This research article introduces the World Cybercrime Index (WCI), a global metric designed to measure the geography of cybercrime. The study addresses the challenge of identifying the true locations of cybercriminals, who often mask their identities and hide behind technical protections. To overcome this, the authors conducted an expert survey from March to October 2021, inviting leading cybercrime intelligence and investigations experts worldwide to participate. Participants were asked to nominate countries as significant sources of five major categories of cybercrime and rank them based on impact, professionalism, and technical skill. The WCI combines these responses into a global metric, revealing that a small number of countries house the greatest cybercriminal threats. The findings highlight the local dimension of cybercrime and provide valuable insights for law enforcement, policymakers, and academic research. The study also discusses limitations, including the small sample size and potential biases, and suggests future directions for research.This research article introduces the World Cybercrime Index (WCI), a global metric designed to measure the geography of cybercrime. The study addresses the challenge of identifying the true locations of cybercriminals, who often mask their identities and hide behind technical protections. To overcome this, the authors conducted an expert survey from March to October 2021, inviting leading cybercrime intelligence and investigations experts worldwide to participate. Participants were asked to nominate countries as significant sources of five major categories of cybercrime and rank them based on impact, professionalism, and technical skill. The WCI combines these responses into a global metric, revealing that a small number of countries house the greatest cybercriminal threats. The findings highlight the local dimension of cybercrime and provide valuable insights for law enforcement, policymakers, and academic research. The study also discusses limitations, including the small sample size and potential biases, and suggests future directions for research.