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Santa Rosa de Viterbo
City in São Paulo, Brazil
Overview
Santa Rosa de Viterbo is a small, welcoming city in the interior of São Paulo state. It is known for its peaceful pace of life, local festivals, and historical sites, making it a pleasant destination for a relaxed experience.
Geographic Context
Jurisdiction
Brazil
State
São Paulo
Population
23,710
Time Zone
America/Sao_Paulo
Coordinates
-21.47°, -47.36°
Key Metrics
Safety Score
60
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
65
Food Safety
72
Monthly Cost
$693
Local Cost
$432
Local Income
$420
Cashless
55
English
20
Temperature
22.5°C
Summer Avg
23.9°C
Winter Avg
20.0°C
Record High
41.9°C
Record Low
2.8°C
Humidity
71%
Precipitation
1252 mm
Internet Speed
225 Mbps
Upload
191 Mbps
Latency
2 ms
City Vibrancy
30
Coworking
0
Cafes
0
Nightlife
4
Parks
26
Transport
0
Walk Score
0
Footways
—
Airport
QOA
Distance
34 km
Explore
Neighborhoods
PartialCoverage is incomplete — additional neighborhoods are being added as more source data is processed.
Coverage is incomplete — more neighborhoods are being added.
View all 4 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 19 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 - 4 source-backed neighborhood entities are available for this city. Updated 2026-03-23.
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 64/100.
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