Target Store
U.S. · 2,034 locations
Target Corporation operates over 2,034 stores across all 50 US states, making it one of America's largest general merchandise retailers. This dataset provides the complete list of Target store locations including standard stores, SuperTarget locations, and small-format stores.
More about this list
It is widely used by real estate analysts studying retail co-tenancy, consumer brands evaluating retail distribution, logistics companies planning delivery routes, and market researchers analyzing Target's geographic strategy. Each record includes the store name and number, full address, phone number, and precise GPS coordinates sourced from Target's official store locator API. Updated weekly.
The file has all 2,034 locations across 51 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 | store id | store type | geo precision | county | county fips | county note | address quality | zip4 | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Anchorage NE | 1200 N Muldoon Rd | Anchorage | AK | 99504 | (907) 269-2100 | 2371 | General Merch | source | Anchorage Municipality | 02020 | complete | 6103 | US | 61.226817 | -149.745678 | |
| Acworth | 3378 Cobb Pkwy NW | Acworth | GA | 30101 | (678) 202-0996 | 2091 | SuperTarget | source | Cobb County | 13067 | ZIP 30101 spans 4 counties; assigned to the county holding 68% of its land area | complete | 8304 | US | 34.039709 | -84.683783 |
| Aberdeen | 1025 Middleton Rd | Aberdeen | MD | 21001 | (410) 297-8710 | 1043 | General Merch | source | Harford County | 24025 | complete | 2263 | US | 39.521077 | -76.17799 | |
| Bedford | 220 S River Rd | Bedford | NH | 03110 | (603) 263-0061 | 2009 | General Merch | source | Hillsborough County | 33011 | complete | 6819 | US | 42.941002 | -71.473513 | |
| Aiken | 2545 Whiskey Rd | Aiken | SC | 29803 | (803) 644-2721 | 1310 | General Merch | source | Aiken County | 45003 | complete | 8521 | US | 33.504129 | -81.711132 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| name | Store name and number | 100% |
| store | Store id | 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% |
| 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% |
| county_ | How the county was found, where it was not given by the source | 20% |
| address_ | Whether the street address is complete, missing a house number, or a PO box | 100% |
| zip4 | Zip4 | 99% |
Rows filled is measured on every row of the delivered file.
✓Where this data comes from
This dataset is compiled from Target's own public store locator, the system behind the “find a store” page on their website.
October 11, 2026
File built · Rebuilt weekly on an automatic schedule.
17 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 Target Store Locations and give it this page: it can open https://locationlists.com/find?dataset=target-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=target-stores&state=CA
- Within 25 miles of Los Angeles, CA, the busiest area: https://locationlists.com/find?dataset=target-stores&near=Los+Angeles+CA&radius=25
- Within a 30-minute drive of Los Angeles, CA: https://locationlists.com/find?dataset=target-stores&near=Los+Angeles+CA&drive=30
- Every Mass Merchant & Discount list combined, within 25 miles of South Pasadena, CA: https://locationlists.com/find?category=mass-merchant-discount&near=South+Pasadena+CA&radius=25
- Each one's nearest Five Below Store Locations, in California, with miles: https://locationlists.com/find?dataset=target-stores&state=CA&relate=nearest&k=1&b.dataset=five-below-stores&b.state=CA
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=target-stores - In plain words: "Target Store Locations in California": https://locationlists.com/find?q=Target+Store+Locations+in+California
- In plain words: "Target Store Locations within 25 miles of Los Angeles, CA": https://locationlists.com/find?q=Target+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 Target Store Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 2,034 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=target-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
What fields are in the Target store locations CSV?
Each row includes store name and number, full street address, city, state, ZIP code, phone number, GPS latitude/longitude, store page URL, and country code. Standard CSV format for immediate import into any tool.
How often is the Target location data updated?
File built on October 11, 2026. Rebuilt weekly on an automatic schedule. The date on this page is the date of the file you would download.
We're a CPG brand evaluating Target as a retail channel. How does this data help with distribution planning?
This dataset maps all 2,034 Target locations with precise coordinates, making it ideal for distribution network modeling. You can identify which of your existing warehouse or fulfillment locations are within reach of Target stores, optimize delivery routes, and analyze where Target's footprint aligns with your target demographics. For brands evaluating retail channel strategy, we also offer territory optimization consulting to help you design field sales coverage around Target and competing retail footprints.
We're a DTC brand looking to go wholesale with Target. Can this data help us pitch by region?
Absolutely. Mapping the 2,034 stores lets you tailor your pitch by showing Target's category buyers which regions have the strongest alignment between their stores and your existing customer base. If you have customer ZIP codes, we can run an overlap analysis showing exactly how many of your DTC customers live within a 10-minute drive of a Target — that's a powerful data point for a retail buyer meeting.
How does Target's store footprint compare to Walmart for site selection analysis?
Target's 2,034 stores represent a curated, suburban-focused footprint versus Walmart's much larger network. Real estate analysts often use Target locations as an anchor signal for middle-to-upper-income suburban retail corridors. We can combine Target data with other retail datasets to build a co-tenancy analysis showing which retailers cluster near Target stores — essential intelligence for anyone selecting a new retail or restaurant site.