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San Fernando de Atabapo
City in Amazonas, Venezuela
Overview
San Fernando de Atabapo is a remote yet charming town located at the confluence of the Orinoco and Atabapo rivers in Venezuela's Amazonas region. Known for its indigenous heritage and riverside lifestyle, the town offers a glimpse into life in the Amazon basin.
Geographic Context
Jurisdiction
Venezuela
State
Amazonas
Population
4,200
Time Zone
America/Caracas
Coordinates
4.05°, -67.70°
Key Metrics
Safety Score · estimate
30
Female Safety
38
LGBTQ+ Safety
22
Traffic Safety
35
Food Safety
30
Monthly Cost · estimate
$503
Local Cost
$234
Local Income
$30
Cashless
10
English
5
Temperature
26.0°C
Summer Avg
25.1°C
Winter Avg
26.6°C
Record High
40.8°C
Record Low
19.5°C
Humidity
88%
Precipitation
2198 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
PDA
Distance
31 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: 47/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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