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This dataset covers 1,414 verified records spread across 15+ districts in Nagaland. 1,414 records carry a verified phone number and 495 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Tuensang (426 listings), Longleng (213 listings), Phek (142 listings), Wokha (107 listings), Kiphire (85 listings), Kohima (71 listings), Noklak (61 listings), and Zunheboto (53 listings).
Additional coverage spans Chumoukedima (47), Dimapur (43), Mon (39), Peren (36), Niuland (33), Tseminyu (30), Mokokchung (28) .
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Tuensang | 426 | 426 | 149 |
| Longleng | 213 | 213 | 75 |
| Phek | 142 | 142 | 50 |
| Wokha | 107 | 107 | 37 |
| Kiphire | 85 | 85 | 30 |
| Kohima | 71 | 71 | 25 |
| Noklak | 61 | 61 | 21 |
| Zunheboto | 53 | 53 | 19 |
| Chumoukedima | 47 | 47 | 16 |
| Dimapur | 43 | 43 | 15 |
| All districts (15) | 1,414 | 1,414 | 495 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Tuensang | 426 | 426 | 149 |
| Longleng | 213 | 213 | 75 |
| Phek | 142 | 142 | 50 |
| Wokha | 107 | 107 | 37 |
| Kiphire | 85 | 85 | 30 |
| Kohima | 71 | 71 | 25 |
| Noklak | 61 | 61 | 21 |
| Zunheboto | 53 | 53 | 19 |
| Chumoukedima | 47 | 47 | 16 |
| Dimapur | 43 | 43 | 15 |
| Mon | 39 | 39 | 14 |
| Peren | 36 | 36 | 13 |
| Niuland | 33 | 33 | 12 |
| Tseminyu | 30 | 30 | 11 |
| Mokokchung | 28 | 28 | 10 |
| All districts (15) | 1,414 | 1,414 | 495 |
The Grocery stores database includes 1,414+ verified Grocery 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 1,414+ live Grocery stores across Nagaland, India. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
The complete Grocery stores database for Nagaland, India is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Grocery location with address, phone, hours, website and GPS coordinates.
Each Grocery record carries the full operational profile: Grocery store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL along with website, hours, Google rating and review volume. CSV opens directly in Excel / Sheets / Power BI / Looker.
Every Grocery location is cross-referenced across the Grocery store locator, Google Maps and licensed business directories before it ships. Closed storefronts, disconnected phones and duplicate listings are stripped on every monthly refresh, so the CSV you download reflects the live Grocery footprint in Nagaland, India.
Yes. The Grocery 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 Grocery 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 Grocery stores — 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 1,414+ 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.
Last Update:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 02:26 AM
Rows (Regular):
636
Rows (Extended):
1,414
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
