Enrolment in Government Schools by District
Data as of 2022Number of students enrolled in primary, secondary, and post-secondary government schools at national, state, and district level.
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How is this data produced?
This dataset is tabulated from individual-level administrative records maintained by the Ministry of Education Malaysia via the Education Management Information System (EMIS).
What caveats I should bear in mind when using this data?
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Publication(s) using this data
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Metadata
Dataset description
Number of students enrolled in primary, secondary, and post-secondary government schools at national, state, and district level.
Variable definitions
- Date
- State
- District
- School Stage
- Sex
- Number of Students
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | 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 for national-level data |
district (Categorical) | District | One of the administrative districts, or 'All Districts' for state-level data |
stage (Categorical) | School Stage | Either primary (Standards 1 to 6), secondary (Form 1 to 5), or post-secondary education (Form 6) |
sex (Categorical) | Sex | Either both sexes, male, or female |
students (Integer) | Number of Students | Number of students enrolled |
Last updated:
01 Sept 2024, 12:00
Next update:
N/A
Data source(s)
- Ministry of Education
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)
Recommended for individuals seeking an Excel-friendly format.
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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.data.gov.my/education/enrolment_school_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=enrolment_school_district&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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