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San Marcos Guaquilpan
City in Hidalgo, Mexico
Overview
San Marcos Guaquilpan is a charming small town set in Hidalgo's countryside, known for its peaceful atmosphere and warm community. Visitors will find traditional Mexican culture, lively local markets, and beautiful natural scenery in the surrounding areas.
Geographic Context
Jurisdiction
Mexico
State
Hidalgo
Population
—
Time Zone
America/Mexico_City
Coordinates
19.60°, -98.63°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
70
Monthly Cost · estimate
$673
Local Cost
$385
Local Income
$200
Cashless
25
English
15
Temperature
13.6°C
Summer Avg
15.1°C
Winter Avg
11.0°C
Record High
31.0°C
Record Low
-4.6°C
Humidity
67%
Precipitation
895 mm
Internet Speed
31 Mbps
Upload
5 Mbps
Latency
15 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
NLU
Distance
43 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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