Crime Data Mapping & Visualisation

This section provides an overview of all recorded crimes and anti-social behaviour incidents. It combines data from every category to give a complete picture of local trends. Use this dataset to understand overall crime levels and identify hotspots across neighbourhoods.

Anti-social behaviour includes actions that cause harassment, alarm, or distress to others, such as vandalism or public nuisance. Monitoring these incidents helps police and communities address quality-of-life issues. Explore this data to see patterns and areas where intervention may be needed.

Bicycle theft covers all reported cases of stolen bikes, whether locked in public spaces or taken from private property. This dataset helps identify theft hotspots and times of increased risk. It can inform prevention strategies and community awareness campaigns.

Burglary refers to unlawful entry into homes or businesses with intent to steal or commit other crimes. Tracking burglary trends supports targeted patrols and crime prevention advice.

This category includes deliberate damage to property and incidents of arson. These crimes can have serious financial and safety impacts on communities. Explore the data to see where property damage is most common and how trends change over time.

Drug-related offences include possession, supply, and production of controlled substances. Understanding these patterns helps tackle organised crime and protect vulnerable individuals. Use this dataset to see where drug activity is most prevalent.

Other theft includes stealing items that are not vehicles, bicycles, or shop goods—such as mobile phones or unattended bags. Monitoring these offences helps identify opportunistic crime trends. Explore this dataset for insights into theft hotspots.

This category records incidents where individuals are found carrying weapons unlawfully. These offences pose significant risks to public safety. Use this data to understand where weapon possession is most common and inform prevention efforts.

Public order offences involve behaviour that threatens peace or safety, such as violent protests or disorderly conduct. Tracking these incidents helps maintain community stability. View this dataset to see patterns and areas of concern.

Robbery is the use of force or threat to steal from a person, often in public places. These crimes can cause serious harm and fear in communities. Explore this data to identify trends and support targeted policing.

Shoplifting refers to theft of goods from retail premises. Monitoring these offences helps businesses and police reduce losses and improve security. Use this dataset to see where shoplifting is most common.

This category includes crimes like pickpocketing or snatching items directly from individuals. These offences often occur in crowded areas and can be distressing for victims. Check this data to understand where these crimes are most frequent.

Vehicle crime covers theft of vehicles and items from inside them. These offences can lead to significant financial loss and inconvenience. Explore this dataset to identify trends in vehicle-related crime.

This category includes assaults, sexual offences, and other violent crimes. These incidents have serious impacts on victims and communities. Use this data to understand patterns and support safeguarding measures.

Other crime covers offences that do not fall into the main categories, such as perjury or dangerous driving. These incidents, while less frequent, still affect community safety. Check this data for a broader view of criminal activity.