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San Nicolás
City in Copán, Honduras
Overview
San Nicolás is a small and welcoming town in the Copán department of Honduras, known for its tranquil pace, friendly locals, and traditional Honduran charm. The town is surrounded by scenic hills and offers visitors a glimpse into everyday rural life, local markets, and community culture.
Geographic Context
Jurisdiction
Honduras
Department
Copán
Population
7,553
Time Zone
America/Tegucigalpa
Coordinates
14.98°, -88.73°
Key Metrics
Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
50
Food Safety
50
Monthly Cost · estimate
$545
Local Cost
$307
Local Income
$200
Cashless
20
English
20
Temperature
22.2°C
Summer Avg
23.2°C
Winter Avg
20.0°C
Record High
38.5°C
Record Low
9.1°C
Humidity
84%
Precipitation
1416 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
RUY
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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