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Moncagua
City in San Miguel, El Salvador
Overview
Moncagua, set in the San Miguel department of eastern El Salvador, is known for its natural thermal springs and relaxed town atmosphere. With a blend of traditional charm and scenic landscapes, it offers a glimpse of authentic Salvadoran small-town life. Local markets, friendly residents, and cultural events give the city a welcoming spirit.
Geographic Context
Jurisdiction
El Salvador
Department
San Miguel
Population
24,167
Time Zone
America/El_Salvador
Coordinates
13.53°, -88.25°
Key Metrics
Safety Score · estimate
40
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
50
Monthly Cost · estimate
$570
Local Cost
$280
Local Income
$320
Cashless
25
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
41 Mbps
Upload
8 Mbps
Latency
5 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
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: 53/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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