Key Takeaways
- US office vacancy rate reached 19.6% in Q4 2023, highest since 2010
- Global shopping center vacancy averaged 8.2% in 2023
- UK prime office rents in London fell 10% in 2023 to £130/sq ft
- Global real estate investment volume fell 28% to $810bn in 2023
- US REIT total returns averaged 8.2% in 2023
- APAC real estate funds raised $25bn in 2023, down 40%
- Global residential rental yields averaged 5.1% in 2023
- US multifamily asking rents up 2.8% YoY to $1,700 in Q4 2023
- UK private rental sector grew to 5 million households in 2023
- In 2023, the US median existing-home sales price reached $389,800, up 5.7% from 2022
- Globally, residential property prices rose by 5.6% in Q2 2023 year-over-year
- UK house prices increased by 1.7% in 2023, with average price at £285,000
- Global green building certifications reached 25,000 projects in 2023, covering 4.5bn sq ft
- US buildings accounted for 39% of carbon emissions in 2023
- Europe net-zero buildings investment hit €50bn in 2023
Office and investment stress dominates 2023 as vacancies rise and commercial deal volumes fall worldwide.
Commercial Market
Commercial Market Interpretation
Investment Trends
Investment Trends Interpretation
Rental and Leasing
Rental and Leasing Interpretation
Residential Market
Residential Market Interpretation
Sustainability and Innovation
Sustainability and Innovation Interpretation
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.
Kevin O'Brien. (2026, February 27). Property Industry Statistics. Gitnux. https://gitnux.org/property-industry-statistics
Kevin O'Brien. "Property Industry Statistics." Gitnux, 27 Feb 2026, https://gitnux.org/property-industry-statistics.
Kevin O'Brien. 2026. "Property Industry Statistics." Gitnux. https://gitnux.org/property-industry-statistics.
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