IPI by Section (1 digit)

Data as of Mar 2024

Real output of the three main industrial sectors by MSIC section (1 digit).

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Index (sa)

How is this data produced?

The Industrial Production Index (IPI) is designed to measure the production of industrial commodities in the mining, manufacturing, and electricity sectors in real terms (i.e. in terms of output, not sales value). The IPI is produced using the following data:

  • Monthly data on the production of crude oil and natural gas from PETRONAS.
  • Monthly production data for 245 selected industries in the manufacturing sector from the Monthly Manufacturing Survey, which covers establishments with significant sales.
  • Monthly data on the production of crude palm oil, refined palm kernel oil and palm kernel oil from the Malaysian Palm Oil Board (MPOB).
  • Monthly data on the generation of electricity from Tenaga Nasional Berhad (TNB), Sabah Electricity Sdn. Bhd. (SESB) and Sarawak Energy Berhad (SEB).

For a full description of the methodology, please refer to the Technical Notes.

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

Note that year-on-year growth is not provided for the seasonally adjusted series, which should only be used to compute month-on-month growth.

Publication(s) using this data

Index of Industrial Production, Mar 2024, the latest edition of the monthly industrial production statistics published by DOSM. OpenDOSM also features a dashboard on industrial production.


Dataset description

Real output of the three main industrial sectors by MSIC section (1 digit).

Variable definitions
  • Series Type
  • Date
  • Section
  • Index
  • Index (sa)
Last updated:

10 May 2024, 12:00

Next update:

10 Jun 2024, 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 copy of the license is available Here.


Full Dataset (CSV)

Full Dataset (CSV)

Recommended for individuals seeking an Excel-friendly format.


Full Dataset (Parquet)

Full Dataset (Parquet)

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 = 'https://storage.dosm.gov.my/ipi/ipi_1d.parquet' 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 = "https://api.data.gov.my/data-catalogue?id=ipi_1d&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)
jata negara

Department of Statistics Malaysia

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