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Misantla
City in Veracruz de Ignacio de la Llave, Mexico
Overview
Misantla is a charming mid-sized city set in the lush hills of northern Veracruz, rich in indigenous heritage and colonial history. Its lively markets, scenic surroundings, and welcoming locals make it an inviting destination for travelers seeking an authentic Mexican experience.
Geographic Context
Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
64,249
Time Zone
America/Mexico_City
Coordinates
19.93°, -96.85°
Key Metrics
Safety Score · estimate
50
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
40
Food Safety
65
Monthly Cost · estimate
$684
Local Cost
$420
Local Income
$350
Cashless
30
English
15
Temperature
21.9°C
Summer Avg
24.5°C
Winter Avg
18.0°C
Record High
38.5°C
Record Low
1.0°C
Humidity
80%
Precipitation
1650 mm
Internet Speed
60 Mbps
Upload
39 Mbps
Latency
12 ms
City Vibrancy
15
Coworking
0
Cafes
1
Nightlife
0
Parks
14
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 2025-12-06.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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