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São João
City in Paraná, Brazil
Overview
São João is a small but lively city in the interior of Paraná, Brazil, known for its strong sense of community and typical Paranaense hospitality. Visitors will find a blend of traditional Brazilian life, peaceful parks, and understated charm, away from the bustle of larger cities.
Geographic Context
Jurisdiction
Brazil
State
Paraná
Population
24,895
Time Zone
America/Sao_Paulo
Coordinates
-25.78°, -52.80°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
55
Food Safety
65
Monthly Cost · estimate
$713
Local Cost
$425
Local Income
$400
Cashless
40
English
15
Temperature
19.0°C
Summer Avg
22.8°C
Winter Avg
14.5°C
Record High
36.3°C
Record Low
-4.2°C
Humidity
81%
Precipitation
1686 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
FBE
Distance
40 km
Explore
Neighborhoods
EstimatedNeighborhood highlights with vibe, safety, and cost profiles.
View featured neighborhoodsData 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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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