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Kanturk

City in Munster, Ireland

Overview

Kanturk is a picturesque market town in Munster, Ireland, known for its historic castle, friendly atmosphere, and riverside walks. Despite its small size, Kanturk offers a lively local culture, traditional pubs, and scenic countryside nearby.

Geographic Context

Jurisdiction
Ireland
Province
Munster
Population
2,350
Time Zone
Europe/Dublin
Coordinates
52.17°, -8.90°

Key Metrics

Safety Score · estimate
87
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$2,095
Local Cost
$1,410
Local Income
$2,500
Cashless
70
English
100
Temperature
9.7°C
Summer Avg
14.2°C
Winter Avg
5.7°C
Record High
25.9°C
Record Low
-7.0°C
Humidity
90%
Precipitation
1198 mm
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
0
Parks
4
Transport
6
Walk Score
6
Footways
11.0
Airport
KIR
Distance
43 km

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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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