NovaCare Rehabilitation Locations
415 US NovaCare Rehabilitation locations, with address, phone, website and map coordinates.
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Sample data
| name | address | city | state | zip | phone | website | overture id | brand | brand id | wikidata | category | category path | basic category | social | operating status | confidence | source dataset | source record id | source ids | source updated | data license | location type | location type confidence | location type basis | latitude | longitude | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| NovaCare Rehabilitation | 798 County Rd 539 Ste 2 | Little Egg Harbor Twp | NJ | 08087 | (609) 294-4720 | https://www.novacare.com/contact/find-a-location/nj/tuckerton/tuckerton/?ty=xt | c0512a42-2359-4228-8ba1-bb06a39dc82b | NovaCare Rehabilitation | Nnovacarerehabilitation | physical_therapy | |health_care|outpatient_care_facility|physical_medicine_and_rehabilitation|physical_therapy| | physical_medicine_and_rehabilitation | https://www.facebook.com/209171675891516 | open | 1.0 | meta | 209171675891516 | meta:209171675891516|Overture-signals:24900bef-f2af-4996-816e-4f1f1f626108 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: physical_therapy names a business, not premises | 39.615307 | -74.342236 | |||
| NovaCare Rehabilitation | 5350 Transportation Blvd | Garfield Heights | OH | 44125-5307 | (216) 332-0540 | https://www.novacare.com/contact/find-a-location/oh/garfield-heights/garfield-heights/?ty=xt | 6a5590bd-4584-49c0-9acc-a347b660ee07 | NovaCare Rehabilitation | Nnovacarerehabilitation | physical_therapy | |health_care|outpatient_care_facility|physical_medicine_and_rehabilitation|physical_therapy| | physical_medicine_and_rehabilitation | https://www.facebook.com/973338799378625 | open | 0.99 | meta | 973338799378625 | meta:973338799378625|Overture-signals:6d40a01d-890b-413b-ba81-4d843e992194 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: physical_therapy names a business, not premises | 41.415863 | -81.616543 | |||
| NovaCare Rehabilitation | 2410 S Broad St Suite 101 | Philadelphia | PA | 19145 | (215) 334-4400 | https://www.novacare.com/contact/find-a-location/pa/philadelphia/south-broad-street/?ty=xt | 45bcd51a-6abc-403d-82ac-198782d52692 | NovaCare Rehabilitation | Nnovacarerehabilitation | physical_therapy | |health_care|outpatient_care_facility|physical_medicine_and_rehabilitation|physical_therapy| | physical_medicine_and_rehabilitation | https://www.facebook.com/160329960655003 | open | 0.92 | meta | 160329960655003 | meta:160329960655003|Overture-signals:6fbd1215-203b-4b58-8f89-c1214d5603ab | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: physical_therapy names a business, not premises | 39.920267 | -75.170788 |
What's in each row
| Field | What it is |
|---|---|
| overture_ | Map data id for the place, stable across monthly releases |
| name | Business name |
| brand | Brand or chain name, when the place belongs to one |
| brand_ | Our id for that brand (its Wikidata id where one exists) |
| wikidata | Wikidata id of the brand |
| category | Kind of place, from the map data |
| category_ | The category with every broader category above it |
| basic_ | A broader, simpler category |
| address | Street address |
| city | City |
| state | State (two-letter code) |
| zip | ZIP code |
| phone | Phone number |
| website | Website |
| Email address | |
| social | Social media page |
| latitude | Latitude |
| longitude | Longitude |
| operating_ | Whether the place is open, where the source says; closed places are left out of the list |
| confidence | How sure the map data is that the place exists (0 to 1) |
| source_ | Which source contributed the record |
| source_ | The record's id in that source |
| source_ | Every source record merged into this row |
| source_ | When the source last updated the record |
| data_ | The license the row is published under |
| location_ | Kind of premises: store, office, branch, warehouse and so on, read from the name, website and category |
| location_ | How sure the location type is (0 to 1) |
| location_ | What the location type was read from |
Source & license
Open map data from the Overture Maps Foundation, release of August 2026, refreshed monthly. Closed and low-confidence places are removed and duplicates within 50 meters merged. Contains data from Overture Maps Foundation (https://overturemaps.org), Places theme, licensed CDLA-Permissive-2.0 (https://cdla.dev/permissive-2-0/); some sources are Apache-2.0. See https://docs.overturemaps.org/attribution/.
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Using ChatGPT or Claude? Tell it to answer from locationlists.com/find — no account, no connector.
How assistants ask
No connector needed. Any AI assistant can answer from this site with a web link, no connector, no account: open https://locationlists.com/find with the question as query parameters.
If a question needs filtering, distance, drive time, combining lists or a price, open a /find link: either put the question itself in q=, or build the structured link. The answer does not need an API, a connector or an account.
Simplest, the question itself: https://locationlists.com/find?q=<the question in plain words>
Or set the parts yourself: https://locationlists.com/find?dataset=<slug>&state=<ST>&city=<city>&county=<county>&zip=<zip>&near=<place or zip>&radius=<miles>&drive=<minutes>&where=<column>:<op>:<value>&total=<rows>
Leave out what the question does not need. Use radius for straight-line miles or drive for minutes of driving (5 to 60), not both; near can name several places separated by | to reach from any of them. To ask about several lists at once, use datasets with two or more names, or category with a kind of business. To compare two lists, add relate=nearest and the other list with b. in front of its parameters. To count by area, use areas=county (or zip, state, metro). To keep only places whose county, ZIP code, metro area or state meets a Census figure, add area_where (for example county:population>1000000); with areas, per=100000 gives counts per 100,000 residents.
Open one of these to see how many places match, a few preview rows and the price for just those rows:
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https://locationlists.com/find?dataset=novacare-rehabilitation-locations
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For developers
Dataset slug novacare-rehabilitation-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=novacare-rehabilitation-locations. Works in every MCP tool and the x402 query API like any other dataset (count_locations, get_sample, query_locations, relate_locations, count_by_area, cotenancy).