This database contains residential and geographical information data about care homes in Wales.

This database offers addresses, phone numbers, administrator names and state registration or licensure status for Minnesota health care providers. Federal certification classifications are also included. Provider types in the directory are boarding care homes, home health agencies, home care providers, hospices, hospitals, housing with services, nursing homes and supervised living facilities and other non-long term care providers. Providers can be identified by type, county, city or name. This page provides a link to download current data from the MDH database. The link works best in Internet Explorer and Firefox. This data is provided in tabular format. There is no assoicated geographic dataset; results require geocoding to be mapped. A link to the file with the field names and definitions is also provided below.

Care Homes provide a residential setting for people that require 24 hour care. The majority of Care Homes provide services for older people, but some offer services to Children and those with Mental or Sensory Impairments.

All Care Homes in the UK are registered, inspected and listed by the relevant authority, which in England and Wales is currently the Care Quality Commission (CQC) There are two main categories of care home; those which provide only personal care and those which also provide nursing care. In addition, some Care Homes provide specialist care, eg for Dementia or Terminal Illness

Care Homes are often run by groups. In these instances we provide the group name and details and record a link from each home to its parent organisation, but we list each home as separate entities due to each having their own considerations/services.

Type of ownership:

The database details the type of ownership of the Homes

Private Homes run by individuals, partnerships and public and private limited companies.

Voluntary Homes that are run by Charities such as The Leonard Cheshire Foundation or Mencap.

Public Homes that are run by Local Authorities and NHS Trusts

Number of beds:

We list the number of Beds for each organisation. The average size of home is approximately 20 beds, whilst only 10% have more than 50 beds. There are almost 3,000 homes with five or fewer beds. These usually provide very specific types of care, including provision for Care in the Community and, if privately owned, should not normally be regarded as commercial undertakings.

Nursing Home Compare has detailed information about every Medicare and Medicaid nursing home in the country. A nursing home is a place for people who can’t be cared for at home and need 24-hour nursing care. These are the official datasets used on the Medicare.gov Nursing Home Compare Website provided by the Centers for Medicare & Medicaid Services. These data allow you to compare the quality of care at every Medicare and Medicaid-certified nursing home in the country, including over 15,000 nationwide.

Dataset generated from nursing home residents, their relatives and clinical staff. For further information, please contact Dr. Juan Jose Hernandez Morante (jjhernandez@ucam.edu)

The Community Nursing Home (CNH) database contains a list of all Community Nursing Home facilities under local contract to Veterans Health Administration (VHA). CNH facilities are not managed by VA. Instead, CNH facilities are private or public facilities licensed by the state where they provide the patient services. Each day all Veterans Affairs Medical Center (VAMC) that have a contract with a CNH enter information about the CNH into the Fee Basis module of Veterans Health Information Systems and Technology Architecture. This information is sent via MailMan to the VA Austin Information Technology Center where it is collected in a queue. A quarterly batch process is run on the queue. VAMCs that have sent invalid data or VAMCs that have contracts and did not send data are notified. Valid data is processed and used to update the database. Quarterly reports are sent to the CNHs, VAMCs, Veterans Integrated Service Networks (VISNs), Geriatrics & Extended Care Strategic Health Care Group, and VA Central Office (VACO).

Comprehensive dataset of 658 Nursing homes in Mexico as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This data set is the result of an effort to identify nursing and boarding homes licensed to operate in Minnesota. A new "provider type" column was added for 2022, using manual compilation methods, in order to distinguish between nursing homes and boarding care homes, which are nursing homes without Medicare certification.

The data was sourced from the Minnesota Department of Health's Directory of Licensed and Certified Health Care Providers: https://www.health.state.mn.us/facilities/regulation/directory/index.html

Comprehensive dataset of 1,074 Nursing homes in Brazil as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 9,883 Nursing homes in United Kingdom as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The Open Database of Healthcare Facilities (ODHF) is a listing of health facilities across Canada. Facilities are classified into one of three types: ambulatory health care services, hospitals, and nursing and residential care facilities. The listing contains the names, addresses, and geo coordinates of facilities, as well as the facility type as assigned in the data source. The ODHF is based on data from authoritative sources that include among them all levels of government and public health and professional healthcare bodies. The ODHF is released as open data under the Open Government License - Canada and provided as a zipped comma-separated values (.csv) file.

The Minimum Data Set (MDS) Frequency data summarizes health status indicators for active residents currently in nursing homes. The MDS is part of the Federally-mandated process for clinical assessment of all residents in Medicare and Medicaid certified nursing homes. This process provides a comprehensive assessment of each resident's functional capabilities and helps nursing home staff identify health problems. Care Area Assessments (CAAs) are part of this process, and provide the foundation upon which a resident's individual care plan is formulated. MDS assessments are completed for all residents in certified nursing homes, regardless of source of payment for the individual resident. MDS assessments are required for residents on admission to the nursing facility, periodically, and on discharge. All assessments are completed within specific guidelines and time frames. In most cases, participants in the assessment process are licensed health care professionals employed by the nursing home. MDS information is transmitted electronically by nursing homes to the national MDS database at CMS.

When reviewing the MDS 3.0 Frequency files, some common software programs e.g., ‘Microsoft Excel’ might inaccurately strip leading zeros from designated code values (i.e., "01" becomes "1") or misinterpret code ranges as dates (i.e., O0600 ranges such as 02-04 are misread as 04-Feb). As each piece of software is unique, if you encounter an issue when reading the CSV file of Frequency data, please open the file in a plain text editor such as ‘Notepad’ or ‘TextPad’ to review the underlying data, before reaching out to CMS for assistance.

Nursing Homes from the State of Wisconsin database of long-term health care facilities

Large healthcare administrative databases, like Medicare claims, are a common means to evaluate drug policies. However, administrative data often have a lag time of months to years before they are available to researchers and decision-makers. Therefore, administrative data are not always ideal for timely policy evaluations. Other sources of data are needed to rapidly evaluate policy changes and inform subsequent studies that utilize large administrative data once available. An emerging area of interest in both pharmacoepidemiology and drug policy research that can benefit from rapid data availability is biosimilar uptake, due to the potential for substantial cost savings. To respond to the need for such a data source, we established a public-private partnership to create a near-real-time database of over 1,000 nursing homes’ electronic health records to describe and quantify the effects of recent policies related to COVID-19 and medications. In this article, we first describe the components and infrastructure used to create our EHR database. Then, we provide an example that illustrates the use of this database by describing the uptake of insulin glargine-yfgn, a new exchangeable biosimilar for insulin glargine, in US nursing homes. We also examine the uptake of all biosimilars in nursing homes before and after the onset of the COVID-19 pandemic. We conclude with potential directions for future research and database infrastructure.

List of Nursing Homes in Ireland. Published by Health Service Executive. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).A list of Nursing Homes in Ireland, with geographical coordinates.

All data linked to the Open data portal is published “as is”. The Information is licensed 'as is' and the Information Provider and/or Licensor excludes all representations, warranties, obligations and liabilities in relation to the Information to the maximum extent permitted by law.

The Information Provider and/or Licensor are not liable for any errors or omissions in the Information and shall not be liable for any loss, injury or damage of any kind caused by its use. The Information Provider does not guarantee the continued supply of the Information....

• including patient history, blood tests, simple cognitive testing and CT (computed tomography)Data from the SveDem population on quality indicators defined by the Swedish national guidelines for dementia care and treatment.

BMI—body mass index, CT—computed tomography, MRI—magnetic resonance imaging, LP—lumbar puncture, PET—positron emission tomography, SPECT—single photon emission computed tomography, EEG—electroencephalography, MMSE—mini mental state examination, ChEI—cholinesterase inhibitors, NMDA—N-methyl-D-aspartate, EOAD—early onset Alzheimer´s disease, LOAD—late onset Alzheimer´s disease, AD—Alzheimer´s disease, DLB—dementia with Lewy bodies, FTD—frontotemporal dementia, PDD—Parkison´s disease dementia, USD—unspecifiedList of variables and characteristics recorded in SveDem.

This quarterly report contains demographic and bed availability information reported by Adult Care Facilities (ACFs). The regulations governing the operation of Adult Care Facilities (ACFs) – Standards for Adult Homes 487.10(e)(2), Adult Care Facilities Standards for Enriched Housing Programs 488.10(e)(4), and Standards for Residences for Adults 490.10(e)(4) – require each operator to submit a quarterly statistical information report. Available bed and census information is self-reported and is not audited by the NYSDOH. The ACF census database allows for; 1) Demographic information on Adult Care Facilities licensed in New York State; and 2) A mechanism to collect and report on the availability of certified adult care and assisted living facilities. For more information, check out: http://www.health.ny.gov/facilities/adult_care/, or go to the "About" tab.

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.

Comprehensive dataset of 11,156 Nursing homes in Germany as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.