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Active Hotel Database serving South Carolina, United… - May 2026 Update Database of South Carolina, United States Updated June 2026

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Active Hotel Database serving South Carolina, United… - May 2026 Update Database of South Carolina, United States Updated June 2026 4.9 ★★★★★ ★★★★★ Verified buyers
Updated: Jul 08, 2026

🌐 Active Hotel Database serving South Carolina, United… - May 2026 Update Database of South Carolina, United States Updated June 2026

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Rows (Extended)570
Sales0
Views14
CountryUnited States
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Coverage across South Carolina

This dataset covers 570 verified records spread across 46+ districts in South Carolina. 570 records carry a verified phone number and 200 include a business website — directly usable for outreach, segmentation, and CRM import.

The highest-density districts are Bamberg (129 listings), Allendale (65 listings), Fairfield (43 listings), Jasper (32 listings), Sumter (26 listings), Marlboro (22 listings), McCormick (18 listings), and Lancaster (16 listings).

Additional coverage spans Chester (14), Richland (13), Pickens (12), Spartanburg (11), Edgefield (10), Darlington (9), Cherokee (9), Marion (8), Charleston (8), Aiken (7), Florence (7), Colleton (6) , plus 26 more districts.

Coverage in South Carolina — by district

Total rows:570 With mobile:570 With website:200
Districts Total With mobile With website
Bamberg 129 129 45
Allendale 65 65 23
Fairfield 43 43 15
Jasper 32 32 11
Sumter 26 26 9
Marlboro 22 22 8
McCormick 18 18 6
Lancaster 16 16 6
Chester 14 14 5
Richland 13 13 5
All districts (46) 570 570 200

Coverage in South Carolina — all 46 districts

Districts Total With mobile With website
Bamberg 129 129 45
Allendale 65 65 23
Fairfield 43 43 15
Jasper 32 32 11
Sumter 26 26 9
Marlboro 22 22 8
McCormick 18 18 6
Lancaster 16 16 6
Chester 14 14 5
Richland 13 13 5
Pickens 12 12 4
Spartanburg 11 11 4
Edgefield 10 10 4
Darlington 9 9 3
Cherokee 9 9 3
Marion 8 8 3
Charleston 8 8 3
Aiken 7 7 2
Florence 7 7 2
Colleton 6 6 2
Chesterfield 6 6 2
Kershaw 6 6 2
Dorchester 6 6 2
Union 5 5 2
Barnwell 5 5 2
Greenwood 5 5 2
Lee 5 5 2
Anderson 5 5 2
Greenville 4 4 1
Laurens 4 4 1
Saluda 4 4 1
Lexington 4 4 1
Oconee 4 4 1
Georgetown 4 4 1
Calhoun 4 4 1
Orangeburg 4 4 1
Hampton 3 3 1
Beaufort 3 3 1
York 3 3 1
Horry 3 3 1
Abbeville 3 3 1
Berkeley 3 3 1
Dillon 3 3 1
Williamsburg 3 3 1
Newberry 3 3 1
Clarendon 3 3 1
All districts (46) 570 570 200

Hotels Database — United States

The Hotels database for South Carolina, United States includes 570+ 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

  • Investor diligence — scope the hotels TAM in South Carolina, United States from a verified count not a marketing estimate.
  • Risk + concentration audit — identify South Carolina, United States pincodes with hotels-cluster over-exposure.
  • Pipeline reporting — surface hotels pipeline coverage in South Carolina, United States by city and state in your sales dashboards.

Frequently asked about this dataset

How many businesses are in the Hotels database for South Carolina, United States?

The Hotels database for South Carolina, United States contains 570+ 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 Hotels database for South Carolina, United States?

The complete Hotels database for South Carolina, 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 Hotels 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 Hotels data for South Carolina, 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 hotels footprint in South Carolina, United States.

Is the Hotels dataset updated regularly?

Yes. The Hotels 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 Hotels 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 Hotels 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 Hotels Database in South Carolina, United States

The World Wide Data Database for South Carolina, United States is a 570+ verified records directory of world wide data businesses — aggregated through the Data2Sales AI engine, cross-referenced across public business registries, official company websites, licensed directory partners, and social platforms, then re-verified monthly so every record in the export is deliverable on day one.

Also available — Zone-wide roll-ups

Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.

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 04:12 AM

Rows (Extended):

570

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