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Morpeth
City in Dudley, United Kingdom
Overview
Morpeth is a picturesque market town in Northumberland, England, blending centuries-old architecture with lively local culture. Its charming streets, historic buildings, and beautiful parks make it an inviting base for exploring rural England. The town caters to both heritage seekers and outdoor enthusiasts.
Geographic Context
Jurisdiction
United Kingdom
Metropolitan District
Dudley
Population
14,376
Time Zone
Europe/London
Coordinates
55.17°, -1.69°
Key Metrics
Safety Score · estimate
88
Female Safety
80
LGBTQ+ Safety
85
Traffic Safety
92
Food Safety
95
Monthly Cost · estimate
$2,071
Local Cost
$1,300
Local Income
$2,550
Cashless
92
English
100
Temperature
8.6°C
Summer Avg
14.1°C
Winter Avg
3.6°C
Record High
26.1°C
Record Low
-7.3°C
Humidity
88%
Precipitation
863 mm
Internet Speed
125 Mbps
Upload
35 Mbps
Latency
22 ms
City Vibrancy
30
Coworking
0
Cafes
13
Nightlife
11
Parks
6
Transport
100
Walk Score
100
Footways
278.0
Airport
NCL
Distance
14 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 2025-12-06.
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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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