Santiago Tuxtla

City in Veracruz de Ignacio de la Llave, Mexico

Overview

Santiago Tuxtla is a charming small city located in southern Veracruz, renowned for its Olmec heritage and lush tropical scenery. Visitors enjoy its rich history, local culture, and welcoming pace of life.

Geographic Context

Jurisdiction
Mexico
State
Veracruz de Ignacio de la Llave
Population
15,459
Time Zone
America/Mexico_City
Coordinates
18.47°, -95.30°

Key Metrics

Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
60
Food Safety
55
Monthly Cost · estimate
$685
Local Cost
$330
Local Income
$300
Cashless
25
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
101 Mbps
Upload
96 Mbps
Latency
13 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
11
Walk Score
11
Footways
21.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 248 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 2025-12-06.

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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.