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Tonyrefail

City in Rhondda Cynon Taf, United Kingdom

Overview

Tonyrefail is a small town set in the scenic valleys of Rhondda Cynon Taf in South Wales. Known for its welcoming community, lush surroundings, and easy road connections to Cardiff and Bridgend, Tonyrefail offers a quiet escape with Welsh heritage.

Geographic Context

Jurisdiction
United Kingdom
Unitary Authority
Rhondda Cynon Taf
Population
12,888
Time Zone
Europe/London
Coordinates
51.58°, -3.43°

Key Metrics

Safety Score
80
Female Safety
80
LGBTQ+ Safety
85
Traffic Safety
78
Food Safety
95
Monthly Cost
$1,943
Local Cost
$1,232
Local Income
$2,100
Cashless
87
English
100
Temperature
10.3°C
Summer Avg
15.8°C
Winter Avg
5.3°C
Record High
30.8°C
Record Low
-5.8°C
Humidity
87%
Precipitation
966 mm
Internet Speed
47 Mbps
Upload
11 Mbps
Latency
18 ms
City Vibrancy
11
Coworking
0
Cafes
0
Nightlife
3
Parks
8
Transport
22
Walk Score
22
Footways
43.0
Airport
CWL
Distance
22 km

Neighborhoods

Partial

Coverage is incomplete — additional neighborhoods are being added as more source data is processed.

Coverage is incomplete — more neighborhoods are being added.

View neighborhoods

Frequently 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 16 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
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 62/100.

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