H&M Locations
480 US H&M locations, 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| H&M | 801 N Congress Ave | Boynton Beach | FL | 33426 | (855) 466-7467 | https://www2.hm.com/en_us/index.html | 011ecfdb-f76c-47f5-96fc-901c94e279ac | H&M | Q188326 | clothing_store | |shopping|fashion_and_apparel_store|clothing_store| | fashion_and_apparel_store | open | 0.92 | Microsoft | 1688849863516107 | Microsoft:1688849863516107|Overture-signals:b2a7a7fc-75aa-4608-b82e-bbb3d0b913a8 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.84 | category: "store" (store); brand: H&M | 26.535227 | -80.096279 | |||
| H&M | 500 W Germantown Pike | Plymouth Meeting | PA | 19462-1353 | (855) 466-7467 | https://www2.hm.com/en_us/index.html | 6a9a6cf1-1e91-449e-baaf-f2072d3fcf12 | H&M | Q188326 | womens_clothing_store | |shopping|fashion_and_apparel_store|clothing_store|womens_clothing_store| | fashion_and_apparel_store | customerservice.us@hm.com | https://www.facebook.com/113161754926473 | open | 0.92 | meta | 113161754926473 | meta:113161754926473|Overture-signals:19699a4f-5340-4846-aac7-79ba54f3f557 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.84 | category: "store" (store); brand: H&M | 40.116323 | -75.282425 | |
| H&M | 4051 Division St | St Cloud | MN | 56301-3741 | (855) 466-7467 | https://www2.hm.com/en_us/index.html | 18ed2d51-de36-42a7-af78-465b447c824f | H&M | Q188326 | clothing_store | |shopping|fashion_and_apparel_store|clothing_store| | fashion_and_apparel_store | https://www.facebook.com/169980380317577 | open | 0.92 | meta | 169980380317577 | meta:169980380317577|Overture-signals:f05a31ce-f63a-4422-9778-3dd057ccb458 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | store | 0.84 | category: "store" (store); brand: H&M | 45.555252 | -94.209381 |
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=hm-locations
Ask in ChatGPT or Claude
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Every answer shows its exact price before you pay, by card, no account; the whole list is $2.80. Counts, previews and comparisons with other lists are free.
For developers
Dataset slug hm-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=hm-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).