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Ashton-under-Lyne
City in Tameside, United Kingdom
Overview
Ashton-under-Lyne is a lively market town in Greater Manchester blending historic architecture with modern amenities. Visitors enjoy its traditional market, local pubs, and easy transport links to Manchester. The town offers friendly neighborhoods and rich community life.
Geographic Context
Jurisdiction
United Kingdom
Metropolitan District
Tameside
Population
45,198
Time Zone
Europe/London
Coordinates
53.49°, -2.10°
Key Metrics
Safety Score · estimate
65
Female Safety
68
LGBTQ+ Safety
73
Traffic Safety
70
Food Safety
95
Monthly Cost · estimate
$2,492
Local Cost
$1,375
Local Income
$2,450
Cashless
90
English
100
Temperature
8.7°C
Summer Avg
14.6°C
Winter Avg
3.2°C
Record High
29.7°C
Record Low
-8.4°C
Humidity
89%
Precipitation
959 mm
Internet Speed
58 Mbps
Upload
37 Mbps
Latency
29 ms
City Vibrancy
59
Coworking
0
Cafes
12
Nightlife
27
Parks
20
Transport
0
Walk Score
0
Footways
—
Airport
MAN
Distance
20 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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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