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Tempoal de Sánchez
City in Veracruz de Ignacio de la Llave, Mexico
Overview
Tempoal de Sánchez is a small, lively town in northern Veracruz, celebrated for its Nahua heritage and lively community festivals. Life here centers on the main plaza and traditional customs, making it an excellent window into rural Mexican culture.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
12,526
Time Zone
America/Mexico_City
Coordinates
21.52°, -98.39°
Key Metrics
Safety Score · estimate
40
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
50
Food Safety
35
Monthly Cost · estimate
$599
Local Cost
$395
Local Income
$220
Cashless
20
English
15
Temperature
24.1°C
Summer Avg
27.7°C
Winter Avg
18.9°C
Record High
48.0°C
Record Low
0.7°C
Humidity
77%
Precipitation
1251 mm
Internet Speed
60 Mbps
Upload
61 Mbps
Latency
26 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
2.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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