Mid-Suffolk South and West

Population: 21,074
Policed by: Suffolk Constabulary

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The following table and graphs show you crime and ASB breakdowns and trends for Mid-Suffolk South and West.

ASBBurglaryRobberyVehicleViolentShopliftingCD&AOther TheftDrugsBike TheftTheft From the PersonWeaponsPublic OrderOtherTotal
Feb 202414014017820026072
Jan 202475032607611014061
Dec 2023311003708610002573
Nov 202367022905600104161
Oct 20239160030013631007489
Sep 202370013114630107566
Aug 20231420126051010007268
Jul 2023144023505720034682
Jun 2023157034374421005293
May 2023158033443931001283
Apr 2023611032957520016277
Mar 2023103013338531006376


Crime Plus ASB Breakdown for Mid-Suffolk South and West


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Crime Type and ASB Charts for Mid-Suffolk South and West


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In September 2011, Other Crime was divided into 6 categories - Drugs, Public Disorder & Weapons (which was later split further and so is not displayed here), Criminal Damage & Arson (CD&A), Theft - Shoplifting, Theft-Other and Other.




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©Copyright UKCrimeStats.com

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From May 2013, the following changes were made to the crime categories:
I) The violent crime category was renamed "violence and sexual offences"
2) A new category for "bicycle theft" was created which previously fell within "other theft"
3) A new category for "theft from the person" was created which previously fell within "other theft"
4) Public disorder and weapons were then split into two new categories; "public order" and "possession of weapons"
5) Both "other firearms offences" and "other knives offences" which were in "other crime" were moved into "possession of weapons".




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The Economic Policy Centre www.economicpolicycentre.com has made every effort in order to ensure that the data for UkCrimeStats is accurate and up to date. However, we are aware of certain deficiencies in this data which are beyond our control. That's because as a 3rd party developer, we do not collect the data, the Police do who then hand it over to another data company to release to 3rd party developers such as ourselves. We only download and analyse it so that you can use it. For full detail of these deficiencies, please read here.

Neighbourhood Team

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