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Sixaola

City in Limón, Costa Rica

Overview

Sixaola is a small town in Costa Rica's Limón province, famed for its international border crossing with Panama. Its lush surroundings and rural charm make it a unique stop for travelers exploring the Caribbean coast.

Geographic Context

Jurisdiction
Costa Rica
Province
Limón
Population
13,961
Time Zone
America/Costa_Rica
Coordinates
9.53°, -82.62°

Key Metrics

Safety Score · estimate
52
Female Safety
48
LGBTQ+ Safety
50
Traffic Safety
40
Food Safety
45
Monthly Cost · estimate
$695
Local Cost
$374
Local Income
$440
Cashless
30
English
20
Temperature
25.0°C
Summer Avg
25.4°C
Winter Avg
24.3°C
Record High
30.7°C
Record Low
21.1°C
Humidity
86%
Precipitation
2685 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CHX
Distance
14 km

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.
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 2025-12-06.

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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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