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This dataset covers 43,193 verified records spread across 79+ cities in Uttar Pradesh. 43,193 records carry a verified phone number and 24,436 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density cities are Meerut (5,512 listings), Ghaziabad (4,732 listings), Prayagraj (4,710 listings), Agra (4,557 listings), Lucknow (4,554 listings), Kanpur (4,194 listings), Varanasi (4,180 listings), and Allahabad (3,564 listings).
Additional coverage spans Bareilly (159), Mirzapur (118), Kanpur Nagar (109), Sultanpur (96), Gorakhpur (87), Hardoi (85), Aligarh (85), Hathras (83), Saharanpur (73), Mathura (72), Jhansi (68), Etawah (68) , plus 59 more cities.
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Meerut | 5,512 | 5,512 | 3,050 |
| Ghaziabad | 4,732 | 4,732 | 2,858 |
| Prayagraj | 4,710 | 4,710 | 2,404 |
| Agra | 4,557 | 4,557 | 2,770 |
| Lucknow | 4,554 | 4,554 | 2,881 |
| Kanpur | 4,194 | 4,194 | 2,417 |
| Varanasi | 4,180 | 4,180 | 2,513 |
| Allahabad | 3,564 | 3,564 | 1,850 |
| Bareilly | 159 | 159 | 105 |
| Mirzapur | 118 | 118 | 46 |
| All cities (80) | 43,193 | 43,193 | 24,436 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Meerut | 5,512 | 5,512 | 3,050 |
| Ghaziabad | 4,732 | 4,732 | 2,858 |
| Prayagraj | 4,710 | 4,710 | 2,404 |
| Agra | 4,557 | 4,557 | 2,770 |
| Lucknow | 4,554 | 4,554 | 2,881 |
| Kanpur | 4,194 | 4,194 | 2,417 |
| Varanasi | 4,180 | 4,180 | 2,513 |
| Allahabad | 3,564 | 3,564 | 1,850 |
| Bareilly | 159 | 159 | 105 |
| Mirzapur | 118 | 118 | 46 |
| Kanpur Nagar | 109 | 109 | 61 |
| Sultanpur | 96 | 96 | 41 |
| Gorakhpur | 87 | 87 | 58 |
| Hardoi | 85 | 85 | 38 |
| Aligarh | 85 | 85 | 57 |
| Hathras | 83 | 83 | 36 |
| Saharanpur | 73 | 73 | 40 |
| Mathura | 72 | 72 | 40 |
| Jhansi | 68 | 68 | 40 |
| Etawah | 68 | 68 | 32 |
| Gautam Buddha Nagar | 67 | 67 | 50 |
| Deoria | 66 | 66 | 26 |
| Barabanki | 66 | 66 | 33 |
| Hapur | 66 | 66 | 25 |
| Pratapgarh | 64 | 64 | 29 |
| Ghazipur | 63 | 63 | 30 |
| Muzaffarnagar | 63 | 63 | 32 |
| Moradabad | 63 | 63 | 38 |
| Jaunpur | 62 | 62 | 33 |
| Firozabad | 59 | 59 | 22 |
| Sitapur | 57 | 57 | 27 |
| Pilibhit | 56 | 56 | 27 |
| Azamgarh | 54 | 54 | 29 |
| Shahjahanpur | 53 | 53 | 26 |
| Raebareli | 53 | 53 | 29 |
| Mainpuri | 53 | 53 | 20 |
| Amroha | 52 | 52 | 24 |
| Unnao | 50 | 50 | 19 |
| Farrukhabad | 48 | 48 | 23 |
| Ayodhya | 48 | 48 | 27 |
| Bulandshahr | 48 | 48 | 27 |
| Etah | 46 | 46 | 19 |
| Shamli | 46 | 46 | 18 |
| Kushinagar | 45 | 45 | 20 |
| Mau | 45 | 45 | 13 |
| Kannauj | 44 | 44 | 18 |
| Gonda | 43 | 43 | 19 |
| Kanpur Dehat | 42 | 42 | 16 |
| Fatehpur | 41 | 41 | 14 |
| Budaun | 40 | 40 | 17 |
| Bahraich | 40 | 40 | 14 |
| Maharajganj | 40 | 40 | 22 |
| Basti | 39 | 39 | 17 |
| Sant Kabir Nagar | 37 | 37 | 17 |
| Lalitpur | 37 | 37 | 9 |
| Bhadohi | 35 | 35 | 10 |
| Ambedkar Nagar | 35 | 35 | 25 |
| Sonbhadra | 35 | 35 | 20 |
| Rampur | 34 | 34 | 14 |
| Auraiya | 34 | 34 | 9 |
| Baghpat | 33 | 33 | 13 |
| Bijnor | 33 | 33 | 14 |
| Chandauli | 32 | 32 | 16 |
| Kheri | 32 | 32 | 14 |
| Banda | 32 | 32 | 11 |
| Sambhal | 31 | 31 | 12 |
| Kasganj | 30 | 30 | 9 |
| Lakhimpur Kheri | 30 | 30 | 0 |
| Amethi | 24 | 24 | 13 |
| Mahoba | 24 | 24 | 8 |
| Ballia | 23 | 23 | 18 |
| Jalaun | 22 | 22 | 12 |
| Kaushambi | 21 | 21 | 14 |
| Balrampur | 21 | 21 | 11 |
| Shrawasti | 17 | 17 | 2 |
| Chitrakoot | 16 | 16 | 9 |
| Siddharthnagar | 11 | 11 | 7 |
| Hamirpur | 9 | 9 | 3 |
| Shravasti | 8 | 8 | 1 |
| Smaller regions (combined) | 3,629 | 3,629 | 1,963 |
| All cities (80) | 43,193 | 43,193 | 24,436 |
The Upper Primary Schools database for Uttar Pradesh, India includes 39,266+ 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 Upper Primary Schools database for Uttar Pradesh, India contains 39,266+ 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 Upper Primary Schools 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 upper primary schools footprint in Uttar Pradesh, India.
Yes. The Upper Primary Schools 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 reach world wide data decision-makers in Uttar Pradesh, India? This database aggregates 39,266+ verified records through the Data2Sales AI engine, pulling from verified public registries, official websites, social profiles, and licensed data partners. Dead numbers, closed storefronts, and duplicates are stripped before export — you receive a clean, CRM-ready CSV.
Last Update:
Jul 07, 2026 02:37 AM
Published:
May 11, 2026 02:28 AM
Rows (Regular):
17,670
Rows (Extended):
39,266
Category:
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
