Gramado dos Loureiros
City in Rio Grande do Sul, Brazil
Overview
Gramado dos Loureiros is a small and welcoming municipality set in the rolling hills of northern Rio Grande do Sul. Known for its serene countryside, friendly locals, and strong agricultural heritage, the town exudes classic gaucho charm.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Sul
Population
2,047
Time Zone
America/Sao_Paulo
Coordinates
-27.45°, -52.92°
Key Metrics
Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
45
Traffic Safety
65
Food Safety
75
Monthly Cost · estimate
$678
Local Cost
$405
Local Income
$420
Cashless
35
English
15
Temperature
19.7°C
Summer Avg
24.1°C
Winter Avg
14.7°C
Record High
40.0°C
Record Low
-3.8°C
Humidity
79%
Precipitation
1772 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
XAP
Distance
44 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 2025-12-08.
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: 54/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.