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San Martín Obispo (San Martín San Pedro)

City in Estado de México, Mexico

Overview

San Martín Obispo (also known as San Martín San Pedro), set in the Estado de México, is a growing suburban enclave with both old-town charm and modern industrial zones. Its proximity to major highways makes it an important hub for both residents and commuters heading into Mexico City's northwest suburbs.

Geographic Context

Jurisdiction
Mexico
State
Estado de México
Population
—
Time Zone
America/Mexico_City
Coordinates
19.32°, -100.07°

Key Metrics

Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
60
Monthly Cost · estimate
$720
Local Cost
$470
Local Income
$350
Cashless
20
English
18
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
20 Mbps
Upload
10 Mbps
Latency
3 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0

Data sources

Source-backed data

World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.

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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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