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This dataset covers 1,368 verified records spread across 15+ districts in Nagaland. 1,368 records carry a verified phone number and 479 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Tseminyu (412 listings), Mon (206 listings), Mokokchung (137 listings), Kohima (103 listings), Kiphire (82 listings), Peren (69 listings), Noklak (59 listings), and Zunheboto (52 listings).
Additional coverage spans Dimapur (46), Wokha (41), Chumoukedima (37), Niuland (34), Phek (32), Tuensang (29), Longleng (29) .
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Tseminyu | 412 | 412 | 144 |
| Mon | 206 | 206 | 72 |
| Mokokchung | 137 | 137 | 48 |
| Kohima | 103 | 103 | 36 |
| Kiphire | 82 | 82 | 29 |
| Peren | 69 | 69 | 24 |
| Noklak | 59 | 59 | 21 |
| Zunheboto | 52 | 52 | 18 |
| Dimapur | 46 | 46 | 16 |
| Wokha | 41 | 41 | 14 |
| All districts (15) | 1,368 | 1,368 | 479 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Tseminyu | 412 | 412 | 144 |
| Mon | 206 | 206 | 72 |
| Mokokchung | 137 | 137 | 48 |
| Kohima | 103 | 103 | 36 |
| Kiphire | 82 | 82 | 29 |
| Peren | 69 | 69 | 24 |
| Noklak | 59 | 59 | 21 |
| Zunheboto | 52 | 52 | 18 |
| Dimapur | 46 | 46 | 16 |
| Wokha | 41 | 41 | 14 |
| Chumoukedima | 37 | 37 | 13 |
| Niuland | 34 | 34 | 12 |
| Phek | 32 | 32 | 11 |
| Tuensang | 29 | 29 | 10 |
| Longleng | 29 | 29 | 10 |
| All districts (15) | 1,368 | 1,368 | 479 |
The Quick Service restaurants database includes 1,368+ verified Quick Service restaurants in Nagaland, India 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.
Our latest 2026 count shows 1,368+ live Quick Service restaurants across Nagaland, India. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Quick Service restaurants CSV covering all of Nagaland, India within seconds. Every row is human-checked.
The CSV ships with one row per Quick Service location, columns covering Quick Service store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL plus website, opening-hours window, ratings and review counts. UTF-8 encoded — imports cleanly into HubSpot, Salesforce, Zoho or any CRM.
We verify each Quick Service entry against the brand's official locator, Google Places and our directory partners on a 30-day cycle. Anything closed or with a dead phone gets dropped before export, so the CSV is the live Nagaland, India footprint, not last year's.
Yes. The Quick Service restaurants 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 Quick Service 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 Quick Service restaurants — 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 Nagaland, India consolidates 1,368+ 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.
Published:
May 11, 2026 02:26 AM
Rows (Regular):
616
Rows (Extended):
1,368
Category:
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
