This dataset covers 8,208 verified records spread across
20+ districts in Jammu and Kashmir.
8,208 records carry a verified phone number and
2,873 include a business website — directly usable for
outreach, segmentation, and CRM import.
The highest-density districts are
Srinagar (2,281 listings), Reasi (1,141 listings), Doda (760 listings), Baramulla (570 listings), Jammu (456 listings), Shopian (380 listings), Kupwara (326 listings), and Pulwama (285 listings).
The Clothing stores database includes 8,208+ verified Clothing stores in Jammu and Kashmir, 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.
How to use this data
Local marketing — geo-target ads and outreach against every Clothing catchment in Jammu and Kashmir, India.
Retail-media planning — buy ad space inside or around Clothing hubs based on this catchment map of Jammu and Kashmir, India.
Field-rep mobile app — push the Clothing list to your reps' phones for offline visit logging.
Frequently asked about this dataset
How many Clothing stores are in Jammu and Kashmir, India?
There are roughly 8,208+ Clothing stores in Jammu and Kashmir, 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.
Where can I download a database of all Clothing stores in Jammu and Kashmir, India?
The complete Clothing stores database for Jammu and Kashmir, India is available on this page from Data2Sales AI as an instant CSV download. It covers every verified Clothing location with address, phone, hours, website and GPS coordinates.
What fields are included in the Clothing stores dataset?
Each Clothing record carries the full operational profile: Clothing 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.
How accurate is the Clothing stores location data?
We verify each Clothing entry against the brand's official locator, Google Places and our directory partners on a 30-day cycle. Anything closed or with a dead phone gets dropped before export, so the CSV is the live Jammu and Kashmir, India footprint, not last year's.
Is the Clothing stores data updated?
Yes. The Clothing 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.
Can I use the Clothing stores data for marketing and sales outreach?
Yes — the dataset is licensed for commercial use after purchase. Common use cases include geo-targeted advertising against Clothing catchments, competitor benchmarking, site-selection analytics, supplier outreach and franchise planning. Personal consumer data is not included, only publicly listed business contact information.
What format do I receive the Clothing stores database in?
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.
How soon after purchase can I download the Clothing stores CSV?
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 Clothing stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
About the Clothing Stores Database in Jammu and Kashmir, India
Looking to reach world wide data decision-makers in Jammu and Kashmir, India? This database aggregates 8,208+ 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.