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Motel Listings: Ohio, United States (2026 Edition) Database of Ohio, United States Updated June 2026

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Motel Listings: Ohio, United States (2026 Edition) Database of Ohio, United States Updated June 2026 4.8 ★★★★★ ★★★★★ Verified buyers
Updated: Jul 08, 2026

🌐 Motel Listings: Ohio, United States (2026 Edition) Database of Ohio, United States Updated June 2026

Unlock actionable insights and supercharge your sales pipeline. Download this verified, analysis-ready dataset today.

Rows (Extended)462
Sales0
Views6
CountryUnited States
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Coverage across Ohio

This dataset covers 462 verified records spread across 88+ districts in Ohio. 462 records carry a verified phone number and 162 include a business website — directly usable for outreach, segmentation, and CRM import.

The highest-density districts are Greene (91 listings), Miami (46 listings), Morrow (30 listings), Shelby (23 listings), Ross (18 listings), Hamilton (15 listings), Holmes (13 listings), and Ottawa (11 listings).

Additional coverage spans Columbiana (10), Coshocton (9), Jackson (8), Perry (8), Defiance (7), Gallia (7), Champaign (6), Brown (6), Carroll (5), Fayette (5), Preble (5), Logan (5) , plus 68 more districts.

Coverage in Ohio — by district

Total rows:462 With mobile:462 With website:162
Districts Total With mobile With website
Greene 91 91 32
Miami 46 46 16
Morrow 30 30 11
Shelby 23 23 8
Ross 18 18 6
Hamilton 15 15 5
Holmes 13 13 5
Ottawa 11 11 4
Columbiana 10 10 4
Coshocton 9 9 3
All districts (88) 462 462 162

Coverage in Ohio — all 88 districts

Districts Total With mobile With website
Greene 91 91 32
Miami 46 46 16
Morrow 30 30 11
Shelby 23 23 8
Ross 18 18 6
Hamilton 15 15 5
Holmes 13 13 5
Ottawa 11 11 4
Columbiana 10 10 4
Coshocton 9 9 3
Jackson 8 8 3
Perry 8 8 3
Defiance 7 7 2
Gallia 7 7 2
Champaign 6 6 2
Brown 6 6 2
Carroll 5 5 2
Fayette 5 5 2
Preble 5 5 2
Logan 5 5 2
Tuscarawas 5 5 2
Seneca 4 4 1
Richland 4 4 1
Paulding 4 4 1
Pickaway 4 4 1
Meigs 4 4 1
Highland 4 4 1
Mahoning 3 3 1
Trumbull 3 3 1
Clinton 3 3 1
Franklin 3 3 1
Knox 3 3 1
Wood 3 3 1
Henry 3 3 1
Wyandot 3 3 1
Ashland 3 3 1
Athens 3 3 1
Stark 2 2 1
Huron 2 2 1
Butler 2 2 1
Lawrence 2 2 1
Guernsey 2 2 1
Union 2 2 1
Washington 2 2 1
Noble 2 2 1
Lucas 2 2 1
Hancock 2 2 1
Clermont 2 2 1
Warren 2 2 1
Jefferson 2 2 1
Darke 2 2 1
Van Wert 2 2 1
Fulton 2 2 1
Geauga 2 2 1
Erie 2 2 1
Fairfield 2 2 1
Vinton 2 2 1
Sandusky 2 2 1
Delaware 2 2 1
Clark 2 2 1
Auglaize 2 2 1
Cuyahoga 1 1 0
Allen 1 1 0
Ashtabula 1 1 0
Hocking 1 1 0
Hardin 1 1 0
Madison 1 1 0
Putnam 1 1 0
Summit 1 1 0
Lake 1 1 0
Medina 1 1 0
Montgomery 1 1 0
Adams 1 1 0
Crawford 1 1 0
Marion 1 1 0
Scioto 1 1 0
Pike 1 1 0
Mercer 1 1 0
Harrison 1 1 0
Wayne 1 1 0
Lorain 1 1 0
Licking 1 1 0
Belmont 1 1 0
Morgan 1 1 0
Williams 1 1 0
Monroe 1 1 0
Portage 1 1 0
Muskingum 1 1 0
All districts (88) 462 462 162

Related coverage — same industry Drill up for wider coverage

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Motels Database — United States

The Motels database for Ohio, United States includes 462+ verified businesses with company name, address, city, state, phone, email, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.

How to use this data

  • Demand-gen experiments — A/B different positionings against the same motels pool in Ohio, United States.
  • Operating-model design — base scale-up cost models on real Ohio, United States motels headcount, not extrapolation.
  • Field-ops planning — feed addresses into a route optimiser so Ohio, United States sales visits hit the most motels firms per day.

Frequently asked about this dataset

How many businesses are in the Motels database for Ohio, United States?

The Motels database for Ohio, United States contains 462+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.

Where can I download a Motels database for Ohio, United States?

The complete Motels database for Ohio, United States is available on this page from Data2Sales AI as an instant CSV download. Every record carries verified contact details and is delivered immediately after checkout.

What fields are included in the Motels dataset?

Each record includes: Business name, Street address, City, State / Region, Postal code, Country, Phone number, Email address and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.

How accurate is the Motels data for Ohio, United States?

Every record is cross-referenced across public business registries, Google Maps and licensed directory partners before it ships. Closed businesses, disconnected phones and duplicates are stripped on every monthly refresh, so the dataset reflects the live motels footprint in Ohio, United States.

Is the Motels dataset updated regularly?

Yes. The Motels dataset is rebuilt on a rolling 30-day cycle. New entrants come in through registrar filings; closures are detected from negative signals and dropped before export.

Can I use the Motels data for marketing and outreach?

Yes — the dataset is licensed for commercial use after purchase. Common use cases include cold outbound, geo-targeted advertising, market research, supplier sourcing and territory planning. Only publicly listed business contact information is included.

What format do I receive the Motels database in?

You receive a UTF-8 encoded CSV. It opens in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request.

How quickly can I download the dataset after purchase?

Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time. You also get 7 days of unlimited re-downloads from a secure link sent to your email.

About the Motels Database in Ohio, United States

Data2Sales AI's World Wide Data database for Ohio, United States consolidates 462+ 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.

License Option
Licenses terms
Accuracy 95–98% Instant download Refreshed monthly CSV / Excel

Last Update:

Jul 08, 2026 13:38 PM

Published:

May 11, 2026 04:04 AM

Rows (Extended):

462

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