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Cross Hands
City in Carmarthenshire, United Kingdom
Overview
Cross Hands is a small Welsh town set in the rolling hills of Carmarthenshire, known for its welcoming community and convenient location near the Brecon Beacons. It combines historic charm with modern amenities, making it a practical base for exploring the region.
Geographic Context
Jurisdiction
United Kingdom
Unitary Authority
Carmarthenshire
Population
4,549
Time Zone
Europe/London
Coordinates
51.79°, -4.09°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
72
Traffic Safety
88
Food Safety
95
Monthly Cost · estimate
$2,004
Local Cost
$1,200
Local Income
$2,100
Cashless
88
English
100
Temperature
9.7°C
Summer Avg
14.6°C
Winter Avg
5.2°C
Record High
27.4°C
Record Low
-7.1°C
Humidity
89%
Precipitation
1285 mm
Internet Speed
206 Mbps
Upload
38 Mbps
Latency
13 ms
City Vibrancy
5
Coworking
0
Cafes
2
Nightlife
1
Parks
2
Transport
9
Walk Score
9
Footways
18.0
Airport
SWS
Distance
21 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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