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Coronel Barros
City in Rio Grande do Sul, Brazil
Overview
Coronel Barros is a tranquil, small town set in the countryside of Rio Grande do Sul, Brazil. Known for its friendly community and peaceful atmosphere, it offers authentic rural experiences and local charm. While modest in size, its neighborhoods each bring their own flavor to daily life.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Sul
Population
2,896
Time Zone
America/Sao_Paulo
Coordinates
-28.39°, -54.06°
Key Metrics
Safety Score · estimate
69
Female Safety
62
LGBTQ+ Safety
48
Traffic Safety
65
Food Safety
60
Monthly Cost · estimate
$592
Local Cost
$337
Local Income
$300
Cashless
30
English
20
Temperature
19.5°C
Summer Avg
24.7°C
Winter Avg
14.0°C
Record High
41.6°C
Record Low
-3.7°C
Humidity
79%
Precipitation
1704 mm
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
GEL
Distance
16 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 2025-12-07.
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: 42/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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