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Saint-Hippolyte
City in Nouvelle Aquitaine, France
Overview
Saint-Hippolyte is a picturesque village located in Alsace, France, renowned for its medieval charm and lush vineyards. Its small size offers visitors an intimate experience of traditional Alsatian hospitality and local cuisine.
Geographic Context
Jurisdiction
France
Metropolitan Region
Nouvelle Aquitaine
Population
965
Time Zone
Europe/Paris
Coordinates
45.92°, -0.89°
Key Metrics
Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
72
Traffic Safety
78
Food Safety
93
Monthly Cost · estimate
$1,872
Local Cost
$1,200
Local Income
$1,900
Cashless
60
English
32
Temperature
12.7°C
Summer Avg
19.8°C
Winter Avg
5.7°C
Record High
40.4°C
Record Low
-10.1°C
Humidity
81%
Precipitation
753 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
24
Walk Score
24
Footways
47.0
Airport
RCO
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 2025-12-08.
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 2026-03-23.
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: 64/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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