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Llandybie
City in Carmarthenshire, United Kingdom
Overview
Llandybie is a picturesque village in Carmarthenshire set between the Brecon Beacons and South Wales countryside. Known for its friendly community, historic buildings, and easy rail access to Ammanford and Swansea, it offers a quintessential rural Welsh experience.
Geographic Context
Jurisdiction
United Kingdom
Unitary Authority
Carmarthenshire
Population
11,707
Time Zone
Europe/London
Coordinates
51.82°, -4.01°
Key Metrics
Safety Score
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
80
Food Safety
95
Monthly Cost
$1,833
Local Cost
$1,100
Local Income
$2,200
Cashless
70
English
98
Temperature
8.8°C
Summer Avg
14.2°C
Winter Avg
3.9°C
Record High
29.0°C
Record Low
-11.0°C
Humidity
90%
Precipitation
1272 mm
Internet Speed
52 Mbps
Upload
12 Mbps
Latency
22 ms
City Vibrancy
3
Coworking
0
Cafes
1
Nightlife
2
Parks
0
Transport
11
Walk Score
11
Footways
21.0
Airport
SWS
Distance
24 km
Explore
Neighborhoods
PartialCoverage is incomplete — additional neighborhoods are being added as more source data is processed.
Coverage is incomplete — more neighborhoods are being added.
View neighborhoodsFrequently Asked Questions
Data sources
Source-backed data
NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 65 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-06.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 1 source-backed neighborhood entities are available for this city. Updated 2026-04-05.
Estimated data
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 72/100.
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