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Marr
City in Doncaster, United Kingdom
Overview
Marr is a tranquil, picturesque village in Doncaster, United Kingdom, known for its historic church, scenic landscapes, and welcoming rural community. With just under 200 residents, the village offers peace and an authentic English countryside experience, perfect for slow travel and history buffs.
Geographic Context
Jurisdiction
United Kingdom
Metropolitan District
Doncaster
Population
169
Time Zone
Europe/London
Coordinates
53.54°, -1.22°
Key Metrics
Safety Score · estimate
93
Female Safety
92
LGBTQ+ Safety
85
Traffic Safety
88
Food Safety
98
Monthly Cost · estimate
$2,108
Local Cost
$1,180
Local Income
$2,400
Cashless
85
English
100
Temperature
9.3°C
Summer Avg
15.4°C
Winter Avg
3.6°C
Record High
31.3°C
Record Low
-8.8°C
Humidity
86%
Precipitation
738 mm
Internet Speed
448 Mbps
Upload
82 Mbps
Latency
6 ms
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
1
Parks
3
Transport
0
Walk Score
0
Footways
—
Airport
LBA
Distance
46 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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