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Coronel Belisle
City in Río Negro, Argentina
Overview
Coronel Belisle is a tranquil small town set in the Río Negro province, known for its rural charm, friendly locals, and laid-back atmosphere. Visitors can experience authentic Patagonian life among its green fields and historic spots. With a low-key vibe, it provides a relaxing retreat from city crowds.
Geographic Context
Jurisdiction
Argentina
Province
Río Negro
Population
1,841
Time Zone
America/Argentina/Buenos_Aires
Coordinates
-39.19°, -65.95°
Key Metrics
Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
60
Food Safety
65
Monthly Cost · estimate
$721
Local Cost
$463
Local Income
$250
Cashless
20
English
10
Temperature
15.7°C
Summer Avg
24.5°C
Winter Avg
7.0°C
Record High
43.1°C
Record Low
-6.4°C
Humidity
49%
Precipitation
242 mm
City Vibrancy
10
Coworking
0
Cafes
0
Nightlife
0
Parks
10
Transport
14
Walk Score
14
Footways
27.0
Airport
—
Distance
—
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 2026-03-22.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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