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This dataset covers 12,105 verified records spread across 199+ states in India. 12,105 records carry a verified phone number and 540 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density states are Howrah (262 listings), Mumbai (188 listings), Kota (100 listings), Dehradun (87 listings), Kolkata (78 listings), Nagpur (67 listings), Chhatrapati Sambhajinagar (65 listings), and Agra (64 listings).
Additional coverage spans Vadodara (51), Gwalior (50), Jaipur (48), Ludhiana (44), Meerut (44), Mysuru (37), Patna (37), Vijayawada (37), Ranchi (35), Bhubaneswar (35), Prayagraj (34), Ernakulam (34) , plus 179 more states.
| States | Total | With mobile | With website |
|---|---|---|---|
| Other (unspecified) | 9,781 | 9,781 | 51 |
| Howrah | 262 | 262 | 32 |
| Mumbai | 188 | 188 | 49 |
| Kota | 100 | 100 | 0 |
| Dehradun | 87 | 87 | 16 |
| Kolkata | 78 | 78 | 40 |
| Nagpur | 67 | 67 | 16 |
| Chhatrapati Sambhajinagar | 65 | 65 | 3 |
| Agra | 64 | 64 | 6 |
| Vadodara | 51 | 51 | 6 |
| Gwalior | 50 | 50 | 9 |
| Jaipur | 48 | 48 | 3 |
| Ludhiana | 44 | 44 | 7 |
| Meerut | 44 | 44 | 1 |
| Mysuru | 37 | 37 | 3 |
| Patna | 37 | 37 | 15 |
| Vijayawada | 37 | 37 | 3 |
| Ranchi | 35 | 35 | 8 |
| Bhubaneswar | 35 | 35 | 9 |
| Prayagraj | 34 | 34 | 5 |
| Ernakulam | 34 | 34 | 22 |
| Ahmedabad | 31 | 31 | 4 |
| Lucknow | 28 | 28 | 6 |
| Chennai | 26 | 26 | 5 |
| Gurugram | 26 | 26 | 12 |
| Ghaziabad | 23 | 23 | 5 |
| Chandigarh | 23 | 23 | 4 |
| Kanpur | 19 | 19 | 7 |
| Gobindpur, Kumardi | 19 | 19 | 19 |
| Delhi | 18 | 18 | 5 |
| Nashik | 18 | 18 | 4 |
| Faridabad | 18 | 18 | 0 |
| Thiruvananthapuram | 17 | 17 | 11 |
| Jodhpur | 17 | 17 | 5 |
| New Delhi, Delhi | 17 | 17 | 2 |
| Hyderabad | 15 | 15 | 1 |
| Coimbatore | 15 | 15 | 3 |
| Varanasi | 15 | 15 | 8 |
| Indore | 14 | 14 | 3 |
| Amritsar | 13 | 13 | 0 |
| Raipur | 13 | 13 | 0 |
| Pune | 13 | 13 | 2 |
| Dhanbad | 13 | 13 | 13 |
| Panvel | 13 | 13 | 0 |
| Bengaluru | 10 | 10 | 3 |
| New Delhi | 10 | 10 | 1 |
| Jabalpur | 10 | 10 | 0 |
| Argari, Howrah | 9 | 9 | 0 |
| Madurai | 9 | 9 | 0 |
| Visakhapatnam | 9 | 9 | 0 |
| Tempo, Indore | 9 | 9 | 0 |
| Thane | 9 | 9 | 1 |
| Gandhipuram, Coimbatore | 8 | 8 | 0 |
| Agartala | 7 | 7 | 4 |
| Beniganj, Prayagraj | 6 | 6 | 0 |
| Guwahati | 6 | 6 | 2 |
| Amta | 6 | 6 | 0 |
| Bhopal | 5 | 5 | 3 |
| Dhanbad, Maithon | 5 | 5 | 0 |
| Ulhasnagar | 5 | 5 | 0 |
| Raipur, Tikrapara | 5 | 5 | 0 |
| Chirkunda | 4 | 4 | 0 |
| Nandyala | 4 | 4 | 0 |
| Nasik, Nashik | 4 | 4 | 0 |
| Amritsar Cantt. | 4 | 4 | 0 |
| Diamond Harbour | 4 | 4 | 1 |
| Dhenkanal | 4 | 4 | 0 |
| Malda | 4 | 4 | 2 |
| Bhubaneswar, Ebaranga | 4 | 4 | 0 |
| Dewas | 4 | 4 | 0 |
| Coimbatore, Kovaipudur | 4 | 4 | 0 |
| Navi Mumbai | 4 | 4 | 0 |
| Dhanbad, Pochari | 3 | 3 | 0 |
| Bankura | 3 | 3 | 0 |
| Mandya | 3 | 3 | 0 |
| Kanuru | 3 | 3 | 0 |
| Howrah, Argari | 3 | 3 | 3 |
| Danapur, Patna | 3 | 3 | 0 |
| Madurai, Meenakshi Nagar | 3 | 3 | 0 |
| Hutagalli | 2 | 2 | 0 |
| Surat | 2 | 2 | 0 |
| Dehradun, Sinaula | 2 | 2 | 2 |
| Koraon | 2 | 2 | 2 |
| Bhogadi | 2 | 2 | 2 |
| Alipurduar | 2 | 2 | 1 |
| Midnapore | 2 | 2 | 0 |
| Moradabad | 2 | 2 | 0 |
| Uttarpara, Howrah | 2 | 2 | 0 |
| Maheshtala | 2 | 2 | 0 |
| Vikasnagar | 2 | 2 | 0 |
| Pullambotlapalem | 2 | 2 | 0 |
| Solan | 1 | 1 | 0 |
| Lohardaga | 1 | 1 | 0 |
| Siliguri | 1 | 1 | 1 |
| Nizamabad | 1 | 1 | 0 |
| Hanamkonda | 1 | 1 | 0 |
| Bhagalpur | 1 | 1 | 0 |
| Gauhania, Mauharia | 1 | 1 | 0 |
| Udaynarayanpur | 1 | 1 | 0 |
| Bijnor | 1 | 1 | 0 |
| Goalpara | 1 | 1 | 0 |
| Chhindwara | 1 | 1 | 0 |
| Raebareli | 1 | 1 | 0 |
| Lakhimpur | 1 | 1 | 0 |
| Hardoi | 1 | 1 | 0 |
| Singanallur | 1 | 1 | 1 |
| South Dumdum | 1 | 1 | 0 |
| Anbu Nagar | 1 | 1 | 0 |
| Chinsurah | 1 | 1 | 0 |
| Bishnupur | 1 | 1 | 0 |
| Godda | 1 | 1 | 0 |
| Jamshedpur | 1 | 1 | 0 |
| Deoghar | 1 | 1 | 0 |
| Shahjahanpur | 1 | 1 | 0 |
| Garhwa | 1 | 1 | 0 |
| Pimpri-Chinchwad | 1 | 1 | 0 |
| Hisar | 1 | 1 | 0 |
| Puducherry | 1 | 1 | 0 |
| Thane, Loyabad | 1 | 1 | 0 |
| Neyyattinkara | 1 | 1 | 1 |
| Warangal | 1 | 1 | 0 |
| Hathras | 1 | 1 | 0 |
| Satara | 1 | 1 | 0 |
| Rajkot | 1 | 1 | 0 |
| Kishanganj | 1 | 1 | 0 |
| Jamnagar | 1 | 1 | 0 |
| Saharanpur | 1 | 1 | 0 |
| Tamluk | 1 | 1 | 0 |
| Nawada | 1 | 1 | 0 |
| Shivamogga | 1 | 1 | 0 |
| Bela Pratapgarh | 1 | 1 | 0 |
| Perambalur | 1 | 1 | 0 |
| Sreenagar | 1 | 1 | 0 |
| Jagatsinghpur | 1 | 1 | 0 |
| Samastipur | 1 | 1 | 0 |
| Bhuvanagiri | 1 | 1 | 0 |
| Arrah | 1 | 1 | 1 |
| Adilabad | 1 | 1 | 0 |
| Gangarampur | 1 | 1 | 0 |
| Mandsaur | 1 | 1 | 0 |
| Chitradurga | 0 | 0 | 0 |
| Mulanthuruthy | 0 | 0 | 0 |
| Pirda, Tum Gaon | 0 | 0 | 0 |
| Mangalagiri | 0 | 0 | 0 |
| Thoothukudi | 0 | 0 | 0 |
| Chikkamagaluru | 0 | 0 | 0 |
| Charkhi Dadri | 0 | 0 | 0 |
| Yamuna Nagar | 0 | 0 | 0 |
| Sajjapuram | 0 | 0 | 0 |
| Malerkotla | 0 | 0 | 0 |
| Sukhanjan | 0 | 0 | 0 |
| Patna, Danapur | 0 | 0 | 0 |
| Bulandshahr | 0 | 0 | 0 |
| Panchkula | 0 | 0 | 0 |
| Muzaffarnagar | 0 | 0 | 0 |
| Churachandpur | 0 | 0 | 0 |
| Karimnagar | 0 | 0 | 0 |
| Srirampur | 0 | 0 | 0 |
| Muram Kalan, Ramgarh Cantonment | 0 | 0 | 0 |
| Anantapur | 0 | 0 | 0 |
| Gocharan, Jaynagar Mazilpur | 0 | 0 | 0 |
| Mahendergarh, Mahendragarh | 0 | 0 | 0 |
| Sahibzada Ajit Singh Nagar | 0 | 0 | 0 |
| Alipurduar, Birpara Tea Garden | 0 | 0 | 0 |
| Nellimarla, Solipisomarajupeta | 0 | 0 | 0 |
| Sona, Mahmoodpur Tiwayee Must. | 0 | 0 | 0 |
| Varthur, Naganayakanakote | 0 | 0 | 0 |
| Ramachandrapuram, Hyderabad | 0 | 0 | 0 |
| Dehradun, Shahpur Santore | 0 | 0 | 0 |
| Kanniyakumari, Perumalpuram | 0 | 0 | 0 |
| Raipur, Ahmedabad | 0 | 0 | 0 |
| Bengaluru, Domsandra | 0 | 0 | 0 |
| Gurugram, Sarhol | 0 | 0 | 0 |
| Mohanpura, Jaipur | 0 | 0 | 0 |
| Golaghat, Kachugaon | 0 | 0 | 0 |
| Gauhania, Panwari | 0 | 0 | 0 |
| Sultanpur, Basantapur | 0 | 0 | 0 |
| Bhadohi Nagar Palika | 0 | 0 | 0 |
| Thana, Bihar Sharif | 0 | 0 | 0 |
| Faridkot, Kot Kapura | 0 | 0 | 0 |
| Singur, Balarambati | 0 | 0 | 0 |
| Kovaipudur, Coimbatore | 0 | 0 | 0 |
| Uttar Jhapardaha, Howrah | 0 | 0 | 0 |
| Vellalore, Coimbatore | 0 | 0 | 0 |
| Jandiala Guru, Jandiala | 0 | 0 | 0 |
| Paharpur, Jalpaiguri | 0 | 0 | 0 |
| Hyderabad, Secunderabad | 0 | 0 | 0 |
| Rahchulia, Shahjahanpur | 0 | 0 | 0 |
| Jalandhar | 0 | 0 | 0 |
| Jalpaiguri | 0 | 0 | 0 |
| Rampurhat | 0 | 0 | 0 |
| Davangere | 0 | 0 | 0 |
| Sawai Madhopur | 0 | 0 | 0 |
| Modinagar | 0 | 0 | 0 |
| Vizianagaram | 0 | 0 | 0 |
| Krishnanagar | 0 | 0 | 0 |
| Robertsganj | 0 | 0 | 0 |
| Berhampore | 0 | 0 | 0 |
| Pudukkottai | 0 | 0 | 0 |
| Ernakulam, Kochi | 0 | 0 | 0 |
| Smaller regions (combined) | 111 | 111 | 26 |
| All states (201) | 12,105 | 12,105 | 540 |
Buy a multi-state zone in one file — cheaper than the country pack, wider than any single state.
The Nursing Homes database for India includes 11,875+ 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.
Sushmita (IN) bought 1 week ago · Hina (IN) bought 1 week ago · Jagdish (IN) bought 2 weeks ago · Amir (IN) bought 2 weeks ago · Sona (IN) bought 3 weeks ago
The Nursing Homes database for India contains 11,875+ 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 Nursing Homes database for 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 nursing homes footprint in India.
Yes. The Nursing Homes 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.
Seeking to connect with key decision-makers in India's nursing home sector? This comprehensive contact list provides direct access to 56,488 nursing homes across India, ideal for suppliers focused on bulk procurement needs for specialized medical equipment.
Last Update:
Jul 15, 2026 03:16 AM
Published:
Apr 26, 2026 20:57 PM
Rows (Regular):
5,344
Rows (Extended):
11,875
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