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Bletchingley
City in Sutton, United Kingdom
Overview
Bletchingley is a charming village set in Surrey, United Kingdom, known for its medieval heritage and picturesque rural landscapes. With historic pubs, timber-framed buildings, and peaceful surroundings, it offers a quintessential English countryside experience just outside London.
Geographic Context
Jurisdiction
United Kingdom
London Borough
Sutton
Population
3,247
Time Zone
Europe/London
Coordinates
51.24°, -0.10°
Key Metrics
Safety Score · estimate
90
Female Safety
88
LGBTQ+ Safety
85
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$2,538
Local Cost
$1,670
Local Income
$2,650
Cashless
85
English
100
Temperature
10.8°C
Summer Avg
16.5°C
Winter Avg
5.5°C
Record High
30.7°C
Record Low
-4.6°C
Humidity
85%
Precipitation
764 mm
Internet Speed
42 Mbps
Upload
12 Mbps
Latency
10 ms
City Vibrancy
7
Coworking
0
Cafes
1
Nightlife
3
Parks
3
Transport
26
Walk Score
26
Footways
51.0
Airport
LGW
Distance
11 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-22.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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