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Shenstone
City in Walsall, United Kingdom
Overview
Shenstone is a quaint and picturesque village in Walsall, United Kingdom, known for its leafy streets, tranquil atmosphere, and classic English countryside charm. With excellent rail links to Birmingham and Lichfield, it's an appealing base for visitors seeking a peaceful retreat yet wishing for easy urban access.
Geographic Context
Jurisdiction
United Kingdom
Metropolitan District
Walsall
Population
—
Time Zone
Europe/London
Coordinates
52.64°, -1.84°
Key Metrics
Safety Score · estimate
87
Female Safety
82
LGBTQ+ Safety
72
Traffic Safety
81
Food Safety
95
Monthly Cost · estimate
$2,438
Local Cost
$1,430
Local Income
$2,250
Cashless
88
English
100
Temperature
9.5°C
Summer Avg
15.7°C
Winter Avg
3.9°C
Record High
32.0°C
Record Low
-9.3°C
Humidity
87%
Precipitation
763 mm
Internet Speed
91 Mbps
Upload
54 Mbps
Latency
13 ms
City Vibrancy
6
Coworking
0
Cafes
1
Nightlife
4
Parks
1
Transport
19
Walk Score
19
Footways
37.0
Airport
BHX
Distance
21 km
Explore
Data sources
Source-backed data
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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