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Bedwas

City in Caerphilly, United Kingdom

Overview

Bedwas is a welcoming village in Caerphilly County, blending a rich mining history with a close-knit community feel. With scenic surroundings and easy connections to Caerphilly and Cardiff, it's popular with families, walkers, and those seeking quiet Welsh village life.

Geographic Context

Jurisdiction
United Kingdom
Unitary Authority
Caerphilly
Population
8,242
Time Zone
Europe/London
Coordinates
51.59°, -3.20°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
75
Traffic Safety
75
Food Safety
95
Monthly Cost · estimate
$2,068
Local Cost
$1,300
Local Income
$2,200
Cashless
90
English
99
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
158 Mbps
Upload
38 Mbps
Latency
11 ms
City Vibrancy
23
Coworking
0
Cafes
8
Nightlife
10
Parks
5
Transport
59
Walk Score
59
Footways
118.0
Airport
CWL
Distance
24 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 67 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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