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This dataset covers 2,032 verified records spread across 11+ districts in Mizoram. 2,032 records carry a verified phone number and 711 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Saitual (673 listings), Mamit (336 listings), Hnahthial (224 listings), Lawngtlai (168 listings), Khawzawl (135 listings), Champhai (112 listings), Aizawl (96 listings), and Serchhip (84 listings).
Additional coverage spans Saiha (75), Kolasib (67), Lunglei (62) .
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Saitual | 673 | 673 | 236 |
| Mamit | 336 | 336 | 118 |
| Hnahthial | 224 | 224 | 78 |
| Lawngtlai | 168 | 168 | 59 |
| Khawzawl | 135 | 135 | 47 |
| Champhai | 112 | 112 | 39 |
| Aizawl | 96 | 96 | 34 |
| Serchhip | 84 | 84 | 29 |
| Saiha | 75 | 75 | 26 |
| Kolasib | 67 | 67 | 23 |
| All districts (11) | 2,032 | 2,032 | 711 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Saitual | 673 | 673 | 236 |
| Mamit | 336 | 336 | 118 |
| Hnahthial | 224 | 224 | 78 |
| Lawngtlai | 168 | 168 | 59 |
| Khawzawl | 135 | 135 | 47 |
| Champhai | 112 | 112 | 39 |
| Aizawl | 96 | 96 | 34 |
| Serchhip | 84 | 84 | 29 |
| Saiha | 75 | 75 | 26 |
| Kolasib | 67 | 67 | 23 |
| Lunglei | 62 | 62 | 22 |
| All districts (11) | 2,032 | 2,032 | 711 |
The Clothing stores database includes 2,032+ verified Clothing stores in Mizoram, 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 2,032+ live Clothing stores across Mizoram, India. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
The complete Clothing stores database for Mizoram, India is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Clothing location with address, phone, hours, website and GPS coordinates.
Per-row columns include Clothing 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.
Triple-source verification: the Clothing store locator, Google Maps data and licensed B2B directories all have to agree before a record makes the CSV. Dead phones and 'permanently closed' markers prune the list every month.
Yes. The Clothing 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 Clothing 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 Clothing 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 Mizoram, India? This database aggregates 2,032+ 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 07, 2026 03:05 AM
Published:
May 11, 2026 02:26 AM
Rows (Regular):
914
Rows (Extended):
2,032
Category:
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
