The aim of this article is to provide a brief overview of street level crime in Pill using the latest Police statistics. Police data is usually published two months in arrears, so November 2019 are the latest figures. The data published by the Police are incidents that were reported to them in that month, not the crimes that were prosecuted and/or had further action taken. In by far the majority of incidents, no further action is taken.
There were a total of 15 street level crime incidents in Pill in November 2019. The largest category was Vehicle Crime, followed by Burglary. Below are these incidents broken down by category.
Map of street level crime incidents in November 2019
Police data is divided in Policing Neighbourhoods. We have taken the 'best fit' neighbourhood that includes Pill. This map shows if incidents are evenly distributed over the district or if there are hot spots in certain streets or areas.
Where Police data is not specific to an address for privacy reasons, most roads are represented by 1 to 2 markers or clusters. However, this should be enough to ascertain if the road you live in or are thinking of moving to, is a crime hot spot. The only exception could be where there is a large cluster of a single crime category on a street, as this could but not necessarily be related to multiple incidents at one address.
Crime incidents in neighbouring areas to Pill
We've taken the ten nearest places to Pill and ranked them by the number of crime incidents in each. This should allow you to see if Pill has more crime than other surrounding areas.
|Southgate (0.62 miles)||15|
|Pennard (1.24 miles)||15|
|Parkmill (0.56 miles)||12|
|Barland Common (2.54 miles)||9|
|Northway (2.54 miles)||9|
|Fox Hole (0.92 miles)||8|
|Ilston (1.33 miles)||7|
|Bishopston (1.86 miles)||6|
|Blackhills (3.06 miles)||3|
Most violent places near Pill
The category of crime that most concerns people is violent crime. We have taken the ten nearest place to Pill and ranked them according to the number of violent incidents in the 'best fit' Policing neighbourhood.
Information provided by data.police.uk
Published under the Open Government Licence v3.0