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Municipio de Mataquescuintla
City in Jalapa , Guatemala
Overview
Mataquescuintla is a charming municipality set in the hills of Jalapa, Guatemala, offering authentic rural life and picturesque landscapes. The town is known for its strong community spirit, busy local markets, and ties to agricultural traditions.
Geographic Context
Jurisdiction
Guatemala
Department
Jalapa
Population
—
Time Zone
America/Guatemala
Coordinates
14.55°, -90.20°
Key Metrics
Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
25
Traffic Safety
45
Food Safety
40
Monthly Cost · estimate
$576
Local Cost
$267
Local Income
$250
Cashless
15
English
20
Temperature
21.4°C
Summer Avg
21.9°C
Winter Avg
19.7°C
Record High
37.1°C
Record Low
7.2°C
Humidity
79%
Precipitation
1207 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
GUA
Distance
35 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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