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This dataset covers 570 verified records spread across 15+ districts in Nagaland. 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 Tuensang (172 listings), Longleng (86 listings), Mon (57 listings), Chumoukedima (43 listings), Mokokchung (34 listings), Peren (29 listings), Kiphire (25 listings), and Kohima (21 listings).
Additional coverage spans Noklak (19), Phek (17), Wokha (16), Dimapur (14), Zunheboto (13), Tseminyu (12), Niuland (12) .
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Tuensang | 172 | 172 | 60 |
| Longleng | 86 | 86 | 30 |
| Mon | 57 | 57 | 20 |
| Chumoukedima | 43 | 43 | 15 |
| Mokokchung | 34 | 34 | 12 |
| Peren | 29 | 29 | 10 |
| Kiphire | 25 | 25 | 9 |
| Kohima | 21 | 21 | 7 |
| Noklak | 19 | 19 | 7 |
| Phek | 17 | 17 | 6 |
| All districts (15) | 570 | 570 | 200 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Tuensang | 172 | 172 | 60 |
| Longleng | 86 | 86 | 30 |
| Mon | 57 | 57 | 20 |
| Chumoukedima | 43 | 43 | 15 |
| Mokokchung | 34 | 34 | 12 |
| Peren | 29 | 29 | 10 |
| Kiphire | 25 | 25 | 9 |
| Kohima | 21 | 21 | 7 |
| Noklak | 19 | 19 | 7 |
| Phek | 17 | 17 | 6 |
| Wokha | 16 | 16 | 6 |
| Dimapur | 14 | 14 | 5 |
| Zunheboto | 13 | 13 | 5 |
| Tseminyu | 12 | 12 | 4 |
| Niuland | 12 | 12 | 4 |
| All districts (15) | 570 | 570 | 200 |
The Casual Dining restaurants database includes 570+ verified Casual Dining 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.
Tanay (IN) bought 1 day ago · Parveen (IN) bought 5 days ago · Rahim (IN) bought 6 days ago · Leela (IN) bought 6 days ago
Our latest 2026 count shows 570+ live Casual Dining restaurants across Nagaland, India. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
The complete Casual Dining restaurants database for Nagaland, India is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Casual Dining location with address, phone, hours, website and GPS coordinates.
The CSV ships with one row per Casual Dining location, columns covering Casual Dining 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 Casual Dining 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 Casual Dining 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 Casual Dining 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 Casual Dining restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Looking to reach world wide data decision-makers in Nagaland, India? This database aggregates 570+ verified records through the Data2Sales AI engine, pulling from verified public registries, official websites, social profiles, and licensed data partners. Dead numbers, closed storefronts, and duplicates are stripped before export — you receive a clean, CRM-ready CSV.
Last Update:
Aug 08, 2026 05:45 AM
Published:
May 11, 2026 02:26 AM
Rows (Extended):
570
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
