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San Francisco de Ojuera
City in Santa Bárbara, Honduras
Overview
San Francisco de Ojuera is a charming small town set in the foothills of Santa Bárbara, Honduras. Known for its friendly residents, colonial architecture, and surrounding natural beauty, it offers visitors an authentic taste of rural Honduran life.
Geographic Context
Jurisdiction
Honduras
Department
Santa Bárbara
Population
7,000
Time Zone
America/Tegucigalpa
Coordinates
14.67°, -88.21°
Key Metrics
Safety Score · estimate
40
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$544
Local Cost
$258
Local Income
$250
Cashless
15
English
20
Temperature
21.1°C
Summer Avg
21.7°C
Winter Avg
19.4°C
Record High
36.9°C
Record Low
7.9°C
Humidity
79%
Precipitation
1244 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
LEZ
Distance
42 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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