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Miraselva
City in Paraná, Brazil
Overview
Miraselva is a small municipality in Paraná, Brazil, blending rural charm with a warm, close-knit community. With just over 2,000 residents, visitors will experience authentic local life alongside beautiful countryside scenery. The town is perfect for travelers seeking relaxation and genuine Brazilian hospitality.
Geographic Context
Jurisdiction
Brazil
State
Paraná
Population
2,017
Time Zone
America/Sao_Paulo
Coordinates
-22.98°, -51.47°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
40
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$638
Local Cost
$355
Local Income
$350
Cashless
25
English
15
Temperature
22.5°C
Summer Avg
25.2°C
Winter Avg
18.5°C
Record High
41.6°C
Record Low
0.4°C
Humidity
75%
Precipitation
1451 mm
City Vibrancy
5
Coworking
0
Cafes
0
Nightlife
0
Parks
5
Transport
0
Walk Score
0
Footways
—
Airport
APX
Distance
42 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 2025-12-08.
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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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