Paso de Valencia
City in Veracruz de Ignacio de la Llave, Mexico
Overview
Paso de Valencia is a small, authentic town in Veracruz de Ignacio de la Llave, offering visitors a taste of traditional Mexican life. With its friendly residents, lively markets, and surrounding countryside, it's an inviting destination for those seeking off-the-beaten-path experiences.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
—
Time Zone
America/Mexico_City
Coordinates
20.27°, -97.33°
Key Metrics
Safety Score · estimate
35
Female Safety
35
LGBTQ+ Safety
30
Traffic Safety
40
Food Safety
45
Monthly Cost · estimate
$708
Local Cost
$410
Local Income
$270
Cashless
20
English
15
Temperature
24.0°C
Summer Avg
27.0°C
Winter Avg
19.5°C
Record High
47.4°C
Record Low
-0.7°C
Humidity
77%
Precipitation
1499 mm
Internet Speed
22 Mbps
Upload
22 Mbps
Latency
35 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
PAZ
Distance
39 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: 30/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.