Install Data2Sales AI
Faster access, offline browsing, and a one-tap shortcut on your home screen.
This dataset covers 4,377 verified records spread across 79+ districts in Uttar Pradesh. 4,377 records carry a verified phone number and 1,532 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Prayagraj (884 listings), Unnao (442 listings), Jhansi (295 listings), Shrawasti (221 listings), Raebareli (177 listings), Banda (147 listings), Moradabad (126 listings), and Sambhal (110 listings).
Additional coverage spans Mirzapur (98), Balrampur (88), Mathura (80), Kushinagar (74), Shravasti (68), Mahoba (63), Jalaun (59), Jaunpur (55), Gonda (52), Fatehpur (49), Sitapur (47), Mau (44) , plus 59 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Prayagraj | 884 | 884 | 309 |
| Unnao | 442 | 442 | 155 |
| Jhansi | 295 | 295 | 103 |
| Shrawasti | 221 | 221 | 77 |
| Raebareli | 177 | 177 | 62 |
| Banda | 147 | 147 | 51 |
| Moradabad | 126 | 126 | 44 |
| Sambhal | 110 | 110 | 39 |
| Mirzapur | 98 | 98 | 34 |
| Balrampur | 88 | 88 | 31 |
| All districts (79) | 4,377 | 4,377 | 1,532 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Prayagraj | 884 | 884 | 309 |
| Unnao | 442 | 442 | 155 |
| Jhansi | 295 | 295 | 103 |
| Shrawasti | 221 | 221 | 77 |
| Raebareli | 177 | 177 | 62 |
| Banda | 147 | 147 | 51 |
| Moradabad | 126 | 126 | 44 |
| Sambhal | 110 | 110 | 39 |
| Mirzapur | 98 | 98 | 34 |
| Balrampur | 88 | 88 | 31 |
| Mathura | 80 | 80 | 28 |
| Kushinagar | 74 | 74 | 26 |
| Shravasti | 68 | 68 | 24 |
| Mahoba | 63 | 63 | 22 |
| Jalaun | 59 | 59 | 21 |
| Jaunpur | 55 | 55 | 19 |
| Gonda | 52 | 52 | 18 |
| Fatehpur | 49 | 49 | 17 |
| Sitapur | 47 | 47 | 16 |
| Mau | 44 | 44 | 15 |
| Amroha | 42 | 42 | 15 |
| Basti | 40 | 40 | 14 |
| Etawah | 38 | 38 | 13 |
| Ghaziabad | 37 | 37 | 13 |
| Meerut | 35 | 35 | 12 |
| Kanpur | 34 | 34 | 12 |
| Kanpur Nagar | 33 | 33 | 12 |
| Kaushambi | 32 | 32 | 11 |
| Rampur | 30 | 30 | 11 |
| Ghazipur | 29 | 29 | 10 |
| Bijnor | 29 | 29 | 10 |
| Auraiya | 28 | 28 | 10 |
| Etah | 27 | 27 | 9 |
| Farrukhabad | 26 | 26 | 9 |
| Kheri | 25 | 25 | 9 |
| Kanpur Dehat | 25 | 25 | 9 |
| Budaun | 24 | 24 | 8 |
| Kannauj | 23 | 23 | 8 |
| Varanasi | 23 | 23 | 8 |
| Sonbhadra | 22 | 22 | 8 |
| Siddharthnagar | 22 | 22 | 8 |
| Deoria | 21 | 21 | 7 |
| Allahabad | 21 | 21 | 7 |
| Amethi | 20 | 20 | 7 |
| Bahraich | 20 | 20 | 7 |
| Pratapgarh | 19 | 19 | 7 |
| Gautam Buddha Nagar | 19 | 19 | 7 |
| Muzaffarnagar | 18 | 18 | 6 |
| Hapur | 18 | 18 | 6 |
| Lalitpur | 18 | 18 | 6 |
| Chandauli | 17 | 17 | 6 |
| Bulandshahr | 17 | 17 | 6 |
| Ayodhya | 17 | 17 | 6 |
| Ballia | 16 | 16 | 6 |
| Sultanpur | 16 | 16 | 6 |
| Firozabad | 16 | 16 | 6 |
| Bhadohi | 16 | 16 | 6 |
| Lakhimpur Kheri | 15 | 15 | 5 |
| Gorakhpur | 15 | 15 | 5 |
| Maharajganj | 15 | 15 | 5 |
| Azamgarh | 14 | 14 | 5 |
| Saharanpur | 14 | 14 | 5 |
| Kasganj | 14 | 14 | 5 |
| Chitrakoot | 14 | 14 | 5 |
| Bareilly | 14 | 14 | 5 |
| Lucknow | 13 | 13 | 5 |
| Sant Kabir Nagar | 13 | 13 | 5 |
| Ambedkar Nagar | 13 | 13 | 5 |
| Barabanki | 13 | 13 | 5 |
| Hardoi | 13 | 13 | 5 |
| Hathras | 12 | 12 | 4 |
| Shamli | 12 | 12 | 4 |
| Pilibhit | 12 | 12 | 4 |
| Baghpat | 12 | 12 | 4 |
| Aligarh | 12 | 12 | 4 |
| Hamirpur | 12 | 12 | 4 |
| Shahjahanpur | 11 | 11 | 4 |
| Mainpuri | 11 | 11 | 4 |
| Agra | 11 | 11 | 4 |
| All districts (79) | 4,377 | 4,377 | 1,532 |
The Electronics Retail stores database includes 4,377+ verified Electronics 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.
Electronics Retail currently operates 4,377+ stores in Uttar Pradesh, India (as of 2026). Buy access on this page and you get the master CSV with every store's verified contact + geolocation row.
This page IS the download point. The Electronics Retail stores CSV for Uttar Pradesh, India ships immediately after payment and includes all verified store-level fields.
Per-row columns include Electronics 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 Electronics 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 Electronics 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 Electronics 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 Electronics Retail stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
The World Wide Data Database for Uttar Pradesh, India is a 4,377+ verified records directory of world wide data businesses — aggregated through the Data2Sales AI engine, cross-referenced across public business registries, official company websites, licensed directory partners, and social platforms, then re-verified monthly so every record in the export is deliverable on day one.
Last Update:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 02:29 AM
Rows (Regular):
1,970
Rows (Extended):
4,377
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
