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Hayes
City in Hillingdon, United Kingdom
Overview
Located in the London Borough of Hillingdon, Hayes is a lively town blending suburban comfort with the convenience of urban amenities. With a strong multicultural community and rapid access to central London and Heathrow Airport, Hayes is ideal for families, commuters, and visitors seeking local flavor outside the city centre.
Geographic Context
Jurisdiction
United Kingdom
London Borough
Hillingdon
Population
50,000
Time Zone
Europe/London
Coordinates
51.52°, -0.42°
Key Metrics
Safety Score · estimate
73
Female Safety
75
LGBTQ+ Safety
70
Traffic Safety
65
Food Safety
95
Monthly Cost · estimate
$3,063
Local Cost
$2,010
Local Income
$2,600
Cashless
93
English
99
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
351 Mbps
Upload
157 Mbps
Latency
7 ms
City Vibrancy
35
Coworking
0
Cafes
9
Nightlife
4
Parks
22
Transport
0
Walk Score
0
Footways
—
Airport
NHT
Distance
4 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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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