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San Ignacio Nopala
City in Hidalgo, Mexico
Overview
San Ignacio Nopala is a tranquil, close-knit town in Hidalgo, Mexico, surrounded by farmland and gentle hills. The town is known for its small plazas, friendly locals, and authentic rural Mexican atmosphere.
Geographic Context
Jurisdiction
Mexico
State
Hidalgo
Population
1,534
Time Zone
America/Mexico_City
Coordinates
19.84°, -99.35°
Key Metrics
Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
60
Food Safety
70
Monthly Cost · estimate
$516
Local Cost
$326
Local Income
$250
Cashless
15
English
10
Temperature
15.2°C
Summer Avg
16.9°C
Winter Avg
12.3°C
Record High
33.7°C
Record Low
-4.6°C
Humidity
65%
Precipitation
717 mm
Internet Speed
10 Mbps
Upload
5 Mbps
Latency
50 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
AZP
Distance
30 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 2026-03-22.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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