Unemployed > Youths (15-24)
Data as of 31 Jul 2023, 23:59Thousands of people ('000 people)
0 views·0 downloads
How is this data produced?
The Labour Force Survey (LFS) provides statistics on the labour force, employment and unemployment at national and state level, as well as across urban and rural areas. Data from this survey is published on a monthly, quarterly and annual basis. A comprehensive and systematic approach in data collection and processing has been maintained over a period of time in order to obtain comparable time series statistics.
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
Labour Force Report, June 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
The monthly Labour Force Report presents the statistics of labour force, employment and unemployment obtained from the Labour Force Survey (LFS).
Variable definitions
- Date
- Labour Force Size
- Employed Persons
- Unemployed Persons
- Persons Outside Labour Force
- Unemployment Rate
- Participation Rate
- Employment-Population Ratio
- Labour Force Size (sa)
- Employed Persons (sa)
- Unemployed Persons (sa)
- Unemployment Rate (sa)
- Participation Rate (sa)
- Unemployment Rate > Youth (15-24)
- Unemployed > Youths (15-30)
- Unemployment Rate > Youth (15-30)
- Employed > Employers
- Employed > Employees
- Employed > Own-Account Workers
- Employed > Unpaid Family Workers
- Unemployed > Active (Total)
- Unemployed > Active (< 3mo)
- Unemployed > Active (3-6mo)
- Unemployed > Active (6-12mo)
- Unemployed > Active (> 1y)
- Unemployed > Inactive
- Unemployed > Youths (15-24)
Last updated:
08 Sept 2023, 12:00
Next update
10 Oct 2023, 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 human-readable copy of the license is available Here.
Download
Chart
Image (PNG)
Suitable for general digital use.
0
Vector Graphic (SVG)
Suitable for high quality prints or further image editing.
0
Data
Full Dataset (CSV)
Recommended for individuals seeking an Excel-friendly format.
0
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/labour/labourforce_monthly.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=labourforce_monthly&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
© 2023 Public Sector Open Data