Malaysian Economic Indicators

Data as of Nov 2023

Indices for the purpose of monitoring Malaysia's economic situation on a monthly basis, consisting of leading, lagging, and coincidence indicators.

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Table

Leading Index

Coincident Index

Lagging Index

Diffusion (Leading)

Diffusion (Coincident)

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:

  1. Ministry of Housing and Local Government (MHLG)
  2. Bank Negara Malaysia (BNM)
  3. Road Transport Department (RTD)
  4. Malaysian Investment Development Authority (MIDA)
  5. 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, Nov 2023, the latest edition of the monthly economic indicators published by DOSM. OpenDOSM also features a dashboard on these indicators.

Metadata

Dataset description

Indices for the purpose of monitoring Malaysia's economic situation on a monthly basis, consisting of leading, lagging, and coincidence indicators.

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

24 Jan 2024, 12:00

Next update:

23 Feb 2024, 12:00

Data source(s)
  • DOSM
License

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.

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Data
Full Dataset (CSV)

Full Dataset (CSV)

Recommended for individuals seeking an Excel-friendly format.

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Full Dataset (Parquet)

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/mei/mei.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=economic_indicators&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)
jata negara

Department of Statistics Malaysia

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