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Denton Holme
City in Cumbria, United Kingdom
Overview
Denton Holme is a residential district in the city of Carlisle, Cumbria, blending Victorian heritage with a lively local spirit. Known for its riverside walks and friendly vibe, it offers an authentic slice of northwest English life. The community is warm and inclusive, making it a welcoming spot for visitors and new residents alike.
Geographic Context
Jurisdiction
United Kingdom
Two Tier County
Cumbria
Population
6,500
Time Zone
Europe/London
Coordinates
54.88°, -2.94°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
80
Traffic Safety
90
Food Safety
100
Monthly Cost · estimate
$2,098
Local Cost
$1,330
Local Income
$2,200
Cashless
85
English
100
Temperature
8.2°C
Summer Avg
13.8°C
Winter Avg
3.2°C
Record High
26.4°C
Record Low
-7.8°C
Humidity
90%
Precipitation
1125 mm
Internet Speed
282 Mbps
Upload
135 Mbps
Latency
18 ms
City Vibrancy
124
Coworking
0
Cafes
34
Nightlife
44
Parks
46
Transport
81
Walk Score
81
Footways
161.0
Airport
CAX
Distance
10 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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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