Pottery Barn Store
U.S. · 180 locations
Pottery Barn is the flagship home furnishings retail brand of Williams-Sonoma, Inc. (NYSE: WSM), with 180 US store and outlet locations that sit at the intersection of aspirational home décor and accessible luxury pricing.
More about this list
As a brand within Williams-Sonoma's portfolio — alongside West Elm, Pottery Barn Kids, PB Teen, and Williams-Sonoma — Pottery Barn benefits from shared supply chain, real estate, and marketing infrastructure. Its stores are concentrated in high-traffic mall and lifestyle center locations in affluent suburban markets, making this dataset valuable for retail co-tenancy analysis, CPG home goods distribution mapping, and real estate benchmarking in the $150K+ household income demographic.
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 | store identifier | geo precision | county | county fips | address quality | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Pottery Barn - Legacy Village | 9 Du Rhu Dt ste 385 Pottery Barn #6163 | Mobile | AL | 36608 | (251) 304-8984 | 6163 | STANDARD | al-mobile-legacy-village | source | Mobile County | 01097 | complete | US | 30.689421 | -88.13142 |
| Pottery Barn - Drayton Street | 214 Drayton Street Pottery Barn #6279 | Savannah | GA | 31401 | (912) 238-9574 | 6279 | STANDARD | ga-savannah-drayton-street | source | Chatham County | 13051 | complete | US | 32.075929 | -81.091577 |
| Pottery Barn - OT PB Wrentham | 1048 SOUTH STREET SUITE 10 | Wrentham | MA | 02093 | (774) 210-5002 | 6359 | OUTLET | ma-wrentham-ot-pb-wrentham | source | Norfolk County | 25021 | complete | US | 42.0374 | -71.347368 |
| Pottery Barn - Tuscan Village | 2 South Village Dr Suite 120 | Salem | NH | 03079 | (351) 277-6062 | 6313 | STANDARD | nh-salem-tuscan-village | source | Rockingham County | 33015 | complete | US | 42.768824 | -71.224453 |
| Pottery Barn - Shoppes at Brinton Lake | 941 Baltimore Pike Space D-300 | Glen Mills | PA | 19342 | (484) 840-1701 | 538 | STANDARD | pa-glen-mills-shoppes-at-brinton-lake | source | Delaware County | 42045 | complete | US | 39.885802 | -75.533302 |
{}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% |
| store | Store identifier | 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 | 97% |
| county_ | Five-digit federal code of that county | 97% |
| 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 Pottery Barn'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 Pottery Barn Store Locations and give it this page: it can open https://locationlists.com/find?dataset=pottery-barn-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=pottery-barn-stores&state=CA
- Within 25 miles of New York, NY, the busiest area: https://locationlists.com/find?dataset=pottery-barn-stores&near=New+York+NY&radius=25
- Within a 30-minute drive of New York, NY: https://locationlists.com/find?dataset=pottery-barn-stores&near=New+York+NY&drive=30
- Every Furniture & Mattress Retail list combined, within 25 miles of Placentia, CA: https://locationlists.com/find?category=furniture&near=Placentia+CA&radius=25
- Each one's nearest Williams-Sonoma Store Locations, in California, with miles: https://locationlists.com/find?dataset=pottery-barn-stores&state=CA&relate=nearest&k=1&b.dataset=williams-sonoma-stores&b.state=CA
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=pottery-barn-stores - In plain words: "Pottery Barn Store Locations in California": https://locationlists.com/find?q=Pottery+Barn+Store+Locations+in+California
- In plain words: "Pottery Barn Store Locations within 25 miles of New York, NY": https://locationlists.com/find?q=Pottery+Barn+Store+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 Pottery Barn Store Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 180 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=pottery-barn-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
Does this dataset cover Pottery Barn Kids and PB Teen, or just the core Pottery Barn brand?
This dataset covers Pottery Barn standard stores and Pottery Barn outlet locations only. Pottery Barn Kids and PB Teen locations are separate brands within the Williams-Sonoma portfolio and are not included here. LocationLists carries Williams-Sonoma and West Elm as separate datasets as well.
I'm in retail real estate and want to understand Pottery Barn's co-tenancy patterns. How is the footprint distributed?
Pottery Barn's 180 stores are heavily concentrated in lifestyle centers and upscale malls in markets like California, New York, Texas, and Florida. The brand tends to co-locate near other aspirational home brands (Restoration Hardware, West Elm) and specialty food retailers. Combining this dataset with RH and West Elm records from our catalog creates a complete aspirational home retail map.
We sell premium home textiles and want to map distribution relative to Pottery Barn's retail footprint. How does this dataset help?
Pottery Barn's 180 stores cluster in the same high-income ZIP codes that drive demand for premium home textiles. Mapping the store coordinates against Census income data reveals the specific suburban markets where Pottery Barn's customer — $150K+ HHI, design-conscious homeowner — is most concentrated, giving you a geographic targeting framework for wholesale distribution or digital advertising.