The high variance of crime rates across time and space is one of the o
ldest puzzles in the social sciences; this variance appears too high t
o be explained by changes in the exogenous costs and benefits of crime
. We present a model where social interactions create enough covarianc
e across individuals to explain the high cross-city variance of crime
rates. This model provides an index of social interactions which sugge
sts that the amount of social interactions is highest in petty crimes,
moderate in more serious crimes, and almost negligible in murder and
rape.