Five Below Store
U.S. · 2,044 locations
Five Below is one of the fastest-growing US value retailers, selling trend-right merchandise priced primarily under $5 across categories like style, room, sports, tech, and candy.
More about this list
This dataset captures 2,044 verified Five Below store locations across 48 US states with full address, phone, GPS coordinates, and the official location page URL. Commercial real estate analysts use it to track Five Below's rapid expansion into new metros, retail strategists benchmark value-segment co-tenancy patterns, food and beverage suppliers prospect Five Below as a distribution channel, and competitive analysts compare Five Below alongside Dollar General, Dollar Tree, and other discount and value retailers. Updated weekly.
The file has all 2,044 locations across 48 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 | county note | address quality | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Five Below | 100 S Colonial Dr. | Alabaster | AL | 35007 | (205) 564-1095 | https://locations.fivebelow.com/al/alabaster/100-s-colonial-dr. | source | Shelby County | 01117 | complete | US | 33.22669761757409 | -86.80477209397785 | |
| Five Below | 3384 Cobb Pkwy NW | Acworth | GA | 30101 | (770) 759-0857 | https://locations.fivebelow.com/ga/acworth/3384-cobb-pkwy-nw | source | Cobb County | 13067 | ZIP 30101 spans 4 counties; assigned to the county holding 68% of its land area | complete | US | 34.03819809436873 | -84.68564526317732 |
| Five Below | 80 Steven King Dr. | Augusta | ME | 04330 | (207) 621-0078 | https://locations.fivebelow.com/me/augusta/80-steven-king-dr. | source | Kennebec County | 23011 | complete | US | 44.348535130722524 | -69.78480200000001 | |
| Five Below | 130 Black Horse Pike | Audubon | NJ | 08106 | (856) 310-0145 | https://locations.fivebelow.com/nj/audubon/130-black-horse-pike | source | Camden County | 34007 | complete | US | 39.89096504737239 | -75.08695259435596 | |
| Five Below | 930 22nd Ave S | Brookings | SD | 57006 | https://locations.fivebelow.com/sd/brookings/930-22nd-ave-s | source | Brookings County | 46011 | ZIP 57006 spans 2 counties; assigned to the county holding 89% of its land area | complete | US | 44.29522009999999 | -96.7694391 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| name | Store name | 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 | Official Five Below store page URL | 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 | 24% |
| 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 Five Below'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.
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 Five Below Store Locations and give it this page: it can open https://locationlists.com/find?dataset=five-below-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 Texas, the state with the most: https://locationlists.com/find?dataset=five-below-stores&state=TX
- Within 25 miles of New York, NY, the busiest area: https://locationlists.com/find?dataset=five-below-stores&near=New+York+NY&radius=25
- Within a 30-minute drive of New York, NY: https://locationlists.com/find?dataset=five-below-stores&near=New+York+NY&drive=30
- Every Mass Merchant & Discount list combined, within 25 miles of New York, NY: https://locationlists.com/find?category=mass-merchant-discount&near=New+York+NY&radius=25
- Each one's nearest Target Store Locations, in Texas, with miles: https://locationlists.com/find?dataset=five-below-stores&state=TX&relate=nearest&k=1&b.dataset=target-stores&b.state=TX
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=five-below-stores - In plain words: "Five Below Store Locations in Texas": https://locationlists.com/find?q=Five+Below+Store+Locations+in+Texas
- In plain words: "Five Below Store Locations within 25 miles of New York, NY": https://locationlists.com/find?q=Five+Below+Store+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 Five Below Store Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 2,044 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=five-below-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 Five Below locations are in this dataset?
This dataset contains 2,044 verified Five Below store locations across 48 US states. Updated weekly from the official Five Below store locator.
What fields are included in the Five Below CSV?
Each row includes store name, full street address, city, state, ZIP code, phone number, latitude/longitude GPS coordinates, country code, and the official Five Below store page URL. Standard CSV format ready for CRM, GIS, or Excel import.
We're a commercial real estate firm tracking value retail expansion. How does Five Below data help?
Five Below has been one of the fastest-expanding US retail chains over the past decade and is a strong indicator of high-traffic value retail corridors. This dataset lets you map every store, analyze co-tenancy patterns with other value retailers, and identify metros where Five Below density signals strong consumer demand for the segment. The GPS coordinates support drive-time and trade area analysis in any GIS platform.
How does Five Below compare to Dollar General and Dollar Tree?
Five Below (1,956), Dollar General (21,900), and Dollar Tree are three of the largest US value retail chains, each targeting slightly different price points and customer segments. We maintain location datasets for all three and can produce competitive overlap analyses showing exactly which trade areas have multiple value retail options versus markets dominated by a single chain.
How often is the Five Below 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.