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Salto do Jacuí
City in Rio Grande do Sul, Brazil
Overview
Salto do Jacuí is a small, riverside town in Rio Grande do Sul renowned for its hydroelectric dam and beautiful natural surroundings. With a relaxed rural vibe and welcoming locals, it's ideal for quiet getaways and ecotourism.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Sul
Population
10,357
Time Zone
America/Sao_Paulo
Coordinates
-29.04°, -53.17°
Key Metrics
Safety Score · estimate
50
Female Safety
50
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
70
Monthly Cost · estimate
$640
Local Cost
$405
Local Income
$320
Cashless
35
English
10
Temperature
18.7°C
Summer Avg
23.5°C
Winter Avg
13.7°C
Record High
38.8°C
Record Low
-3.1°C
Humidity
80%
Precipitation
1681 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Explore
Neighborhoods
Mapped12 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 12 neighborhoodsData 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.
Overture Maps and OpenStreetMap - 12 source-backed neighborhood entities are available for this city. Record updated 2026-03-27.
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: 57/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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