Data2Sales AI
4.9
★★★★★
★★★★★
1 reviews
Unlock actionable insights and supercharge your sales pipeline. Download this verified, analysis-ready dataset today.
This dataset covers 2,951 verified records spread across 159+ districts in Georgia. 2,951 records carry a verified phone number and 1,033 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Wilcox (522 listings), Worth (261 listings), Randolph (174 listings), Screven (131 listings), Early (104 listings), Evans (87 listings), Charlton (75 listings), and Gilmer (65 listings).
Additional coverage spans Cook (58), Bacon (52), Jefferson (47), Bulloch (44), Greene (40), Banks (37), Montgomery (35), Chattooga (33), Camden (31), Butts (29), Bleckley (27), Wayne (26) , plus 139 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Wilcox | 522 | 522 | 183 |
| Worth | 261 | 261 | 91 |
| Randolph | 174 | 174 | 61 |
| Screven | 131 | 131 | 46 |
| Early | 104 | 104 | 36 |
| Evans | 87 | 87 | 30 |
| Charlton | 75 | 75 | 26 |
| Gilmer | 65 | 65 | 23 |
| Cook | 58 | 58 | 20 |
| Bacon | 52 | 52 | 18 |
| All districts (159) | 2,951 | 2,951 | 1,033 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Wilcox | 522 | 522 | 183 |
| Worth | 261 | 261 | 91 |
| Randolph | 174 | 174 | 61 |
| Screven | 131 | 131 | 46 |
| Early | 104 | 104 | 36 |
| Evans | 87 | 87 | 30 |
| Charlton | 75 | 75 | 26 |
| Gilmer | 65 | 65 | 23 |
| Cook | 58 | 58 | 20 |
| Bacon | 52 | 52 | 18 |
| Jefferson | 47 | 47 | 16 |
| Bulloch | 44 | 44 | 15 |
| Greene | 40 | 40 | 14 |
| Banks | 37 | 37 | 13 |
| Montgomery | 35 | 35 | 12 |
| Chattooga | 33 | 33 | 12 |
| Camden | 31 | 31 | 11 |
| Butts | 29 | 29 | 10 |
| Bleckley | 27 | 27 | 9 |
| Wayne | 26 | 26 | 9 |
| Houston | 25 | 25 | 9 |
| Dodge | 24 | 24 | 8 |
| Chatham | 23 | 23 | 8 |
| Walker | 22 | 22 | 8 |
| Rockdale | 21 | 21 | 7 |
| Glynn | 20 | 20 | 7 |
| Oconee | 19 | 19 | 7 |
| Burke | 19 | 19 | 7 |
| Lamar | 18 | 18 | 6 |
| Webster | 17 | 17 | 6 |
| Madison | 17 | 17 | 6 |
| Emanuel | 16 | 16 | 6 |
| Laurens | 16 | 16 | 6 |
| Upson | 15 | 15 | 5 |
| Toombs | 15 | 15 | 5 |
| Richmond | 15 | 15 | 5 |
| Twiggs | 14 | 14 | 5 |
| Lee | 14 | 14 | 5 |
| Taylor | 13 | 13 | 5 |
| Echols | 13 | 13 | 5 |
| Candler | 13 | 13 | 5 |
| Colquitt | 12 | 12 | 4 |
| Murray | 12 | 12 | 4 |
| Wheeler | 12 | 12 | 4 |
| Brantley | 12 | 12 | 4 |
| Baldwin | 11 | 11 | 4 |
| McDuffie | 11 | 11 | 4 |
| Calhoun | 11 | 11 | 4 |
| Spalding | 11 | 11 | 4 |
| Jones | 10 | 10 | 4 |
| Catoosa | 10 | 10 | 4 |
| Coweta | 10 | 10 | 4 |
| Tattnall | 10 | 10 | 4 |
| Bartow | 10 | 10 | 4 |
| Long | 9 | 9 | 3 |
| Barrow | 9 | 9 | 3 |
| Meriwether | 9 | 9 | 3 |
| Clayton | 9 | 9 | 3 |
| Wilkes | 9 | 9 | 3 |
| Bibb | 9 | 9 | 3 |
| Seminole | 9 | 9 | 3 |
| Irwin | 8 | 8 | 3 |
| Muscogee | 8 | 8 | 3 |
| Telfair | 8 | 8 | 3 |
| Lumpkin | 8 | 8 | 3 |
| Crawford | 8 | 8 | 3 |
| Crisp | 8 | 8 | 3 |
| Towns | 8 | 8 | 3 |
| Clay | 8 | 8 | 3 |
| Whitfield | 7 | 7 | 2 |
| Haralson | 7 | 7 | 2 |
| Polk | 7 | 7 | 2 |
| Hall | 7 | 7 | 2 |
| Lincoln | 7 | 7 | 2 |
| Tift | 7 | 7 | 2 |
| Fulton | 7 | 7 | 2 |
| Turner | 7 | 7 | 2 |
| Paulding | 7 | 7 | 2 |
| Jasper | 7 | 7 | 2 |
| Sumter | 7 | 7 | 2 |
| Oglethorpe | 6 | 6 | 2 |
| Dade | 6 | 6 | 2 |
| Lowndes | 6 | 6 | 2 |
| Johnson | 6 | 6 | 2 |
| Liberty | 6 | 6 | 2 |
| Newton | 6 | 6 | 2 |
| Forsyth | 6 | 6 | 2 |
| Hancock | 6 | 6 | 2 |
| Union | 6 | 6 | 2 |
| Warren | 6 | 6 | 2 |
| Elbert | 6 | 6 | 2 |
| Macon | 6 | 6 | 2 |
| Henry | 6 | 6 | 2 |
| DeKalb | 6 | 6 | 2 |
| Thomas | 5 | 5 | 2 |
| Gwinnett | 5 | 5 | 2 |
| Brooks | 5 | 5 | 2 |
| Washington | 5 | 5 | 2 |
| Harris | 5 | 5 | 2 |
| Effingham | 5 | 5 | 2 |
| Habersham | 5 | 5 | 2 |
| Pierce | 5 | 5 | 2 |
| Miller | 5 | 5 | 2 |
| Clarke | 5 | 5 | 2 |
| Hart | 5 | 5 | 2 |
| Taliaferro | 5 | 5 | 2 |
| Talbot | 5 | 5 | 2 |
| Pickens | 5 | 5 | 2 |
| Columbia | 5 | 5 | 2 |
| Pulaski | 5 | 5 | 2 |
| McIntosh | 5 | 5 | 2 |
| Berrien | 5 | 5 | 2 |
| Quitman | 5 | 5 | 2 |
| Peach | 5 | 5 | 2 |
| Fayette | 5 | 5 | 2 |
| Carroll | 5 | 5 | 2 |
| Chattahoochee | 5 | 5 | 2 |
| Stephens | 4 | 4 | 1 |
| Rabun | 4 | 4 | 1 |
| Glascock | 4 | 4 | 1 |
| Gordon | 4 | 4 | 1 |
| Dougherty | 4 | 4 | 1 |
| Heard | 4 | 4 | 1 |
| Pike | 4 | 4 | 1 |
| Putnam | 4 | 4 | 1 |
| Douglas | 4 | 4 | 1 |
| Schley | 4 | 4 | 1 |
| Ware | 4 | 4 | 1 |
| Cobb | 4 | 4 | 1 |
| Dooly | 4 | 4 | 1 |
| Bryan | 4 | 4 | 1 |
| Wilkinson | 4 | 4 | 1 |
| Stewart | 4 | 4 | 1 |
| Dawson | 4 | 4 | 1 |
| Marion | 4 | 4 | 1 |
| Walton | 4 | 4 | 1 |
| Clinch | 4 | 4 | 1 |
| Cherokee | 4 | 4 | 1 |
| Franklin | 4 | 4 | 1 |
| Lanier | 4 | 4 | 1 |
| Floyd | 4 | 4 | 1 |
| Coffee | 4 | 4 | 1 |
| Atkinson | 4 | 4 | 1 |
| Morgan | 4 | 4 | 1 |
| White | 4 | 4 | 1 |
| Terrell | 4 | 4 | 1 |
| Appling | 4 | 4 | 1 |
| Treutlen | 4 | 4 | 1 |
| Jackson | 4 | 4 | 1 |
| Ben Hill | 4 | 4 | 1 |
| Jeff Davis | 3 | 3 | 1 |
| Decatur | 3 | 3 | 1 |
| Baker | 3 | 3 | 1 |
| Fannin | 3 | 3 | 1 |
| Monroe | 3 | 3 | 1 |
| Mitchell | 3 | 3 | 1 |
| Troup | 3 | 3 | 1 |
| Jenkins | 3 | 3 | 1 |
| Grady | 3 | 3 | 1 |
| All districts (159) | 2,951 | 2,951 | 1,033 |
The Mobile Phone stores database includes 2,951+ verified Mobile Phone stores in Georgia, 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.
Yvonne (US) bought 11 hours ago · Angelica (US) bought 17 hours ago · Cleo (US) bought 2 days ago · Rajendra (US) bought 2 days ago · Gauransh (US) bought 3 days ago
Mobile Phone currently operates 2,951+ stores in Georgia, United States (as of 2026). Buy access on this page and you get the master CSV with every store's verified contact + geolocation row.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Mobile Phone stores CSV covering all of Georgia, United States within seconds. Every row is human-checked.
Each Mobile Phone record carries the full operational profile: Mobile Phone 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.
Each Mobile Phone row goes through phone validation, address cross-check against Google Maps and a check against the official Mobile Phone Georgia, United States locator. Records that fail any of those drop before you ever see them.
Yes. The Mobile Phone 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 Mobile Phone 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 Mobile Phone stores — not a stale snapshot. 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 Georgia, United States? This database aggregates 2,951+ 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 11, 2026 02:30 AM
Published:
May 11, 2026 03:31 AM
Rows (Regular):
1,476
Rows (Extended):
2,951
Category:
Tags
No tagsRoll-up datasets — broader coverage at a higher tier are highlighted below.