Work Boot Brand Retailers
Worldwide: 52 countries (23,734 US) · 32,114 locations
As of October 2026, 23,734 US stores carry at least one Work Boot brand in this list. The full list has 32,114 stores in 52 countries.
Which stores carry work boot brands like yours? These 32,114 stores already stock one or more of 17 work boot brands.
More about this list
Each row says which ones. 23,734 of them are in the US. Use the list to find stores that sell your category but not your brand. Pick the competitors you care about with the carries_ columns. Then take out the stores you already sell to. The brands come from 4 product categories. Brands: Ariat, Baffin, Brunt, CAT Footwear, Danner, Durango, Georgia Boot, Justin, Keen, LaCrosse, Muck Boots, Rocky, Thorogood Workwear, Timberland, Twisted X, Wolverine, XTRATUF.
Need just some of them? Ask in your own words.
●Where the rows are
≡Sample Data Preview
| store name | address | city | state | zip | phone | website | store id | county | county fips | phone source | website source | status | is chain | chain name | chain store count | store type | overture place id | overture name | overture category | overture match meters | directions url | duplicate store ids | brands carried | brand count | naics code | naics title | sic code | sic title | industry source | updated date | carries twisted x | carries cat footwear | carries xtratuf | carries keen | carries wolverine | carries ariat | carries danner | carries baffin | carries justin | carries lacrosse | carries georgia boot | carries muck boots | carries timberland | carries durango | carries rocky | carries thorogood workwear | carries brunt | geo precision | county fips | county note | address quality | country | latitude | longitude | source | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Big Ray's | 3200 Seward Hwy | Anchorage | AK | 99503 | (907) 222-4600 | http://www.bigrays.com/ | S10869 | Anchorage Municipality | 02020 | Brand store locator | Overture (matched place) | Listed | Y | Big Ray's | 5 | 75db8ab2-d574-496c-84bf-1ef77902e744 | Big Rays | outdoor_store | 27 | https://www.google.com/maps/dir/?api=1&destination=61.191491,-149.86904246 | Twisted X | Keen | Ariat | Danner | Baffin | 5 | 459110 | Sporting Goods Retailers | 5941 | Sporting Goods Stores and Bicycle Shops | Overture category of the matched place | 2026-10-28 | Y | N | N | Y | N | Y | Y | Y | N | N | N | N | N | N | N | N | N | source | 02020 | ZIP 99503 spans 2 counties; assigned to the county holding 16% of its land area | complete | US | 61.191491 | -149.869042 | Store locators of the Work Boot brands | |||
| Bass Pro Shops | 152 Northpoint Parkway | Acworth | GA | 30102 | (470) 315-7500 | https://stores.basspro.com/us/ga/acworth/152-northpoint-parkway.html | S13921 | Cherokee County | 13057 | Brand store locator | Overture (matched place) | Listed | Y | Bass Pro Shops | 145 | 9c618262-f523-4f6c-a392-875cd1dd2378 | Bass Pro Shops | sporting_goods_store | 17 | https://www.google.com/maps/dir/?api=1&destination=34.08161705,-84.6506772 | Twisted X | XTRATUF | Keen | Wolverine | Ariat | Danner | LaCrosse | Muck Boots | Durango | Rocky | Thorogood Workwear | 11 | 459110 | Sporting Goods Retailers | 5941 | Sporting Goods Stores and Bicycle Shops | Overture category of the matched place | 2026-10-28 | Y | N | Y | Y | Y | Y | Y | N | N | Y | N | Y | N | Y | Y | Y | N | source | 13057 | ZIP 30102 spans 3 counties; assigned to the county holding 50% of its land area | complete | US | 34.081617 | -84.650677 | Store locators of the Work Boot brands | |||
| Overlook Boots - Annapolis | 2009 West St | Annapolis | MD | 21401 | (717) 759-3100 | http://www.overlookboots.com/ | S252927 | Anne Arundel County | 24003 | Brand store locator | Overture (matched place) | Listed | 524f25ff-a939-4f43-ab78-efd6e88dec34 | Overlook Boots | shoe_store | 26 | https://www.google.com/maps/dir/?api=1&destination=38.9819547,-76.5328914 | Twisted X | CAT Footwear | XTRATUF | Keen | Wolverine | Ariat | Danner | Justin | LaCrosse | Georgia Boot | Timberland | Durango | Rocky | Thorogood Workwear | 14 | 458210 | Shoe Retailers | 5661 | Shoe Stores | Overture category of the matched place | 2026-10-28 | Y | Y | Y | Y | Y | Y | Y | N | Y | Y | Y | N | Y | Y | Y | Y | N | source | 24003 | complete | US | 38.981955 | -76.532891 | Store locators of the Work Boot brands | |||||||
| Mike's Better Shoes | 41 Clementon Rd # 118 | Berlin | NJ | 08009 | (856) 767-9807 | http://www.mikesbettershoes.com | S127270 | Camden County | 34007 | Brand store locator | Overture (matched place) | Listed | https://www.google.com/maps/dir/?api=1&destination=39.79965208,-74.94012278 | S228232935 | Twisted X | Keen | Wolverine | 3 | 458210 | Shoe Retailers | 5661 | Shoe Stores | list category (no matched place) | 2026-10-28 | Y | N | N | Y | Y | N | N | N | N | N | N | N | N | N | N | N | N | source | 34007 | complete | US | 39.799652 | -74.940123 | Store locators of the Work Boot brands | ||||||||||
| Hitch'n Post | 2601 6th Ave SE | Aberdeen | SD | 57401 | (605) 229-1655 | http://www.hitchnpostwestern.com/ | S335790 | Brown County | 46013 | Brand store locator | Overture (matched place) | Listed | 39349730-8fc6-4059-b135-54e4a97c0a44 | Hitch'n Post | clothing_store | 17 | https://www.google.com/maps/dir/?api=1&destination=45.45966065,-98.45069275 | Bloc_qxrn69qy | Twisted X | Rocky | 2 | 458110 | Clothing and Clothing Accessories Retailers | 5699 | Miscellaneous Apparel and Accessory Stores | Overture category of the matched place | 2026-10-28 | Y | N | N | N | N | N | N | N | N | N | N | N | N | N | Y | N | N | source | 46013 | complete | US | 45.459661 | -98.450693 | Store locators of the Work Boot brands |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| store | Store id (unique per place in this file) | 100% |
| store | Store name as the brand's locator lists it | 100% |
| address | Street address | 100% |
| city | City | 100% |
| state | State or province code (US always; outside the US where the locator gives one) | 88% |
| zip | ZIP or postal code | 100% |
| county | US county (from the store's coordinates) | 74% |
| county | US county FIPS code | 64% |
| country | Two-letter country code | 100% |
| latitude | Latitude | 100% |
| longitude | Longitude | 100% |
| phone | Store phone | 98% |
| phone | Where the phone came from: the brand's store locator, or the matched Overture place | 98% |
| website | Store website | 59% |
| website | Where the website came from: the brand's store locator, or the matched Overture place | 59% |
| status | Listed | 100% |
| is | Y when 5 or more stores in these brand lists carry the same store name | 48% |
| chain | Chain name | 48% |
| chain | Stores with that chain name across these brand lists | 49% |
| store | The brand's own tags for the store on its locator (product lines, store types, retailer) | 3% |
| overture | Overture Maps place id of the matched place (join key to Overture data) | 62% |
| overture | Name of the matched Overture place | 62% |
| overture | Overture category of the matched place | 62% |
| overture | Distance between the store and the matched Overture place, in metres | 62% |
| directions | Google Maps directions link | 100% |
| duplicate | duplicateStoreIds | 6% |
| brands | brandsCarried | 100% |
| brand | brandCount | 100% |
| naics | NAICS 2022 code | 90% |
| naics | NAICS title | 90% |
| sic | SIC code | 90% |
| sic | SIC title | 90% |
| industry | Where the industry code came from | 90% |
| source | Source of the row | 100% |
| updated | Date the brand's locator was read | 100% |
| carries_ | Y when that brand lists the store | 100% |
| carries_ | Y when that brand lists the store | 100% |
| carries_ | Y when that brand lists the store | 100% |
| carries_ | Y when that brand lists the store | 100% |
| carries_ | Y when that brand lists the store | 100% |
| carries_ | Y when that brand lists the store | 100% |
| carries_ | Y when that brand lists the store | 100% |
| carries_ | Y when that brand lists the store | 100% |
| carries_ | Y when that brand lists the store | 100% |
| carries_ | Y when that brand lists the store | 100% |
| carries_ | Y when that brand lists the store | 100% |
| carries_ | Y when that brand lists the store | 100% |
| carries_ | Y when that brand lists the store | 100% |
| carries_ | Y when that brand lists the store | 100% |
| carries_ | Y when that brand lists the store | 100% |
| carries_ | Y when that brand lists the store | 100% |
| carries_ | Y when that brand lists the store | 100% |
| geo_ | How exact the map point is: the source's own point, the street address, or the ZIP code's centre | 100% |
| county_ | Five-digit federal code of that county | 74% |
| county_ | How the county was found, where it was not given by the source | 24% |
| address_ | Whether the street address is complete, missing a house number, or a PO box | 100% |
Rows filled is measured on every row of the delivered file.
✓Where this data comes from
Each row names the public source it came from, so any record can be checked against where it was published.
October 28, 2026
Snapshot built
57 fields
Columns in the file
Fill measured
On every row of the delivered file
How we build and date every file: methodology.
Using ChatGPT, Claude or an API?
No setup needed. Ask ChatGPT or Claude your question about the Work Boot Brand Retailers and give it this page: it can open https://locationlists.com/find?dataset=work-boot-brand-retailers with the filters you need and show you the count and price.
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.
Links an assistant can open, each showing how many rows match, a few preview rows and the price for just that part:
- Only Texas, the state with the most: https://locationlists.com/find?dataset=work-boot-brand-retailers&state=TX
- Within 25 miles of New York, NY, the busiest area: https://locationlists.com/find?dataset=work-boot-brand-retailers&near=New+York+NY&radius=25
- Only rows where carries_twisted_x is Y: https://locationlists.com/find?dataset=work-boot-brand-retailers&where=carries_twisted_x%3Aeq%3AY
- Every Work Boots list combined, within 25 miles of New York, NY: https://locationlists.com/find?category=work-boots&near=New+York+NY&radius=25
- Each one's nearest Work Boots Brand Retailers, in Texas, with miles: https://locationlists.com/find?dataset=work-boot-brand-retailers&state=TX&relate=nearest&k=1&b.dataset=work-boots-brand-retailers&b.state=TX
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=work-boot-brand-retailers - In plain words: "Work Boot Brand Retailers in Texas": https://locationlists.com/find?q=Work+Boot+Brand+Retailers+in+Texas
- In plain words: "Work Boot Brand Retailers within 25 miles of New York, NY": https://locationlists.com/find?q=Work+Boot+Brand+Retailers+within+25+miles+of+New+York%2C+NY
Optional: connect for repeat use or wallet payments:
Read https://locationlists.com/skill.md and follow the instructions to connect LocationLists. Then show me the Work Boot Brand Retailers list.Your assistant will walk you through setup and show you the price before you pay.
For developers
Every step below has a no-connector equivalent: https://locationlists.com/find?dataset=work-boot-brand-retailers with the same filters as query parameters.
- Connect your agent to
https://locationlists.com/mcp(no key, no signup). - Call
count_locationswithdataset: "work-boot-brand-retailers"and any filter — it is free, and returns how many rows match and what they cost. - Fetch the rows with
query_locations: $3.18 per 100 rows from this dataset. Above 16,057 rows, buying the whole file is cheaper.
Paid in USDC over x402 — the agent gets an HTTP 402 with the exact price, signs, and retries. Money moves only after rows are delivered, so a failed or empty query costs nothing. Setup for Claude, Cursor and VS Code
?Frequently Asked Questions
How many US stores carry Work Boot brands?
As of October 2026, 23,734 US stores carry at least one Work Boot brand in this list. The full list has 32,114 stores in 52 countries.
Which stores carry work boot brands?
32,114 stores carry at least one of the 17 work boot brands in this list. 23,734 of them are in the US. Each row names the brands that store carries.
How do I find stores that carry my competitors but not my brand?
Filter on the carries_ column of each competitor you care about. Then remove the stores already on your own store locator. The stores left sell your category but do not sell your brand yet.
Who is this list for?
Work boot brands and the reps and distributors who sell for them. It shows which stores already sell the category and which brands each store stocks.
Where does this data come from?
Two kinds of source, merged one row per store. 9 of the 17 brands come from a retail inventory network that brands and stores use to show shoppers where products are in stock. The other 8 come from each brand's own store locator on its website. The brand lists were read between 2026-10-11 and 2026-10-14.
What is one row?
One store. A store on more than one brand's locator is one row (same Overture place, or the same name within 75 m). brandsCarried and the carries_ columns say which brands list it.
Why these brands?
They are Work Boot brands. They sell in 4 different product categories, so no single category list holds them all.
How is this different from the category lists?
18,576 of these 32,114 stores are not in the Work Boots Brand Retailers list, the category list closest to this one.
Does it include stores outside the US?
Yes. 8,380 of the 32,114 stores are outside the US, across 51 countries. Filter on country for one market.
Where do websites and phones come from?
From the brands' locators where they give them. Otherwise from the Overture Maps place at the same spot with the same name. phoneSource and websiteSource say which.
How is the price set?
It is the 17 brand lists' prices added up, less 10%.