Population Table: State Legislative Assemblies (DUNs)

Data as of 2022

Population at state legislative assembly (DUN) level from 2020 to 2022, with breakdowns by sex and nationality. The preview table shows data for the latest year only, but you may download the data in full.

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How is this data produced?

The 600 DUNs enumerated in this dataset are based on the most recent electoral boundaries per the redelineation exercises in 2015 (Sabah), 2017 (Sarawak) and 2018 (Peninsular Malaysia). Values for 2020 are based on adjusted data from the Population Census conducted in that year. Values for all other years are intercensal mid-year population estimates. The intercensal estimates were generated using the cohort-component method, which estimates the latest year's population by taking the previous year's value, then adding births, subtracting deaths, and adding net migration. For a deeper understanding of the methodology, please refer to the Technical Notes.

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

Values for breakdowns may be slightly different to totals when summed, due to rounding to one decimal place.

Publication(s) using this data

OpenDOSM's Kawasanku dashboard allows you to explore a wide range of indicators for any DUN, including its population.

Metadata

Dataset description

Population at state legislative assembly (DUN) level from 2020 to 2022, with breakdowns by sex and nationality. The preview table shows data for the latest year only, but you may download the data in full.

Variable definitions
  • Date
  • State
  • Parliament
  • DUN
  • Sex
  • Age Group
  • Ethnicity
  • Population ('000)
Last updated:

23 May 2023, 12:00

Next update:

24 Jun 2024, 12:00

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)

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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/population/population_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

This data catalog is not available through OpenAPI as the nature of the data makes it unsuitable for API access. For the full dataset, please use the provided download link as shown in the above section.