These data are related to DCYF’s Office of Innovation, Alignment, and Accountability (OIAA) prevention dashboards, published to support the agency’s efforts to prevent child maltreatment. Those dashboards can be found here: https://www.dcyf.wa.gov/practice/oiaa/reports/prevention-dashboard

Much of the data requested by the Strengthen Families Locally communities to inform their planning, and thus contained in these initial dashboards and datasets, are what we know about children entering out-of-home care (OOH care) – age distribution, counts, rates, trends over time, and race/ethnicity. In 2022, about 3,370 children entered out of home care statewide, a record low for Washington State.

The prevention dashboards and datasets also include descriptive data on children in Child Protection Services (CPS) intakes – rates of intakes “screened-in” for a CPS response, as well as the types of referents referring to CPS. In 2022, DCYF received CPS intakes involving over 89,000 children statewide, and 46,000 total children in intakes screened in for a CPS response.

Some of the data focus on children aged 0 to 1 (or birth to just under 2 years old). This group of children enter out-of-home care at a high rate, and the Strengthen Families Locally communities have identified that early intervention with this group of children and their families can be especially impactful.

OIAA expects to update these dashboards and datasets annually. In addition, we will be working to develop additional dashboards to support other related DCYF prevention efforts.

In 2023, there were around ** personal care and home health aides per 1,000 adults aged 65 years or older in the United States. Meanwhile, the rate of home health care workers per elderly population varied widely by state, with New York having the highest rate and Florida the lowest.

In 2023, approximately ** percent of all home care workers were high school graduates, while ** percent did not complete high school.

In 2000, home health care expenditure amounted to some 32 billion U.S. dollars. By 2023, this figure had increased to 148 billion U.S. dollars. This statistic shows the home health care expenditure in the United States from 1960 to 2022.

The dataset, HHA Cost Report Data 2020-2022 has information on the Home Health Agency (HHA) cost reports received by Healthcare Cost Report Information System (HCRIS). This dataset is one among the 4 files in Home Health Agency (HHA) cost reports, the HHA Cost Alphanumeric Data 2020-2022, HHA Cost Numeric Data 2020-2022, HHA Cost Report Data 2020-2022 and HHA Cost Rollup Data 2020-2022.

In 2022, 47.5 billion U.S. dollars were paid by Medicare for home health in the United States. This statistic describes the spending for home health in the United States from 2013 to 2022, sorted by payer.

These data are related to DCYF’s Office of Innovation, Alignment, and Accountability (OIAA) prevention dashboards, published to support the agency’s efforts to prevent child maltreatment. Those dashboards can be found here: https://www.dcyf.wa.gov/practice/oiaa/reports/prevention-dashboard Much of the data requested by the Strengthen Families Locally communities to inform their planning, and thus contained in these initial dashboards and datasets, are what we know about children entering out-of-home care (OOH care) – age distribution, counts, rates, trends over time, and race/ethnicity. In 2022, about 3,370 children entered out of home care statewide, a record low for Washington State. The prevention dashboards and datasets also include descriptive data on children in Child Protection Services (CPS) intakes – rates of intakes “screened-in” for a CPS response, as well as the types of referents referring to CPS. In 2022, DCYF received CPS intakes involving over 89,000 children statewide, and 46,000 total children in intakes screened in for a CPS response. Some of the data focus on children aged 0 to 1 (or birth to just under 2 years old). This group of children enter out-of-home care at a high rate, and the Strengthen Families Locally communities have identified that early intervention with this group of children and their families can be especially impactful. OIAA expects to update these dashboards and datasets annually. In addition, we will be working to develop additional dashboards to support other related DCYF prevention efforts.

This is a monthly report on publicly funded community services for people of all ages using data from the Community Services Data Set (CSDS) reported in England for September 2022. It has been developed to help achieve better outcomes and provide data that will be used to commission services in a way that improves health, reduces inequalities, and supports service improvement and clinical quality. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. More information about experimental statistics can be found on the UK Statistics Authority website (osr.statisticsauthority.gov.uk). A provisional data file for October 2022 is now included in this publication. Please note this is intended as an early view until providers submit a refresh of their data, which will be published next month.

This table provides an overview of the key figures on health and care available on StatLine. All figures are taken from other tables on StatLine, either directly or through a simple conversion. In the original tables, breakdowns by characteristics of individuals or other variables are possible. The period after the year of review before data become available differs between the data series. The number of exam passes/graduates in year t is the number of persons who obtained a diploma in school/study year starting in t-1 and ending in t.

Data available from: 2001

Status of the figures:

2024: Most available figures are definite. Figures are provisional for: - causes of death; - youth care; - persons employed in health and welfare; - persons employed in healthcare; - Mbo health care graduates; - Hbo nursing graduates / medicine graduates (university).

2023: Most available figures are definite. Figures are provisional for: - perinatal mortality at pregnancy duration at least 24 weeks; - diagnoses known to the general practitioner; - hospital admissions by some diagnoses; - average period of hospitalisation; - supplied drugs; - AWBZ/Wlz-funded long term care; - physicians and nurses employed in care; - persons employed in health and welfare; - average distance to facilities; - profitability and operating results at institutions. Figures are revised provisional for: - expenditures on health and welfare.

2022: Most available figures are definite. Figures are revised provisional for: - expenditures on health and welfare.

2021: Most available figures are definite, Figures are revised provisional for: - expenditures on health and welfare.f

2020 and earlier: All available figures are definite.

Changes as of 4 July 2025: More recent figures have been added for: - causes of death; - life expectancy; - life expectancy in perceived good health; - self-perceived health; - hospital admissions by some diagnoses; - sickness absence; - average period of hospitalisation; - contacts with health professionals; - youth care; - smoking, heavy drinkers, physical activity; - overweight; - high blood pressure; - physicians and nurses employed in care; - persons employed in health and welfare; - persons employed in healthcare; - Mbo health care graduates; - Hbo nursing graduates / medicine graduates (university); - expenditures on health and welfare; - profitability and operating results at institutions.

Changes as of 18 december 2024: - Distance to facilities: the figures withdrawn on 5 June have been replaced (unchanged). - Youth care: the previously published final results for 2021 and 2022 have been adjusted due to improvements in the processing. - Due to a revision of the statistics Expenditure on health and welfare 2021, figures for expenditure on health and welfare care have been replaced from 2021 onwards. - Due to the revision of the National Accounts, the figures on persons employed in health and welfare have been replaced for all years. - AWBZ/Wlz-funded long term care: from 2015, the series Wlz residential care including total package at home has been replaced by total Wlz care. This series fits better with the chosen demarcation of indications for Wlz care.

When will new figures be published? New figures will be published in December 2025.

In Europe, a significant amount of healthcare expenditure is spent on long-term residential care facilities. In 2022, the Netherlands spent roughly ** percent of its healthcare expenditure on long-term residential care. On the other hand, less than *** percent of the healthcare expenditure in Croatia, Bulgaria, and Bosnia and Herzegovina was used by long-term residential care facilities.

Data by medical encounter for the following conditions by age, race/ethnicity, and sex (gender):

Influenza (Flu) Flu/Pneumonia Pneumonia Urinary Tract Infections

Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population. Blank Cells: Events less than 11 are suppressed. Starting with data year 2022, geographies with less than 20,000 population contain no age-adjusted rates and all rates based on events <20 are suppressed due to statistical instability. Rates not calculated in cases where zip code is unknown. SES: Is the median household income by Subregional Area (SRA) community. Data for SRA only.

Data sources: California Department of Public Health, Center for Health Statistics, Office of Health Information and Research, Vital Records Business Intelligence System (VRBIS), 2022. California Department of Health Care Access and Information (HCAI), Emergency Department Discharge Database and Patient Discharge Database, 2022. SANDAG Population Estimates, 2022 (v11/23). 2022 population estimates were derived from the 2020 decennial census. Comparison of rates to prior years may not be appropriate. Prepared by: County of San Diego, Health and Human Services Agency, Public Health Services, Community Health Statistics Unit, May 2024.

2022 Community Profile Data Guide and Data Dictionary Dashboard: https://public.tableau.com/app/profile/chsu/viz/2022COREDataGuideandDataDictionary/Home

Correspondence should be addressed to Liyuan Jiao. The data for this study was collected from 2012 to 2022 and comprised of the top ten disease-related deaths in three regions, including nine provinces and cities. The mortality rates of each disease and its percentage were obtained from the relevant websites of the provincial (city) statistical bureaus and health and care committees through statistical yearbooks, statistical bulletins on health and health development, and working statistics of health and care committees. In this study, Beijing was treated as the target case, and seven relevant literature pieces were selected through a search on Google Scholar. Through literature analysis, views were derived that related to different disease care approaches for the elderly in nursing homes.

This dataset tracks the updates made on the dataset "Annual Trends of Entries into Out-of-Home Care, 2010-2022" as a repository for previous versions of the data and metadata.

This dataset contains records of publicly reported data on COVID-19 testing in Ontario long-term care homes. It was collected between April 24, 2020 and March 30, 2023. Summary data is aggregated to the provincial level. Reports fewer than 5 are indicated with <5 to maintain the privacy of individuals. ##Data includes: * Long-term care home COVID-19 summary data * Long-term care homes with an active COVID-19 outbreak * Long-term care homes no longer in a COVID-19 outbreak * Long-term care home COVID-19 summary data by Public Health Unit (PHU) * Long-term care home COVID-19 staff vaccination rates An outbreak is defined as two or more lab-confirmed COVID-19 cases in residents, staff or other visitors in a home, with an epidemiological link, within a 14-day period, where at least one case could have reasonably acquired their infection in the long-term care home. Prior to April 7, 2021, the definition required one or more lab-confirmed COVID-19 cases in a resident or staff in the long-term care home. Notes February 21 to March 29, 2023: Data is only available for regular business days (for example, Monday through Friday, except statutory holidays) March 12 – 13, 2022: Due to technical difficulties, data is not available. September 8, 2022: The data dated September 6, 2022 represents data collected during the period of September 3, 4 and 5, 2022. October 6, 2022: The data dated October 5, 2022 represents data collected during the period of October 1, 2, 3 and 4, 2022. October 13, 2022: Due to technical difficulties, data for the date of October 9 is not available. October 20, 2022: Due to technical difficulties, data for the dates of October 15, 16 is not available. November 24, 2022: Due to technical difficulties, data is not available.

An estimation of the size of the self-funding population in care homes in England, using an experimental method. Weighted annual data broken down by geographic variables and care home characteristics.

In 2022, the U.S. home health care industry generated a total revenue of over *** billion U.S. dollars, an increase from ***** billion U.S. dollars in the previous year. Throughout the recorded time period, aggregate revenue of the home care industry has increased steadily.

For English, see below As of 1 January 2023, RIVM will no longer collect additional information. As a result, from January 1, 2023, we will no longer report data on infections among people over 70 living at home . File description: - This file contains the following numbers: (number of newly reported) positively tested individuals aged 70 and older living at home*, by safety region, per date of the positive test result. - (number of newly reported) deceased individuals aged 70 and older living at home who tested positive*, by safety region, by date on which the patient died. The numbers concern COVID-19 reports since the registration of the (residential) institution in OSIRIS with effect from questionnaire 5 (01-07-2020). * For reports from 01-07-2020, it is recorded whether the patient lives in an institution. Reports from 01-07-2020 are regarded as individuals aged 70 and older living at home if, according to the information known to the GGD, they: • Do not live in an institution AND • Are aged 70 or older AND • The person is not employed and is not a healthcare worker Persons whose residential facility/institution is not listed can still be excluded as individuals aged 70 and older living at home if they: • Can be linked to a known location of a disability care institution or nursing home on the basis of their 6-digit zip code OR • Have 'Disabled care institution' or 'Nursing home' as the location of the contamination mentioned. OR • Based on the content of free text fields, can be linked to a disability care institution or nursing home. The file is structured as follows: A set of records per date of with for each date: • A record for each security region (including 'Unknown') in the Netherlands, even if there are no reports for the relevant security region. The numbers are then 0 (zero). • Security region is unknown when a record cannot be assigned to one unique security region. A date 01-01-1900 is also included in this file for statistics whose associated date is unknown. The following describes how the variables are defined. Description of the variables: Version: Version number of the dataset. This version number is adjusted (+1) when the content of the dataset is structurally changed (so not the daily update or a correction at record level. The corresponding metadata in RIVMdata (https://data.rivm.nl) is also changed. Version 2 update (January 25, 2022): • An updated list of known nursing or care home locations and private residential care centers was received from the umbrella organization Patient Federation of the Netherlands on 03-12-2021. taken to determine whether individuals live in an institution Version 3 update (February 8, 2022) • From February 8, 2022, positive SARS-CoV-2 test results will be reported directly from CoronIT to RIVM. such as Testing for Access) and healthcare institutions (such as hospitals, nursing homes and general practitioners) that enter their positive SARS-CoV-2 test results via the Reporting Portal of GGD GHOR directly to RIVM. Reports that are part of the source and contact investigation sample and positive SARS-CoV-2 test results from healthcare institutions that are reported to the GGD via healthcare email are reported to RIVM via HPZone. From 8 February, the date of the positive test result is used and no longer the date of notification to the GGD. Version 4 update (March 24, 2022): • In version 4 of this dataset, records have been compiled according to the municipality reclassification of March 24, 2022. See description of the variable security_region_code for more information. Version 5 update (August 2, 2022): • The classification of persons aged 70 years and parents living independently has not been applied to reports that have only been received by RIVM since February 8, 2022 via an alternative reporting route. From 8 February to 1 August 2022, the number of reports from independently living persons aged 70 and parents was therefore underestimated by approximately 14%. As of August 2, 2022, this format will be retroactively updated. Version 6 update (September 1, 2022): - From September 1, 2022, the data will no longer be updated every working day, but on Tuesdays and Fridays. The data is retroactively updated on these days for the other days. - As of September 1, 2022, this dataset is split into two parts. The first part contains the dates from the start of the pandemic to October 3, 2021 (week 39) and contains "tm" in the file name. This data will no longer be updated. The second part contains the data from October 4, 2021 (week 40) and is updated every Tuesday and Friday. Date_of_report: Date and time on which the data file was created by RIVM. Date_of_statistic_reported: The date used for reporting the 70plus statistic living at home. This can be different for each reported statistic, namely: • For [Total_cases_reported] this is the date of the positive test result. • For [Total_deceased_reported] this is the date on which the patients died. Security_region_code: Security region code. The code of the security region based on the patient's place of residence. If the place of residence is not known, the safety region is based on the GGD that submitted the report, except for the Central and West Brabant and Brabant-Noord safety regions, since the GGD and safety region are not comparable for these regions. See also: https://www.cbs.nl/nl-nl/figures/detail/84721ENG?q=Veiliteiten From March 24, 2022, this file has been compiled according to the municipality classification of March 24, 2022. The municipality of Weesp has been merged into the municipality of Amsterdam . With this division, the Gooi- en Vechtstreek safety region has become smaller and the Amsterdam-Amstelland safety region larger; GGD Amsterdam has become larger and GGD Gooi- en Vechtstreek has become smaller (Municipal division on 1 January 2022 (cbs.nl). Security_region_name: Security region name. Security region name is based on the Security Region Code. See also: https://www.rijksoverheid.nl /topics/safety-regions-and-crisis-management/safety-regions Total_cases_reported: The number of new COVID-19 infected over-70s living at home reported to the GGD on [Date_of_statistic_reported].The actual number of COVID-19 infected over-70s living at home is higher than the number of reports in surveillance, because not everyone with a possible infection is tested. In addition, it is not known for every report whether this concerns a person over 70 living at home. Date_of_statistic_reported] The actual number of deceased people over 70 living at home who died of COVID-19 is higher than the number of reports in the surveillance, because not all deceased patients are tested and deaths are not legally reportable. Moreover, it is not known for every report whether this concerns a person over 70 living at home. Corrections made to reports in the OSIRIS source system can also lead to corrections in this database. In that case, numbers published by RIVM in the past may deviate from the numbers in this database. This file therefore always contains the numbers based on the most up-to-date data in the OSIRIS source system. The CSV file uses a semicolon as a separator. There are no empty lines in the file. Below are the column names and the types of values ​​in the CSV file: • Version: Consisting of a single whole number (integer). Is always filled for each row. Example: 2. • Date_of_report: Written in format YYYY-MM-DD HH:MM. Is always filled for each row. Example: 2020-10-16 10:00 AM. • Date_of_statistic_reported: Written in format YYYY-MM-DD. Is always filled for each row. Example: 2020-10-09. • Security_region_code: Consisting of 'VR' followed by two digits. Can also be empty if the region is unknown. Example: VR01. • Security_region_name: Consisting of a character string. Is always filled for each row. Example: Central and West Brabant. • Total_cases_reported: Consisting of only whole numbers (integer). Is always filled for each row. Example: 12. • Total_deceased_reported: Consisting of only whole numbers (integer). Is always filled for each row. Example: 8. ---------------------------------------------- ---------------------------------- Covid-19 statistics for persons aged 70 and older living outside an institution, by security region and date As of 1 January 2023, the RIVM will no longer collect additional information. As a result, from January 1, 2023, we will no longer report data on infections among people over 70 living at home. File description: This file contains the following numbers: - Number of newly reported persons aged 70 and older living at home who tested positive*, by security region, by date of the positive test result. - Number of newly reported deceased persons aged 70 and older living at home who tested positive*, by security region, by date on which the patient died. The numbers concern COVID-19 reports since the registration of the (residential) institution in OSIRIS with effect from questionnaire 5 (01-07-2020). * For reports from 01-07-2020, it is recorded whether the patient lives in an institution. For reports from 01-07-2020 persons aged 70 and older are considered to be living at home if, according to the information known to the PHS, they: • were not living in an institution AND • Are aged 70 years or older AND • The person is not employed and is not a healthcare worker Persons whose residential facility/institution is not listed can still be excluded as being an persons aged 70 and older living at home if they: • Based on their 6-digit zip code, can be linked to a known location of a care institution for the disabled or a nursing home OR • Have 'Disability care institution' or 'Nursing home' as the stated location of transmission. OR • Based on the content of free text fields, links can be made to a care institution for the disabled or a nursing home. The file is structured as follows: A set of records by date, with for