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Barra de São Miguel
City in Alagoas, Brazil
Overview
Barra de São Miguel is a small, laid-back coastal town in Alagoas, Brazil, renowned for its clear turquoise waters, natural pools, and stunning beaches. The town offers a relaxed atmosphere, making it perfect for families, couples, and those seeking a break from urban bustle.
Geographic Context
Jurisdiction
Brazil
State
Alagoas
Population
8,123
Time Zone
America/Sao_Paulo
Coordinates
-9.81°, -35.96°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
65
Food Safety
65
Monthly Cost · estimate
$915
Local Cost
$530
Local Income
$300
Cashless
25
English
10
Temperature
26.0°C
Summer Avg
27.3°C
Winter Avg
24.1°C
Record High
37.2°C
Record Low
19.1°C
Humidity
75%
Precipitation
1030 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
MCZ
Distance
38 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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