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This dataset covers 1,080 verified records spread across 12+ districts in Himachal Pradesh. 1,080 records carry a verified phone number and 378 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Chamba (348 listings), Kullu (174 listings), Solan (116 listings), Shimla (87 listings), Sirmaur (70 listings), Hamirpur (58 listings), Mandi (50 listings), and Bilaspur (44 listings).
Additional coverage spans Una (39), Kinnaur (35), Lahaul and Spiti (32), Kangra (27) .
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Chamba | 348 | 348 | 122 |
| Kullu | 174 | 174 | 61 |
| Solan | 116 | 116 | 41 |
| Shimla | 87 | 87 | 30 |
| Sirmaur | 70 | 70 | 25 |
| Hamirpur | 58 | 58 | 20 |
| Mandi | 50 | 50 | 18 |
| Bilaspur | 44 | 44 | 15 |
| Una | 39 | 39 | 14 |
| Kinnaur | 35 | 35 | 12 |
| All districts (12) | 1,080 | 1,080 | 378 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Chamba | 348 | 348 | 122 |
| Kullu | 174 | 174 | 61 |
| Solan | 116 | 116 | 41 |
| Shimla | 87 | 87 | 30 |
| Sirmaur | 70 | 70 | 25 |
| Hamirpur | 58 | 58 | 20 |
| Mandi | 50 | 50 | 18 |
| Bilaspur | 44 | 44 | 15 |
| Una | 39 | 39 | 14 |
| Kinnaur | 35 | 35 | 12 |
| Lahaul and Spiti | 32 | 32 | 11 |
| Kangra | 27 | 27 | 9 |
| All districts (12) | 1,080 | 1,080 | 378 |
The Tea restaurants database includes 1,080+ verified Tea restaurants 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 1,080+ Tea restaurants 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 Tea restaurants list for Himachal Pradesh, India; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Each Tea record carries the full operational profile: Tea 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 Tea location is cross-referenced across the Tea 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 Tea footprint in Himachal Pradesh, India.
Yes. The Tea restaurants 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 Tea 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 Tea restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Looking to reach world wide data decision-makers in Himachal Pradesh, India? This database aggregates 1,080+ verified records through the Data2Sales AI engine, pulling from verified public registries, official websites, social profiles, and licensed data partners. Dead numbers, closed storefronts, and duplicates are stripped before export — you receive a clean, CRM-ready CSV.
Last Update:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 02:23 AM
Rows (Regular):
486
Rows (Extended):
1,080
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
