Income Inequality

Data as of 2022

Gini coefficient for Malaysia from 1970 to 2022.

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Gini Coefficient

How is this data produced?

The primary Gini coefficient for Malaysia is computed based on the distribution of households' gross monthly income, where:

  • Gini coefficient values are bounded within 0 and 1, with higher values indicating greater income inequality.
  • A value of 0 indicates perfect equality (i.e. that every household has the same income).
  • A value of 1 indicates total inequality (i.e. that 1 household earns all the income while all others earn nothing).

Because the computation of the Gini coefficient relies on household income data, Malaysia's Gini coefficient statistics 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. 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?

Given that the data is produced from surveys spanning over half a century, the following methodological changes should be noted:

  • Data for 1970 and 1974 refers to Peninsular Malaysia only. 1976 was the first year in which Sabah and Sarawak were included in the survey.
  • Data from 1989 onwards refers to Malaysian citizens only. Although non-citizens are also included in the surveys, the official statistics (which form the basis for national welfare policy) are based on citizens only.

Publication(s) using this data

The Household Income Survey Report, 2022, the latest edition of the household income statistics published by DOSM. OpenDOSM also features a dashboard on household income which enables you to explore Malaysia's household income data interactively.

Metadata

Dataset description

Gini coefficient for Malaysia from 1970 to 2022.

Variable definitions
  • Date
  • Gini Coefficient
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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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_inequality.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_inequality&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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