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Machynlleth

City in Ceredigion, United Kingdom

Overview

Machynlleth is a charming market town richly steeped in history and culture, set amidst the scenic Dyfi Valley. It is known for its lively arts scene, independent shops, and proximity to stunning countryside and Snowdonia National Park.

Geographic Context

Jurisdiction
United Kingdom
Unitary Authority
Ceredigion
Population
2,163
Time Zone
Europe/London
Coordinates
52.59°, -3.85°

Key Metrics

Safety Score · estimate
90
Female Safety
87
LGBTQ+ Safety
78
Traffic Safety
92
Food Safety
96
Monthly Cost · estimate
$1,800
Local Cost
$1,230
Local Income
$2,100
Cashless
71
English
98
Temperature
8.7°C
Summer Avg
14.1°C
Winter Avg
3.9°C
Record High
28.4°C
Record Low
-8.5°C
Humidity
90%
Precipitation
1282 mm
Internet Speed
163 Mbps
Upload
30 Mbps
Latency
22 ms
City Vibrancy
8
Coworking
0
Cafes
5
Nightlife
3
Parks
0
Transport
54
Walk Score
54
Footways
107.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 11 tests. Record updated 2025-12-05.
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: 64/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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