Coronel Tito Hernández
City in Puebla, Mexico
Overview
Coronel Tito Hernández is a small, authentic Mexican town set in the state of Puebla. With a laid-back pace, the community is known for its welcoming locals, lively markets, and charming streets, making for a peaceful stay off the typical tourist path.
Geographic Context
Jurisdiction
Mexico
State
Puebla
Population
—
Time Zone
America/Mexico_City
Coordinates
20.46°, -97.74°
Key Metrics
Safety Score · estimate
40
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
45
Monthly Cost · estimate
$597
Local Cost
$380
Local Income
$380
Cashless
30
English
20
Temperature
24.0°C
Summer Avg
27.0°C
Winter Avg
19.5°C
Record High
47.4°C
Record Low
-0.7°C
Humidity
77%
Precipitation
1499 mm
Internet Speed
52 Mbps
Upload
45 Mbps
Latency
14 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
PAZ
Distance
33 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 2025-12-09.
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 2026-03-21.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.