Click or search for a specific market to view its global rank and score. Find out about each country/territory’s strengths and weaknesses across six key categories: investment performance measurement, market fundamentals, governance of listed vehicles, regulatory & legal environment, transaction process and sustainability transparency.

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Through thirteen editions spanning 25 years, JLL and LaSalle’s Transparency Index has become established as the industry’s most widely used benchmark for assessing market transparency and is an essential guide for cross-border investors, lenders, developers and occupiers of real estate – as well as government and industry bodies looking for international benchmarks.

The 2024 Index covers a wide range of topics that determine how transparent a real estate market is, from investment performance benchmarks and market data to transaction processes and sustainability metrics. This latest edition includes 151 cities in 89 countries and territories, presenting a uniquely global picture of real estate transparency.

The advent of widespread generative AI (GenAI) capabilities has supercharged expectations for technology’s impact on real estate. Investment into AI is growing exponentially, and although many applications are at an exploratory stage it is already boosting transparency across the industry – helping to sift through and summarize huge volumes of legal documents, automating building management, powering interactive urban and architectural design, and enabling unprecedented levels of speed and granularity in valuations and analytics. JLL’s AI platform, for example, already helps to identify one in five capital markets opportunities globally. But extracting full value from AI will require considerable effort and investment in creating the right architecture and governance to capture standardized data that can be fed into models, something most companies – and governments – are still lacking. As these capabilities are built out, AI offers the potential for significant advances in productivity and transparency.