Cerro de San Pedro
City in San Luis Potosí, Mexico
Overview
Cerro de San Pedro is a picturesque, historic mining town set in the hills northeast of San Luis Potosí City. Famous for its striking colonial ruins, breathtaking panoramas, and quiet village charm, it's a popular day trip for history and nature lovers.
Geographic Context
Jurisdiction
Mexico
State
San Luis Potosí
Population
97
Time Zone
America/Mexico_City
Coordinates
22.22°, -100.80°
Key Metrics
Safety Score · estimate
35
Female Safety
30
LGBTQ+ Safety
25
Traffic Safety
40
Food Safety
60
Monthly Cost · estimate
$792
Local Cost
$472
Local Income
$130
Cashless
10
English
10
Temperature
17.7°C
Summer Avg
20.3°C
Winter Avg
13.5°C
Record High
38.5°C
Record Low
-3.6°C
Humidity
63%
Precipitation
488 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
SLP
Distance
15 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 2026-03-23.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.