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This dataset covers 5,599 verified records spread across 79+ districts in Uttar Pradesh. 5,599 records carry a verified phone number and 1,960 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Shahjahanpur (1,130 listings), Raebareli (565 listings), Moradabad (377 listings), Mau (283 listings), Shrawasti (226 listings), Farrukhabad (188 listings), Mahoba (161 listings), and Kannauj (141 listings).
Additional coverage spans Azamgarh (126), Basti (113), Kushinagar (103), Prayagraj (94), Jalaun (87), Bareilly (81), Jhansi (75), Bhadohi (71), Kheri (66), Hamirpur (63), Shravasti (59), Mainpuri (57) , plus 59 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Shahjahanpur | 1,130 | 1,130 | 396 |
| Raebareli | 565 | 565 | 198 |
| Moradabad | 377 | 377 | 132 |
| Mau | 283 | 283 | 99 |
| Shrawasti | 226 | 226 | 79 |
| Farrukhabad | 188 | 188 | 66 |
| Mahoba | 161 | 161 | 56 |
| Kannauj | 141 | 141 | 49 |
| Azamgarh | 126 | 126 | 44 |
| Basti | 113 | 113 | 40 |
| All districts (79) | 5,599 | 5,599 | 1,960 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Shahjahanpur | 1,130 | 1,130 | 396 |
| Raebareli | 565 | 565 | 198 |
| Moradabad | 377 | 377 | 132 |
| Mau | 283 | 283 | 99 |
| Shrawasti | 226 | 226 | 79 |
| Farrukhabad | 188 | 188 | 66 |
| Mahoba | 161 | 161 | 56 |
| Kannauj | 141 | 141 | 49 |
| Azamgarh | 126 | 126 | 44 |
| Basti | 113 | 113 | 40 |
| Kushinagar | 103 | 103 | 36 |
| Prayagraj | 94 | 94 | 33 |
| Jalaun | 87 | 87 | 30 |
| Bareilly | 81 | 81 | 28 |
| Jhansi | 75 | 75 | 26 |
| Bhadohi | 71 | 71 | 25 |
| Kheri | 66 | 66 | 23 |
| Hamirpur | 63 | 63 | 22 |
| Shravasti | 59 | 59 | 21 |
| Mainpuri | 57 | 57 | 20 |
| Balrampur | 54 | 54 | 19 |
| Siddharthnagar | 51 | 51 | 18 |
| Ayodhya | 49 | 49 | 17 |
| Pilibhit | 47 | 47 | 16 |
| Rampur | 45 | 45 | 16 |
| Bahraich | 43 | 43 | 15 |
| Etah | 42 | 42 | 15 |
| Bijnor | 40 | 40 | 14 |
| Banda | 39 | 39 | 14 |
| Lalitpur | 38 | 38 | 13 |
| Ghaziabad | 36 | 36 | 13 |
| Varanasi | 35 | 35 | 12 |
| Unnao | 34 | 34 | 12 |
| Kasganj | 33 | 33 | 12 |
| Lucknow | 32 | 32 | 11 |
| Gonda | 31 | 31 | 11 |
| Baghpat | 31 | 31 | 11 |
| Ambedkar Nagar | 30 | 30 | 11 |
| Aligarh | 29 | 29 | 10 |
| Amroha | 28 | 28 | 10 |
| Meerut | 28 | 28 | 10 |
| Etawah | 27 | 27 | 9 |
| Kanpur | 26 | 26 | 9 |
| Gautam Buddha Nagar | 26 | 26 | 9 |
| Kaushambi | 25 | 25 | 9 |
| Hathras | 25 | 25 | 9 |
| Kanpur Dehat | 24 | 24 | 8 |
| Sambhal | 24 | 24 | 8 |
| Ballia | 23 | 23 | 8 |
| Allahabad | 23 | 23 | 8 |
| Sonbhadra | 22 | 22 | 8 |
| Gorakhpur | 22 | 22 | 8 |
| Maharajganj | 21 | 21 | 7 |
| Budaun | 21 | 21 | 7 |
| Kanpur Nagar | 21 | 21 | 7 |
| Muzaffarnagar | 20 | 20 | 7 |
| Jaunpur | 20 | 20 | 7 |
| Deoria | 19 | 19 | 7 |
| Firozabad | 19 | 19 | 7 |
| Pratapgarh | 19 | 19 | 7 |
| Sultanpur | 19 | 19 | 7 |
| Amethi | 18 | 18 | 6 |
| Chandauli | 18 | 18 | 6 |
| Mathura | 18 | 18 | 6 |
| Ghazipur | 17 | 17 | 6 |
| Lakhimpur Kheri | 17 | 17 | 6 |
| Sant Kabir Nagar | 17 | 17 | 6 |
| Bulandshahr | 17 | 17 | 6 |
| Fatehpur | 17 | 17 | 6 |
| Hapur | 16 | 16 | 6 |
| Barabanki | 16 | 16 | 6 |
| Shamli | 16 | 16 | 6 |
| Mirzapur | 16 | 16 | 6 |
| Hardoi | 15 | 15 | 5 |
| Agra | 15 | 15 | 5 |
| Sitapur | 15 | 15 | 5 |
| Auraiya | 15 | 15 | 5 |
| Chitrakoot | 15 | 15 | 5 |
| Saharanpur | 14 | 14 | 5 |
| All districts (79) | 5,599 | 5,599 | 1,960 |
The Uttar Pradesh Tile stores database includes 5,599+ verified Uttar Pradesh Tile 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.
Our latest 2026 count shows 5,599+ live Uttar Pradesh Tile 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 Uttar Pradesh Tile stores list for Uttar Pradesh, India; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Every record in the Uttar Pradesh Tile stores dataset includes: Uttar Pradesh Tile store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
Each Uttar Pradesh Tile row goes through phone validation, address cross-check against Google Maps and a check against the official Uttar Pradesh Tile Uttar Pradesh, India locator. Records that fail any of those drop before you ever see them.
Yes. The Uttar Pradesh Tile 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 Uttar Pradesh Tile 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 Uttar Pradesh Tile 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 5,599+ 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):
2,520
Rows (Extended):
5,599
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
