Calnali
City in Hidalgo, Mexico
Overview
Calnali is a picturesque town set in the Sierra Madre Oriental mountains of Hidalgo, known for its lush landscapes, rich Otomi culture, and a relaxed pace of life. With friendly residents and colorful festivals, it offers an authentic experience off the main tourist trail.
Geographic Context
Jurisdiction
Mexico
State
Hidalgo
Population
4,147
Time Zone
America/Mexico_City
Coordinates
20.90°, -98.57°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
45
Traffic Safety
60
Food Safety
60
Monthly Cost · estimate
$593
Local Cost
$370
Local Income
$220
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
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
3
Walk Score
3
Footways
6.0
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 2025-12-07.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.