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Sede Nova
City in Rio Grande do Sul, Brazil
Overview
Sede Nova is a tranquil small town set in the countryside of Rio Grande do Sul, Brazil. Known for its friendly community and rural charm, it offers visitors an authentic experience of gaucho culture away from the bustle of large cities.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Sul
Population
2,750
Time Zone
America/Sao_Paulo
Coordinates
-27.64°, -53.96°
Key Metrics
Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
70
Food Safety
65
Monthly Cost · estimate
$511
Local Cost
$462
Local Income
$300
Cashless
25
English
15
Temperature
19.6°C
Summer Avg
24.1°C
Winter Avg
14.5°C
Record High
40.9°C
Record Low
-3.8°C
Humidity
80%
Precipitation
1742 mm
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
HRZ
Distance
37 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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