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This dataset covers 3,648 verified records spread across 79+ districts in Uttar Pradesh. 3,648 records carry a verified phone number and 1,277 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Banda (737 listings), Ayodhya (368 listings), Barabanki (246 listings), Bhadohi (184 listings), Shamli (147 listings), Shahjahanpur (123 listings), Hardoi (105 listings), and Siddharthnagar (92 listings).
Additional coverage spans Farrukhabad (82), Unnao (74), Varanasi (67), Kannauj (61), Gonda (57), Kushinagar (53), Bahraich (49), Etah (46), Lalitpur (43), Ambedkar Nagar (41), Allahabad (39), Hathras (37) , plus 59 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Banda | 737 | 737 | 258 |
| Ayodhya | 368 | 368 | 129 |
| Barabanki | 246 | 246 | 86 |
| Bhadohi | 184 | 184 | 64 |
| Shamli | 147 | 147 | 51 |
| Shahjahanpur | 123 | 123 | 43 |
| Hardoi | 105 | 105 | 37 |
| Siddharthnagar | 92 | 92 | 32 |
| Farrukhabad | 82 | 82 | 29 |
| Unnao | 74 | 74 | 26 |
| All districts (79) | 3,648 | 3,648 | 1,277 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Banda | 737 | 737 | 258 |
| Ayodhya | 368 | 368 | 129 |
| Barabanki | 246 | 246 | 86 |
| Bhadohi | 184 | 184 | 64 |
| Shamli | 147 | 147 | 51 |
| Shahjahanpur | 123 | 123 | 43 |
| Hardoi | 105 | 105 | 37 |
| Siddharthnagar | 92 | 92 | 32 |
| Farrukhabad | 82 | 82 | 29 |
| Unnao | 74 | 74 | 26 |
| Varanasi | 67 | 67 | 23 |
| Kannauj | 61 | 61 | 21 |
| Gonda | 57 | 57 | 20 |
| Kushinagar | 53 | 53 | 19 |
| Bahraich | 49 | 49 | 17 |
| Etah | 46 | 46 | 16 |
| Lalitpur | 43 | 43 | 15 |
| Ambedkar Nagar | 41 | 41 | 14 |
| Allahabad | 39 | 39 | 14 |
| Hathras | 37 | 37 | 13 |
| Sant Kabir Nagar | 35 | 35 | 12 |
| Sonbhadra | 33 | 33 | 12 |
| Pilibhit | 32 | 32 | 11 |
| Mau | 31 | 31 | 11 |
| Ballia | 29 | 29 | 10 |
| Hamirpur | 28 | 28 | 10 |
| Aligarh | 27 | 27 | 9 |
| Baghpat | 26 | 26 | 9 |
| Mainpuri | 25 | 25 | 9 |
| Basti | 25 | 25 | 9 |
| Sultanpur | 24 | 24 | 8 |
| Azamgarh | 23 | 23 | 8 |
| Kheri | 22 | 22 | 8 |
| Lucknow | 22 | 22 | 8 |
| Bareilly | 21 | 21 | 7 |
| Amethi | 20 | 20 | 7 |
| Kasganj | 20 | 20 | 7 |
| Chandauli | 19 | 19 | 7 |
| Deoria | 19 | 19 | 7 |
| Gorakhpur | 18 | 18 | 6 |
| Muzaffarnagar | 18 | 18 | 6 |
| Firozabad | 18 | 18 | 6 |
| Budaun | 17 | 17 | 6 |
| Ghaziabad | 17 | 17 | 6 |
| Pratapgarh | 16 | 16 | 6 |
| Hapur | 16 | 16 | 6 |
| Mathura | 16 | 16 | 6 |
| Bijnor | 15 | 15 | 5 |
| Kanpur Dehat | 15 | 15 | 5 |
| Fatehpur | 15 | 15 | 5 |
| Rampur | 14 | 14 | 5 |
| Jaunpur | 14 | 14 | 5 |
| Lakhimpur Kheri | 14 | 14 | 5 |
| Maharajganj | 14 | 14 | 5 |
| Kanpur | 13 | 13 | 5 |
| Kaushambi | 13 | 13 | 5 |
| Agra | 13 | 13 | 5 |
| Sambhal | 13 | 13 | 5 |
| Meerut | 12 | 12 | 4 |
| Etawah | 12 | 12 | 4 |
| Amroha | 12 | 12 | 4 |
| Mirzapur | 12 | 12 | 4 |
| Kanpur Nagar | 12 | 12 | 4 |
| Jalaun | 12 | 12 | 4 |
| Shrawasti | 11 | 11 | 4 |
| Bulandshahr | 11 | 11 | 4 |
| Ghazipur | 11 | 11 | 4 |
| Prayagraj | 11 | 11 | 4 |
| Mahoba | 11 | 11 | 4 |
| Chitrakoot | 11 | 11 | 4 |
| Gautam Buddha Nagar | 10 | 10 | 4 |
| Auraiya | 10 | 10 | 4 |
| Moradabad | 10 | 10 | 4 |
| Saharanpur | 10 | 10 | 4 |
| Raebareli | 10 | 10 | 4 |
| Sitapur | 10 | 10 | 4 |
| Balrampur | 10 | 10 | 4 |
| Jhansi | 10 | 10 | 4 |
| Shravasti | 9 | 9 | 3 |
| All districts (79) | 3,648 | 3,648 | 1,277 |
The Kids Wear Retail stores database includes 3,648+ verified Kids Wear Retail stores in Uttar Pradesh, 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.
Rupesh (IN) bought 1 day ago · Nupur (IN) bought 1 day ago · Esha (IN) bought 3 days ago · Aayushman (IN) bought 3 days ago · Sheetal (IN) bought 4 days ago
Our latest 2026 count shows 3,648+ live Kids Wear Retail stores across Uttar Pradesh, 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 Kids Wear Retail stores list for Uttar Pradesh, India; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Per-row columns include Kids Wear 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 Kids Wear 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 Uttar Pradesh, India footprint, not last year's.
Yes. The Kids Wear 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 Kids Wear 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 Kids Wear Retail 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 Uttar Pradesh, India consolidates 3,648+ 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:
Aug 17, 2026 05:45 AM
Published:
May 11, 2026 02:29 AM
Rows (Regular):
1,824
Rows (Extended):
3,648
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
