Monthly Employment by Status in Employment
Data as of Oct 2024Breakdown of employment into employers, employees, own-account workers and unpaid family workers.
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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, Oct 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
Breakdown of employment into employers, employees, own-account workers and unpaid family workers.
Variable definitions
- Variable
- Date
- Employed Persons
- Employers
- Employees
- Own-Account Workers
- Unpaid Family Workers
Name in Dataset | Variable | Definition |
|---|---|---|
variable (String) | Variable | Value type; thousands of people (persons) or share of employed persons (share) |
date (Date) | Date | The date in YYYY-MM-DD format, with DD set to 01 since the data is at monthly frequency |
employed (Float, '000) | Employed Persons | The number of people who worked at least one hour for pay, profit or family gain, in thousands of people |
employed_employer (Float, '000) | Employers | The number of employed persons people who operate a business, a plantation or other trade and employ one or more workers to help them |
employed_employee (Float, '000) | Employees | The number of employed persons who work for a public or private employer and receive regular remuneration in wages, salary, commission, tips or payment in kind |
employed_own_account (Float, '000) | Own-Account Workers | The number of employed persons who operate their own farm, business or trade without employing any paid workers in their operations |
employed_unpaid_family (Float, '000) | Unpaid Family Workers | The number of employed persons who work without pay or wages on a farm, business or trade operated by another member of their family |
Last updated:
09 Dec 2024, 12:00
Next update:
10 Jan 2025, 12:00
Data source(s)
- Department of Statistics Malaysia
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)
Recommended for data scientists seeking to work with data via code.
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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_month_status.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_month_status&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
Department of Statistics Malaysia
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