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Ampére
City in Paraná, Brazil
Overview
Ampére is a welcoming small city set in southwestern Paraná, Brazil, known for its quiet charm and close-knit community feel. It boasts green parks, friendly local shops, and relaxed streets, making it an ideal spot for travelers seeking authenticity in the Brazilian interior.
Geographic Context
Jurisdiction
Brazil
State
Paraná
Population
20,337
Time Zone
America/Sao_Paulo
Coordinates
-25.91°, -53.49°
Key Metrics
Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
40
Traffic Safety
65
Food Safety
80
Monthly Cost · estimate
$813
Local Cost
$425
Local Income
$430
Cashless
25
English
15
Temperature
20.4°C
Summer Avg
24.5°C
Winter Avg
15.7°C
Record High
38.5°C
Record Low
-2.1°C
Humidity
78%
Precipitation
1696 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
FBE
Distance
46 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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