Rivian Locations
There are 253 US Rivian locations as of October 2026.
Each has an 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Rivian Waypoints | 223 State Park Rd | Blackville | SC | 29817 | (888) 748-4261 | https://rivian.com/experience/charging | e30bf07b-4d85-4146-9a41-cf22179e7432 | Rivian | Nrivian | ev_charging_station | |travel_and_transportation|fueling_station|ev_charging_station| | ev_charging_station | open | 0.92 | Microsoft | 562949965628046 | Microsoft:562949965628046|Overture-signals:706150bf-f634-4699-8a0f-4f00774b96b9 | 2026-10-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: ev_charging_station names a business, not premises | 33.329401 | -81.302876 | ||||
| Rivian | 300 Santana Row #105 | San Jose | CA | 95128 | (408) 877-6185 | https://rivian.com/en-CA/spaces/san-jose | 1acf6b89-c8e8-4186-a2b2-d9acf73f2641 | Rivian | Nrivian | auto_dealer | |shopping|vehicle_dealer|auto_dealer| | auto_dealer | https://www.facebook.com/585799771289562 | open | 0.92 | meta | 585799771289562 | meta:585799771289562|Overture-signals:31d4ef84-49c9-4877-8144-896cc34e05c7 | 2026-10-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.62 | category: "dealer" (store); brand: Rivian | 37.322784 | -121.947548 | ||
| Rivian Service + Demo Center | 1914 Mendenhall Dr | North Las Vegas | NV | 89081 | (725) 234-0410 | https://rivian.com/en-CA/spaces/north-las-vegas-service-demo-center | 0d830431-0ec4-4a66-ad3e-35360d8867e4 | Rivian | Nrivian | auto_restoration_service | |travel_and_transportation|vehicle_service|automotive_service|auto_restoration_service| | automotive_service | open | 0.99 | Microsoft | 562949965627906 | Microsoft:562949965627906|Overture-signals:b7b3ae0e-ce3b-4e11-b9d6-d9528e71556b | 2026-10-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: auto_restoration_service names a business, not premises | 36.241749 | -115.120598 |
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 October 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, 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>&where=<column>:<op>:<value>&total=<rows>
Leave out what the question does not need. Distance is radius, in straight-line miles; 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:
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=rivian-locations
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Every answer shows its exact price before you pay, by card, no account; the whole list is $1.63. Counts, previews and comparisons with other lists are free.
For developers
Dataset slug rivian-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=rivian-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).