Conjunto Urbano la Loma I
City in Estado de México, Mexico
Overview
Conjunto Urbano la Loma I is a compact, residential area in Estado de México, providing a local vibe just outside Mexico City. It offers affordable living, good community infrastructure, and convenient access to daily amenities.
Geographic Context
Jurisdiction
Mexico
State
Estado de México
Population
6,192
Time Zone
America/Mexico_City
Coordinates
19.33°, -99.73°
Key Metrics
Safety Score · estimate
40
Female Safety
38
LGBTQ+ Safety
35
Traffic Safety
45
Food Safety
60
Monthly Cost · estimate
$880
Local Cost
$460
Local Income
$400
Cashless
30
English
20
Temperature
14.9°C
Summer Avg
16.3°C
Winter Avg
12.1°C
Record High
32.0°C
Record Low
-1.8°C
Humidity
66%
Precipitation
858 mm
Internet Speed
155 Mbps
Upload
56 Mbps
Latency
9 ms
City Vibrancy
11
Coworking
0
Cafes
0
Nightlife
0
Parks
11
Transport
6
Walk Score
6
Footways
12.0
Airport
TLC
Distance
18 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: 56/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.