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Jicaltepec Autopan
City in Estado de México, Mexico
Overview
Jicaltepec Autopan is a small, traditional community on the outskirts of Toluca in Estado de México. The city offers an authentic Mexican rural experience, with friendly locals, historic sites, and beautiful open landscapes.
Geographic Context
Jurisdiction
Mexico
State
Estado de México
Population
5,228
Time Zone
America/Mexico_City
Coordinates
19.37°, -99.64°
Key Metrics
Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$648
Local Cost
$410
Local Income
$300
Cashless
15
English
10
Temperature
13.8°C
Summer Avg
15.3°C
Winter Avg
11.2°C
Record High
31.7°C
Record Low
-3.4°C
Humidity
66%
Precipitation
793 mm
Internet Speed
57 Mbps
Upload
61 Mbps
Latency
27 ms
City Vibrancy
6
Coworking
0
Cafes
0
Nightlife
2
Parks
4
Transport
0
Walk Score
0
Footways
—
Airport
TLC
Distance
9 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 2025-12-07.
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: 48/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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