The high concentration of crime in a handful of cities is clear. What is not clear, however, is why crime levels are high in particular places. Using crime victimization data from thirty-two Mexican cities, I test one proposition and...
moreThe high concentration of crime in a handful of cities is clear. What is not clear, however, is why crime levels are high in particular places. Using crime victimization data from thirty-two Mexican cities, I test one proposition and develop another. First, I show that Zipf's law fits to a certain degree the distribution of crime victimization and fear of crime. Second, I argue that these patterns are due to opportunities to commit crimes that are created not only by the spatial-temporal convergence of potential victims and offenders, but to the principle of least effort, which helps explain urban development processes. In this regard, more and better conditions of production in a city mean not only more jobs and wealth, but also more crime victims. This suggests that urban crime is not only predictable, to some degree, but also a problem associated with the forces of urbanization. KEYWORDS Cities; crime; fear of crime; Mexico Mexican cities differ in many respects, but their similarities could be summed up under one heading: a high prevalence of crime. This is why, among other things, Mexican civil society and the federal government have engaged in heated debates about the functioning of the national crime prevention program, with particular attention being paid to the geographical definition of priority areas (i.e., demarcaciones prioritarias) for crime prevention. The premise of the program is that social crime prevention works better in areas with a high risk of crime (i.e., municipalities with high levels of homicide rates). The debate about the geographical definition of priority areas starts with the fact that the methodology for the selection of these municipalities is unclear (Mexico Evalua 2015). The two main disagreements concern whether the selected areas are actually the most dangerous areas, and whether homicide rates should be the only indicator of the need for social crime prevention policy action. What this debate shows, among other things, is that Mexico has a crime data problem. Although Mexico has some administrative records of crime at the municipal level, there currently exist very few crime data using units of analysis greater than (i.e., city or metro area) or smaller than (i.e., neighborhood) the level of the municipality, which has led to some of this definitional debate. Although the debate has largely focused on addressing problems in the existing data, two additional problems have not yet been debated. One is that the only measure of the impact of the crime prevention program is the rate of victimization or crime prevalence at the national level. Therefore, this measure does not say much, if anything, about the distribution of crime in particular locations within the country. One city with 1 million victims can be confused with ten cities with 100,000 victims, as long as they have the same crime prevalence. These areas are entirely different from a public policy perspective, however. In addition, the current budget formula in federal crime prevention policy prioritizes