Aquila
City in Veracruz de Ignacio de la Llave, Mexico
Overview
Aquila is a picturesque mountain town in central Veracruz, Mexico, known for its tranquil pace, friendly locals, and beautiful rural surroundings. Visitors will find a handful of traditional architecture, lively festivals, and easy access to hiking trails around the town.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
1,924
Time Zone
America/Mexico_City
Coordinates
18.79°, -97.32°
Key Metrics
Safety Score · estimate
42
Female Safety
48
LGBTQ+ Safety
35
Traffic Safety
65
Food Safety
60
Monthly Cost · estimate
$520
Local Cost
$332
Local Income
$220
Cashless
15
English
20
Temperature
13.7°C
Summer Avg
15.0°C
Winter Avg
10.9°C
Record High
30.9°C
Record Low
-4.1°C
Humidity
74%
Precipitation
977 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TCN
Distance
34 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 2025-12-08.
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: 64/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.