On an annual basis (based on individual Long-Term Care (LTC) facility fiscal year end), California licensed LTC facilities report detailed financial data on facility information, ownership information, patient days & discharges, Balance Sheet, Equity Statement, Cash Flows, Income Statement, Revenue by type and payer, Expense Detail, and Labor Detail. Based on the selected data set, the pivot tables display summarized data on a Profile page and also provides charts on various data items such as Patient Days, Revenue & Expense, and Revenue.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
The Nursing Home Weekly Bed Census: Last Submission data is the most current nursing home data available. Available bed and occupancy information is self-reported and is not audited by the Department of Health.
The Department of Health requires nursing homes to complete electronic filing of each facility's licensed nursing home beds and availability by bed category on a weekly basis. This dataset is refreshed monthly.
The New York State Nursing Home Quality Initiative (NHQI) is an annual evaluation and ranking of eligible Medicaid-certified nursing homes in New York State. Nursing homes are evaluated on their performance in three components: Quality, Compliance, and Efficiency. Nursing homes are awarded points for their performance in each measure and ranked into overall quintiles, the first quintile containing the best performing homes. Refer to the Measures document to learn more about the specific measures in the NHQI, and the data sources and time frames used. Changes in measure specifications and the deletion or addition of measures will limit the ability to trend this data over time. The quality measures are based on past data and may not accurately reflect a nursing home’s most current quality performance. Refer to the Overview document for more information on the limitations of this dataset. The information in this dataset is intended to be used in conjunction with other sources for assessing quality of care in nursing homes, including in-person visits to a nursing home. For more information, go to the "About" tab.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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 CDPH data system created to manage state licensing-related data and enforcement actions.
The “Health Facilities’ State Enforcement Actions” dataset includes summary information for state enforcement actions (state citations or administrative penalties) issued to California healthcare facilities. This file, a sub-set of the ELMS system data, includes state enforcement actions that have been issued from July 1, 1997 through June 30, 2024. Data are presented for each citation/penalty, and include information about the type of enforcement action, violation category, penalty amount, violation date, appeal status, and facility.
The “LTC Citation Narrative” dataset contains the full text of citations that were issued to long-term care (LTC) facilities between January 1, 2012 – December 31, 2017. DO NOT DOWNLOAD in Excel as this file has large blocks of text which may truncate. For example, Excel 2007 and later display, and allow up to, 32,767 characters in each cell, whereas earlier versions of Excel allow 32,767 characters, but only display the first 1,024 characters. Please refer to instructions in “E_Citation_Access_DB_How_To_Docs”, about how to download and view data.
These files enable providers and the public to identify facility non-compliance and quality issues. By making this information available, quality issues can be identified and addressed. Please refer to the background paper, “About Health Facilities’ State Enforcement Actions” for information regarding California state enforcement actions before using these data. Data dictionaries and data summary charts are also available.
Note: The Data Dictionary at the bottom of the dataset incorrectly lists the data column formats as all Text. For proper format labels, please go here.
ADHS Division of Licensing Mission Statement: To protect the health and safety of Arizonans by providing information, establishing standards, and licensing and regulating health and child care services.The Arizona Department of Health Services-Bureau of Long-Term Care Licensing licenses and inspects Arizona nursing homes facilities. Long-Term Care staff also perform Medicaid certification inspections for Arizona's Intermediate Care Facilities for the Developmentally Disabled (ICFDD).Records are created and maintained by Bureau of Long-Term Care Licensing staff in the licensing division, while the GIS Team extracts the data and creates GIS layers and shares them publicly. Each month, an extract from the ADHS Division of Licensing SQL database is geocoded using ADHS's internal geocoder, and post-processed using a Python script to create and publish feature classes by facility type, including long-term care facilities. Last Updated: February 2025Updated frequency: MonthlyData FAQs:Some records have “license_expiration” earlier than the “rundate” while the “OPERTION_STATUS” is “ACTIVE”, should we treat all records with “OPERATION_STATUS” of “ACTIVE” as open at the time the data is released? Answer: Yes - ACTIVE is all the current licenses. In 2019 there was a perpetual rule change that affected certain facilities so in lieu of an expiration date, we began tracking the annual fee due date in the "license_expiration" field. Per rule, these facilities can submit annual requirements up to 30 days after the fee due date (aka license expiration in the provider database) so we do expect some to be earlier than the run date. Is the FACID of the same facility maintained unique and same throughout all releases? If a facility is purchased by a different company or has it’s name changed, is the FACID changed? Answer: The FACID represents a licensed premise - in many cases the facility ID is maintained when purchased by a different owner but under federal rule, certain facilities may choose to have a new CMS certification number which would require a new FACID be issued for that premise. What’s the unit type of capacities for different categories? Answer: This varies - it can be child capacity, bed count, dialysis station, etc. For Group_Home_for_Individuals_with_a_Developmental_Disability and Residential_Facility, how to tell if the employer’s office is at the facility VS the employer’s office is somewhere else and employees are sent to those facilities? Also is there a way to tell if a facility only has part time workers (Like workers only need to be at the residential facility less than 8hr per day or less than 5 days a week )? Answer: This is not currently available on the public databaseThe data contains a 'COUNTY' field and a "N_County' field - which one should I use to filter results? Answer: N_County - this is the county that's assigned when a record is geocoded using the physical street address, vs one that is assigned manually during the licensing process.
The New York State Nursing Home Quality Initiative (NHQI) is an annual evaluation and ranking of eligible Medicaid-certified nursing homes in New York State. Nursing homes are evaluated on their performance in three components: Quality, Compliance, and Efficiency. Nursing homes are awarded points for their performance in each measure and ranked into overall quintiles, the first quintile containing the best performing homes. Refer to the Measures document to learn more about the specific measures in the NHQI, and the data sources and time frames used. Changes in measure specifications and the deletion or addition of measures will limit the ability to trend this data over time. The quality measures are based on past data and may not accurately reflect a nursing home’s most current quality performance. Refer to the Overview document for more information on the limitations of this dataset. The information in this dataset is intended to be used in conjunction with other sources for assessing quality of care in nursing homes, including in-person visits to a nursing home. For more information, go to the "About" tab.
The New York State Nursing Home Quality Initiative (NHQI) is an annual evaluation and ranking of eligible Medicaid-certified nursing homes in New York State. Nursing homes are evaluated on their performance in three components: Quality, Compliance, and Efficiency. Nursing homes are awarded points for their performance in each measure and ranked into overall quintiles, the first quintile containing the best performing homes. Refer to the Measures document to learn more about the specific measures in the NHQI, and the data sources and time frames used. Changes in measure specifications and the deletion or addition of measures will limit the ability to trend this data over time. The quality measures are based on past data and may not accurately reflect a nursing home’s most current quality performance. Refer to the Overview document for more information on the limitations of this dataset. The information in this dataset is intended to be used in conjunction with other sources for assessing quality of care in nursing homes, including in-person visits to a nursing home. For more information, go to the "About" tab.
Note: Data elements were retired from HERDS on 10/6/23 and this dataset was archived.
This dataset includes the cumulative number and percent of healthcare facility-reported fatalities for patients with lab-confirmed COVID-19 disease by reporting date and age group. This dataset does not include fatalities related to COVID-19 disease that did not occur at a hospital, nursing home, or adult care facility. The primary goal of publishing this dataset is to provide users with information about healthcare facility fatalities among patients with lab-confirmed COVID-19 disease.
The information in this dataset is also updated daily on the NYS COVID-19 Tracker at https://www.ny.gov/covid-19tracker.
The data source for this dataset is the daily COVID-19 survey through the New York State Department of Health (NYSDOH) Health Electronic Response Data System (HERDS). Hospitals, nursing homes, and adult care facilities are required to complete this survey daily. The information from the survey is used for statewide surveillance, planning, resource allocation, and emergency response activities. Hospitals began reporting for the HERDS COVID-19 survey in March 2020, while Nursing Homes and Adult Care Facilities began reporting in April 2020. It is important to note that fatalities related to COVID-19 disease that occurred prior to the first publication dates are also included.
The fatality numbers in this dataset are calculated by assigning age groups to each patient based on the patient age, then summing the patient fatalities within each age group, as of each reporting date. The statewide total fatality numbers are calculated by summing the number of fatalities across all age groups, by reporting date. The fatality percentages are calculated by dividing the number of fatalities in each age group by the statewide total number of fatalities, by reporting date. The fatality numbers represent the cumulative number of fatalities that have been reported as of each reporting date.
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On an annual basis (based on individual Long-Term Care (LTC) facility fiscal year end), California licensed LTC facilities report detailed financial data on facility information, ownership information, patient days & discharges, Balance Sheet, Equity Statement, Cash Flows, Income Statement, Revenue by type and payer, Expense Detail, and Labor Detail. Based on the selected data set, the pivot tables display summarized data on a Profile page and also provides charts on various data items such as Patient Days, Revenue & Expense, and Revenue.