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Deeside
City in Flintshire, United Kingdom
Overview
Deeside is a community in North Wales, bordering England and built along the scenic River Dee. The area blends historic towns, local industry, and lush countryside, making it a practical and welcoming base for exploring the region. Its proximity to Chester and Liverpool adds extra convenience for travellers looking for day trips.
Geographic Context
Jurisdiction
United Kingdom
Unitary Authority
Flintshire
Population
32,000
Time Zone
Europe/London
Coordinates
53.20°, -3.04°
Key Metrics
Safety Score · estimate
78
Female Safety
75
LGBTQ+ Safety
75
Traffic Safety
75
Food Safety
95
Monthly Cost · estimate
$2,428
Local Cost
$1,448
Local Income
$2,250
Cashless
90
English
100
Temperature
9.1°C
Summer Avg
14.8°C
Winter Avg
4.0°C
Record High
27.6°C
Record Low
-6.8°C
Humidity
88%
Precipitation
913 mm
Internet Speed
250 Mbps
Upload
38 Mbps
Latency
15 ms
City Vibrancy
41
Coworking
0
Cafes
7
Nightlife
12
Parks
22
Transport
0
Walk Score
0
Footways
—
Airport
CEG
Distance
5 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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