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Ermo
City in Santa Catarina, Brazil
Overview
Ermo is a small, close-knit municipality set in the picturesque countryside of Santa Catarina, Brazil. The town is characterized by its rural charm, welcoming community, and scenic landscapes, making it ideal for those seeking tranquility and authentic local culture.
Geographic Context
Jurisdiction
Brazil
State
Santa Catarina
Population
2,354
Time Zone
America/Sao_Paulo
Coordinates
-28.97°, -49.65°
Key Metrics
Safety Score · estimate
65
Female Safety
62
LGBTQ+ Safety
37
Traffic Safety
55
Food Safety
82
Monthly Cost · estimate
$653
Local Cost
$410
Local Income
$360
Cashless
40
English
18
Temperature
20.3°C
Summer Avg
23.9°C
Winter Avg
16.5°C
Record High
35.9°C
Record Low
5.7°C
Humidity
81%
Precipitation
1403 mm
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
CCM
Distance
35 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 2025-12-08.
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: 36/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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