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Ammanford
City in Swansea, United Kingdom
Overview
Ammanford is a welcoming market town in Swansea, Wales, known for its strong sense of community and access to lush countryside. Its compact centre offers a blend of local shops, small cafes, and historic buildings, while the surrounding neighborhoods provide scenic, family-friendly living.
Geographic Context
Jurisdiction
United Kingdom
Unitary Authority
Swansea
Population
5,439
Time Zone
Europe/London
Coordinates
51.79°, -3.99°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,775
Local Cost
$1,100
Local Income
$2,100
Cashless
85
English
100
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
42 Mbps
Upload
17 Mbps
Latency
18 ms
City Vibrancy
9
Coworking
0
Cafes
3
Nightlife
2
Parks
4
Transport
41
Walk Score
41
Footways
81.0
Airport
SWS
Distance
22 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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