Indonesia Postal Codes & Zip Codes - Format, List & Examples
Indonesia Postal Codes - Format, Structure & Examples by Province
Access structured postal-code data for Indonesia, organized by province, city, street, and location. Designed for address validation, logistics, data enrichment, mapping, and analytics that rely on accurate Indonesian postal codes.
View Sample Files | Get Full Dataset
Dataset Overview
PostcodeZip provides a ready-to-use database covering 194,805 streets across 2,932 cities and 4,990 postal codes in 266 provinces of Indonesia.
- 194,805 streets
- 2,932 cities
- 4,990 postal codes
- 266 provinces
- 276 occurrences of Jalan Anggrek
What This Data Can Be Used For
- Postal code lookup and address validation for Indonesian addresses
- Autocomplete for forms and search fields using city and postal-code suggestions
- Location-based analytics and reporting by province and city
- Database enrichment and customer record matching
- Logistics, delivery, and route planning across Indonesian cities
- Mapping, geocoding, and geographic visualizations
Available Files
Depending on your project, you can choose one or more of the following files:
- Regions file - provinces and subdivisions
- Locations file - cities and postal codes
- Streets file - street-level location data with coordinates
- Addresses file - individual addresses with geolocation (where available)
Each file is available as a sample preview before purchase.
Sample Files Preview
Download a sample file or preview a few example rows before purchasing.
Regions File
| Country Code | Country | Region | Region2 | Region3 | Region4 |
|---|---|---|---|---|---|
| ID | Indonesia | Majalengka | Dawuan | ||
| ID | Indonesia | Pasuruan | Pager | ||
| ID | Indonesia | Semarang | Gondoriyo |
Locations File
| Country Code | Country | Region | City | Postal Code |
|---|---|---|---|---|
| ID | Indonesia | Sukabumi | Sukaraja | 43192 |
| ID | Indonesia | Banyumas | Kalibagor | 53191 |
| ID | Indonesia | Bantul | Banguntapan | 55171 |
Streets File
| Country Code | Country | Region | City | Postal Code | Street | Latitude | Longitude | Elevation (m) | Geocoding Level | Accuracy Radius (m) |
|---|---|---|---|---|---|---|---|---|---|---|
| ID | Indonesia | Jakarta Utara | Kelapa Gading | 14250 | Jalan Arteri Kelapa Gading | -6.1794216 | 106.9112197 | 6 | STREET | 50 |
| ID | Indonesia | Lombok Barat | Labuapi | 83361 | Gang Sempit | -8.6272633 | 116.1256516 | 26 | CITY | 1000 |
| ID | Indonesia | Depok | Beji | 16421 | Jalan Kedung 1A | -6.3808536 | 106.8190415 | 81 | STREET | 50 |
Addresses File
| Country Code | Country | Region | City | Postal Code | Street | Number | Latitude | Longitude | Elevation (m) |
|---|---|---|---|---|---|---|---|---|---|
| ID | Indonesia | Pamekasan | Pamekasan | 69312 | Jalan Masjid Patemon Gang 3 | -7.1605856 | 113.4826366 | 15 | |
| ID | Indonesia | Kota Surabaya | Gubeng | 60284 | Jalan Barata Jaya 6 | -7.2987967 | 112.7577981 | 6 | |
| ID | Indonesia | Tangerang Selatan | Pondok Aren | 15229 | Jalan Elang 1 | -6.2816107 | 106.7058998 | 34 |
Sample data for preview purposes only.
Why This Dataset Is Useful
This dataset makes it easier to work with real Indonesian postal-code data in a structured format. Use it to standardize postal-code inputs, verify delivery addresses, improve form completion, and match customer records across systems by province, city, postal code, or street.
Teams building CRMs, delivery platforms, mapping tools, and reporting systems will find the dataset helpful for geocoding, routing, segmentation, and operational workflows that require accurate Indonesian postal-code information.
Data Structure
Depending on the selected file, the dataset may include the following fields:
- Country code
- Country name
- Province
- City
- Postal code
- Street
- Latitude
- Longitude
- Elevation
Formats and Delivery
Files are available in CSV, Excel, SQL, and XML format, depending on the selected product.
After purchase, your files are delivered in a downloadable archive and can be used immediately.
Updates and Purchase
This is a one-time purchase. The dataset is maintained regularly; for reference, the dataset was last updated on November 4, 2026. Additional updates may be available on request.