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Bagno Roselle
City in Tuscany, Italy
Overview
Bagno Roselle is a tranquil Tuscan village just outside Grosseto, renowned for its impressive Roman ruins and relaxed country lifestyle. With its lush landscapes, ancient thermal baths, and a friendly, welcoming atmosphere, it offers an authentic escape in rural Italy.
Geographic Context
Jurisdiction
Italy
Region
Tuscany
Population
—
Time Zone
Europe/Rome
Coordinates
42.81°, 11.14°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,721
Local Cost
$1,008
Local Income
$1,250
Cashless
45
English
30
Temperature
14.5°C
Summer Avg
23.8°C
Winter Avg
6.0°C
Record High
39.7°C
Record Low
-8.4°C
Humidity
74%
Precipitation
706 mm
Internet Speed
144 Mbps
Upload
49 Mbps
Latency
22 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
12
Walk Score
12
Footways
24.0
Airport
GRS
Distance
8 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
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 2026-03-21.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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