OpenDOSM
Leading Index
Data as of 30 Nov 2022, 23:59The Leading Index measures anticipations of the overall economic activity in the months ahead. The index tells us where the economy is going.
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 Leading Index is unable to measure or predict the magnitude of any changes of economic activity. The index shows the direction of the economy in advance. The economic indicators are unable to take into account the internal or/and external shock to the economy.
Metadata
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
- Leading Index
- Date
- Coincident Index
- Lagging Index
- Leading Index (Diffusion)
- Coincident Index (Diffusion)
Last updated
20 Jan 2022, 12:00
Next update
23 Feb 2023, 12:00
Data source(s)
- DOSM
URLs to dataset
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.
Download
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.googleapis.com/dosm-public-economy/economic-indicators.parquet'
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)