Population Table: Administrative Districts

Data as of 2024

Population at district level from 2020 to 2024, by sex, age group and ethnicity. 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?

Values for 2020 are based on adjusted data from the Population Censuses 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

Metadata

Dataset description

Population at district level from 2020 to 2024, by sex, age group and ethnicity. The preview table shows data for the latest year only, but you may download the data in full.

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

31 Aug 2024, 12:00

Next update:

31 Aug 2025, 12:00

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
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/population/population_district.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=population_district&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)