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Abbots Langley
City in Harrow, United Kingdom
Overview
Abbots Langley is a charming village on the fringe of north London, blending historic English architecture with modern amenities and proximity to the countryside. Its relaxed pace, friendly community, and quick connections to central London make it an attractive base for both locals and visitors.
Geographic Context
Jurisdiction
United Kingdom
London Borough
Harrow
Population
21,968
Time Zone
Europe/London
Coordinates
51.71°, -0.42°
Key Metrics
Safety Score · estimate
85
Female Safety
85
LGBTQ+ Safety
85
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$2,815
Local Cost
$1,890
Local Income
$2,600
Cashless
90
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
314 Mbps
Upload
73 Mbps
Latency
7 ms
City Vibrancy
35
Coworking
1
Cafes
10
Nightlife
12
Parks
12
Transport
0
Walk Score
0
Footways
—
Airport
NHT
Distance
17 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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