Memorial Site Locations
7,883 US memorial site 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Rosedale Memorial Park | 3850 Richlieu Rd | Bensalem | PA | 19020-1604 | (215) 357-0308 | https://www.rosedalememorialpark.com | 84014cda-5e9c-4fa3-817e-510f9bd3d601 | memorial_park | |cultural_and_historic|memorial_site|memorial_park| | memorial_site | open | 0.95 | BrightQuery | 103338197 | BrightQuery:103338197|Overture-signals:77e49901-cdb6-4ad1-a0ab-5c38ec1e1af6 | 2026-08-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: memorial_park names a business, not premises | 40.132082 | -74.944218 | ||||||
| West End Cemetery | 1574 E 4150 N | Buhl | ID | 83316 | (208) 543-4251 | http://www.imortuary.com/funeral-homes/idaho/buhl/west-end-cemetery-district | 1d6a7832-ca39-4abf-aa83-f6ebe08a4c73 | cemetery | |cultural_and_historic|memorial_site|cemetery| | cemetery | https://www.facebook.com/114453758579497 | 0.77 | Foursquare | 5824c982199fe62299d43449 | Foursquare:5824c982199fe62299d43449 | 2025-10-19 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: cemetery names a business, not premises | 42.601004 | -114.774551 | ||||||
| Sedro-Woolley City | 1450 Wicker Rd | Sedro Woolley | WA | 98284 | (360) 856-1751 | http://ci.sedro-woolley.wa.us/Home/main.htm | fe937975-8467-4dc1-a4a4-68ee5ce7b423 | cemetery | |cultural_and_historic|memorial_site|cemetery| | cemetery | 0.77 | Foursquare | 22f919acd1054e4817cf6e3f | Foursquare:22f919acd1054e4817cf6e3f | 2024-11-29 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: cemetery names a business, not premises | 48.506802 | -122.220985 |
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=memorial-site-locations
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For developers
Dataset slug memorial-site-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=memorial-site-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).