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This dataset covers 7,468 verified records spread across 254+ districts in Texas. 7,468 records carry a verified phone number and 2,614 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Montgomery (1,221 listings), Hudspeth (610 listings), Eastland (407 listings), Reagan (305 listings), Goliad (244 listings), Deaf Smith (203 listings), Crockett (174 listings), and Smith (153 listings).
Additional coverage spans Wise (136), Runnels (122), Jack (111), Gillespie (102), Potter (94), Hays (87), Harrison (81), Denton (76), King (72), Bosque (68), Kendall (64), Milam (61) , plus 234 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Montgomery | 1,221 | 1,221 | 427 |
| Hudspeth | 610 | 610 | 214 |
| Eastland | 407 | 407 | 142 |
| Reagan | 305 | 305 | 107 |
| Goliad | 244 | 244 | 85 |
| Deaf Smith | 203 | 203 | 71 |
| Crockett | 174 | 174 | 61 |
| Smith | 153 | 153 | 54 |
| Wise | 136 | 136 | 48 |
| Runnels | 122 | 122 | 43 |
| All districts (254) | 7,468 | 7,468 | 2,614 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Montgomery | 1,221 | 1,221 | 427 |
| Hudspeth | 610 | 610 | 214 |
| Eastland | 407 | 407 | 142 |
| Reagan | 305 | 305 | 107 |
| Goliad | 244 | 244 | 85 |
| Deaf Smith | 203 | 203 | 71 |
| Crockett | 174 | 174 | 61 |
| Smith | 153 | 153 | 54 |
| Wise | 136 | 136 | 48 |
| Runnels | 122 | 122 | 43 |
| Jack | 111 | 111 | 39 |
| Gillespie | 102 | 102 | 36 |
| Potter | 94 | 94 | 33 |
| Hays | 87 | 87 | 30 |
| Harrison | 81 | 81 | 28 |
| Denton | 76 | 76 | 27 |
| King | 72 | 72 | 25 |
| Bosque | 68 | 68 | 24 |
| Kendall | 64 | 64 | 22 |
| Milam | 61 | 61 | 21 |
| Coleman | 58 | 58 | 20 |
| Oldham | 55 | 55 | 19 |
| Montague | 53 | 53 | 19 |
| Hansford | 51 | 51 | 18 |
| Jones | 49 | 49 | 17 |
| Shelby | 47 | 47 | 16 |
| Howard | 45 | 45 | 16 |
| Jim Wells | 44 | 44 | 15 |
| Hemphill | 42 | 42 | 15 |
| Childress | 41 | 41 | 14 |
| Kleberg | 39 | 39 | 14 |
| Cass | 38 | 38 | 13 |
| Hardeman | 37 | 37 | 13 |
| Wharton | 36 | 36 | 13 |
| Nacogdoches | 35 | 35 | 12 |
| Lubbock | 34 | 34 | 12 |
| Ellis | 33 | 33 | 12 |
| Gray | 32 | 32 | 11 |
| McLennan | 31 | 31 | 11 |
| Waller | 31 | 31 | 11 |
| Garza | 30 | 30 | 11 |
| Walker | 29 | 29 | 10 |
| Palo Pinto | 28 | 28 | 10 |
| Johnson | 28 | 28 | 10 |
| Menard | 27 | 27 | 9 |
| Limestone | 27 | 27 | 9 |
| Donley | 26 | 26 | 9 |
| Liberty | 25 | 25 | 9 |
| Roberts | 25 | 25 | 9 |
| Culberson | 24 | 24 | 8 |
| Taylor | 24 | 24 | 8 |
| Val Verde | 23 | 23 | 8 |
| Grayson | 23 | 23 | 8 |
| Sabine | 23 | 23 | 8 |
| Motley | 22 | 22 | 8 |
| Lampasas | 22 | 22 | 8 |
| Shackelford | 21 | 21 | 7 |
| Brazos | 21 | 21 | 7 |
| Real | 21 | 21 | 7 |
| Sterling | 20 | 20 | 7 |
| San Augustine | 20 | 20 | 7 |
| Dallam | 20 | 20 | 7 |
| Blanco | 19 | 19 | 7 |
| Maverick | 19 | 19 | 7 |
| Loving | 19 | 19 | 7 |
| Morris | 18 | 18 | 6 |
| Somervell | 18 | 18 | 6 |
| Crosby | 18 | 18 | 6 |
| Grimes | 18 | 18 | 6 |
| Ector | 17 | 17 | 6 |
| Bexar | 17 | 17 | 6 |
| Rains | 17 | 17 | 6 |
| Sutton | 17 | 17 | 6 |
| McMullen | 16 | 16 | 6 |
| Foard | 16 | 16 | 6 |
| Zapata | 16 | 16 | 6 |
| Swisher | 16 | 16 | 6 |
| Armstrong | 16 | 16 | 6 |
| Kinney | 15 | 15 | 5 |
| Terrell | 15 | 15 | 5 |
| San Jacinto | 15 | 15 | 5 |
| Jackson | 15 | 15 | 5 |
| Terry | 15 | 15 | 5 |
| Hidalgo | 15 | 15 | 5 |
| Moore | 14 | 14 | 5 |
| La Salle | 14 | 14 | 5 |
| Coke | 14 | 14 | 5 |
| Mills | 14 | 14 | 5 |
| Dimmit | 14 | 14 | 5 |
| Aransas | 14 | 14 | 5 |
| Scurry | 13 | 13 | 5 |
| Fayette | 13 | 13 | 5 |
| Irion | 13 | 13 | 5 |
| Bowie | 13 | 13 | 5 |
| Duval | 13 | 13 | 5 |
| Ward | 13 | 13 | 5 |
| Kaufman | 13 | 13 | 5 |
| Anderson | 12 | 12 | 4 |
| Lamar | 12 | 12 | 4 |
| Gregg | 12 | 12 | 4 |
| Gaines | 12 | 12 | 4 |
| Glasscock | 12 | 12 | 4 |
| Delta | 12 | 12 | 4 |
| Camp | 12 | 12 | 4 |
| Borden | 12 | 12 | 4 |
| Jim Hogg | 12 | 12 | 4 |
| Cochran | 11 | 11 | 4 |
| Matagorda | 11 | 11 | 4 |
| Concho | 11 | 11 | 4 |
| Randall | 11 | 11 | 4 |
| Llano | 11 | 11 | 4 |
| Throckmorton | 11 | 11 | 4 |
| Upton | 11 | 11 | 4 |
| Upshur | 11 | 11 | 4 |
| Haskell | 11 | 11 | 4 |
| Cooke | 11 | 11 | 4 |
| Comal | 11 | 11 | 4 |
| Rockwall | 10 | 10 | 4 |
| Cherokee | 10 | 10 | 4 |
| Parker | 10 | 10 | 4 |
| Kent | 10 | 10 | 4 |
| Coryell | 10 | 10 | 4 |
| Newton | 10 | 10 | 4 |
| Kenedy | 10 | 10 | 4 |
| Archer | 10 | 10 | 4 |
| Franklin | 10 | 10 | 4 |
| Houston | 10 | 10 | 4 |
| Parmer | 10 | 10 | 4 |
| Wichita | 10 | 10 | 4 |
| McCulloch | 9 | 9 | 3 |
| Dickens | 9 | 9 | 3 |
| Madison | 9 | 9 | 3 |
| Lipscomb | 9 | 9 | 3 |
| Edwards | 9 | 9 | 3 |
| Gonzales | 9 | 9 | 3 |
| Jasper | 9 | 9 | 3 |
| Starr | 9 | 9 | 3 |
| Hunt | 9 | 9 | 3 |
| Kerr | 9 | 9 | 3 |
| Comanche | 9 | 9 | 3 |
| Kimble | 9 | 9 | 3 |
| Henderson | 9 | 9 | 3 |
| Brown | 9 | 9 | 3 |
| Van Zandt | 9 | 9 | 3 |
| Martin | 8 | 8 | 3 |
| Lee | 8 | 8 | 3 |
| Wood | 8 | 8 | 3 |
| Atascosa | 8 | 8 | 3 |
| Willacy | 8 | 8 | 3 |
| Hockley | 8 | 8 | 3 |
| Reeves | 8 | 8 | 3 |
| Hutchinson | 8 | 8 | 3 |
| Mitchell | 8 | 8 | 3 |
| Nueces | 8 | 8 | 3 |
| Hood | 8 | 8 | 3 |
| Karnes | 8 | 8 | 3 |
| Bee | 8 | 8 | 3 |
| Burleson | 8 | 8 | 3 |
| Brazoria | 8 | 8 | 3 |
| Yoakum | 8 | 8 | 3 |
| Cameron | 8 | 8 | 3 |
| Knox | 8 | 8 | 3 |
| Orange | 8 | 8 | 3 |
| Trinity | 7 | 7 | 2 |
| Brooks | 7 | 7 | 2 |
| Lavaca | 7 | 7 | 2 |
| Stephens | 7 | 7 | 2 |
| Harris | 7 | 7 | 2 |
| Collingsworth | 7 | 7 | 2 |
| Tom Green | 7 | 7 | 2 |
| Sherman | 7 | 7 | 2 |
| Freestone | 7 | 7 | 2 |
| El Paso | 7 | 7 | 2 |
| Floyd | 7 | 7 | 2 |
| Crane | 7 | 7 | 2 |
| Frio | 7 | 7 | 2 |
| Colorado | 7 | 7 | 2 |
| Pecos | 7 | 7 | 2 |
| Travis | 7 | 7 | 2 |
| Galveston | 7 | 7 | 2 |
| Clay | 7 | 7 | 2 |
| Bandera | 7 | 7 | 2 |
| Williamson | 7 | 7 | 2 |
| Briscoe | 7 | 7 | 2 |
| Burnet | 7 | 7 | 2 |
| Ochiltree | 7 | 7 | 2 |
| Collin | 7 | 7 | 2 |
| Washington | 7 | 7 | 2 |
| Hopkins | 6 | 6 | 2 |
| Hall | 6 | 6 | 2 |
| Polk | 6 | 6 | 2 |
| Midland | 6 | 6 | 2 |
| Hill | 6 | 6 | 2 |
| Titus | 6 | 6 | 2 |
| Winkler | 6 | 6 | 2 |
| San Saba | 6 | 6 | 2 |
| Dallas | 6 | 6 | 2 |
| Webb | 6 | 6 | 2 |
| Rusk | 6 | 6 | 2 |
| Guadalupe | 6 | 6 | 2 |
| Andrews | 6 | 6 | 2 |
| DeWitt | 6 | 6 | 2 |
| Tyler | 6 | 6 | 2 |
| Mason | 6 | 6 | 2 |
| Lamb | 6 | 6 | 2 |
| Brewster | 6 | 6 | 2 |
| Panola | 6 | 6 | 2 |
| Austin | 6 | 6 | 2 |
| Angelina | 6 | 6 | 2 |
| Castro | 6 | 6 | 2 |
| Hale | 6 | 6 | 2 |
| Dawson | 6 | 6 | 2 |
| Marion | 6 | 6 | 2 |
| Young | 6 | 6 | 2 |
| Live Oak | 6 | 6 | 2 |
| Refugio | 6 | 6 | 2 |
| Medina | 6 | 6 | 2 |
| Bailey | 6 | 6 | 2 |
| Cottle | 6 | 6 | 2 |
| Hamilton | 6 | 6 | 2 |
| Robertson | 6 | 6 | 2 |
| Hardin | 6 | 6 | 2 |
| Fisher | 5 | 5 | 2 |
| Uvalde | 5 | 5 | 2 |
| Bell | 5 | 5 | 2 |
| Jefferson | 5 | 5 | 2 |
| Wilson | 5 | 5 | 2 |
| Wheeler | 5 | 5 | 2 |
| San Patricio | 5 | 5 | 2 |
| Baylor | 5 | 5 | 2 |
| Nolan | 5 | 5 | 2 |
| Erath | 5 | 5 | 2 |
| Wilbarger | 5 | 5 | 2 |
| Caldwell | 5 | 5 | 2 |
| Tarrant | 5 | 5 | 2 |
| Jeff Davis | 5 | 5 | 2 |
| Navarro | 5 | 5 | 2 |
| Presidio | 5 | 5 | 2 |
| Falls | 5 | 5 | 2 |
| Fannin | 5 | 5 | 2 |
| Chambers | 5 | 5 | 2 |
| Victoria | 5 | 5 | 2 |
| Fort Bend | 5 | 5 | 2 |
| Schleicher | 5 | 5 | 2 |
| Zavala | 5 | 5 | 2 |
| Bastrop | 5 | 5 | 2 |
| Lynn | 5 | 5 | 2 |
| Calhoun | 5 | 5 | 2 |
| Carson | 5 | 5 | 2 |
| Red River | 5 | 5 | 2 |
| Leon | 5 | 5 | 2 |
| Stonewall | 5 | 5 | 2 |
| Hartley | 5 | 5 | 2 |
| Callahan | 5 | 5 | 2 |
| All districts (254) | 7,468 | 7,468 | 2,614 |
The Architects and Interior Designers database for Texas, United States includes 7,468+ 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 Architects and Interior Designers database for Texas, United States contains 7,468+ 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 Architects and Interior Designers 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 architects and interior designers footprint in Texas, United States.
Yes. The Architects and Interior Designers 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.
Data2Sales AI's World Wide Data database for Texas, United States consolidates 7,468+ 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:
Aug 08, 2026 05:45 AM
Published:
Jul 06, 2026 11:57 AM
Rows (Regular):
3,734
Rows (Extended):
7,468
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
