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Chorlton cum Hardy
City in Manchester, United Kingdom
Overview
Chorlton cum Hardy is a lively, green suburb in south Manchester, known for its creative spirit, independent shops, and welcoming population. It blends urban amenities with leafy parks and nature reserves, making it a sought-after spot for families, young professionals, and artists alike.
Geographic Context
Jurisdiction
United Kingdom
Metropolitan District
Manchester
Population
—
Time Zone
Europe/London
Coordinates
53.44°, -2.26°
Key Metrics
Safety Score · estimate
78
Female Safety
80
LGBTQ+ Safety
90
Traffic Safety
75
Food Safety
98
Monthly Cost · estimate
$2,800
Local Cost
$1,880
Local Income
$2,600
Cashless
95
English
100
Temperature
9.1°C
Summer Avg
14.8°C
Winter Avg
3.8°C
Record High
28.0°C
Record Low
-7.6°C
Humidity
89%
Precipitation
1001 mm
Internet Speed
259 Mbps
Upload
157 Mbps
Latency
10 ms
City Vibrancy
71
Coworking
0
Cafes
23
Nightlife
37
Parks
11
Transport
100
Walk Score
100
Footways
313.0
Airport
MAN
Distance
9 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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 2026-03-21.
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: 92/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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