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This dataset covers 7,377 verified records spread across 26+ states in India. 7,377 records carry a verified phone number and 1,896 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density states are Telangana (3,633 listings), Uttar Pradesh (2,933 listings), Tripura (315 listings), West Bengal (179 listings), Tamil Nadu (51 listings), Gujarat (50 listings), Maharashtra (37 listings), and Karnataka (32 listings).
Additional coverage spans Uttarakhand (29), Punjab (17), Assam (15), Rajasthan (14), Madhya Pradesh (14), Bihar (10), Andhra Pradesh (10), Jammu and Kashmir (7), Jharkhand (7), Kerala (6), Chhattisgarh (6), Delhi (6) , plus 6 more states.
| States | Total | With mobile | With website |
|---|---|---|---|
| Telangana | 3,633 | 3,633 | 1,109 |
| Uttar Pradesh | 2,933 | 2,933 | 506 |
| Tripura | 315 | 315 | 63 |
| West Bengal | 179 | 179 | 58 |
| Tamil Nadu | 51 | 51 | 46 |
| Gujarat | 50 | 50 | 31 |
| Maharashtra | 37 | 37 | 17 |
| Karnataka | 32 | 32 | 25 |
| Uttarakhand | 29 | 29 | 2 |
| Punjab | 17 | 17 | 2 |
| Assam | 15 | 15 | 2 |
| Rajasthan | 14 | 14 | 1 |
| Madhya Pradesh | 14 | 14 | 3 |
| Bihar | 10 | 10 | 8 |
| Andhra Pradesh | 10 | 10 | 8 |
| Jammu and Kashmir | 7 | 7 | 1 |
| Jharkhand | 7 | 7 | 3 |
| Kerala | 6 | 6 | 0 |
| Chhattisgarh | 6 | 6 | 2 |
| Delhi | 6 | 6 | 4 |
| Himachal Pradesh | 1 | 1 | 1 |
| Nagaland | 1 | 1 | 1 |
| Odisha | 1 | 1 | 0 |
| Goa | 1 | 1 | 1 |
| Chandigarh | 1 | 1 | 1 |
| Mizoram | 1 | 1 | 1 |
| All states (26) | 7,377 | 7,377 | 1,896 |
The Clothing stores database includes 323+ verified Clothing stores in 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.
Himani (IN) bought 1 day ago · Mukund (IN) bought 4 days ago · Sushmita (IN) bought 6 days ago · Mohit (IN) bought 1 week ago · Kusum (IN) bought 1 week ago
Counting only operational sites, the Clothing footprint in India sits at about 323+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
Data2Sales AI hosts the most up-to-date Clothing stores list for India; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Each Clothing record carries the full operational profile: Clothing 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.
Each Clothing row goes through phone validation, address cross-check against Google Maps and a check against the official Clothing India locator. Records that fail any of those drop before you ever see them.
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.
Are you looking to expand your reach within India's vibrant clothing retail sector? Our curated list of 323 businesses specifically targets clothing stores, providing you with detailed contact information to connect with independent boutiques and multi-brand outlets seeking to enhance their inventory and reach new customers.
Last Update:
Jul 30, 2026 03:00 AM
Published:
May 11, 2026 01:31 AM
Rows (Extended):
323
Category:
