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This dataset covers 60 verified records spread across 15+ districts in Nagaland. 60 records carry a verified phone number and 21 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Tseminyu (18 listings), Noklak (9 listings), Wokha (6 listings), Kohima (5 listings), Mokokchung (4 listings), Phek (3 listings), Kiphire (3 listings), and Dimapur (2 listings).
Additional coverage spans Mon (2), Zunheboto (2), Niuland (2), Tuensang (2), Longleng (1), Peren (1), Chumoukedima (1) .
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Tseminyu | 18 | 18 | 6 |
| Noklak | 9 | 9 | 3 |
| Wokha | 6 | 6 | 2 |
| Kohima | 5 | 5 | 2 |
| Mokokchung | 4 | 4 | 1 |
| Phek | 3 | 3 | 1 |
| Kiphire | 3 | 3 | 1 |
| Dimapur | 2 | 2 | 1 |
| Mon | 2 | 2 | 1 |
| Zunheboto | 2 | 2 | 1 |
| All districts (15) | 60 | 60 | 21 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Tseminyu | 18 | 18 | 6 |
| Noklak | 9 | 9 | 3 |
| Wokha | 6 | 6 | 2 |
| Kohima | 5 | 5 | 2 |
| Mokokchung | 4 | 4 | 1 |
| Phek | 3 | 3 | 1 |
| Kiphire | 3 | 3 | 1 |
| Dimapur | 2 | 2 | 1 |
| Mon | 2 | 2 | 1 |
| Zunheboto | 2 | 2 | 1 |
| Niuland | 2 | 2 | 1 |
| Tuensang | 2 | 2 | 1 |
| Longleng | 1 | 1 | 0 |
| Peren | 1 | 1 | 0 |
| Chumoukedima | 1 | 1 | 0 |
| All districts (15) | 60 | 60 | 21 |
The Computer Retail stores database includes 60+ verified Computer Retail 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.
There are roughly 60+ Computer Retail stores in Nagaland, India as of 2026. The full list is available as a CSV download on this page with name, address, phone, hours and GPS coordinates for every location.
Data2Sales AI hosts the most up-to-date Computer Retail stores list for Nagaland, India; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Per-row columns include Computer Retail store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and the surrounding context fields (website, opening hours, Google rating, review count). Delivered as a CRM-ready UTF-8 CSV.
We verify each Computer Retail 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 Computer Retail 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 Computer Retail 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 Computer Retail stores — 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 60+ 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:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 02:26 AM
Rows (Extended):
60
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
