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This dataset covers 1,072 verified records spread across 79+ cities in Uttar Pradesh. 1,072 records carry a verified phone number and 431 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density cities are Varanasi (133 listings), Prayagraj (125 listings), Agra (121 listings), Meerut (103 listings), Allahabad (100 listings), Lucknow (91 listings), Kanpur (88 listings), and Ghaziabad (54 listings).
Additional coverage spans Pratapgarh (2), Bareilly (1), Gorakhpur (1), Etawah (1), Jaunpur (1), Farrukhabad (1), Sonbhadra (1), Deoria (1), Hapur (1), Muzaffarnagar (1), Basti (1), Kanpur Nagar (1) , plus 59 more cities.
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Varanasi | 133 | 133 | 80 |
| Prayagraj | 125 | 125 | 60 |
| Agra | 121 | 121 | 49 |
| Meerut | 103 | 103 | 45 |
| Allahabad | 100 | 100 | 48 |
| Lucknow | 91 | 91 | 57 |
| Kanpur | 88 | 88 | 42 |
| Ghaziabad | 54 | 54 | 33 |
| Pratapgarh | 2 | 2 | 0 |
| Bareilly | 1 | 1 | 0 |
| All cities (80) | 1,072 | 1,072 | 431 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Varanasi | 133 | 133 | 80 |
| Prayagraj | 125 | 125 | 60 |
| Agra | 121 | 121 | 49 |
| Meerut | 103 | 103 | 45 |
| Allahabad | 100 | 100 | 48 |
| Lucknow | 91 | 91 | 57 |
| Kanpur | 88 | 88 | 42 |
| Ghaziabad | 54 | 54 | 33 |
| Pratapgarh | 2 | 2 | 0 |
| Bareilly | 1 | 1 | 0 |
| Gorakhpur | 1 | 1 | 0 |
| Etawah | 1 | 1 | 0 |
| Jaunpur | 1 | 1 | 0 |
| Farrukhabad | 1 | 1 | 0 |
| Sonbhadra | 1 | 1 | 0 |
| Deoria | 1 | 1 | 0 |
| Hapur | 1 | 1 | 0 |
| Muzaffarnagar | 1 | 1 | 0 |
| Basti | 1 | 1 | 0 |
| Kanpur Nagar | 1 | 1 | 0 |
| Bulandshahr | 1 | 1 | 0 |
| Ambedkar Nagar | 1 | 1 | 0 |
| Azamgarh | 1 | 1 | 0 |
| Raebareli | 1 | 1 | 0 |
| Bhadohi | 1 | 1 | 0 |
| Moradabad | 1 | 1 | 0 |
| Saharanpur | 1 | 1 | 0 |
| Sant Kabir Nagar | 1 | 1 | 0 |
| Maharajganj | 1 | 1 | 0 |
| Lakhimpur Kheri | 1 | 1 | 0 |
| Chandauli | 1 | 1 | 0 |
| Bijnor | 1 | 1 | 0 |
| Kushinagar | 1 | 1 | 0 |
| Sambhal | 1 | 1 | 0 |
| Aligarh | 1 | 1 | 0 |
| Rampur | 1 | 1 | 0 |
| Unnao | 1 | 1 | 0 |
| Pilibhit | 1 | 1 | 0 |
| Bahraich | 0 | 0 | 0 |
| Shahjahanpur | 0 | 0 | 0 |
| Balrampur | 0 | 0 | 0 |
| Jhansi | 0 | 0 | 0 |
| Mau | 0 | 0 | 0 |
| Kanpur Dehat | 0 | 0 | 0 |
| Mirzapur | 0 | 0 | 0 |
| Sitapur | 0 | 0 | 0 |
| Baghpat | 0 | 0 | 0 |
| Amethi | 0 | 0 | 0 |
| Shamli | 0 | 0 | 0 |
| Banda | 0 | 0 | 0 |
| Amroha | 0 | 0 | 0 |
| Gonda | 0 | 0 | 0 |
| Siddharthnagar | 0 | 0 | 0 |
| Kasganj | 0 | 0 | 0 |
| Budaun | 0 | 0 | 0 |
| Ayodhya | 0 | 0 | 0 |
| Kannauj | 0 | 0 | 0 |
| Kheri | 0 | 0 | 0 |
| Sultanpur | 0 | 0 | 0 |
| Hathras | 0 | 0 | 0 |
| Auraiya | 0 | 0 | 0 |
| Mathura | 0 | 0 | 0 |
| Ghazipur | 0 | 0 | 0 |
| Barabanki | 0 | 0 | 0 |
| Gautam Buddha Nagar | 0 | 0 | 0 |
| Lalitpur | 0 | 0 | 0 |
| Mainpuri | 0 | 0 | 0 |
| Etah | 0 | 0 | 0 |
| Firozabad | 0 | 0 | 0 |
| Fatehpur | 0 | 0 | 0 |
| Chitrakoot | 0 | 0 | 0 |
| Mahoba | 0 | 0 | 0 |
| Kaushambi | 0 | 0 | 0 |
| Hardoi | 0 | 0 | 0 |
| Ballia | 0 | 0 | 0 |
| Shrawasti | 0 | 0 | 0 |
| Jalaun | 0 | 0 | 0 |
| Hamirpur | 0 | 0 | 0 |
| Shravasti | 0 | 0 | 0 |
| Smaller regions (combined) | 186 | 186 | 0 |
| All cities (80) | 1,072 | 1,072 | 431 |
The Maternity Hospitals database for Uttar Pradesh, India includes 201+ 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.
Abhinav (IN) bought 3 days ago · Mukul (IN) bought 5 days ago · Navami (IN) bought 1 week ago · Ritika (IN) bought 1 week ago · Hema (IN) bought 1 week ago
The Maternity Hospitals database for Uttar Pradesh, India contains 201+ 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 Maternity 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 maternity hospitals footprint in Uttar Pradesh, India.
Yes. The Maternity 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.
Looking to connect with Maternity Hospitals across Uttar Pradesh, India? This dataset provides a focused list of 201 facilities, ideal for understanding local market penetration and identifying independent clinics requiring specialized medical equipment and services.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Jul 17, 2026 02:32 AM
Published:
May 11, 2026 01:11 AM
Rows (Extended):
201
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
