Living Spaces Showroom
U.S. · 38 locations
Living Spaces is one of the fastest-growing furniture retailers in the Western United States, operating 38 large-format showrooms concentrated in California, Nevada, Arizona, Colorado, Texas, and Utah.
More about this list
Founded in 2003 and headquartered in La Mirada, California, Living Spaces competes directly with Ashley and Rooms To Go for the value-to-mid-market furniture consumer in Sun Belt growth markets — and has been notable for its aggressive store format (typically 100,000+ square feet) and same-day delivery positioning. Its rapid expansion from California-only to a regional Sun Belt chain makes it a bellwether for high-growth Western furniture retail markets.
Need just some of them? Ask in your own words.
●Where the rows are
≡Sample Data Preview
| name | address | city | state | zip | store code | store type | url | geo precision | county | county fips | address quality | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Living Spaces - Scottsdale | 16275 N Scottsdale Rd | Scottsdale | AZ | 85260 | 10 | Showroom | https://www.livingspaces.com/stores/scottsdale | source | Maricopa County | 04013 | complete | US | 33.6348 | -111.9196 |
| Living Spaces - La Mirada | 14501 Artesia Blvd | La Mirada | CA | 90638 | 01 | Showroom | https://www.livingspaces.com/stores/la-mirada | source | Los Angeles County | 06037 | complete | US | 33.87477 | -118.02192 |
| Living Spaces - Lenexa | 12381 W 95th St | Lenexa | KS | 66215 | 33 | Showroom | https://www.livingspaces.com/stores/lenexa | source | Johnson County | 20091 | complete | US | 38.9545617 | -94.7317788 |
| Living Spaces - Summerlin | 700 S. Rampart Blvd | Las Vegas | NV | 89145 | 18 | Showroom | https://www.livingspaces.com/stores/summerlin | source | Clark County | 32003 | complete | US | 36.16 | -115.29 |
| Living Spaces - San Antonio | 4239 N Loop 1604 W | San Antonio | TX | 78249 | 21 | Showroom | https://www.livingspaces.com/stores/san-antonio | source | Bexar County | 48029 | complete | US | 29.59981 | -98.56793 |
{}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% |
| 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 Living Spaces's own public store locator, the system behind the “find a store” page on their website.
September 14, 2026
File built
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 Living Spaces Showroom Locations and give it this page: it can open https://locationlists.com/find?dataset=living-spaces-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 California, the state with the most: https://locationlists.com/find?dataset=living-spaces-stores&state=CA
- Within 25 miles of Los Angeles, CA, the busiest area: https://locationlists.com/find?dataset=living-spaces-stores&near=Los+Angeles+CA&radius=25
- Within a 30-minute drive of Los Angeles, CA: https://locationlists.com/find?dataset=living-spaces-stores&near=Los+Angeles+CA&drive=30
- Every Furniture & Mattress Retail list combined, within 25 miles of Huntington Park, CA: https://locationlists.com/find?category=furniture&near=Huntington+Park+CA&radius=25
- Each one's nearest Saatva Viewing Room Locations, in California, with miles: https://locationlists.com/find?dataset=living-spaces-stores&state=CA&relate=nearest&k=1&b.dataset=saatva-stores&b.state=CA
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=living-spaces-stores - In plain words: "Living Spaces Showroom Locations in California": https://locationlists.com/find?q=Living+Spaces+Showroom+Locations+in+California
- In plain words: "Living Spaces Showroom Locations within 25 miles of Los Angeles, CA": https://locationlists.com/find?q=Living+Spaces+Showroom+Locations+within+25+miles+of+Los+Angeles%2C+CA
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 Living Spaces Showroom Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 38 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=living-spaces-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
Living Spaces seems concentrated in California. Does the dataset reflect expansion into other states?
Yes — Living Spaces has expanded significantly beyond California into Nevada, Arizona, Colorado, Texas, and Utah. The 38 records reflect this multi-state Sun Belt footprint, with California still representing the largest concentration but newer markets accounting for a growing share.
I'm a furniture industry analyst tracking big-box format retail expansion in the West. How does Living Spaces compare to Ashley in California?
In California specifically, Living Spaces and Ashley both operate large-format showrooms but at different price points and with different ownership models — Living Spaces is privately held and regional, Ashley is vertically integrated and national. Overlaying both datasets in California shows market-by-market competitive density and reveals where each brand has chosen to cluster or avoid overlap.