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This dataset covers 10,022 verified records spread across 254+ districts in Texas. 10,022 records carry a verified phone number and 3,508 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Stonewall (1,639 listings), Jim Hogg (819 listings), Donley (546 listings), Red River (410 listings), Walker (328 listings), Menard (273 listings), Delta (234 listings), and Refugio (205 listings).
Additional coverage spans Waller (182), Gregg (164), Lamar (149), Bowie (137), Duval (126), Real (117), Irion (109), Fort Bend (102), Rockwall (96), Deaf Smith (91), Wilbarger (86), San Augustine (82) , plus 234 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Stonewall | 1,639 | 1,639 | 574 |
| Jim Hogg | 819 | 819 | 287 |
| Donley | 546 | 546 | 191 |
| Red River | 410 | 410 | 144 |
| Walker | 328 | 328 | 115 |
| Menard | 273 | 273 | 96 |
| Delta | 234 | 234 | 82 |
| Refugio | 205 | 205 | 72 |
| Waller | 182 | 182 | 64 |
| Gregg | 164 | 164 | 57 |
| All districts (254) | 10,022 | 10,022 | 3,508 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Stonewall | 1,639 | 1,639 | 574 |
| Jim Hogg | 819 | 819 | 287 |
| Donley | 546 | 546 | 191 |
| Red River | 410 | 410 | 144 |
| Walker | 328 | 328 | 115 |
| Menard | 273 | 273 | 96 |
| Delta | 234 | 234 | 82 |
| Refugio | 205 | 205 | 72 |
| Waller | 182 | 182 | 64 |
| Gregg | 164 | 164 | 57 |
| Lamar | 149 | 149 | 52 |
| Bowie | 137 | 137 | 48 |
| Duval | 126 | 126 | 44 |
| Real | 117 | 117 | 41 |
| Irion | 109 | 109 | 38 |
| Fort Bend | 102 | 102 | 36 |
| Rockwall | 96 | 96 | 34 |
| Deaf Smith | 91 | 91 | 32 |
| Wilbarger | 86 | 86 | 30 |
| San Augustine | 82 | 82 | 29 |
| Cooke | 78 | 78 | 27 |
| Montgomery | 74 | 74 | 26 |
| Brazos | 71 | 71 | 25 |
| Anderson | 68 | 68 | 24 |
| Upton | 66 | 66 | 23 |
| Llano | 63 | 63 | 22 |
| Cass | 61 | 61 | 21 |
| Motley | 59 | 59 | 21 |
| Sabine | 57 | 57 | 20 |
| Taylor | 55 | 55 | 19 |
| Gray | 53 | 53 | 19 |
| Andrews | 51 | 51 | 18 |
| Denton | 50 | 50 | 18 |
| Rains | 48 | 48 | 17 |
| Potter | 47 | 47 | 16 |
| Bexar | 46 | 46 | 16 |
| Ector | 44 | 44 | 15 |
| Jefferson | 43 | 43 | 15 |
| Hartley | 42 | 42 | 15 |
| Robertson | 41 | 41 | 14 |
| La Salle | 40 | 40 | 14 |
| Calhoun | 39 | 39 | 14 |
| Bastrop | 38 | 38 | 13 |
| Reagan | 37 | 37 | 13 |
| Goliad | 36 | 36 | 13 |
| Navarro | 36 | 36 | 13 |
| Sterling | 35 | 35 | 12 |
| Mills | 34 | 34 | 12 |
| Wise | 33 | 33 | 12 |
| Jack | 33 | 33 | 12 |
| Shelby | 32 | 32 | 11 |
| Howard | 32 | 32 | 11 |
| Moore | 31 | 31 | 11 |
| Maverick | 30 | 30 | 11 |
| Terry | 30 | 30 | 11 |
| Tarrant | 29 | 29 | 10 |
| King | 29 | 29 | 10 |
| Guadalupe | 28 | 28 | 10 |
| Hays | 28 | 28 | 10 |
| Oldham | 27 | 27 | 9 |
| Wheeler | 27 | 27 | 9 |
| Palo Pinto | 26 | 26 | 9 |
| Bosque | 26 | 26 | 9 |
| Foard | 26 | 26 | 9 |
| McMullen | 25 | 25 | 9 |
| Cameron | 25 | 25 | 9 |
| Bee | 24 | 24 | 8 |
| Borden | 24 | 24 | 8 |
| Throckmorton | 24 | 24 | 8 |
| Garza | 23 | 23 | 8 |
| Gaines | 23 | 23 | 8 |
| Ellis | 23 | 23 | 8 |
| Hockley | 22 | 22 | 8 |
| Lampasas | 22 | 22 | 8 |
| Lee | 22 | 22 | 8 |
| Galveston | 22 | 22 | 8 |
| Ochiltree | 21 | 21 | 7 |
| Willacy | 21 | 21 | 7 |
| Dimmit | 21 | 21 | 7 |
| Scurry | 20 | 20 | 7 |
| Hardeman | 20 | 20 | 7 |
| Freestone | 20 | 20 | 7 |
| Upshur | 20 | 20 | 7 |
| Ward | 20 | 20 | 7 |
| Tom Green | 19 | 19 | 7 |
| Dickens | 19 | 19 | 7 |
| Edwards | 19 | 19 | 7 |
| Madison | 19 | 19 | 7 |
| Concho | 18 | 18 | 6 |
| McLennan | 18 | 18 | 6 |
| Houston | 18 | 18 | 6 |
| Camp | 18 | 18 | 6 |
| Wichita | 18 | 18 | 6 |
| Coryell | 17 | 17 | 6 |
| Winkler | 17 | 17 | 6 |
| Sutton | 17 | 17 | 6 |
| Grimes | 17 | 17 | 6 |
| Crosby | 17 | 17 | 6 |
| Loving | 17 | 17 | 6 |
| Hansford | 16 | 16 | 6 |
| Montague | 16 | 16 | 6 |
| Morris | 16 | 16 | 6 |
| Blanco | 16 | 16 | 6 |
| Briscoe | 16 | 16 | 6 |
| Hopkins | 16 | 16 | 6 |
| Coke | 15 | 15 | 5 |
| Van Zandt | 15 | 15 | 5 |
| Midland | 15 | 15 | 5 |
| Dallam | 15 | 15 | 5 |
| Smith | 15 | 15 | 5 |
| Hemphill | 15 | 15 | 5 |
| Bandera | 15 | 15 | 5 |
| Crockett | 15 | 15 | 5 |
| Eastland | 14 | 14 | 5 |
| McCulloch | 14 | 14 | 5 |
| Hudspeth | 14 | 14 | 5 |
| Sherman | 14 | 14 | 5 |
| Henderson | 14 | 14 | 5 |
| El Paso | 14 | 14 | 5 |
| Jones | 14 | 14 | 5 |
| Kinney | 14 | 14 | 5 |
| Milam | 13 | 13 | 5 |
| Harrison | 13 | 13 | 5 |
| Zapata | 13 | 13 | 5 |
| Trinity | 13 | 13 | 5 |
| Falls | 13 | 13 | 5 |
| Hall | 13 | 13 | 5 |
| Chambers | 13 | 13 | 5 |
| Polk | 13 | 13 | 5 |
| Victoria | 13 | 13 | 5 |
| Matagorda | 13 | 13 | 5 |
| Erath | 12 | 12 | 4 |
| Hidalgo | 12 | 12 | 4 |
| Nolan | 12 | 12 | 4 |
| Clay | 12 | 12 | 4 |
| Harris | 12 | 12 | 4 |
| Terrell | 12 | 12 | 4 |
| Brooks | 12 | 12 | 4 |
| Jackson | 12 | 12 | 4 |
| Hutchinson | 12 | 12 | 4 |
| Lavaca | 12 | 12 | 4 |
| Swisher | 12 | 12 | 4 |
| Callahan | 11 | 11 | 4 |
| Hill | 11 | 11 | 4 |
| Orange | 11 | 11 | 4 |
| Comal | 11 | 11 | 4 |
| Dallas | 11 | 11 | 4 |
| Glasscock | 11 | 11 | 4 |
| Collin | 11 | 11 | 4 |
| San Jacinto | 11 | 11 | 4 |
| Frio | 11 | 11 | 4 |
| Burnet | 11 | 11 | 4 |
| Caldwell | 11 | 11 | 4 |
| Travis | 11 | 11 | 4 |
| Presidio | 11 | 11 | 4 |
| Haskell | 11 | 11 | 4 |
| Kimble | 10 | 10 | 4 |
| Jasper | 10 | 10 | 4 |
| Randall | 10 | 10 | 4 |
| Washington | 10 | 10 | 4 |
| Live Oak | 10 | 10 | 4 |
| Wood | 10 | 10 | 4 |
| Williamson | 10 | 10 | 4 |
| Knox | 10 | 10 | 4 |
| Mason | 10 | 10 | 4 |
| Tyler | 10 | 10 | 4 |
| Cochran | 10 | 10 | 4 |
| Armstrong | 10 | 10 | 4 |
| Hamilton | 10 | 10 | 4 |
| Archer | 10 | 10 | 4 |
| Parmer | 10 | 10 | 4 |
| Kenedy | 10 | 10 | 4 |
| Newton | 9 | 9 | 3 |
| Hood | 9 | 9 | 3 |
| Parker | 9 | 9 | 3 |
| Somervell | 9 | 9 | 3 |
| Yoakum | 9 | 9 | 3 |
| Kent | 9 | 9 | 3 |
| Karnes | 9 | 9 | 3 |
| Nueces | 9 | 9 | 3 |
| Brewster | 9 | 9 | 3 |
| Kaufman | 9 | 9 | 3 |
| Young | 9 | 9 | 3 |
| Reeves | 9 | 9 | 3 |
| Hunt | 9 | 9 | 3 |
| Angelina | 9 | 9 | 3 |
| Kerr | 9 | 9 | 3 |
| Aransas | 9 | 9 | 3 |
| Fayette | 9 | 9 | 3 |
| Martin | 9 | 9 | 3 |
| Pecos | 9 | 9 | 3 |
| Lynn | 9 | 9 | 3 |
| Floyd | 8 | 8 | 3 |
| Crane | 8 | 8 | 3 |
| Baylor | 8 | 8 | 3 |
| Val Verde | 8 | 8 | 3 |
| Culberson | 8 | 8 | 3 |
| Kendall | 8 | 8 | 3 |
| Leon | 8 | 8 | 3 |
| Coleman | 8 | 8 | 3 |
| Wilson | 8 | 8 | 3 |
| San Saba | 8 | 8 | 3 |
| Limestone | 8 | 8 | 3 |
| Carson | 8 | 8 | 3 |
| Titus | 8 | 8 | 3 |
| Stephens | 8 | 8 | 3 |
| Runnels | 8 | 8 | 3 |
| Zavala | 8 | 8 | 3 |
| Colorado | 8 | 8 | 3 |
| San Patricio | 8 | 8 | 3 |
| Fannin | 8 | 8 | 3 |
| Jim Wells | 8 | 8 | 3 |
| Atascosa | 8 | 8 | 3 |
| Castro | 8 | 8 | 3 |
| Starr | 8 | 8 | 3 |
| Childress | 8 | 8 | 3 |
| Austin | 8 | 8 | 3 |
| Schleicher | 8 | 8 | 3 |
| Panola | 7 | 7 | 2 |
| Mitchell | 7 | 7 | 2 |
| Bell | 7 | 7 | 2 |
| Burleson | 7 | 7 | 2 |
| Nacogdoches | 7 | 7 | 2 |
| DeWitt | 7 | 7 | 2 |
| Brazoria | 7 | 7 | 2 |
| Grayson | 7 | 7 | 2 |
| Fisher | 7 | 7 | 2 |
| Uvalde | 7 | 7 | 2 |
| Johnson | 7 | 7 | 2 |
| Cherokee | 7 | 7 | 2 |
| Lamb | 7 | 7 | 2 |
| Liberty | 7 | 7 | 2 |
| Collingsworth | 7 | 7 | 2 |
| Roberts | 7 | 7 | 2 |
| Hardin | 7 | 7 | 2 |
| Shackelford | 7 | 7 | 2 |
| Bailey | 7 | 7 | 2 |
| Medina | 7 | 7 | 2 |
| Franklin | 7 | 7 | 2 |
| Cottle | 7 | 7 | 2 |
| Webb | 7 | 7 | 2 |
| Rusk | 7 | 7 | 2 |
| Wharton | 7 | 7 | 2 |
| Lubbock | 7 | 7 | 2 |
| Hale | 7 | 7 | 2 |
| Gonzales | 7 | 7 | 2 |
| Lipscomb | 7 | 7 | 2 |
| Comanche | 7 | 7 | 2 |
| Dawson | 7 | 7 | 2 |
| Gillespie | 7 | 7 | 2 |
| Kleberg | 7 | 7 | 2 |
| Marion | 7 | 7 | 2 |
| Jeff Davis | 6 | 6 | 2 |
| Brown | 2 | 2 | 1 |
| All districts (254) | 10,022 | 10,022 | 3,508 |
The Clothing stores database includes 10,022+ verified Clothing 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.
Fred (US) bought 14 hours ago · Marjory (US) bought 1 day ago · Matilda (US) bought 3 days ago · Johanna (US) bought 3 days ago · Charlene (US) bought 5 days ago
There are roughly 10,022+ Clothing stores in Texas, United States as of 2026. The full list is available as a CSV download on this page with name, address, phone, hours and GPS coordinates for every location.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Clothing stores CSV covering all of Texas, United States within seconds. Every row is human-checked.
Each Clothing record carries the full operational profile: Clothing store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL along with website, hours, Google rating and review volume. CSV opens directly in Excel / Sheets / Power BI / Looker.
Triple-source verification: the Clothing 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 Clothing 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 Clothing 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 Clothing 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 10,022+ 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:
Aug 15, 2026 05:45 AM
Published:
May 11, 2026 04:16 AM
Rows (Regular):
5,011
Rows (Extended):
10,022
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
