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Viadutos
City in Rio Grande do Sul, Brazil
Overview
Viadutos is a small, rural city set in the scenic hills of northern Rio Grande do Sul. It's known for its friendly community, tranquil atmosphere, and proximity to natural attractions, making it a welcoming spot for visitors looking to experience authentic Brazilian countryside.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Sul
Population
4,847
Time Zone
America/Sao_Paulo
Coordinates
-27.58°, -51.99°
Key Metrics
Safety Score · estimate
75
Female Safety
65
LGBTQ+ Safety
40
Traffic Safety
70
Food Safety
65
Monthly Cost · estimate
$656
Local Cost
$412
Local Income
$320
Cashless
30
English
25
Temperature
18.6°C
Summer Avg
22.8°C
Winter Avg
13.9°C
Record High
38.5°C
Record Low
-4.2°C
Humidity
81%
Precipitation
1757 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
ERM
Distance
30 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 2026-01-15.
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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