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This dataset covers 620 verified records spread across 12+ cities in Himachal Pradesh. 620 records carry a verified phone number and 175 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density cities are Una (96 listings), Shimla (83 listings), Sirmaur (75 listings), Bilaspur (73 listings), Lahaul and Spiti (65 listings), Solan (60 listings), Kangra (49 listings), and Mandi (41 listings).
Additional coverage spans Hamirpur (27), Kinnaur (25), Kullu (16), Chamba (10) .
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Una | 96 | 96 | 30 |
| Shimla | 83 | 83 | 26 |
| Sirmaur | 75 | 75 | 24 |
| Bilaspur | 73 | 73 | 13 |
| Lahaul and Spiti | 65 | 65 | 15 |
| Solan | 60 | 60 | 24 |
| Kangra | 49 | 49 | 16 |
| Mandi | 41 | 41 | 11 |
| Hamirpur | 27 | 27 | 4 |
| Kinnaur | 25 | 25 | 9 |
| All cities (12) | 620 | 620 | 175 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Una | 96 | 96 | 30 |
| Shimla | 83 | 83 | 26 |
| Sirmaur | 75 | 75 | 24 |
| Bilaspur | 73 | 73 | 13 |
| Lahaul and Spiti | 65 | 65 | 15 |
| Solan | 60 | 60 | 24 |
| Kangra | 49 | 49 | 16 |
| Mandi | 41 | 41 | 11 |
| Hamirpur | 27 | 27 | 4 |
| Kinnaur | 25 | 25 | 9 |
| Kullu | 16 | 16 | 2 |
| Chamba | 10 | 10 | 1 |
| All cities (12) | 620 | 620 | 175 |
The Jewelry Retail stores database includes 620+ verified Jewelry Retail 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.
Sapna (IN) bought 20 hours ago · Bhairavi (IN) bought 3 days ago · Srinivasan (IN) bought 5 days ago · Bhanupriya (IN) bought 1 week ago · Vaishali (IN) bought 1 week ago
Counting only operational sites, the Jewelry Retail footprint in Himachal Pradesh, India sits at about 620+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
This page IS the download point. The Jewelry Retail stores CSV for Himachal Pradesh, India ships immediately after payment and includes all verified store-level fields.
Per-row columns include Jewelry Retail 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.
Triple-source verification: the Jewelry Retail 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 Jewelry Retail 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 Jewelry Retail 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 Jewelry Retail stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Seeking to expand your reach within Himachal Pradesh's vibrant jewelry retail sector? This curated list offers direct contact details for 620 jewelry stores across the region, ideal for understanding independent boutique expansion opportunities or mapping out potential wholesale partnerships.
Last Update:
Jul 05, 2026 03:00 AM
Published:
May 02, 2026 02:37 AM
Rows (Extended):
620
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
