Church's Texas Chicken
U.S. · 771 locations
Church's Texas Chicken operates 771 locations across the United States.
More about this list
This dataset provides the complete list of Church's Texas Chicken store locations with verified addresses, phone numbers, and GPS coordinates sourced from official Church's Texas Chicken systems.
The file has all 771 locations across 29 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 | url | geo precision | county | county fips | county note | address quality | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CHURCH’S TEXAS CHICKEN® 1518 E. 3 Notch Street | 1518 E. 3 Notch Street | Andalusia | AL | 36420 | https://locations.churchs.com/al/andalusia/1518-e.-3-notch-street/delivery | address | Covington County | 01039 | complete | US | 31.316006 | -86.463297 | |
| CHURCH’S TEXAS CHICKEN® 3780 Minnesota Avenue N.E. | 3780 Minnesota Avenue N.E. | Washington | DC | 20019 | https://locations.churchs.com/dc/washington/3780-minnesota-avenue-n.e./delivery | address | District of Columbia | 11001 | complete | US | 38.891987 | -76.951619 | |
| CHURCH’S TEXAS CHICKEN® 1275 MacArthur Drive | 1275 MacArthur Drive | Alexandria | LA | 71301 | https://locations.churchs.com/la/alexandria/1275-macarthur-drive/delivery | address | Rapides Parish | 22079 | complete | US | 31.287349 | -92.474830 | |
| CHURCH’S TEXAS CHICKEN® 1701 Mt. Ephraim Avenue | 1701 Mt. Ephraim Avenue | Camden | NJ | 08104 | https://locations.churchs.com/nj/camden/1701-mt.-ephraim-avenue/family-meals | address | Camden County | 34007 | complete | US | 39.923801 | -75.104885 | |
| CHURCH’S TEXAS CHICKEN® 492 Meeting Street | 492 Meeting Street | Charleston | SC | 29403 | https://locations.churchs.com/sc/charleston/492-meeting-street/delivery | address | Charleston County | 45019 | complete | US | 32.795928 | -79.940284 |
{}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% |
| 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% |
| county_ | How the county was found, where it was not given by the source | 3% |
| 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 Church's Texas Chicken'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 Church's Texas Chicken Locations and give it this page: it can open https://locationlists.com/find?dataset=churchs-texas-chicken-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:
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=churchs-texas-chicken-stores
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 Church's Texas Chicken Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 771 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=churchs-texas-chicken-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 makes Church's Texas Chicken's distribution model unique compared to its peers?
Church's Texas Chicken operates 771 store locations across the US. For a brand-by-brand competitive breakdown — overlap analysis, territory density, white space mapping — our consulting team can build a custom analysis. Contact us for details.
I'm building a B2B prospect list targeting Church's Texas Chicken stores. How is this data structured for CRM import?
Each row includes name, full address, phone, GPS coordinates, and website URL where available. Ready for Salesforce, HubSpot, or Excel. Our territory optimization service can take this further and assign balanced territories across all 771 locations.
How does Church's Texas Chicken's geographic concentration affect market entry for a new complementary product?
The latitude/longitude data lets you see exactly where Church's Texas Chicken is dense vs thin. Our site-selection service maps this against demographic overlays, competitor footprints, and drive-time radii to recommend market entry sequencing.