Totutla

City in Veracruz de Ignacio de la Llave, Mexico

Overview

Totutla is a small town in the central highlands of Veracruz, blending rich traditions and lively community life. Surrounded by lush mountains and coffee plantations, it's ideal for experiencing authentic rural Mexico.

Geographic Context

Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
17,428
Time Zone
America/Mexico_City
Coordinates
19.21°, -96.96°

Key Metrics

Safety Score · estimate
58
Female Safety
55
LGBTQ+ Safety
45
Traffic Safety
60
Food Safety
70
Monthly Cost · estimate
$530
Local Cost
$340
Local Income
$360
Cashless
30
English
20
Temperature
19.2°C
Summer Avg
21.0°C
Winter Avg
15.9°C
Record High
39.8°C
Record Low
1.4°C
Humidity
79%
Precipitation
1402 mm
Internet Speed
29 Mbps
Upload
58 Mbps
Latency
33 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
JAL
Distance
34 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 7 tests. Record updated 2025-12-05.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.