CW3 9QN

• 0 crimes within 500 mAugust, none in July eitherNewcastle-under-Lyme 013C: 41 a year per 1,000 peopleMap point
• Crewe, 12 kmThe nearest station, in a straight lineExact point
• No schools within 800 mNone found within 1.6 kmExact point
• No property in CW3 9QN listed at risk of floodingFrom rivers or the sea, with flood defences, in the Environment Agency's assessmentPostcode
• England’s least deprived 50%This neighbourhood, Newcastle-under-Lyme 013CNeighbourhood
• £209,112 average priceFor the whole of Newcastle-under-Lyme, July 2026Council
• No GP practices within 1 kmNearest is 2 km awayPostcode
• No supermarkets within 1 kmNone found within 2 kmExact point
• 88.9% can get gigabit broadband at CW3 9QNSuperfast for 88.9%. What can be ordered, January 2026Postcode
• Low road and rail noise at CW3 9QNRoad 50 dB, rail under 40 dB or not modelled (Lden, modelled for 2021)Postcode
• Not in a radon Affected AreaUnder 1% of homes in this 1 km square are estimated to be at or above the radon Action Level1 km grid
• 8.0 µg/m³ nitrogen dioxideModelled yearly average for this 1 km square, 20251 km grid

• £350,000School Lane, CW3 9QNNovember 2025, detached, established, freehold10 m

HM Land Registry sales at nearby postcodes, by street and postcode only, never a house number. Sales take weeks to be registered. Every sale on the map

Your MP

• Adam JogeeLabourMP for Newcastle-under-Lyme

As of 18 October 2026, from the UK Parliament Members API. Contains Parliamentary information licensed under the Open Parliament Licence v3.0. Source: UK Parliament, Members API.

• Street-level crimeAugust 2026Map point
• Rail and Tube stations2024/25Exact point
• SchoolsExact point
• Flood risk by postcodeJune 2026Postcode
• English Indices of Deprivation 20252025Neighbourhood
• Average house priceJuly 2026Council
• GP practicesPostcode
• SupermarketsExact point
• Broadband by postcodeJanuary 2026Postcode
• Road and rail noise by postcode2021Postcode
• Radon potential1 km grid
• Nitrogen dioxide (NO2)20251 km grid

Counts, distances and walking times are worked out by Open Index from each layer’s published points and outlines, in a straight line from the postcode’s centre. Street names © OpenStreetMap contributors.