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Glyncorrwg
City in Neath Port Talbot, United Kingdom
Overview
Glyncorrwg is a charming village on the edge of Afan Forest Park, renowned for its scenic nature trails, mountain biking, and rich mining heritage. The town offers a friendly local atmosphere, making it ideal for outdoor enthusiasts and those seeking a peaceful retreat amidst the Welsh valleys.
Geographic Context
Jurisdiction
United Kingdom
Unitary Authority
Neath Port Talbot
Population
5,283
Time Zone
Europe/London
Coordinates
51.68°, -3.63°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
70
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,965
Local Cost
$1,230
Local Income
$2,100
Cashless
60
English
100
Temperature
10.8°C
Summer Avg
15.7°C
Winter Avg
6.3°C
Record High
27.3°C
Record Low
-4.5°C
Humidity
87%
Precipitation
1104 mm
Internet Speed
38 Mbps
Upload
8 Mbps
Latency
13 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
SWS
Distance
32 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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