Chapulhuacanito
City in Hidalgo, Mexico
Overview
Chapulhuacanito is a tranquil town in the state of Hidalgo, Mexico, set amidst scenic hills and lush nature. It offers traditional village charm, local markets, and an authentic glimpse of rural Mexican life away from tourist crowds.
Geographic Context
Jurisdiction
Mexico
State
Hidalgo
Population
—
Time Zone
America/Mexico_City
Coordinates
21.21°, -98.67°
Key Metrics
Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
50
Food Safety
40
Monthly Cost · estimate
$462
Local Cost
$305
Local Income
$300
Cashless
15
English
10
Temperature
20.2°C
Summer Avg
22.9°C
Winter Avg
15.9°C
Record High
43.1°C
Record Low
-0.8°C
Humidity
74%
Precipitation
1180 mm
Internet Speed
4 Mbps
Upload
2 Mbps
Latency
41 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
—
Distance
—
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 2026-03-22.
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: 25/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.