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This dataset covers 9,916 verified records spread across 254+ districts in Texas. 9,916 records carry a verified phone number and 3,471 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Cottle (1,621 listings), Nacogdoches (811 listings), Medina (540 listings), Bailey (405 listings), Hardin (324 listings), Coleman (270 listings), Kendall (232 listings), and Uvalde (203 listings).
Additional coverage spans Fisher (180), Presidio (162), Floyd (147), Crane (135), Marion (125), Real (116), Dawson (108), Gillespie (101), Caldwell (95), Pecos (90), Jeff Davis (85), Cass (81) , plus 234 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Cottle | 1,621 | 1,621 | 567 |
| Nacogdoches | 811 | 811 | 284 |
| Medina | 540 | 540 | 189 |
| Bailey | 405 | 405 | 142 |
| Hardin | 324 | 324 | 113 |
| Coleman | 270 | 270 | 95 |
| Kendall | 232 | 232 | 81 |
| Uvalde | 203 | 203 | 71 |
| Fisher | 180 | 180 | 63 |
| Presidio | 162 | 162 | 57 |
| All districts (254) | 9,916 | 9,916 | 3,471 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Cottle | 1,621 | 1,621 | 567 |
| Nacogdoches | 811 | 811 | 284 |
| Medina | 540 | 540 | 189 |
| Bailey | 405 | 405 | 142 |
| Hardin | 324 | 324 | 113 |
| Coleman | 270 | 270 | 95 |
| Kendall | 232 | 232 | 81 |
| Uvalde | 203 | 203 | 71 |
| Fisher | 180 | 180 | 63 |
| Presidio | 162 | 162 | 57 |
| Floyd | 147 | 147 | 51 |
| Crane | 135 | 135 | 47 |
| Marion | 125 | 125 | 44 |
| Real | 116 | 116 | 41 |
| Dawson | 108 | 108 | 38 |
| Gillespie | 101 | 101 | 35 |
| Caldwell | 95 | 95 | 33 |
| Pecos | 90 | 90 | 32 |
| Jeff Davis | 85 | 85 | 30 |
| Cass | 81 | 81 | 28 |
| Panola | 77 | 77 | 27 |
| Austin | 74 | 74 | 26 |
| Runnels | 70 | 70 | 25 |
| Childress | 68 | 68 | 24 |
| Castro | 65 | 65 | 23 |
| Schleicher | 62 | 62 | 22 |
| Victoria | 60 | 60 | 21 |
| Chambers | 58 | 58 | 20 |
| Jim Wells | 56 | 56 | 20 |
| Gray | 54 | 54 | 19 |
| Callahan | 52 | 52 | 18 |
| Titus | 51 | 51 | 18 |
| DeWitt | 49 | 49 | 17 |
| Shackelford | 48 | 48 | 17 |
| Carson | 46 | 46 | 16 |
| Limestone | 45 | 45 | 16 |
| Grayson | 44 | 44 | 15 |
| Fannin | 43 | 43 | 15 |
| Starr | 42 | 42 | 15 |
| Angelina | 41 | 41 | 14 |
| Zavala | 40 | 40 | 14 |
| Brewster | 39 | 39 | 14 |
| Live Oak | 38 | 38 | 13 |
| Brown | 37 | 37 | 13 |
| Lubbock | 36 | 36 | 13 |
| Wharton | 35 | 35 | 12 |
| Jack | 34 | 34 | 12 |
| Wise | 34 | 34 | 12 |
| Kleberg | 33 | 33 | 12 |
| Collingsworth | 32 | 32 | 11 |
| Roberts | 32 | 32 | 11 |
| Wilson | 31 | 31 | 11 |
| Liberty | 31 | 31 | 11 |
| Johnson | 30 | 30 | 11 |
| Culberson | 29 | 29 | 10 |
| Hays | 29 | 29 | 10 |
| Hamilton | 28 | 28 | 10 |
| Val Verde | 28 | 28 | 10 |
| King | 27 | 27 | 9 |
| Baylor | 27 | 27 | 9 |
| Nueces | 27 | 27 | 9 |
| Karnes | 26 | 26 | 9 |
| Jackson | 26 | 26 | 9 |
| Stephens | 25 | 25 | 9 |
| Terrell | 25 | 25 | 9 |
| Yoakum | 25 | 25 | 9 |
| Somervell | 24 | 24 | 8 |
| Swisher | 24 | 24 | 8 |
| Erath | 23 | 23 | 8 |
| Martin | 23 | 23 | 8 |
| Colorado | 23 | 23 | 8 |
| Nolan | 23 | 23 | 8 |
| Falls | 22 | 22 | 8 |
| Reeves | 22 | 22 | 8 |
| Hidalgo | 22 | 22 | 8 |
| Jasper | 21 | 21 | 7 |
| Williamson | 21 | 21 | 7 |
| Kimble | 21 | 21 | 7 |
| Ward | 21 | 21 | 7 |
| Washington | 20 | 20 | 7 |
| Parker | 20 | 20 | 7 |
| San Saba | 20 | 20 | 7 |
| Kenedy | 20 | 20 | 7 |
| Newton | 19 | 19 | 7 |
| Comal | 19 | 19 | 7 |
| Parmer | 19 | 19 | 7 |
| Archer | 19 | 19 | 7 |
| Camp | 18 | 18 | 6 |
| Armstrong | 18 | 18 | 6 |
| San Patricio | 18 | 18 | 6 |
| Franklin | 18 | 18 | 6 |
| Cochran | 18 | 18 | 6 |
| Tyler | 17 | 17 | 6 |
| Glasscock | 17 | 17 | 6 |
| Mason | 17 | 17 | 6 |
| Cherokee | 17 | 17 | 6 |
| Dallas | 17 | 17 | 6 |
| Travis | 17 | 17 | 6 |
| Haskell | 16 | 16 | 6 |
| Comanche | 16 | 16 | 6 |
| Gonzales | 16 | 16 | 6 |
| Burnet | 16 | 16 | 6 |
| Coke | 16 | 16 | 6 |
| Lipscomb | 16 | 16 | 6 |
| Randall | 15 | 15 | 5 |
| Collin | 15 | 15 | 5 |
| San Jacinto | 15 | 15 | 5 |
| Kaufman | 15 | 15 | 5 |
| Matagorda | 15 | 15 | 5 |
| Atascosa | 15 | 15 | 5 |
| Young | 15 | 15 | 5 |
| Fayette | 14 | 14 | 5 |
| Aransas | 14 | 14 | 5 |
| Orange | 14 | 14 | 5 |
| Hutchinson | 14 | 14 | 5 |
| Brazoria | 14 | 14 | 5 |
| Lavaca | 14 | 14 | 5 |
| Burleson | 14 | 14 | 5 |
| Brooks | 14 | 14 | 5 |
| Mitchell | 14 | 14 | 5 |
| Harris | 13 | 13 | 5 |
| Clay | 13 | 13 | 5 |
| Hockley | 13 | 13 | 5 |
| Henderson | 13 | 13 | 5 |
| Anderson | 13 | 13 | 5 |
| McCulloch | 13 | 13 | 5 |
| Ellis | 13 | 13 | 5 |
| Willacy | 13 | 13 | 5 |
| Polk | 13 | 13 | 5 |
| Hall | 12 | 12 | 4 |
| Zapata | 12 | 12 | 4 |
| Garza | 12 | 12 | 4 |
| Hill | 12 | 12 | 4 |
| Kinney | 12 | 12 | 4 |
| Cameron | 12 | 12 | 4 |
| Morris | 12 | 12 | 4 |
| Wichita | 12 | 12 | 4 |
| Loving | 12 | 12 | 4 |
| Houston | 12 | 12 | 4 |
| Crosby | 12 | 12 | 4 |
| Coryell | 11 | 11 | 4 |
| Grimes | 11 | 11 | 4 |
| Sutton | 11 | 11 | 4 |
| Jim Hogg | 11 | 11 | 4 |
| Rockwall | 11 | 11 | 4 |
| Van Zandt | 11 | 11 | 4 |
| Dallam | 11 | 11 | 4 |
| Frio | 11 | 11 | 4 |
| Madison | 11 | 11 | 4 |
| Edwards | 11 | 11 | 4 |
| Dickens | 11 | 11 | 4 |
| Blanco | 11 | 11 | 4 |
| Concho | 11 | 11 | 4 |
| Wood | 11 | 11 | 4 |
| Midland | 10 | 10 | 4 |
| Maverick | 10 | 10 | 4 |
| Smith | 10 | 10 | 4 |
| Hopkins | 10 | 10 | 4 |
| Briscoe | 10 | 10 | 4 |
| Tom Green | 10 | 10 | 4 |
| Bandera | 10 | 10 | 4 |
| Upshur | 10 | 10 | 4 |
| Freestone | 10 | 10 | 4 |
| Sterling | 10 | 10 | 4 |
| Hood | 10 | 10 | 4 |
| McMullen | 10 | 10 | 4 |
| Winkler | 10 | 10 | 4 |
| Knox | 10 | 10 | 4 |
| Milam | 10 | 10 | 4 |
| Gaines | 10 | 10 | 4 |
| Kent | 9 | 9 | 3 |
| Trinity | 9 | 9 | 3 |
| Borden | 9 | 9 | 3 |
| Scurry | 9 | 9 | 3 |
| Dimmit | 9 | 9 | 3 |
| Ochiltree | 9 | 9 | 3 |
| Jones | 9 | 9 | 3 |
| Galveston | 9 | 9 | 3 |
| Kerr | 9 | 9 | 3 |
| El Paso | 9 | 9 | 3 |
| La Salle | 9 | 9 | 3 |
| Hunt | 9 | 9 | 3 |
| Sherman | 9 | 9 | 3 |
| Bowie | 9 | 9 | 3 |
| Duval | 9 | 9 | 3 |
| Howard | 9 | 9 | 3 |
| Irion | 9 | 9 | 3 |
| Shelby | 9 | 9 | 3 |
| Lamar | 9 | 9 | 3 |
| Gregg | 9 | 9 | 3 |
| Bee | 8 | 8 | 3 |
| Lynn | 8 | 8 | 3 |
| Hardeman | 8 | 8 | 3 |
| Bosque | 8 | 8 | 3 |
| Delta | 8 | 8 | 3 |
| Leon | 8 | 8 | 3 |
| Oldham | 8 | 8 | 3 |
| Lee | 8 | 8 | 3 |
| Refugio | 8 | 8 | 3 |
| Palo Pinto | 8 | 8 | 3 |
| Guadalupe | 8 | 8 | 3 |
| McLennan | 8 | 8 | 3 |
| Robertson | 8 | 8 | 3 |
| Jefferson | 8 | 8 | 3 |
| Potter | 8 | 8 | 3 |
| Andrews | 8 | 8 | 3 |
| Denton | 8 | 8 | 3 |
| Upton | 8 | 8 | 3 |
| Goliad | 8 | 8 | 3 |
| San Augustine | 8 | 8 | 3 |
| Llano | 8 | 8 | 3 |
| Reagan | 8 | 8 | 3 |
| Cooke | 8 | 8 | 3 |
| Lampasas | 8 | 8 | 3 |
| Bastrop | 8 | 8 | 3 |
| Montgomery | 8 | 8 | 3 |
| Calhoun | 7 | 7 | 2 |
| Deaf Smith | 7 | 7 | 2 |
| Brazos | 7 | 7 | 2 |
| Eastland | 7 | 7 | 2 |
| Hudspeth | 7 | 7 | 2 |
| Crockett | 7 | 7 | 2 |
| Wilbarger | 7 | 7 | 2 |
| Harrison | 7 | 7 | 2 |
| Taylor | 7 | 7 | 2 |
| Rains | 7 | 7 | 2 |
| Hartley | 7 | 7 | 2 |
| Sabine | 7 | 7 | 2 |
| Ector | 7 | 7 | 2 |
| Bexar | 7 | 7 | 2 |
| Bell | 7 | 7 | 2 |
| Motley | 7 | 7 | 2 |
| Montague | 7 | 7 | 2 |
| Rusk | 7 | 7 | 2 |
| Waller | 7 | 7 | 2 |
| Hansford | 7 | 7 | 2 |
| Webb | 7 | 7 | 2 |
| Foard | 7 | 7 | 2 |
| Menard | 7 | 7 | 2 |
| Walker | 7 | 7 | 2 |
| Lamb | 7 | 7 | 2 |
| Red River | 7 | 7 | 2 |
| Donley | 7 | 7 | 2 |
| Wheeler | 7 | 7 | 2 |
| Stonewall | 7 | 7 | 2 |
| Moore | 7 | 7 | 2 |
| Fort Bend | 7 | 7 | 2 |
| Terry | 7 | 7 | 2 |
| Hemphill | 7 | 7 | 2 |
| Navarro | 6 | 6 | 2 |
| Tarrant | 6 | 6 | 2 |
| Hale | 6 | 6 | 2 |
| Throckmorton | 6 | 6 | 2 |
| Mills | 5 | 5 | 2 |
| All districts (254) | 9,916 | 9,916 | 3,471 |
The Plumbers database for Texas, United States includes 9,916+ 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 Plumbers database for Texas, United States contains 9,916+ 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 Plumbers 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 plumbers footprint in Texas, United States.
Yes. The Plumbers 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.
This World Wide Data list covers 9,916+ 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:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 04:16 AM
Rows (Regular):
4,462
Rows (Extended):
9,916
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
