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Túxpam de Rodríguez Cano
City in Veracruz de Ignacio de la Llave, Mexico
Overview
Túxpam de Rodríguez Cano is a lively city located along the banks of the Tuxpam River in northern Veracruz. Known for its riverside promenades, access to the Gulf of Mexico, and welcoming atmosphere, the city blends natural beauty with a touch of colonial charm.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
—
Time Zone
America/Mexico_City
Coordinates
20.96°, -97.41°
Key Metrics
Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
45
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$960
Local Cost
$542
Local Income
$340
Cashless
35
English
25
Temperature
24.5°C
Summer Avg
27.7°C
Winter Avg
20.0°C
Record High
45.5°C
Record Low
2.4°C
Humidity
79%
Precipitation
1307 mm
Internet Speed
71 Mbps
Upload
54 Mbps
Latency
15 ms
City Vibrancy
7
Coworking
0
Cafes
1
Nightlife
0
Parks
6
Transport
0
Walk Score
0
Footways
—
Airport
PAZ
Distance
40 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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