Bosques de San Pedro
City in Nuevo León, Mexico
Overview
Bosques de San Pedro is a suburban community set in Nuevo León, Mexico, known for its tranquility, green spaces, and close-knit atmosphere. While primarily residential, it offers local amenities and easy access to larger urban centers in the region.
Geographic Context
Jurisdiction
Mexico
State
Nuevo León
Population
—
Time Zone
America/Mexico_City
Coordinates
25.60°, -100.18°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
50
Traffic Safety
60
Food Safety
75
Monthly Cost · estimate
$957
Local Cost
$615
Local Income
$850
Cashless
45
English
35
Temperature
21.5°C
Summer Avg
27.1°C
Winter Avg
14.8°C
Record High
43.4°C
Record Low
-5.4°C
Humidity
59%
Precipitation
709 mm
Internet Speed
87 Mbps
Upload
8 Mbps
Latency
10 ms
City Vibrancy
24
Coworking
0
Cafes
0
Nightlife
0
Parks
24
Transport
2
Walk Score
2
Footways
4.0
Airport
AED
Distance
13 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 2026-03-22.
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: 54/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.