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Municipio de Almolonga
City in Quetzaltenango , Guatemala
Overview
Municipio de Almolonga is a small yet lively town in Guatemala's Quetzaltenango region, famed for its remarkably productive vegetable fields and busy rural markets. Surrounded by green mountains, Almolonga offers an authentic glimpse into highland Guatemalan culture and rural life.
Geographic Context
Jurisdiction
Guatemala
Department
Quetzaltenango
Population
—
Time Zone
America/Guatemala
Coordinates
14.81°, -91.48°
Key Metrics
Safety Score · estimate
55
Female Safety
50
LGBTQ+ Safety
35
Traffic Safety
45
Food Safety
45
Monthly Cost · estimate
$447
Local Cost
$252
Local Income
$270
Cashless
25
English
15
Temperature
15.3°C
Summer Avg
16.0°C
Winter Avg
13.7°C
Record High
29.5°C
Record Low
2.3°C
Humidity
83%
Precipitation
1857 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
AAZ
Distance
6 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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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