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Lomas de Sargentillo
City in Guayas, Ecuador
Overview
Lomas de Sargentillo is a small town in Guayas, Ecuador, known for its friendly atmosphere and traditional Ecuadorian charm. It offers visitors a glimpse into rural life, with lively local markets and scenic surroundings.
Geographic Context
Jurisdiction
Ecuador
Province
Guayas
Population
—
Time Zone
America/Guayaquil
Coordinates
-1.88°, -80.08°
Key Metrics
Safety Score · estimate
38
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
45
Food Safety
60
Monthly Cost · estimate
$543
Local Cost
$308
Local Income
$320
Cashless
20
English
15
Temperature
27.3°C
Summer Avg
27.4°C
Winter Avg
27.5°C
Record High
41.1°C
Record Low
18.6°C
Humidity
66%
Precipitation
769 mm
Internet Speed
145 Mbps
Upload
135 Mbps
Latency
4 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
6
Walk Score
6
Footways
12.0
Airport
GYE
Distance
38 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 2026-03-22.
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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