RH (Restoration Hardware) Gallery
U.S. · 138 locations
RH (NYSE: RH), formerly Restoration Hardware, operates one of the most distinctive physical retail networks in the US — 138 locations spanning RH Galleries (its large-format flagship showrooms), RH Modern, RH Interiors, RH Outlet, and legacy Restoration Hardware stores.
More about this list
Under CEO Gary Friedman's leadership, RH has transformed from a mall-based home goods chain into an experiential luxury brand, with its gallery locations featuring rooftop restaurants, wine bars, and hotel suites alongside furniture. Its $1M+ average selling price per gallery visit and 60%+ gross margin make each location's address an extraordinarily high-value data point for luxury retail real estate analysis and premium brand distribution mapping.
Need just some of them? Ask in your own words.
●Where the rows are
≡Sample Data Preview
| name | address | city | state | zip | phone | url | geo precision | county | county fips | address quality | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Restoration Hardware | 215 Summit Blvd | Vestavia | AL | 35243 | (800) 762-1005 | https://rh.com | source | Jefferson County | 01073 | complete | US | 33.44756 | -86.728824 |
| Restoration Hardware | 3030 Peachtree Rd NE | Atlanta | GA | 30305-2202 | (770) 804-9040 | https://rh.com/store-locations/145 | source | Fulton County | 13121 | complete | US | 33.83805 | -84.381246 |
| Restoration Hardware | 1906 Towne Centre Blvd | Annapolis | MD | 21401-3676 | (410) 266-7901 | https://rh.com/store-locations/135 | source | Anne Arundel County | 24003 | complete | US | 38.98135 | -76.5407 |
| Restoration Hardware | 340 S Rampart Blvd | Las Vegas | NV | 89145-5717 | (775) 464-0770 | https://rh.com/store-locations/157 | source | Clark County | 32003 | complete | US | 36.168605 | -115.286087 |
| Restoration Hardware | 100 Francis St. | Providence | RI | 02903 | (401) 243-0620 | http://www.restorationhardware.com | source | Providence County | 44007 | complete | US | 41.826817 | -71.416634 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| name | Store name and number | 100% |
| address | Street address | 98% |
| 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 | 99% |
| latitude | GPS latitude coordinate | 100% |
| longitude | GPS longitude coordinate | 100% |
| url | Url | 99% |
| 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 public geographic place data covering the chain's store network across the US, deduplicated by 50-meter distance to one record per physical store.
September 14, 2026
File built
14 fields
Columns in the file
Fill measured
On every row of the delivered file
How we build and date every file: methodology.
Location data aggregated from public geographic sources including © Overture Maps Foundation contributors.
Using ChatGPT, Claude or an API?
No setup needed. Ask ChatGPT or Claude your question about the RH (Restoration Hardware) Gallery Locations and give it this page: it can open https://locationlists.com/find?dataset=rh-restoration-hardware-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=rh-restoration-hardware-stores&state=CA
- Within 25 miles of New York, NY, the busiest area: https://locationlists.com/find?dataset=rh-restoration-hardware-stores&near=New+York+NY&radius=25
- Within a 30-minute drive of New York, NY: https://locationlists.com/find?dataset=rh-restoration-hardware-stores&near=New+York+NY&drive=30
- Every Furniture & Mattress Retail list combined, within 25 miles of Ridgefield, NJ: https://locationlists.com/find?category=furniture&near=Ridgefield+NJ&radius=25
- Each one's nearest Raymour & Flanigan Showroom Locations, in California, with miles: https://locationlists.com/find?dataset=rh-restoration-hardware-stores&state=CA&relate=nearest&k=1&b.dataset=raymour-and-flanigan-stores&b.state=CA
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=rh-restoration-hardware-stores - In plain words: "RH (Restoration Hardware) Gallery Locations in California": https://locationlists.com/find?q=RH+(Restoration+Hardware)+Gallery+Locations+in+California
- In plain words: "RH (Restoration Hardware) Gallery Locations within 25 miles of New York, NY": https://locationlists.com/find?q=RH+(Restoration+Hardware)+Gallery+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 RH (Restoration Hardware) Gallery Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 138 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=rh-restoration-hardware-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 include RH's smaller legacy Restoration Hardware stores, or just the new Gallery format?
The 138 records cover all RH-branded physical retail formats: full RH Galleries (the large experiential flagship format), RH Modern showrooms, RH Interiors locations, RH Outlet stores, and remaining legacy Restoration Hardware stores. The name field identifies the format for each record.
RH is known for converting to large-format galleries. How does the dataset reflect that transition?
The 138 records include both the converted gallery-format stores and remaining legacy-format locations, representing the full in-transition footprint. For real estate analysts tracking RH's gallery conversion strategy, the address data can be cross-referenced against market size to understand which markets have received gallery-format investments.
I'm a luxury home goods vendor evaluating RH as a distribution channel. How does this data help?
RH's 138 locations map the geography of ultra-high-net-worth home spending in the US. The brand's $3B+ annual revenue from 138 stores implies average unit volumes far above any furniture competitor — understanding where those stores are concentrated reveals the specific submarkets where RH's customer (HHI $500K+, primary + secondary home owner) is most dense.