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Santiago de la Peña
City in Veracruz de Ignacio de la Llave, Mexico
Overview
Santiago de la Peña is a tranquil riverside town in Veracruz, Mexico, known for its warm community, colonial charm, and scenic setting along the Pánuco River. The city offers a relaxed atmosphere, authentic local culture, and easy access to natural attractions.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
—
Time Zone
America/Mexico_City
Coordinates
20.95°, -97.40°
Key Metrics
Safety Score · estimate
48
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
55
Monthly Cost · estimate
$928
Local Cost
$488
Local Income
$300
Cashless
22
English
20
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
106 Mbps
Upload
52 Mbps
Latency
9 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: 47/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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