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Alegria
City in Rio Grande do Sul, Brazil
Overview
Alegria is a picturesque small town in Rio Grande do Sul, surrounded by lush countryside and rooted in rural traditions. Its friendly community, tranquil atmosphere, and scenic landscapes make it an inviting retreat for those seeking a slower pace of life.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Sul
Population
3,705
Time Zone
America/Sao_Paulo
Coordinates
-27.80°, -54.06°
Key Metrics
Safety Score · estimate
76
Female Safety
72
LGBTQ+ Safety
55
Traffic Safety
70
Food Safety
78
Monthly Cost · estimate
$611
Local Cost
$414
Local Income
$330
Cashless
34
English
18
Temperature
19.0°C
Summer Avg
23.6°C
Winter Avg
14.0°C
Record High
40.0°C
Record Low
-3.7°C
Humidity
80%
Precipitation
1734 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
HRZ
Distance
33 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: 61/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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