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Itarantim

City in Bahia, Brazil

Overview

Itarantim is a small, friendly city in Bahia known for its laid-back rhythm, welcoming locals, and rural charm. Visitors find a blend of modest urban comforts and lush natural surroundings, making it ideal for those seeking an authentic experience in Brazil's countryside.

Geographic Context

Jurisdiction
Brazil
State
Bahia
Population
17,485
Time Zone
America/Sao_Paulo
Coordinates
-15.66°, -40.07°

Key Metrics

Safety Score · estimate
50
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
40
Monthly Cost · estimate
$463
Local Cost
$305
Local Income
$300
Cashless
30
English
20
Temperature
23.9°C
Summer Avg
25.8°C
Winter Avg
21.2°C
Record High
41.2°C
Record Low
11.1°C
Humidity
77%
Precipitation
978 mm
Internet Speed
48 Mbps
Upload
45 Mbps
Latency
4 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2

Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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Data sources

Source-backed data

World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 20 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. 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: 37/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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