Rejuvenation Store
U.S. · 15 locations
Rejuvenation is a Portland, Oregon-based specialty retailer of vintage-inspired lighting, hardware, and home furnishings, acquired by Williams-Sonoma, Inc. in 2011.
More about this list
Its 15 US stores are deliberately small-format and concentrated in design-forward markets including Portland, Seattle, San Francisco, Los Angeles, Chicago, and New York — a boutique footprint that positions Rejuvenation as a design trade and serious renovator destination rather than a mass-market home brand. The brand is notable for manufacturing reproduction period lighting (Arts & Crafts, Mid-Century Modern, Victorian) and architectural hardware that appeals to historic preservation and high-end renovation projects.
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●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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Rejuvenation - University Town C | 4575 La Jolla Village Dr Ste 1130 | San Diego | CA | 92122 | (858) 352-0426 | 5883 | STANDARD | ca-san-diego-university-town-c | source | San Diego County | 06073 | complete | US | 32.872379 | -117.208932 |
| Rejuvenation - Lincoln Park | 1000 W NORTH AVENUE SUITE A10 | Chicago | IL | 60642 | (312) 475-1237 | 5876 | STANDARD | il-chicago-lincoln-park | source | Cook County | 17031 | complete | US | 41.911407 | -87.654216 |
| Rejuvenation - New York | 3 W 20TH St Rejuvenation #5877 | New York | NY | 10011 | (212) 488-3460 | 5877 | STANDARD | ny-new-york | source | New York County | 36061 | complete | US | 40.740081 | -73.991583 |
| Rejuvenation - Hill Center | 4015 Hillsboro Pike Ste. 101 | Nashville | TN | 37215 | (615) 432-4598 | 5884 | STANDARD | tn-nashville-hill-center | source | Davidson County | 47037 | complete | US | 36.103669 | -86.817246 |
| Rejuvenation - Trolley Square | 602 E 500 S. #B101 | Salt Lake City | UT | 84102 | (801) 935-8222 | 5885 | STANDARD | ut-salt-lake-city-trolley-square | source | Salt Lake County | 49035 | complete | US | 40.756918 | -111.872317 |
{}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 | 93% |
| county_ | Five-digit federal code of that county | 93% |
| 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 Rejuvenation'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 Rejuvenation Store Locations and give it this page: it can open https://locationlists.com/find?dataset=rejuvenation-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=rejuvenation-stores&state=CA
- Within 25 miles of Los Angeles, CA, the busiest area: https://locationlists.com/find?dataset=rejuvenation-stores&near=Los+Angeles+CA&radius=25
- Within a 30-minute drive of Los Angeles, CA: https://locationlists.com/find?dataset=rejuvenation-stores&near=Los+Angeles+CA&drive=30
- Every Furniture & Mattress Retail list combined, within 25 miles of San Francisco, CA: https://locationlists.com/find?category=furniture&near=San+Francisco+CA&radius=25
- Each one's nearest Star Furniture Showroom Locations, in California, with miles: https://locationlists.com/find?dataset=rejuvenation-stores&state=CA&relate=nearest&k=1&b.dataset=star-furniture-stores&b.state=CA
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=rejuvenation-stores - In plain words: "Rejuvenation Store Locations in California": https://locationlists.com/find?q=Rejuvenation+Store+Locations+in+California
- In plain words: "Rejuvenation Store Locations within 25 miles of Los Angeles, CA": https://locationlists.com/find?q=Rejuvenation+Store+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 Rejuvenation Store Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 15 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=rejuvenation-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
Rejuvenation only has 15 stores. Is this dataset still useful for market analysis?
Yes — the value of small-footprint specialty retailer data is often in what it signals rather than its raw size. Rejuvenation's 15 locations are a precise map of the US's highest-concentration design trade and serious renovator markets. For a lighting manufacturer or architectural hardware brand, these 15 markets represent disproportionate demand for premium, period-correct products.
We're a historic preservation organization and want to map design resources for renovation projects. How does Rejuvenation's footprint help?
Rejuvenation's 15 stores cluster in cities with the highest concentration of pre-1940 housing stock and active restoration activity: Portland, Seattle, San Francisco, Chicago, and New York. The store location data can be overlaid with historic district maps to identify markets where Rejuvenation's specialty inventory is closest to active preservation projects.