This dataset contains a list of postcodes in Malaysia, associated with their respective cities and states. Postcodes are a series of numbers (or letters) added to a mailing address to facilitate the sorting and delivery of mail by postal and courier services. Each postcode is assigned to a specific zone, area, or district, helping to ensure efficient mail delivery.
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The dataset is compiled annually and includes all recognized postcodes across Malaysia. The data is aggregated from official postal service records to ensure accuracy and comprehensiveness. It is structured to allow easy mapping of postcodes to their respective cities and states.
This dataset is updated on a yearly basis, and changes in postal codes or administrative boundaries may not be immediately reflected. Users should verify the current validity of postcodes for critical applications.
This dataset contains a list of postcodes in Malaysia, associated with their respective cities and states. Postcodes are a series of numbers (or letters) added to a mailing address to facilitate the sorting and delivery of mail by postal and courier services. Each postcode is assigned to a specific zone, area, or district, helping to ensure efficient mail delivery.
Name in Dataset | Variable | Definition |
|---|---|---|
state | State | The state in which the city or town is located. |
city | City | The city or town associated with the postcode. |
postcode | Postcode | The postcode associated with a specific area or district in Malaysia. |
16 Jun 2026, 12:00
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This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.
Full Dataset (CSV)
Recommended for individuals seeking an Excel-friendly format.
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Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
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Connect directly to the data with Python.
# If not already installed, do: pip install pandas fastparquet
import pandas as pd
URL_DATA = 'https://storage.data.gov.my/dictionaries/postcodes.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API Documentation.
import requests
import pprint
url = "https://api.data.gov.my/data-catalogue?id=poskod&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)© 2026 Public Sector Open Data