West Elm Store
U.S. · 112 locations

West Elm is the fastest-growing brand within the Williams-Sonoma, Inc. portfolio, with 112 US stores positioned at the intersection of modern design, fair-trade sourcing, and millennial homeowner demographics.

More about this list

Launched in 2002 and headquartered in Brooklyn, New York, West Elm targets a younger, urban-skewing customer than sister brand Pottery Barn — a positioning reflected in its concentration in walkable urban neighborhoods, transit-adjacent locations, and college-town lifestyle centers. The brand has also expanded aggressively into the hotel sector (West Elm Hotels), making its retail locations a lagging indicator of a broader hospitality real estate strategy.

112Locations
37States
16Data Fields
September 14, 2026File built

Need just some of them? Ask in your own words.

●Where the rows are

Map of where the West Elm Store Locations are
One dot for every ZIP code with at least one location. Ask above for any part of it: a state, a city, a distance.

≡Sample Data Preview

west-elm-stores.csvscroll →UTF-8
nameaddresscitystatezipphonestore codestore typestore identifiergeo precisioncountycounty fipsaddress qualitycountrylatitudelongitude
West Elm - The Summit320 Summit Blvd Suite 200VestaviaAL35243(205) 968-76516043STANDARDal-vestavia-the-summitsourceJefferson County01073completeUS33.450892-86.730764
West Elm - Ponce City Market675 Ponce de Leon Ave NE NW 127AtlantaGA30308(404) 872-95746105STANDARDga-atlanta-ponce-city-marketsourceFulton County13121completeUS33.772588-84.365562
West Elm - OT WE Wrentham Prem1 Outlet Blvd Suite 100WrenthamMA02093(774) 847-32096316OUTLETma-wrentham-ot-we-wrentham-premsourceNorfolk County25021completeUS42.037964-71.353743
West Elm - PRINCETON MARKET FAIR3535 Us Highway 1 Space 366PrincetonNJ08540(609) 799-8010895STANDARDnj-princeton-market-fairsourceMercer County34021completeUS40.36533-74.657417
West Elm - Wayland Ave179 Wayland Ave West Elm #6141ProvidenceRI02906(401) 274-19016141STANDARDri-providence-wayland-avesourceProvidence County44007completeUS41.829117-71.387975
Five sample rows; the file you buy has all 16 columns.

{}What's in each row

FieldWhat it isRows filled
nameStore name and number100%
storeCodeStore code100%
addressStreet address100%
cityCity name100%
stateTwo-letter state code100%
zip5-digit ZIP code100%
countryCountry code (US)100%
phoneStore phone number100%
latitudeGPS latitude coordinate100%
longitudeGPS longitude coordinate100%
storeTypeStore type100%
storeIdentifierStore identifier100%
geo_precisionHow exact the map point is: the source's own point, the street address, or the ZIP code's centre100%
countyCounty the location is in96%
county_fipsFive-digit federal code of that county96%
address_qualityWhether the street address is complete, missing a house number, or a PO box100%

Rows filled is measured on every row of the delivered file.

✓Where this data comes from

This dataset is compiled from West Elm'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 West Elm Store Locations and give it this page: it can open https://locationlists.com/find?dataset=west-elm-stores with the filters you need and show you the count and price.

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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:

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Read https://locationlists.com/skill.md and follow the instructions to connect LocationLists. Then show me the West Elm Store Locations list.

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For developers

At 112 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=west-elm-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

West Elm targets a younger demographic than Pottery Barn. Does the geographic footprint reflect that?

Yes — West Elm's 112 stores skew toward urban cores and walkable lifestyle districts in markets like New York, Los Angeles, San Francisco, Chicago, and Austin, while Pottery Barn's 180 stores are more suburban mall-anchored. Mapping both datasets together shows how Williams-Sonoma, Inc. has segmented its physical retail strategy by demographic and geography.

I'm a commercial real estate analyst tracking modern furniture retail expansion. How does West Elm compare to CB2 in urban positioning?

West Elm (112 stores) and CB2 (28 stores) are the two primary modern-design furniture brands with meaningful urban concentration in the US. West Elm is significantly larger and more national, while CB2 remains concentrated in major gateway cities. Combining both datasets creates a comprehensive map of modern-design furniture retail in US urban markets.

Does this dataset include West Elm hotel locations?

No — this dataset covers West Elm retail store locations only. West Elm Hotels are operated under a separate hospitality venture and are not included in the 112 records.

↔Other furniture & mattress retail lists