Manufacturing (sa)

Data as of 30 Jun 2023, 23:59

Index, with base 2015 = 100

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How is this data produced?

The Industrial Production Index (IPI) in Malaysia measures the rate of change in production of industrial commodities in the Mining, Manufacturing, and Electricity sectors in real terms over time.

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

The IPI is a base year-weighted arithmetic average of quantity relatives calculated using the Laspeyres formula, with the base year of 1968 (1968=100) being the first year of its construction. The IPI pertains to Malaysia, with the exception of the base years 1968 and 1981, which pertain to Peninsular Malaysia. Data for December 2022 is provisional; it will be updated and subsequently published in the January 2023 publication.

Publication(s) using this data

Index of Industrial Production, June 2023, the latest edition of the monthly industrial production statistics published by DOSM. OpenDOSM also features a dashboard on industrial production.


Dataset description

The Industrial Production Index (IPI) publication is a monthly publication which covers three main sectors namely Mining, Manufacturing and Electricity which in line with the industrial definition in the International Recommendations for the Index of Industrial Production (IRIIP), 2010.

Variable definitions
Last updated:

08 Aug 2023, 12:00

Next update

11 Sept 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.


Image (PNG)

Image (PNG)

Suitable for general digital use.


Vector Graphic (SVG)

Vector Graphic (SVG)

Suitable for high quality prints or further image editing.


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 = '' 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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