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Ocozotepec

City in Veracruz de Ignacio de la Llave, Mexico

Overview

Ocozotepec is a small, picturesque town set in the mountains of Veracruz. It is known for its traditional atmosphere, local markets, and scenic natural surroundings, offering genuine Mexican rural charm.

Geographic Context

Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
—
Time Zone
America/Mexico_City
Coordinates
18.26°, -94.91°

Key Metrics

Safety Score · estimate
35
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
45
Monthly Cost · estimate
$500
Local Cost
$300
Local Income
$180
Cashless
20
English
15
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
0 Mbps
Latency
130 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
MTT
Distance
39 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 3 tests. Record updated 2025-12-05.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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