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Tlalnelhuayocan
City in Veracruz de Ignacio de la Llave, Mexico
Overview
Tlalnelhuayocan is a tranquil mountain town located just outside Xalapa in Veracruz. With its close-knit community, lush landscapes, and traditional charm, it provides an authentic slice of rural Mexican life. Visitors will appreciate its picturesque scenery, friendly locals, and easygoing pace.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
957
Time Zone
America/Mexico_City
Coordinates
19.57°, -96.98°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
65
Food Safety
60
Monthly Cost · estimate
$600
Local Cost
$350
Local Income
$220
Cashless
30
English
15
Temperature
19.3°C
Summer Avg
21.2°C
Winter Avg
15.8°C
Record High
38.9°C
Record Low
1.2°C
Humidity
78%
Precipitation
1461 mm
Internet Speed
41 Mbps
Upload
14 Mbps
Latency
7 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
JAL
Distance
21 km
Explore
Data sources
Source-backed data
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 2026-03-23.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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