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Prudentópolis
City in Paraná, Brazil
Overview
Prudentópolis is a picturesque town in Paraná known for its dramatic waterfalls and strong Ukrainian heritage. With a welcoming community, charming streets, and lush natural surroundings, it offers a unique blend of culture and eco-tourism.
Geographic Context
Jurisdiction
Brazil
State
Paraná
Population
49,393
Time Zone
America/Sao_Paulo
Coordinates
-25.21°, -50.98°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
38
Traffic Safety
65
Food Safety
70
Monthly Cost · estimate
$750
Local Cost
$427
Local Income
$410
Cashless
45
English
20
Temperature
18.6°C
Summer Avg
21.9°C
Winter Avg
14.5°C
Record High
34.0°C
Record Low
-4.0°C
Humidity
82%
Precipitation
1620 mm
Internet Speed
175 Mbps
Upload
170 Mbps
Latency
7 ms
City Vibrancy
10
Coworking
0
Cafes
1
Nightlife
1
Parks
8
Transport
15
Walk Score
15
Footways
29.0
Airport
—
Distance
—
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 2025-12-06.
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: 44/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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