San Lorenzo Tenochtitlán
City in Veracruz de Ignacio de la Llave, Mexico
Overview
San Lorenzo Tenochtitlán is a small village in Veracruz best known as the site of the Olmec archaeological zone, featuring iconic colossal heads. The town is peaceful, surrounded by farmland, and offers an authentic rural Mexican experience with deep historical roots.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
1,037
Time Zone
America/Mexico_City
Coordinates
17.75°, -94.76°
Key Metrics
Safety Score · estimate
48
Female Safety
50
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
62
Monthly Cost · estimate
$460
Local Cost
$272
Local Income
$250
Cashless
12
English
10
Temperature
24.8°C
Summer Avg
26.9°C
Winter Avg
21.1°C
Record High
41.8°C
Record Low
11.4°C
Humidity
83%
Precipitation
1980 mm
Internet Speed
12 Mbps
Upload
18 Mbps
Latency
27 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
MTT
Distance
43 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 2026-03-22.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.