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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 Kohima (172 listings), Noklak (86 listings), Mon (57 listings), Wokha (43 listings), Chumoukedima (34 listings), Kiphire (29 listings), Longleng (25 listings), and Tuensang (21 listings).
Additional coverage spans Phek (19), Zunheboto (17), Tseminyu (16), Niuland (14), Mokokchung (13), Peren (12), Dimapur (12) .
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kohima | 172 | 172 | 60 |
| Noklak | 86 | 86 | 30 |
| Mon | 57 | 57 | 20 |
| Wokha | 43 | 43 | 15 |
| Chumoukedima | 34 | 34 | 12 |
| Kiphire | 29 | 29 | 10 |
| Longleng | 25 | 25 | 9 |
| Tuensang | 21 | 21 | 7 |
| Phek | 19 | 19 | 7 |
| Zunheboto | 17 | 17 | 6 |
| All districts (15) | 570 | 570 | 200 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kohima | 172 | 172 | 60 |
| Noklak | 86 | 86 | 30 |
| Mon | 57 | 57 | 20 |
| Wokha | 43 | 43 | 15 |
| Chumoukedima | 34 | 34 | 12 |
| Kiphire | 29 | 29 | 10 |
| Longleng | 25 | 25 | 9 |
| Tuensang | 21 | 21 | 7 |
| Phek | 19 | 19 | 7 |
| Zunheboto | 17 | 17 | 6 |
| Tseminyu | 16 | 16 | 6 |
| Niuland | 14 | 14 | 5 |
| Mokokchung | 13 | 13 | 5 |
| Peren | 12 | 12 | 4 |
| Dimapur | 12 | 12 | 4 |
| All districts (15) | 570 | 570 | 200 |
The Stationery stores database includes 570+ verified Stationery stores 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.
Stationery currently operates 570+ stores in Nagaland, India (as of 2026). Buy access on this page and you get the master CSV with every store's verified contact + geolocation row.
Data2Sales AI hosts the most up-to-date Stationery stores list for Nagaland, India; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
The CSV ships with one row per Stationery location, columns covering Stationery 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.
Each Stationery row goes through phone validation, address cross-check against Google Maps and a check against the official Stationery Nagaland, India locator. Records that fail any of those drop before you ever see them.
Yes. The Stationery 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 Stationery 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 Stationery stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
The World Wide Data Database for Nagaland, India 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.
Published:
May 11, 2026 02:26 AM
Rows (Extended):
570
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
