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This dataset covers 6,006 verified records spread across 79+ districts in Uttar Pradesh. 6,006 records carry a verified phone number and 2,102 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Kannauj (1,213 listings), Lalitpur (606 listings), Amethi (404 listings), Kanpur Nagar (303 listings), Bahraich (243 listings), Barabanki (202 listings), Basti (173 listings), and Deoria (152 listings).
Additional coverage spans Budaun (135), Varanasi (121), Ayodhya (110), Kanpur Dehat (101), Kheri (93), Ballia (87), Bhadohi (81), Farrukhabad (76), Kushinagar (71), Kasganj (67), Lucknow (64), Unnao (61) , plus 59 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kannauj | 1,213 | 1,213 | 425 |
| Lalitpur | 606 | 606 | 212 |
| Amethi | 404 | 404 | 141 |
| Kanpur Nagar | 303 | 303 | 106 |
| Bahraich | 243 | 243 | 85 |
| Barabanki | 202 | 202 | 71 |
| Basti | 173 | 173 | 61 |
| Deoria | 152 | 152 | 53 |
| Budaun | 135 | 135 | 47 |
| Varanasi | 121 | 121 | 42 |
| All districts (79) | 6,006 | 6,006 | 2,102 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kannauj | 1,213 | 1,213 | 425 |
| Lalitpur | 606 | 606 | 212 |
| Amethi | 404 | 404 | 141 |
| Kanpur Nagar | 303 | 303 | 106 |
| Bahraich | 243 | 243 | 85 |
| Barabanki | 202 | 202 | 71 |
| Basti | 173 | 173 | 61 |
| Deoria | 152 | 152 | 53 |
| Budaun | 135 | 135 | 47 |
| Varanasi | 121 | 121 | 42 |
| Ayodhya | 110 | 110 | 39 |
| Kanpur Dehat | 101 | 101 | 35 |
| Kheri | 93 | 93 | 33 |
| Ballia | 87 | 87 | 30 |
| Bhadohi | 81 | 81 | 28 |
| Farrukhabad | 76 | 76 | 27 |
| Kushinagar | 71 | 71 | 25 |
| Kasganj | 67 | 67 | 23 |
| Lucknow | 64 | 64 | 22 |
| Unnao | 61 | 61 | 21 |
| Sonbhadra | 58 | 58 | 20 |
| Bareilly | 55 | 55 | 19 |
| Allahabad | 53 | 53 | 19 |
| Agra | 51 | 51 | 18 |
| Azamgarh | 49 | 49 | 17 |
| Banda | 47 | 47 | 16 |
| Firozabad | 45 | 45 | 16 |
| Mainpuri | 43 | 43 | 15 |
| Gorakhpur | 42 | 42 | 15 |
| Hathras | 40 | 40 | 14 |
| Hamirpur | 39 | 39 | 14 |
| Aligarh | 38 | 38 | 13 |
| Baghpat | 37 | 37 | 13 |
| Chandauli | 36 | 36 | 13 |
| Hardoi | 35 | 35 | 12 |
| Pilibhit | 34 | 34 | 12 |
| Shamli | 33 | 33 | 12 |
| Gonda | 32 | 32 | 11 |
| Sultanpur | 31 | 31 | 11 |
| Mirzapur | 30 | 30 | 11 |
| Maharajganj | 30 | 30 | 11 |
| Sambhal | 29 | 29 | 10 |
| Ghaziabad | 28 | 28 | 10 |
| Jhansi | 28 | 28 | 10 |
| Jalaun | 27 | 27 | 9 |
| Shahjahanpur | 26 | 26 | 9 |
| Fatehpur | 26 | 26 | 9 |
| Mathura | 25 | 25 | 9 |
| Mahoba | 25 | 25 | 9 |
| Ambedkar Nagar | 24 | 24 | 8 |
| Saharanpur | 24 | 24 | 8 |
| Kaushambi | 23 | 23 | 8 |
| Chitrakoot | 23 | 23 | 8 |
| Jaunpur | 22 | 22 | 8 |
| Moradabad | 22 | 22 | 8 |
| Sitapur | 22 | 22 | 8 |
| Raebareli | 21 | 21 | 7 |
| Kanpur | 21 | 21 | 7 |
| Sant Kabir Nagar | 21 | 21 | 7 |
| Etawah | 20 | 20 | 7 |
| Hapur | 20 | 20 | 7 |
| Muzaffarnagar | 20 | 20 | 7 |
| Etah | 19 | 19 | 7 |
| Meerut | 19 | 19 | 7 |
| Prayagraj | 19 | 19 | 7 |
| Gautam Buddha Nagar | 18 | 18 | 6 |
| Amroha | 18 | 18 | 6 |
| Shrawasti | 18 | 18 | 6 |
| Lakhimpur Kheri | 18 | 18 | 6 |
| Shravasti | 17 | 17 | 6 |
| Bulandshahr | 17 | 17 | 6 |
| Pratapgarh | 17 | 17 | 6 |
| Mau | 17 | 17 | 6 |
| Auraiya | 16 | 16 | 6 |
| Bijnor | 16 | 16 | 6 |
| Ghazipur | 16 | 16 | 6 |
| Siddharthnagar | 16 | 16 | 6 |
| Balrampur | 16 | 16 | 6 |
| Rampur | 11 | 11 | 4 |
| All districts (79) | 6,006 | 6,006 | 2,102 |
The Watch Repair Shops database for Uttar Pradesh, India includes 6,006+ verified businesses with company name, address, city, state, phone, email, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
Bharat (IN) bought 1 day ago · Sweta (IN) bought 3 days ago · Yasmin (IN) bought 3 days ago · Yamini (IN) bought 4 days ago
The Watch Repair Shops database for Uttar Pradesh, India contains 6,006+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.
The complete Watch Repair Shops database for Uttar Pradesh, India is available on this page from Data2Sales AI as an instant CSV download. Every record carries verified contact details and is delivered immediately after checkout.
Each record includes: Business name, Street address, City, State / Region, Postal code, Country, Phone number, Email address and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
Every record is cross-referenced across public business registries, Google Maps and licensed directory partners before it ships. Closed businesses, disconnected phones and duplicates are stripped on every monthly refresh, so the dataset reflects the live watch repair shops footprint in Uttar Pradesh, India.
Yes. The Watch Repair Shops dataset is rebuilt on a rolling 30-day cycle. New entrants come in through registrar filings; closures are detected from negative signals and dropped before export.
Yes — the dataset is licensed for commercial use after purchase. Common use cases include cold outbound, geo-targeted advertising, market research, supplier sourcing and territory planning. Only publicly listed business contact information is included.
You receive a UTF-8 encoded CSV. It opens in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request.
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time. 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 6,006+ 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 06, 2026 05:45 AM
Published:
May 11, 2026 02:29 AM
Rows (Regular):
3,003
Rows (Extended):
6,006
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
