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This dataset covers 9,585 verified records spread across 79+ cities in Uttar Pradesh. 9,585 records carry a verified phone number and 3,875 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density cities are Varanasi (1,190 listings), Prayagraj (1,117 listings), Agra (1,104 listings), Meerut (915 listings), Allahabad (899 listings), Lucknow (828 listings), Kanpur (798 listings), and Ghaziabad (482 listings).
Additional coverage spans Pratapgarh (22), Bareilly (16), Gorakhpur (15), Etawah (14), Sonbhadra (13), Jaunpur (13), Farrukhabad (13), Bulandshahr (12), Muzaffarnagar (12), Hapur (12), Basti (12), Deoria (12) , plus 59 more cities.
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Varanasi | 1,190 | 1,190 | 714 |
| Prayagraj | 1,117 | 1,117 | 533 |
| Agra | 1,104 | 1,104 | 460 |
| Meerut | 915 | 915 | 406 |
| Allahabad | 899 | 899 | 434 |
| Lucknow | 828 | 828 | 508 |
| Kanpur | 798 | 798 | 390 |
| Ghaziabad | 482 | 482 | 297 |
| Pratapgarh | 22 | 22 | 3 |
| Bareilly | 16 | 16 | 8 |
| All cities (80) | 9,585 | 9,585 | 3,875 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Varanasi | 1,190 | 1,190 | 714 |
| Prayagraj | 1,117 | 1,117 | 533 |
| Agra | 1,104 | 1,104 | 460 |
| Meerut | 915 | 915 | 406 |
| Allahabad | 899 | 899 | 434 |
| Lucknow | 828 | 828 | 508 |
| Kanpur | 798 | 798 | 390 |
| Ghaziabad | 482 | 482 | 297 |
| Pratapgarh | 22 | 22 | 3 |
| Bareilly | 16 | 16 | 8 |
| Gorakhpur | 15 | 15 | 7 |
| Etawah | 14 | 14 | 2 |
| Sonbhadra | 13 | 13 | 3 |
| Jaunpur | 13 | 13 | 1 |
| Farrukhabad | 13 | 13 | 1 |
| Bulandshahr | 12 | 12 | 4 |
| Muzaffarnagar | 12 | 12 | 2 |
| Hapur | 12 | 12 | 2 |
| Basti | 12 | 12 | 3 |
| Deoria | 12 | 12 | 2 |
| Kanpur Nagar | 12 | 12 | 2 |
| Ambedkar Nagar | 11 | 11 | 1 |
| Azamgarh | 11 | 11 | 2 |
| Raebareli | 11 | 11 | 2 |
| Moradabad | 11 | 11 | 2 |
| Bhadohi | 11 | 11 | 2 |
| Maharajganj | 10 | 10 | 1 |
| Chandauli | 10 | 10 | 2 |
| Lakhimpur Kheri | 10 | 10 | 1 |
| Saharanpur | 10 | 10 | 3 |
| Sant Kabir Nagar | 10 | 10 | 1 |
| Kushinagar | 9 | 9 | 1 |
| Unnao | 9 | 9 | 2 |
| Sambhal | 9 | 9 | 0 |
| Bijnor | 9 | 9 | 0 |
| Pilibhit | 8 | 8 | 0 |
| Aligarh | 8 | 8 | 3 |
| Rampur | 8 | 8 | 0 |
| Bahraich | 8 | 8 | 1 |
| Mau | 8 | 8 | 2 |
| Shahjahanpur | 8 | 8 | 1 |
| Kanpur Dehat | 8 | 8 | 2 |
| Balrampur | 8 | 8 | 0 |
| Jhansi | 8 | 8 | 1 |
| Baghpat | 7 | 7 | 1 |
| Sitapur | 7 | 7 | 1 |
| Amethi | 7 | 7 | 0 |
| Gonda | 7 | 7 | 2 |
| Mirzapur | 7 | 7 | 2 |
| Sultanpur | 7 | 7 | 2 |
| Siddharthnagar | 7 | 7 | 0 |
| Banda | 7 | 7 | 0 |
| Ayodhya | 7 | 7 | 4 |
| Shamli | 7 | 7 | 1 |
| Kasganj | 7 | 7 | 0 |
| Amroha | 7 | 7 | 2 |
| Budaun | 6 | 6 | 1 |
| Kheri | 6 | 6 | 1 |
| Kannauj | 6 | 6 | 0 |
| Hathras | 6 | 6 | 1 |
| Gautam Buddha Nagar | 6 | 6 | 4 |
| Auraiya | 5 | 5 | 1 |
| Ghazipur | 5 | 5 | 0 |
| Mathura | 5 | 5 | 1 |
| Firozabad | 5 | 5 | 0 |
| Barabanki | 5 | 5 | 0 |
| Etah | 4 | 4 | 0 |
| Chitrakoot | 4 | 4 | 0 |
| Lalitpur | 4 | 4 | 0 |
| Mainpuri | 4 | 4 | 0 |
| Fatehpur | 4 | 4 | 0 |
| Mahoba | 4 | 4 | 0 |
| Kaushambi | 3 | 3 | 1 |
| Hardoi | 3 | 3 | 0 |
| Ballia | 2 | 2 | 0 |
| Shrawasti | 2 | 2 | 0 |
| Jalaun | 1 | 1 | 0 |
| Hamirpur | 1 | 1 | 0 |
| Shravasti | 0 | 0 | 0 |
| Smaller regions (combined) | 1,644 | 1,644 | 0 |
| All cities (80) | 9,585 | 9,585 | 3,875 |
The Hospitals database for Uttar Pradesh, India includes 22,001+ 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.
Amir (IN) bought 11 hours ago · Juhi (IN) bought 4 weeks ago · Narayan (IN) bought 1 month ago · Yamini (IN) bought 1 month ago · Kusum (IN) bought 1 month ago
The Hospitals database for Uttar Pradesh, India contains 22,001+ 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 Hospitals 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 hospitals footprint in Uttar Pradesh, India.
Yes. The Hospitals 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.
This World Wide Data list covers 22,001+ 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.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Aug 02, 2026 03:00 AM
Published:
May 11, 2026 02:28 AM
Rows (Regular):
9,900
Rows (Extended):
22,001
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
