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Hebburn
City in South Tyneside, United Kingdom
Overview
Hebburn is a small, welcoming town in South Tyneside, UK, blending residential neighborhoods with green spaces and a scenic riverside. It offers a relaxed pace, easy access to Newcastle and Sunderland, and a local community feel. The town is ideal for family visits and quiet getaways while remaining close to urban conveniences.
Geographic Context
Jurisdiction
United Kingdom
Metropolitan District
South Tyneside
Population
18,808
Time Zone
Europe/London
Coordinates
54.97°, -1.52°
Key Metrics
Safety Score · estimate
72
Female Safety
70
LGBTQ+ Safety
70
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,971
Local Cost
$1,260
Local Income
$2,400
Cashless
90
English
100
Temperature
9.6°C
Summer Avg
14.4°C
Winter Avg
5.3°C
Record High
23.0°C
Record Low
-1.8°C
Humidity
86%
Precipitation
782 mm
Internet Speed
248 Mbps
Upload
44 Mbps
Latency
19 ms
City Vibrancy
61
Coworking
0
Cafes
11
Nightlife
17
Parks
33
Transport
0
Walk Score
0
Footways
—
Airport
NCL
Distance
13 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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