Darton Crime Rate

Darton's crime rate of 61.2 per 1,000 residents is 32.8% below the UK average, placing it in the 85/100 safety tier. While violence and sexual offences remain the most common crime type, the area's most notable deviation is the 29% elevation in 'Other crime' compared to the UK average. This contrasts with sharp declines in vehicle crime (-25.4% YoY) and the emergence of a 100% YoY increase in drug offences, highlighting complex local dynamics.

Darton is a built-up area within Barnsley, characterized by a mix of residential and commercial zones. Its proximity to commuter routes and retail hubs may influence crime patterns, particularly in areas with high foot traffic. The area's moderate population density and socioeconomic diversity likely contribute to a balanced crime profile, with opportunities for both community engagement and targeted crime prevention efforts.

The most surprising finding in Darton is the 29% elevation in 'Other crime' compared to the UK average (2.6 vs 2.0 per 1,000). This category, which includes non-specific property-related offences, may reflect vulnerabilities in public spaces or unmonitored areas. Violence and sexual offences, though 25% below the UK average, remain the most common crime type (24.1 per 1,000), likely linked to local nightlife or social dynamics. Anti-social behaviour, despite a 21% YoY rise, remains 31% below the UK average, possibly due to community policing efforts. Burglary (3.4 per 1,000) is marginally above average but declining, influenced by improved home security adoption. The sharp 100% YoY increase in drugs offences, though still 69% below the UK average, suggests emerging local challenges that may require targeted interventions.

Darton's crime rate has remained stable (-1.0% YoY), but underlying trends reveal contrasting patterns. Drugs offences have surged by 100% YoY, despite remaining 69% below the UK average. This sharp increase may reflect seasonal factors or localized changes in drug trafficking routes. Conversely, vehicle crime has declined by 25.4% YoY, possibly due to improved parking security measures. Burglary, at 3.4 per 1,000 (3% above UK average), has fallen by 17.9% YoY, likely linked to increased home security adoption. The monthly trend shows a peak in April 2025 (6.4 per 1,000) and a trough in September 2025 (3.7 per 1,000), suggesting seasonal fluctuations tied to tourism and university term patterns.

How To Keep Safe in Darton

For residents in Darton, focus on securing vehicles and public spaces. With 34% of vehicle crime occurring at night, consider using immobilisers or garage storage. The 29% elevation in 'Other crime' suggests heightened vigilance in communal areas, particularly during evenings when 54% of such incidents occur. For homes, scOS's AI boundary monitoring can detect intruders before they reach doors or windows. Given the 3.4 per 1,000 burglary rate (3% above UK average), ensure windows are obscured and valuables are not left in sight.

Crime in Darton exhibits distinct temporal patterns. Vehicle crime peaks at night (34% of night-time incidents), aligning with reduced surveillance in residential areas. Theft and burglary are most common in the afternoon (33% and 27% respectively), potentially linked to daytime commercial activity. Other crime, however, spikes in the evening (54% of evening incidents), suggesting a correlation with social interactions in public spaces. Nighttime sees a notable 36% of 'Other crime' incidents, which may reflect unmonitored community areas or transient populations.

Compared to nearby areas, Darton's 61.2 per 1,000 crime rate is 17% higher than Notton (Wakefield)'s 52.5 per 1,000 but 54% lower than Royston (Barnsley)'s 94.4 per 1,000. Barugh Green and Redbrook (62.2 per 1,000) has a 2% higher rate than Darton. These differences likely reflect variations in population density, economic profiles, and policing strategies across the region.

For Darton residents facing a 29% higher rate of 'Other crime' than the UK average, scOS offers proactive boundary detection to prevent opportunistic offences. Its AI-powered system monitors all cameras simultaneously, distinguishing between household members and potential intruders. With 34% of vehicle crime occurring at night, scOS's DVLA vehicle verification feature can flag suspicious vehicles before they reach a property. The system's learning capabilities adapt to local patterns, making it particularly effective in areas where 'Other crime' spikes in the evening.