Medicare-certified nursing homes
Centers for Medicare & Medicaid Services
In a RepVector build, this dataset maps the physical sites that deliver service inside a territory.
| Facility | City | County | Ownership | Certified beds | Avg daily residents |
|---|---|---|---|---|---|
| Life Care Center of Boise | Boise | Ada | For profit - Limited Liability company | 153 | 65.4 |
| Skyline Transitional Care Center | Boise | Ada | For profit - Corporation | 111 | 72.9 |
| Arbor Valley of Cascadia | Boise | Ada | For profit - Partnership | 148 | 136.8 |
| Shaw Mountain of Cascadia | Boise | Ada | For profit - Corporation | 108 | 90.9 |
| Timber Springs Transitional Care | Boise | Ada | For profit - Limited Liability company | 120 | 93.3 |
| Life Care Center of Treasure Valley | Boise | Ada | For profit - Corporation | 120 | 91.3 |
| Creekside Transitional Care and Rehabilitation | Meridian | Ada | For profit - Corporation | 139 | 120.7 |
| Aspen Transitional Rehabilitation | Meridian | Ada | For profit - Corporation | 30 | 29 |
What this dataset is
Every Medicare- and Medicaid-certified nursing home, with ownership type, certified bed count, average daily residents, staffing hours, deficiencies and CMS star ratings. Identifies the skilled-nursing and long-term-care facilities operating in a market and how they compare on size, ownership and quality. It is published by Centers for Medicare & Medicaid Services and can be queried at county and state level, refreshed monthly. Each row is an individual entity — an organisation, site or practitioner — so results can be filtered, routed and turned directly into a call list.
Why it is useful
- Produces routable addresses, so a day in the field can be planned around drive time.
- Shows capacity and service mix, which qualifies an account before the first call.
- Exposes coverage deserts where a facility should exist and does not.
Questions it helps answer
- Which sites inside this radius actually deliver the service I sell into?
- What is the realistic route for a single field day here?
- Where are the gaps between where people live and where services exist?
How different verticals use it
RepVector is vertical-agnostic: this dataset is selected by what your question asks for, not by industry. These are common ways teams put it to work.
Produces routable sites with service mix so a field day is planned around drive time.
Maps installed-base locations for service and replacement cycles.
Identifies delivery points and their density inside a service radius.
Exposes coverage deserts where a site should exist and does not.
How RepVector uses it
- You describe a market in plain language. The geography resolver turns the place you named into the exact identifiers this dataset needs — city to county to state, plus DMA where relevant — so a query at county runs without you knowing any codes.
- The planner selects Medicare-certified nursing homes only when your question matches what it actually reports. It is never included to pad a result.
- Returned rows are normalised into the shared metric layer, so figures from Centers for Medicare & Medicaid Services line up with every other source in the same dashboard instead of sitting in an isolated table.
- Quality checks score coverage and recency. If Centers for Medicare & Medicaid Services suppresses or omits a value for your geography, the gap is reported as a gap — nothing is estimated or filled in.
- The result renders as charts, KPIs and, where the rows are entities, prioritised targets you can export to PDF, Excel, CSV or JSON.
What it does not tell you
- Site records describe the location, not the individual clinician or buying committee inside it.
| Field | Key | Type |
|---|---|---|
| Facility | name | string |
| City | city | string |
| County | county | string |
| Ownership | ownership | string |
| Certified beds | beds | number |
| Avg daily residents | avgResidents | number |
| CMS star rating | rating | number |
| ZIP | zip | geo |
| Phone | phone | string |
How it fits with the rest of the catalog
Facility locations plus provider rosters give you both the address and the name to ask for at the desk. RepVector queries every selected dataset against the same resolved geography and time window, then normalises the results into one metric layer so they can be charted side by side. These datasets are the most common companions to Medicare-certified nursing homes:
Other facilities datasets
Common questions
What does Medicare-certified nursing homes contain?
Every Medicare- and Medicaid-certified nursing home, with ownership type, certified bed count, average daily residents, staffing hours, deficiencies and CMS star ratings. Identifies the skilled-nursing and long-term-care facilities operating in a market and how they compare on size, ownership and quality. It is published by Centers for Medicare & Medicaid Services at county and state grain.
How often is it refreshed?
Centers for Medicare & Medicaid Services publishes on a monthly cycle. RepVector re-reads the source on that cadence and keeps every prior capture, so you can see what changed.
Do I need an account to use it?
No. Browsing the catalog and the free lookup tools needs no account. Running a full market build across every county in a territory is the paid product.
Build the list for one county and see whether the names are right.
Ask in plain language. RepVector finds the universe, enriches each target from its own website, scores it 0–100, and hands you a ranked call list with phones, addresses and named contacts.
3 free runs — no card required.