Ashley HomeStore
U.S. · 763 locations
Ashley is the largest furniture manufacturer and retailer in the world by revenue, with its US retail footprint of 763 company-operated and licensed locations spanning Ashley Store, Ashley HomeStore, Ashley Outlet, and Ashley Luxe formats.
More about this list
Unlike pure-play furniture retailers, Ashley operates both a manufacturing operation (headquartered in Arcadia, Wisconsin) and an owned retail network — a vertical model that gives it structural cost advantages over peers like Rooms To Go or Raymour & Flanigan. This dataset captures the full licensed and company-owned store network, making it essential for commercial real estate analysts benchmarking furniture retail density, CPG vendors mapping home goods distribution, and competitors analyzing Ashley's geographic saturation ahead of expansion decisions.
The file has all 763 locations across 48 states in one download. Building the same list by searching one area at a time tends to miss places, and a missed place looks like a gap in coverage that is not really there.
Need just some of them? Ask in your own words.
●Where the rows are
≡Sample Data Preview
| name | address | city | state | zip | phone | store code | store type | url | geo precision | county | county fips | address quality | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ashley Store Anchorage, AK | 3146 Seward Hwy | Anchorage | AK | 99503 | (907) 929-8660 | 3146-seward-hwy | Store | https://stores.ashleyfurniture.com/store/us/alaska/anchorage/3146-seward-hwy/ | source | Anchorage Municipality | 02020 | complete | US | 61.191915 | -149.868969 |
| Ashley Store Honolulu, HI | 702 S Beretania St | Honolulu | HI | 96813 | (808) 543-5350 | 702-s-beretania-st | Store | https://stores.ashleyfurniture.com/store/us/hawaii/honolulu/702-s-beretania-st/ | source | Honolulu County | 15003 | complete | US | 21.305198 | -157.852133 |
| Ashley Store Escanaba, MI | 2222 N Lincoln Rd | Escanaba | MI | 49829 | (906) 786-7775 | 2222-n-lincoln-rd | Store | https://stores.ashleyfurniture.com/store/us/michigan/escanaba/2222-n-lincoln-rd/ | source | Delta County | 26041 | complete | US | 45.77443 | -87.081861 |
| Ashley Store Eatontown, NJ | 175 Highway 35 | Eatontown | NJ | 07724 | (732) 676-1038 | 175-highway-35 | Store | https://stores.ashleyfurniture.com/store/us/new-jersey/eatontown/175-highway-35/ | source | Monmouth County | 34025 | complete | US | 40.292252 | -74.051401 |
| Ashley Store Sioux Falls, SD | 801 S Highline Pl | Sioux Falls | SD | 57110 | (605) 332-5246 | 801-s-highline-pl | Store | https://stores.ashleyfurniture.com/store/us/south-dakota/sioux-falls/801-s-highline-pl/ | source | Minnehaha County | 46099 | complete | US | 43.541175 | -96.655464 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| name | Store name and number | 100% |
| store | Store code | 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% |
| latitude | GPS latitude coordinate | 100% |
| longitude | GPS longitude coordinate | 100% |
| store | Store type | 100% |
| url | Url | 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% |
| 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 Ashley HomeStore's own public store locator, the system behind the “find a store” page on their website.
September 14, 2026
File built
16 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 Ashley HomeStore Locations and give it this page: it can open https://locationlists.com/find?dataset=ashley-homestore-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 Texas, the state with the most: https://locationlists.com/find?dataset=ashley-homestore-stores&state=TX
- Within 25 miles of New York, NY, the busiest area: https://locationlists.com/find?dataset=ashley-homestore-stores&near=New+York+NY&radius=25
- Within a 30-minute drive of New York, NY: https://locationlists.com/find?dataset=ashley-homestore-stores&near=New+York+NY&drive=30
- Every Furniture & Mattress Retail list combined, within 25 miles of Edgewater, NJ: https://locationlists.com/find?category=furniture&near=Edgewater+NJ&radius=25
- Each one's nearest Sleep Number Store Locations, in Texas, with miles: https://locationlists.com/find?dataset=ashley-homestore-stores&state=TX&relate=nearest&k=1&b.dataset=sleep-number-stores&b.state=TX
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=ashley-homestore-stores - In plain words: "Ashley HomeStore Locations in Texas": https://locationlists.com/find?q=Ashley+HomeStore+Locations+in+Texas
- In plain words: "Ashley HomeStore Locations within 25 miles of New York, NY": https://locationlists.com/find?q=Ashley+HomeStore+Locations+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 Ashley HomeStore Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 763 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=ashley-homestore-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
How does Ashley's 763-store footprint compare to other furniture retailers in your catalog?
Ashley is the largest furniture retailer in our catalog by store count — more than five times larger than Rooms To Go (148) or Raymour & Flanigan (149). Its geographic spread is also the broadest, with meaningful presence in 48 states compared to peers that concentrate in specific regions. LocationLists carries all major furniture retailer datasets for direct footprint comparison.
I'm in commercial real estate and want to analyze furniture retail density by market. How does this dataset help?
The 763 Ashley records with latitude and longitude coordinates let you compute stores-per-capita by metro, map drive-time coverage polygons, and identify markets where furniture retail square footage is under- or over-supplied. Combined with our Rooms To Go, Bob's Discount, or Raymour & Flanigan datasets, you can build a multi-brand furniture retail density map for any market in the country.
Does this include Ashley Outlet and Ashley Luxe locations, or just standard stores?
Yes — the dataset includes all Ashley-branded retail formats: Ashley Store, Ashley HomeStore (the legacy flagship format), Ashley Outlet, and Ashley Luxe locations. The name field in each record indicates the specific format, allowing you to filter by store type for analysis.