Real output of the three main industrial sectors by MSIC group (3 digit). The table provides a preview of the full dataset using the latest month of data only.
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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:
For a full description of the methodology, please refer to the Technical Notes.
Seasonally adjusted data (for all groups) and data for groups in the electricity section (D, 351 to 353) is not provided at 3 digit granularity. Furthermore:
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.
Real output of the three main industrial sectors by MSIC group (3 digit). The table provides a preview of the full dataset using the latest month of data only.
Name in Dataset | Variable | Definition |
---|---|---|
series (String) | Series Type | Series type, either absolute values ('abs'), year-on-year growth ('growth_yoy') or month-on-month growth ('growth_mom') |
date (Date) | Date | The date in YYYY-MM-DD format, with DD set to 01 as the data is at monthly frequency |
group (String) | Group | 3-digit code, to be matched using the 'group' column in the MSIC Lookup. The MSIC lookup table will give you the English and Malay definitions. |
index (Float) | Index | Quantity of output expressed as an index with base 2015 = 100 |
10 Dec 2024, 12:00
10 Jan 2025, 12:00
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.dosm.gov.my/ipi/ipi_3d.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)
This data catalog is not available through OpenAPI as the nature of the data makes it unsuitable for API access. For the full dataset, please use the provided download link as shown in the above section.
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