IntroductionCriminal activity continues to be a major concern in today's world, where most countries face high levels of crime (Ackerman & Murray, 2004). There is now a consensus among various researchers (see for example; Ackerman & Murray, 2004; Eck et al., 2005 & Levine, 2006) that crime is unevenly distributed across areas. In other words, crimes tend to cluster in some areas and disperse in others (Eck et al., 2005 p. 1). Individuals understand this type of knowledge in their settlements and use it in decisions related to their daily activities, avoiding those places they consider highly vulnerable to crime. For example, choices of neighborhoods, schools, shops, streets, and recreational activities are mostly driven by the knowledge “that their chances of being a victim are greater in some of these places than in others” (Eck et al., 2005 p. 1). This suggests that there is a spatial pattern to crime, which is why people are not equally afraid of all places. On the contrary, the frequency of crime (property and violent crime) according to Van Dijk (1999) in Ackerman and Murray (2004 p. 424) in many regions of the world is linked to problems of economic hardship among young people. For example, Ackerman and Murray, (2004 p.424) demonstrated that “more than half of the victimization rates in 49 countries (representing all regions of the world) for burglaries, thefts and car thefts can be explained by level of urbanisation, deprivation and affluent lifestyle”. Although the concentration of crime would be closely linked to social class (deprivation), the spatial consequences of crime have progressively disfigured neighborhoods, due to the non-stationary status of class. Given that the concentration of crime..... .middle of paper...how to direct patrols to hot spots, conduct surveillance for dispatching officers, schedule vacations and make crime alerts available to surveillance groups in the neighborhood (Gorr & Harries, 2003). Aim and objectivesThe aim of this study consists in analyzing the picture of the incidence of crime in Liverpool using quantitative techniques (hot spot maps), with the aim of evaluating the relationship between some socio-economic variables of the population and the concentration of crime in the city.Objectives1. Explore the spatial relationship between crime and social inequalities (deprivation) in the city.2. Investigate the frequency and distribution of crime and harassment in the city.3. Create an updated map of Liverpool crime map patterns, with the aim of improving understanding of crime in the city for appropriate policing and resource allocation.