---
license: cc0-1.0
task_categories:
  - text-classification
  - tabular-classification
  - tabular-regression
language:
  - en
tags:
  - federal
  - government
  - regulatory
  - united-states
  - public-data
  - cc0
  - us-centers-for-medicare-medicaid-service
  - cms
  - nursing-home
  - abuse
pretty_name: "CMS Nursing Home Compare"
size_categories:
  - unknown
homepage: https://api.ai-analytics.org/datasets/cms-nursing-homes
---

# CMS Nursing Home Compare (with abuse + SFF flags)

Every Medicare/Medicaid-certified US nursing home (14,699 facilities) with the CRITICAL compliance flags: abuse_icon (1,497 facilities with confirmed abuse citations in the last 12 months) and special_focus_status (526 SFF / SFF-candidate facilities — the worst-performing 5%). Includes corporate chain affiliation for parent-org KYC. ProPublica + the Nursing Home Inspect project built reporting empires on this exact dataset.

## Live API

This dataset is served via a **live REST API** at `api.ai-analytics.org`. The card you're reading exists so HuggingFace's index can route AI agents + researchers to the canonical source.

- **API endpoint**: `https://api.ai-analytics.org/api/v1/nursing-homes/recent`
- **Dataset landing page**: <https://api.ai-analytics.org/datasets/cms-nursing-homes>
- **DataCatalog (JSON-LD)**: <https://api.ai-analytics.org/.well-known/dataset.json>
- **DCAT-US (data.gov-compatible)**: <https://api.ai-analytics.org/data.json>

### Quick start

```bash
# Recent records (JSON)
curl 'https://api.ai-analytics.org/api/v1/nursing-homes/recent?limit=10'

# Browse on the web
open 'https://api.ai-analytics.org/datasets/cms-nursing-homes'
```

### MCP (Model Context Protocol)

This dataset is also accessible via MCP at `https://api.ai-analytics.org/mcp` — Claude, ChatGPT, and other MCP-compatible agents can call it directly.

## Source

- **Agency**: US Centers for Medicare & Medicaid Services
- **Primary source**: <https://data.cms.gov/provider-data/dataset/4pq5-n9py>
- **License**: CC0 1.0 Universal (derived data). Underlying federal works are US public domain under [5 USC 105](https://www.law.cornell.edu/uscode/text/5/105) / [17 USC 105](https://www.law.cornell.edu/uscode/text/17/105).
- **Update cadence**: Per agency (most refresh daily via Cloudflare Cron Trigger)

## Keywords

CMS, nursing home, abuse, Special Focus Facility, SFF, elder care, Medicare, Medicaid, 5-star rating

## Citation

```bibtex
@misc{ai_analytics_cms_nursing_homes_2026,
  title  = {{name}},
  author = {AI Analytics},
  year   = {2026},
  url    = {https://api.ai-analytics.org/datasets/cms-nursing-homes},
  note   = {Derived from US Centers for Medicare & Medicaid Services. License: CC0 1.0.}
}
```

## Related

- [Full data catalog (100 datasets)](https://api.ai-analytics.org/datasets/)
- [Unified compliance screening (30+ enforcement lists)](https://api.ai-analytics.org/api/v1/screening/all)
- [Cross-vertical entity timeline](https://api.ai-analytics.org/api/v1/entity/AAPL/timeline)
- [OpenAPI 3.1 spec](https://api.ai-analytics.org/openapi.json)
- [llms.txt for AI agents](https://api.ai-analytics.org/llms.txt)

---
*Maintained by [AI Analytics](https://ai-analytics.org). Data is CC0; please cite the upstream agency.*