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Barão de Cotegipe
City in Rio Grande do Sul, Brazil
Overview
Barão de Cotegipe is a small, welcoming city in the north of Rio Grande do Sul, Brazil. With just over 7,000 residents, it offers a blend of rural beauty, community spirit, and important amenities without urban hustle. It's ideal for tranquil living and authentic regional experiences.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Sul
Population
7,320
Time Zone
America/Sao_Paulo
Coordinates
-27.55°, -52.45°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
45
Traffic Safety
60
Food Safety
70
Monthly Cost · estimate
$594
Local Cost
$340
Local Income
$350
Cashless
35
English
15
Temperature
18.6°C
Summer Avg
22.8°C
Winter Avg
13.9°C
Record High
38.1°C
Record Low
-4.6°C
Humidity
81%
Precipitation
1777 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
ERM
Distance
21 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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