Number of Households and Living Quarters by State
Data as of 2024Number of households and living quarters by state from 1970 to 2024.
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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
OpenDOSM features a dashboard on the population of Malaysia.
Metadata
Dataset description
Number of households and living quarters by state from 1970 to 2024.
Variable definitions
- Date
- State
- Number of Households
- Number of Living Quarters
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with MM-DD set to 01-01 as the data is at annual frequency |
state (Categorical) | State | One of 16 states, including the 3 Federal Territories |
households (Numeric) | Number of Households | The total number of households for the given year and state |
living_quarters (Numeric) | Number of Living Quarters | The total number of living quarters for the given year and state; note that this also includes empty dwellings. |
Last updated:
31 Jul 2024, 12:00
Next update:
31 Jul 2025, 12:00
Data source(s)
- Department of Statistics Malaysia
URLs to dataset
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)
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Full Dataset (Parquet)
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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_state.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_state&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
Department of Statistics Malaysia
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