The fact that some places have persistently higher levels of crime has received widespread attention. To some extent the persistently high levels of crime at such hot spots is likely to be related to flows of people. City center locations with large flows of people are quite often also hot spots, e.g. hot spots of pick pocketing at the central train station, or hot spots of assault in the night life district. This can be related to crime pattern theory which states that nodes where many people converge will be expected to have more crime, and to routine activity theory stating that the convergence of potential offenders and suitable victims under conditions of lacking guardianship may produce crimes. The associations between flows of people and crimes are likely to differ between crime types however, and in the present study an attempt to explore and quantify such differences will be performed. The analysis will consider locations that have high counts of crime in the city of Malmö, Sweden for the six crime types. For each crime type hot spots will be identified and mapped, and to explore if, or how, this is related to flows of people the crime levels will then be analyzed in relation to the number of people who boarded a local bus (N=33 134 198) nearby. The paper is expected to result in an understanding of the extent to which hotspots for the six crime types are related to nearby flows of people as measured through bus trips. Systematic differences between crime types for such associations within a single city can improve our understanding of how flows of people differen-tially impact on crime hot spots.