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This dataset covers 2,937 verified records spread across 79+ districts in Uttar Pradesh. 2,937 records carry a verified phone number and 1,028 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Hamirpur (593 listings), Jhansi (296 listings), Mathura (198 listings), Mainpuri (148 listings), Ghaziabad (119 listings), Gautam Buddha Nagar (99 listings), Jaunpur (85 listings), and Pilibhit (74 listings).
Additional coverage spans Sant Kabir Nagar (66), Maharajganj (59), Sambhal (54), Ambedkar Nagar (49), Jalaun (46), Azamgarh (42), Mahoba (40), Kaushambi (37), Bareilly (35), Etawah (33), Meerut (31), Shahjahanpur (30) , plus 59 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Hamirpur | 593 | 593 | 208 |
| Jhansi | 296 | 296 | 104 |
| Mathura | 198 | 198 | 69 |
| Mainpuri | 148 | 148 | 52 |
| Ghaziabad | 119 | 119 | 42 |
| Gautam Buddha Nagar | 99 | 99 | 35 |
| Jaunpur | 85 | 85 | 30 |
| Pilibhit | 74 | 74 | 26 |
| Sant Kabir Nagar | 66 | 66 | 23 |
| Maharajganj | 59 | 59 | 21 |
| All districts (79) | 2,937 | 2,937 | 1,028 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Hamirpur | 593 | 593 | 208 |
| Jhansi | 296 | 296 | 104 |
| Mathura | 198 | 198 | 69 |
| Mainpuri | 148 | 148 | 52 |
| Ghaziabad | 119 | 119 | 42 |
| Gautam Buddha Nagar | 99 | 99 | 35 |
| Jaunpur | 85 | 85 | 30 |
| Pilibhit | 74 | 74 | 26 |
| Sant Kabir Nagar | 66 | 66 | 23 |
| Maharajganj | 59 | 59 | 21 |
| Sambhal | 54 | 54 | 19 |
| Ambedkar Nagar | 49 | 49 | 17 |
| Jalaun | 46 | 46 | 16 |
| Azamgarh | 42 | 42 | 15 |
| Mahoba | 40 | 40 | 14 |
| Kaushambi | 37 | 37 | 13 |
| Bareilly | 35 | 35 | 12 |
| Etawah | 33 | 33 | 12 |
| Meerut | 31 | 31 | 11 |
| Shahjahanpur | 30 | 30 | 11 |
| Bulandshahr | 28 | 28 | 10 |
| Raebareli | 27 | 27 | 9 |
| Moradabad | 26 | 26 | 9 |
| Amroha | 25 | 25 | 9 |
| Shrawasti | 24 | 24 | 8 |
| Agra | 23 | 23 | 8 |
| Auraiya | 22 | 22 | 8 |
| Prayagraj | 21 | 21 | 7 |
| Muzaffarnagar | 20 | 20 | 7 |
| Kanpur | 20 | 20 | 7 |
| Hapur | 19 | 19 | 7 |
| Bahraich | 19 | 19 | 7 |
| Siddharthnagar | 18 | 18 | 6 |
| Bijnor | 17 | 17 | 6 |
| Sitapur | 17 | 17 | 6 |
| Rampur | 16 | 16 | 6 |
| Shravasti | 16 | 16 | 6 |
| Lalitpur | 16 | 16 | 6 |
| Kushinagar | 15 | 15 | 5 |
| Balrampur | 15 | 15 | 5 |
| Varanasi | 14 | 14 | 5 |
| Deoria | 14 | 14 | 5 |
| Barabanki | 14 | 14 | 5 |
| Saharanpur | 13 | 13 | 5 |
| Basti | 13 | 13 | 5 |
| Budaun | 13 | 13 | 5 |
| Mau | 13 | 13 | 5 |
| Ayodhya | 12 | 12 | 4 |
| Chitrakoot | 12 | 12 | 4 |
| Bhadohi | 12 | 12 | 4 |
| Lakhimpur Kheri | 12 | 12 | 4 |
| Farrukhabad | 11 | 11 | 4 |
| Amethi | 11 | 11 | 4 |
| Ghazipur | 11 | 11 | 4 |
| Kannauj | 11 | 11 | 4 |
| Ballia | 11 | 11 | 4 |
| Kheri | 10 | 10 | 4 |
| Unnao | 10 | 10 | 4 |
| Hathras | 10 | 10 | 4 |
| Fatehpur | 10 | 10 | 4 |
| Kanpur Dehat | 10 | 10 | 4 |
| Aligarh | 10 | 10 | 4 |
| Allahabad | 9 | 9 | 3 |
| Banda | 9 | 9 | 3 |
| Baghpat | 9 | 9 | 3 |
| Pratapgarh | 9 | 9 | 3 |
| Etah | 9 | 9 | 3 |
| Sonbhadra | 9 | 9 | 3 |
| Hardoi | 9 | 9 | 3 |
| Shamli | 8 | 8 | 3 |
| Gorakhpur | 8 | 8 | 3 |
| Kanpur Nagar | 8 | 8 | 3 |
| Lucknow | 8 | 8 | 3 |
| Mirzapur | 8 | 8 | 3 |
| Firozabad | 8 | 8 | 3 |
| Kasganj | 8 | 8 | 3 |
| Sultanpur | 8 | 8 | 3 |
| Chandauli | 8 | 8 | 3 |
| Gonda | 7 | 7 | 2 |
| All districts (79) | 2,937 | 2,937 | 1,028 |
The Home Decor stores database includes 2,937+ verified Home Decor stores in Uttar Pradesh, India with name, address, city, state, phone, hours, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
Counting only operational sites, the Home Decor footprint in Uttar Pradesh, India sits at about 2,937+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
The complete Home Decor stores database for Uttar Pradesh, India is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Home Decor location with address, phone, hours, website and GPS coordinates.
Every record in the Home Decor stores dataset includes: Home Decor store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
Triple-source verification: the Home Decor store locator, Google Maps data and licensed B2B directories all have to agree before a record makes the CSV. Dead phones and 'permanently closed' markers prune the list every month.
Yes. The Home Decor stores dataset is rebuilt on a rolling 30-day cycle — new openings come in through franchise expansion feeds and registrar filings, closures are detected from negative Google signals (phone disconnected, 'permanently closed' markers) and dropped before export.
Yes — the dataset is licensed for commercial use after purchase. Common use cases include geo-targeted advertising against Home Decor catchments, competitor benchmarking, site-selection analytics, supplier outreach and franchise planning. Personal consumer data is not included, only publicly listed business contact information.
You receive a UTF-8 encoded CSV file. It opens cleanly in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request after purchase.
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time, so you always receive the latest verified Home Decor stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
The World Wide Data Database for Uttar Pradesh, India is a 2,937+ verified records directory of world wide data businesses — aggregated through the Data2Sales AI engine, cross-referenced across public business registries, official company websites, licensed directory partners, and social platforms, then re-verified monthly so every record in the export is deliverable on day one.
Last Update:
Aug 04, 2026 05:45 AM
Published:
May 11, 2026 02:29 AM
Rows (Regular):
1,469
Rows (Extended):
2,937
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
