Clones
City in Ulster, Ireland
Overview
Clones is a charming market town in County Monaghan, Ulster, near the border with Northern Ireland. It's known for its ancient round tower, historic churches, and welcoming local community. The town offers an authentic Irish experience away from the major tourist crowds.
Geographic Context
Jurisdiction
Ireland
Province
Ulster
Population
1,885
Time Zone
Europe/Dublin
Coordinates
54.18°, -7.23°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
70
Food Safety
95
Monthly Cost · estimate
$1,755
Local Cost
$1,150
Local Income
$2,200
Cashless
70
English
100
Temperature
8.9°C
Summer Avg
14.1°C
Winter Avg
4.3°C
Record High
26.8°C
Record Low
-6.8°C
Humidity
90%
Precipitation
1158 mm
Internet Speed
449 Mbps
Upload
95 Mbps
Latency
8 ms
City Vibrancy
11
Coworking
0
Cafes
3
Nightlife
8
Parks
0
Transport
69
Walk Score
69
Footways
138.0
Airport
ENK
Distance
36 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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.