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Tonypandy

City in Rhondda Cynon Taf, United Kingdom

Overview

Tonypandy is a small but lively Welsh town set in the Rhondda Valley, once a thriving coal mining hub. Today, it offers historical charm, scenic valley views, and authentic local culture at a relaxed pace.

Geographic Context

Jurisdiction
United Kingdom
Unitary Authority
Rhondda Cynon Taf
Population
3,560
Time Zone
Europe/London
Coordinates
51.62°, -3.46°

Key Metrics

Safety Score · estimate
72
Female Safety
75
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$2,096
Local Cost
$1,110
Local Income
$1,950
Cashless
80
English
98
Temperature
10.8°C
Summer Avg
15.7°C
Winter Avg
6.3°C
Record High
27.3°C
Record Low
-4.5°C
Humidity
87%
Precipitation
1104 mm
Internet Speed
207 Mbps
Upload
63 Mbps
Latency
11 ms
City Vibrancy
21
Coworking
0
Cafes
7
Nightlife
9
Parks
5
Transport
89
Walk Score
89
Footways
177.0
Airport
CWL
Distance
26 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 149 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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