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Municipio de Nahualá

City in Sololá , Guatemala

Overview

Municipio de Nahualá, set in the highlands of Sololá, Guatemala, is a lively K'iche' Maya town known for its traditional culture and stunning natural surroundings. Visitors can immerse themselves in authentic Maya customs, busy markets, and rural Guatemalan charm.

Geographic Context

Jurisdiction
Guatemala
Department
Sololá
Population
—
Time Zone
America/Guatemala
Coordinates
14.78°, -91.42°

Key Metrics

Safety Score · estimate
38
Female Safety
35
LGBTQ+ Safety
22
Traffic Safety
30
Food Safety
32
Monthly Cost · estimate
$411
Local Cost
$283
Local Income
$215
Cashless
8
English
10
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
1
Walk Score
1
Footways
1.0
Airport
AAZ
Distance
14 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 2026-03-21.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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