Campus Housing Data
Occupancy rates, room assignments, maintenance requests, and roommate satisfaction across dorms -- the data that housing AI uses to optimize assignments and predict demand.
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Find Me This Data →Overview
What Is Campus Housing Data?
Campus housing data encompasses occupancy rates, room assignments, maintenance requests, and roommate satisfaction metrics across university dormitories. This data is essential for housing administrators and AI-driven platforms that optimize student assignments, predict occupancy demand, and improve residential life experiences. The U.S. student housing market represents a significant operational sector, with national occupancy reaching 95.1% across major university systems as of September 2025, reflecting strong demand and the critical importance of data-driven management in this space. Housing data enables institutions to understand enrollment trends, predict future demand, and strategically manage residential capacity across their campuses.
Market Data
95.1%
National Occupancy Rate (Yardi 200 Schools)
Source: Multi-Housing News
19.4 million students
Total U.S. College Enrollment (Fall 2025)
Source: Capright
1.0%
YoY College Enrollment Growth
Source: Capright
$915
Average Student Housing Rent per Bed
Source: Capright
52.3%
Pre-leasing for 2026-2027 Academic Year
Source: Capright
Who Uses This Data
What AI models do with it.do with it.
University Housing Operations
Campus housing administrators use occupancy and room assignment data to optimize dormitory management, predict enrollment-driven demand, and allocate residential resources efficiently across multiple properties.
AI-Driven Housing Platforms
Platforms leveraging machine learning use historical occupancy, roommate satisfaction, and maintenance request patterns to improve student matching algorithms and predictively forecast future housing demand.
Student Housing Investors and Operators
Institutional investors and property operators analyze market occupancy trends, rent growth patterns, and enrollment data to inform acquisition, development, and portfolio management decisions.
Campus Planning and Infrastructure
University facilities teams use maintenance request data and occupancy analytics to anticipate infrastructure needs, schedule repairs, and plan new residence hall capacity.
What Can You Earn?
What it's worth.worth.
Occupancy & Demand Datasets
Varies
Historical and real-time occupancy data, pre-leasing metrics, and enrollment forecasts are monetized through institutional licensing and API access.
Roommate Compatibility Data
Varies
Aggregated satisfaction surveys and roommate matching outcomes are valued by housing platforms optimizing assignment algorithms.
Maintenance & Operations Data
Varies
Maintenance request logs, response times, and resolution patterns support predictive maintenance and facilities optimization services.
What Buyers Expect
What makes it valuable.valuable.
Accurate Enrollment Tracking
Data must reflect real enrollment figures tied to actual campus populations, differentiated by institution type (public vs. private) and enrollment trends.
Real-Time or Near-Real-Time Occupancy Metrics
Buyers require current occupancy rates, bed turnover, pre-leasing activity, and vacancy forecasts to support operational planning and demand prediction.
Granular Room Assignment Records
Data should include room type assignments (single, double, suite), configurations, and occupancy patterns to train matching and optimization algorithms.
Maintenance and Service Request Data
Comprehensive logs of maintenance requests, resolution times, and facility condition metrics enable predictive maintenance modeling and operational efficiency analysis.
Student Satisfaction and Feedback
Roommate compatibility scores, survey responses, and outcome data from housing assignments demonstrate the effectiveness of allocation strategies.
Companies Active Here
Who's buying.buying.
Operates the largest tracked database (Yardi 200) monitoring national occupancy, rent trends, and pre-leasing activity across major universities. Provides market intelligence and benchmarking for housing operators and investors.
Platform enabling schools to gather off-campus housing data in real-time and providing investment stakeholders with insights on student housing market opportunities.
Campus administrators and planning offices purchase data analytics services to optimize occupancy forecasting, room assignments, and resource allocation.
FAQ
Common questions.questions.
Why has student housing occupancy remained so strong?
National occupancy reached 95.1% in 2025, driven by consistent enrollment growth (19.4 million students, up 1.0% YoY), strategic rent moderation by operators, and renewed demand in mid-tier university markets. Public four-year universities showed particular strength with 1.2% enrollment growth.
How is rent growth changing in the student housing market?
Rent growth has slowed significantly to 0.8% YoY as of September 2025—the slowest increase since tracking began in 2017. Average rents stood at $905 per bed, with operators using moderate pricing strategies to maintain occupancy amid increased competition.
What data points matter most for predicting housing demand?
Key indicators include enrollment trends by institution type, pre-leasing activity (52.3% for 2026-2027), occupancy rates by market, new supply coming online (30,000 beds expected in Fall 2026), and campus-specific factors like university reputation and local market conditions.
Which universities have the highest occupancy?
As of 2025, 49 schools in the Yardi 200 reported 99% or higher occupancy, including Virginia Tech, University of Missouri, Louisiana State University, and University of Wisconsin. University of Cincinnati, Washington State University, and Syracuse University also posted strong recoveries with occupancy increases exceeding 5% YoY.
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