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Anitápolis

City in Santa Catarina, Brazil

Overview

Anitápolis is a charming, small town in the heart of Santa Catarina's lush mountains, celebrated for its tranquil rural scenery and welcoming community. It offers visitors a genuine taste of rural Brazilian life, with an emphasis on agriculture, eco-tourism, and local traditions.

Geographic Context

Jurisdiction
Brazil
State
Santa Catarina
Population
3,267
Time Zone
America/Sao_Paulo
Coordinates
-27.90°, -49.13°

Key Metrics

Safety Score · estimate
75
Female Safety
65
LGBTQ+ Safety
40
Traffic Safety
70
Food Safety
80
Monthly Cost · estimate
$542
Local Cost
$318
Local Income
$320
Cashless
35
English
15
Temperature
16.9°C
Summer Avg
20.7°C
Winter Avg
12.9°C
Record High
33.9°C
Record Low
-3.3°C
Humidity
84%
Precipitation
1588 mm
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
2
Walk Score
2
Footways
3.0
Airport
—
Distance
—

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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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