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Llanidloes

City in Powys, United Kingdom

Overview

Llanidloes is a charming small town in Powys, Wales, known for its historic architecture, warm community, and proximity to stunning natural landscapes. The town offers a friendly atmosphere, lively local shops, and easy access to mountain trails.

Geographic Context

Jurisdiction
United Kingdom
Unitary Authority
Powys
Population
2,798
Time Zone
Europe/London
Coordinates
52.45°, -3.54°

Key Metrics

Safety Score · estimate
89
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
92
Food Safety
97
Monthly Cost · estimate
$1,875
Local Cost
$1,155
Local Income
$2,100
Cashless
72
English
100
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
70 Mbps
Upload
20 Mbps
Latency
11 ms
City Vibrancy
8
Coworking
0
Cafes
3
Nightlife
5
Parks
0
Transport
13
Walk Score
13
Footways
25.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 12 tests. Record updated 2025-12-05.
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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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