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This dataset covers 3,467 verified records spread across 254+ districts in Texas. 3,467 records carry a verified phone number and 1,213 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Stephens (567 listings), Aransas (283 listings), Fayette (189 listings), Bell (142 listings), Brazos (113 listings), Kaufman (94 listings), Galveston (81 listings), and Colorado (71 listings).
Additional coverage spans Motley (63), Sabine (57), Comal (52), Taylor (47), Ochiltree (44), Tom Green (40), Freestone (38), Donley (35), Menard (33), Hale (31), Walker (30), Waller (28) , plus 234 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Stephens | 567 | 567 | 198 |
| Aransas | 283 | 283 | 99 |
| Fayette | 189 | 189 | 66 |
| Bell | 142 | 142 | 50 |
| Brazos | 113 | 113 | 40 |
| Kaufman | 94 | 94 | 33 |
| Galveston | 81 | 81 | 28 |
| Colorado | 71 | 71 | 25 |
| Motley | 63 | 63 | 22 |
| Sabine | 57 | 57 | 20 |
| All districts (254) | 3,467 | 3,467 | 1,213 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Stephens | 567 | 567 | 198 |
| Aransas | 283 | 283 | 99 |
| Fayette | 189 | 189 | 66 |
| Bell | 142 | 142 | 50 |
| Brazos | 113 | 113 | 40 |
| Kaufman | 94 | 94 | 33 |
| Galveston | 81 | 81 | 28 |
| Colorado | 71 | 71 | 25 |
| Motley | 63 | 63 | 22 |
| Sabine | 57 | 57 | 20 |
| Comal | 52 | 52 | 18 |
| Taylor | 47 | 47 | 16 |
| Ochiltree | 44 | 44 | 15 |
| Tom Green | 40 | 40 | 14 |
| Freestone | 38 | 38 | 13 |
| Donley | 35 | 35 | 12 |
| Menard | 33 | 33 | 12 |
| Hale | 31 | 31 | 11 |
| Walker | 30 | 30 | 11 |
| Waller | 28 | 28 | 10 |
| Cochran | 27 | 27 | 9 |
| Bee | 26 | 26 | 9 |
| Erath | 25 | 25 | 9 |
| San Saba | 24 | 24 | 8 |
| Lamb | 23 | 23 | 8 |
| Nolan | 22 | 22 | 8 |
| Randall | 21 | 21 | 7 |
| Rusk | 20 | 20 | 7 |
| Lee | 20 | 20 | 7 |
| Webb | 19 | 19 | 7 |
| Falls | 18 | 18 | 6 |
| Haskell | 18 | 18 | 6 |
| Franklin | 17 | 17 | 6 |
| Young | 17 | 17 | 6 |
| Cherokee | 16 | 16 | 6 |
| Shelby | 16 | 16 | 6 |
| Howard | 15 | 15 | 5 |
| Leon | 15 | 15 | 5 |
| Van Zandt | 15 | 15 | 5 |
| Comanche | 14 | 14 | 5 |
| Lynn | 14 | 14 | 5 |
| Oldham | 13 | 13 | 5 |
| Lipscomb | 13 | 13 | 5 |
| Gonzales | 13 | 13 | 5 |
| Bosque | 13 | 13 | 5 |
| Denton | 12 | 12 | 4 |
| McCulloch | 12 | 12 | 4 |
| Swisher | 12 | 12 | 4 |
| Potter | 12 | 12 | 4 |
| Terrell | 11 | 11 | 4 |
| Tyler | 11 | 11 | 4 |
| Jackson | 11 | 11 | 4 |
| Throckmorton | 11 | 11 | 4 |
| Mason | 10 | 10 | 4 |
| Atascosa | 10 | 10 | 4 |
| Henderson | 10 | 10 | 4 |
| Brazoria | 10 | 10 | 4 |
| Hidalgo | 10 | 10 | 4 |
| Goliad | 10 | 10 | 4 |
| Collingsworth | 9 | 9 | 3 |
| Reagan | 9 | 9 | 3 |
| Mitchell | 9 | 9 | 3 |
| Burleson | 9 | 9 | 3 |
| Deaf Smith | 9 | 9 | 3 |
| Montgomery | 9 | 9 | 3 |
| Red River | 9 | 9 | 3 |
| Upshur | 8 | 8 | 3 |
| Knox | 8 | 8 | 3 |
| Kleberg | 8 | 8 | 3 |
| Stonewall | 8 | 8 | 3 |
| Hood | 8 | 8 | 3 |
| Concho | 8 | 8 | 3 |
| Wharton | 8 | 8 | 3 |
| Lubbock | 8 | 8 | 3 |
| Presidio | 8 | 8 | 3 |
| Titus | 7 | 7 | 2 |
| Liberty | 7 | 7 | 2 |
| Fort Bend | 7 | 7 | 2 |
| Wood | 7 | 7 | 2 |
| Roberts | 7 | 7 | 2 |
| Caldwell | 7 | 7 | 2 |
| Johnson | 7 | 7 | 2 |
| Borden | 7 | 7 | 2 |
| Kerr | 7 | 7 | 2 |
| Hunt | 7 | 7 | 2 |
| Grayson | 7 | 7 | 2 |
| Wilbarger | 7 | 7 | 2 |
| Chambers | 6 | 6 | 2 |
| Gaines | 6 | 6 | 2 |
| Victoria | 6 | 6 | 2 |
| Callahan | 6 | 6 | 2 |
| Crane | 6 | 6 | 2 |
| Floyd | 6 | 6 | 2 |
| Pecos | 6 | 6 | 2 |
| Scurry | 6 | 6 | 2 |
| Dimmit | 6 | 6 | 2 |
| Kent | 6 | 6 | 2 |
| Brown | 6 | 6 | 2 |
| Robertson | 6 | 6 | 2 |
| Hill | 6 | 6 | 2 |
| Runnels | 6 | 6 | 2 |
| Jefferson | 6 | 6 | 2 |
| Polk | 6 | 6 | 2 |
| Hall | 5 | 5 | 2 |
| Clay | 5 | 5 | 2 |
| Kinney | 5 | 5 | 2 |
| Brewster | 5 | 5 | 2 |
| Angelina | 5 | 5 | 2 |
| Zapata | 5 | 5 | 2 |
| Palo Pinto | 5 | 5 | 2 |
| Coleman | 5 | 5 | 2 |
| Sutton | 5 | 5 | 2 |
| Frio | 5 | 5 | 2 |
| Kendall | 5 | 5 | 2 |
| Live Oak | 5 | 5 | 2 |
| Grimes | 5 | 5 | 2 |
| Crosby | 5 | 5 | 2 |
| Morris | 5 | 5 | 2 |
| Loving | 5 | 5 | 2 |
| Starr | 5 | 5 | 2 |
| Guadalupe | 5 | 5 | 2 |
| Blanco | 5 | 5 | 2 |
| Dallam | 5 | 5 | 2 |
| Hamilton | 5 | 5 | 2 |
| Coke | 5 | 5 | 2 |
| La Salle | 5 | 5 | 2 |
| Dallas | 4 | 4 | 1 |
| Wheeler | 4 | 4 | 1 |
| Hardeman | 4 | 4 | 1 |
| Upton | 4 | 4 | 1 |
| Culberson | 4 | 4 | 1 |
| Collin | 4 | 4 | 1 |
| Tarrant | 4 | 4 | 1 |
| Val Verde | 4 | 4 | 1 |
| Burnet | 4 | 4 | 1 |
| Shackelford | 4 | 4 | 1 |
| Llano | 4 | 4 | 1 |
| McLennan | 4 | 4 | 1 |
| Cooke | 4 | 4 | 1 |
| Navarro | 4 | 4 | 1 |
| Travis | 4 | 4 | 1 |
| Duval | 4 | 4 | 1 |
| Bowie | 4 | 4 | 1 |
| Irion | 4 | 4 | 1 |
| Gregg | 4 | 4 | 1 |
| Lamar | 4 | 4 | 1 |
| Nacogdoches | 4 | 4 | 1 |
| Calhoun | 4 | 4 | 1 |
| Bastrop | 4 | 4 | 1 |
| Limestone | 4 | 4 | 1 |
| Hartley | 4 | 4 | 1 |
| Delta | 4 | 4 | 1 |
| Harris | 4 | 4 | 1 |
| Lavaca | 4 | 4 | 1 |
| Brooks | 4 | 4 | 1 |
| Lampasas | 4 | 4 | 1 |
| Orange | 4 | 4 | 1 |
| Andrews | 4 | 4 | 1 |
| Foard | 4 | 4 | 1 |
| Jim Wells | 4 | 4 | 1 |
| Yoakum | 4 | 4 | 1 |
| Nueces | 4 | 4 | 1 |
| Karnes | 3 | 3 | 1 |
| Eastland | 3 | 3 | 1 |
| Hudspeth | 3 | 3 | 1 |
| Crockett | 3 | 3 | 1 |
| Childress | 3 | 3 | 1 |
| Reeves | 3 | 3 | 1 |
| Harrison | 3 | 3 | 1 |
| Moore | 3 | 3 | 1 |
| Terry | 3 | 3 | 1 |
| San Patricio | 3 | 3 | 1 |
| Martin | 3 | 3 | 1 |
| Jeff Davis | 3 | 3 | 1 |
| Mills | 3 | 3 | 1 |
| Camp | 3 | 3 | 1 |
| Kimble | 3 | 3 | 1 |
| Montague | 3 | 3 | 1 |
| Hansford | 3 | 3 | 1 |
| Jasper | 3 | 3 | 1 |
| Schleicher | 3 | 3 | 1 |
| Hemphill | 3 | 3 | 1 |
| Refugio | 3 | 3 | 1 |
| Ward | 3 | 3 | 1 |
| Parmer | 3 | 3 | 1 |
| Archer | 3 | 3 | 1 |
| Newton | 3 | 3 | 1 |
| Kenedy | 3 | 3 | 1 |
| Rains | 3 | 3 | 1 |
| Bexar | 3 | 3 | 1 |
| Parker | 3 | 3 | 1 |
| Ector | 3 | 3 | 1 |
| Gillespie | 3 | 3 | 1 |
| Matagorda | 3 | 3 | 1 |
| Anderson | 3 | 3 | 1 |
| Trinity | 3 | 3 | 1 |
| Carson | 3 | 3 | 1 |
| Zavala | 3 | 3 | 1 |
| El Paso | 3 | 3 | 1 |
| Sherman | 3 | 3 | 1 |
| Fannin | 3 | 3 | 1 |
| Glasscock | 3 | 3 | 1 |
| Bandera | 3 | 3 | 1 |
| Hays | 3 | 3 | 1 |
| King | 3 | 3 | 1 |
| Hopkins | 3 | 3 | 1 |
| Jim Hogg | 3 | 3 | 1 |
| Midland | 3 | 3 | 1 |
| Ellis | 3 | 3 | 1 |
| Briscoe | 3 | 3 | 1 |
| Jack | 3 | 3 | 1 |
| Baylor | 3 | 3 | 1 |
| Wise | 3 | 3 | 1 |
| Garza | 3 | 3 | 1 |
| Hutchinson | 3 | 3 | 1 |
| Rockwall | 3 | 3 | 1 |
| Winkler | 3 | 3 | 1 |
| Wilson | 3 | 3 | 1 |
| San Augustine | 3 | 3 | 1 |
| Coryell | 3 | 3 | 1 |
| Milam | 3 | 3 | 1 |
| Fisher | 3 | 3 | 1 |
| Uvalde | 3 | 3 | 1 |
| Hardin | 3 | 3 | 1 |
| Maverick | 3 | 3 | 1 |
| Cottle | 3 | 3 | 1 |
| Sterling | 3 | 3 | 1 |
| Medina | 2 | 2 | 1 |
| Bailey | 2 | 2 | 1 |
| Wichita | 2 | 2 | 1 |
| Real | 2 | 2 | 1 |
| San Jacinto | 2 | 2 | 1 |
| Houston | 2 | 2 | 1 |
| Edwards | 2 | 2 | 1 |
| Madison | 2 | 2 | 1 |
| McMullen | 2 | 2 | 1 |
| Armstrong | 2 | 2 | 1 |
| Jones | 2 | 2 | 1 |
| Dickens | 2 | 2 | 1 |
| Marion | 2 | 2 | 1 |
| Dawson | 2 | 2 | 1 |
| Willacy | 2 | 2 | 1 |
| Smith | 2 | 2 | 1 |
| Somervell | 2 | 2 | 1 |
| Castro | 2 | 2 | 1 |
| Washington | 2 | 2 | 1 |
| Austin | 2 | 2 | 1 |
| Gray | 2 | 2 | 1 |
| Williamson | 2 | 2 | 1 |
| Panola | 2 | 2 | 1 |
| Hockley | 2 | 2 | 1 |
| Cass | 2 | 2 | 1 |
| DeWitt | 2 | 2 | 1 |
| Cameron | 2 | 2 | 1 |
| All districts (254) | 3,467 | 3,467 | 1,213 |
The Top Sporting Goods stores database includes 3,467+ verified Top Sporting Goods 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.
Our latest 2026 count shows 3,467+ live Top Sporting Goods stores across Texas, United States. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
Data2Sales AI hosts the most up-to-date Top Sporting Goods stores list for Texas, United States; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Each Top Sporting Goods record carries the full operational profile: Top Sporting Goods store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL along with website, hours, Google rating and review volume. CSV opens directly in Excel / Sheets / Power BI / Looker.
We verify each Top Sporting Goods 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 Top Sporting Goods 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 Top Sporting Goods 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 Top Sporting Goods 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 3,467+ 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):
1,560
Rows (Extended):
3,467
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
