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Alecrim
City in Rio Grande do Sul, Brazil
Overview
Alecrim is a small, tight-knit town in the northwestern part of Rio Grande do Sul, Brazil, known for its agricultural roots and welcoming community. Visitors will find a relaxed rural ambiance combined with typical southern Brazilian charm.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Sul
Population
6,219
Time Zone
America/Sao_Paulo
Coordinates
-27.66°, -54.76°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
50
Traffic Safety
70
Food Safety
80
Monthly Cost · estimate
$717
Local Cost
$500
Local Income
$350
Cashless
30
English
20
Temperature
20.5°C
Summer Avg
25.4°C
Winter Avg
15.2°C
Record High
40.5°C
Record Low
-3.2°C
Humidity
78%
Precipitation
1723 mm
City Vibrancy
6
Coworking
0
Cafes
0
Nightlife
0
Parks
6
Transport
1
Walk Score
1
Footways
2.0
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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