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Castelo

City in Espírito Santo, Brazil

Overview

Castelo is a charming town set in the lush mountainous region of Espírito Santo. Known for its tranquil setting, friendly locals, and access to outdoor adventures, Castelo offers an authentic experience of Brazil's countryside. Though small, it is rich in local culture and natural beauty.

Geographic Context

Jurisdiction
Brazil
State
Espírito Santo
Population
—
Time Zone
America/Sao_Paulo
Coordinates
-20.60°, -41.18°

Key Metrics

Safety Score · estimate
60
Female Safety
58
LGBTQ+ Safety
35
Traffic Safety
63
Food Safety
68
Monthly Cost · estimate
$713
Local Cost
$410
Local Income
$320
Cashless
35
English
20
Temperature
21.2°C
Summer Avg
23.1°C
Winter Avg
18.6°C
Record High
39.0°C
Record Low
7.1°C
Humidity
79%
Precipitation
1200 mm
City Vibrancy
11
Coworking
0
Cafes
0
Nightlife
8
Parks
3
Transport
0
Walk Score
0
Footways
—
Airport
CDI
Distance
26 km

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 2025-12-09.
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 2026-03-23.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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