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São Joaquim
City in Santa Catarina, Brazil
Overview
São Joaquim is a picturesque mountain town in Santa Catarina renowned for its apple orchards and distinct cold climate. It balances rural charm with the conveniences of a small city, attracting visitors with its natural beauty and local culture.
Geographic Context
Jurisdiction
Brazil
State
Santa Catarina
Population
25,939
Time Zone
America/Sao_Paulo
Coordinates
-28.29°, -49.93°
Key Metrics
Safety Score · estimate
67
Female Safety
62
LGBTQ+ Safety
48
Traffic Safety
77
Food Safety
72
Monthly Cost · estimate
$725
Local Cost
$465
Local Income
$405
Cashless
54
English
18
Temperature
15.4°C
Summer Avg
19.3°C
Winter Avg
11.3°C
Record High
31.9°C
Record Low
-5.7°C
Humidity
85%
Precipitation
1657 mm
Internet Speed
191 Mbps
Upload
56 Mbps
Latency
6 ms
City Vibrancy
9
Coworking
0
Cafes
1
Nightlife
0
Parks
8
Transport
27
Walk Score
27
Footways
53.0
Airport
—
Distance
—
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 2025-12-06.
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: 64/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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