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Salvador das Missões
City in Rio Grande do Sul, Brazil
Overview
Salvador das Missões is a small, friendly municipality in Rio Grande do Sul, Brazil, with deep German-Brazilian roots and a tranquil rural ambiance. The town's scenic surroundings, traditional events, and close community offer visitors a welcoming retreat into southern Brazilian culture.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Sul
Population
2,955
Time Zone
America/Sao_Paulo
Coordinates
-28.08°, -54.83°
Key Metrics
Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
75
Food Safety
58
Monthly Cost · estimate
$683
Local Cost
$440
Local Income
$420
Cashless
20
English
15
Temperature
20.4°C
Summer Avg
25.6°C
Winter Avg
14.8°C
Record High
42.1°C
Record Low
-3.6°C
Humidity
79%
Precipitation
1702 mm
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
SRA
Distance
36 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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