Assisted Living Waiver (ALW) eligible individuals are those who are enrolled in Medi-Cal and meet the level of care provided in a nursing facility due to their medical needs. Individuals with Medi-Cal benefits that include a share of cost may not enroll in the ALW. This dataset contains the provider number, provider legal name, provider business name, capacity per provider enrollment, provider physical location, provider counties and provider phone number of facilities enrolled in the ALW program. Data as of 1/1/2023

Comprehensive dataset containing 39,209 verified Assisted living facility businesses in United States with complete contact information, ratings, reviews, and location data.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.The purpose of the study was to: Examine resident abuse from staff report by direct care workers in a nationally representative sample of assisted living settings;Expand the scope of our understanding of resident abuse by including medication abuse in assisted living settings; and Use the data collected to examine: a. rates of abuse; b. the association of external organizational, and internal factors with resident abuse; c. direct care worker characteristics associated with abuse; d. resident characteristics associated with abuse; e. leadership characteristics associated with abuse; f. the inter-correlations of different types of abuse; and, g. resident-to-resident abuse.For the purposes of this research, an assisted living facility is defined as a long term care setting that typically provides residents for activities of daily living and instrumental activities of daily living. Using state listings from websites, researchers identified approximately 21,000 of assisting living facilities. A random sample of approximately seven percent (n=1,500) of these eligible assisted living facilities were selected from all 50 states. Administrators of assisted living facilities were asked if they were willing to complete the questionnaire (n=1,376). Administrators were also asked if they would be willing to distribute the questionnaire to direct care workers (n=12,555). Researchers requested that they distribute the survey to all full-time and part-time direct care workers on all shifts. Follow up reminder mailings and emails were used for the administrators.

Dataset includes README file that describes all datapoints.

From the project Web site: "To date, the Long-Term Care COVID Tracker is the most comprehensive dataset about COVID-19 in US long-term care facilities. It compiles crucial data about the effects of the pandemic on a population with extraordinary vulnerabilities to the virus due to age, underlying health conditions, or proximity to large outbreaks.

The dataset compiles all currently available information of COVID-19 cases and related deaths in long-term care facilities—nursing homes, skilled nursing facilities, assisted living facilities, and other care homes—and tracks both residents and staff."

Price-To-Sales-Ratio Time Series for PACS Group, Inc.. PACS Group, Inc., through its subsidiaries, operates skilled nursing facilities and assisted living facilities in the United States. The company also provides senior care and independent facilities. It engages in the acquisition, ownership, and leasing of health care-related properties. The company was founded in 2013 and is based in Farmington, Utah. Skilled Nursing Care Facility

The FHA insured Multifamily Housing portfolio consists primarily of rental housing properties with five or more dwelling units such as apartments or town houses, but can also be nursing homes, hospitals, elderly housing, mobile home parks, retirement service centers, and occasionally vacant land. Please note that this dataset overlaps the Multifamily Properties Assisted layer. The Multifamily property locations represent the approximate location of the property. Location data for HUD-related properties and facilities are derived from HUD's enterprise geocoding service. While not all addresses are able to be geocoded and mapped to 100% accuracy, we are continuously working to improve address data quality and enhance coverage. Please consider this issue when using any datasets provided by HUD. When using this data, take note of the field titled “LVL2KX” which indicates the overall accuracy of the geocoded address using the following return codes: ‘R’ - Interpolated rooftop (high degree of accuracy, symbolized as green) ‘4’ - ZIP+4 centroid (high degree of accuracy, symbolized as green) ‘B’ - Block group centroid (medium degree of accuracy, symbolized as yellow) ‘T’ - Census tract centroid (low degree of accuracy, symbolized as red) ‘2’ - ZIP+2 centroid (low degree of accuracy, symbolized as red) ‘Z’ - ZIP5 centroid (low degree of accuracy, symbolized as red) ‘5’ - ZIP5 centroid (same as above, low degree of accuracy, symbolized as red) Null - Could not be geocoded (does not appear on the map) For the purposes of displaying the location of an address on a map only use addresses and their associated lat/long coordinates where the LVL2KX field is coded ‘R’ or ‘4’. These codes ensure that the address is displayed on the correct street segment and in the correct census block. The remaining LVL2KX codes provide a cascading indication of the most granular level geography for which an address can be confirmed. For example, if an address cannot be accurately interpolated to a rooftop (‘R’), or ZIP+4 centroid (‘4’), then the address will be mapped to the centroid of the next nearest confirmed geography: block group, tract, and so on. When performing any point-in polygon analysis it is important to note that points mapped to the centroids of larger geographies will be less likely to map accurately to the smaller geographies of the same area. For instance, a point coded as ‘5’ in the correct ZIP Code will be less likely to map to the correct block group or census tract for that address. In an effort to protect Personally Identifiable Information (PII), the characteristics for each building are suppressed with a -4 value when the “Number_Reported” is equal to, or less than 10. To learn more about HUD Insured Multifamily Properties visit: https://www.hud.gov/program_offices/housing/mfh Data Dictionary: DD_HUD Insured Multifamilly Properties

Minimum Data Set Frequency

  Description

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… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/minimum-data-set-frequency.

The American Community Survey (ACS) is an ongoing survey that provides vital information on a yearly basis about our nation and its people by contacting over 3.5 million households across the country. The resulting data provides incredibly detailed demographic information across the US aggregated at various geographic levels which helps determine how more than $675 billion in federal and state funding are distributed each year. Businesses use ACS data to inform strategic decision-making. ACS data can be used as a component of market research, provide information about concentrations of potential employees with a specific education or occupation, and which communities could be good places to build offices or facilities. For example, someone scouting a new location for an assisted-living center might look for an area with a large proportion of seniors and a large proportion of people employed in nursing occupations. Through the ACS, we know more about jobs and occupations, educational attainment, veterans, whether people own or rent their homes, and other topics. Public officials, planners, and entrepreneurs use this information to assess the past and plan the future. For more information, see the Census Bureau's ACS Information Guide . This public dataset is hosted in Google BigQuery as part of the Google Cloud Public Datasets Program , with Carto providing cleaning and onboarding support. It is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

The Federal Pharmacy Partnership for Long-Term Care (LTC) Program was a partnership between CDC and CVS, Walgreens, and Managed Health Care Associates, Inc. The program offered on-site COVID-19 vaccination services for residents of nursing homes and assisted living facilities. The Federal Pharmacy Partnership for LTC Program was in effect after vaccines became available to April 23, 2021. This is the historical archived data related to the LTC Program and represents data that was shown on COVID Data Tracker through September 30, 2021. Twelve variables that provided data on residents and staff vaccinated through the program were removed from the COVID-19 Vaccinations in the United States,Jurisdiction dataset. LTC was removed as an option from the location variable in the following datasets: COVID-19 Vaccinations in the United States,Jurisdiction and COVID-19 Vaccination Trends in the United States,National and Jurisdictional.

Centers for Medicare & Medicaid Services - Nursing HomesThis feature layer, utilizing data from the Centers for Medicare & Medicaid Services (CMS), displays the locations of nursing homes in the U.S. Nursing homes provide a type of residential care. They are a place of residence for people who require constant nursing care and have significant deficiencies with activities of daily living. Per CMS, "Nursing homes, which include Skilled Nursing Facilities (SNFs) and Nursing Facilities (NFs), are required to be in compliance with Federal requirements to receive payment under the Medicare or Medicaid programs. The Secretary of the United States Department of Health & Human Services has delegated to the CMS and the State Medicaid Agency the authority to impose enforcement remedies against a nursing home that does not meet Federal requirements." This layer includes currently active nursing homes, including number of certified beds, address, and other information.Bridgepoint Sub-Acute and Rehab Capitol HillData downloaded: August 1, 2024Data source: Provider InformationData modification: This dataset includes only those facilities with addresses that were appropriately geocoded.For more information: Nursing homes including rehab servicesFor feedback, please contact: ArcGIScomNationalMaps@esri.comCenters for Medicare & Medicaid ServicesPer USA.gov, "The Centers for Medicare and Medicaid Services (CMS) provides health coverage to more than 100 million people through Medicare, Medicaid, the Children’s Health Insurance Program, and the Health Insurance Marketplace. The CMS seeks to strengthen and modernize the Nation’s health care system, to provide access to high quality care and improved health at lower costs."

Note: This web page provides data on health facilities only. To file a complaint against a facility, please see: https://www.cdph.ca.gov/Programs/CHCQ/LCP/Pages/FileAComplaint.aspx

The California Department of Public Health (CDPH), Center for Health Care Quality, Licensing and Certification (L&C) Program licenses more than 30 types of healthcare facilities. The Electronic Licensing Management System (ELMS) is a California Department of Public Health data system created to manage state licensing-related data. This file lists the bed types and bed type capacities that are associated with California healthcare facilities that are operational and have a current license issued by the CDPH and/or a current U.S. Department of Health and Human Services’ Centers for Medicare and Medicaid Services (CMS) certification. This file can be linked by FACID to the Healthcare Facility Locations (Detailed) Open Data file for facility-related attributes, including geo-coding. The L&C Open Data facility beds file is updated monthly. To link the CDPH facility IDs with those from other Departments, like HCAI, please reference the "Licensed Facility Cross-Walk" Open Data table at https://data.chhs.ca.gov/dataset/licensed-facility-crosswalk. A list of healthcare facilities with addresses can be found at: https://data.chhs.ca.gov/dataset/healthcare-facility-locations.

HUD’s Multifamily Housing property portfolio consist primarily of rental housing properties with five or more dwelling units such as apartments or town houses, but can also include nursing homes, hospitals, elderly housing, mobile home parks, retirement service centers, and occasionally vacant land. HUD provides subsidies and grants to property owners and developers in an effort to promote the development and preservation of affordable rental units for low-income populations, and those with special needs such as the elderly, and disabled. The portfolio can be broken down into two basic categories: insured, and assisted. The three largest assistance programs for Multifamily Housing are Section 8 Project Based Assistance, Section 202 Supportive Housing for the Elderly, and Section 811 Supportive Housing for Persons with Disabilities. The Multifamily property locations represent the approximate location of the property. The locations of individual buildings associated with each property are not depicted here. Location data for HUD-related properties and facilities are derived from HUD's enterprise geocoding service. While not all addresses are able to be geocoded and mapped to 100% accuracy, we are continuously working to improve address data quality and enhance coverage. Please consider this issue when using any datasets provided by HUD. When using this data, take note of the field titled “LVL2KX” which indicates the overall accuracy of the geocoded address using the following return codes: ‘R’ - Interpolated rooftop (high degree of accuracy, symbolized as green) ‘4’ - ZIP+4 centroid (high degree of accuracy, symbolized as green) ‘B’ - Block group centroid (medium degree of accuracy, symbolized as yellow) ‘T’ - Census tract centroid (low degree of accuracy, symbolized as red) ‘2’ - ZIP+2 centroid (low degree of accuracy, symbolized as red) ‘Z’ - ZIP5 centroid (low degree of accuracy, symbolized as red) ‘5’ - ZIP5 centroid (same as above, low degree of accuracy, symbolized as red) Null - Could not be geocoded (does not appear on the map) For the purposes of displaying the location of an address on a map only use addresses and their associated lat/long coordinates where the LVL2KX field is coded ‘R’ or ‘4’. These codes ensure that the address is displayed on the correct street segment and in the correct census block. The remaining LVL2KX codes provide a cascading indication of the most granular level geography for which an address can be confirmed. For example, if an address cannot be accurately interpolated to a rooftop (‘R’), or ZIP+4 centroid (‘4’), then the address will be mapped to the centroid of the next nearest confirmed geography: block group, tract, and so on. When performing any point-in polygon analysis it is important to note that points mapped to the centroids of larger geographies will be less likely to map accurately to the smaller geographies of the same area. For instance, a point coded as ‘5’ in the correct ZIP Code will be less likely to map to the correct block group or census tract for that address. In an effort to protect Personally Identifiable Information (PII), the characteristics for each building are suppressed with a -4 value when the “Number_Reported” is equal to, or less than 10. To learn more about Multifamily Housing visit: https://www.hud.gov/program_offices/housing/mfh, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_HUD Assisted Multifamily Properties Date of Coverage: 06/2025

Comprehensive dataset containing 38 verified Always Best Care Senior Services locations in United States with complete contact information, ratings, reviews, and location data.

This dataset contains the locations of Article 28, Article 36 and Article 40 health care facilities and programs from the Health Facilities Information System (HFIS). Article 28 facilities are hospitals, nursing homes, and diagnostic treatment centers. Article 36 facilities are certified home health care agencies and long term home health care programs. Article 40 facilities are hospices. The dataset currently only contains the locations of hospitals and hospital extension clinics. The data for the remaining facility types will be added in the future. While the NYS Department of Health makes every effort to post accurate and reliable information, it does not guarantee or warrant that the information in this dataset is complete, accurate or up-to-date. If you have more reliable data than what is presented here, please send an update request to hfismb@health.state.ny.us . Please include facility name and FAC ID in the subject of correspondence. The "About" tab contains additional details concerning this dataset.

This dataset denotes HUD subsidized Multifamily Housing properties excluding insured hospitals with active loans. HUD’s Multifamily Housing property portfolio consist primarily of rental housing properties with five or more dwelling units such as apartments or town houses, but can also include nursing homes, hospitals, elderly housing, mobile home parks, retirement service centers, and occasionally vacant land. HUD provides subsidies and grants to property owners and developers in an effort to promote the development and preservation of affordable rental units for low-income populations, and those with special needs such as the elderly, and disabled. The portfolio can be broken down into two basic categories: insured, and assisted. The three largest assistance programs for Multifamily Housing are Section 8 Project Based Assistance, Section 202 Supportive Housing for the Elderly, and Section 811 Supportive Housing for Persons with Disabilities. The Multifamily property locations represent the approximate location of the property. The locations of individual buildings associated with each property are not depicted here.

The Resident Assessment Instrument/Minimum Data Set (RAI/MDS) is a comprehensive assessment and care planning process used by the nursing home industry since 1990 as a requirement for nursing home participation in the Medicare and Medicaid programs. The RAI/MDS provides data for monitoring changes in resident status that are consistent and reliable over time. The VA commitment to quality propelled the implementation of the RAI/MDS in its nursing homes now known as VA Community Living Centers (CLC). In addition to providing consistent clinical information, the RAI/MDS can be used as a measure of both quality and resource utilization, thereby serving as a benchmark for quality and cost data within the VA as well as with community based nursing facilities. Workload based on RAI/MDS can be calculated electronically by the interactions of the elements of the MDS data and grouped into 53 categories referred to as Resource Utilization Groups (RUG-IV). Residents are assessed quarterly. The data is grouped for analysis at the Austin Information Technology Center (AITC). Conversion to electronic data entry and transmission to the AITC was completed system-wide by year-end 2000. In 2010, the Centeres for Medicare and Medicaide Services released a significantly upgraded version, MDS 3.0, to begin to be implemented on October 1, 2011 in VHA CLCs. Training is underway currently. The MDS 3.0 will generate a new set of Quality Indicators and Quality Monitors as well the RUGs will increase to 64 RUGs from the current 53 RUG groups.

Contains all occupied and vacant facilities portfolio from Facility Planning (commercial spaces) and Community Operations (community centers, senior centers, day care centers, health centers, etc) It includes the 5 Community Operations borough offices. The source data is our latest Property Directory as December 2012. The field “Comments” contains summary codes to distinguish the type of facility (BO – NYCHA Community Operations Borough Offices, CO – Community Operations, FP – Facility Planning). Please note that there are two commercial spaces (not coded under field “comments”)recorded in our property directory which are not part of the portfolio for Facility Planning.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.