Guisborough Crime Rate May 2023 | Monthly Statistics

Guisborough's crime rate in May 2023 reached 12.0 per 1,000 residents, placing it 50% above the UK average of 8.0 per 1,000. This stark divergence highlights a local profile distinct from the national trend, with anti-social behaviour and shoplifting emerging as particularly pronounced issues. Violence and sexual offences (53 incidents, 23.3% of total) and anti-social behaviour (44 incidents, 19.3%) formed the largest shares of reported crimes, but the most extreme disparity lies in shoplifting, which was 288% above the UK average. This category alone accounted for 15.8% of all crimes, suggesting a significant challenge for local retail environments. The seasonal context of May — with its longer evenings and bank holidays — may have amplified social interactions, potentially contributing to the 73% surge in anti-social behaviour compared to the UK average. While violent crime rates (2.8 per 1,000) were only 1% above the UK average, the overall pattern reflects a community grappling with property-related offences. The sharp rise in burglary (1.3 per 1,000, 319% above UK average) and criminal damage (1.5 per 1,000, 142% above UK average) further underscores a trend towards property crime, which constituted 62% of all incidents. This contrasts with the UK-wide balance, where property crimes typically account for around 50% of total offences. The local context — a built-up area within Redcar and Cleveland — likely plays a role, with retail hubs and community spaces serving as focal points for these crimes. However, whether these trends are linked to broader socioeconomic factors, though the proximity to major transport links and urban centres may partly explain the higher-than-average shoplifting and burglary rates. The seasonal shift into warmer weather may have also influenced outdoor drinking and socialising, which could contribute to the rise in anti-social behaviour.

May 2023 saw dramatic increases in several crime categories, with criminal damage and arson jumping 211.1% from 9 to 28 incidents. Burglary also rose sharply by 166.7%, from 9 to 24 cases, marking one of the largest month-on-month increases in the dataset. Anti-social behaviour, already a significant concern, rose by 109.5% to 44 incidents — 73% above the UK average for this category. This surge is particularly notable given the area's relatively small population. Conversely, vehicle crime fell by 11.1% to 8 incidents, the only category to show a decline. The disproportionate rise in anti-social behaviour compared to the UK average (1.3 per 1,000) suggests localized pressures, possibly linked to May's longer evenings and bank holidays. For residents, the 288% increase in shoplifting — 36 incidents compared to the UK average of 0.5 per 1,000 — underscores the need for vigilance in retail areas. These shifts highlight a crime mix skewed heavily towards property-related offences, with anti-social behaviour and shoplifting dominating the breakdown.

Guisborough's crime rate in May 2023 rose sharply to 12.0 per 1,000 residents, a 40.7% increase from 8.6 per 1,000 in April. This places the area well above the UK average, with 50% higher rates overall. On a daily basis, 7 crimes were reported each day in Guisborough, translating to roughly one reported crime for every 83 residents over the month. While this monthly exposure figure does not directly compare to UK-wide statistics, the local context suggests a significant spike in specific crime types. The population of 18,954 means that the absolute number of crimes (228) represents a tangible impact on residents, particularly in categories like anti-social behaviour and shoplifting. The shift from April to May highlights a seasonal pattern: longer evenings and bank holidays may have contributed to increased socialising and associated incidents. However, the stark contrast between property crimes (111) and violent crimes (53) indicates a different dynamic than areas with higher rates of violent crime, pointing to local factors such as retail activity or community interactions as potential influences.