Carmen Zacatal

City in Chiapas, Mexico

Overview

Carmen Zacatal is a small, welcoming town in Chiapas renowned for its friendly residents and scenic rural surroundings. The town provides a real slice of local Mexican life, from the traditional market to quiet neighborhoods and beautiful countryside. It offers an authentic alternative to busier destinations in the region.

Geographic Context

Jurisdiction
Mexico
State
Chiapas
Population
2,579
Time Zone
America/Mexico_City
Coordinates
17.08°, -92.80°

Key Metrics

Safety Score · estimate
60
Female Safety
50
LGBTQ+ Safety
40
Traffic Safety
60
Food Safety
50
Monthly Cost · estimate
$654
Local Cost
$358
Local Income
$350
Cashless
20
English
15
Temperature
19.2°C
Summer Avg
20.8°C
Winter Avg
16.6°C
Record High
37.0°C
Record Low
3.1°C
Humidity
83%
Precipitation
1930 mm
Internet Speed
29 Mbps
Upload
10 Mbps
Latency
71 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0

Data sources

Source-backed data

World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 8 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.

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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.