Number of Households and Living Quarters

Data as of 2024

Number of households and living quarters in Malaysia from 1970 to 2024.

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Table

Number of Households

Number of Living Quarters

How is this data produced?

Values for 1970, 1980, 1991, 2000, 2010 and 2020 are based on adjusted data from the Population Censuses conducted in those years. Values for all other years are intercensal mid-year population estimates. 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

Number of households and living quarters in Malaysia from 1970 to 2024.

Variable definitions
  • Date
  • Number of Households
  • Number of Living Quarters
Last updated:

31 Jul 2024, 12:00

Next update:

31 Jul 2025, 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/demography/hh_lq.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_profile&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)