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Municipio de Cunén

City in Quiché , Guatemala

Overview

Cunén is a small and welcoming town set in Quiché, Guatemala, known for its indigenous heritage, tranquil rural landscapes, and lively central market. Visitors are drawn to its authentic atmosphere, friendly locals, and scenic mountain backdrop.

Geographic Context

Jurisdiction
Guatemala
Department
Quiché
Population
—
Time Zone
America/Guatemala
Coordinates
15.36°, -91.02°

Key Metrics

Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
40
Food Safety
40
Monthly Cost · estimate
$481
Local Cost
$235
Local Income
$180
Cashless
20
English
20
Temperature
16.6°C
Summer Avg
17.4°C
Winter Avg
14.5°C
Record High
33.1°C
Record Low
0.5°C
Humidity
83%
Precipitation
1597 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
AQB
Distance
42 km

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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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