This dataset tabulates household-level income, expenditure, poverty, and income inequality at state level. It is based on the Household Income & Expenditure Surveys (HIES) carried in 2022.
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This data is is based on Household Income Surveys (HIS) and Household Income & Expenditure Surveys (HIES) carried out from 1970 to 2022, the latest of which is HIES 2022. The survey is carried out at least twice in a rolling five-year period to produce representative data regarding income, poverty and access to basic amenities for Malaysian households.
For a full account of the relative standard errors for the survey as well as the detailed survey methodology, please refer to the HIES Technical Notes.
This dataset tabulates household-level income, expenditure, poverty, and income inequality at state level. It is based on the Household Income & Expenditure Surveys (HIES) carried in 2022.
Name in Dataset | Variable | Definition |
---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with MM-DD set to 01-01 as this is annual data |
state (Categorical) | State | One of 16 states |
income_mean (Integer) | Mean Income | Average (across households) gross monthly household income, in RM |
income_median (Integer) | Median Income | Median (across households) gross monthly household income, in RM |
expenditure_mean (Integer) | Mean Expenditure | Average (across households) gross monthly household expenditure, in RM |
gini (Float) | Gini Coefficient | Gini coefficient, with higher values indicating greater inequality of income between households |
poverty (Float) | Poverty Rate | Proportion of households with monthly income below the Poverty Line Income (PLI) |
28 Jul 2023, 12:00
N/A
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.
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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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/hies/hies_state.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)
import requests
import pprint
url = "https://api.data.gov.my/data-catalogue?id=hies_state&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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