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Illapel
City in Coquimbo, Chile
Overview
Illapel is a tranquil city set within Chile's Coquimbo Region, known for its friendly small-town atmosphere and scenic Andean foothills. It is a commercial hub for neighboring rural communities and is noted for agricultural products and mining activity.
Geographic Context
Jurisdiction
Chile
Region
Coquimbo
Population
20,751
Time Zone
America/Santiago
Coordinates
-31.63°, -71.17°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
45
Traffic Safety
70
Food Safety
85
Monthly Cost · estimate
$853
Local Cost
$490
Local Income
$450
Cashless
40
English
20
Temperature
15.8°C
Summer Avg
19.8°C
Winter Avg
11.7°C
Record High
31.1°C
Record Low
-0.6°C
Humidity
53%
Precipitation
195 mm
Internet Speed
378 Mbps
Upload
320 Mbps
Latency
14 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
26
Walk Score
26
Footways
52.0
Airport
—
Distance
—
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 2025-12-06.
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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