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Teopisca

City in Chiapas, Mexico

Overview

Teopisca is a charming small city set in the highlands of Chiapas, Mexico, known for its traditional markets, indigenous culture, and proximity to natural attractions. It offers an authentic local experience with friendly residents and a tranquil pace of life away from mainstream tourism.

Geographic Context

Jurisdiction
Mexico
State
Chiapas
Population
49,499
Time Zone
America/Mexico_City
Coordinates
16.54°, -92.47°

Key Metrics

Safety Score · estimate
48
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
62
Food Safety
55
Monthly Cost · estimate
$676
Local Cost
$407
Local Income
$300
Cashless
15
English
18
Temperature
19.0°C
Summer Avg
19.8°C
Winter Avg
16.9°C
Record High
35.3°C
Record Low
3.8°C
Humidity
78%
Precipitation
1372 mm
Internet Speed
66 Mbps
Upload
59 Mbps
Latency
10 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1

Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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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 297 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. 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: 46/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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