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Shiremoor
City in North Tyneside, United Kingdom
Overview
Shiremoor is a peaceful suburb in North Tyneside, UK, blending historic village charm with modern conveniences. With green parks and easy access to coastal attractions, it offers a relaxing base for visitors seeking local culture and North East hospitality.
Geographic Context
Jurisdiction
United Kingdom
Metropolitan District
North Tyneside
Population
4,889
Time Zone
Europe/London
Coordinates
55.04°, -1.51°
Key Metrics
Safety Score · estimate
83
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
82
Food Safety
98
Monthly Cost · estimate
$2,089
Local Cost
$1,345
Local Income
$2,000
Cashless
95
English
100
Temperature
9.6°C
Summer Avg
14.4°C
Winter Avg
5.3°C
Record High
23.0°C
Record Low
-1.8°C
Humidity
86%
Precipitation
782 mm
Internet Speed
303 Mbps
Upload
68 Mbps
Latency
15 ms
City Vibrancy
23
Coworking
0
Cafes
5
Nightlife
12
Parks
6
Transport
100
Walk Score
100
Footways
234.0
Airport
NCL
Distance
12 km
Explore
Data sources
Source-backed data
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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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