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This dataset covers 1,696 verified records spread across 254+ districts in Texas. 1,696 records carry a verified phone number and 594 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Shelby (277 listings), Howard (139 listings), Leon (92 listings), Stephens (69 listings), San Patricio (55 listings), Young (46 listings), Oldham (40 listings), and Lynn (35 listings).
Additional coverage spans Culberson (31), Kendall (28), Colorado (25), Val Verde (23), Bosque (21), Coleman (20), Denton (18), Potter (17), Limestone (16), Mason (15), Tyler (15), Runnels (14) , plus 234 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Shelby | 277 | 277 | 97 |
| Howard | 139 | 139 | 49 |
| Leon | 92 | 92 | 32 |
| Stephens | 69 | 69 | 24 |
| San Patricio | 55 | 55 | 19 |
| Young | 46 | 46 | 16 |
| Oldham | 40 | 40 | 14 |
| Lynn | 35 | 35 | 12 |
| Culberson | 31 | 31 | 11 |
| Kendall | 28 | 28 | 10 |
| All districts (254) | 1,696 | 1,696 | 594 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Shelby | 277 | 277 | 97 |
| Howard | 139 | 139 | 49 |
| Leon | 92 | 92 | 32 |
| Stephens | 69 | 69 | 24 |
| San Patricio | 55 | 55 | 19 |
| Young | 46 | 46 | 16 |
| Oldham | 40 | 40 | 14 |
| Lynn | 35 | 35 | 12 |
| Culberson | 31 | 31 | 11 |
| Kendall | 28 | 28 | 10 |
| Colorado | 25 | 25 | 9 |
| Val Verde | 23 | 23 | 8 |
| Bosque | 21 | 21 | 7 |
| Coleman | 20 | 20 | 7 |
| Denton | 18 | 18 | 6 |
| Potter | 17 | 17 | 6 |
| Limestone | 16 | 16 | 6 |
| Mason | 15 | 15 | 5 |
| Tyler | 15 | 15 | 5 |
| Runnels | 14 | 14 | 5 |
| Goliad | 13 | 13 | 5 |
| Williamson | 13 | 13 | 5 |
| Reagan | 12 | 12 | 4 |
| San Augustine | 12 | 12 | 4 |
| Wilson | 12 | 12 | 4 |
| San Saba | 11 | 11 | 4 |
| Washington | 11 | 11 | 4 |
| Cherokee | 10 | 10 | 4 |
| Childress | 10 | 10 | 4 |
| Bell | 10 | 10 | 4 |
| Franklin | 9 | 9 | 3 |
| Brazos | 9 | 9 | 3 |
| Jim Wells | 9 | 9 | 3 |
| Motley | 8 | 8 | 3 |
| Gonzales | 8 | 8 | 3 |
| Sabine | 8 | 8 | 3 |
| Lipscomb | 8 | 8 | 3 |
| Comanche | 7 | 7 | 2 |
| Taylor | 7 | 7 | 2 |
| Grayson | 7 | 7 | 2 |
| Comal | 7 | 7 | 2 |
| Johnson | 7 | 7 | 2 |
| Donley | 7 | 7 | 2 |
| Hutchinson | 6 | 6 | 2 |
| Roberts | 6 | 6 | 2 |
| Hale | 6 | 6 | 2 |
| Menard | 6 | 6 | 2 |
| Liberty | 6 | 6 | 2 |
| Atascosa | 6 | 6 | 2 |
| Walker | 6 | 6 | 2 |
| Waller | 6 | 6 | 2 |
| Lubbock | 5 | 5 | 2 |
| Mitchell | 5 | 5 | 2 |
| Nolan | 5 | 5 | 2 |
| Wharton | 5 | 5 | 2 |
| Gillespie | 5 | 5 | 2 |
| Burleson | 5 | 5 | 2 |
| Lamb | 5 | 5 | 2 |
| Erath | 5 | 5 | 2 |
| Rusk | 5 | 5 | 2 |
| Kleberg | 5 | 5 | 2 |
| Webb | 5 | 5 | 2 |
| Brazoria | 4 | 4 | 1 |
| Falls | 4 | 4 | 1 |
| Brown | 4 | 4 | 1 |
| Hidalgo | 4 | 4 | 1 |
| Jeff Davis | 4 | 4 | 1 |
| Matagorda | 4 | 4 | 1 |
| Hill | 4 | 4 | 1 |
| Jackson | 4 | 4 | 1 |
| Polk | 4 | 4 | 1 |
| Terrell | 4 | 4 | 1 |
| Caldwell | 4 | 4 | 1 |
| Hall | 4 | 4 | 1 |
| Swisher | 4 | 4 | 1 |
| Clay | 4 | 4 | 1 |
| Kinney | 4 | 4 | 1 |
| Zapata | 4 | 4 | 1 |
| Presidio | 4 | 4 | 1 |
| Sutton | 4 | 4 | 1 |
| Frio | 3 | 3 | 1 |
| Chambers | 3 | 3 | 1 |
| Victoria | 3 | 3 | 1 |
| Grimes | 3 | 3 | 1 |
| Glasscock | 3 | 3 | 1 |
| Crosby | 3 | 3 | 1 |
| Morris | 3 | 3 | 1 |
| Loving | 3 | 3 | 1 |
| Blanco | 3 | 3 | 1 |
| Starr | 3 | 3 | 1 |
| Dallam | 3 | 3 | 1 |
| Schleicher | 3 | 3 | 1 |
| Callahan | 3 | 3 | 1 |
| Haskell | 3 | 3 | 1 |
| Upshur | 3 | 3 | 1 |
| Knox | 3 | 3 | 1 |
| Randall | 3 | 3 | 1 |
| Hood | 3 | 3 | 1 |
| Concho | 3 | 3 | 1 |
| Cochran | 3 | 3 | 1 |
| Titus | 3 | 3 | 1 |
| Brewster | 3 | 3 | 1 |
| Angelina | 3 | 3 | 1 |
| Wood | 3 | 3 | 1 |
| Armstrong | 3 | 3 | 1 |
| Kerr | 3 | 3 | 1 |
| Borden | 3 | 3 | 1 |
| Hunt | 3 | 3 | 1 |
| Gaines | 3 | 3 | 1 |
| Live Oak | 3 | 3 | 1 |
| Somervell | 3 | 3 | 1 |
| Kaufman | 2 | 2 | 1 |
| Hamilton | 2 | 2 | 1 |
| Floyd | 2 | 2 | 1 |
| Crane | 2 | 2 | 1 |
| Fayette | 2 | 2 | 1 |
| Aransas | 2 | 2 | 1 |
| Scurry | 2 | 2 | 1 |
| Pecos | 2 | 2 | 1 |
| Dimmit | 2 | 2 | 1 |
| Kent | 2 | 2 | 1 |
| Hardeman | 2 | 2 | 1 |
| Foard | 2 | 2 | 1 |
| Cameron | 2 | 2 | 1 |
| Yoakum | 2 | 2 | 1 |
| Palo Pinto | 2 | 2 | 1 |
| Nueces | 2 | 2 | 1 |
| Karnes | 2 | 2 | 1 |
| Reeves | 2 | 2 | 1 |
| McLennan | 2 | 2 | 1 |
| Terry | 2 | 2 | 1 |
| Hockley | 2 | 2 | 1 |
| Moore | 2 | 2 | 1 |
| Ochiltree | 2 | 2 | 1 |
| Mills | 2 | 2 | 1 |
| Galveston | 2 | 2 | 1 |
| Martin | 2 | 2 | 1 |
| Willacy | 2 | 2 | 1 |
| Camp | 2 | 2 | 1 |
| Kimble | 2 | 2 | 1 |
| Freestone | 2 | 2 | 1 |
| Jasper | 2 | 2 | 1 |
| Dickens | 2 | 2 | 1 |
| Tom Green | 2 | 2 | 1 |
| Edwards | 2 | 2 | 1 |
| Madison | 2 | 2 | 1 |
| Throckmorton | 2 | 2 | 1 |
| Houston | 2 | 2 | 1 |
| Ward | 2 | 2 | 1 |
| Lampasas | 2 | 2 | 1 |
| Parmer | 2 | 2 | 1 |
| Wichita | 2 | 2 | 1 |
| Archer | 2 | 2 | 1 |
| Newton | 2 | 2 | 1 |
| Kenedy | 2 | 2 | 1 |
| Ector | 2 | 2 | 1 |
| Bexar | 2 | 2 | 1 |
| Parker | 2 | 2 | 1 |
| Rains | 2 | 2 | 1 |
| Coryell | 2 | 2 | 1 |
| Dallas | 2 | 2 | 1 |
| Coke | 2 | 2 | 1 |
| Winkler | 2 | 2 | 1 |
| Crockett | 2 | 2 | 1 |
| Hudspeth | 2 | 2 | 1 |
| Eastland | 2 | 2 | 1 |
| Briscoe | 2 | 2 | 1 |
| Llano | 2 | 2 | 1 |
| Collin | 2 | 2 | 1 |
| Montgomery | 2 | 2 | 1 |
| Midland | 2 | 2 | 1 |
| Burnet | 2 | 2 | 1 |
| Deaf Smith | 2 | 2 | 1 |
| Hopkins | 2 | 2 | 1 |
| Upton | 2 | 2 | 1 |
| Harrison | 2 | 2 | 1 |
| Van Zandt | 2 | 2 | 1 |
| Bandera | 2 | 2 | 1 |
| Cooke | 2 | 2 | 1 |
| Travis | 2 | 2 | 1 |
| Irion | 2 | 2 | 1 |
| Bowie | 2 | 2 | 1 |
| Duval | 2 | 2 | 1 |
| Henderson | 2 | 2 | 1 |
| Sherman | 2 | 2 | 1 |
| McCulloch | 1 | 1 | 0 |
| El Paso | 1 | 1 | 0 |
| San Jacinto | 1 | 1 | 0 |
| Hansford | 1 | 1 | 0 |
| Lamar | 1 | 1 | 0 |
| Montague | 1 | 1 | 0 |
| Gregg | 1 | 1 | 0 |
| Harris | 1 | 1 | 0 |
| Lavaca | 1 | 1 | 0 |
| Delta | 1 | 1 | 0 |
| Brooks | 1 | 1 | 0 |
| Hemphill | 1 | 1 | 0 |
| Orange | 1 | 1 | 0 |
| Trinity | 1 | 1 | 0 |
| Fisher | 1 | 1 | 0 |
| Uvalde | 1 | 1 | 0 |
| Hardin | 1 | 1 | 0 |
| Milam | 1 | 1 | 0 |
| Anderson | 1 | 1 | 0 |
| Cottle | 1 | 1 | 0 |
| Medina | 1 | 1 | 0 |
| Bailey | 1 | 1 | 0 |
| Nacogdoches | 1 | 1 | 0 |
| Stonewall | 1 | 1 | 0 |
| Real | 1 | 1 | 0 |
| Refugio | 1 | 1 | 0 |
| Red River | 1 | 1 | 0 |
| Fort Bend | 1 | 1 | 0 |
| Jones | 1 | 1 | 0 |
| Marion | 1 | 1 | 0 |
| Dawson | 1 | 1 | 0 |
| Jim Hogg | 1 | 1 | 0 |
| Castro | 1 | 1 | 0 |
| Smith | 1 | 1 | 0 |
| Austin | 1 | 1 | 0 |
| Gray | 1 | 1 | 0 |
| Panola | 1 | 1 | 0 |
| Wilbarger | 1 | 1 | 0 |
| Shackelford | 1 | 1 | 0 |
| Cass | 1 | 1 | 0 |
| DeWitt | 1 | 1 | 0 |
| Rockwall | 1 | 1 | 0 |
| Andrews | 1 | 1 | 0 |
| Bee | 1 | 1 | 0 |
| Sterling | 1 | 1 | 0 |
| Robertson | 1 | 1 | 0 |
| Jefferson | 1 | 1 | 0 |
| Hartley | 1 | 1 | 0 |
| Maverick | 1 | 1 | 0 |
| Carson | 1 | 1 | 0 |
| Zavala | 1 | 1 | 0 |
| Calhoun | 1 | 1 | 0 |
| Lee | 1 | 1 | 0 |
| Bastrop | 1 | 1 | 0 |
| Fannin | 1 | 1 | 0 |
| McMullen | 1 | 1 | 0 |
| Navarro | 1 | 1 | 0 |
| Hays | 1 | 1 | 0 |
| King | 1 | 1 | 0 |
| Ellis | 1 | 1 | 0 |
| Tarrant | 1 | 1 | 0 |
| Jack | 1 | 1 | 0 |
| Baylor | 1 | 1 | 0 |
| Wise | 1 | 1 | 0 |
| Garza | 1 | 1 | 0 |
| La Salle | 1 | 1 | 0 |
| Guadalupe | 1 | 1 | 0 |
| Wheeler | 1 | 1 | 0 |
| Collingsworth | 1 | 1 | 0 |
| All districts (254) | 1,696 | 1,696 | 594 |
The Wine And Liquor stores database includes 1,696+ verified Wine And Liquor 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.
Patience (US) bought 1 day ago · Toney (US) bought 1 day ago · Gerardo (US) bought 2 days ago · Alexandro (US) bought 2 days ago · Nellie (AU) bought 6 days ago
There are roughly 1,696+ Wine And Liquor 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.
Data2Sales AI hosts the most up-to-date Wine And Liquor stores list for Texas, United States; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Per-row columns include Wine And Liquor 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.
We verify each Wine And Liquor entry against the brand's official locator, Google Places and our directory partners on a 30-day cycle. Anything closed or with a dead phone gets dropped before export, so the CSV is the live Texas, United States footprint, not last year's.
Yes. The Wine And Liquor 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 Wine And Liquor 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 Wine And Liquor stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
This World Wide Data list covers 1,696+ verified records operating in Texas, United States. Every entry is compiled by the Data2Sales AI engine from multiple verified sources, de-duplicated against our master index, and refreshed each month — saving sales, marketing, and research teams the manual cleanup normally needed before outreach.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Aug 09, 2026 05:45 AM
Published:
May 11, 2026 04:16 AM
Rows (Regular):
848
Rows (Extended):
1,696
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
