utilization of the health care system. The aim of Health Statistics at a Glance tables is to present a core data set using the most recent information available. The indicator tables show extended time series for Canada, provinces and territorial levels of geography. Depending on the indicator, cross-classifications are by age and sex, and, in some cases by education. Due to the large amount of sample survey data used to construct the indicators, many tables cannot be produced for sub-provincial areas. Health Statistics at a Glance is an integrated information product. Its content reflects the growing demand for analysis of many current health issues supplemented by the underlying data. Within this CD-ROM there are three major components: the Statistical Report on the Health of Canadians, 17 Health Reports articles cited in the Statistical Report, and all of the components of Health Indicators, including Causes of Death. Users access the data as tabulations that they can display in various formats according to their own needs. The Health Statistics at a Glance CD-ROM contains the entire database of over 100 indicators and the software to access the information on a personal computer. The database can be accessed on the mainframe computer by using Statistics Canada's CANSIM cross-classified database.

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Statista (2025). Care home occupancy in the UK 2006-2024 [Dataset]. https://www.statista.com/statistics/1231777/care-home-occupancy-in-the-uk/
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Care home occupancy in the UK 2006-2024

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Dataset updated
Jul 3, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United Kingdom
Description

In 2023/24, the occupancy rate of care homes in the United Kingdom (UK) rose to **** percent, which is approaching pre-pandemic occupancy levels of 87-89 percent. Following the Covid-19 pandemic, the care home occupancy rate in the UK fell to an average of **** percent. These were the lowest occupancy rates recorded since 2006 and reflect the consequence of the COVID-19 pandemic.

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