Key Takeaways
- 4.8% year-over-year increase in purpose-built student accommodation (PBSA) rents in the UK in 2022–23
- $9.7 billion total capital invested in student housing globally in 2023, showing continued institutional allocation to the sector
- $4.1 billion invested in US student housing in 2023, representing a rebound after prior-year uncertainty
- 10.2% of all US college students were enrolled in at least 1 online course in 2022, reducing some on-campus housing demand relative to fully in-person enrollment
- 23% of students reported that they expect rent to increase in the next academic year (2024–25), shaping affordability concerns for leasing decisions
- 9.0% of students in the US were enrolled in graduate school in 2022, influencing the share of demand for off-campus and PBSA-like formats
- 68% of students responding to a 2021 global survey said they prefer purpose-built student accommodation over private rentals
- 63% of student housing properties in a 2023 survey offered keyless entry solutions to residents
- 84% of students say proximity to campus is a primary factor when choosing accommodation (survey of UK and EU students)
- 35% increase in construction costs for student accommodation projects in the UK since 2020, affecting development feasibility and timing
- 3.2% average annual growth in operating expenses for student housing properties in the US in 2023 (benchmarking data)
- 2.0% year-over-year decline in common area maintenance costs in a 2022–2023 cohort of managed student housing (operational efficiencies)
- 1.3% of student housing revenue loss attributable to bad debt reported in a 2023 multifamily credit performance benchmark (applied to student housing segment)
- 0.7% increase in same-store NOI for stabilized student housing properties in the UK in 2023 (sector benchmark)
- UK PBSA vacancy rates were 8% or lower in 2023, consistent with high utilization and limited slack in well-located schemes
UK and global student housing demand stays strong, but rising rents and costs are tightening affordability.
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How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Julian Richter. (2026, February 13). Student Housing Statistics. Gitnux. https://gitnux.org/student-housing-statistics
Julian Richter. "Student Housing Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/student-housing-statistics.
Julian Richter. 2026. "Student Housing Statistics." Gitnux. https://gitnux.org/student-housing-statistics.
References
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- 34rentcafe.com/blog/student-housing/trends-2024-off-campus-student-rent/







