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Santo Ângelo
City in Rio Grande do Sul, Brazil
Overview
Santo Ângelo is a charming city in the northwestern part of Rio Grande do Sul, renowned for its Jesuit mission heritage and welcoming community. The city offers a unique blend of history, green spaces, and laid-back Brazilian hospitality. Its compact size makes it easy to explore on foot or by bike.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Sul
Population
76,917
Time Zone
America/Sao_Paulo
Coordinates
-28.30°, -54.26°
Key Metrics
Safety Score
70
Female Safety
65
LGBTQ+ Safety
45
Traffic Safety
60
Food Safety
82
Monthly Cost
$806
Local Cost
$417
Local Income
$425
Cashless
60
English
30
Temperature
19.5°C
Summer Avg
24.7°C
Winter Avg
14.0°C
Record High
41.6°C
Record Low
-3.7°C
Humidity
79%
Precipitation
1704 mm
Internet Speed
196 Mbps
Upload
120 Mbps
Latency
13 ms
City Vibrancy
24
Coworking
0
Cafes
2
Nightlife
2
Parks
20
Transport
0
Walk Score
0
Footways
—
Airport
GEL
Distance
9 km
Explore
Neighborhoods
Mapped14 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 14 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 77 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 2025-12-05.
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 - 14 source-backed neighborhood entities are available for this city. Updated 2026-04-04.
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 80/100.
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