IPI by Section (1 digit)
Data as of Sept 2024Real output of the three main industrial sectors by MSIC section (1 digit).
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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.
Metadata
Dataset description
Real output of the three main industrial sectors by MSIC section (1 digit).
Variable definitions
- Series Type
- Date
- Section
- Index
- Index (sa)
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 |
section (String) | Section | 1-letter code, to be matched using the 'section' 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 |
index_sa (Float) | Index (sa) | Quantity of output expressed as a seasonally adjusted index with base 2015 = 100 |
Last updated:
08 Nov 2024, 12:00
Next update:
10 Dec 2024, 12:00
Data source(s)
- Department of Statistics Malaysia
URLs to dataset
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
Full Dataset (CSV)
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Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
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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_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)
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