Runnings
U.S. · 90 locations
Runnings is an employee-owned farm, ranch, and outdoor supply retailer operating 90 stores across the northern United States, with concentrations in Minnesota, South Dakota, Montana, and New York.
More about this list
Their stores carry agricultural supplies, hardware, sporting goods, clothing, and pet products serving rural and small-town communities. This dataset supports agricultural product manufacturers evaluating regional retail channels, competitive analysis against Bomgaars and Tractor Supply in northern-tier markets, and consumer brands seeking distribution in rural America. Each record includes the store name, full address, phone number, and GPS coordinates sourced from Runnings' official store locator. Refreshed weekly.
Need just some of them? Ask in your own words.
●Where the rows are
≡Sample Data Preview
| name | address | city | state | zip | phone | geo precision | county | county fips | county note | address quality | country | latitude | longitude | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Putnam | 44 Providence Pike | Putnam | CT | 06260 | (860) 993-1530 | mgr42@runnings.com | source | Northeastern Connecticut Planning Region | 09150 | complete | US | 41.928553 | -71.878916 | |
| Danville | 3363 N. Vermilion St | Danville | IL | 61832 | (217) 920-0040 | mgr111@runnings.com | source | Vermilion County | 17183 | complete | US | 40.1772004 | -87.627121 | |
| Austin | 1400 18th Ave NW | Austin | MN | 55912 | (507) 433-7437 | mgr32@runnings.com | source | Mower County | 27099 | ZIP 55912 spans 2 counties; assigned to the county holding 76% of its land area | complete | US | 43.68734 | -92.991939 |
| Claremont | 403 Washington Street | Claremont | NH | 03743 | (603) 542-1574 | mgr36@runnings.com | source | Sullivan County | 33019 | complete | US | 43.360655 | -72.315564 | |
| Findlay | 1800 Tiffin Avenue | Findlay | OH | 45840 | (567) 332-2888 | mgr107@runnings.com | source | Hancock County | 39063 | complete | US | 41.055049 | -83.613933 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| name | Store name and number | 100% |
| address | Street address | 100% |
| city | City name | 100% |
| state | Two-letter state code | 100% |
| zip | 5-digit ZIP code | 100% |
| country | Country code (US) | 100% |
| phone | Store phone number | 100% |
| 100% | ||
| latitude | GPS latitude coordinate | 100% |
| longitude | GPS longitude coordinate | 100% |
| geo_ | How exact the map point is: the source's own point, the street address, or the ZIP code's centre | 100% |
| county | County the location is in | 100% |
| county_ | Five-digit federal code of that county | 100% |
| county_ | How the county was found, where it was not given by the source | 52% |
| 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
This dataset is compiled from Runnings's own public store locator, the system behind the “find a store” page on their website.
October 11, 2026
File built · Rebuilt weekly on an automatic schedule.
15 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 Runnings Locations and give it this page: it can open https://locationlists.com/find?dataset=runnings-stores 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, 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.
Links an assistant can open, each showing how many rows match, a few preview rows and the price for just that part:
- Only South Dakota, the state with the most: https://locationlists.com/find?dataset=runnings-stores&state=SD
- Within 25 miles of Bismarck, ND, the busiest area: https://locationlists.com/find?dataset=runnings-stores&near=Bismarck+ND&radius=25
- Within a 30-minute drive of Bismarck, ND: https://locationlists.com/find?dataset=runnings-stores&near=Bismarck+ND&drive=30
- Every Farm & Ranch Supply list combined, within 25 miles of Laketon, IN: https://locationlists.com/find?category=farm-ranch-supply&near=Laketon+IN&radius=25
- Each one's nearest Atwoods Locations, in South Dakota, with miles: https://locationlists.com/find?dataset=runnings-stores&state=SD&relate=nearest&k=1&b.dataset=atwoods-stores&b.state=SD
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=runnings-stores - In plain words: "Runnings Locations in South Dakota": https://locationlists.com/find?q=Runnings+Locations+in+South+Dakota
- In plain words: "Runnings Locations within 25 miles of Bismarck, ND": https://locationlists.com/find?q=Runnings+Locations+within+25+miles+of+Bismarck%2C+ND
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 Runnings Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 90 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=runnings-stores. An agent connected to https://locationlists.com/mcp can still search it, read a free sample file of up to 10 rows and buy the whole file itself. How agent purchasing works
?Frequently Asked Questions
What fields are in the Runnings store data CSV?
Each row includes store name, street address, city, state, ZIP code, phone number, GPS latitude/longitude, store page URL, and country code. Standard CSV format ready for import into any tool.
How often is the Runnings location data refreshed?
File built on October 11, 2026. Rebuilt weekly on an automatic schedule. The date on this page is the date of the file you would download.
We manufacture ice fishing and winter sporting goods. Is Runnings a good retail channel for our products?
Runnings' 90 stores are concentrated in exactly the markets where ice fishing and winter sports are part of the culture — Minnesota, South Dakota, Montana, Wisconsin, and northern New York. Their sporting goods departments cater to hunters, anglers, and outdoor enthusiasts in small-town markets that big-box sporting goods chains often don't serve. The dataset gives you every store contact for outreach. This is a high-value regional channel for any winter outdoor brand.
How does Runnings compare to Bomgaars for coverage in the northern Plains states?
Runnings (90 stores) and Bomgaars (188 stores) have significant overlap in the Dakotas and Minnesota, but each also reaches markets the other doesn't. We maintain both datasets and can run an overlap analysis showing exactly which small towns have both chains, which have only one, and where neither has a presence. For a brand trying to maximize rural shelf access in the northern Plains, understanding that overlap is essential to avoiding redundant distribution efforts and finding untapped communities.
We're a work boot brand looking to expand into farm and ranch retail. How do we evaluate Runnings as a potential wholesale partner?
Runnings stores carry a full work clothing and footwear assortment for their rural customer base. At 90 stores concentrated in northern-tier states, it's a focused regional channel rather than a national one. The dataset helps you understand their geographic coverage so you can evaluate logistics feasibility. Our team can combine Runnings with Bomgaars, Atwoods, Murdoch's, and Tractor Supply location data to build a complete picture of the farm-and-ranch retail landscape nationwide, helping you design a phased wholesale expansion across all the relevant chains.
We're a livestock feed company. Does Runnings' store network reach the cattle and dairy communities we need?
Runnings' stores in Minnesota, South Dakota, Montana, and Wisconsin sit in strong cattle and dairy regions. The 90 store locations mapped against USDA cattle inventory data would reveal exactly which agricultural counties have Runnings access. Our consulting team can deliver that analysis — overlaying Runnings locations with livestock density data to score each store's proximity to the ranching and dairy operations you need to reach, and identifying the gaps where complementary distribution is needed.