Quarterly Time-Related Underemployment by Age

Data as of 2Q 2024

Number and proportion of working individuals who worked less than 30 hours per week even though they were willing to work more, i.e. due to unavailability of work.

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Table

Time-Related Underemployment

How is this data produced?

This data is produced based on the Labour Force Survey (LFS), which is designed to collect representative data on the labour force at national and state level. Consistency in methodology has been maintained to ensure that the data is comparable over time. Survey findings are a monthly, quarterly and annual basis. For a full description of the methodology, please refer to the Technical Notes.

What caveats I should bear in mind when using this data?

The sum of each category may not always equal to the totals shown in related tables because of independent rounding to one decimal place. However, the differences are not obvious.

Publication(s) using this data

The Labour Force Report, 2Q 2024, the latest edition of the monthly labour force statistics published by DOSM. OpenDOSM also features a dashboard on the labour force.

Metadata

Dataset description

Number and proportion of working individuals who worked less than 30 hours per week even though they were willing to work more, i.e. due to unavailability of work.

Variable definitions
  • Date
  • Variable
  • Age Group
  • Time-Related Underemployment
Last updated:

09 Aug 2024, 12:00

Next update:

08 Nov 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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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/labour/lfs_qtr_tru_age.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=lfs_qtr_tru_age&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)