School Completion Rates by District

Data as of 2025

Proportion of students who complete primary, lower secondary, and upper secondary education at state and district level.

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Table

School Completion Rates

How is this data produced?

This dataset is derived from administrative records maintained by the Ministry of Education Malaysia via the Education Management Information System (EMIS). Completion rates are calculated by comparing the number of students who complete a given education level with the total cohort that started that level. Districts are those of the District Education Offices (Pejabat Pendidikan Daerah).

What caveats I should bear in mind when using this data?

Because Malaysia's dropout rates are extremely low, completion rates may exceed 100% due to a small number of students repeating grades or transferring between districts; in small districts, such movements can push the rate well above 100%. The data refers to government schools only. State-level figures in this dataset are compiled on the same basis as the district figures, and may differ from those in the dataset of completion rates by state. Rates are blank where unavailable, such as for districts before they had their own District Education Office.

Metadata

Dataset description

Proportion of students who complete primary, lower secondary, and upper secondary education at state and district level.

Variable definitions
  • Date
  • State
  • District
  • School Stage
  • Completion Rate
Last updated:

11 Oct 2026, 12:00

Next update:

31 Dec 2027, 18:00

Data source(s)
  • Ministry of Education
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)

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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/completion_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=completion_school_district&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)