El Copalar
City in Chiapas, Mexico
Overview
El Copalar is a charming small town set in the highlands of Chiapas, Mexico, with just over 2,000 inhabitants. It offers visitors an authentic local experience, rich with traditional culture, scenic views, and community life away from mainstream tourism.
Geographic Context
Jurisdiction
Mexico
State
Chiapas
Population
2,039
Time Zone
America/Mexico_City
Coordinates
16.88°, -93.21°
Key Metrics
Safety Score · estimate
40
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
52
Food Safety
60
Monthly Cost · estimate
$602
Local Cost
$378
Local Income
$180
Cashless
18
English
8
Temperature
20.5°C
Summer Avg
22.1°C
Winter Avg
17.9°C
Record High
35.7°C
Record Low
5.6°C
Humidity
83%
Precipitation
1938 mm
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
TGZ
Distance
41 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.