Data2Sales AI
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Verified buyers
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This dataset covers 61,988 verified records spread across 254+ districts in Texas. 61,988 records carry a verified phone number and 21,696 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Terrell (10,135 listings), Hemphill (5,067 listings), Floyd (3,378 listings), Crane (2,534 listings), Jackson (2,027 listings), Palo Pinto (1,689 listings), Lamb (1,448 listings), and Webb (1,267 listings).
Additional coverage spans Pecos (1,126), Rusk (1,013), Swisher (921), McCulloch (845), Montague (780), Waller (724), Hansford (676), Hale (633), Donley (596), Henderson (563), Menard (533), Walker (507) , plus 234 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Terrell | 10,135 | 10,135 | 3,547 |
| Hemphill | 5,067 | 5,067 | 1,773 |
| Floyd | 3,378 | 3,378 | 1,182 |
| Crane | 2,534 | 2,534 | 887 |
| Jackson | 2,027 | 2,027 | 709 |
| Palo Pinto | 1,689 | 1,689 | 591 |
| Lamb | 1,448 | 1,448 | 507 |
| Webb | 1,267 | 1,267 | 443 |
| Pecos | 1,126 | 1,126 | 394 |
| Rusk | 1,013 | 1,013 | 355 |
| All districts (254) | 61,988 | 61,988 | 21,696 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Terrell | 10,135 | 10,135 | 3,547 |
| Hemphill | 5,067 | 5,067 | 1,773 |
| Floyd | 3,378 | 3,378 | 1,182 |
| Crane | 2,534 | 2,534 | 887 |
| Jackson | 2,027 | 2,027 | 709 |
| Palo Pinto | 1,689 | 1,689 | 591 |
| Lamb | 1,448 | 1,448 | 507 |
| Webb | 1,267 | 1,267 | 443 |
| Pecos | 1,126 | 1,126 | 394 |
| Rusk | 1,013 | 1,013 | 355 |
| Swisher | 921 | 921 | 322 |
| McCulloch | 845 | 845 | 296 |
| Montague | 780 | 780 | 273 |
| Waller | 724 | 724 | 253 |
| Hansford | 676 | 676 | 237 |
| Hale | 633 | 633 | 222 |
| Donley | 596 | 596 | 209 |
| Henderson | 563 | 563 | 197 |
| Menard | 533 | 533 | 187 |
| Walker | 507 | 507 | 177 |
| Hidalgo | 483 | 483 | 169 |
| Harrison | 461 | 461 | 161 |
| Van Zandt | 441 | 441 | 154 |
| Taylor | 422 | 422 | 148 |
| Titus | 405 | 405 | 142 |
| Motley | 390 | 390 | 137 |
| Sabine | 375 | 375 | 131 |
| San Jacinto | 362 | 362 | 127 |
| Brazos | 349 | 349 | 122 |
| Bell | 338 | 338 | 118 |
| Eastland | 327 | 327 | 114 |
| Hudspeth | 317 | 317 | 111 |
| Crockett | 307 | 307 | 107 |
| Goliad | 298 | 298 | 104 |
| Starr | 290 | 290 | 102 |
| Reagan | 282 | 282 | 99 |
| Cochran | 274 | 274 | 96 |
| Lampasas | 267 | 267 | 93 |
| Freestone | 260 | 260 | 91 |
| Tom Green | 253 | 253 | 89 |
| Collingsworth | 247 | 247 | 86 |
| Haskell | 241 | 241 | 84 |
| Deaf Smith | 236 | 236 | 83 |
| Denton | 230 | 230 | 81 |
| Randall | 225 | 225 | 79 |
| Potter | 220 | 220 | 77 |
| Montgomery | 216 | 216 | 76 |
| Galveston | 211 | 211 | 74 |
| Kaufman | 207 | 207 | 72 |
| Lynn | 203 | 203 | 71 |
| Bosque | 199 | 199 | 70 |
| McLennan | 195 | 195 | 68 |
| Oldham | 191 | 191 | 67 |
| Aransas | 188 | 188 | 66 |
| Ochiltree | 184 | 184 | 64 |
| Fayette | 181 | 181 | 63 |
| Howard | 178 | 178 | 62 |
| Shelby | 175 | 175 | 61 |
| Brown | 172 | 172 | 60 |
| Hardeman | 169 | 169 | 59 |
| Leon | 166 | 166 | 58 |
| Guadalupe | 163 | 163 | 57 |
| Erath | 161 | 161 | 56 |
| Scurry | 158 | 158 | 55 |
| Nolan | 156 | 156 | 55 |
| Dimmit | 154 | 154 | 54 |
| Coleman | 151 | 151 | 53 |
| Falls | 149 | 149 | 52 |
| Kent | 147 | 147 | 51 |
| Kendall | 145 | 145 | 51 |
| La Salle | 143 | 143 | 50 |
| Lee | 141 | 141 | 49 |
| Hunt | 139 | 139 | 49 |
| Kerr | 137 | 137 | 48 |
| Gaines | 135 | 135 | 47 |
| Borden | 133 | 133 | 47 |
| Bee | 132 | 132 | 46 |
| McMullen | 130 | 130 | 46 |
| Runnels | 128 | 128 | 45 |
| Wood | 127 | 127 | 44 |
| Comal | 125 | 125 | 44 |
| Throckmorton | 124 | 124 | 43 |
| Knox | 122 | 122 | 43 |
| Concho | 121 | 121 | 42 |
| Maverick | 119 | 119 | 42 |
| Sterling | 118 | 118 | 41 |
| Robertson | 116 | 116 | 41 |
| Hood | 115 | 115 | 40 |
| Jefferson | 114 | 114 | 40 |
| Upshur | 113 | 113 | 40 |
| Rockwall | 111 | 111 | 39 |
| Nacogdoches | 110 | 110 | 39 |
| Grayson | 109 | 109 | 38 |
| Blanco | 108 | 108 | 38 |
| Dallam | 107 | 107 | 37 |
| Frio | 106 | 106 | 37 |
| Crosby | 104 | 104 | 36 |
| Morris | 103 | 103 | 36 |
| Wilbarger | 102 | 102 | 36 |
| Loving | 101 | 101 | 35 |
| Mason | 100 | 100 | 35 |
| Sutton | 99 | 99 | 35 |
| Jim Hogg | 98 | 98 | 34 |
| Tyler | 97 | 97 | 34 |
| Grimes | 97 | 97 | 34 |
| Kinney | 96 | 96 | 34 |
| Hall | 95 | 95 | 33 |
| Wharton | 94 | 94 | 33 |
| Polk | 93 | 93 | 33 |
| Zapata | 92 | 92 | 32 |
| Lubbock | 91 | 91 | 32 |
| Fort Bend | 90 | 90 | 32 |
| Clay | 90 | 90 | 32 |
| Kleberg | 89 | 89 | 31 |
| Liberty | 88 | 88 | 31 |
| Roberts | 87 | 87 | 30 |
| Anderson | 87 | 87 | 30 |
| Stonewall | 86 | 86 | 30 |
| Red River | 85 | 85 | 30 |
| Johnson | 84 | 84 | 29 |
| Shackelford | 84 | 84 | 29 |
| Hill | 83 | 83 | 29 |
| Young | 82 | 82 | 29 |
| Brazoria | 82 | 82 | 29 |
| Garza | 81 | 81 | 28 |
| Orange | 80 | 80 | 28 |
| Mitchell | 80 | 80 | 28 |
| Harris | 79 | 79 | 28 |
| Lavaca | 79 | 79 | 28 |
| Gillespie | 78 | 78 | 27 |
| Brooks | 77 | 77 | 27 |
| Burleson | 77 | 77 | 27 |
| Ellis | 76 | 76 | 27 |
| Refugio | 76 | 76 | 27 |
| Atascosa | 75 | 75 | 26 |
| Comanche | 75 | 75 | 26 |
| Travis | 74 | 74 | 26 |
| Andrews | 73 | 73 | 26 |
| Collin | 73 | 73 | 26 |
| Burnet | 72 | 72 | 25 |
| Lipscomb | 72 | 72 | 25 |
| Gonzales | 71 | 71 | 25 |
| Franklin | 71 | 71 | 25 |
| Coke | 70 | 70 | 25 |
| Washington | 70 | 70 | 25 |
| Williamson | 69 | 69 | 24 |
| Jim Wells | 69 | 69 | 24 |
| Dallas | 68 | 68 | 24 |
| Cherokee | 68 | 68 | 24 |
| Childress | 68 | 68 | 24 |
| Kenedy | 67 | 67 | 23 |
| Newton | 67 | 67 | 23 |
| Ward | 66 | 66 | 23 |
| Calhoun | 66 | 66 | 23 |
| Bastrop | 65 | 65 | 23 |
| Parker | 65 | 65 | 23 |
| San Saba | 65 | 65 | 23 |
| Parmer | 64 | 64 | 22 |
| Archer | 64 | 64 | 22 |
| Camp | 63 | 63 | 22 |
| Jasper | 63 | 63 | 22 |
| Smith | 63 | 63 | 22 |
| Hartley | 62 | 62 | 22 |
| Kimble | 62 | 62 | 22 |
| Limestone | 61 | 61 | 21 |
| Colorado | 61 | 61 | 21 |
| Culberson | 61 | 61 | 21 |
| Martin | 60 | 60 | 21 |
| Val Verde | 60 | 60 | 21 |
| Jones | 60 | 60 | 21 |
| Reeves | 59 | 59 | 21 |
| Wheeler | 59 | 59 | 21 |
| Hutchinson | 59 | 59 | 21 |
| Milam | 58 | 58 | 20 |
| Nueces | 58 | 58 | 20 |
| Stephens | 58 | 58 | 20 |
| Karnes | 57 | 57 | 20 |
| Navarro | 57 | 57 | 20 |
| Tarrant | 57 | 57 | 20 |
| Yoakum | 56 | 56 | 20 |
| Delta | 56 | 56 | 20 |
| Wise | 56 | 56 | 20 |
| Jack | 55 | 55 | 19 |
| Hockley | 55 | 55 | 19 |
| Jeff Davis | 55 | 55 | 19 |
| Wilson | 54 | 54 | 19 |
| Willacy | 54 | 54 | 19 |
| Baylor | 54 | 54 | 19 |
| Hamilton | 54 | 54 | 19 |
| Bowie | 53 | 53 | 19 |
| Duval | 53 | 53 | 19 |
| Hays | 53 | 53 | 19 |
| San Patricio | 53 | 53 | 19 |
| San Augustine | 52 | 52 | 18 |
| Irion | 52 | 52 | 18 |
| Cameron | 52 | 52 | 18 |
| King | 51 | 51 | 18 |
| Somervell | 51 | 51 | 18 |
| Live Oak | 51 | 51 | 18 |
| Lamar | 51 | 51 | 18 |
| Gregg | 50 | 50 | 18 |
| Upton | 50 | 50 | 18 |
| Wichita | 50 | 50 | 18 |
| Llano | 50 | 50 | 18 |
| Fannin | 49 | 49 | 17 |
| Houston | 49 | 49 | 17 |
| Armstrong | 49 | 49 | 17 |
| Zavala | 49 | 49 | 17 |
| Coryell | 48 | 48 | 17 |
| Brewster | 48 | 48 | 17 |
| Cooke | 48 | 48 | 17 |
| Angelina | 48 | 48 | 17 |
| Schleicher | 48 | 48 | 17 |
| Carson | 47 | 47 | 16 |
| Edwards | 47 | 47 | 16 |
| Madison | 47 | 47 | 16 |
| Dickens | 47 | 47 | 16 |
| Hopkins | 46 | 46 | 16 |
| Callahan | 46 | 46 | 16 |
| Midland | 46 | 46 | 16 |
| DeWitt | 46 | 46 | 16 |
| Briscoe | 46 | 46 | 16 |
| Rains | 45 | 45 | 16 |
| Cass | 45 | 45 | 16 |
| Bandera | 45 | 45 | 16 |
| Ector | 45 | 45 | 16 |
| Bexar | 45 | 45 | 16 |
| Austin | 44 | 44 | 15 |
| Glasscock | 44 | 44 | 15 |
| Winkler | 44 | 44 | 15 |
| Panola | 44 | 44 | 15 |
| Gray | 44 | 44 | 15 |
| Chambers | 43 | 43 | 15 |
| Castro | 43 | 43 | 15 |
| Victoria | 43 | 43 | 15 |
| Marion | 43 | 43 | 15 |
| Dawson | 43 | 43 | 15 |
| Moore | 43 | 43 | 15 |
| Presidio | 42 | 42 | 15 |
| Terry | 42 | 42 | 15 |
| Trinity | 42 | 42 | 15 |
| Caldwell | 42 | 42 | 15 |
| Mills | 42 | 42 | 15 |
| Cottle | 42 | 42 | 15 |
| Medina | 41 | 41 | 14 |
| Matagorda | 41 | 41 | 14 |
| Bailey | 41 | 41 | 14 |
| Foard | 41 | 41 | 14 |
| El Paso | 41 | 41 | 14 |
| Uvalde | 41 | 41 | 14 |
| Real | 41 | 41 | 14 |
| Fisher | 40 | 40 | 14 |
| Hardin | 40 | 40 | 14 |
| Sherman | 40 | 40 | 14 |
| All districts (254) | 61,988 | 61,988 | 21,696 |
The Verified Shopify stores database includes 61,988+ verified Shopify 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.
Our latest 2026 count shows 61,988+ live Verified Shopify stores across Texas, United States. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
This page IS the download point. The Verified Shopify stores CSV for Texas, United States ships immediately after payment and includes all verified store-level fields.
Every record in the Verified Shopify stores dataset includes: Verified Shopify 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 Verified Shopify 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 Verified Shopify 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 Verified Shopify 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 Shopify 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 61,988+ 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:
Jul 06, 2026 11:58 AM
Rows (Regular):
27,895
Rows (Extended):
61,988
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.