Industrial Production Index (IPI)

Data as of Aug 2024

Real output of the three main industrial sectors, namely mining, manufacturing and electricity.

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Table

Index

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?

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.

Metadata

Dataset description

Real output of the three main industrial sectors, namely mining, manufacturing and electricity.

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

11 Oct 2024, 12:00

Next update:

08 Nov 2024, 12:00

Data source(s)
  • Department of Statistics Malaysia
License

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.

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Data
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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.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&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)