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Darenth
City in Bexley, United Kingdom
Overview
Darenth is a quaint village in Bexley, United Kingdom, known for its picturesque countryside, historical landmarks, and strong local community spirit. Though close to London, Darenth offers visitors a serene rural escape with charming walks, country pubs, and easy access to green spaces.
Geographic Context
Jurisdiction
United Kingdom
London Borough
Bexley
Population
4,150
Time Zone
Europe/London
Coordinates
51.42°, 0.26°
Key Metrics
Safety Score · estimate
80
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
87
Food Safety
96
Monthly Cost · estimate
$2,871
Local Cost
$1,862
Local Income
$2,300
Cashless
95
English
100
Temperature
10.4°C
Summer Avg
16.8°C
Winter Avg
4.4°C
Record High
34.0°C
Record Low
-8.2°C
Humidity
85%
Precipitation
709 mm
Internet Speed
232 Mbps
Upload
151 Mbps
Latency
8 ms
City Vibrancy
11
Coworking
0
Cafes
4
Nightlife
2
Parks
5
Transport
49
Walk Score
49
Footways
97.0
Airport
LCY
Distance
17 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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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