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Salvador do Sul
City in Rio Grande do Sul, Brazil
Overview
Salvador do Sul is a quaint and welcoming small town in Rio Grande do Sul, Brazil, set amidst rolling hills and lush countryside. It is known for its rural charm, cultural festivities, and friendly local community.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Sul
Population
7,184
Time Zone
America/Sao_Paulo
Coordinates
-29.48°, -51.51°
Key Metrics
Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
45
Traffic Safety
78
Food Safety
80
Monthly Cost · estimate
$801
Local Cost
$442
Local Income
$420
Cashless
45
English
25
Temperature
18.7°C
Summer Avg
23.2°C
Winter Avg
14.0°C
Record High
39.5°C
Record Low
-2.1°C
Humidity
81%
Precipitation
1574 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BGV
Distance
37 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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