Cultural Center Locations
2,673 US cultural center businesses, from national chains to single independent shops, with address, phone, website and map coordinates.
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Or ask for the part you need: an area, a distance, a condition. Counts and previews are free, and each answer shows its exact price.
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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Gulukul | 1177 W Olive Ave | Sunnyvale | CA | 94086 | (415) 894-9794 | https://www.gulukul.com/books | aa19fc65-d3c7-4885-968e-f7f6b15b1448 | cultural_center | |cultural_and_historic|cultural_center| | cultural_center | info@gulukul.com | https://www.facebook.com/1905885536367344 | open | 0.92 | meta | 1905885536367344 | meta:1905885536367344|Overture-signals:b5a22865-c773-444e-ac00-a5342c0320b1 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: cultural_center names a business, not premises | 37.375048 | -122.054634 | ||||
| Centro Cultural Mintsita Mexikani | 1126 S 3rd St | Watertown | WI | 53094-6536 | (920) 390-1128 | 60c4154a-2c10-457c-b26d-a8e5b134f9bb | cultural_center | |cultural_and_historic|cultural_center| | cultural_center | https://www.facebook.com/284707514872783 | 0.53 | meta | 284707514872783 | meta:284707514872783 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: blank; category: cultural_center names a business, not premises | 43.183842 | -88.723793 | |||||||
| Cultural Center Hrisohorafiton Alexander the Great | 880 Main St | Worcester | MA | 01610 | (856) 475-7303 | 885ef59e-93ec-4b43-a778-3f0c812dd866 | cultural_center | |cultural_and_historic|cultural_center| | cultural_center | https://www.facebook.com/103765996576 | open | 0.92 | meta | 103765996576 | meta:103765996576|Overture-signals:6a542f06-dbba-4d8c-bd98-6f04b9247ad9 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: blank; category: cultural_center names a business, not premises | 42.253256 | -71.816998 |
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.
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=cultural-center-locations
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For developers
Dataset slug cultural-center-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=cultural-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).