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San Luis de Palenque
City in Casanare, Colombia
Overview
San Luis de Palenque is a small riverside town in Casanare, Colombia, known for its tranquil pace and gateway access to the Llanos' impressive wildlife. Its friendly community and traditional charm provide an authentic Colombian experience.
Geographic Context
Jurisdiction
Colombia
Department
Casanare
Population
7,415
Time Zone
America/Bogota
Coordinates
5.42°, -71.73°
Key Metrics
Safety Score · estimate
50
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$440
Local Cost
$280
Local Income
$250
Cashless
20
English
10
Temperature
26.4°C
Summer Avg
25.0°C
Winter Avg
27.7°C
Record High
40.4°C
Record Low
18.7°C
Humidity
75%
Precipitation
1903 mm
Internet Speed
8 Mbps
Upload
8 Mbps
Latency
13 ms
City Vibrancy
5
Coworking
0
Cafes
0
Nightlife
0
Parks
5
Transport
69
Walk Score
69
Footways
137.0
Airport
SQE
Distance
1 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: 58/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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