Findon Crime Rate

Crime statistics for Findon, within the Arun district, indicate a rate of 28.9 crimes per 1,000 residents annually, from January 2025 to December 2025. This is notably higher than the UK average of 91.6 per 1,000 residents, suggesting a disproportionately higher risk of crime compared to the national picture. While the area maintains a high safety score of 93 out of 100, the specific types of crimes recorded warrant careful consideration. The recent trend has been stable, decreasing by 2.5% year-on-year, but localised incidents still contribute to the overall crime rate.

Findon's crime profile for the period of January 2025 to December 2025 reveals a concerning prevalence of violence and sexual offences, accounting for 30.8% of recorded crimes. Burglary represents 15.4% of incidents, and anti-social behaviour contributes 12.8%. Other theft and various 'other' crimes each account for 12.8% and 7.7% respectively, while criminal damage and arson, and vehicle crime each represent 7.7% of incidents. The relatively small population of Findon (1350) means even a few incidents can significantly impact the crime rate. Factors potentially influencing these statistics could include the area's location, proximity to larger urban centres, and the demographic makeup of the community, although further investigation would be required to determine precise contributing elements.

Crime rates in Findon have remained relatively stable, showing a decrease of 2.5% year-on-year. While January 2025 recorded a low of 0.7 incidents per 1,000 residents, June 2025 saw a spike to 5.9 per 1,000. Subsequent months, including October and November, mirrored the June peak. The December 2025 figures stand at 3.7 per 1,000, indicating a return to a more typical level. This slight fluctuation highlights the importance of ongoing monitoring and proactive measures to maintain the overall downward trend.

How To Keep Safe in Findon

Given the prevalence of violence and sexual offences, it's crucial to remain vigilant when out and about, especially during the evening. Consider walking with a friend or using well-lit routes. Due to the risk of burglary, ensure all doors and windows are securely locked, even when at home. Regarding vehicle crime, park in well-lit areas and consider using a steering wheel lock. Finally, report any suspicious activity to the police immediately; your vigilance can help prevent further incidents.

Crime in Findon exhibits a noticeable pattern throughout the day. Burglary incidents are most frequent during the afternoon and evening hours, with a peak in the late evening. Vehicle crime shows a tendency to occur overnight, between 12am and 6am. Theft tends to occur during commercial hours, between 9am and 5pm, while anti-social behaviour is often concentrated in the evening. The data suggests a need for increased vigilance during these periods.

When comparing Findon's crime statistics to nearby areas, the disparity is striking. Clapham and Rock both record zero crimes per 1,000 residents, demonstrating a significantly safer environment. Worthing, however, has a considerably higher crime rate of 92.9 per 1,000, mirroring the national average more closely. These comparisons highlight Findon’s unique position and the importance of local safety measures.

Traditional CCTV systems often simply record footage after a crime has occurred. Reading crime statistics, as we have done here, is one thing. Actually preventing those incidents at your property line is another. scOS offers a proactive approach to home security. By utilising AI, scOS detects potential threats – individuals approaching your property, unusual vehicle activity, or even fake DVLA plates – before a break-in can occur. Its multi-camera intelligence constantly monitors all cameras simultaneously, providing comprehensive coverage. The visible presence of scOS, with its lights and audible warnings, acts as a powerful deterrent, often causing potential intruders to move on within those crucial first 60 seconds – the timeframe in which many burglars decide whether or not to proceed. This preventative approach, combined with pattern learning that recognises family members and deliveries, ensures only genuine threats trigger an alert, providing a level of protection beyond that of traditional systems.