Malaysian Economic Indicators
Data as of Jul 2024Indices for the purpose of monitoring Malaysia's economic situation on a monthly basis, consisting of leading, lagging, and coincidence indicators.
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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:
- 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, Jul 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:
24 Sept 2024, 12:00
Next update:
25 Oct 2024, 12:00
Data source(s)
- Department of Statistics Malaysia
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.
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Data
Full Dataset (CSV)
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Full Dataset (Parquet)
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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)
Department of Statistics Malaysia
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