Report Hate Crime

This page is for reporting ALL hate crimes in the areas listed below or if you are a student or member of staff at Queen Mary University of London, whether you are a victim of Hate Crime, you have witnessed incident you believe to be a Hate Crime or you are a third party to an incident that could be a Hate Crime.

You can use this page if you live in any of the areas listed below or if the incident you are reporting happened in one of the listed areas. You can also use it if you are a student or member of staff at Queen Mary University of London

Click here to go straight to the main Stop Hate UK reporting page

Click here to go to the QMUL reporting page

We also cover more areas for our LGB & T and Learning Disability services. Just click on the links here to find our more – LGB&T – Learning Disability

If you want to find out about news, links and our services in a particular area, you can also click on the locations below:

• Derbyshire
• Devon and Cornwall and the Isles of Scilly
• Essex
• Gypsy & Traveler Communities (West Yorkshire)
• Leeds
• Lincolnshire
• Royal Borough of Greenwich
• London Borough of Hackney
• London Borough of Harrow
• London Borough of Richmond
• London Borough of Sutton
• Merseyside
• North Yorkshire
• Oldham
• Roma Community (Yorkshire & Humber region)
• Sheffield
• Southway Housing
• Wakefield
• Wigan
• Report any type of Hate Crime throughout West Yorkshire via our Hate Crime Reporting App

*We are unable to provide you with support if your area is not listed or you are not a student or member of staff at Queen Mary University of London, however you can still report Hate Crimes and Hate Incidents online through the True Vision website as well as find the support you need on our page of National Schemes.

Proceed to reporting a hate crime

Stop Hate UK accepts no responsibility for the views expressed and content of these external sites.

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If you would like to find out about our services in a different language, please visit our languages section.

Report Hate Crime in BSL using InterpreterNow:

 

 

 

 

Click here and then enter Username: stophate Password: stophate