Quarterly Time-Related Underemployment by Age
Data as of 4Q 2023Number 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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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, Dec 2023, 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
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with DD set to 01 since the data is at quarterly frequency |
variable (Categorical) | Variable | Rate (%) or persons ('000) |
age (Categorical) | Age Group | 10-year age groups, or overall |
tru (Float) | Time-Related Underemployment | Number or 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 |
Last updated:
09 Feb 2023, 12:00
Next update:
10 May 2024, 12:00
Data source(s)
- DOSM
URLs to dataset
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/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
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)
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