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Sarandi
City in Rio Grande do Sul, Brazil
Overview
Sarandi is a lively mid-sized city in the northern part of Rio Grande do Sul, Brazil, known for its strong agricultural roots, welcoming community, and lively local markets. It offers visitors an authentic small-city experience with a blend of tradition and growing urban development.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Sul
Population
128,106
Time Zone
America/Sao_Paulo
Coordinates
-27.94°, -52.92°
Key Metrics
Safety Score
55
Female Safety
50
LGBTQ+ Safety
40
Traffic Safety
50
Food Safety
75
Monthly Cost
$745
Local Cost
$500
Local Income
$420
Cashless
35
English
20
Temperature
18.7°C
Summer Avg
23.0°C
Winter Avg
13.8°C
Record High
39.1°C
Record Low
-3.9°C
Humidity
81%
Precipitation
1737 mm
Internet Speed
137 Mbps
Upload
134 Mbps
Latency
9 ms
City Vibrancy
10
Coworking
0
Cafes
0
Nightlife
0
Parks
10
Transport
16
Walk Score
16
Footways
31.0
Airport
—
Distance
—
Explore
Neighborhoods
Mapped10 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 10 neighborhoodsFrequently Asked Questions
Data sources
Source-backed data
NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
World Air Quality Index - Latest available city-level air quality station measurement. Updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 113 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-06.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 10 source-backed neighborhood entities are available for this city. Updated 2026-03-21.
Estimated data
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 55/100.
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