Australia has built a $51 billion industry on the backs of international students. They fill lecture halls, pay full fees, and prop up export figures. But as their numbers hit record highs, something else hit record lows — the vacancy rate on Australian rental properties. This is the story of who benefits, who bears the cost, and what the data reveals that the headlines don’t.


Chart 1 of 5

The Boom, the Crash, and the Surge Back

International student enrolments in Australia climbed steadily for two decades, more than doubling between 2005 and 2019. Then COVID-19 shut the borders and numbers collapsed by nearly half in just two years. What followed was an unprecedented rebound — by 2024, enrolments had surged past pre-pandemic records, raising urgent questions about whether Australia’s cities and services can absorb the pace of growth.


Chart 2 of 5

Bigger Than Gold: Education as a National Export

International education is officially Australia’s fourth-largest export at $51.5 billion — behind only iron ore, coal, and natural gas, and worth more than gold. Yet economists increasingly challenge this figure. Around one third of the total reflects money that students earn working inside Australia, not dollars sent from overseas. Even so, the industry’s scale is undeniable — and its dependence on continued student inflows makes it vulnerable to the very pressures it creates.


Chart 3 of 5

A Shifting Mix: Where Australia’s Students Come From

The profile of Australia’s international student cohort has changed dramatically over 15 years. China remains the largest source country but its dominance has eased. India has surged strongly, particularly after the pandemic. Nepal and Vietnam have also grown substantially. This diversification matters — students from different countries tend to concentrate in different cities, sectors, and labour markets, each creating distinct economic and social footprints.


Chart 4 of 5

As Students Surge, Renters Pay the Price

The post-COVID surge in international students coincided with a historic collapse in rental vacancy rates across Australia. At their peak in early 2024, vacancy rates in Sydney and Melbourne dropped below 1% — meaning fewer than one in a hundred rental properties was available. While students are not the sole cause of the rental crisis, their rapid concentration in major cities has added measurable pressure to an already strained market, driving up rents and squeezing out lower-income residents.


Chart 5 of 5

Not All Students, Not All Sectors: Where the Pressure Falls

The student boom has not affected all education sectors equally. Higher Education recovered steadily after COVID, while VET enrolments have surged 54% above 2019 levels by 2025. ELICOS — English language courses — spiked sharply in 2023–24 as new arrivals flooded in, then collapsed as visa policy tightened. This uneven pattern matters: VET and ELICOS students are typically newer arrivals concentrated in inner-city suburbs, creating intense localised pressure on housing, transport, and community services.


References

Department of Education, Australian Government. (2026). International student data: AEI pivot detailed latest (YTD February 2026) [Data set]. https://www.education.gov.au/international-education-data-and-research/international-student-monthly-summary-and-data-tables

Department of Education, Australian Government. (2026). International students studying in Australia 2005–2025 [Data set]. https://www.education.gov.au/international-education-data-and-research/international-students-studying-australia-between-2005-and-2024

Department of Foreign Affairs and Trade. (2024). Australia’s country economic fact sheet 2024. Australian Government. https://www.dfat.gov.au/sites/default/files/aust-cef.pdf

SQM Research. (2025). Residential vacancy rates — national monthly series [Data set]. https://sqmresearch.com.au/graph_vacancy.php

Acknowledgements

This assignment was independently completed by the author. Claude (Anthropic, 2025), a generative AI tool, was used to assist with identifying relevant datasets and structuring the R Markdown file. All data visualisations were created by the author in R using the plotly and dplyr packages. All data values were sourced and verified from the cited open government publications.

Anthropic. (2025). Claude (claude-sonnet-4-6) [Large language model]. https://www.anthropic.com