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This dataset covers 9,330 verified records spread across 254+ districts in Texas. 9,330 records carry a verified phone number and 3,266 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Kent (1,525 listings), Schleicher (763 listings), Franklin (508 listings), Swisher (381 listings), Zavala (305 listings), Fannin (254 listings), Jackson (218 listings), and Terrell (191 listings).
Additional coverage spans Cherokee (169), Hidalgo (153), Young (139), Comanche (127), Lipscomb (117), Gonzales (109), Wilbarger (102), Carson (95), Kerr (90), Hunt (85), Wood (80), Fort Bend (76) , plus 234 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kent | 1,525 | 1,525 | 534 |
| Schleicher | 763 | 763 | 267 |
| Franklin | 508 | 508 | 178 |
| Swisher | 381 | 381 | 133 |
| Zavala | 305 | 305 | 107 |
| Fannin | 254 | 254 | 89 |
| Jackson | 218 | 218 | 76 |
| Terrell | 191 | 191 | 67 |
| Cherokee | 169 | 169 | 59 |
| Hidalgo | 153 | 153 | 54 |
| All districts (254) | 9,330 | 9,330 | 3,266 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kent | 1,525 | 1,525 | 534 |
| Schleicher | 763 | 763 | 267 |
| Franklin | 508 | 508 | 178 |
| Swisher | 381 | 381 | 133 |
| Zavala | 305 | 305 | 107 |
| Fannin | 254 | 254 | 89 |
| Jackson | 218 | 218 | 76 |
| Terrell | 191 | 191 | 67 |
| Cherokee | 169 | 169 | 59 |
| Hidalgo | 153 | 153 | 54 |
| Young | 139 | 139 | 49 |
| Comanche | 127 | 127 | 44 |
| Lipscomb | 117 | 117 | 41 |
| Gonzales | 109 | 109 | 38 |
| Wilbarger | 102 | 102 | 36 |
| Carson | 95 | 95 | 33 |
| Kerr | 90 | 90 | 32 |
| Hunt | 85 | 85 | 30 |
| Wood | 80 | 80 | 28 |
| Fort Bend | 76 | 76 | 27 |
| Baylor | 73 | 73 | 26 |
| Wilson | 69 | 69 | 24 |
| Atascosa | 66 | 66 | 23 |
| Hood | 64 | 64 | 22 |
| Brazoria | 61 | 61 | 21 |
| Tyler | 59 | 59 | 21 |
| Jeff Davis | 56 | 56 | 20 |
| Mason | 54 | 54 | 19 |
| Red River | 53 | 53 | 19 |
| Stonewall | 51 | 51 | 18 |
| Knox | 49 | 49 | 17 |
| Burleson | 48 | 48 | 17 |
| Mitchell | 46 | 46 | 16 |
| Stephens | 45 | 45 | 16 |
| Comal | 44 | 44 | 15 |
| Dawson | 42 | 42 | 15 |
| Cochran | 41 | 41 | 14 |
| Marion | 40 | 40 | 14 |
| Guadalupe | 39 | 39 | 14 |
| Hardin | 38 | 38 | 13 |
| Fisher | 37 | 37 | 13 |
| Uvalde | 36 | 36 | 13 |
| Colorado | 35 | 35 | 12 |
| Randall | 35 | 35 | 12 |
| Medina | 34 | 34 | 12 |
| Haskell | 33 | 33 | 12 |
| Bailey | 32 | 32 | 11 |
| Cottle | 32 | 32 | 11 |
| Frio | 31 | 31 | 11 |
| Fayette | 31 | 31 | 11 |
| Clay | 30 | 30 | 11 |
| Aransas | 29 | 29 | 10 |
| Falls | 29 | 29 | 10 |
| Polk | 28 | 28 | 10 |
| Hall | 28 | 28 | 10 |
| Nolan | 27 | 27 | 9 |
| DeWitt | 27 | 27 | 9 |
| Erath | 26 | 26 | 9 |
| Kaufman | 26 | 26 | 9 |
| San Saba | 25 | 25 | 9 |
| Castro | 25 | 25 | 9 |
| Jefferson | 25 | 25 | 9 |
| Robertson | 24 | 24 | 8 |
| Hill | 24 | 24 | 8 |
| Panola | 23 | 23 | 8 |
| Austin | 23 | 23 | 8 |
| Coleman | 23 | 23 | 8 |
| Burnet | 22 | 22 | 8 |
| Washington | 22 | 22 | 8 |
| Collin | 22 | 22 | 8 |
| Rusk | 21 | 21 | 7 |
| Kendall | 21 | 21 | 7 |
| Webb | 21 | 21 | 7 |
| Williamson | 21 | 21 | 7 |
| Travis | 20 | 20 | 7 |
| Lamb | 20 | 20 | 7 |
| Dallas | 20 | 20 | 7 |
| Brown | 20 | 20 | 7 |
| Hale | 19 | 19 | 7 |
| Angelina | 19 | 19 | 7 |
| Tom Green | 19 | 19 | 7 |
| Brewster | 19 | 19 | 7 |
| Freestone | 18 | 18 | 6 |
| Brooks | 18 | 18 | 6 |
| Ochiltree | 18 | 18 | 6 |
| Lavaca | 18 | 18 | 6 |
| Live Oak | 18 | 18 | 6 |
| Harris | 17 | 17 | 6 |
| Orange | 17 | 17 | 6 |
| Galveston | 17 | 17 | 6 |
| Runnels | 17 | 17 | 6 |
| Starr | 17 | 17 | 6 |
| Hamilton | 16 | 16 | 6 |
| Bell | 16 | 16 | 6 |
| Grayson | 16 | 16 | 6 |
| Reeves | 16 | 16 | 6 |
| Titus | 16 | 16 | 6 |
| Martin | 16 | 16 | 6 |
| Yoakum | 15 | 15 | 5 |
| Presidio | 15 | 15 | 5 |
| Henderson | 15 | 15 | 5 |
| Caldwell | 15 | 15 | 5 |
| Nueces | 15 | 15 | 5 |
| Karnes | 15 | 15 | 5 |
| McCulloch | 15 | 15 | 5 |
| Hutchinson | 14 | 14 | 5 |
| Archer | 14 | 14 | 5 |
| Parmer | 14 | 14 | 5 |
| Kleberg | 14 | 14 | 5 |
| Pecos | 14 | 14 | 5 |
| Lynn | 14 | 14 | 5 |
| Parker | 14 | 14 | 5 |
| Victoria | 13 | 13 | 5 |
| Van Zandt | 13 | 13 | 5 |
| Lubbock | 13 | 13 | 5 |
| Chambers | 13 | 13 | 5 |
| Newton | 13 | 13 | 5 |
| Wharton | 13 | 13 | 5 |
| Kenedy | 13 | 13 | 5 |
| Floyd | 13 | 13 | 5 |
| Crane | 13 | 13 | 5 |
| Leon | 13 | 13 | 5 |
| Kimble | 12 | 12 | 4 |
| Callahan | 12 | 12 | 4 |
| Collingsworth | 12 | 12 | 4 |
| Roberts | 12 | 12 | 4 |
| Liberty | 12 | 12 | 4 |
| Throckmorton | 12 | 12 | 4 |
| Johnson | 12 | 12 | 4 |
| Jasper | 12 | 12 | 4 |
| Mills | 12 | 12 | 4 |
| Hudspeth | 12 | 12 | 4 |
| Eastland | 11 | 11 | 4 |
| Terry | 11 | 11 | 4 |
| Crockett | 11 | 11 | 4 |
| Moore | 11 | 11 | 4 |
| Jack | 11 | 11 | 4 |
| Wise | 11 | 11 | 4 |
| Upshur | 11 | 11 | 4 |
| Refugio | 11 | 11 | 4 |
| Harrison | 11 | 11 | 4 |
| King | 11 | 11 | 4 |
| Foard | 11 | 11 | 4 |
| Concho | 11 | 11 | 4 |
| Glasscock | 11 | 11 | 4 |
| Hays | 10 | 10 | 4 |
| Ector | 10 | 10 | 4 |
| Bexar | 10 | 10 | 4 |
| Montague | 10 | 10 | 4 |
| Andrews | 10 | 10 | 4 |
| Hansford | 10 | 10 | 4 |
| Rains | 10 | 10 | 4 |
| Dimmit | 10 | 10 | 4 |
| Scurry | 10 | 10 | 4 |
| San Augustine | 10 | 10 | 4 |
| Hemphill | 10 | 10 | 4 |
| Borden | 10 | 10 | 4 |
| Gaines | 10 | 10 | 4 |
| Matagorda | 10 | 10 | 4 |
| Shackelford | 10 | 10 | 4 |
| Jim Wells | 10 | 10 | 4 |
| Cass | 9 | 9 | 3 |
| Cooke | 9 | 9 | 3 |
| Bastrop | 9 | 9 | 3 |
| Zapata | 9 | 9 | 3 |
| Calhoun | 9 | 9 | 3 |
| Llano | 9 | 9 | 3 |
| Upton | 9 | 9 | 3 |
| Hardeman | 9 | 9 | 3 |
| Kinney | 9 | 9 | 3 |
| Hartley | 9 | 9 | 3 |
| Gray | 9 | 9 | 3 |
| Somervell | 9 | 9 | 3 |
| McLennan | 9 | 9 | 3 |
| Dallam | 9 | 9 | 3 |
| Blanco | 9 | 9 | 3 |
| Wheeler | 9 | 9 | 3 |
| Armstrong | 9 | 9 | 3 |
| Delta | 9 | 9 | 3 |
| Grimes | 9 | 9 | 3 |
| Tarrant | 8 | 8 | 3 |
| Real | 8 | 8 | 3 |
| Lamar | 8 | 8 | 3 |
| Sutton | 8 | 8 | 3 |
| Gregg | 8 | 8 | 3 |
| Loving | 8 | 8 | 3 |
| Morris | 8 | 8 | 3 |
| Irion | 8 | 8 | 3 |
| Lampasas | 8 | 8 | 3 |
| Navarro | 8 | 8 | 3 |
| Bowie | 8 | 8 | 3 |
| Duval | 8 | 8 | 3 |
| Nacogdoches | 8 | 8 | 3 |
| Crosby | 8 | 8 | 3 |
| Sabine | 8 | 8 | 3 |
| Willacy | 8 | 8 | 3 |
| Maverick | 8 | 8 | 3 |
| Motley | 8 | 8 | 3 |
| Jones | 8 | 8 | 3 |
| Taylor | 8 | 8 | 3 |
| Sterling | 8 | 8 | 3 |
| Hockley | 8 | 8 | 3 |
| McMullen | 8 | 8 | 3 |
| Limestone | 8 | 8 | 3 |
| San Jacinto | 7 | 7 | 2 |
| Milam | 7 | 7 | 2 |
| Brazos | 7 | 7 | 2 |
| Cameron | 7 | 7 | 2 |
| Coryell | 7 | 7 | 2 |
| Wichita | 7 | 7 | 2 |
| Val Verde | 7 | 7 | 2 |
| Culberson | 7 | 7 | 2 |
| Houston | 7 | 7 | 2 |
| Walker | 7 | 7 | 2 |
| Madison | 7 | 7 | 2 |
| Menard | 7 | 7 | 2 |
| Edwards | 7 | 7 | 2 |
| Palo Pinto | 7 | 7 | 2 |
| Donley | 7 | 7 | 2 |
| Dickens | 7 | 7 | 2 |
| La Salle | 7 | 7 | 2 |
| Waller | 7 | 7 | 2 |
| Coke | 7 | 7 | 2 |
| Smith | 7 | 7 | 2 |
| Bandera | 7 | 7 | 2 |
| Oldham | 7 | 7 | 2 |
| Gillespie | 7 | 7 | 2 |
| San Patricio | 7 | 7 | 2 |
| Anderson | 7 | 7 | 2 |
| Bosque | 7 | 7 | 2 |
| Midland | 7 | 7 | 2 |
| Hopkins | 7 | 7 | 2 |
| Bee | 7 | 7 | 2 |
| Briscoe | 7 | 7 | 2 |
| Ward | 7 | 7 | 2 |
| Lee | 6 | 6 | 2 |
| Shelby | 6 | 6 | 2 |
| Howard | 6 | 6 | 2 |
| Camp | 6 | 6 | 2 |
| Winkler | 6 | 6 | 2 |
| Trinity | 6 | 6 | 2 |
| Deaf Smith | 6 | 6 | 2 |
| Reagan | 6 | 6 | 2 |
| Goliad | 6 | 6 | 2 |
| Garza | 6 | 6 | 2 |
| Jim Hogg | 6 | 6 | 2 |
| Montgomery | 6 | 6 | 2 |
| Potter | 6 | 6 | 2 |
| Rockwall | 6 | 6 | 2 |
| El Paso | 6 | 6 | 2 |
| Childress | 6 | 6 | 2 |
| Ellis | 6 | 6 | 2 |
| Denton | 6 | 6 | 2 |
| Sherman | 6 | 6 | 2 |
| All districts (254) | 9,330 | 9,330 | 3,266 |
The Convenience stores database includes 9,330+ verified Convenience 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.
Counting only operational sites, the Convenience footprint in Texas, United States sits at about 9,330+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Convenience stores CSV covering all of Texas, United States within seconds. Every row is human-checked.
Every record in the Convenience stores dataset includes: Convenience store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
Triple-source verification: the Convenience 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 Convenience 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 Convenience 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 Convenience stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
The World Wide Data Database for Texas, United States is a 9,330+ verified records directory of world wide data businesses — aggregated through the Data2Sales AI engine, cross-referenced across public business registries, official company websites, licensed directory partners, and social platforms, then re-verified monthly so every record in the export is deliverable on day one.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 04:16 AM
Rows (Regular):
4,199
Rows (Extended):
9,330
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
