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Santa Amélia
City in Paraná, Brazil
Overview
Santa Amélia is a small, welcoming town in Paraná, Brazil, known for its friendly community and tranquil rural landscapes. The city offers a slower pace of life, local commerce, and authentic Brazilian countryside experiences. Though compact, it charms with its preserved traditions and warm hospitality.
Geographic Context
Jurisdiction
Brazil
State
Paraná
Population
3,358
Time Zone
America/Sao_Paulo
Coordinates
-23.26°, -50.41°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
30
Traffic Safety
75
Food Safety
60
Monthly Cost · estimate
$592
Local Cost
$343
Local Income
$320
Cashless
20
English
10
Temperature
21.0°C
Summer Avg
24.0°C
Winter Avg
17.1°C
Record High
40.3°C
Record Low
-0.8°C
Humidity
77%
Precipitation
1410 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CKO
Distance
23 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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