The 2004 National Nursing Home Survey (NNHS), conducted between August and December of 2004, was reintroduced into the field after a five-year break, during which time the survey was redesigned and expanded to collect many new data items. All nursing homes that participated in the NNHS had at least three beds and were either certified (by Medicare or Medicaid) or had a state license to operate as a nursing home. The redesigned survey was administered using a computer-assisted personal interviewing (CAPI) system and included a supplemental survey of nursing assistants employed by nursing homes, the National Nursing Assistant Survey (NNAS), which was sponsored by the Office of the Assistant Secretary for Planning and Evaluation (APSE).

The National Nursing Home Survey provides information on nursing homes from two perspectives-that of the provider of services and that of the recipient of care. Data about the facilities include characteristics such as size, ownership, Medicare/Medicaid certification, services provided and specialty programs offered, and charges. For recipients, data were obtained on demographic characteristics, health status and medications taken, services received, and sources of payment.

Data for the survey were obtained through personal interviews with facility administrators and designated staff who used administrative records to answer questions about the facilities, staff, services and programs, and medical records to answer questions about the residents.

The total number of nursing home facilities that participated in NNHS is 1,174 and the total number of nursing assistants that participated in the National Nursing Assistant Survey is 3,017.

Context

This official dataset from the Medicare.gov Nursing Home Compare website allows for comparison of over 15,000 Medicare and Medicaid-certified nursing homes in the country.

Content

Separate data collections include:

• Deficiencies, including fire safety, health, and inspection cycle types

• Ownership details, including ownership percentage

• Penalties, including filing date, fee, and payment date

• Provider details, including non or for profit status, staff ratings, and survey scores

• Quality MSR (Minimum Savings Rate) claims, including adjusted and observed scores

• MDS (Minimum Data Set) quality measures, scored on a quarterly basis

• State averages, including total number of quarterly deficiencies, and nurse staffing hours

• Survey summaries for each nursing home

Inspiration

• How would you determine what the top ten best nursing homes in the country are? The least?

• Which states have the best level of nursing home care? The least?

• In general, what are the most common types of complaints and deficiencies?

Acknowledgements

This dataset was collected by Medicare.gov, and the original files can be accessed here.

Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Sheba-Nursing-Home-Care-Ltd..

Explore the historical Whois records related to nursing-home-abuse-resource.com (Domain). Get insights into ownership history and changes over time.

Explore the historical Whois records related to assisted-living-websites.com (Domain). Get insights into ownership history and changes over time.

This code replicates the tables in the paper.. Visit https://dataone.org/datasets/sha256%3Ab7b3c2a0733544f6adebd11f80c024495080486dc475beee588c3928e947b79c for complete metadata about this dataset.

Explore the historical Whois records related to assisted-living-facilities-austin.com (Domain). Get insights into ownership history and changes over time.

Certified by the Executive Office of Aging & Independence, Assisted Living Residences (ALRs) are private residences that offer, for a monthly fee, housing, meals, and personal care services to aging adults who live independently.

A data set of a multicohort study of persons 70 years of age and over designed primarily to measure changes in the health, functional status, living arrangements, and health services utilization of two cohorts of Americans as they move into and through the oldest ages. The project is comprised of four surveys: * The 1984 Supplement on Aging (SOA) * The 1984-1990 Longitudinal Study of Aging (LSOA) * The 1994 Second Supplement on Aging (SOA II) * The 1994-2000 Second Longitudinal Study of Aging (LSOA II) The surveys, administered by the U.S. Census Bureau, provide a mechanism for monitoring the impact of proposed changes in Medicare and Medicaid and the accelerating shift toward managed care on the health status of the elderly and their patterns of health care utilization. SOA and SOA II were conducted as part of the in-person National Health Interview Survey (NHIS) of noninstitutionalized elderly people aged 55 years and over living in the United States in 1984, and at least 70 years of age in 1994, respectively. The 1984 SOA served as the baseline for the LSOA, which followed all persons who were 70 years of age and over in 1984 through three follow-up waves, conducted by telephone in 1986, 1988, and 1990. The SOA covered housing characteristics, family structure and living arrangements, relationships and social contracts, use of community services, occupation and retirement (income sources), health conditions and impairments, functional status, assistance with basic activities, utilization of health services, nursing home stays, and health opinions. Most of the questions from the SOA were repeated in the SOA II. Topics new to the SOA II included use of assistive devices and medical implants; health conditions and impairments; health behaviors; transportation; functional status, assistance with basic activities, unmet needs; utilization of health services; and nursing home stays. The major focus of the LSOA follow-up interviews was on functional status and changes that had occurred between interviews. Information was also collected on housing and living arrangements, contact with children, utilization of health services and nursing home stays, health insurance coverage, and income. LSOA II also included items on cognitive functioning, income and assets, family and childhood health, and more extensive health insurance information. The interview data are augmented by linkage to Medicare enrollment and utilization records, the National Death Index, and multiple cause-of-death records. Data Availability: Copies of the LSOA CD-ROMs are available through the NCHS or through ICPSR as Study number 8719. * Dates of Study: 1984-2000 * Study Features: Longitudinal * Sample Size: ** 1984: 16,148 (55+, SOA) ** 1984: 7,541(70+, LSOA) ** 1986: 5,151 (LSOA followup 1) ** 1988: 6,921 (LSOA followup 2) ** 1990: 5,978 (LSOA followup 3) ** 1994-6: 9,447 (LSOA II baseline) ** 1997-8: 7,998 (LSOA II wave 2) ** 1999-0: 6,465 (LSOA II wave 3) Link: * LSOA 1984-1990 ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/08719

Health Facility General Information

Art 28, 36 & 40 Accredited Facilities & Programs

By Health Data New York [source]

About this dataset

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), including hospitals, nursing homes, certified home health care agencies, hospices and diagnostic treatment centers. These facilities are fundamental to providing necessary medical services throughout the state and it is up to local governments to properly track them.

In this dataset you will find information such as facility name, short description, address information for both the operator and cooperator (as applicable), zip codes for each location, a unique certificate number issued by HFIS for each facility or program, latitude/longitude coordinates for each location as well as the type of ownership of that facility. All of this data helps ensure that people can access essential medical services in their area quickly and easily.

So no matter what type of medical service you are looking for or which locality within New York State you're located in, you can use this insight-backed dataset to understand where these important services are located near you! Before using the data provided be sure to download and read through our Terms of Service for an understanding of proper usage requirements

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How to use the dataset

This dataset can be used to provide information about the location of Article 28, Article 36 and Article 40 health care facilities and programs. This data provides information about each health facility, such as its name, address, phone number, website, type of ownership and more. With this data you can easily explore which health care facilities are available in your area or around the world.

To get started with this dataset there are a few simple steps you need to take: - Read through the Terms of Service: Be sure to read through all terms before using this dataset as it sets out what is allowed and not allowed when using it. - View the Column Labels: This will help you understand which columns best correspond with any searches or analysis that you want to do on this data set - Conduct Your Search/Analysis: Once you've determined which columns best match your query begin running your own searches/analysis on the Health Facilities Information System (HFIS). - Filter for Relevant Datapoints: Utilize filters if needed to narrow down specific datapoints that are relevant for your search/analysis 5 Enjoy Your Results!: Enjoy exploring all of the results of your analysis

Research Ideas

• Create an interactive map to show the distribution of health facilities and programs across different states, cities and regions.
• Analyze the data to identify areas with increased or decreased need for certain types of health care services and develop appropriate strategies for service improvisation in these areas.
• Use customer feedback from patient surveys to compare facilities based on their performance in providing quality healthcare services including cost efficiency and patient satisfaction rates, in order to improve the overall standards of care within these establishments

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: health-facility-general-information-1.csv | Column name | Description | |:---------------------------------|:-----------------------------------------------------------------| | Facility Name | Name of the health care facility or program. (String) | | Short Description | A brief description of the facility or program. (String) | | Facility Open Date | The date the facility or program opened. (Date) | | Facility Address 1 | The first line of the facility's address. (String) | | Facility Address 2 | The second line of the facility's address. (String) | | Facility City | The city the facility is located in. (String) | | Facility State | The state the facility is located in. (String) | | Facility Zip Code | The zip code of the facility. (String) ...

Probate, pre-probate, and divorce real estate data offers valuable insights and opportunities for real estate professionals to identify and pursue potential leads. These datasets provide information about properties involved in probate, pre-probate, and divorce cases, enabling professionals to target motivated sellers and navigate specialized market niches. In this brief, we will explore the concept of probate, pre-probate, and divorce data, and discuss their applications across various industries.

What is Probate, Pre-Probate, and Divorce Data?

Probate Data refers to the legal process of settling the estate of a deceased person. Probate data includes information about properties owned by individuals who have passed away and are being transferred to their heirs or beneficiaries through a court-supervised process. This dataset contains details about properties that may be sold to distribute the deceased person’s assets or resolve any outstanding debts.

Pre-Probate Data includes properties owned by individuals who are alive but have designated their assets to be transferred to their heirs upon their passing. This dataset allows real estate professionals to identify potential sellers who may be interested in selling their properties before going through the probate process.

Divorce Data pertains to properties involved in divorce proceedings. When couples go through a divorce, the division of assets often includes the sale or transfer of properties. This dataset provides information on properties that may become available for sale due to a divorce settlement, providing real estate professionals with opportunities to target motivated sellers.

Gain an in-depth view of probate, pre-probate and divorce characteristics for more than 155 million properties across the country (or at the state- and country-level), including: - Property Address - Owner First & Last Name - Mailing Address - Legal Description - Property Value - Property Use - Parcel ID - Year Built - Date Of Death (Probate & Pre-Probate) - Defendant Information (Divorce) - Plaintiff Information (Divorce) - Defendant Attorney Information (Divorce) - Plaintiff Attorney Information (Divorce)

Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Priya-Nursing-Home-Health-Care.

Like other Assessor and Recorder data sets from First American, BlackKnight, ATTOM or HouseCanary, we provide both residential real estate and commercial restate data on homes, properties and pracels nationally.

Over 250M parcels, updated daily.

Access detailed property and tax assessment records with our extensive nationwide database. This robust dataset provides comprehensive information about residential and commercial properties, including detailed ownership, valuation, and transaction history. Core Data Elements:

Complete property identification (APNs, Tax IDs) Full property addresses with geocoding Precise latitude/longitude coordinates FIPS codes and Census tract information School district assignments

Property Characteristics:

Detailed lot dimensions and size Building square footage breakdowns Living area measurements Basement and attic specifications Garage and parking information Year built and effective year Number of bedrooms and bathrooms Room counts and configurations Building class and condition codes Construction details and materials Property amenities and features

Valuation Information:

Current AVM (Automated Valuation Model) values Confidence scores and value ranges Market valuations with dates Assessed values (land and improvements) Tax amounts and years Tax rate codes and districts Various tax exemption statuses

Transaction History:

Current and previous sale details Recording dates and document numbers Sale prices and price codes Buyer and seller information Multiple mortgage records including:

Loan amounts and terms Lender information Recording dates Interest rates Due dates Loan types and positions

Ownership Details:

Current owner information Corporate ownership indicators Owner-occupied status Mailing addresses Care of names Foreign address indicators

Legal Information:

Complete legal descriptions Subdivision details Lot and block numbers Zoning information Land use codes HOA information and fees

Property Status Indicators:

Vacancy flags Pre-foreclosure status Current listing status Price ranges Market position

Perfect For:

Real Estate Professionals

Property researchers Title companies Real estate attorneys Appraisers Market analysts

Financial Services

Mortgage lenders Insurance companies Investment firms Risk assessment teams Portfolio managers

Government & Planning

Urban planners Tax assessors Economic developers Policy researchers Municipal agencies

Data Analytics

Market researchers Data scientists Economic analysts GIS specialists Demographics experts

Data Delivery Features:

Multiple format options Regular updates Bulk download capability Custom field selection Geographic filtering API access available Standardized formatting Quality assured data

Quality Assurance:

Verified against public records Regular updates Standardized formatting Address verification Geocoding validation Duplicate removal Data normalization Quality control processes

This comprehensive property database provides unprecedented access to detailed property information, perfect for industry professionals requiring in-depth property data for analysis, research, or business development. Our data undergoes rigorous quality control processes to ensure accuracy and completeness, making it an invaluable resource for real estate professionals, financial institutions, and government agencies. Updated continuously from authoritative sources, this dataset offers the most current and accurate property information available in the market. Custom data extracts and specific geographic coverage options are available to meet your exact needs.

Weekly/Quarterly/Annual and One-time options are available for sale.

See our sample

If you’re looking for motivated sellers, Probate Data provides an opportunity to target an audience that would benefit from your services. Your experience can make a big difference when selling or investing in a home while dealing with a challenging life event.

Datasys New Home Owners dataset highlights over 5M newly purchased properties across the U.S. each year. Updated monthly, this data includes property details, buyer information, and transaction records. It helps mortgage providers, insurers, and home service brands target consumers at the critical moment of purchase. With property-level accuracy, it supports timely marketing campaigns aligned with major life-stage changes.

Explore the historical Whois records related to assisted-living-sacramento.org (Domain). Get insights into ownership history and changes over time.

This National Master Facility Inventory data file is intended to provide a comprehensive list of nursing homes and related care homes in the United States in 1982. The criteria for inclusion were that a home maintained three or more inpatient beds and provided one or more personal care services (such as help with eating, walking, correspondence, dressing, bathing, or using the toilet) or supervisory care. The file contains the names and addresses of 26,817 such facilities along with characteristics such as total beds set up and staffed for use, number of beds certified by Medicare or Medicaid as skilled and intermediate beds, total residents, and type of ownership. Facilities that only provided services to the mentally ill or the mentally retarded are not included in this file. Each facility has a unique identification number that incorporates the Federal Information Processing Standards state and county codes for sorting and selection by state, county, city, or zip code.

Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Landermeads-Private-Nursing-Home.

Kinder Residential Real Estate Assessor & Recorder + Tier 1 Contact Dataset

The KinderData Residential Real Estate Assessor & Recorder + Tier 1 Contact Dataset is a nationwide U.S. property intelligence platform covering 160 million residential and commercial parcels across all 50 states. Updated daily from county assessor, recorder, and verified contact sources, it delivers unmatched accuracy and depth for real estate, financial services, government, marketing, and analytics applications.

What Makes KinderData Different

Integrated Tier 1 Homeowner Contact Data: verified phone, email, and mailing addresses linked to each parcel for marketing, real estate investing, underwriting, and risk use cases.

Nationwide coverage across all 50 states with millions of verified residential and commercial parcels.

Daily refresh cycles ensuring the most current tax, ownership, and transaction records.

Flexible access: bulk delivery, API, or tailored extracts.

Data standardization: normalized formats for seamless use in analytics platforms, CRMs, and enterprise systems.

AI-Driven Property Scores: confidence ratings that help users prioritize the most accurate and relevant records.

Property Intelligence Included

Identification: parcel/APN numbers

Characteristics: lot size, living area, building class, year built, structural details, amenities

Ownership & Contacts: current owners, corporate ownership flags, owner-occupied status, Tier 1 verified phones, emails, and mailing addresses, cash buyer indicators

Valuations: assessed values, tax assessments, exemptions, market value estimates

Transactions: historical and recent sales, buyer/seller records, deeds, mortgage and lien data

Legal & Zoning: subdivision and lot details, zoning codes, land use categories

Status Flags: foreclosure indicators, vacancy signals, current market position

Designed For

Real Estate & PropTech: portfolio analysis, real estate investing, AVMs, comps, listing and disposition platforms

Financial Services: mortgage lending, insurance, investment due diligence, risk modeling

Government & Planning: taxation, zoning, urban development, policy research

Marketing & Lead Generation: targeted homeowner audiences, property-linked campaigns, verified direct-mail and digital or direct outreach

Data & Analytics Teams: demographic overlays, contact enrichment, predictive modeling

Quality & Delivery

KinderData’s property and contact records undergo continuous validation and normalization, including geocoding checks, duplicate removal, and schema standardization.

BatchData provides access to 150+ million residential and commercial properties and property owners, covering 99+% of the us population. Enrich records, build lists, or power real estate websites and application based on:

• Property Type
• Property Owner Info
• Building Characteristics
• MLS Listing Details
• Foreclosure Information
• Distress Factors
• Mortgage Details
• Household Demographics
• Ownership/Vacancy Status
• Home Equity
• Real Estate Valuation
• Property Liens
• Transfer of Sale, Probate, Inherited
• Much more!

BatchData is both a data and technology company, offering multiple self-service platforms, APIs and professional services solutions to meet your specific data needs. Whether you're looking for residential real estate data, commercial real estate data, property listing and transaction data, we've got you covered!

BatchData is the most comprehensive aggregator of US property and homeowner information, known for accuracy and completeness of records. BatchService can also provides homeowner and agency contact information for residential and commercial properties, including cell phone number and emails.