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San Fernando
City in Veracruz de Ignacio de la Llave, Mexico
Overview
San Fernando is a small, charming city in Veracruz, Mexico, known for its slower pace, lively local culture, and riverside beauty. Though not a busy tourist destination, it offers an authentic glimpse into regional Mexican life and local community traditions.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
29,665
Time Zone
America/Mexico_City
Coordinates
18.27°, -94.88°
Key Metrics
Safety Score · estimate
40
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
50
Monthly Cost · estimate
$868
Local Cost
$431
Local Income
$300
Cashless
25
English
20
Temperature
25.3°C
Summer Avg
27.4°C
Winter Avg
22.0°C
Record High
37.9°C
Record Low
14.9°C
Humidity
83%
Precipitation
2138 mm
Internet Speed
1 Mbps
Upload
2 Mbps
Latency
108 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
MTT
Distance
37 km
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 2025-12-05.
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: 58/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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