IPI: Manufacturing (Petroleum, Chemical, Rubber and Plastic Products)

Data as of 30 Nov 2022, 23:59

Index, with base 2015 = 100

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.


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
  • IPI: Manufacturing (Petroleum, Chemical, Rubber and Plastic Products)
  • Date
  • IPI (Industrial Production Index)
  • IPI: Mining
  • IPI: Manufacturing
  • IPI: Electricity
  • IPI: Manufacturing (Food, Beverages and Tobacco)
  • IPI: Manufacturing (Textiles, Wearing Apparel, Leather Products and Footwear)
  • IPI: Manufacturing (Wood Products, Furniture, Paper Products, Printing)
  • IPI: Manufacturing (Non-metallic Mineral Products, Basic Metal and Fabricated Metal Products)
  • IPI: Manufacturing (Electrical and Electronics Products)
  • IPI: Manufacturing (Transport Equipment and Other Manufactures)
  • IPI (sa)
  • IPI: Mining (sa)
  • IPI: Manufacturing (sa)
  • IPI: Electricity (sa)
Last updated

11 Jan 2023, 12:00

Next update

07 Feb 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.



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)

Department of Statistics Malaysia

© 2023 Department of Statistics Malaysia (DOSM)