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This dataset covers 5,003 verified records spread across 79+ districts in Uttar Pradesh. 5,003 records carry a verified phone number and 1,751 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Banda (1,010 listings), Ghazipur (505 listings), Sultanpur (337 listings), Chandauli (253 listings), Unnao (202 listings), Gorakhpur (168 listings), Lucknow (144 listings), and Firozabad (126 listings).
Additional coverage spans Kasganj (112), Pratapgarh (101), Aligarh (92), Allahabad (84), Baghpat (78), Gonda (72), Hardoi (67), Shamli (63), Sonbhadra (59), Hathras (56), Budaun (53), Kanpur Dehat (51) , plus 59 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Banda | 1,010 | 1,010 | 354 |
| Ghazipur | 505 | 505 | 177 |
| Sultanpur | 337 | 337 | 118 |
| Chandauli | 253 | 253 | 89 |
| Unnao | 202 | 202 | 71 |
| Gorakhpur | 168 | 168 | 59 |
| Lucknow | 144 | 144 | 50 |
| Firozabad | 126 | 126 | 44 |
| Kasganj | 112 | 112 | 39 |
| Pratapgarh | 101 | 101 | 35 |
| All districts (79) | 5,003 | 5,003 | 1,751 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Banda | 1,010 | 1,010 | 354 |
| Ghazipur | 505 | 505 | 177 |
| Sultanpur | 337 | 337 | 118 |
| Chandauli | 253 | 253 | 89 |
| Unnao | 202 | 202 | 71 |
| Gorakhpur | 168 | 168 | 59 |
| Lucknow | 144 | 144 | 50 |
| Firozabad | 126 | 126 | 44 |
| Kasganj | 112 | 112 | 39 |
| Pratapgarh | 101 | 101 | 35 |
| Aligarh | 92 | 92 | 32 |
| Allahabad | 84 | 84 | 29 |
| Baghpat | 78 | 78 | 27 |
| Gonda | 72 | 72 | 25 |
| Hardoi | 67 | 67 | 23 |
| Shamli | 63 | 63 | 22 |
| Sonbhadra | 59 | 59 | 21 |
| Hathras | 56 | 56 | 20 |
| Budaun | 53 | 53 | 19 |
| Kanpur Dehat | 51 | 51 | 18 |
| Deoria | 48 | 48 | 17 |
| Gautam Buddha Nagar | 46 | 46 | 16 |
| Basti | 44 | 44 | 15 |
| Fatehpur | 42 | 42 | 15 |
| Kannauj | 40 | 40 | 14 |
| Amethi | 39 | 39 | 14 |
| Kanpur Nagar | 37 | 37 | 13 |
| Bhadohi | 36 | 36 | 13 |
| Muzaffarnagar | 35 | 35 | 12 |
| Kheri | 34 | 34 | 12 |
| Ballia | 33 | 33 | 12 |
| Farrukhabad | 32 | 32 | 11 |
| Etah | 31 | 31 | 11 |
| Chitrakoot | 30 | 30 | 11 |
| Barabanki | 29 | 29 | 10 |
| Mirzapur | 28 | 28 | 10 |
| Saharanpur | 27 | 27 | 9 |
| Ayodhya | 27 | 27 | 9 |
| Pilibhit | 26 | 26 | 9 |
| Balrampur | 25 | 25 | 9 |
| Amroha | 25 | 25 | 9 |
| Ambedkar Nagar | 24 | 24 | 8 |
| Etawah | 23 | 23 | 8 |
| Kushinagar | 23 | 23 | 8 |
| Hapur | 22 | 22 | 8 |
| Meerut | 22 | 22 | 8 |
| Mainpuri | 21 | 21 | 7 |
| Kanpur | 21 | 21 | 7 |
| Sitapur | 21 | 21 | 7 |
| Lakhimpur Kheri | 20 | 20 | 7 |
| Hamirpur | 20 | 20 | 7 |
| Shravasti | 19 | 19 | 7 |
| Shrawasti | 19 | 19 | 7 |
| Bulandshahr | 19 | 19 | 7 |
| Bareilly | 18 | 18 | 6 |
| Rampur | 18 | 18 | 6 |
| Auraiya | 18 | 18 | 6 |
| Prayagraj | 17 | 17 | 6 |
| Azamgarh | 17 | 17 | 6 |
| Bijnor | 17 | 17 | 6 |
| Sant Kabir Nagar | 17 | 17 | 6 |
| Raebareli | 16 | 16 | 6 |
| Moradabad | 16 | 16 | 6 |
| Jhansi | 16 | 16 | 6 |
| Maharajganj | 16 | 16 | 6 |
| Sambhal | 15 | 15 | 5 |
| Kaushambi | 15 | 15 | 5 |
| Shahjahanpur | 15 | 15 | 5 |
| Mau | 15 | 15 | 5 |
| Siddharthnagar | 14 | 14 | 5 |
| Ghaziabad | 14 | 14 | 5 |
| Varanasi | 14 | 14 | 5 |
| Jaunpur | 14 | 14 | 5 |
| Lalitpur | 14 | 14 | 5 |
| Jalaun | 14 | 14 | 5 |
| Mahoba | 13 | 13 | 5 |
| Agra | 13 | 13 | 5 |
| Bahraich | 13 | 13 | 5 |
| Mathura | 13 | 13 | 5 |
| All districts (79) | 5,003 | 5,003 | 1,751 |
The Tobacco stores database includes 5,003+ verified Tobacco 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.
Moti (IN) bought 1 week ago · Jagat (IN) bought 1 week ago · Avantika (IN) bought 1 week ago · Nishi (IN) bought 1 week ago · Balaji (IN) bought 1 week ago
There are roughly 5,003+ Tobacco stores in Uttar Pradesh, India as of 2026. The full list is available as a CSV download on this page with name, address, phone, hours and GPS coordinates for every location.
Data2Sales AI hosts the most up-to-date Tobacco stores list for Uttar Pradesh, India; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Each Tobacco record carries the full operational profile: Tobacco 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 Tobacco row goes through phone validation, address cross-check against Google Maps and a check against the official Tobacco Uttar Pradesh, India locator. Records that fail any of those drop before you ever see them.
Yes. The Tobacco 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 Tobacco 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 Tobacco stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
This World Wide Data list covers 5,003+ verified records operating in Uttar Pradesh, India. Every entry is compiled by the Data2Sales AI engine from multiple verified sources, de-duplicated against our master index, and refreshed each month — saving sales, marketing, and research teams the manual cleanup normally needed before outreach.
Last Update:
Aug 10, 2026 05:45 AM
Published:
Jul 06, 2026 04:22 AM
Rows (Regular):
2,502
Rows (Extended):
5,003
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
