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This dataset covers 36,495 verified records spread across 88+ districts in Ohio. 36,495 records carry a verified phone number and 12,773 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Fulton (7,212 listings), Geauga (3,606 listings), Lake (2,404 listings), Vinton (1,803 listings), Perry (1,442 listings), Carroll (1,202 listings), Fayette (1,030 listings), and Cuyahoga (902 listings).
Additional coverage spans Auglaize (801), Warren (721), Champaign (656), Miami (601), Delaware (555), Pike (515), Sandusky (481), Coshocton (451), Van Wert (424), Brown (401), Jackson (380), Logan (361) , plus 68 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Fulton | 7,212 | 7,212 | 2,524 |
| Geauga | 3,606 | 3,606 | 1,262 |
| Lake | 2,404 | 2,404 | 841 |
| Vinton | 1,803 | 1,803 | 631 |
| Perry | 1,442 | 1,442 | 505 |
| Carroll | 1,202 | 1,202 | 421 |
| Fayette | 1,030 | 1,030 | 361 |
| Cuyahoga | 902 | 902 | 316 |
| Auglaize | 801 | 801 | 280 |
| Warren | 721 | 721 | 252 |
| All districts (88) | 36,495 | 36,495 | 12,773 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Fulton | 7,212 | 7,212 | 2,524 |
| Geauga | 3,606 | 3,606 | 1,262 |
| Lake | 2,404 | 2,404 | 841 |
| Vinton | 1,803 | 1,803 | 631 |
| Perry | 1,442 | 1,442 | 505 |
| Carroll | 1,202 | 1,202 | 421 |
| Fayette | 1,030 | 1,030 | 361 |
| Cuyahoga | 902 | 902 | 316 |
| Auglaize | 801 | 801 | 280 |
| Warren | 721 | 721 | 252 |
| Champaign | 656 | 656 | 230 |
| Miami | 601 | 601 | 210 |
| Delaware | 555 | 555 | 194 |
| Pike | 515 | 515 | 180 |
| Sandusky | 481 | 481 | 168 |
| Coshocton | 451 | 451 | 158 |
| Van Wert | 424 | 424 | 148 |
| Brown | 401 | 401 | 140 |
| Jackson | 380 | 380 | 133 |
| Logan | 361 | 361 | 126 |
| Clermont | 343 | 343 | 120 |
| Scioto | 328 | 328 | 115 |
| Montgomery | 314 | 314 | 110 |
| Mercer | 301 | 301 | 105 |
| Stark | 288 | 288 | 101 |
| Henry | 277 | 277 | 97 |
| Hardin | 267 | 267 | 93 |
| Putnam | 258 | 258 | 90 |
| Meigs | 249 | 249 | 87 |
| Summit | 240 | 240 | 84 |
| Medina | 233 | 233 | 82 |
| Erie | 225 | 225 | 79 |
| Williams | 219 | 219 | 77 |
| Hancock | 212 | 212 | 74 |
| Marion | 206 | 206 | 72 |
| Lucas | 200 | 200 | 70 |
| Harrison | 195 | 195 | 68 |
| Noble | 190 | 190 | 67 |
| Clinton | 185 | 185 | 65 |
| Lorain | 180 | 180 | 63 |
| Crawford | 176 | 176 | 62 |
| Morgan | 172 | 172 | 60 |
| Huron | 168 | 168 | 59 |
| Union | 164 | 164 | 57 |
| Ashland | 160 | 160 | 56 |
| Wyandot | 157 | 157 | 55 |
| Monroe | 153 | 153 | 54 |
| Tuscarawas | 150 | 150 | 53 |
| Ashtabula | 147 | 147 | 51 |
| Pickaway | 144 | 144 | 50 |
| Ottawa | 141 | 141 | 49 |
| Paulding | 139 | 139 | 49 |
| Richland | 136 | 136 | 48 |
| Gallia | 134 | 134 | 47 |
| Greene | 131 | 131 | 46 |
| Morrow | 129 | 129 | 45 |
| Shelby | 127 | 127 | 44 |
| Wood | 124 | 124 | 43 |
| Knox | 122 | 122 | 43 |
| Columbiana | 120 | 120 | 42 |
| Darke | 118 | 118 | 41 |
| Holmes | 116 | 116 | 41 |
| Defiance | 114 | 114 | 40 |
| Fairfield | 113 | 113 | 40 |
| Hamilton | 111 | 111 | 39 |
| Allen | 109 | 109 | 38 |
| Preble | 108 | 108 | 38 |
| Clark | 106 | 106 | 37 |
| Seneca | 105 | 105 | 37 |
| Jefferson | 103 | 103 | 36 |
| Muskingum | 102 | 102 | 36 |
| Ross | 100 | 100 | 35 |
| Belmont | 99 | 99 | 35 |
| Licking | 97 | 97 | 34 |
| Wayne | 96 | 96 | 34 |
| Athens | 95 | 95 | 33 |
| Portage | 94 | 94 | 33 |
| Lawrence | 92 | 92 | 32 |
| Guernsey | 91 | 91 | 32 |
| Adams | 90 | 90 | 32 |
| Madison | 89 | 89 | 31 |
| Hocking | 88 | 88 | 31 |
| Franklin | 87 | 87 | 30 |
| Trumbull | 86 | 86 | 30 |
| Washington | 85 | 85 | 30 |
| Butler | 84 | 84 | 29 |
| Mahoning | 83 | 83 | 29 |
| Highland | 82 | 82 | 29 |
| All districts (88) | 36,495 | 36,495 | 12,773 |
The Shopify stores database includes 36,495+ verified Shopify stores in Ohio, 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.
Counting only operational sites, the Shopify footprint in Ohio, United States sits at about 36,495+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
This page IS the download point. The Shopify stores CSV for Ohio, United States ships immediately after payment and includes all verified store-level fields.
Each Shopify record carries the full operational profile: Shopify 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.
Triple-source verification: the Shopify store locator, Google Maps data and licensed B2B directories all have to agree before a record makes the CSV. Dead phones and 'permanently closed' markers prune the list every month.
Yes. The Shopify 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 Shopify 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 Shopify 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 36,495+ verified records operating in Ohio, 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:
Aug 13, 2026 05:45 AM
Published:
Jul 06, 2026 11:50 AM
Rows (Regular):
18,248
Rows (Extended):
36,495
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
