The World Cybercrime Index (WCI) is a global metric that maps the geography of cybercrime based on expert assessments of the most significant sources of five major types of cybercrime: Technical products/services, Attacks and extortion, Data/identity theft, Scams, and Cashing out/money laundering. The WCI was developed through an expert survey involving 92 participants from various countries, who were asked to nominate countries as significant sources of each type of cybercrime and rate them based on impact, professionalism, and technical skill of offenders. The results indicate that a small number of countries house the greatest cybercriminal threats. These findings help to identify cybercrime hotspots and may aid law enforcement and policymakers in combating cybercrime. The WCI provides a more accurate measure of cybercriminality than technical data alone, which often fails to capture the true geographical distribution of cybercriminals. The study also highlights the local dimension of cybercrime, showing that cybercrime is not uniformly distributed and that certain countries specialize in particular types of cybercrime. The WCI is a valuable tool for understanding the geography of cybercrime and for directing resources to areas of greatest concern. However, the study acknowledges limitations, including the potential for bias in the expert sample and the need for further research to validate the findings. The WCI contributes to theoretical debates on the local nature of cybercrime and offers insights into the factors that drive cybercrime in different regions.The World Cybercrime Index (WCI) is a global metric that maps the geography of cybercrime based on expert assessments of the most significant sources of five major types of cybercrime: Technical products/services, Attacks and extortion, Data/identity theft, Scams, and Cashing out/money laundering. The WCI was developed through an expert survey involving 92 participants from various countries, who were asked to nominate countries as significant sources of each type of cybercrime and rate them based on impact, professionalism, and technical skill of offenders. The results indicate that a small number of countries house the greatest cybercriminal threats. These findings help to identify cybercrime hotspots and may aid law enforcement and policymakers in combating cybercrime. The WCI provides a more accurate measure of cybercriminality than technical data alone, which often fails to capture the true geographical distribution of cybercriminals. The study also highlights the local dimension of cybercrime, showing that cybercrime is not uniformly distributed and that certain countries specialize in particular types of cybercrime. The WCI is a valuable tool for understanding the geography of cybercrime and for directing resources to areas of greatest concern. However, the study acknowledges limitations, including the potential for bias in the expert sample and the need for further research to validate the findings. The WCI contributes to theoretical debates on the local nature of cybercrime and offers insights into the factors that drive cybercrime in different regions.