Install Data2Sales AI
Faster access, offline browsing, and a one-tap shortcut on your home screen.
This dataset covers 6,013 verified records spread across 254+ districts in Texas. 6,013 records carry a verified phone number and 2,105 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Oldham (983 listings), Limestone (492 listings), Randall (328 listings), Montgomery (246 listings), Deaf Smith (197 listings), Bosque (164 listings), Haskell (140 listings), and Jim Hogg (123 listings).
Additional coverage spans Collingsworth (109), Bell (98), Rockwall (89), Comal (82), Cochran (76), Howard (70), Shelby (66), Anderson (61), Goliad (58), Hale (55), Reagan (52), Webb (49) , plus 234 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Oldham | 983 | 983 | 344 |
| Limestone | 492 | 492 | 172 |
| Randall | 328 | 328 | 115 |
| Montgomery | 246 | 246 | 86 |
| Deaf Smith | 197 | 197 | 69 |
| Bosque | 164 | 164 | 57 |
| Haskell | 140 | 140 | 49 |
| Jim Hogg | 123 | 123 | 43 |
| Collingsworth | 109 | 109 | 38 |
| Bell | 98 | 98 | 34 |
| All districts (254) | 6,013 | 6,013 | 2,105 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Oldham | 983 | 983 | 344 |
| Limestone | 492 | 492 | 172 |
| Randall | 328 | 328 | 115 |
| Montgomery | 246 | 246 | 86 |
| Deaf Smith | 197 | 197 | 69 |
| Bosque | 164 | 164 | 57 |
| Haskell | 140 | 140 | 49 |
| Jim Hogg | 123 | 123 | 43 |
| Collingsworth | 109 | 109 | 38 |
| Bell | 98 | 98 | 34 |
| Rockwall | 89 | 89 | 31 |
| Comal | 82 | 82 | 29 |
| Cochran | 76 | 76 | 27 |
| Howard | 70 | 70 | 25 |
| Shelby | 66 | 66 | 23 |
| Anderson | 61 | 61 | 21 |
| Goliad | 58 | 58 | 20 |
| Hale | 55 | 55 | 19 |
| Reagan | 52 | 52 | 18 |
| Webb | 49 | 49 | 17 |
| Aransas | 47 | 47 | 16 |
| Potter | 45 | 45 | 16 |
| Fayette | 43 | 43 | 15 |
| Rusk | 41 | 41 | 14 |
| Denton | 39 | 39 | 14 |
| Falls | 38 | 38 | 13 |
| Kaufman | 36 | 36 | 13 |
| Val Verde | 35 | 35 | 12 |
| Nolan | 34 | 34 | 12 |
| Erath | 33 | 33 | 12 |
| Culberson | 32 | 32 | 11 |
| Lamb | 31 | 31 | 11 |
| Sabine | 30 | 30 | 11 |
| Hidalgo | 29 | 29 | 10 |
| Bee | 28 | 28 | 10 |
| Young | 27 | 27 | 9 |
| Leon | 27 | 27 | 9 |
| San Jacinto | 26 | 26 | 9 |
| Motley | 25 | 25 | 9 |
| Taylor | 25 | 25 | 9 |
| Lee | 24 | 24 | 8 |
| Swisher | 23 | 23 | 8 |
| Gillespie | 23 | 23 | 8 |
| Palo Pinto | 22 | 22 | 8 |
| Terrell | 22 | 22 | 8 |
| Lynn | 21 | 21 | 7 |
| Jackson | 21 | 21 | 7 |
| Brazos | 20 | 20 | 7 |
| La Salle | 20 | 20 | 7 |
| Childress | 20 | 20 | 7 |
| Tyler | 19 | 19 | 7 |
| Mason | 19 | 19 | 7 |
| Maverick | 19 | 19 | 7 |
| Sterling | 18 | 18 | 6 |
| Jim Wells | 18 | 18 | 6 |
| Menard | 18 | 18 | 6 |
| Walker | 17 | 17 | 6 |
| McMullen | 17 | 17 | 6 |
| Donley | 17 | 17 | 6 |
| Waller | 16 | 16 | 6 |
| Throckmorton | 16 | 16 | 6 |
| Hood | 16 | 16 | 6 |
| Zapata | 16 | 16 | 6 |
| Knox | 15 | 15 | 5 |
| Kinney | 15 | 15 | 5 |
| Glasscock | 15 | 15 | 5 |
| Wood | 15 | 15 | 5 |
| Grayson | 14 | 14 | 5 |
| Lampasas | 14 | 14 | 5 |
| Titus | 14 | 14 | 5 |
| Shackelford | 14 | 14 | 5 |
| Dallam | 14 | 14 | 5 |
| Nacogdoches | 13 | 13 | 5 |
| Blanco | 13 | 13 | 5 |
| Hunt | 13 | 13 | 5 |
| Hardeman | 13 | 13 | 5 |
| Kerr | 13 | 13 | 5 |
| Johnson | 13 | 13 | 5 |
| Matagorda | 12 | 12 | 4 |
| Liberty | 12 | 12 | 4 |
| Roberts | 12 | 12 | 4 |
| Grimes | 12 | 12 | 4 |
| Kleberg | 12 | 12 | 4 |
| Kent | 12 | 12 | 4 |
| Pecos | 12 | 12 | 4 |
| Sutton | 11 | 11 | 4 |
| Morris | 11 | 11 | 4 |
| McLennan | 11 | 11 | 4 |
| Wharton | 11 | 11 | 4 |
| Loving | 11 | 11 | 4 |
| Lubbock | 11 | 11 | 4 |
| Crosby | 11 | 11 | 4 |
| Floyd | 11 | 11 | 4 |
| Crane | 10 | 10 | 4 |
| Hill | 10 | 10 | 4 |
| Montague | 10 | 10 | 4 |
| Hansford | 10 | 10 | 4 |
| Somervell | 10 | 10 | 4 |
| Brown | 10 | 10 | 4 |
| Kendall | 10 | 10 | 4 |
| Hemphill | 10 | 10 | 4 |
| Upshur | 10 | 10 | 4 |
| Clay | 10 | 10 | 4 |
| Coleman | 9 | 9 | 3 |
| Concho | 9 | 9 | 3 |
| Hall | 9 | 9 | 3 |
| Polk | 9 | 9 | 3 |
| Scurry | 9 | 9 | 3 |
| Frio | 9 | 9 | 3 |
| Dimmit | 9 | 9 | 3 |
| Hudspeth | 9 | 9 | 3 |
| Eastland | 9 | 9 | 3 |
| Crockett | 9 | 9 | 3 |
| Harrison | 9 | 9 | 3 |
| Borden | 9 | 9 | 3 |
| Gaines | 8 | 8 | 3 |
| Runnels | 8 | 8 | 3 |
| Armstrong | 8 | 8 | 3 |
| Starr | 8 | 8 | 3 |
| Reeves | 8 | 8 | 3 |
| Hartley | 8 | 8 | 3 |
| Chambers | 8 | 8 | 3 |
| Martin | 8 | 8 | 3 |
| Coke | 8 | 8 | 3 |
| Tom Green | 8 | 8 | 3 |
| Victoria | 8 | 8 | 3 |
| Freestone | 8 | 8 | 3 |
| Callahan | 8 | 8 | 3 |
| Yoakum | 8 | 8 | 3 |
| Cooke | 8 | 8 | 3 |
| Nueces | 8 | 8 | 3 |
| Karnes | 7 | 7 | 2 |
| Llano | 7 | 7 | 2 |
| Upton | 7 | 7 | 2 |
| Bastrop | 7 | 7 | 2 |
| Calhoun | 7 | 7 | 2 |
| Parmer | 7 | 7 | 2 |
| Archer | 7 | 7 | 2 |
| Lamar | 7 | 7 | 2 |
| Gregg | 7 | 7 | 2 |
| Tarrant | 7 | 7 | 2 |
| Parker | 7 | 7 | 2 |
| Navarro | 7 | 7 | 2 |
| Irion | 7 | 7 | 2 |
| Newton | 7 | 7 | 2 |
| Kenedy | 7 | 7 | 2 |
| Bowie | 7 | 7 | 2 |
| Duval | 7 | 7 | 2 |
| Wheeler | 7 | 7 | 2 |
| Ochiltree | 7 | 7 | 2 |
| Kimble | 7 | 7 | 2 |
| Hutchinson | 6 | 6 | 2 |
| Presidio | 6 | 6 | 2 |
| Caldwell | 6 | 6 | 2 |
| Galveston | 6 | 6 | 2 |
| Jasper | 6 | 6 | 2 |
| Delta | 6 | 6 | 2 |
| San Patricio | 6 | 6 | 2 |
| Burnet | 6 | 6 | 2 |
| Henderson | 6 | 6 | 2 |
| Refugio | 6 | 6 | 2 |
| Live Oak | 6 | 6 | 2 |
| Collin | 6 | 6 | 2 |
| Foard | 6 | 6 | 2 |
| Travis | 6 | 6 | 2 |
| McCulloch | 6 | 6 | 2 |
| Mills | 6 | 6 | 2 |
| Dallas | 6 | 6 | 2 |
| Terry | 6 | 6 | 2 |
| Moore | 6 | 6 | 2 |
| Hamilton | 6 | 6 | 2 |
| Lavaca | 6 | 6 | 2 |
| Brooks | 6 | 6 | 2 |
| Harris | 6 | 6 | 2 |
| Camp | 6 | 6 | 2 |
| Orange | 6 | 6 | 2 |
| Williamson | 6 | 6 | 2 |
| Washington | 6 | 6 | 2 |
| Ector | 5 | 5 | 2 |
| Bexar | 5 | 5 | 2 |
| Andrews | 5 | 5 | 2 |
| Rains | 5 | 5 | 2 |
| Ward | 5 | 5 | 2 |
| Brewster | 5 | 5 | 2 |
| Van Zandt | 5 | 5 | 2 |
| Angelina | 5 | 5 | 2 |
| Wilbarger | 5 | 5 | 2 |
| Winkler | 5 | 5 | 2 |
| Marion | 5 | 5 | 2 |
| Dawson | 5 | 5 | 2 |
| Hardin | 5 | 5 | 2 |
| San Saba | 5 | 5 | 2 |
| Uvalde | 5 | 5 | 2 |
| Fisher | 5 | 5 | 2 |
| Bandera | 5 | 5 | 2 |
| Briscoe | 5 | 5 | 2 |
| Cottle | 5 | 5 | 2 |
| Hopkins | 5 | 5 | 2 |
| Medina | 5 | 5 | 2 |
| Bailey | 5 | 5 | 2 |
| Midland | 5 | 5 | 2 |
| Sherman | 5 | 5 | 2 |
| Stephens | 5 | 5 | 2 |
| Ellis | 5 | 5 | 2 |
| El Paso | 5 | 5 | 2 |
| Red River | 5 | 5 | 2 |
| Hays | 5 | 5 | 2 |
| Stonewall | 5 | 5 | 2 |
| King | 5 | 5 | 2 |
| DeWitt | 5 | 5 | 2 |
| Castro | 5 | 5 | 2 |
| Colorado | 5 | 5 | 2 |
| Fort Bend | 5 | 5 | 2 |
| Trinity | 5 | 5 | 2 |
| Panola | 5 | 5 | 2 |
| Wise | 5 | 5 | 2 |
| Jack | 5 | 5 | 2 |
| Austin | 5 | 5 | 2 |
| Garza | 4 | 4 | 1 |
| Zavala | 4 | 4 | 1 |
| Real | 4 | 4 | 1 |
| Cameron | 4 | 4 | 1 |
| Fannin | 4 | 4 | 1 |
| Milam | 4 | 4 | 1 |
| Atascosa | 4 | 4 | 1 |
| San Augustine | 4 | 4 | 1 |
| Brazoria | 4 | 4 | 1 |
| Willacy | 4 | 4 | 1 |
| Hockley | 4 | 4 | 1 |
| Jeff Davis | 4 | 4 | 1 |
| Jones | 4 | 4 | 1 |
| Mitchell | 4 | 4 | 1 |
| Carson | 4 | 4 | 1 |
| Burleson | 4 | 4 | 1 |
| Guadalupe | 4 | 4 | 1 |
| Gray | 4 | 4 | 1 |
| Franklin | 4 | 4 | 1 |
| Dickens | 4 | 4 | 1 |
| Jefferson | 4 | 4 | 1 |
| Madison | 4 | 4 | 1 |
| Robertson | 4 | 4 | 1 |
| Baylor | 4 | 4 | 1 |
| Edwards | 4 | 4 | 1 |
| Cherokee | 4 | 4 | 1 |
| Schleicher | 4 | 4 | 1 |
| Wilson | 4 | 4 | 1 |
| Smith | 4 | 4 | 1 |
| Cass | 4 | 4 | 1 |
| Comanche | 4 | 4 | 1 |
| Coryell | 4 | 4 | 1 |
| Houston | 4 | 4 | 1 |
| Gonzales | 4 | 4 | 1 |
| Lipscomb | 4 | 4 | 1 |
| Wichita | 4 | 4 | 1 |
| All districts (254) | 6,013 | 6,013 | 2,105 |
The Single Brand Retail stores database includes 6,013+ verified Single Brand Retail stores in Texas, United States with name, address, city, state, phone, hours, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
Angelina (US) bought 19 hours ago · Alfonso (US) bought 19 hours ago · Clementine (GB) bought 20 hours ago · Tiffany (US) bought 23 hours ago · Johan (AU) bought 1 day ago
Single Brand Retail currently operates 6,013+ stores in Texas, United States (as of 2026). Buy access on this page and you get the master CSV with every store's verified contact + geolocation row.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Single Brand Retail stores CSV covering all of Texas, United States within seconds. Every row is human-checked.
Per-row columns include Single Brand Retail store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and the surrounding context fields (website, opening hours, Google rating, review count). Delivered as a CRM-ready UTF-8 CSV.
Triple-source verification: the Single Brand Retail store locator, Google Maps data and licensed B2B directories all have to agree before a record makes the CSV. Dead phones and 'permanently closed' markers prune the list every month.
Yes. The Single Brand Retail stores dataset is rebuilt on a rolling 30-day cycle — new openings come in through franchise expansion feeds and registrar filings, closures are detected from negative Google signals (phone disconnected, 'permanently closed' markers) and dropped before export.
Yes — the dataset is licensed for commercial use after purchase. Common use cases include geo-targeted advertising against Single Brand Retail catchments, competitor benchmarking, site-selection analytics, supplier outreach and franchise planning. Personal consumer data is not included, only publicly listed business contact information.
You receive a UTF-8 encoded CSV file. It opens cleanly in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request after purchase.
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time, so you always receive the latest verified Single Brand Retail stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Data2Sales AI's World Wide Data database for Texas, United States consolidates 6,013+ verified records into a single, verified contact list. The engine crosses multiple sources — official websites, business registries, social profiles, licensed directories — and validates each record monthly, so your sales pipeline starts with accurate data instead of a spreadsheet of guesses.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Aug 16, 2026 05:45 AM
Published:
May 11, 2026 04:16 AM
Rows (Regular):
3,007
Rows (Extended):
6,013
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
