Poverty by DUN

Data as of 2024

Poverty rates by DUN constituency from 2019 to 2024.

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How is this data produced?

In general, poverty is defined as having household income below a specific benchmark. Accordingly, statistics on poverty in Malaysia are produced and published together with statistics on household income derived from the Household Income and Expenditure Survey (HIES), which is conducted at least twice within any 5-year period. This dataset presents 2 definitions of poverty:

  1. Absolute Poverty: A household is considered to be in absolute poverty if their gross monthly household income is below the Poverty Line Income (PLI). This indicates that the household does not earn sufficient income to meet basic needs for a dignified life.
  2. Relative Poverty: A household is considered to be in relative poverty if their gross monthly household income is below half the national median income. This measure is used to assess relative deprivation within the district, especially as absolute and hardcore poverty rates approach 0, as is the case for Malaysia.

For full details on the methodology, especially the computation of the PLI and its evolution and nuances, please refer to the technical notes.

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

Data on hardcore poverty is not available at DUN constituency level. Furthermore, DUN-level data is only published from 2019 (relative to state-level data which is available from 1970) as prior HIES samples were not sufficient to support DUN-level granularity.

Metadata

Dataset description

Poverty rates by DUN constituency from 2019 to 2024.

Variable definitions
  • State
  • Parliamentary Constituency
  • DUN Constituency
  • Date
  • Absolute Poverty Rate
Last updated:

31 Dec 2025, 12:00

Next update:

N/A

Data source(s)
  • Department of Statistics Malaysia
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
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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/hh_poverty_dun.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=hh_poverty_dun&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)
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Department of Statistics Malaysia

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