Area Overview for CV6 4NF

CV6 4NF is a small residential cluster in the West Midlands, nestled approximately 3 miles north-west of Coventry’s city centre. With a population of 1,585, it is a compact suburb characterised by suburban housing developed from former green fields. The area’s history is rooted in 19th-century rural landscapes, with brooks like Hall Brook and Keresley Brook now culverted beneath the modern housing stock. This postcode covers a tight-knit community where the median age is 47, reflecting a population of working-age adults and older residents. The area’s proximity to Coventry offers easy access to the city’s amenities, while its historical industrial legacy—such as the Dunlop factory and Keresley Colliery—shapes its character. Residents benefit from a mix of practical infrastructure, including retail outlets, rail links, and digital connectivity, making it a viable option for those seeking a balanced suburban lifestyle. The area’s low flood risk and absence of protected natural sites suggest a stable environment, though its crime risk is medium, requiring standard security measures.

The community in CV6 4NF is predominantly composed of adults aged 30–64, with a median age of 47. This suggests a mature population, likely with established careers and families. Home ownership stands at 49%, indicating a mix of owner-occupied and rental properties. The accommodation type is primarily houses, which aligns with the suburban layout of the area. The predominant ethnic group is White, reflecting a lack of significant ethnic diversity in the data. With a population of 1,585, the area is small enough to foster a close-knit community but not so large as to feel anonymous. The absence of specific deprivation data means the quality of life cannot be directly assessed, but the age profile and housing stock suggest a stable, working-class demographic. The presence of schools like Parkgate School and Holy Family School nearby indicates that the area is family-friendly, though the lack of detailed socioeconomic data limits deeper analysis.