Dollar General Store
U.S. · 21,900 locations
Dollar General is America's largest small-format discount retailer by store count, operating approximately 21,900 stores across 51 states. Founded in 1939, Dollar General focuses on underserved rural and suburban communities, with stores averaging just 7,400 square feet.
More about this list
They are the largest retailer in America by store count and continue to open roughly 1,000 new locations per year. This dataset contains 21,900 verified Dollar General locations with full address, phone, and GPS coordinates. It is used by CPG brands evaluating discount retail distribution, commercial real estate analysts studying rural retail penetration, last-mile logistics companies planning delivery networks, and competitive retailers analyzing market overlap.
The file has all 21,900 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 | place id | geo precision | county | county fips | county note | address quality | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dollar Zone | 5437 E Northern Lights Blvd | Anchorage | AK | 99508 | (907) 339-0396 | ChIJZ-rQZe-WyFYRvhSd69l4v2A | source | Anchorage Municipality | 02020 | complete | US | 61.1960417 | -149.7808722 | |
| Dollarama | Hartsland Market Square | 160 Kortright Rd W | Guelph | (888) 365-4266 | ChIJO0bBGWCDK4gRnFOBZfqKw8c | source | no_house_number | US | 43.51421140000001 | -80.2188923 | ||||
| Family Dollar | 211 Presque Isle Rd | Ashland | ME | 04732 | (207) 544-7813 | ChIJ82RGuQlgu0wRFE511RRpRSE | source | Aroostook County | 23003 | ZIP 04732 spans 2 counties; assigned to the county holding 92% of its land area | complete | US | 46.626497699999994 | -68.3914867 |
| Dollar General | 222 Bridgeton Pike | Nj-45 | NJ | Township | (856) 539-4470 | ChIJAWRz7mfaxokR0KyfY6CC5RE | source | Gloucester County | 34015 | complete | US | 39.789920699999996 | -75.1774133 | |
| Dollar General | 600 5th Ave NW | Aberdeen | SD | 57401 | (605) 503-6651 | ChIJGwxTiqJF0lIRW4fqXJntLWw | source | Brown County | 46013 | complete | US | 45.471191100000006 | -98.49833819999999 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| name | Store name and number | 100% |
| place | Place id | 100% |
| address | Street address | 100% |
| city | City name | 100% |
| state | Two-letter state code | 100% |
| zip | 5-digit ZIP code | 97% |
| country | Country code (US) | 100% |
| phone | Store phone number | 99% |
| latitude | GPS latitude coordinate | 100% |
| longitude | GPS longitude coordinate | 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 | 96% |
| county_ | Five-digit federal code of that county | 96% |
| county_ | How the county was found, where it was not given by the source | 41% |
| 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 Dollar General's own public store locator, the system behind the “find a store” page on their website.
September 20, 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 Dollar General Store Locations and give it this page: it can open https://locationlists.com/find?dataset=dollar-general-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 Georgia, the state with the most: https://locationlists.com/find?dataset=dollar-general-stores&state=GA
- Within 25 miles of Atlanta, GA, the busiest area: https://locationlists.com/find?dataset=dollar-general-stores&near=Atlanta+GA&radius=25
- Within a 30-minute drive of Atlanta, GA: https://locationlists.com/find?dataset=dollar-general-stores&near=Atlanta+GA&drive=30
- Every Mass Merchant & Discount list combined, within 25 miles of Redstone Arsenal, AL: https://locationlists.com/find?category=mass-merchant-discount&near=Redstone+Arsenal+AL&radius=25
- Each one's nearest Dollar Tree Locations, in Georgia, with miles: https://locationlists.com/find?dataset=dollar-general-stores&state=GA&relate=nearest&k=1&b.dataset=dollar-tree-stores&b.state=GA
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=dollar-general-stores - In plain words: "Dollar General Store Locations in Georgia": https://locationlists.com/find?q=Dollar+General+Store+Locations+in+Georgia
- In plain words: "Dollar General Store Locations within 25 miles of Atlanta, GA": https://locationlists.com/find?q=Dollar+General+Store+Locations+within+25+miles+of+Atlanta%2C+GA
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 Dollar General Store Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
Every step below has a no-connector equivalent: https://locationlists.com/find?dataset=dollar-general-stores with the same filters as query parameters.
- Connect your agent to
https://locationlists.com/mcp(no key, no signup). - Call
count_locationswithdataset: "dollar-general-stores"and any filter — it is free, and returns how many rows match and what they cost. - Fetch the rows with
query_locations: $0.64 per 100 rows from this dataset. Above 10,950 rows, buying the whole file is cheaper.
Paid in USDC over x402 — the agent gets an HTTP 402 with the exact price, signs, and retries. Money moves only after rows are delivered, so a failed or empty query costs nothing. Setup for Claude, Cursor and VS Code
?Frequently Asked Questions
What fields are in the Dollar General location data CSV?
Each row includes store name, Google Place ID, street address, city, state, ZIP code, phone number, GPS latitude/longitude, and country code. Standard CSV format ready for import into any CRM, GIS tool, or spreadsheet.
How often is the Dollar General location data 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're a CPG brand evaluating Dollar General as a distribution channel. What can we learn from this data?
With 21,900 stores mapped, you can analyze Dollar General's density by state, metro area, and rural vs urban markets. Overlay against your existing retail distribution to identify how many incremental consumer touchpoints Dollar General adds. The GPS coordinates enable trade area analysis showing which communities rely on Dollar General as a primary retail destination — these are often food desert or retail desert markets where your brand would have outsized impact.
We're a last-mile delivery startup. How dense is Dollar General's rural coverage?
Dollar General is the single best proxy for rural America's retail footprint. Their 21,900 stores reach communities that Walmart, Target, and Amazon struggle to serve. Mapping these locations against census data reveals the rural population clusters your delivery network needs to reach. Many Dollar General stores serve as de facto town centers in communities under 20,000 people.
How does Dollar General compare to Dollar Tree in terms of coverage?
Dollar General (21,900 stores) has significantly more locations than Dollar Tree (~16,000), and crucially, their store placement strategies differ. Dollar General targets rural and exurban communities while Dollar Tree focuses more on suburban strip malls. We are adding Dollar Tree data soon — combining both datasets will give you the complete dollar store landscape for competitive analysis.