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Ebbw Vale

City in Blaenau Gwent, United Kingdom

Overview

Ebbw Vale is a former industrial town set among the hills of Blaenau Gwent, South Wales. It offers spectacular countryside scenery, a welcoming community, and a growing number of cultural sites reflecting its industrial heritage.

Geographic Context

Jurisdiction
United Kingdom
Unitary Authority
Blaenau Gwent
Population
—
Time Zone
Europe/London
Coordinates
51.78°, -3.21°

Key Metrics

Safety Score · estimate
72
Female Safety
75
LGBTQ+ Safety
75
Traffic Safety
80
Food Safety
97
Monthly Cost · estimate
$1,825
Local Cost
$1,070
Local Income
$1,650
Cashless
88
English
100
Temperature
8.7°C
Summer Avg
14.4°C
Winter Avg
3.6°C
Record High
31.0°C
Record Low
-10.7°C
Humidity
90%
Precipitation
1064 mm
Internet Speed
57 Mbps
Upload
13 Mbps
Latency
33 ms
City Vibrancy
13
Coworking
1
Cafes
3
Nightlife
3
Parks
6
Transport
64
Walk Score
64
Footways
128.0
Airport
CWL
Distance
43 km

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 2025-12-09.
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 2026-03-23.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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