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This dataset covers 8,583 verified records spread across 254+ districts in Texas. 8,583 records carry a verified phone number and 3,004 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Kinney (1,403 listings), Gillespie (702 listings), San Saba (468 listings), Zapata (351 listings), Refugio (281 listings), Mason (234 listings), Tyler (200 listings), and Jeff Davis (175 listings).
Additional coverage spans Childress (156), Crosby (140), Stephens (128), Morris (117), Loving (108), Andrews (100), Sutton (94), Jim Wells (88), Schleicher (83), Grimes (78), Colorado (74), Blanco (70) , plus 234 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kinney | 1,403 | 1,403 | 491 |
| Gillespie | 702 | 702 | 246 |
| San Saba | 468 | 468 | 164 |
| Zapata | 351 | 351 | 123 |
| Refugio | 281 | 281 | 98 |
| Mason | 234 | 234 | 82 |
| Tyler | 200 | 200 | 70 |
| Jeff Davis | 175 | 175 | 61 |
| Childress | 156 | 156 | 55 |
| Crosby | 140 | 140 | 49 |
| All districts (254) | 8,583 | 8,583 | 3,004 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kinney | 1,403 | 1,403 | 491 |
| Gillespie | 702 | 702 | 246 |
| San Saba | 468 | 468 | 164 |
| Zapata | 351 | 351 | 123 |
| Refugio | 281 | 281 | 98 |
| Mason | 234 | 234 | 82 |
| Tyler | 200 | 200 | 70 |
| Jeff Davis | 175 | 175 | 61 |
| Childress | 156 | 156 | 55 |
| Crosby | 140 | 140 | 49 |
| Stephens | 128 | 128 | 45 |
| Morris | 117 | 117 | 41 |
| Loving | 108 | 108 | 38 |
| Andrews | 100 | 100 | 35 |
| Sutton | 94 | 94 | 33 |
| Jim Wells | 88 | 88 | 31 |
| Schleicher | 83 | 83 | 29 |
| Grimes | 78 | 78 | 27 |
| Colorado | 74 | 74 | 26 |
| Blanco | 70 | 70 | 25 |
| Young | 67 | 67 | 23 |
| Coke | 64 | 64 | 22 |
| Dallam | 61 | 61 | 21 |
| Erath | 58 | 58 | 20 |
| Limestone | 56 | 56 | 20 |
| Concho | 54 | 54 | 19 |
| Nolan | 52 | 52 | 18 |
| Ward | 50 | 50 | 18 |
| Falls | 48 | 48 | 17 |
| Atascosa | 47 | 47 | 16 |
| San Jacinto | 45 | 45 | 16 |
| Calhoun | 44 | 44 | 15 |
| Bastrop | 43 | 43 | 15 |
| Upshur | 41 | 41 | 14 |
| Hartley | 40 | 40 | 14 |
| Brazoria | 39 | 39 | 14 |
| Burleson | 38 | 38 | 13 |
| Camp | 37 | 37 | 13 |
| Mitchell | 36 | 36 | 13 |
| Wheeler | 35 | 35 | 12 |
| Gaines | 34 | 34 | 12 |
| Franklin | 33 | 33 | 12 |
| Borden | 33 | 33 | 12 |
| Comal | 32 | 32 | 11 |
| Cherokee | 31 | 31 | 11 |
| Comanche | 31 | 31 | 11 |
| Scurry | 30 | 30 | 11 |
| Tarrant | 29 | 29 | 10 |
| Dimmit | 29 | 29 | 10 |
| Navarro | 28 | 28 | 10 |
| Gonzales | 28 | 28 | 10 |
| Val Verde | 27 | 27 | 9 |
| Lipscomb | 26 | 26 | 9 |
| Culberson | 26 | 26 | 9 |
| Starr | 26 | 26 | 9 |
| Shelby | 25 | 25 | 9 |
| Howard | 25 | 25 | 9 |
| Willacy | 24 | 24 | 8 |
| Wise | 24 | 24 | 8 |
| Lee | 23 | 23 | 8 |
| Victoria | 23 | 23 | 8 |
| Jack | 23 | 23 | 8 |
| Somervell | 22 | 22 | 8 |
| Hockley | 22 | 22 | 8 |
| Chambers | 22 | 22 | 8 |
| Shackelford | 21 | 21 | 7 |
| Bosque | 21 | 21 | 7 |
| Callahan | 21 | 21 | 7 |
| Hays | 20 | 20 | 7 |
| Cameron | 20 | 20 | 7 |
| Bee | 20 | 20 | 7 |
| Oldham | 19 | 19 | 7 |
| King | 19 | 19 | 7 |
| Collingsworth | 19 | 19 | 7 |
| Coryell | 19 | 19 | 7 |
| San Patricio | 18 | 18 | 6 |
| Denton | 18 | 18 | 6 |
| Houston | 18 | 18 | 6 |
| Washington | 18 | 18 | 6 |
| Wichita | 18 | 18 | 6 |
| Nacogdoches | 17 | 17 | 6 |
| Potter | 17 | 17 | 6 |
| Williamson | 17 | 17 | 6 |
| Goliad | 17 | 17 | 6 |
| Dickens | 17 | 17 | 6 |
| Presidio | 16 | 16 | 6 |
| Reagan | 16 | 16 | 6 |
| Edwards | 16 | 16 | 6 |
| Madison | 16 | 16 | 6 |
| Brown | 16 | 16 | 6 |
| Caldwell | 15 | 15 | 5 |
| Armstrong | 15 | 15 | 5 |
| Live Oak | 15 | 15 | 5 |
| Crane | 15 | 15 | 5 |
| Floyd | 15 | 15 | 5 |
| Cass | 15 | 15 | 5 |
| Brazos | 14 | 14 | 5 |
| Bandera | 14 | 14 | 5 |
| Pecos | 14 | 14 | 5 |
| Briscoe | 14 | 14 | 5 |
| Midland | 14 | 14 | 5 |
| Glasscock | 14 | 14 | 5 |
| Hopkins | 14 | 14 | 5 |
| Gray | 13 | 13 | 5 |
| Taylor | 13 | 13 | 5 |
| Hamilton | 13 | 13 | 5 |
| Winkler | 13 | 13 | 5 |
| Motley | 13 | 13 | 5 |
| Sabine | 13 | 13 | 5 |
| Titus | 13 | 13 | 5 |
| Waller | 13 | 13 | 5 |
| Trinity | 13 | 13 | 5 |
| Donley | 12 | 12 | 4 |
| Menard | 12 | 12 | 4 |
| Walker | 12 | 12 | 4 |
| Matagorda | 12 | 12 | 4 |
| Sherman | 12 | 12 | 4 |
| El Paso | 12 | 12 | 4 |
| Hutchinson | 12 | 12 | 4 |
| Real | 12 | 12 | 4 |
| Angelina | 12 | 12 | 4 |
| Brewster | 12 | 12 | 4 |
| Henderson | 11 | 11 | 4 |
| Swisher | 11 | 11 | 4 |
| Cottle | 11 | 11 | 4 |
| Webb | 11 | 11 | 4 |
| Rusk | 11 | 11 | 4 |
| Medina | 11 | 11 | 4 |
| Bailey | 11 | 11 | 4 |
| Fisher | 11 | 11 | 4 |
| Uvalde | 11 | 11 | 4 |
| Rains | 11 | 11 | 4 |
| Jackson | 11 | 11 | 4 |
| Hardin | 10 | 10 | 4 |
| Ector | 10 | 10 | 4 |
| Lamb | 10 | 10 | 4 |
| McCulloch | 10 | 10 | 4 |
| Terrell | 10 | 10 | 4 |
| Bexar | 10 | 10 | 4 |
| Marion | 10 | 10 | 4 |
| Hidalgo | 10 | 10 | 4 |
| Dawson | 10 | 10 | 4 |
| Hale | 10 | 10 | 4 |
| Lampasas | 10 | 10 | 4 |
| Austin | 10 | 10 | 4 |
| Moore | 10 | 10 | 4 |
| Panola | 10 | 10 | 4 |
| Terry | 9 | 9 | 3 |
| Castro | 9 | 9 | 3 |
| Hardeman | 9 | 9 | 3 |
| Mills | 9 | 9 | 3 |
| DeWitt | 9 | 9 | 3 |
| Foard | 9 | 9 | 3 |
| Bell | 9 | 9 | 3 |
| Van Zandt | 9 | 9 | 3 |
| McLennan | 9 | 9 | 3 |
| Hansford | 9 | 9 | 3 |
| Delta | 9 | 9 | 3 |
| Montague | 9 | 9 | 3 |
| Carson | 9 | 9 | 3 |
| Cochran | 9 | 9 | 3 |
| Freestone | 9 | 9 | 3 |
| Tom Green | 9 | 9 | 3 |
| Duval | 9 | 9 | 3 |
| Bowie | 9 | 9 | 3 |
| Randall | 8 | 8 | 3 |
| Irion | 8 | 8 | 3 |
| Fannin | 8 | 8 | 3 |
| Hemphill | 8 | 8 | 3 |
| Zavala | 8 | 8 | 3 |
| San Augustine | 8 | 8 | 3 |
| Haskell | 8 | 8 | 3 |
| Lamar | 8 | 8 | 3 |
| Gregg | 8 | 8 | 3 |
| Fayette | 8 | 8 | 3 |
| Upton | 8 | 8 | 3 |
| Aransas | 8 | 8 | 3 |
| Llano | 8 | 8 | 3 |
| Crockett | 8 | 8 | 3 |
| Cooke | 8 | 8 | 3 |
| Eastland | 8 | 8 | 3 |
| Hudspeth | 8 | 8 | 3 |
| Kaufman | 8 | 8 | 3 |
| Lynn | 8 | 8 | 3 |
| Ochiltree | 8 | 8 | 3 |
| Wilson | 8 | 8 | 3 |
| Leon | 8 | 8 | 3 |
| Harrison | 7 | 7 | 2 |
| Baylor | 7 | 7 | 2 |
| Galveston | 7 | 7 | 2 |
| Kendall | 7 | 7 | 2 |
| Kent | 7 | 7 | 2 |
| Nueces | 7 | 7 | 2 |
| Karnes | 7 | 7 | 2 |
| Coleman | 7 | 7 | 2 |
| Jim Hogg | 7 | 7 | 2 |
| Yoakum | 7 | 7 | 2 |
| Smith | 7 | 7 | 2 |
| Rockwall | 7 | 7 | 2 |
| Martin | 7 | 7 | 2 |
| Throckmorton | 7 | 7 | 2 |
| Reeves | 7 | 7 | 2 |
| Hunt | 7 | 7 | 2 |
| Kerr | 7 | 7 | 2 |
| Guadalupe | 7 | 7 | 2 |
| Palo Pinto | 7 | 7 | 2 |
| Jasper | 7 | 7 | 2 |
| Jefferson | 7 | 7 | 2 |
| Wood | 7 | 7 | 2 |
| Anderson | 7 | 7 | 2 |
| Robertson | 7 | 7 | 2 |
| Jones | 7 | 7 | 2 |
| Runnels | 7 | 7 | 2 |
| Kimble | 7 | 7 | 2 |
| Kenedy | 7 | 7 | 2 |
| Newton | 6 | 6 | 2 |
| Milam | 6 | 6 | 2 |
| Hood | 6 | 6 | 2 |
| Parker | 6 | 6 | 2 |
| Parmer | 6 | 6 | 2 |
| Knox | 6 | 6 | 2 |
| Archer | 6 | 6 | 2 |
| Deaf Smith | 6 | 6 | 2 |
| Garza | 6 | 6 | 2 |
| Grayson | 6 | 6 | 2 |
| Montgomery | 6 | 6 | 2 |
| Dallas | 6 | 6 | 2 |
| Wilbarger | 6 | 6 | 2 |
| Travis | 6 | 6 | 2 |
| Ellis | 6 | 6 | 2 |
| Frio | 6 | 6 | 2 |
| La Salle | 6 | 6 | 2 |
| Collin | 6 | 6 | 2 |
| Burnet | 6 | 6 | 2 |
| Maverick | 6 | 6 | 2 |
| Kleberg | 6 | 6 | 2 |
| Clay | 6 | 6 | 2 |
| Lubbock | 6 | 6 | 2 |
| Stonewall | 6 | 6 | 2 |
| Red River | 6 | 6 | 2 |
| Wharton | 6 | 6 | 2 |
| Hall | 6 | 6 | 2 |
| Sterling | 6 | 6 | 2 |
| Polk | 6 | 6 | 2 |
| Hill | 6 | 6 | 2 |
| McMullen | 6 | 6 | 2 |
| Orange | 6 | 6 | 2 |
| Fort Bend | 6 | 6 | 2 |
| Johnson | 6 | 6 | 2 |
| Harris | 6 | 6 | 2 |
| Lavaca | 6 | 6 | 2 |
| Roberts | 6 | 6 | 2 |
| Liberty | 6 | 6 | 2 |
| Brooks | 1 | 1 | 0 |
| All districts (254) | 8,583 | 8,583 | 3,004 |
The Pet Grooming Salons database for Texas, United States includes 8,583+ verified businesses with company name, address, city, state, phone, email, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
The Pet Grooming Salons database for Texas, United States contains 8,583+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.
The complete Pet Grooming Salons database for Texas, United States is available on this page from Data2Sales AI as an instant CSV download. Every record carries verified contact details and is delivered immediately after checkout.
Each record includes: Business name, Street address, City, State / Region, Postal code, Country, Phone number, Email address and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
Every record is cross-referenced across public business registries, Google Maps and licensed directory partners before it ships. Closed businesses, disconnected phones and duplicates are stripped on every monthly refresh, so the dataset reflects the live pet grooming salons footprint in Texas, United States.
Yes. The Pet Grooming Salons dataset is rebuilt on a rolling 30-day cycle. New entrants come in through registrar filings; closures are detected from negative signals and dropped before export.
Yes — the dataset is licensed for commercial use after purchase. Common use cases include cold outbound, geo-targeted advertising, market research, supplier sourcing and territory planning. Only publicly listed business contact information is included.
You receive a UTF-8 encoded CSV. It opens in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request.
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Looking to reach world wide data decision-makers in Texas, United States? This database aggregates 8,583+ verified records through the Data2Sales AI engine, pulling from verified public registries, official websites, social profiles, and licensed data partners. Dead numbers, closed storefronts, and duplicates are stripped before export — you receive a clean, CRM-ready CSV.
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:
Jul 06, 2026 11:57 AM
Rows (Regular):
4,292
Rows (Extended):
8,583
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
