Crime & Inequality: the need for detailed geographical data and analysis David McLennan.

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Presentation transcript:

Crime & Inequality: the need for detailed geographical data and analysis David McLennan

Crime in South Africa South Africa has one of the highest violent crime rates in the world (UNODC). According to the StatsSA Victims Of Crime Survey 2012:  14% of people feel unsafe walking alone in their neighbourhood during the day.  64% of people feel unsafe walking alone in their neighbourhood at night. Crime has economic, physical and psychological consequences, for victims and wider community.

Experience in the UK Crime Domain initially introduced in English Indices of Deprivation 2004 ( then 2007, 2010 & 2015 ). Data exists on every crime recorded by the police, including the detailed grid reference of location – but highly sensitive. Data sharing agreements with police forces. Crimes mapped and assigned to neighbourhood of occurrence.

Map showing LSOA level crime thematic UK

Crime data in SA Recorded crime data collated by SAPS. Currently available for research purposes aggregated to Police Station/Precinct level. Underlying ‘docket’-level data should contain detailed locational data, such as grid references, but…  Currently not possible to obtain from SAPS.  Unclear what proportion of crimes are missing detailed locational data.

Population size Obs1,092 Smallest1,013 1%1,531 5%2,983 10%4,691 25%11,017 50%26,514 75%55,246 90%94,440 95%120,050 99%215,102 Largest296,986 Mean40,452 Std. Dev.42,867

City centre Soweto Sandton Alexandra

City centre Soweto Sandton Alexandra

City centre Soweto Sandton Alexandra

City centre Soweto Sandton Alexandra

City centre Soweto Sandton Alexandra

Crime and inequality? Collaborative project ongoing at the moment between HSRC and Oxford University (with contributions from SASPRI and ISS) on links between crime, poverty and inequality in SA. Can inequality measures inform our understanding of crime patterns and trends? If so, how?