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This dataset covers 1,692 verified records spread across 12+ districts in Himachal Pradesh. 1,692 records carry a verified phone number and 592 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Bilaspur (545 listings), Sirmaur (273 listings), Solan (182 listings), Chamba (136 listings), Kullu (109 listings), Una (91 listings), Shimla (78 listings), and Kangra (68 listings).
Additional coverage spans Lahaul and Spiti (61), Mandi (55), Hamirpur (50), Kinnaur (44) .
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Bilaspur | 545 | 545 | 191 |
| Sirmaur | 273 | 273 | 96 |
| Solan | 182 | 182 | 64 |
| Chamba | 136 | 136 | 48 |
| Kullu | 109 | 109 | 38 |
| Una | 91 | 91 | 32 |
| Shimla | 78 | 78 | 27 |
| Kangra | 68 | 68 | 24 |
| Lahaul and Spiti | 61 | 61 | 21 |
| Mandi | 55 | 55 | 19 |
| All districts (12) | 1,692 | 1,692 | 592 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Bilaspur | 545 | 545 | 191 |
| Sirmaur | 273 | 273 | 96 |
| Solan | 182 | 182 | 64 |
| Chamba | 136 | 136 | 48 |
| Kullu | 109 | 109 | 38 |
| Una | 91 | 91 | 32 |
| Shimla | 78 | 78 | 27 |
| Kangra | 68 | 68 | 24 |
| Lahaul and Spiti | 61 | 61 | 21 |
| Mandi | 55 | 55 | 19 |
| Hamirpur | 50 | 50 | 18 |
| Kinnaur | 44 | 44 | 15 |
| All districts (12) | 1,692 | 1,692 | 592 |
The Validated stores database includes 1,692+ verified Validated 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.
There are roughly 1,692+ Validated stores in Himachal Pradesh, India as of 2026. The full list is available as a CSV download on this page with name, address, phone, hours and GPS coordinates for every location.
Data2Sales AI hosts the most up-to-date Validated stores list for Himachal Pradesh, India; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Each Validated record carries the full operational profile: Validated 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.
Every Validated location is cross-referenced across the Validated 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 Validated footprint in Himachal Pradesh, India.
Yes. The Validated 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 Validated 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 Validated 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 1,692+ verified records operating in Himachal 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.
Published:
May 11, 2026 02:23 AM
Rows (Regular):
761
Rows (Extended):
1,692
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
