Costco Warehouse
U.S. · 548 locations
Costco Wholesale operates 548 warehouse club locations across the United States, serving more than 70 million paid household members. This dataset contains the complete list of US Costco warehouses with verified street addresses, phone numbers, and GPS coordinates.
More about this list
Commercial real estate analysts use it to benchmark warehouse club co-tenancy patterns, CPG brands use it to evaluate Costco as a distribution channel, and last-mile delivery services use it to map affluent household catchment areas.
The file has all 548 locations across 44 states in one download. Building the same list by searching one area at a time tends to miss places, and a missed place looks like a gap in coverage that is not really there.
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 | county note | zip4 | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Costco | 3650 Galleria Cir | Hoover | AL | 35244 | (205) 909-1039 | http://www.costco.com | source | Jefferson County | 01073 | complete | ZIP 35244 spans 2 counties; assigned to the county holding 46% of its land area | 2346 | US | 33.378755 | -86.812307 |
| Costco | 741 Orange Ave | Altamonte Springs | FL | 32714 | (407) 786-7802 | http://www.costco.com/ | source | Seminole County | 12117 | complete | 3031 | US | 28.661004 | -81.417715 | |
| Costco | 120 Stockwell Dr | Avon | MA | 02322 | (508) 232-4000 | http://www.costco.com/ | source | Norfolk County | 25021 | complete | 1149 | US | 42.136839 | -71.066099 | |
| Costco | 311 Daniel Webster Hwy | Nashua | NH | 03060 | (603) 888-3640 | http://www.costco.com/ | source | Hillsborough County | 33011 | complete | 5702 | US | 42.702218 | -71.442847 | |
| Costco | 3050 Ashley Town Center Dr | Charleston | SC | 29414 | (843) 460-2003 | http://www.costco.com/ | source | Charleston County | 45019 | complete | ZIP 29414 spans 2 counties; assigned to the county holding 82% of its land area | 5664 | US | 32.795435 | -80.035645 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| name | Store name and number | 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% |
| url | Url | 98% |
| 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% |
| county_ | How the county was found, where it was not given by the source | 18% |
| zip4 | Zip4 | 95% |
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 Costco's store network across the US, deduplicated by 50-meter distance to one record per physical store.
September 20, 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.
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 Costco Warehouse Locations and give it this page: it can open https://locationlists.com/find?dataset=costco-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=costco-stores&state=CA
- Within 25 miles of Los Angeles, CA, the busiest area: https://locationlists.com/find?dataset=costco-stores&near=Los+Angeles+CA&radius=25
- Within a 30-minute drive of Los Angeles, CA: https://locationlists.com/find?dataset=costco-stores&near=Los+Angeles+CA&drive=30
- Every Mass Merchant & Discount list combined, within 25 miles of Commerce, CA: https://locationlists.com/find?category=mass-merchant-discount&near=Commerce+CA&radius=25
- Each one's nearest Bealls Locations, in California, with miles: https://locationlists.com/find?dataset=costco-stores&state=CA&relate=nearest&k=1&b.dataset=bealls-stores&b.state=CA
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=costco-stores - In plain words: "Costco Warehouse Locations in California": https://locationlists.com/find?q=Costco+Warehouse+Locations+in+California
- In plain words: "Costco Warehouse Locations within 25 miles of Los Angeles, CA": https://locationlists.com/find?q=Costco+Warehouse+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 Costco Warehouse Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 548 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=costco-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
How many Costco warehouses are in this dataset?
548 deduplicated warehouse locations across 44 US states. Every record has verified GPS coordinates and street address.
What data fields are included?
Store name, full street address, city, state, ZIP code, phone number, latitude/longitude GPS coordinates, and website URL. Standard CSV format ready for import.
How is this data compiled?
Costco's own store locator is aggressively rate-limited and protected by bot defenses. We aggregate from multiple public POI sources and apply a 50-meter spheroid-distance dedup to produce one record per physical warehouse. Cross-checked against published Costco store counts.
How often is the Costco dataset updated?
File built on September 20, 2026. It is not on an automatic refresh schedule, so check the build date above before you buy.
We sell premium consumer goods. How useful is a Costco dataset for us?
Costco members skew high-income and make large basket purchases — it is one of the strongest premium-CPG distribution channels in the US. Mapping the 549 warehouses by state and metro area shows you the highest-value retail touchpoints for premium brands, and the GPS coordinates let you run catchment analysis against census income data.