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Knaphill
City in Bracknell Forest, United Kingdom
Overview
Knaphill is a welcoming residential village on the edge of Bracknell Forest in Surrey. Known for its friendly atmosphere, green spaces, and local amenities, it offers a peaceful base with access to nearby countryside and larger towns. With a strong sense of community, Knaphill appeals to families and visitors seeking a relaxed stay outside the bustle of major cities.
Geographic Context
Jurisdiction
United Kingdom
Unitary Authority
Bracknell Forest
Population
8,635
Time Zone
Europe/London
Coordinates
51.32°, -0.62°
Key Metrics
Safety Score · estimate
87
Female Safety
85
LGBTQ+ Safety
85
Traffic Safety
82
Food Safety
98
Monthly Cost · estimate
$2,705
Local Cost
$1,790
Local Income
$2,650
Cashless
95
English
100
Temperature
10.3°C
Summer Avg
16.9°C
Winter Avg
4.3°C
Record High
34.9°C
Record Low
-8.9°C
Humidity
85%
Precipitation
736 mm
Internet Speed
188 Mbps
Upload
46 Mbps
Latency
14 ms
City Vibrancy
28
Coworking
0
Cafes
9
Nightlife
9
Parks
10
Transport
100
Walk Score
100
Footways
439.0
Airport
FAB
Distance
12 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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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