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This dataset covers 21,970 verified records spread across 79+ districts in Uttar Pradesh. 21,970 records carry a verified phone number and 7,690 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Kushinagar (4,436 listings), Ballia (2,218 listings), Kasganj (1,479 listings), Lucknow (1,109 listings), Ghaziabad (887 listings), Sant Kabir Nagar (739 listings), Varanasi (634 listings), and Budaun (554 listings).
Additional coverage spans Aligarh (493), Baghpat (444), Deoria (403), Siddharthnagar (370), Amethi (341), Hathras (317), Kaushambi (296), Bahraich (277), Lalitpur (261), Moradabad (246), Shahjahanpur (233), Hapur (222) , plus 59 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kushinagar | 4,436 | 4,436 | 1,553 |
| Ballia | 2,218 | 2,218 | 776 |
| Kasganj | 1,479 | 1,479 | 518 |
| Lucknow | 1,109 | 1,109 | 388 |
| Ghaziabad | 887 | 887 | 310 |
| Sant Kabir Nagar | 739 | 739 | 259 |
| Varanasi | 634 | 634 | 222 |
| Budaun | 554 | 554 | 194 |
| Aligarh | 493 | 493 | 173 |
| Baghpat | 444 | 444 | 155 |
| All districts (79) | 21,970 | 21,970 | 7,690 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kushinagar | 4,436 | 4,436 | 1,553 |
| Ballia | 2,218 | 2,218 | 776 |
| Kasganj | 1,479 | 1,479 | 518 |
| Lucknow | 1,109 | 1,109 | 388 |
| Ghaziabad | 887 | 887 | 310 |
| Sant Kabir Nagar | 739 | 739 | 259 |
| Varanasi | 634 | 634 | 222 |
| Budaun | 554 | 554 | 194 |
| Aligarh | 493 | 493 | 173 |
| Baghpat | 444 | 444 | 155 |
| Deoria | 403 | 403 | 141 |
| Siddharthnagar | 370 | 370 | 130 |
| Amethi | 341 | 341 | 119 |
| Hathras | 317 | 317 | 111 |
| Kaushambi | 296 | 296 | 104 |
| Bahraich | 277 | 277 | 97 |
| Lalitpur | 261 | 261 | 91 |
| Moradabad | 246 | 246 | 86 |
| Shahjahanpur | 233 | 233 | 82 |
| Hapur | 222 | 222 | 78 |
| Raebareli | 211 | 211 | 74 |
| Pilibhit | 202 | 202 | 71 |
| Shamli | 193 | 193 | 68 |
| Hardoi | 185 | 185 | 65 |
| Hamirpur | 177 | 177 | 62 |
| Prayagraj | 171 | 171 | 60 |
| Mainpuri | 164 | 164 | 57 |
| Shrawasti | 158 | 158 | 55 |
| Kannauj | 153 | 153 | 54 |
| Shravasti | 148 | 148 | 52 |
| Azamgarh | 143 | 143 | 50 |
| Muzaffarnagar | 139 | 139 | 49 |
| Ambedkar Nagar | 134 | 134 | 47 |
| Bareilly | 130 | 130 | 46 |
| Bhadohi | 127 | 127 | 44 |
| Farrukhabad | 123 | 123 | 43 |
| Ayodhya | 120 | 120 | 42 |
| Etah | 117 | 117 | 41 |
| Balrampur | 114 | 114 | 40 |
| Barabanki | 111 | 111 | 39 |
| Mahoba | 108 | 108 | 38 |
| Basti | 106 | 106 | 37 |
| Sitapur | 103 | 103 | 36 |
| Fatehpur | 101 | 101 | 35 |
| Jalaun | 99 | 99 | 35 |
| Gautam Buddha Nagar | 96 | 96 | 34 |
| Kheri | 94 | 94 | 33 |
| Jhansi | 92 | 92 | 32 |
| Auraiya | 91 | 91 | 32 |
| Pratapgarh | 89 | 89 | 31 |
| Mau | 87 | 87 | 30 |
| Bulandshahr | 85 | 85 | 30 |
| Mirzapur | 84 | 84 | 29 |
| Rampur | 82 | 82 | 29 |
| Ghazipur | 81 | 81 | 28 |
| Banda | 79 | 79 | 28 |
| Kanpur Dehat | 78 | 78 | 27 |
| Bijnor | 76 | 76 | 27 |
| Sambhal | 75 | 75 | 26 |
| Sonbhadra | 74 | 74 | 26 |
| Allahabad | 73 | 73 | 26 |
| Unnao | 72 | 72 | 25 |
| Maharajganj | 70 | 70 | 25 |
| Amroha | 69 | 69 | 24 |
| Jaunpur | 68 | 68 | 24 |
| Firozabad | 67 | 67 | 23 |
| Gonda | 66 | 66 | 23 |
| Kanpur Nagar | 65 | 65 | 23 |
| Meerut | 64 | 64 | 22 |
| Gorakhpur | 63 | 63 | 22 |
| Etawah | 62 | 62 | 22 |
| Agra | 62 | 62 | 22 |
| Mathura | 61 | 61 | 21 |
| Saharanpur | 60 | 60 | 21 |
| Kanpur | 59 | 59 | 21 |
| Lakhimpur Kheri | 58 | 58 | 20 |
| Chandauli | 58 | 58 | 20 |
| Sultanpur | 57 | 57 | 20 |
| Chitrakoot | 57 | 57 | 20 |
| All districts (79) | 21,970 | 21,970 | 7,690 |
The Convenience stores database includes 21,970+ verified Convenience 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.
Urmi (IN) bought 1 week ago · Somnath (IN) bought 2 weeks ago · Amrita (IN) bought 2 weeks ago · Dipti (IN) bought 2 weeks ago · Mohit (IN) bought 2 weeks ago
There are roughly 21,970+ Convenience 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 Convenience stores list for Uttar Pradesh, India; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Per-row columns include Convenience 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 Convenience 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 Convenience 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 Convenience 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 Convenience 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 21,970+ 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:
Jul 06, 2026 04:20 AM
Published:
May 11, 2026 02:29 AM
Rows (Regular):
9,887
Rows (Extended):
21,970
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
