Hibbett Locations

There are 1,146 US Hibbett locations as of October 2026.

Each has an address, phone, website and map coordinates.

$6.23for all 1,146 Hibbett locations, by card.

Buy the whole list — 1,146 rows · $6.23

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

hibbett-locations.csvscroll →UTF-8
nameaddresscitystatezipphonewebsiteoverture idbrandbrand idwikidatacategorycategory pathbasic categoryemailsocialoperating statusconfidencesource datasetsource record idsource idssource updateddata licenselocation typelocation type confidencelocation type basislatitudelongitude
Hibbett Sports721 N Perkins RdStillwaterOK74075(405) 743-1342https://www.hibbett.com/storedetails/OK/Stillwater/99583abc534-2a0f-44dc-8aef-47394067a740HibbettNhibbettshoe_store|shopping|fashion_and_apparel_store|shoe_store|fashion_and_apparel_storeopen0.92Microsoft1970324840727457Microsoft:1970324840727457|Overture-signals:45ec6bba-0c9d-4d7d-875f-5501fbefb3812026-10-13Overture Maps Foundation, CDLA-Permissive-2.0store0.79category: "store" (store); brand: Hibbett36.129904-97.049782
Hibbett Sports2200 El Mercado Loop Ste 1240Sierra VistaAZ85635-5220(520) 459-8698https://www.hibbett.combde8ba33-e540-44e3-9b5f-275d176f15f3HibbettNhibbettshoe_store|shopping|fashion_and_apparel_store|shoe_store|fashion_and_apparel_storeopen0.99BrightQuery100912030BrightQuery:100912030|Overture-signals:bcba87a9-8b6d-4a8a-b98c-a769522a95f12026-10-14Overture Maps Foundation, CDLA-Permissive-2.0store0.79category: "store" (store); brand: Hibbett31.529581-110.259872
Hibbett Sports1903 Park Ave Ste 5100MuscatineIA52761(563) 264-1600https://www.hibbett.com/storedetails/IA/Muscatine/4412d32bbee-840d-4a97-aeb1-b3e0cd0ef095HibbettNhibbettshoe_store|shopping|fashion_and_apparel_store|shoe_store|fashion_and_apparel_storeopen0.92Microsoft1125899911981520Microsoft:1125899911981520|Overture-signals:8fdaf89f-0ba0-490c-b7a9-2b5376ba53282026-10-13Overture Maps Foundation, CDLA-Permissive-2.0store0.79category: "store" (store); brand: Hibbett41.446274-91.027977
Three sample rows; the file you buy has all 28 columns.

What's in each row

FieldWhat it is
overture_idMap data id for the place, stable across monthly releases
nameBusiness name
brandBrand or chain name, when the place belongs to one
brand_idOur id for that brand (its Wikidata id where one exists)
wikidataWikidata id of the brand
categoryKind of place, from the map data
category_pathThe category with every broader category above it
basic_categoryA broader, simpler category
addressStreet address
cityCity
stateState (two-letter code)
zipZIP code
phonePhone number
websiteWebsite
emailEmail address
socialSocial media page
latitudeLatitude
longitudeLongitude
operating_statusWhether the place is open, where the source says; closed places are left out of the list
confidenceHow sure the map data is that the place exists (0 to 1)
source_datasetWhich source contributed the record
source_record_idThe record's id in that source
source_idsEvery source record merged into this row
source_updatedWhen the source last updated the record
data_licenseThe license the row is published under
location_typeKind of premises: store, office, branch, warehouse and so on, read from the name, website and category
location_type_confidenceHow sure the location type is (0 to 1)
location_type_basisWhat 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/.

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, 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=hibbett-locations

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Using LocationLists, how many Hibbett locations are in Iowa? Show a sample and the price.

Every answer shows its exact price before you pay, by card, no account; the whole list is $6.23. Counts, previews and comparisons with other lists are free.

For developers

Dataset slug hibbett-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=hibbett-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).