Coincident Index (Diffusion)

Data as of 30 Nov 2022, 23:59

The Diffusion Index is a complement to the Composite Index. It is used to assist in making a decision especially in determining turning point of economic cycle. The value of 100 for Diffusion Index implies that all components are increasing and the value of zero shows that all components are decreasing

How is this data produced?

Data for the compilation of Composite and Diffusion Indexes is obtained from the Department of Statistics Malaysia and the following agencies: (i) Ministry of Housing and Local Government (MHLG); (ii) Bank Negara Malaysia (BNM); (iii) Road Transport Department (RTD); (iv) Malaysian Investment Development Authority (MIDA); and (v) Employees Provident Fund (EPF).

What caveats I should bear in mind when using this data?

The economic indicators are unable to take into account internal or/and external shocks to the economy.


Dataset description

The Malaysian Economic Indicators presents current economic information with the purpose of monitoring the economic situation of the country on a monthly basis. It consists of Leading, Coincident and Lagging indicators for Composite and Diffusion Indexes.

Variable definitions
  • Coincident Index (Diffusion)
  • Date
  • Leading Index
  • Coincident Index
  • Lagging Index
  • Leading Index (Diffusion)
Last updated

20 Jan 2022, 12:00

Next update

23 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)