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Águas de Chapecó
City in Santa Catarina, Brazil
Overview
Águas de Chapecó is a small spa town in western Santa Catarina, known for its hot mineral springs and tranquil rural ambience. Its infrastructure is geared towards wellness tourism, but the town retains an authentic, laid-back atmosphere and beautiful countryside surroundings.
Geographic Context
Jurisdiction
Brazil
State
Santa Catarina
Population
6,123
Time Zone
America/Sao_Paulo
Coordinates
-27.07°, -52.96°
Key Metrics
Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
38
Traffic Safety
68
Food Safety
70
Monthly Cost · estimate
$682
Local Cost
$382
Local Income
$330
Cashless
38
English
20
Temperature
19.9°C
Summer Avg
24.3°C
Winter Avg
15.0°C
Record High
40.0°C
Record Low
-3.7°C
Humidity
80%
Precipitation
1787 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
XAP
Distance
31 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: 52/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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