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Ipiranga do Sul
City in Rio Grande do Sul, Brazil
Overview
Ipiranga do Sul is a tranquil, close-knit town in northern Rio Grande do Sul, known for its agriculture and scenic rural landscapes. Life here is calm, with traditional values and a warm sense of community. Visitors experience authentic Brazilian small-town charm and hospitality.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Sul
Population
1,748
Time Zone
America/Sao_Paulo
Coordinates
-27.94°, -52.43°
Key Metrics
Safety Score · estimate
75
Female Safety
65
LGBTQ+ Safety
45
Traffic Safety
70
Food Safety
60
Monthly Cost · estimate
$725
Local Cost
$425
Local Income
$280
Cashless
25
English
10
Temperature
18.0°C
Summer Avg
22.2°C
Winter Avg
13.2°C
Record High
37.0°C
Record Low
-4.3°C
Humidity
82%
Precipitation
1751 mm
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
ERM
Distance
35 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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