ACARA reports NAPLAN national results for each year level tested (Years 3, 5, 7 and 9) and domain for Australia as a whole, by state/territory as well as by:
- language background other than English status
- parental occupation
- parental education
We use the data to see how students have progressed in literacy and numeracy across the years of schooling.
The interactive displays below show NAPLAN student achievement as:
- average NAPLAN scores
- percentages of students achieving within the 4 proficiency levels for each domain and year level.
From 2023, we report student achievement in NAPLAN against 4 levels of proficiency.
This replaces the previous numerical NAPLAN bands and national minimum standards.
View NAPLAN results prior to 2023.
Time series reset
From 2023 we have reset the NAPAN measurement scale and time series. This means you can't compare NAPLAN achievement prior to 2022 to that from 2023 onwards.
From 2024 you will be able to see NAPLAN results as a time series and compare to previous years.
Comparison of results
Pairwise comparisons of average NAPLAN scores are made between states/territories on the state comparison page, and between subgroups on the subgroup comparison page.
All reported comparisons are tested for statistical significance. Tests for statistical significance ensure that reported differences are not merely caused by chance but reflect real differences. These tests, however, do not describe the size of the difference. Therefore, a representation of the nature of the difference is provided.
Nature of the difference
The nature of the difference is an effect size measure. It helps interpreting the results by comparing the magnitude of a significant difference with an effect size criterion, resulting in a label for the size of the difference.
The nature of the difference is reported as follows for comparisons between states/territories and between subgroups:
- substantially above/below refers to a difference that is statistically significant and large in size
- above/below refers to a difference that is statistically significant and small in size
- close to refers to a difference that is either not statistically significant or negligible in size
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