U-Haul Locations
27,495 US U-Haul locations, with address, phone, website and map coordinates.
Buy the whole list — 27,495 rows · $141.91
Over 10,000 rows, we build the file after you pay and email you the link, about 2 minutes later.
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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| U-Haul Neighborhood Dealer | 2236 Highland Ave S | Birmingham | AL | 35205 | (205) 780-6100 | https://www.uhaul.com/Locations/Truck-Rentals-near-Birmingham-AL-35205/007555/ | be7a4a6b-869d-4ce1-8c16-3b751648e39a | U-Haul | Nuhaul | truck_rental_service | |services_and_business|rental_service|vehicle_rental_service|truck_rental_service| | rental_service | open | 0.92 | Microsoft | 1125899910077464 | Microsoft:1125899910077464|Overture-signals:87badba4-cc96-4938-8651-33d17910bc53 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.82 | name: "dealer" (store); category: truck_rental_service names a business, not premises; brand: U-Haul | 33.502214 | -86.790237 | |||
| U-Haul Neighborhood Dealer | 1498 220th St | Boone | IA | 50036 | (515) 432-3252 | https://www.uhaul.com/Locations/Truck-Rentals-near-Boone-IA-50036/031191/ | 6a2d36e4-c8d1-4c72-920c-a63784c97f52 | U-Haul | Nuhaul | truck_rental_service | |services_and_business|rental_service|vehicle_rental_service|truck_rental_service| | rental_service | open | 0.92 | Microsoft | 1125899910064651 | Microsoft:1125899910064651|Overture-signals:a40d7adc-2120-45ad-9016-18e80351d047 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.82 | name: "dealer" (store); category: truck_rental_service names a business, not premises; brand: U-Haul | 42.033613 | -93.873573 | |||
| U-Haul Neighborhood Dealer | 1195 S US Highway 1 | Vero Beach | FL | 32962 | (772) 563-2527 | https://www.uhaul.com/Locations/Truck-Rentals-near-Vero-Beach-FL-32962/027096/ | 94bf226f-8327-4b3c-821a-17ec64685ea3 | U-Haul | Nuhaul | truck_rental_service | |services_and_business|rental_service|vehicle_rental_service|truck_rental_service| | rental_service | open | 0.92 | Microsoft | 1125899910911944 | Microsoft:1125899910911944|Overture-signals:eb648345-9f24-46b5-9707-a315ea6f2a34 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.82 | name: "dealer" (store); category: truck_rental_service names a business, not premises; brand: U-Haul | 27.580669 | -80.376488 |
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/.
Using ChatGPT, Claude or an API?
Ask this list a question with a link
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:
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=u-haul-locations
Ask in ChatGPT or Claude
Copy this and paste it in:
Every answer shows its exact price before you pay, by card, no account; the whole list is $141.91, we email the file when it's built (about 2 minutes). Counts, previews and comparisons with other lists are free.
For developers
Dataset slug u-haul-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=u-haul-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).