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Dungannon
City in Mid Ulster, United Kingdom
Overview
Dungannon, set in the heart of Mid Ulster, is a historic market town with a strong heritage and a lively local community. The town features a mix of traditional charm, green spaces, and modern amenities, making it an appealing stop for visitors exploring Northern Ireland.
Geographic Context
Jurisdiction
United Kingdom
District
Mid Ulster
Population
11,935
Time Zone
Europe/London
Coordinates
54.50°, -6.77°
Key Metrics
Safety Score · estimate
75
Female Safety
76
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
98
Monthly Cost · estimate
$1,995
Local Cost
$1,238
Local Income
$2,250
Cashless
85
English
100
Temperature
8.8°C
Summer Avg
13.9°C
Winter Avg
4.1°C
Record High
26.4°C
Record Low
-6.6°C
Humidity
90%
Precipitation
1092 mm
Internet Speed
291 Mbps
Upload
53 Mbps
Latency
27 ms
City Vibrancy
13
Coworking
0
Cafes
5
Nightlife
3
Parks
5
Transport
83
Walk Score
83
Footways
166.0
Airport
BFS
Distance
39 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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