Martínez de la Torre
City in Veracruz de Ignacio de la Llave, Mexico
Overview
Martínez de la Torre is a lively mid-sized city in northern Veracruz, known for its agricultural economy, especially citrus production. Visitors enjoy a mix of urban conveniences, local culture, and proximity to natural attractions like rivers and nearby waterfalls.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
60,074
Time Zone
America/Mexico_City
Coordinates
20.07°, -97.06°
Key Metrics
Safety Score · estimate
50
Female Safety
50
LGBTQ+ Safety
40
Traffic Safety
45
Food Safety
45
Monthly Cost · estimate
$723
Local Cost
$440
Local Income
$350
Cashless
35
English
20
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
57 Mbps
Upload
43 Mbps
Latency
13 ms
City Vibrancy
71
Coworking
0
Cafes
6
Nightlife
13
Parks
52
Transport
3
Walk Score
3
Footways
5.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.