Learning R - Exploring the COVID Crime Effect in London
The lockdown and social distancing measures that were brought in throughout the world to tackle COVID in 2020 have had a significant, widespread effect on crime. In this notebook, I use public London crime data on robbery and burglary to examine where this “COVID crime shift” was strongest, and whether any specific drivers or correlates can be identified. I use three years of Metropolitan Police Service data from data.police.uk.
The findings suggest that the relative change in burglary and robbery in April and May 2020 was heavily affected by local characteristics: areas with a high residential population saw the sharpest decreases in burglary (likely due to a reduction in available targets) while the reduction in robberies instead seem to be driven by geographic features and indicators of deprivation (potentially suggesting more available targets for robbery in communities least able to work for from home).