Coming soon
Listed below are publications scheduled for public release on the date displayed.
This research shows that pre-apprenticeships are effective in increasing the probability of apprenti… Show more
Apprentices and trainees 2024 — December quarter provides a national picture of apprentice and train… Show more
This research uniquely amplifies the voices of First Nations and migrant learners who have disengage… Show more
This research found that students who undertake foundation skills training alongside other VET progr… Show more
Looking ahead
Listed below are publications being prepared for public release in the next 1 to 2 months.
Data release dates 2025
Listed below is a planned release schedule of our statistical products. Actual release date will display when confirmed.
Release date | Title |
---|---|
25 February | Government-funded students and courses: January to September 2024 |
24 March | Apprentice and trainee outcomes 2024 |
25 March | Apprentices and trainees: September quarter 2024 |
19 June | Apprentices and trainees: December quarter 2024 |
TBC* | Government-funded students and courses 2024 Historical time-series of government-funded VET from 1981 to 2024 |
TBC* | Total VET students and courses 2024 |
TBC* | Government-funded students and courses: January to March 2025 |
TBC* | VET in Schools 2024 |
September | Apprentices and trainees: March quarter 2025 |
October | VET qualification completion rates 2024 |
November | Employer use and views of the VET system 2025 |
November | Government funding of VET 2024 |
December | Completion and attrition rates for apprentices and trainees 2024 |
December | Government-funded students and courses: January to June 2025 |
December | VET student outcomes 2025 |
December | Apprentices and trainees: June quarter 2025 Historical time-series of apprenticeships and traineeships in Australia from 1963 to 2025 |
*These products will be delayed due to data quality issues identified in submissions to Ïã¸ÛÁùºÏ²Ê¿ª½±¼Ç¼. Ïã¸ÛÁùºÏ²Ê¿ª½±¼Ç¼ is currently investigating the underlying causes and working with the relevant jurisdictions to ensure the integrity and accuracy of the dataset before publication.
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