KISHTWAR district, JAMMU AND KASHMIR, India
| Pincode | 182206 |
|---|---|
| Post Office | Dul Hasti Project |
| Office Type | PO |
| Delivery Status | Delivery |
| District | KISHTWAR |
| State | JAMMU AND KASHMIR |
| Division | Udhampur |
| Region | JAMMU RN |
| Circle | Jammu Kashmir |
Dul Hasti Project Post Office uses pincode 182206 and serves part of KISHTWAR district in JAMMU AND KASHMIR. This page works as a local postal reference rather than only a raw directory row.
Dul Hasti Project forms part of the wider local postal system used for address matching and serviceability checks.
In our current directory, Dul Hasti Project appears as a single office entry under pincode 182206, which makes this page useful when you want a cleaner office-to-code match.
KISHTWAR is part of a denser postal network in our dataset, with 35 office records across 13 unique pincodes. That makes office-level verification more important.
JAMMU AND KASHMIR currently spans 20 districts and 1617 office records in our directory, giving this page a broader regional reference.
This page is especially useful when you already know the district or post office name but want to confirm the exact postal code before using it in banking, KYC, ecommerce checkout, or courier forms.
For this code, the office-level match is more straightforward because the pincode currently maps to one office entry in our dataset.
KISHTWAR is part of a denser postal network in our directory, with 35 office records across 13 unique pincodes.
JAMMU AND KASHMIR currently spans 20 districts and 1617 office records in our directory, giving this page a broader regional reference.
The office-level detail on this page helps connect the pincode to a real postal entry rather than treating the code as an isolated number.
Nearby office names in the same district include Aftee, Badhat, Banoon. Comparing nearby offices can be useful when office names or delivery expectations are similar.
For this code, the office-level match is more straightforward because the pincode currently maps to one office entry in our dataset.
When multiple entries share the same pincode, the office name, district, and delivery status together give a more reliable reference than the six-digit code alone.