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This dataset covers 15,809 verified records spread across 79+ districts in Uttar Pradesh. 15,809 records carry a verified phone number and 5,533 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Pratapgarh (3,192 listings), Balrampur (1,596 listings), Bhadohi (1,064 listings), Ayodhya (798 listings), Shravasti (638 listings), Ghazipur (532 listings), Farrukhabad (456 listings), and Etah (399 listings).
Additional coverage spans Lakhimpur Kheri (355), Shamli (319), Hardoi (290), Prayagraj (266), Shrawasti (246), Muzaffarnagar (228), Sant Kabir Nagar (213), Moradabad (199), Raebareli (188), Kannauj (177), Deoria (168), Kaushambi (160) , plus 59 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Pratapgarh | 3,192 | 3,192 | 1,117 |
| Balrampur | 1,596 | 1,596 | 559 |
| Bhadohi | 1,064 | 1,064 | 372 |
| Ayodhya | 798 | 798 | 279 |
| Shravasti | 638 | 638 | 223 |
| Ghazipur | 532 | 532 | 186 |
| Farrukhabad | 456 | 456 | 160 |
| Etah | 399 | 399 | 140 |
| Lakhimpur Kheri | 355 | 355 | 124 |
| Shamli | 319 | 319 | 112 |
| All districts (79) | 15,809 | 15,809 | 5,533 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Pratapgarh | 3,192 | 3,192 | 1,117 |
| Balrampur | 1,596 | 1,596 | 559 |
| Bhadohi | 1,064 | 1,064 | 372 |
| Ayodhya | 798 | 798 | 279 |
| Shravasti | 638 | 638 | 223 |
| Ghazipur | 532 | 532 | 186 |
| Farrukhabad | 456 | 456 | 160 |
| Etah | 399 | 399 | 140 |
| Lakhimpur Kheri | 355 | 355 | 124 |
| Shamli | 319 | 319 | 112 |
| Hardoi | 290 | 290 | 102 |
| Prayagraj | 266 | 266 | 93 |
| Shrawasti | 246 | 246 | 86 |
| Muzaffarnagar | 228 | 228 | 80 |
| Sant Kabir Nagar | 213 | 213 | 75 |
| Moradabad | 199 | 199 | 70 |
| Raebareli | 188 | 188 | 66 |
| Kannauj | 177 | 177 | 62 |
| Deoria | 168 | 168 | 59 |
| Kaushambi | 160 | 160 | 56 |
| Fatehpur | 152 | 152 | 53 |
| Baghpat | 145 | 145 | 51 |
| Budaun | 139 | 139 | 49 |
| Aligarh | 133 | 133 | 47 |
| Saharanpur | 128 | 128 | 45 |
| Hathras | 123 | 123 | 43 |
| Amethi | 118 | 118 | 41 |
| Chitrakoot | 114 | 114 | 40 |
| Mirzapur | 110 | 110 | 39 |
| Hapur | 106 | 106 | 37 |
| Ballia | 103 | 103 | 36 |
| Shahjahanpur | 100 | 100 | 35 |
| Ghaziabad | 97 | 97 | 34 |
| Kasganj | 94 | 94 | 33 |
| Lucknow | 91 | 91 | 32 |
| Meerut | 89 | 89 | 31 |
| Jaunpur | 86 | 86 | 30 |
| Etawah | 84 | 84 | 29 |
| Chandauli | 82 | 82 | 29 |
| Mainpuri | 80 | 80 | 28 |
| Kheri | 78 | 78 | 27 |
| Sultanpur | 76 | 76 | 27 |
| Hamirpur | 74 | 74 | 26 |
| Amroha | 73 | 73 | 26 |
| Agra | 71 | 71 | 25 |
| Firozabad | 69 | 69 | 24 |
| Mathura | 68 | 68 | 24 |
| Pilibhit | 66 | 66 | 23 |
| Gorakhpur | 65 | 65 | 23 |
| Gautam Buddha Nagar | 64 | 64 | 22 |
| Kanpur | 63 | 63 | 22 |
| Kushinagar | 61 | 61 | 21 |
| Sonbhadra | 60 | 60 | 21 |
| Bijnor | 59 | 59 | 21 |
| Rampur | 58 | 58 | 20 |
| Allahabad | 57 | 57 | 20 |
| Maharajganj | 56 | 56 | 20 |
| Sambhal | 55 | 55 | 19 |
| Bareilly | 54 | 54 | 19 |
| Siddharthnagar | 53 | 53 | 19 |
| Basti | 52 | 52 | 18 |
| Azamgarh | 51 | 51 | 18 |
| Gonda | 51 | 51 | 18 |
| Kanpur Nagar | 50 | 50 | 18 |
| Bulandshahr | 49 | 49 | 17 |
| Auraiya | 48 | 48 | 17 |
| Jhansi | 48 | 48 | 17 |
| Ambedkar Nagar | 47 | 47 | 16 |
| Kanpur Dehat | 46 | 46 | 16 |
| Lalitpur | 46 | 46 | 16 |
| Banda | 45 | 45 | 16 |
| Bahraich | 44 | 44 | 15 |
| Jalaun | 44 | 44 | 15 |
| Unnao | 43 | 43 | 15 |
| Sitapur | 43 | 43 | 15 |
| Mahoba | 42 | 42 | 15 |
| Mau | 41 | 41 | 14 |
| Barabanki | 41 | 41 | 14 |
| Varanasi | 40 | 40 | 14 |
| All districts (79) | 15,809 | 15,809 | 5,533 |
The Tobacco & Smoke Shops database for Uttar Pradesh, India includes 15,809+ 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.
The Tobacco & Smoke Shops database for Uttar Pradesh, India contains 15,809+ 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 Tobacco & Smoke 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 tobacco & smoke shops footprint in Uttar Pradesh, India.
Yes. The Tobacco & Smoke 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.
The World Wide Data Database for Uttar Pradesh, India is a 15,809+ 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:
Jul 06, 2026 04:24 AM
Rows (Regular):
7,114
Rows (Extended):
15,809
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
