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Frederico Westphalen
City in Rio Grande do Sul, Brazil
Overview
Frederico Westphalen is a charming small city in northern Rio Grande do Sul, known for its friendly community and scenic countryside surroundings. Its lively downtown and relaxed pace make it ideal for those seeking an authentic Brazilian experience off the main tourist trail.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Sul
Population
32,627
Time Zone
America/Sao_Paulo
Coordinates
-27.36°, -53.39°
Key Metrics
Safety Score
65
Female Safety
70
LGBTQ+ Safety
50
Traffic Safety
60
Food Safety
75
Monthly Cost
$817
Local Cost
$461
Local Income
$450
Cashless
40
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
Internet Speed
131 Mbps
Upload
89 Mbps
Latency
7 ms
City Vibrancy
14
Coworking
0
Cafes
2
Nightlife
4
Parks
8
Transport
8
Walk Score
8
Footways
15.0
Airport
—
Distance
—
Explore
Neighborhoods
Mapped20 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 20 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 81 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 - 20 source-backed neighborhood entities are available for this city. Updated 2026-03-22.
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 70/100.
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