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This dataset covers 5,906 verified records spread across 159+ districts in Georgia. 5,906 records carry a verified phone number and 2,067 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Barrow (1,045 listings), Oglethorpe (523 listings), Bulloch (348 listings), Lamar (261 listings), Bartow (209 listings), Coweta (174 listings), Glynn (149 listings), and Burke (131 listings).
Additional coverage spans Wayne (116), Dodge (105), Long (95), Paulding (87), Chattooga (80), Screven (75), Jefferson (70), Murray (65), Upson (61), Laurens (58), Columbia (55), Clay (52) , plus 139 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Barrow | 1,045 | 1,045 | 366 |
| Oglethorpe | 523 | 523 | 183 |
| Bulloch | 348 | 348 | 122 |
| Lamar | 261 | 261 | 91 |
| Bartow | 209 | 209 | 73 |
| Coweta | 174 | 174 | 61 |
| Glynn | 149 | 149 | 52 |
| Burke | 131 | 131 | 46 |
| Wayne | 116 | 116 | 41 |
| Dodge | 105 | 105 | 37 |
| All districts (159) | 5,906 | 5,906 | 2,067 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Barrow | 1,045 | 1,045 | 366 |
| Oglethorpe | 523 | 523 | 183 |
| Bulloch | 348 | 348 | 122 |
| Lamar | 261 | 261 | 91 |
| Bartow | 209 | 209 | 73 |
| Coweta | 174 | 174 | 61 |
| Glynn | 149 | 149 | 52 |
| Burke | 131 | 131 | 46 |
| Wayne | 116 | 116 | 41 |
| Dodge | 105 | 105 | 37 |
| Long | 95 | 95 | 33 |
| Paulding | 87 | 87 | 30 |
| Chattooga | 80 | 80 | 28 |
| Screven | 75 | 75 | 26 |
| Jefferson | 70 | 70 | 25 |
| Murray | 65 | 65 | 23 |
| Upson | 61 | 61 | 21 |
| Laurens | 58 | 58 | 20 |
| Columbia | 55 | 55 | 19 |
| Clay | 52 | 52 | 18 |
| Candler | 50 | 50 | 18 |
| Washington | 48 | 48 | 17 |
| Worth | 45 | 45 | 16 |
| Polk | 44 | 44 | 15 |
| Hall | 42 | 42 | 15 |
| Chatham | 40 | 40 | 14 |
| Houston | 39 | 39 | 14 |
| Banks | 37 | 37 | 13 |
| Butts | 36 | 36 | 13 |
| Bibb | 35 | 35 | 12 |
| Webster | 34 | 34 | 12 |
| Taliaferro | 33 | 33 | 12 |
| Emanuel | 32 | 32 | 11 |
| Gwinnett | 31 | 31 | 11 |
| Madison | 30 | 30 | 11 |
| Bacon | 29 | 29 | 10 |
| Early | 28 | 28 | 10 |
| Wilkes | 28 | 28 | 10 |
| Evans | 27 | 27 | 9 |
| Irwin | 26 | 26 | 9 |
| Camden | 25 | 25 | 9 |
| Calhoun | 25 | 25 | 9 |
| Cook | 24 | 24 | 8 |
| Greene | 24 | 24 | 8 |
| Clayton | 23 | 23 | 8 |
| Gilmer | 23 | 23 | 8 |
| Catoosa | 22 | 22 | 8 |
| Stephens | 22 | 22 | 8 |
| Wheeler | 21 | 21 | 7 |
| Crisp | 21 | 21 | 7 |
| Towns | 20 | 20 | 7 |
| McIntosh | 20 | 20 | 7 |
| Glascock | 20 | 20 | 7 |
| Baldwin | 19 | 19 | 7 |
| Wilcox | 19 | 19 | 7 |
| Lumpkin | 19 | 19 | 7 |
| Echols | 18 | 18 | 6 |
| Chattahoochee | 18 | 18 | 6 |
| Treutlen | 18 | 18 | 6 |
| Taylor | 17 | 17 | 6 |
| Ben Hill | 17 | 17 | 6 |
| Telfair | 17 | 17 | 6 |
| Twiggs | 17 | 17 | 6 |
| Lincoln | 16 | 16 | 6 |
| Toombs | 16 | 16 | 6 |
| Mitchell | 16 | 16 | 6 |
| Jeff Davis | 16 | 16 | 6 |
| Franklin | 15 | 15 | 5 |
| Cherokee | 15 | 15 | 5 |
| Whitfield | 15 | 15 | 5 |
| Oconee | 15 | 15 | 5 |
| Jones | 15 | 15 | 5 |
| Walker | 14 | 14 | 5 |
| Atkinson | 14 | 14 | 5 |
| Clinch | 14 | 14 | 5 |
| Walton | 14 | 14 | 5 |
| Pike | 14 | 14 | 5 |
| Marion | 13 | 13 | 5 |
| Dawson | 13 | 13 | 5 |
| Charlton | 13 | 13 | 5 |
| Hancock | 13 | 13 | 5 |
| Schley | 13 | 13 | 5 |
| Putnam | 13 | 13 | 5 |
| Ware | 12 | 12 | 4 |
| Henry | 12 | 12 | 4 |
| Cobb | 12 | 12 | 4 |
| Bleckley | 12 | 12 | 4 |
| Gordon | 12 | 12 | 4 |
| Randolph | 12 | 12 | 4 |
| Lee | 12 | 12 | 4 |
| Johnson | 11 | 11 | 4 |
| Montgomery | 11 | 11 | 4 |
| Lowndes | 11 | 11 | 4 |
| Forsyth | 11 | 11 | 4 |
| Liberty | 11 | 11 | 4 |
| Richmond | 11 | 11 | 4 |
| Monroe | 11 | 11 | 4 |
| Fannin | 11 | 11 | 4 |
| Pulaski | 11 | 11 | 4 |
| Pickens | 10 | 10 | 4 |
| Morgan | 10 | 10 | 4 |
| Rockdale | 10 | 10 | 4 |
| Coffee | 10 | 10 | 4 |
| Macon | 10 | 10 | 4 |
| Lanier | 10 | 10 | 4 |
| Union | 10 | 10 | 4 |
| Effingham | 10 | 10 | 4 |
| Habersham | 10 | 10 | 4 |
| Dougherty | 10 | 10 | 4 |
| Douglas | 10 | 10 | 4 |
| Spalding | 9 | 9 | 3 |
| McDuffie | 9 | 9 | 3 |
| Floyd | 9 | 9 | 3 |
| Elbert | 9 | 9 | 3 |
| Warren | 9 | 9 | 3 |
| Tattnall | 9 | 9 | 3 |
| Stewart | 9 | 9 | 3 |
| Fayette | 9 | 9 | 3 |
| Brantley | 9 | 9 | 3 |
| Quitman | 9 | 9 | 3 |
| Tift | 9 | 9 | 3 |
| Grady | 9 | 9 | 3 |
| Carroll | 8 | 8 | 3 |
| Newton | 8 | 8 | 3 |
| Dade | 8 | 8 | 3 |
| Troup | 8 | 8 | 3 |
| Berrien | 8 | 8 | 3 |
| Colquitt | 8 | 8 | 3 |
| Wilkinson | 8 | 8 | 3 |
| Meriwether | 8 | 8 | 3 |
| Sumter | 8 | 8 | 3 |
| Baker | 8 | 8 | 3 |
| Jasper | 8 | 8 | 3 |
| White | 8 | 8 | 3 |
| Turner | 8 | 8 | 3 |
| Fulton | 8 | 8 | 3 |
| Talbot | 8 | 8 | 3 |
| Heard | 8 | 8 | 3 |
| Decatur | 8 | 8 | 3 |
| Muscogee | 7 | 7 | 2 |
| Jackson | 7 | 7 | 2 |
| Clarke | 7 | 7 | 2 |
| Appling | 7 | 7 | 2 |
| Terrell | 7 | 7 | 2 |
| Peach | 7 | 7 | 2 |
| Hart | 7 | 7 | 2 |
| Haralson | 7 | 7 | 2 |
| Rabun | 7 | 7 | 2 |
| Miller | 7 | 7 | 2 |
| Pierce | 7 | 7 | 2 |
| Jenkins | 7 | 7 | 2 |
| Crawford | 7 | 7 | 2 |
| Harris | 7 | 7 | 2 |
| Brooks | 7 | 7 | 2 |
| Thomas | 7 | 7 | 2 |
| Dooly | 7 | 7 | 2 |
| Bryan | 7 | 7 | 2 |
| DeKalb | 7 | 7 | 2 |
| Seminole | 7 | 7 | 2 |
| All districts (159) | 5,906 | 5,906 | 2,067 |
The Grocery stores database includes 5,906+ verified Grocery 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.
Grocery currently operates 5,906+ 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.
The complete Grocery stores database for Georgia, United States is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Grocery location with address, phone, hours, website and GPS coordinates.
Per-row columns include Grocery store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and the surrounding context fields (website, opening hours, Google rating, review count). Delivered as a CRM-ready UTF-8 CSV.
Every Grocery location is cross-referenced across the Grocery store locator, Google Maps and licensed business directories before it ships. Closed storefronts, disconnected phones and duplicate listings are stripped on every monthly refresh, so the CSV you download reflects the live Grocery footprint in Georgia, United States.
Yes. The Grocery 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 Grocery 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 Grocery 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 5,906+ verified records operating in Georgia, 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 03:31 AM
Rows (Regular):
2,658
Rows (Extended):
5,906
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
