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San Joaquín
City in Hidalgo, Mexico
Overview
San Joaquín is a picturesque small town set in the mountains of Hidalgo, Mexico. With a population of just over 400, it offers visitors a welcoming community, tranquil streets, and authentic regional charm.
Geographic Context
Jurisdiction
Mexico
State
Hidalgo
Population
443
Time Zone
America/Mexico_City
Coordinates
20.51°, -99.78°
Key Metrics
Safety Score · estimate
60
Female Safety
45
LGBTQ+ Safety
30
Traffic Safety
70
Food Safety
60
Monthly Cost · estimate
$412
Local Cost
$322
Local Income
$240
Cashless
15
English
15
Temperature
16.3°C
Summer Avg
18.1°C
Winter Avg
13.0°C
Record High
35.4°C
Record Low
-4.0°C
Humidity
64%
Precipitation
619 mm
Internet Speed
4 Mbps
Upload
1 Mbps
Latency
31 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
QRO
Distance
45 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 2025-12-08.
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 2026-03-23.
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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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