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This dataset covers 60 verified records spread across 12+ districts in Himachal Pradesh. 60 records carry a verified phone number and 21 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Kangra (19 listings), Kinnaur (10 listings), Hamirpur (6 listings), Mandi (5 listings), Shimla (4 listings), Kullu (3 listings), Sirmaur (3 listings), and Lahaul and Spiti (2 listings).
Additional coverage spans Bilaspur (2), Una (2), Solan (2), Chamba (2) .
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kangra | 19 | 19 | 7 |
| Kinnaur | 10 | 10 | 4 |
| Hamirpur | 6 | 6 | 2 |
| Mandi | 5 | 5 | 2 |
| Shimla | 4 | 4 | 1 |
| Kullu | 3 | 3 | 1 |
| Sirmaur | 3 | 3 | 1 |
| Lahaul and Spiti | 2 | 2 | 1 |
| Bilaspur | 2 | 2 | 1 |
| Una | 2 | 2 | 1 |
| All districts (12) | 60 | 60 | 21 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Kangra | 19 | 19 | 7 |
| Kinnaur | 10 | 10 | 4 |
| Hamirpur | 6 | 6 | 2 |
| Mandi | 5 | 5 | 2 |
| Shimla | 4 | 4 | 1 |
| Kullu | 3 | 3 | 1 |
| Sirmaur | 3 | 3 | 1 |
| Lahaul and Spiti | 2 | 2 | 1 |
| Bilaspur | 2 | 2 | 1 |
| Una | 2 | 2 | 1 |
| Solan | 2 | 2 | 1 |
| Chamba | 2 | 2 | 1 |
| All districts (12) | 60 | 60 | 21 |
The Department stores database includes 60+ verified Department 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.
Department currently operates 60+ stores in Himachal Pradesh, India (as of 2026). Buy access on this page and you get the master CSV with every store's verified contact + geolocation row.
This page IS the download point. The Department stores CSV for Himachal Pradesh, India ships immediately after payment and includes all verified store-level fields.
Per-row columns include Department store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and the surrounding context fields (website, opening hours, Google rating, review count). Delivered as a CRM-ready UTF-8 CSV.
Every Department location is cross-referenced across the Department store locator, Google Maps and licensed business directories before it ships. Closed storefronts, disconnected phones and duplicate listings are stripped on every monthly refresh, so the CSV you download reflects the live Department footprint in Himachal Pradesh, India.
Yes. The Department 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 Department 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 Department 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 60+ 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 (Extended):
60
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
