Employment by MSIC Sector and Sex
Data as of 2022Annual distribution of employment by MSIC sector and sex.
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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 proportions may not sum to 100% due to rounding.
Publication(s) using this data
The Labour Force Report, providing detailed insights into employment trends.
Metadata
Dataset description
Annual distribution of employment by MSIC sector and sex.
Variable definitions
- Date
- Sector
- Sex
- Proportion (%)
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | The year of the data in YYYY format, with MM-DD set to 01-01 because the data is at annual frequency. |
sector (Kategori) | Sector | Sektor pekerjaan: pertanian (MSIC sections A and B), industri (C,D,E,F) atau perkhidmatan (G,H,I,J,K,L,M,N,O,P,Q). |
sex (Categorical) | Sex | The sex of the employed individuals: male, female, or both. |
proportion (Float) | Proportion (%) | The proportion of employment in the sector as a percentage. |
Last updated:
08 Nov 2024, 12:00
Next update:
01 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/employment_sector.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=employment_sector&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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