This review analyses the timeseries evidence of the effects of changing income inequality on crime for a number
of countries and types of crime. 17 papers analysing this relationship using timeseries evidence were found via a
systematic search. The papers findings on the relationship between inequality and crime were classified as providing
evidence of Significant Positive Associations, No Significant Associations, or Significant Negative Associations.
The analysis indicated that property crime increases with rising income inequality and specific measures of violent
crime, such as homicide and robbery, also display sensitivity to income inequality over time. Aggregated non-specific
measures of violent crime, however, do not display such sensitivity, which is most likely to be due to differences in
crime reporting. The majority of the differences in the findings can be explained by the choice of covariates, and the
estimators and measures used in the paper. The paper concludes with a unified interpretation of the timeseries
evidence.