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Tras Cerros
City in Santa Bárbara, Honduras
Overview
Tras Cerros is a charming small town set in the mountains of Santa Bárbara, Honduras, offering a tranquil slice of rural life. With lively markets, scenic natural surroundings, and friendly locals, it's perfect for travelers seeking authenticity and outdoor adventure.
Geographic Context
Jurisdiction
Honduras
Department
Santa Bárbara
Population
4,174
Time Zone
America/Tegucigalpa
Coordinates
15.30°, -88.67°
Key Metrics
Safety Score · estimate
35
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
45
Food Safety
55
Monthly Cost · estimate
$491
Local Cost
$252
Local Income
$150
Cashless
20
English
15
Temperature
24.3°C
Summer Avg
25.4°C
Winter Avg
22.2°C
Record High
39.7°C
Record Low
12.8°C
Humidity
85%
Precipitation
1738 mm
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
PBR
Distance
49 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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