Household Income and Expenditure: States

Data as of 2022

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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Table

Mean Income (RM)

Median Income (RM)

Mean Expenditure (RM)

Gini Coefficient

Poverty Rate (%)

How is this data produced?

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.

What caveats I should bear in mind when using this data?

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.

Publication(s) using this data

Metadata

Dataset description

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.

Variable definitions
  • Date
  • State
  • Mean Income
  • Median Income
  • Mean Expenditure
  • Gini Coefficient
  • Poverty Rate
Last updated:

28 Jul 2023, 12:00

Next update:

N/A

Data source(s)
  • DOSM
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)

Full Dataset (CSV)

Recommended for individuals seeking an Excel-friendly format.

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Full Dataset (Parquet)

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/hies/hies_state.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=hies_state&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)