Data as of 31 Aug 2023, 23:59

Index with base 2010 = 100, showing the CPI value for Perak by category of consumption.

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How is this data produced?

The index is compiled based on the average price change for goods and services collected according to price collection centers in the state.

What caveats I should bear in mind when using this data?

This index is compiled based on Classification of Individual Consumption According to Purpose (COICOP).

Publication(s) using this data

Consumer Price Index, Aug 2023, the latest edition of the monthly consumer price statistics published by DOSM. OpenDOSM also features a dashboard on consumer prices.


Dataset description

Malaysia's Consumer Price Index (CPI) is a monthly publication which presents statistics covering 12 main groups of goods and services. This is consistent with the classification according to the United Nations "Classification of Individual Consumption According to Purpose (COICOP)".

Variable definitions
  • Date
  • Category
  • Johor
  • Kedah
  • Kelantan
  • Melaka
  • Negeri Sembilan
  • Pahang
  • Perlis
  • Pulau Pinang
  • Sabah
  • Sarawak
  • Selangor
  • Terengganu
  • W.P. Kuala Lumpur
  • W.P. Labuan
  • W.P. Putrajaya
  • Perak
Last updated:

22 Sept 2023, 12:00

Next update

20 Oct 2023, 12:00

Data source(s)
  • DOSM

This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A human-readable copy of the license is available Here.


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Full Dataset (CSV)

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Full Dataset (Parquet)

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Recommended for data scientists seeking to work with data via code.



Connect directly to the data with Python.

# If not already installed, do: pip install pandas fastparquet import pandas as pd URL_DATA = '' df = pd.read_parquet(URL_DATA) if 'date' in df.columns: df['date'] = pd.to_datetime(df['date']) print(df)

Sample OpenAPI query

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 = "" response_json = requests.get(url=url).json() pprint.pprint(response_json)
jata negara
Government of Malaysia

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