Lagging Index

Data as of 30 Jun 2023, 23:59

The Lagging Index is to validate the signal of the Leading and Coincident Indexes

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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.

Publication(s) using this data

Malaysian Economic Indicators, June 2023, the latest edition of the leading, coincident, and lagging composite indices published monthly by DOSM. OpenDOSM also features a dashboard on these composite indices.


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
  • Date
  • Leading Index
  • Coincident Index
  • Leading Index (Diffusion)
  • Coincident Index (Diffusion)
  • Lagging Index
Last updated:

25 Aug 2023, 12:00

Next update

25 Sept 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.


Image (PNG)

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Suitable for general digital use.


Vector Graphic (SVG)

Vector Graphic (SVG)

Suitable for high quality prints or further image editing.


Full Dataset (CSV)

Full Dataset (CSV)

Recommended for individuals seeking an Excel-friendly format.


Full Dataset (Parquet)

Full Dataset (Parquet)

Recommended for data scientists seeking to work with data via code.



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)

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 = "" response_json = requests.get(url=url).json() pprint.pprint(response_json)
jata negara
Government of Malaysia

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