Malaysian Economic Indicators
Data as of Feb 2024Indices for the purpose of monitoring Malaysia's economic situation on a monthly basis, consisting of leading, lagging, and coincidence indicators.
0 viewsยท0 downloads
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:
- Ministry of Housing and Local Government (MHLG)
- Bank Negara Malaysia (BNM)
- Road Transport Department (RTD)
- Malaysian Investment Development Authority (MIDA)
- 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, Feb 2024, 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)
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format |
leading (Float) | Leading Index | The Leading Index measures anticipations of the overall economic activity in the months ahead. The index tells us where the economy is going. |
coincident (Float) | Coincident Index | The Coincident Index is a comprehensive measure of the overall current economic performance. |
lagging (Float) | Lagging Index | The Lagging Index is to validate the signal of the Leading and Coincident Indexes |
leading_diffusion (Float) | Leading Index (Diffusion) | 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. |
coincident_diffusion (Float) | Coincident Index (Diffusion) | 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 |
Last updated:
25 Apr 2024, 12:00
Next update:
24 May 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 copy of the license is available Here.
Download
Data
Full Dataset (CSV)
Recommended for individuals seeking an Excel-friendly format.
0
Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
0
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
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)
Department of Statistics Malaysia
ยฉ 2024 Public Sector Open Data
Open Data
data.gov.my