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Califórnia
City in Paraná, Brazil
Overview
Califórnia is a small, charming city set in the interior of Paraná, Brazil, known for its agricultural surroundings and friendly local atmosphere. Visitors can experience authentic rural Brazilian life, with easy access to local festivities and regional cuisine.
Geographic Context
Jurisdiction
Brazil
State
Paraná
Population
8,963
Time Zone
America/Sao_Paulo
Coordinates
-23.66°, -51.33°
Key Metrics
Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
45
Traffic Safety
65
Food Safety
70
Monthly Cost · estimate
$699
Local Cost
$455
Local Income
$350
Cashless
30
English
20
Temperature
21.0°C
Summer Avg
23.9°C
Winter Avg
17.0°C
Record High
39.7°C
Record Low
-1.8°C
Humidity
77%
Precipitation
1517 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
APU
Distance
8 km
Explore
Data 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 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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