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This dataset covers 1,458 verified records spread across 12+ districts in Himachal Pradesh. 1,458 records carry a verified phone number and 510 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Lahaul and Spiti (470 listings), Bilaspur (235 listings), Shimla (157 listings), Mandi (117 listings), Sirmaur (94 listings), Chamba (78 listings), Kangra (67 listings), and Solan (59 listings).
Additional coverage spans Kinnaur (52), Kullu (47), Hamirpur (43), Una (39) .
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Lahaul and Spiti | 470 | 470 | 165 |
| Bilaspur | 235 | 235 | 82 |
| Shimla | 157 | 157 | 55 |
| Mandi | 117 | 117 | 41 |
| Sirmaur | 94 | 94 | 33 |
| Chamba | 78 | 78 | 27 |
| Kangra | 67 | 67 | 23 |
| Solan | 59 | 59 | 21 |
| Kinnaur | 52 | 52 | 18 |
| Kullu | 47 | 47 | 16 |
| All districts (12) | 1,458 | 1,458 | 510 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Lahaul and Spiti | 470 | 470 | 165 |
| Bilaspur | 235 | 235 | 82 |
| Shimla | 157 | 157 | 55 |
| Mandi | 117 | 117 | 41 |
| Sirmaur | 94 | 94 | 33 |
| Chamba | 78 | 78 | 27 |
| Kangra | 67 | 67 | 23 |
| Solan | 59 | 59 | 21 |
| Kinnaur | 52 | 52 | 18 |
| Kullu | 47 | 47 | 16 |
| Hamirpur | 43 | 43 | 15 |
| Una | 39 | 39 | 14 |
| All districts (12) | 1,458 | 1,458 | 510 |
The Himachal Pradesh Convenience stores database includes 1,458+ verified Himachal Pradesh Convenience stores in Himachal 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 1,458+ live Himachal Pradesh Convenience stores across Himachal Pradesh, India. Every entry on the downloadable CSV is verified and ships with phone, address, opening hours and Google coordinates.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Himachal Pradesh Convenience stores CSV covering all of Himachal Pradesh, India within seconds. Every row is human-checked.
Each Himachal Pradesh Convenience record carries the full operational profile: Himachal Pradesh Convenience store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL along with website, hours, Google rating and review volume. CSV opens directly in Excel / Sheets / Power BI / Looker.
Each Himachal Pradesh Convenience row goes through phone validation, address cross-check against Google Maps and a check against the official Himachal Pradesh Convenience Himachal Pradesh, India locator. Records that fail any of those drop before you ever see them.
Yes. The Himachal Pradesh Convenience 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 Himachal Pradesh Convenience 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 Himachal Pradesh Convenience stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Data2Sales AI's World Wide Data database for Himachal Pradesh, India consolidates 1,458+ verified records into a single, verified contact list. The engine crosses multiple sources — official websites, business registries, social profiles, licensed directories — and validates each record monthly, so your sales pipeline starts with accurate data instead of a spreadsheet of guesses.
Last Update:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 02:23 AM
Rows (Regular):
656
Rows (Extended):
1,458
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