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This dataset covers 3,263 verified records spread across 93+ districts in Indiana. 3,263 records carry a verified phone number and 1,142 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Vermillion (638 listings), Vigo (319 listings), Delaware (213 listings), Blackford (159 listings), Porter (128 listings), Randolph (106 listings), Brown (91 listings), and Wabash (80 listings).
Additional coverage spans Floyd (71), Rush (64), Howard (58), Montgomery (53), Shelby (49), Greene (46), Perry (43), Parke (40), LaGrange (38), Madison (35), Tippecanoe (34), White (32) , plus 73 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Vermillion | 638 | 638 | 223 |
| Vigo | 319 | 319 | 112 |
| Delaware | 213 | 213 | 75 |
| Blackford | 159 | 159 | 56 |
| Porter | 128 | 128 | 45 |
| Randolph | 106 | 106 | 37 |
| Brown | 91 | 91 | 32 |
| Wabash | 80 | 80 | 28 |
| Floyd | 71 | 71 | 25 |
| Rush | 64 | 64 | 22 |
| All districts (93) | 3,263 | 3,263 | 1,142 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Vermillion | 638 | 638 | 223 |
| Vigo | 319 | 319 | 112 |
| Delaware | 213 | 213 | 75 |
| Blackford | 159 | 159 | 56 |
| Porter | 128 | 128 | 45 |
| Randolph | 106 | 106 | 37 |
| Brown | 91 | 91 | 32 |
| Wabash | 80 | 80 | 28 |
| Floyd | 71 | 71 | 25 |
| Rush | 64 | 64 | 22 |
| Howard | 58 | 58 | 20 |
| Montgomery | 53 | 53 | 19 |
| Shelby | 49 | 49 | 17 |
| Greene | 46 | 46 | 16 |
| Perry | 43 | 43 | 15 |
| Parke | 40 | 40 | 14 |
| LaGrange | 38 | 38 | 13 |
| Madison | 35 | 35 | 12 |
| Tippecanoe | 34 | 34 | 12 |
| White | 32 | 32 | 11 |
| Gibson | 30 | 30 | 11 |
| Miami | 29 | 29 | 10 |
| Dubois | 28 | 28 | 10 |
| Daviess | 27 | 27 | 9 |
| Tipton | 26 | 26 | 9 |
| Warrick | 25 | 25 | 9 |
| Noble | 24 | 24 | 8 |
| Jefferson | 23 | 23 | 8 |
| Posey | 22 | 22 | 8 |
| Bartholomew | 21 | 21 | 7 |
| Hendricks | 21 | 21 | 7 |
| Union | 20 | 20 | 7 |
| Cass | 19 | 19 | 7 |
| Fountain | 19 | 19 | 7 |
| Marshall | 18 | 18 | 6 |
| St Joseph | 18 | 18 | 6 |
| Crawford | 17 | 17 | 6 |
| Henry | 17 | 17 | 6 |
| Pike | 16 | 16 | 6 |
| Dearborn | 16 | 16 | 6 |
| Owen | 16 | 16 | 6 |
| Harrison | 15 | 15 | 5 |
| Lake | 15 | 15 | 5 |
| Scott | 14 | 14 | 5 |
| Spencer | 14 | 14 | 5 |
| Elkhart | 14 | 14 | 5 |
| Johnson | 14 | 14 | 5 |
| Steuben | 13 | 13 | 5 |
| Vanderburgh | 13 | 13 | 5 |
| Hancock | 13 | 13 | 5 |
| Clark | 13 | 13 | 5 |
| Allen | 12 | 12 | 4 |
| Washington | 12 | 12 | 4 |
| Orange | 12 | 12 | 4 |
| St. Joseph | 12 | 12 | 4 |
| DeKalb | 11 | 11 | 4 |
| Warren | 11 | 11 | 4 |
| Hamilton | 11 | 11 | 4 |
| Clinton | 11 | 11 | 4 |
| Martin | 11 | 11 | 4 |
| Jennings | 10 | 10 | 4 |
| Jasper | 10 | 10 | 4 |
| Fulton | 10 | 10 | 4 |
| Boone | 10 | 10 | 4 |
| Wells | 10 | 10 | 4 |
| Ohio | 10 | 10 | 4 |
| Newton | 10 | 10 | 4 |
| Sullivan | 9 | 9 | 3 |
| Grant | 9 | 9 | 3 |
| Pulaski | 9 | 9 | 3 |
| Morgan | 9 | 9 | 3 |
| Fayette | 9 | 9 | 3 |
| LaPorte | 9 | 9 | 3 |
| Carroll | 9 | 9 | 3 |
| Lawrence | 9 | 9 | 3 |
| Clay | 8 | 8 | 3 |
| Monroe | 8 | 8 | 3 |
| Switzerland | 8 | 8 | 3 |
| Starke | 8 | 8 | 3 |
| Benton | 8 | 8 | 3 |
| Kosciusko | 8 | 8 | 3 |
| Putnam | 8 | 8 | 3 |
| Wayne | 8 | 8 | 3 |
| Knox | 8 | 8 | 3 |
| Marion | 8 | 8 | 3 |
| Adams | 7 | 7 | 2 |
| Jackson | 7 | 7 | 2 |
| Jay | 7 | 7 | 2 |
| Decatur | 7 | 7 | 2 |
| Huntington | 7 | 7 | 2 |
| Franklin | 7 | 7 | 2 |
| Whitley | 7 | 7 | 2 |
| Ripley | 2 | 2 | 1 |
| All districts (93) | 3,263 | 3,263 | 1,142 |
The Grocery stores database includes 3,263+ verified Grocery stores in Indiana, 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.
Pasquale (GB) bought 1 day ago · Zeeshan (US) bought 1 day ago · Orrin (US) bought 2 days ago · Nishi (US) bought 4 days ago · Camden (US) bought 5 days ago
Counting only operational sites, the Grocery footprint in Indiana, United States sits at about 3,263+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Grocery stores CSV covering all of Indiana, United States within seconds. Every row is human-checked.
Every record in the Grocery stores dataset includes: Grocery store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
Each Grocery row goes through phone validation, address cross-check against Google Maps and a check against the official Grocery Indiana, United States locator. Records that fail any of those drop before you ever see them.
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.
Data2Sales AI's World Wide Data database for Indiana, United States consolidates 3,263+ 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 14, 2026 05:45 AM
Published:
May 11, 2026 03:37 AM
Rows (Regular):
1,632
Rows (Extended):
3,263
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
