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This dataset covers 5,258 verified records spread across 79+ districts in Uttar Pradesh. 5,258 records carry a verified phone number and 1,840 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Prayagraj (1,062 listings), Shrawasti (531 listings), Fatehpur (354 listings), Aligarh (265 listings), Baghpat (212 listings), Hathras (177 listings), Moradabad (152 listings), and Mahoba (133 listings).
Additional coverage spans Raebareli (118), Jalaun (106), Hapur (97), Jhansi (88), Bulandshahr (82), Ambedkar Nagar (76), Mirzapur (71), Balrampur (66), Lucknow (62), Shravasti (59), Saharanpur (56), Kasganj (53) , plus 59 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Prayagraj | 1,062 | 1,062 | 372 |
| Shrawasti | 531 | 531 | 186 |
| Fatehpur | 354 | 354 | 124 |
| Aligarh | 265 | 265 | 93 |
| Baghpat | 212 | 212 | 74 |
| Hathras | 177 | 177 | 62 |
| Moradabad | 152 | 152 | 53 |
| Mahoba | 133 | 133 | 47 |
| Raebareli | 118 | 118 | 41 |
| Jalaun | 106 | 106 | 37 |
| All districts (79) | 5,258 | 5,258 | 1,840 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Prayagraj | 1,062 | 1,062 | 372 |
| Shrawasti | 531 | 531 | 186 |
| Fatehpur | 354 | 354 | 124 |
| Aligarh | 265 | 265 | 93 |
| Baghpat | 212 | 212 | 74 |
| Hathras | 177 | 177 | 62 |
| Moradabad | 152 | 152 | 53 |
| Mahoba | 133 | 133 | 47 |
| Raebareli | 118 | 118 | 41 |
| Jalaun | 106 | 106 | 37 |
| Hapur | 97 | 97 | 34 |
| Jhansi | 88 | 88 | 31 |
| Bulandshahr | 82 | 82 | 29 |
| Ambedkar Nagar | 76 | 76 | 27 |
| Mirzapur | 71 | 71 | 25 |
| Balrampur | 66 | 66 | 23 |
| Lucknow | 62 | 62 | 22 |
| Shravasti | 59 | 59 | 21 |
| Saharanpur | 56 | 56 | 20 |
| Kasganj | 53 | 53 | 19 |
| Chitrakoot | 51 | 51 | 18 |
| Lakhimpur Kheri | 48 | 48 | 17 |
| Muzaffarnagar | 46 | 46 | 16 |
| Maharajganj | 44 | 44 | 15 |
| Rampur | 42 | 42 | 15 |
| Bhadohi | 41 | 41 | 14 |
| Ghaziabad | 39 | 39 | 14 |
| Bijnor | 38 | 38 | 13 |
| Sant Kabir Nagar | 37 | 37 | 13 |
| Ayodhya | 35 | 35 | 12 |
| Ghazipur | 34 | 34 | 12 |
| Agra | 33 | 33 | 12 |
| Shahjahanpur | 32 | 32 | 11 |
| Amroha | 31 | 31 | 11 |
| Kaushambi | 30 | 30 | 11 |
| Pratapgarh | 29 | 29 | 10 |
| Etawah | 29 | 29 | 10 |
| Meerut | 28 | 28 | 10 |
| Kanpur | 27 | 27 | 9 |
| Kannauj | 27 | 27 | 9 |
| Siddharthnagar | 26 | 26 | 9 |
| Sonbhadra | 25 | 25 | 9 |
| Gonda | 25 | 25 | 9 |
| Allahabad | 24 | 24 | 8 |
| Ballia | 24 | 24 | 8 |
| Auraiya | 23 | 23 | 8 |
| Bahraich | 23 | 23 | 8 |
| Budaun | 22 | 22 | 8 |
| Chandauli | 22 | 22 | 8 |
| Sultanpur | 21 | 21 | 7 |
| Deoria | 21 | 21 | 7 |
| Lalitpur | 20 | 20 | 7 |
| Banda | 20 | 20 | 7 |
| Firozabad | 20 | 20 | 7 |
| Amethi | 19 | 19 | 7 |
| Varanasi | 19 | 19 | 7 |
| Gorakhpur | 19 | 19 | 7 |
| Gautam Buddha Nagar | 18 | 18 | 6 |
| Sitapur | 18 | 18 | 6 |
| Unnao | 18 | 18 | 6 |
| Kheri | 17 | 17 | 6 |
| Jaunpur | 17 | 17 | 6 |
| Kushinagar | 17 | 17 | 6 |
| Hamirpur | 17 | 17 | 6 |
| Hardoi | 16 | 16 | 6 |
| Shamli | 16 | 16 | 6 |
| Mainpuri | 16 | 16 | 6 |
| Kanpur Dehat | 16 | 16 | 6 |
| Mathura | 15 | 15 | 5 |
| Mau | 15 | 15 | 5 |
| Etah | 15 | 15 | 5 |
| Barabanki | 15 | 15 | 5 |
| Pilibhit | 15 | 15 | 5 |
| Sambhal | 14 | 14 | 5 |
| Kanpur Nagar | 14 | 14 | 5 |
| Azamgarh | 14 | 14 | 5 |
| Farrukhabad | 14 | 14 | 5 |
| Basti | 14 | 14 | 5 |
| Bareilly | 13 | 13 | 5 |
| All districts (79) | 5,258 | 5,258 | 1,840 |
The Flooring stores database includes 5,258+ verified Flooring 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.
Our latest 2026 count shows 5,258+ live Flooring stores across Uttar Pradesh, India. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
Data2Sales AI hosts the most up-to-date Flooring stores list for Uttar Pradesh, India; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Every record in the Flooring stores dataset includes: Flooring 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.
Each Flooring row goes through phone validation, address cross-check against Google Maps and a check against the official Flooring Uttar Pradesh, India locator. Records that fail any of those drop before you ever see them.
Yes. The Flooring 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 Flooring 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 Flooring stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
This World Wide Data list covers 5,258+ verified records operating in Uttar Pradesh, 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.
Last Update:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 02:29 AM
Rows (Regular):
2,366
Rows (Extended):
5,258
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
