Eating Disorder Treatment Center Locations
171 US eating disorder treatment center businesses, from national chains to single independent shops, 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Nourish In Recovery | 100 N Buckstown Rd Ste 202 | Langhorne | PA | 19047-1875 | (215) 967-2503 | https://www.banyantreatmentcenter.com | de043744-a11c-4fea-b1d0-54fcd29d3e88 | eating_disorder_treatment_center | |health_care|specialized_medical_facility|eating_disorder_treatment_center| | specialized_medical_facility | open | 0.75 | BrightQuery | 101998956 | BrightQuery:101998956 | 2026-08-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: eating_disorder_treatment_center names a business, not premises | 40.187576 | -74.876553 | ||||||
| Alsana | 1260 Saint Paul Rd | Wildwood | MO | 63021-8207 | (866) 299-0492 | https://www.alsana.com | a9afaa2c-f6f5-4eca-a11d-36f3f5430481 | eating_disorder_treatment_center | |health_care|specialized_medical_facility|eating_disorder_treatment_center| | specialized_medical_facility | open | 0.92 | BrightQuery | 104159951 | BrightQuery:104159951|Overture-signals:7bcba41d-3c95-4844-85e9-d5cc79feb631 | 2026-08-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: eating_disorder_treatment_center names a business, not premises | 38.547689 | -90.574409 | ||||||
| Monte Nido Vista | 28855 Lake Vista Dr | Agoura Hills | CA | 91301-2801 | (818) 338-7890 | https://www.montenido.com | c2aa06de-9a34-4662-9518-ef1797685de1 | eating_disorder_treatment_center | |health_care|specialized_medical_facility|eating_disorder_treatment_center| | specialized_medical_facility | open | 0.92 | BrightQuery | 103680806 | BrightQuery:103680806|Overture-signals:74ea86a3-d310-4af7-9756-3c3f427c01b1 | 2026-08-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: eating_disorder_treatment_center names a business, not premises | 34.111448 | -118.751793 |
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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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.
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https://locationlists.com/find?dataset=eating-disorder-treatment-center-locations
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For developers
Dataset slug eating-disorder-treatment-center-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=eating-disorder-treatment-center-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).