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Dalton in Furness
City in Blackpool, United Kingdom
Overview
Dalton-in-Furness is a small historic market town in Cumbria, close to the Lake District and steeped in medieval charm. With historic landmarks, picturesque surroundings, and a welcoming local feel, it's a great base for exploring Furness and nearby attractions.
Geographic Context
Jurisdiction
United Kingdom
Unitary Authority
Blackpool
Population
—
Time Zone
Europe/London
Coordinates
54.16°, -3.18°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
75
Traffic Safety
75
Food Safety
93
Monthly Cost · estimate
$2,037
Local Cost
$1,320
Local Income
$2,100
Cashless
75
English
100
Temperature
9.8°C
Summer Avg
14.8°C
Winter Avg
5.2°C
Record High
24.7°C
Record Low
-3.3°C
Humidity
87%
Precipitation
1163 mm
Internet Speed
289 Mbps
Upload
173 Mbps
Latency
14 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
35
Walk Score
35
Footways
70.0
Airport
BWF
Distance
6 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 2026-03-22.
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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