Kickboxing Club Locations
760 US kickboxing club 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| iLoveKickboxing - Annapolis | 302 Harry S Truman Pkwy | Annapolis | MD | 21401 | (443) 569-8988 | https://www.ilovekickboxing.com/annapolis | 31855aae-0925-4714-a4d6-c8fb86b85cbf | kickboxing_club | |sports_and_recreation|sport_or_recreation_club|martial_arts_club|kickboxing_club| | sport_or_recreation_club | open | 0.92 | Microsoft | 1970324838947172 | Microsoft:1970324838947172|Overture-signals:cf57b376-0e2b-4299-a174-4166c2c8ba80 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: kickboxing_club names a business, not premises | 38.974583 | -76.555393 | ||||||
| 9Round Fitness | 535 Minonite Rd Ste 106 | Rosenberg | TX | 77469 | (832) 344-0232 | http://www.9round.com/locations/tx/rosenberg/minonite-rd | 9d581241-9462-47a2-9eb8-54bb23dac5d4 | 9Round Kickboxing Fitness | N9roundkickboxingfitness | kickboxing_club | |sports_and_recreation|sport_or_recreation_club|martial_arts_club|kickboxing_club| | sport_or_recreation_club | open | 0.92 | Microsoft | 1125899911385426 | Microsoft:1125899911385426|Overture-signals:a9b39f7d-c591-47d1-9a97-9880b0907f9c | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: kickboxing_club names a business, not premises | 29.539448 | -95.743858 | ||||
| Allstar Karate & Kickboxing Gym | 29 Veronica Dr | Martinsburg | WV | 25404-3756 | (304) 262-9559 | http://www.allstarmartialarts.com | f6499734-05f0-44b9-8432-db344c1972d8 | kickboxing_club | |sports_and_recreation|sport_or_recreation_club|martial_arts_club|kickboxing_club| | sport_or_recreation_club | open | 0.55 | BrightQuery | 82667679 | BrightQuery:82667679 | 2026-08-13 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: kickboxing_club names a business, not premises | 39.479309 | -77.949478 |
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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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=kickboxing-club-locations
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For developers
Dataset slug kickboxing-club-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=kickboxing-club-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).