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This dataset covers 4,298 verified records spread across 254+ districts in Texas. 4,298 records carry a verified phone number and 1,504 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Hunt (703 listings), Falls (351 listings), Kerr (234 listings), Howard (176 listings), Shelby (141 listings), Nolan (117 listings), Jim Hogg (100 listings), and Erath (88 listings).
Additional coverage spans Culberson (78), Montgomery (70), Rockwall (64), Val Verde (59), Deaf Smith (54), Oldham (50), Kent (47), San Augustine (44), Bosque (41), Knox (39), Anderson (37), Denton (35) , plus 234 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Hunt | 703 | 703 | 246 |
| Falls | 351 | 351 | 123 |
| Kerr | 234 | 234 | 82 |
| Howard | 176 | 176 | 62 |
| Shelby | 141 | 141 | 49 |
| Nolan | 117 | 117 | 41 |
| Jim Hogg | 100 | 100 | 35 |
| Erath | 88 | 88 | 31 |
| Culberson | 78 | 78 | 27 |
| Montgomery | 70 | 70 | 25 |
| All districts (254) | 4,298 | 4,298 | 1,504 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Hunt | 703 | 703 | 246 |
| Falls | 351 | 351 | 123 |
| Kerr | 234 | 234 | 82 |
| Howard | 176 | 176 | 62 |
| Shelby | 141 | 141 | 49 |
| Nolan | 117 | 117 | 41 |
| Jim Hogg | 100 | 100 | 35 |
| Erath | 88 | 88 | 31 |
| Culberson | 78 | 78 | 27 |
| Montgomery | 70 | 70 | 25 |
| Rockwall | 64 | 64 | 22 |
| Val Verde | 59 | 59 | 21 |
| Deaf Smith | 54 | 54 | 19 |
| Oldham | 50 | 50 | 18 |
| Kent | 47 | 47 | 16 |
| San Augustine | 44 | 44 | 15 |
| Bosque | 41 | 41 | 14 |
| Knox | 39 | 39 | 14 |
| Anderson | 37 | 37 | 13 |
| Denton | 35 | 35 | 12 |
| Hidalgo | 33 | 33 | 12 |
| Potter | 32 | 32 | 11 |
| Comal | 31 | 31 | 11 |
| Limestone | 29 | 29 | 10 |
| Hood | 28 | 28 | 10 |
| Swisher | 27 | 27 | 9 |
| Reagan | 26 | 26 | 9 |
| Jackson | 25 | 25 | 9 |
| Terrell | 24 | 24 | 8 |
| Goliad | 23 | 23 | 8 |
| Wood | 23 | 23 | 8 |
| Jim Wells | 22 | 22 | 8 |
| Frio | 21 | 21 | 7 |
| Palo Pinto | 21 | 21 | 7 |
| Brazos | 20 | 20 | 7 |
| San Patricio | 20 | 20 | 7 |
| Childress | 19 | 19 | 7 |
| Motley | 18 | 18 | 6 |
| Mason | 18 | 18 | 6 |
| Fayette | 18 | 18 | 6 |
| Sabine | 17 | 17 | 6 |
| Aransas | 17 | 17 | 6 |
| Tyler | 16 | 16 | 6 |
| Taylor | 16 | 16 | 6 |
| Kaufman | 16 | 16 | 6 |
| La Salle | 15 | 15 | 5 |
| Donley | 15 | 15 | 5 |
| Walker | 15 | 15 | 5 |
| Randall | 14 | 14 | 5 |
| Menard | 14 | 14 | 5 |
| Maverick | 14 | 14 | 5 |
| Sterling | 14 | 14 | 5 |
| Haskell | 13 | 13 | 5 |
| Hill | 13 | 13 | 5 |
| Waller | 13 | 13 | 5 |
| Hall | 13 | 13 | 5 |
| Polk | 12 | 12 | 4 |
| McMullen | 12 | 12 | 4 |
| Young | 12 | 12 | 4 |
| Cochran | 12 | 12 | 4 |
| Clay | 12 | 12 | 4 |
| Gillespie | 11 | 11 | 4 |
| Matagorda | 11 | 11 | 4 |
| Hale | 11 | 11 | 4 |
| Pecos | 11 | 11 | 4 |
| Crane | 11 | 11 | 4 |
| Floyd | 10 | 10 | 4 |
| Lamb | 10 | 10 | 4 |
| Lampasas | 10 | 10 | 4 |
| Kinney | 10 | 10 | 4 |
| Webb | 10 | 10 | 4 |
| Zapata | 10 | 10 | 4 |
| Runnels | 10 | 10 | 4 |
| Rusk | 9 | 9 | 3 |
| Bell | 9 | 9 | 3 |
| Sutton | 9 | 9 | 3 |
| Glasscock | 9 | 9 | 3 |
| Grimes | 9 | 9 | 3 |
| Titus | 9 | 9 | 3 |
| Crosby | 9 | 9 | 3 |
| Hardeman | 9 | 9 | 3 |
| Loving | 9 | 9 | 3 |
| Morris | 8 | 8 | 3 |
| Blanco | 8 | 8 | 3 |
| Coleman | 8 | 8 | 3 |
| Dallam | 8 | 8 | 3 |
| Kendall | 8 | 8 | 3 |
| McLennan | 8 | 8 | 3 |
| Upshur | 8 | 8 | 3 |
| Montague | 8 | 8 | 3 |
| Hansford | 8 | 8 | 3 |
| Roberts | 8 | 8 | 3 |
| Liberty | 8 | 8 | 3 |
| Johnson | 7 | 7 | 2 |
| Starr | 7 | 7 | 2 |
| Concho | 7 | 7 | 2 |
| Hemphill | 7 | 7 | 2 |
| Kleberg | 7 | 7 | 2 |
| Armstrong | 7 | 7 | 2 |
| Lubbock | 7 | 7 | 2 |
| Wharton | 7 | 7 | 2 |
| Borden | 7 | 7 | 2 |
| Somervell | 7 | 7 | 2 |
| Leon | 7 | 7 | 2 |
| Eastland | 7 | 7 | 2 |
| Hudspeth | 7 | 7 | 2 |
| Crockett | 7 | 7 | 2 |
| Gaines | 7 | 7 | 2 |
| Harrison | 6 | 6 | 2 |
| Grayson | 6 | 6 | 2 |
| Lynn | 6 | 6 | 2 |
| Brown | 6 | 6 | 2 |
| Dimmit | 6 | 6 | 2 |
| Scurry | 6 | 6 | 2 |
| King | 6 | 6 | 2 |
| Hays | 6 | 6 | 2 |
| Yoakum | 6 | 6 | 2 |
| Chambers | 6 | 6 | 2 |
| Delta | 6 | 6 | 2 |
| Victoria | 6 | 6 | 2 |
| Karnes | 6 | 6 | 2 |
| Nueces | 6 | 6 | 2 |
| Callahan | 6 | 6 | 2 |
| Galveston | 6 | 6 | 2 |
| Andrews | 6 | 6 | 2 |
| Reeves | 6 | 6 | 2 |
| Wise | 6 | 6 | 2 |
| Lamar | 5 | 5 | 2 |
| Gregg | 5 | 5 | 2 |
| Jack | 5 | 5 | 2 |
| Irion | 5 | 5 | 2 |
| Duval | 5 | 5 | 2 |
| Bowie | 5 | 5 | 2 |
| Ochiltree | 5 | 5 | 2 |
| Martin | 5 | 5 | 2 |
| Tom Green | 5 | 5 | 2 |
| Refugio | 5 | 5 | 2 |
| Hutchinson | 5 | 5 | 2 |
| Freestone | 5 | 5 | 2 |
| Kimble | 5 | 5 | 2 |
| Cooke | 5 | 5 | 2 |
| Llano | 5 | 5 | 2 |
| Jasper | 5 | 5 | 2 |
| Upton | 5 | 5 | 2 |
| Presidio | 5 | 5 | 2 |
| Archer | 5 | 5 | 2 |
| Parmer | 5 | 5 | 2 |
| Newton | 5 | 5 | 2 |
| Kenedy | 5 | 5 | 2 |
| Caldwell | 5 | 5 | 2 |
| Parker | 5 | 5 | 2 |
| Tarrant | 5 | 5 | 2 |
| Ector | 5 | 5 | 2 |
| Dallas | 5 | 5 | 2 |
| Nacogdoches | 5 | 5 | 2 |
| Bexar | 5 | 5 | 2 |
| Live Oak | 4 | 4 | 1 |
| Rains | 4 | 4 | 1 |
| Gray | 4 | 4 | 1 |
| Navarro | 4 | 4 | 1 |
| Van Zandt | 4 | 4 | 1 |
| Collin | 4 | 4 | 1 |
| Burnet | 4 | 4 | 1 |
| Wheeler | 4 | 4 | 1 |
| Travis | 4 | 4 | 1 |
| Hamilton | 4 | 4 | 1 |
| Cass | 4 | 4 | 1 |
| McCulloch | 4 | 4 | 1 |
| Mills | 4 | 4 | 1 |
| Hartley | 4 | 4 | 1 |
| Real | 4 | 4 | 1 |
| Terry | 4 | 4 | 1 |
| Moore | 4 | 4 | 1 |
| Henderson | 4 | 4 | 1 |
| Harris | 4 | 4 | 1 |
| Brooks | 4 | 4 | 1 |
| Throckmorton | 4 | 4 | 1 |
| Lavaca | 4 | 4 | 1 |
| Bastrop | 4 | 4 | 1 |
| Calhoun | 4 | 4 | 1 |
| Foard | 4 | 4 | 1 |
| Williamson | 4 | 4 | 1 |
| Brewster | 4 | 4 | 1 |
| Shackelford | 4 | 4 | 1 |
| Angelina | 4 | 4 | 1 |
| Orange | 4 | 4 | 1 |
| Washington | 4 | 4 | 1 |
| Uvalde | 4 | 4 | 1 |
| Fisher | 4 | 4 | 1 |
| Madison | 4 | 4 | 1 |
| Edwards | 4 | 4 | 1 |
| Dickens | 4 | 4 | 1 |
| Red River | 4 | 4 | 1 |
| Stonewall | 4 | 4 | 1 |
| Hardin | 4 | 4 | 1 |
| Bailey | 4 | 4 | 1 |
| Medina | 4 | 4 | 1 |
| Cottle | 4 | 4 | 1 |
| Garza | 4 | 4 | 1 |
| Coryell | 4 | 4 | 1 |
| Milam | 4 | 4 | 1 |
| Ellis | 3 | 3 | 1 |
| San Saba | 3 | 3 | 1 |
| Wichita | 3 | 3 | 1 |
| Fort Bend | 3 | 3 | 1 |
| Dawson | 3 | 3 | 1 |
| Marion | 3 | 3 | 1 |
| Houston | 3 | 3 | 1 |
| Wilbarger | 3 | 3 | 1 |
| San Jacinto | 3 | 3 | 1 |
| Stephens | 3 | 3 | 1 |
| Coke | 3 | 3 | 1 |
| Castro | 3 | 3 | 1 |
| Austin | 3 | 3 | 1 |
| Panola | 3 | 3 | 1 |
| Cameron | 3 | 3 | 1 |
| Colorado | 3 | 3 | 1 |
| Willacy | 3 | 3 | 1 |
| DeWitt | 3 | 3 | 1 |
| Hockley | 3 | 3 | 1 |
| El Paso | 3 | 3 | 1 |
| Lee | 3 | 3 | 1 |
| Camp | 3 | 3 | 1 |
| Sherman | 3 | 3 | 1 |
| Robertson | 3 | 3 | 1 |
| Jeff Davis | 3 | 3 | 1 |
| Carson | 3 | 3 | 1 |
| Atascosa | 3 | 3 | 1 |
| Jefferson | 3 | 3 | 1 |
| Trinity | 3 | 3 | 1 |
| Brazoria | 3 | 3 | 1 |
| Zavala | 3 | 3 | 1 |
| Ward | 3 | 3 | 1 |
| Bee | 3 | 3 | 1 |
| Mitchell | 3 | 3 | 1 |
| Collingsworth | 3 | 3 | 1 |
| Fannin | 3 | 3 | 1 |
| Smith | 3 | 3 | 1 |
| Burleson | 3 | 3 | 1 |
| Franklin | 3 | 3 | 1 |
| Cherokee | 3 | 3 | 1 |
| Jones | 3 | 3 | 1 |
| Winkler | 3 | 3 | 1 |
| Bandera | 3 | 3 | 1 |
| Baylor | 3 | 3 | 1 |
| Guadalupe | 3 | 3 | 1 |
| Comanche | 3 | 3 | 1 |
| Schleicher | 3 | 3 | 1 |
| Midland | 3 | 3 | 1 |
| Hopkins | 3 | 3 | 1 |
| Gonzales | 3 | 3 | 1 |
| Lipscomb | 3 | 3 | 1 |
| Briscoe | 3 | 3 | 1 |
| Wilson | 3 | 3 | 1 |
| All districts (254) | 4,298 | 4,298 | 1,504 |
The Medical stores database includes 4,298+ verified Medical 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 Medical footprint in Texas, United States sits at about 4,298+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
The complete Medical stores database for Texas, United States is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Medical location with address, phone, hours, website and GPS coordinates.
The CSV ships with one row per Medical location, columns covering Medical store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL plus website, opening-hours window, ratings and review counts. UTF-8 encoded — imports cleanly into HubSpot, Salesforce, Zoho or any CRM.
Each Medical row goes through phone validation, address cross-check against Google Maps and a check against the official Medical Texas, United States locator. Records that fail any of those drop before you ever see them.
Yes. The Medical 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 Medical 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 Medical 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 4,298+ 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:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 04:16 AM
Rows (Regular):
1,934
Rows (Extended):
4,298
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
