RANGA REDDY district, TELANGANA, India
| Pincode | 500104 |
|---|---|
| Post Office | Chitrapuri Colony. |
| Office Type | PO |
| Delivery Status | Delivery |
| District | RANGA REDDY |
| State | TELANGANA |
| Division | Hyderabad City |
| Region | Hyderabad |
| Circle | Telangana |
If you need to confirm the correct postal details for Chitrapuri Colony., this page gives a district-level and state-level view of how pincode 500104 fits into the wider postal network.
Chitrapuri Colony. forms part of the wider local postal system used for address matching and serviceability checks.
This pincode currently maps to a single office entry in our dataset, so the office name and code align more directly than in multi-office pincode clusters.
RANGA REDDY is part of a denser postal network in our dataset, with 271 office records across 55 unique pincodes. That makes office-level verification more important.
TELANGANA is part of a large state-level postal directory in our dataset, with 33 districts and 6253 office records currently indexed.
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.
Because the district has a denser office-to-pincode structure, office name and delivery-status matching become more important than the code alone.
This office sits inside a large state postal network, so district and office-level matching both matter when you want an accurate final result.
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 Abdullapurmet, Adibhatla, Aghapalli. 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.