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Francisco de Orellana Canton
City in Orellana, Ecuador
Overview
Francisco de Orellana Canton, also known as Coca, is the main gateway to Ecuador's Amazon rainforest. It buzzes with river activity, rich biodiversity, and a blend of indigenous and modern cultures. With its relaxed vibe and riverside location, it is a hub for ecotourism and adventure.
Geographic Context
Jurisdiction
Ecuador
Province
Orellana
Population
95,130
Time Zone
America/Guayaquil
Coordinates
-0.47°, -76.97°
Key Metrics
Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
35
Food Safety
60
Monthly Cost · estimate
$850
Local Cost
$450
Local Income
$330
Cashless
25
English
20
Temperature
24.7°C
Summer Avg
25.1°C
Winter Avg
23.9°C
Record High
37.9°C
Record Low
16.6°C
Humidity
86%
Precipitation
2357 mm
City Vibrancy
5
Coworking
0
Cafes
0
Nightlife
0
Parks
5
Transport
0
Walk Score
0
Footways
—
Airport
OCC
Distance
3 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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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