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Lolotique
City in San Miguel, El Salvador
Overview
Lolotique is a charming rural town in the San Miguel department of El Salvador, known for its close-knit community and scenic countryside surroundings. The city offers visitors a taste of authentic Salvadoran life, with friendly locals and easy access to nearby natural attractions.
Geographic Context
Jurisdiction
El Salvador
Department
San Miguel
Population
15,007
Time Zone
America/El_Salvador
Coordinates
13.55°, -88.35°
Key Metrics
Safety Score · estimate
50
Female Safety
45
LGBTQ+ Safety
30
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$542
Local Cost
$290
Local Income
$270
Cashless
20
English
20
Temperature
27.1°C
Summer Avg
27.1°C
Winter Avg
26.8°C
Record High
39.9°C
Record Low
14.6°C
Humidity
68%
Precipitation
1271 mm
Internet Speed
198 Mbps
Upload
31 Mbps
Latency
6 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Explore
Neighborhoods
EstimatedNeighborhood highlights with vibe, safety, and cost profiles.
View featured neighborhoodsData 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.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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