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Nueva Esperanza

City in Chiapas, Mexico

Overview

Nueva Esperanza is a small but culturally rich city tucked away in the lush landscapes of Chiapas, Mexico. It offers a blend of colonial charm, lively local life, and tranquil natural scenery, making it ideal for travelers seeking authenticity and relaxation. While less visited than larger cities, its welcoming communities and artistic spirit are standout features.

Geographic Context

Jurisdiction
Mexico
State
Chiapas
Population
—
Time Zone
America/Mexico_City
Coordinates
17.25°, -92.46°

Key Metrics

Safety Score · estimate
40
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
55
Monthly Cost · estimate
$711
Local Cost
$388
Local Income
$360
Cashless
15
English
20
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
9 Mbps
Upload
10 Mbps
Latency
46 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 5 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.

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.

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