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Three Crosses
City in Swansea, United Kingdom
Overview
Three Crosses is a picturesque village in the Swansea region of Wales, set on the edge of the Gower Peninsula. Known for its tranquil countryside, welcoming community, and easy access to coastal walks and natural beauty, it's a peaceful retreat from city life.
Geographic Context
Jurisdiction
United Kingdom
Unitary Authority
Swansea
Population
1,476
Time Zone
Europe/London
Coordinates
51.63°, -4.06°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
80
Food Safety
100
Monthly Cost · estimate
$2,105
Local Cost
$1,470
Local Income
$2,200
Cashless
75
English
100
Temperature
11.3°C
Summer Avg
15.6°C
Winter Avg
7.3°C
Record High
25.0°C
Record Low
-3.1°C
Humidity
86%
Precipitation
1194 mm
Internet Speed
33 Mbps
Upload
14 Mbps
Latency
11 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
2
Parks
0
Transport
11
Walk Score
11
Footways
21.0
Airport
SWS
Distance
3 km
Explore
Data sources
Source-backed data
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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