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Milborne St Andrew
City in Dorset, United Kingdom
Overview
Milborne St Andrew is a picturesque village set in the rolling hills of Dorset, offering a calm rural atmosphere and authentic English countryside charm. With historic buildings and friendly locals, it's ideal for those looking to escape urban life and enjoy scenic walks.
Geographic Context
Jurisdiction
United Kingdom
Two Tier County
Dorset
Population
1,088
Time Zone
Europe/London
Coordinates
50.78°, -2.28°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
75
Traffic Safety
88
Food Safety
95
Monthly Cost · estimate
$2,068
Local Cost
$1,350
Local Income
$2,400
Cashless
60
English
100
Temperature
10.3°C
Summer Avg
16.2°C
Winter Avg
5.0°C
Record High
33.0°C
Record Low
-7.9°C
Humidity
87%
Precipitation
850 mm
Internet Speed
56 Mbps
Upload
12 Mbps
Latency
20 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
10
Walk Score
10
Footways
19.0
Airport
BOH
Distance
31 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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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