Yecuatla
City in Veracruz de Ignacio de la Llave, Mexico
Overview
Yecuatla is a small, welcoming town set in the lush mountains of Veracruz. It has a strong local culture shaped by indigenous Nahua roots and offers a laid-back atmosphere with charming nature and traditional festivities. Visitors will find friendly locals and authentic Mexican countryside experiences.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
12,108
Time Zone
America/Mexico_City
Coordinates
19.87°, -96.78°
Key Metrics
Safety Score · estimate
50
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
45
Monthly Cost · estimate
$485
Local Cost
$267
Local Income
$250
Cashless
15
English
10
Temperature
21.9°C
Summer Avg
24.5°C
Winter Avg
18.0°C
Record High
38.5°C
Record Low
1.0°C
Humidity
80%
Precipitation
1650 mm
Internet Speed
86 Mbps
Upload
62 Mbps
Latency
39 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
3
Walk Score
3
Footways
6.0
Airport
JAL
Distance
44 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.