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Maple Cross

City in Hillingdon, United Kingdom

Overview

Maple Cross is a tranquil village in Hillingdon, United Kingdom, known for its green spaces, community spirit, and easy access to nature. Its proximity to London makes it a peaceful retreat for commuters and visitors seeking a slower pace.

Geographic Context

Jurisdiction
United Kingdom
London Borough
Hillingdon
Population
2,600
Time Zone
Europe/London
Coordinates
51.63°, -0.51°

Key Metrics

Safety Score · estimate
85
Female Safety
85
LGBTQ+ Safety
85
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$2,779
Local Cost
$1,800
Local Income
$2,850
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
70 Mbps
Upload
15 Mbps
Latency
8 ms
City Vibrancy
15
Coworking
0
Cafes
4
Nightlife
7
Parks
4
Transport
32
Walk Score
32
Footways
63.0
Airport
NHT
Distance
10 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-05.
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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