Access to Sanitary Latrines by State
Data as of 2022Proportion of households in rural areas covered by sanitary latrines by state.
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How is this data produced?
This data shows the proportion of households in rural areas covered by sanitary latrines, and is tabulated from annual ground-level surveillance conducted by the Water Supply and Environmental Sanitation (BAKAS) unit at the Ministry of Health. The reason that the survey focuses on rural areas is for cost effectiveness, since data from the Department of Statistics' surveys on household access to basic amenities shows that urban access to improved sanitation has been stable at or near 100% throughout the country.
What caveats I should bear in mind when using this data?
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Metadata
Dataset description
Proportion of households in rural areas covered by sanitary latrines by state.
Variable definitions
- Date
- State
- Access (%)
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, or Malaysia |
proportion (Float) | Access (%) | Proportion of households with access to sanitary latrines, expressed as a percentage |
Last updated:
01 Sept 2024, 12:00
Next update:
N/A
Data source(s)
- Ministry of Health 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.data.gov.my/healthcare/sanitation_access.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=sanitation_access&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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