Smoothie King
U.S. · 1,274 locations
Smoothie King operates a nearly 100% franchised system of 1,274 locations, heavily concentrated in the U.S. South and Southeast — a geographic skew rooted in its 1973 founding in Kenner, Louisiana and amplified by the 2012 acquisition by South Korean conglomerate SK Group, which injected expansion capital while also seeding a significant international footprint (the dataset includes stores in markets like Trinidad).
More about this list
Unlike its chief rival Tropical Smoothie Cafe, which has overtaken it in domestic unit count, Smoothie King indexes heavily toward strip-center and kiosk formats near fitness centers rather than traditional inline QSR pads, making its location footprint a distinctive signal of health-conscious trade areas. This dataset of 1,274 geocoded locations is essential for franchise development consultants benchmarking smoothie-category whitespace, commercial real estate brokers analyzing co-tenancy patterns with gyms and supplement retailers, and CPG brand managers at companies like Orgain or Vital Proteins seeking to identify high-density wellness retail corridors.
The file has all 1,274 locations across 39 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 | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Smoothie King - 1673 | 1260 US Hwy 72 E. Suite i | Athens | AL | 35611 | (256) 206-8226 | https://locations.smoothieking.com/ll/us/al/athens/1290-us-hwy-72e-suite-1/ | source | Limestone County | 01083 | complete | US | 34.78427 | -86.94663 |
| Smoothie King - 2274 | 3309 E SR-436 STE 1007 | Apopka | FL | 32703 | (407) 951-5090 | https://locations.smoothieking.com/ll/us/fl/apopka/3309-e-sr-436-ste-1007/ | source | Seminole County | 12117 | complete | US | 28.66999 | -81.44926 |
| Smoothie King - 2291 | 1605 Main Street | Leicester | MA | 01524 | (508) 886-3810 | https://locations.smoothieking.com/ll/us/ma/leicester/1605-main-street/ | source | Worcester County | 25027 | complete | US | 42.247 | -71.93786 |
| Smoothie King - 2282 | 495 Amherst Street Unit O | Nashua | NH | 03063 | (603) 718-8802 | https://locations.smoothieking.com/ll/us/nh/nashua/495-amherst-st/ | source | Hillsborough County | 33011 | complete | US | 42.79326 | -71.52246 |
| Smoothie King - 2132 | 3434 Clemson Blvd | Anderson | SC | 29621 | (864) 642-9065 | https://locations.smoothieking.com/ll/us/sc/anderson/3434-clemson-blvd/ | source | Anderson County | 45007 | complete | US | 34.549 | -82.67293 |
{}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 | 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% |
| 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 Smoothie King's own public store locator, the system behind the “find a store” page on their website.
September 14, 2026
File built
14 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 Smoothie King Locations and give it this page: it can open https://locationlists.com/find?dataset=smoothie-king-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=smoothie-king-stores&state=TX
- Within 25 miles of Dallas, TX, the busiest area: https://locationlists.com/find?dataset=smoothie-king-stores&near=Dallas+TX&radius=25
- Within a 30-minute drive of Dallas, TX: https://locationlists.com/find?dataset=smoothie-king-stores&near=Dallas+TX&drive=30
- Every Quick Service & Fast Casual list combined, within 25 miles of Houston, TX: https://locationlists.com/find?category=quick-service-restaurant&near=Houston+TX&radius=25
- Each one's nearest Dutch Bros Coffee Shop Locations, in Texas, with miles: https://locationlists.com/find?dataset=smoothie-king-stores&state=TX&relate=nearest&k=1&b.dataset=dutch-bros-coffee-locations&b.state=TX
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=smoothie-king-stores - In plain words: "Smoothie King Locations in Texas": https://locationlists.com/find?q=Smoothie+King+Locations+in+Texas
- In plain words: "Smoothie King Locations within 25 miles of Dallas, TX": https://locationlists.com/find?q=Smoothie+King+Locations+within+25+miles+of+Dallas%2C+TX
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 Smoothie King Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 1,274 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=smoothie-king-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 does Smoothie King's footprint compare to Tropical Smoothie Cafe and Jamba, and can I benchmark them here?
Smoothie King's 1,274 units trail Tropical Smoothie Cafe's ~1,274+ domestic locations but dwarf the ~500 remaining Jamba units after GoTo Foods slowed that brand's expansion. LocationLists carries datasets for competing QSR and specialty retail brands, and we can run a paid overlap analysis showing co-located trade areas, exclusive territories, and true whitespace across all three brands.
I'm a franchise development director evaluating which DMAs still have room for new Smoothie King agreements. Does this data help with whitespace mapping?
Yes — by plotting all 1,274 locations against DMA population and gym density, you can quickly isolate metros where Smoothie King is under-penetrated relative to its own averages. The dataset includes full latitude/longitude pairs for spatial analysis. If you need a turnkey whitespace report layered with demographic and competitor data, LocationLists offers that as a custom engagement.
The sample data shows a Trinidad location. What share of the 1,274 records are outside the continental U.S.?
A small percentage of records are international — primarily in South Korea's base market (operated through SK Group affiliates) and Caribbean markets like Trinidad. The country field lets you filter to U.S.-only records instantly. If you need a purely domestic extract or want international locations broken out separately, we can prepare a cleaned subset.
I sell commercial fitness equipment and want to prospect strip centers that co-tenant with Smoothie King. Is the address data precise enough for that?
Each record includes a street address, city, state, ZIP, and geocoordinates accurate to five decimal places — more than sufficient to match against commercial real-estate databases like CoStar or Placer.ai foot-traffic feeds. Smoothie King's deliberate co-location strategy near gyms means this dataset effectively doubles as a proxy list of fitness-adjacent retail centers.
How does Smoothie King's nearly 100% franchise model affect the way I should interpret this location data versus a company-owned chain like Starbucks?
Because virtually every Smoothie King is independently owned, individual locations may vary in hours, menu execution, and longevity more than a corporate-operated system. For analysts diligencing a multi-unit franchisee portfolio or mapping operator consolidation, cross-referencing store numbers (included in the name field) against FDD Item 20 schedules can reveal which franchisees control clusters — a critical input for M&A or supplier negotiations.
Can I combine this dataset with other QSR or health-retail brands in your catalog for a broader competitive landscape study?
Absolutely. Brands like CVS Pharmacy (which stocks competing ready-to-drink smoothie SKUs) and Target Store (which carries smoothie-adjacent brands in its wellness aisles) are already in our catalog with geocoded records. We can deliver a merged, de-duplicated multi-brand file or run a custom proximity analysis showing how Smoothie King's footprint overlaps with these retail channels within configurable drive-time radii.