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Llanelli

City in Swansea, United Kingdom

Overview

Llanelli is a lively town in southwest Wales known for its industrial heritage, rugby culture, and scenic coastline. Visitors enjoy its welcoming community, green spaces, and easy access to the Gower Peninsula and Carmarthenshire countryside.

Geographic Context

Jurisdiction
United Kingdom
Unitary Authority
Swansea
Population
25,359
Time Zone
Europe/London
Coordinates
51.68°, -4.16°

Key Metrics

Safety Score · estimate
77
Female Safety
74
LGBTQ+ Safety
72
Traffic Safety
70
Food Safety
92
Monthly Cost · estimate
$2,215
Local Cost
$1,125
Local Income
$2,200
Cashless
88
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
156 Mbps
Upload
46 Mbps
Latency
12 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
SWS
Distance
11 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 14 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.

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: 71/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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