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This dataset covers 16,596 records spread across 199 states in India, ready for outreach, segmentation and CRM import.
The largest states by record count are Mumbai (351), Kolkata (210), Rajkot (198), Prayagraj (196), Vadodara (193), Surat (181), Jaipur (177), and Ahmedabad (170).
Additional coverage spans Indore (164), Chhatrapati Sambhajinagar (158), Vijayawada (157), Nagpur (153), Gurugram (150), Ludhiana (149), Gwalior (147), Meerut (146), Bhubaneswar (144), Amritsar (141), Pune (134), Nashik (130) , plus 179 more states.
| States | Total | With mobile | With website |
|---|---|---|---|
| Other (unspecified) | 8,467 | 8,467 | 16 |
| Mumbai | 351 | 351 | 108 |
| Kolkata | 210 | 210 | 55 |
| Rajkot | 198 | 198 | 31 |
| Prayagraj | 196 | 196 | 46 |
| Vadodara | 193 | 193 | 47 |
| Surat | 181 | 181 | 31 |
| Jaipur | 177 | 177 | 42 |
| Ahmedabad | 170 | 170 | 52 |
| Indore | 164 | 164 | 35 |
| Chhatrapati Sambhajinagar | 158 | 158 | 31 |
| Vijayawada | 157 | 157 | 8 |
| Nagpur | 153 | 153 | 23 |
| Gurugram | 150 | 150 | 72 |
| Ludhiana | 149 | 149 | 26 |
| Gwalior | 147 | 147 | 39 |
| Meerut | 146 | 146 | 13 |
| Bhubaneswar | 144 | 144 | 43 |
| Amritsar | 141 | 141 | 33 |
| Pune | 134 | 134 | 42 |
| Nashik | 130 | 130 | 21 |
| Ghaziabad | 128 | 128 | 36 |
| Patna | 123 | 123 | 50 |
| Bhopal | 123 | 123 | 35 |
| Lucknow | 122 | 122 | 40 |
| Agra | 120 | 120 | 25 |
| Kanpur | 116 | 116 | 35 |
| Kota | 111 | 111 | 19 |
| New Delhi | 110 | 110 | 46 |
| Bengaluru | 109 | 109 | 56 |
| Jodhpur | 107 | 107 | 23 |
| Jabalpur | 107 | 107 | 35 |
| Thane | 102 | 102 | 42 |
| Mysuru | 101 | 101 | 31 |
| Varanasi | 97 | 97 | 41 |
| Ranchi | 93 | 93 | 32 |
| Faridabad | 92 | 92 | 22 |
| Guwahati | 89 | 89 | 42 |
| Howrah | 89 | 89 | 24 |
| Chennai | 88 | 88 | 30 |
| Navi Mumbai | 88 | 88 | 39 |
| Hyderabad | 88 | 88 | 35 |
| Visakhapatnam | 86 | 86 | 26 |
| Dehradun | 84 | 84 | 23 |
| Thiruvananthapuram | 71 | 71 | 30 |
| New Delhi, Delhi | 70 | 70 | 24 |
| Chandigarh | 66 | 66 | 19 |
| Raipur | 66 | 66 | 18 |
| Delhi | 62 | 62 | 20 |
| Dhanbad | 60 | 60 | 15 |
| Kochi, Ernakulam | 53 | 53 | 24 |
| Srinagar | 53 | 53 | 21 |
| Ernakulam | 49 | 49 | 5 |
| Panvel | 41 | 41 | 20 |
| Madurai | 39 | 39 | 12 |
| Coimbatore | 39 | 39 | 17 |
| Kochi | 36 | 36 | 10 |
| Nasik, Nashik | 33 | 33 | 2 |
| Amritsar, Amritsar Cantt. | 32 | 32 | 1 |
| Pune, Pimpri-Chinchwad | 25 | 25 | 6 |
| Kalyan | 20 | 20 | 6 |
| Pimpri-Chinchwad | 16 | 16 | 5 |
| Mumbai, Navi Mumbai | 13 | 13 | 12 |
| Raipur, Gudhiyari | 10 | 10 | 0 |
| Secunderabad | 10 | 10 | 2 |
| Raipur, Tikrapara | 9 | 9 | 5 |
| Doddaballapura | 8 | 8 | 0 |
| Ambernath | 8 | 8 | 2 |
| Gajuwaka | 7 | 7 | 1 |
| Sahibzada Ajit Singh Nagar | 6 | 6 | 2 |
| Hyderabad, Secunderabad | 6 | 6 | 2 |
| Bhiwandi | 6 | 6 | 0 |
| Ernakulam, Kochi | 5 | 5 | 2 |
| Suryaraopeth, Vijayawada | 5 | 5 | 0 |
| Jharia | 5 | 5 | 0 |
| Sathamangalam, Madurai | 5 | 5 | 4 |
| Mira Bhayandar | 4 | 4 | 0 |
| Hoskote | 4 | 4 | 3 |
| Kharghar, Panvel | 4 | 4 | 4 |
| Lucknow, Muzaffar Nagar Ghusval | 4 | 4 | 4 |
| Agartala | 4 | 4 | 1 |
| Badlapur | 4 | 4 | 0 |
| Kanuru | 4 | 4 | 1 |
| Wahal | 4 | 4 | 0 |
| Noida | 4 | 4 | 2 |
| Selakui, Dehradun | 4 | 4 | 0 |
| Navi Mumbai, Panvel | 3 | 3 | 2 |
| Greater Noida, Ghaziabad | 3 | 3 | 3 |
| Maheshtala | 3 | 3 | 0 |
| Payikapuram | 3 | 3 | 0 |
| Delhi, New Delhi | 3 | 3 | 2 |
| Jabalpur, Raksha | 3 | 3 | 1 |
| Kolkata, Howrah | 3 | 3 | 2 |
| Pimpri-Chinchwad, Pune | 3 | 3 | 1 |
| Kochi, Kakkanad | 3 | 3 | 0 |
| Kakkanad, Kochi | 3 | 3 | 1 |
| Besa Pipla | 3 | 3 | 0 |
| Gondal | 3 | 3 | 0 |
| Katras | 3 | 3 | 0 |
| Jabalpur, New Adaresh Colony | 3 | 3 | 2 |
| Rajpur Sonarpur | 3 | 3 | 0 |
| Jalaun | 3 | 3 | 0 |
| Gurugram, Sarhol | 3 | 3 | 1 |
| Mumbai, Thane | 3 | 3 | 0 |
| Gurugram, Pawala Khasrupur | 3 | 3 | 0 |
| Danapur, Patna | 2 | 2 | 1 |
| Prayagraj, Daiwghat | 2 | 2 | 0 |
| Gurugram, Ghata | 2 | 2 | 1 |
| Drugjan, Jammu | 2 | 2 | 0 |
| Gangtok | 2 | 2 | 0 |
| Agra, Albatia | 2 | 2 | 0 |
| Phaphamau | 2 | 2 | 0 |
| Vijaynagar, Indore | 2 | 2 | 0 |
| Mumbai, Kalyan | 2 | 2 | 0 |
| Bela Pratapgarh | 2 | 2 | 0 |
| Baruipur | 2 | 2 | 0 |
| Godhra | 2 | 2 | 0 |
| Gaya | 2 | 2 | 0 |
| Jammu | 2 | 2 | 0 |
| Bikaner | 2 | 2 | 0 |
| Hanamkonda | 2 | 2 | 0 |
| Ajmer | 2 | 2 | 0 |
| Muradnagar | 2 | 2 | 0 |
| Rajkot, Kotharia | 2 | 2 | 0 |
| Baranagar | 2 | 2 | 0 |
| Udaipur | 2 | 2 | 0 |
| Panchkula | 2 | 2 | 1 |
| Gorakhpur | 2 | 2 | 1 |
| Madgaon | 2 | 2 | 0 |
| Prayagraj, Naini Taluka Naini Dadari | 2 | 2 | 0 |
| Saraidhella, Dhanbad | 2 | 2 | 0 |
| Jalandhar | 2 | 2 | 0 |
| Tarn Taran Sahib | 2 | 2 | 0 |
| Dehradun, Danda Dhoran | 2 | 2 | 0 |
| Ujjain | 2 | 2 | 0 |
| Satara | 2 | 2 | 0 |
| Jamnagar | 2 | 2 | 0 |
| Kakkanad | 2 | 2 | 0 |
| Darbhanga | 2 | 2 | 0 |
| Wadgaon Kolhati | 2 | 2 | 0 |
| Sahajpur, Vijayawada | 2 | 2 | 0 |
| Junagadh | 2 | 2 | 0 |
| North Paravur | 2 | 2 | 1 |
| Kalher | 2 | 2 | 0 |
| Ludhiana, Amarpura | 2 | 2 | 0 |
| Kuniyamuthur | 2 | 2 | 0 |
| Gandhinagar | 2 | 2 | 0 |
| Malegaon | 2 | 2 | 0 |
| Vasai-Virar | 2 | 2 | 0 |
| Saharanpur | 2 | 2 | 0 |
| Kotharia | 2 | 2 | 0 |
| Jamshedpur | 1 | 1 | 0 |
| Bharatpur | 1 | 1 | 0 |
| Jharia, Dhanbad | 1 | 1 | 0 |
| Narmadapuram | 1 | 1 | 0 |
| South Dumdum | 1 | 1 | 0 |
| Kanchipuram | 1 | 1 | 0 |
| Mathura | 1 | 1 | 0 |
| Lakhimpur | 1 | 1 | 0 |
| Thane, Kalyan | 1 | 1 | 0 |
| Muvattupuzha | 1 | 1 | 0 |
| Secunderabad, Hyderabad | 1 | 1 | 0 |
| Ulhasnagar | 1 | 1 | 0 |
| Aluva | 1 | 1 | 0 |
| Mapusa | 1 | 1 | 0 |
| Kolkata, Rajpur Sonarpur | 1 | 1 | 1 |
| Kasganj | 1 | 1 | 0 |
| Kolkata, New Town | 1 | 1 | 1 |
| Ponda | 1 | 1 | 0 |
| Asansol | 1 | 1 | 0 |
| Basti | 1 | 1 | 0 |
| Kadapa | 1 | 1 | 0 |
| Ramanathapuram, Coimbatore | 1 | 1 | 0 |
| Kota, Manpura | 1 | 1 | 0 |
| Manikonda, Hyderabad | 1 | 1 | 0 |
| Bathinda | 1 | 1 | 0 |
| Mandsaur | 1 | 1 | 0 |
| Shamsabad, Agra | 1 | 1 | 1 |
| Bongaigaon | 1 | 1 | 0 |
| Sinnar | 1 | 1 | 0 |
| Ambala | 1 | 1 | 0 |
| Raipur, Mathpurena | 1 | 1 | 0 |
| Pullambotlapalem | 1 | 1 | 0 |
| Akola | 1 | 1 | 0 |
| Mundian Khurd, Ludhiana | 1 | 1 | 1 |
| Cuttack | 1 | 1 | 0 |
| Hingoli | 1 | 1 | 0 |
| Mussoorie, Dehradun | 1 | 1 | 1 |
| Mangaluru | 1 | 1 | 0 |
| Wadi | 1 | 1 | 0 |
| Sircilla | 1 | 1 | 0 |
| Kolkata, South Dumdum | 1 | 1 | 1 |
| Palakkad | 1 | 1 | 0 |
| Washim | 1 | 1 | 0 |
| Malda | 1 | 1 | 0 |
| Endada | 1 | 1 | 1 |
| Muzaffarnagar | 1 | 1 | 0 |
| Kochi, Aluva | 1 | 1 | 0 |
| Kolhapur | 1 | 1 | 0 |
| Varapuzha | 1 | 1 | 0 |
| Smaller regions (combined) | 1,034 | 1,034 | 181 |
| All states (201) | 16,596 | 16,596 | 2,195 |
The General Physician Doctor Database for India includes 15,087+ 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.
The General Physician Doctor Database for India contains 15,087+ 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 General Physician Doctor 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 general physician doctor database footprint in India.
Yes. The General Physician Doctor Database 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 General Physician Doctor Database list covers 15,087+ verified records operating in 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.
آخر تحديث:
أكتوبر 05, 2026 05:17 ص
تم النشر:
أكتوبر 05, 2026 05:17 ص
الصفوف (عادية):
7,544
الصفوف (موسعة):
15,087
البلد:
India
الفئة:
العلامات
مجموعات البيانات المجمعة — تغطية أوسع بمستوى أعلى مميزة أدناه.