The Lagging Index is to validate the signal of the Leading and Coincident Indexes
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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).
The economic indicators are unable to take into account internal or/and external shocks to the economy.
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.
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.
25 Aug 2023, 12:00
25 Sept 2023, 12:00
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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Vector Graphic (SVG)
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Full Dataset (CSV)
Recommended for individuals seeking an Excel-friendly format.
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Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
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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/econindicators/economic_indicators.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)
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)
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