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This dataset covers 8,747 verified records spread across 79+ districts in Uttar Pradesh. 8,747 records carry a verified phone number and 3,061 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Chandauli (1,766 listings), Basti (883 listings), Sultanpur (589 listings), Auraiya (442 listings), Bijnor (353 listings), Firozabad (294 listings), Rampur (252 listings), and Kanpur Dehat (221 listings).
Additional coverage spans Gorakhpur (196), Sitapur (177), Sonbhadra (161), Etah (147), Allahabad (136), Kanpur (126), Farrukhabad (118), Meerut (110), Ghazipur (104), Etawah (98), Kheri (93), Amroha (88) , plus 59 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Chandauli | 1,766 | 1,766 | 618 |
| Basti | 883 | 883 | 309 |
| Sultanpur | 589 | 589 | 206 |
| Auraiya | 442 | 442 | 155 |
| Bijnor | 353 | 353 | 124 |
| Firozabad | 294 | 294 | 103 |
| Rampur | 252 | 252 | 88 |
| Kanpur Dehat | 221 | 221 | 77 |
| Gorakhpur | 196 | 196 | 69 |
| Sitapur | 177 | 177 | 62 |
| All districts (79) | 8,747 | 8,747 | 3,061 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Chandauli | 1,766 | 1,766 | 618 |
| Basti | 883 | 883 | 309 |
| Sultanpur | 589 | 589 | 206 |
| Auraiya | 442 | 442 | 155 |
| Bijnor | 353 | 353 | 124 |
| Firozabad | 294 | 294 | 103 |
| Rampur | 252 | 252 | 88 |
| Kanpur Dehat | 221 | 221 | 77 |
| Gorakhpur | 196 | 196 | 69 |
| Sitapur | 177 | 177 | 62 |
| Sonbhadra | 161 | 161 | 56 |
| Etah | 147 | 147 | 51 |
| Allahabad | 136 | 136 | 48 |
| Kanpur | 126 | 126 | 44 |
| Farrukhabad | 118 | 118 | 41 |
| Meerut | 110 | 110 | 39 |
| Ghazipur | 104 | 104 | 36 |
| Etawah | 98 | 98 | 34 |
| Kheri | 93 | 93 | 33 |
| Amroha | 88 | 88 | 31 |
| Kanpur Nagar | 84 | 84 | 29 |
| Mirzapur | 80 | 80 | 28 |
| Jalaun | 77 | 77 | 27 |
| Unnao | 74 | 74 | 26 |
| Mahoba | 71 | 71 | 25 |
| Mathura | 68 | 68 | 24 |
| Gautam Buddha Nagar | 65 | 65 | 23 |
| Banda | 63 | 63 | 22 |
| Jaunpur | 61 | 61 | 21 |
| Fatehpur | 59 | 59 | 21 |
| Kushinagar | 57 | 57 | 20 |
| Gonda | 55 | 55 | 19 |
| Sambhal | 54 | 54 | 19 |
| Jhansi | 52 | 52 | 18 |
| Barabanki | 50 | 50 | 18 |
| Ambedkar Nagar | 49 | 49 | 17 |
| Lakhimpur Kheri | 48 | 48 | 17 |
| Balrampur | 46 | 46 | 16 |
| Hathras | 45 | 45 | 16 |
| Baghpat | 44 | 44 | 15 |
| Shamli | 43 | 43 | 15 |
| Aligarh | 42 | 42 | 15 |
| Hardoi | 41 | 41 | 14 |
| Bareilly | 40 | 40 | 14 |
| Chitrakoot | 39 | 39 | 14 |
| Shravasti | 38 | 38 | 13 |
| Shahjahanpur | 38 | 38 | 13 |
| Saharanpur | 37 | 37 | 13 |
| Azamgarh | 36 | 36 | 13 |
| Maharajganj | 35 | 35 | 12 |
| Prayagraj | 35 | 35 | 12 |
| Mainpuri | 34 | 34 | 12 |
| Muzaffarnagar | 33 | 33 | 12 |
| Kasganj | 33 | 33 | 12 |
| Shrawasti | 32 | 32 | 11 |
| Hamirpur | 32 | 32 | 11 |
| Lucknow | 31 | 31 | 11 |
| Agra | 30 | 30 | 11 |
| Pilibhit | 30 | 30 | 11 |
| Raebareli | 29 | 29 | 10 |
| Moradabad | 29 | 29 | 10 |
| Mau | 28 | 28 | 10 |
| Lalitpur | 28 | 28 | 10 |
| Kaushambi | 28 | 28 | 10 |
| Pratapgarh | 27 | 27 | 9 |
| Ayodhya | 27 | 27 | 9 |
| Bahraich | 26 | 26 | 9 |
| Sant Kabir Nagar | 26 | 26 | 9 |
| Hapur | 26 | 26 | 9 |
| Ballia | 25 | 25 | 9 |
| Bhadohi | 25 | 25 | 9 |
| Varanasi | 25 | 25 | 9 |
| Siddharthnagar | 24 | 24 | 8 |
| Kannauj | 24 | 24 | 8 |
| Ghaziabad | 24 | 24 | 8 |
| Amethi | 23 | 23 | 8 |
| Deoria | 23 | 23 | 8 |
| Budaun | 23 | 23 | 8 |
| Bulandshahr | 22 | 22 | 8 |
| All districts (79) | 8,747 | 8,747 | 3,061 |
The Medical stores database includes 8,747+ verified Medical 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.
Damini (IN) bought 2 days ago · Faraz (IN) bought 4 days ago · Fardeen (IN) bought 4 days ago · Wafa (IN) bought 5 days ago · Gowri (IN) bought 5 days ago
There are roughly 8,747+ Medical 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.
The complete Medical stores database for Uttar Pradesh, India is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Medical location with address, phone, hours, website and GPS coordinates.
Every record in the Medical stores dataset includes: Medical 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.
Triple-source verification: the Medical store locator, Google Maps data and licensed B2B directories all have to agree before a record makes the CSV. Dead phones and 'permanently closed' markers prune the list every month.
Yes. The Medical 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 Medical 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 Medical stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Data2Sales AI's World Wide Data database for Uttar Pradesh, India consolidates 8,747+ verified records into a single, verified contact list. The engine crosses multiple sources — official websites, business registries, social profiles, licensed directories — and validates each record monthly, so your sales pipeline starts with accurate data instead of a spreadsheet of guesses.
Last Update:
Aug 10, 2026 05:45 AM
Published:
May 11, 2026 02:29 AM
Rows (Regular):
4,374
Rows (Extended):
8,747
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
