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This dataset covers 243 verified records spread across 15+ districts in Nagaland. 243 records carry a verified phone number and 85 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Mon (73 listings), Chumoukedima (37 listings), Kiphire (24 listings), Zunheboto (18 listings), Wokha (15 listings), Noklak (12 listings), Tseminyu (10 listings), and Kohima (9 listings).
Additional coverage spans Tuensang (8), Longleng (7), Niuland (7), Mokokchung (6), Peren (6), Dimapur (6), Phek (5) .
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Mon | 73 | 73 | 26 |
| Chumoukedima | 37 | 37 | 13 |
| Kiphire | 24 | 24 | 8 |
| Zunheboto | 18 | 18 | 6 |
| Wokha | 15 | 15 | 5 |
| Noklak | 12 | 12 | 4 |
| Tseminyu | 10 | 10 | 4 |
| Kohima | 9 | 9 | 3 |
| Tuensang | 8 | 8 | 3 |
| Longleng | 7 | 7 | 2 |
| All districts (15) | 243 | 243 | 85 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Mon | 73 | 73 | 26 |
| Chumoukedima | 37 | 37 | 13 |
| Kiphire | 24 | 24 | 8 |
| Zunheboto | 18 | 18 | 6 |
| Wokha | 15 | 15 | 5 |
| Noklak | 12 | 12 | 4 |
| Tseminyu | 10 | 10 | 4 |
| Kohima | 9 | 9 | 3 |
| Tuensang | 8 | 8 | 3 |
| Longleng | 7 | 7 | 2 |
| Niuland | 7 | 7 | 2 |
| Mokokchung | 6 | 6 | 2 |
| Peren | 6 | 6 | 2 |
| Dimapur | 6 | 6 | 2 |
| Phek | 5 | 5 | 2 |
| All districts (15) | 243 | 243 | 85 |
The Hardware Retail stores database includes 243+ verified Hardware 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.
Our latest 2026 count shows 243+ live Hardware Retail stores across Nagaland, India. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
Data2Sales AI hosts the most up-to-date Hardware Retail stores list for Nagaland, India; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Per-row columns include Hardware 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 Hardware 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 Hardware 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 Hardware 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 Hardware Retail 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 243+ 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
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243
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
