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San Luis de Sincé
City in Sucre, Colombia
Overview
San Luis de Sincé is a welcoming small town in Sucre, Colombia, offering authentic Caribbean-influenced culture and warm, laid-back charm. It's known for its friendly locals, picturesque streets, and traditional festivals.
Geographic Context
Jurisdiction
Colombia
Department
Sucre
Population
—
Time Zone
America/Bogota
Coordinates
9.24°, -75.15°
Key Metrics
Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$558
Local Cost
$305
Local Income
$180
Cashless
20
English
15
Temperature
28.6°C
Summer Avg
28.3°C
Winter Avg
29.2°C
Record High
42.8°C
Record Low
19.0°C
Humidity
74%
Precipitation
1002 mm
Internet Speed
8 Mbps
Upload
21 Mbps
Latency
35 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
CZU
Distance
18 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 2025-12-09.
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 2026-03-21.
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: 30/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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