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This dataset covers 20,523 verified records spread across 79+ cities in Uttar Pradesh. 20,523 records carry a verified phone number and 5,117 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density cities are Meerut (2,977 listings), Ghaziabad (2,690 listings), Agra (2,567 listings), Lucknow (2,489 listings), Prayagraj (2,361 listings), Kanpur (2,174 listings), Varanasi (2,045 listings), and Allahabad (1,804 listings).
Additional coverage spans Pratapgarh (68), Jalaun (62), Basti (43), Kasganj (38), Saharanpur (37), Gorakhpur (33), Muzaffarnagar (32), Mathura (32), Moradabad (31), Amroha (29), Bareilly (28), Ambedkar Nagar (28) , plus 59 more cities.
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Meerut | 2,977 | 2,977 | 273 |
| Ghaziabad | 2,690 | 2,690 | 807 |
| Agra | 2,567 | 2,567 | 550 |
| Lucknow | 2,489 | 2,489 | 861 |
| Prayagraj | 2,361 | 2,361 | 545 |
| Kanpur | 2,174 | 2,174 | 655 |
| Varanasi | 2,045 | 2,045 | 817 |
| Allahabad | 1,804 | 1,804 | 408 |
| Pratapgarh | 68 | 68 | 4 |
| Jalaun | 62 | 62 | 0 |
| All cities (79) | 20,523 | 20,523 | 5,117 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Meerut | 2,977 | 2,977 | 273 |
| Ghaziabad | 2,690 | 2,690 | 807 |
| Agra | 2,567 | 2,567 | 550 |
| Lucknow | 2,489 | 2,489 | 861 |
| Prayagraj | 2,361 | 2,361 | 545 |
| Kanpur | 2,174 | 2,174 | 655 |
| Varanasi | 2,045 | 2,045 | 817 |
| Allahabad | 1,804 | 1,804 | 408 |
| Pratapgarh | 68 | 68 | 4 |
| Jalaun | 62 | 62 | 0 |
| Basti | 43 | 43 | 4 |
| Kasganj | 38 | 38 | 2 |
| Saharanpur | 37 | 37 | 5 |
| Gorakhpur | 33 | 33 | 16 |
| Muzaffarnagar | 32 | 32 | 5 |
| Mathura | 32 | 32 | 5 |
| Moradabad | 31 | 31 | 4 |
| Amroha | 29 | 29 | 3 |
| Bareilly | 28 | 28 | 9 |
| Ambedkar Nagar | 28 | 28 | 8 |
| Jaunpur | 27 | 27 | 2 |
| Aligarh | 27 | 27 | 5 |
| Sultanpur | 27 | 27 | 3 |
| Jhansi | 24 | 24 | 8 |
| Kanpur Nagar | 24 | 24 | 6 |
| Bijnor | 24 | 24 | 5 |
| Pilibhit | 23 | 23 | 5 |
| Unnao | 23 | 23 | 2 |
| Kanpur Dehat | 22 | 22 | 2 |
| Sonbhadra | 22 | 22 | 5 |
| Barabanki | 22 | 22 | 9 |
| Raebareli | 22 | 22 | 3 |
| Lakhimpur Kheri | 21 | 21 | 2 |
| Bulandshahr | 21 | 21 | 2 |
| Sambhal | 21 | 21 | 1 |
| Hardoi | 20 | 20 | 5 |
| Sitapur | 20 | 20 | 4 |
| Sant Kabir Nagar | 19 | 19 | 2 |
| Shamli | 19 | 19 | 1 |
| Ayodhya | 19 | 19 | 2 |
| Rampur | 18 | 18 | 2 |
| Gautam Buddha Nagar | 18 | 18 | 6 |
| Etah | 18 | 18 | 2 |
| Maharajganj | 18 | 18 | 3 |
| Hapur | 18 | 18 | 1 |
| Ghazipur | 17 | 17 | 2 |
| Kheri | 17 | 17 | 2 |
| Bahraich | 16 | 16 | 3 |
| Fatehpur | 15 | 15 | 2 |
| Mirzapur | 15 | 15 | 2 |
| Hathras | 15 | 15 | 3 |
| Auraiya | 15 | 15 | 2 |
| Budaun | 15 | 15 | 1 |
| Mainpuri | 14 | 14 | 3 |
| Baghpat | 14 | 14 | 0 |
| Balrampur | 14 | 14 | 2 |
| Gonda | 14 | 14 | 2 |
| Etawah | 14 | 14 | 0 |
| Mau | 14 | 14 | 2 |
| Chandauli | 13 | 13 | 1 |
| Chitrakoot | 13 | 13 | 1 |
| Firozabad | 13 | 13 | 3 |
| Farrukhabad | 13 | 13 | 1 |
| Shahjahanpur | 13 | 13 | 1 |
| Siddharthnagar | 12 | 12 | 1 |
| Kushinagar | 12 | 12 | 1 |
| Deoria | 12 | 12 | 2 |
| Amethi | 12 | 12 | 0 |
| Mahoba | 12 | 12 | 0 |
| Kannauj | 11 | 11 | 2 |
| Azamgarh | 11 | 11 | 4 |
| Banda | 11 | 11 | 0 |
| Shravasti | 9 | 9 | 1 |
| Bhadohi | 8 | 8 | 0 |
| Shrawasti | 8 | 8 | 0 |
| Kaushambi | 7 | 7 | 0 |
| Ballia | 7 | 7 | 2 |
| Hamirpur | 6 | 6 | 2 |
| Lalitpur | 6 | 6 | 0 |
| All cities (79) | 20,523 | 20,523 | 5,117 |
The Endocrinologist Doctor Database for Tawang, Uttar Pradesh, India includes 5,700+ 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.
Babita (IN) bought 6 days ago · Koushtubh (IN) bought 6 days ago · Ram (IN) bought 6 days ago · Madhu (IN) bought 1 week ago · Neha (IN) bought 1 week ago
The Endocrinologist Doctor Database for Tawang, Uttar Pradesh, India contains 5,700+ 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 Endocrinologist Doctor Database for Tawang, 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 endocrinologist doctor database footprint in Tawang, Uttar Pradesh, India.
Yes. The Endocrinologist 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.
Looking to connect with endocrinologists across Uttar Pradesh, India? This comprehensive Endocrinologist Doctor Database, featuring 20,523 unique records, is ideal for pharmaceutical companies aiming to expand their reach to independent practices and smaller clinics within the region. Streamline your outreach to specialized medical professionals.
Last Update:
May 11, 2026 06:00 AM
Published:
May 11, 2026 01:23 AM
Rows (Regular):
2,565
Rows (Extended):
5,700
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
