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This dataset covers 15,319 verified records spread across 79+ districts in Uttar Pradesh. 15,319 records carry a verified phone number and 5,362 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Allahabad (3,093 listings), Sonbhadra (1,546 listings), Hardoi (1,031 listings), Shamli (773 listings), Hapur (619 listings), Kannauj (515 listings), Ghazipur (442 listings), and Kushinagar (387 listings).
Additional coverage spans Sultanpur (344), Farrukhabad (309), Bhadohi (281), Chandauli (258), Ayodhya (238), Gorakhpur (221), Firozabad (206), Etah (193), Ballia (182), Fatehpur (172), Kanpur Nagar (163), Barabanki (155) , plus 59 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Allahabad | 3,093 | 3,093 | 1,083 |
| Sonbhadra | 1,546 | 1,546 | 541 |
| Hardoi | 1,031 | 1,031 | 361 |
| Shamli | 773 | 773 | 271 |
| Hapur | 619 | 619 | 217 |
| Kannauj | 515 | 515 | 180 |
| Ghazipur | 442 | 442 | 155 |
| Kushinagar | 387 | 387 | 135 |
| Sultanpur | 344 | 344 | 120 |
| Farrukhabad | 309 | 309 | 108 |
| All districts (79) | 15,319 | 15,319 | 5,362 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Allahabad | 3,093 | 3,093 | 1,083 |
| Sonbhadra | 1,546 | 1,546 | 541 |
| Hardoi | 1,031 | 1,031 | 361 |
| Shamli | 773 | 773 | 271 |
| Hapur | 619 | 619 | 217 |
| Kannauj | 515 | 515 | 180 |
| Ghazipur | 442 | 442 | 155 |
| Kushinagar | 387 | 387 | 135 |
| Sultanpur | 344 | 344 | 120 |
| Farrukhabad | 309 | 309 | 108 |
| Bhadohi | 281 | 281 | 98 |
| Chandauli | 258 | 258 | 90 |
| Ayodhya | 238 | 238 | 83 |
| Gorakhpur | 221 | 221 | 77 |
| Firozabad | 206 | 206 | 72 |
| Etah | 193 | 193 | 68 |
| Ballia | 182 | 182 | 64 |
| Fatehpur | 172 | 172 | 60 |
| Kanpur Nagar | 163 | 163 | 57 |
| Barabanki | 155 | 155 | 54 |
| Lucknow | 147 | 147 | 51 |
| Kasganj | 141 | 141 | 49 |
| Budaun | 134 | 134 | 47 |
| Baghpat | 129 | 129 | 45 |
| Mirzapur | 124 | 124 | 43 |
| Deoria | 119 | 119 | 42 |
| Kanpur Dehat | 115 | 115 | 40 |
| Aligarh | 110 | 110 | 39 |
| Amethi | 107 | 107 | 37 |
| Hathras | 103 | 103 | 36 |
| Hamirpur | 100 | 100 | 35 |
| Shrawasti | 97 | 97 | 34 |
| Rampur | 94 | 94 | 33 |
| Mainpuri | 91 | 91 | 32 |
| Sambhal | 88 | 88 | 31 |
| Prayagraj | 86 | 86 | 30 |
| Bijnor | 84 | 84 | 29 |
| Unnao | 81 | 81 | 28 |
| Maharajganj | 79 | 79 | 28 |
| Mau | 77 | 77 | 27 |
| Moradabad | 75 | 75 | 26 |
| Pilibhit | 74 | 74 | 26 |
| Raebareli | 72 | 72 | 25 |
| Banda | 70 | 70 | 25 |
| Siddharthnagar | 69 | 69 | 24 |
| Amroha | 67 | 67 | 23 |
| Balrampur | 66 | 66 | 23 |
| Jaunpur | 64 | 64 | 22 |
| Etawah | 63 | 63 | 22 |
| Meerut | 62 | 62 | 22 |
| Agra | 61 | 61 | 21 |
| Azamgarh | 59 | 59 | 21 |
| Kanpur | 58 | 58 | 20 |
| Pratapgarh | 57 | 57 | 20 |
| Gonda | 56 | 56 | 20 |
| Mathura | 55 | 55 | 19 |
| Bareilly | 54 | 54 | 19 |
| Shravasti | 53 | 53 | 19 |
| Ghaziabad | 52 | 52 | 18 |
| Gautam Buddha Nagar | 52 | 52 | 18 |
| Sant Kabir Nagar | 51 | 51 | 18 |
| Basti | 50 | 50 | 18 |
| Muzaffarnagar | 49 | 49 | 17 |
| Mahoba | 48 | 48 | 17 |
| Lakhimpur Kheri | 48 | 48 | 17 |
| Jalaun | 47 | 47 | 16 |
| Sitapur | 46 | 46 | 16 |
| Chitrakoot | 45 | 45 | 16 |
| Shahjahanpur | 45 | 45 | 16 |
| Jhansi | 44 | 44 | 15 |
| Bahraich | 44 | 44 | 15 |
| Lalitpur | 43 | 43 | 15 |
| Saharanpur | 42 | 42 | 15 |
| Auraiya | 42 | 42 | 15 |
| Kaushambi | 41 | 41 | 14 |
| Varanasi | 41 | 41 | 14 |
| Kheri | 40 | 40 | 14 |
| Bulandshahr | 40 | 40 | 14 |
| Ambedkar Nagar | 40 | 40 | 14 |
| All districts (79) | 15,319 | 15,319 | 5,362 |
The Single Brand Retail stores database includes 15,319+ verified Single Brand 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.
There are roughly 15,319+ Single Brand Retail 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 Single Brand Retail stores list for Uttar Pradesh, India; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Each Single Brand Retail record carries the full operational profile: Single Brand Retail 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.
We verify each Single Brand 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 Single Brand 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 Single Brand 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 Single Brand 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 15,319+ 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:
Aug 04, 2026 05:45 AM
Published:
May 11, 2026 02:29 AM
Rows (Regular):
7,660
Rows (Extended):
15,319
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
