Real output of the three main industrial sectors for specific MSIC divisions (2 digit) which are critical for Malaysia's export performance. The table provides a preview of the full dataset using the latest month of data only.
0 views·0 downloads
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 is not provided for this dataset.
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 for specific MSIC divisions (2 digit) which are critical for Malaysia's export performance. 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 |
division (String) | Division | 2 or 3-digit code, to be matched using the 'division' and 'group' columns in the MSIC Lookup, except for the value 'overall' which is not present in the MSIC table, but which reflects the summary performance of export-oriented industrial output. Other than 'overall', 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 Sept 2024, 12:00
11 Oct 2024, 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.
0
Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
0
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_export.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.
© 2024 Public Sector Open Data