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Arroio do Tigre

City in Rio Grande do Sul, Brazil

Overview

Arroio do Tigre is a small, welcoming town set in the interior of Rio Grande do Sul, Brazil. With a strong agricultural background, it offers visitors a genuine rural ambiance and warm community life. Its charming neighborhoods, green landscapes, and local traditions make it a peaceful destination off the beaten path.

Geographic Context

Jurisdiction
Brazil
State
Rio Grande do Sul
Population
12,291
Time Zone
America/Sao_Paulo
Coordinates
-29.26°, -53.06°

Key Metrics

Safety Score · estimate
65
Female Safety
58
LGBTQ+ Safety
34
Traffic Safety
72
Food Safety
72
Monthly Cost · estimate
$702
Local Cost
$395
Local Income
$410
Cashless
40
English
18
Temperature
18.3°C
Summer Avg
23.1°C
Winter Avg
13.3°C
Record High
39.4°C
Record Low
-3.4°C
Humidity
81%
Precipitation
1609 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0

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.
Overture Maps and OpenStreetMap - 18 source-backed neighborhood entities are available for this city. Record updated 2026-03-26.

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: 53/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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