Leading Index

Data as of 30 Jun 2023, 23:59

The Leading Index measures anticipations of the overall economic activity in the months ahead. The index tells us where the economy is going.

0 views·0 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: (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.

Publication(s) using this data

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.

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

25 Aug 2023, 12:00

Next update

25 Sept 2023, 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.

Download

Chart
Image (PNG)

Image (PNG)

Suitable for general digital use.

0

Vector Graphic (SVG)

Vector Graphic (SVG)

Suitable for high quality prints or further image editing.

0

Data
Full Dataset (CSV)

Full Dataset (CSV)

Recommended for individuals seeking an Excel-friendly format.

0

Full Dataset (Parquet)

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/econindicators/economic_indicators.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
Government of Malaysia

© 2023 Public Sector Open Data