CB2 Store
U.S. · 28 locations
CB2 is the modern-design sister brand of Crate & Barrel, operating 28 US stores concentrated in major urban markets including New York, Los Angeles, Chicago, San Francisco, Boston, Miami, and Washington DC.
More about this list
Launched in 2000 to capture millennial and Gen Z urban consumers priced out of Crate & Barrel but seeking design-forward alternatives to IKEA, CB2's 28 stores represent the highest-concentration urban modern furniture retail presence in the country. Its tight geographic footprint makes this dataset particularly valuable for urban retail real estate analysis and CPG brands targeting design-conscious young urban professionals.
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 | seo name | geo precision | county | county fips | address quality | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CB2 - CB2 Scottsdale | 15059 N Scottsdale Road | Scottsdale | AZ | 85254 | 71 | Showroom | scottsdale-quarter | zip_centroid | Maricopa County | 04013 | complete | USA | 33.614603 | -111.949671 |
| CB2 - CB2 Miami Beach | 1661 Jefferson Avenue Lincoln Road Mall | Miami Beach | FL | 33139 | 56 | Showroom | south-beach | address | Miami-Dade County | 12086 | complete | USA | 25.791129 | -80.137635 |
| CB2 - CB2 Boston | 1401 Boylston Street | Boston | MA | 02215 | 67 | Showroom | fenway | address | Suffolk County | 25025 | complete | USA | 42.343670 | -71.101363 |
| CB2 - CB2 Eastside | 979 3rd Ave (58th and 3rd) | New York | NY | 10022 | 65 | Showroom | eastside | address | New York County | 36061 | complete | USA | 40.760951 | -73.966940 |
| CB2 - CB2 Dallas | 4510 McKinney Ave | Dallas | TX | 75205 | 62 | Showroom | knox | address | Dallas County | 48113 | complete | USA | 32.821209 | -96.788240 |
{}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 | 93% |
| longitude | GPS longitude coordinate | 93% |
| store | Store type | 100% |
| seo | Seo name | 100% |
| geo_ | How exact the map point is: the source's own point, the street address, or the ZIP code's centre | 93% |
| 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 CB2'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 CB2 Store Locations and give it this page: it can open https://locationlists.com/find?dataset=cb2-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:
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=cb2-stores
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 CB2 Store Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 28 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=cb2-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
With only 28 stores, what makes the CB2 dataset valuable?
CB2's 28 stores are deliberately placed in the US's highest-density, highest-income urban cores — each location represents a market with disproportionate demand for modern design. For urban retail analysts, landlords targeting design-forward tenants, or brands selling to urban millennials, CB2's footprint is a better signal than a broader chain's suburban coverage.
How does CB2 compare to West Elm in urban modern furniture positioning?
Both CB2 and West Elm target design-forward urban consumers, but West Elm (112 stores) has a much broader geographic footprint including secondary markets and lifestyle centers, while CB2's 28 stores stay concentrated in gateway cities. CB2 tends toward a slightly higher price point and more edgy design aesthetic. Both datasets are available in our catalog.