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Eaglescliffe
City in Stockton-on-Tees, United Kingdom
Overview
Eaglescliffe is a charming semi-rural suburb set in Stockton-on-Tees, renowned for its access to green spaces, the scenic River Tees, and its strong community feel. The area offers convenient rail links and is minutes away from the lively town of Yarm.
Geographic Context
Jurisdiction
United Kingdom
Unitary Authority
Stockton-on-Tees
Population
7,900
Time Zone
Europe/London
Coordinates
54.53°, -1.35°
Key Metrics
Safety Score · estimate
80
Female Safety
80
LGBTQ+ Safety
70
Traffic Safety
73
Food Safety
97
Monthly Cost · estimate
$1,915
Local Cost
$1,130
Local Income
$2,150
Cashless
92
English
100
Temperature
8.9°C
Summer Avg
14.5°C
Winter Avg
3.8°C
Record High
26.4°C
Record Low
-5.7°C
Humidity
88%
Precipitation
829 mm
Internet Speed
98 Mbps
Upload
19 Mbps
Latency
18 ms
City Vibrancy
40
Coworking
0
Cafes
12
Nightlife
15
Parks
13
Transport
100
Walk Score
100
Footways
946.0
Airport
MME
Distance
5 km
Explore
Data sources
Source-backed data
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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