Monte Escobedo
City in Zacatecas, Mexico
Overview
Monte Escobedo is a small, tranquil town in Zacatecas surrounded by rolling hills and pine forests. It offers visitors a glimpse into traditional Mexican rural life, with lively community festivals, local cuisine, and a welcoming atmosphere. The town is perfect for those seeking calm, nature, and authenticity.
Geographic Context
Jurisdiction
Mexico
State
Zacatecas
Population
3,937
Time Zone
America/Mexico_City
Coordinates
22.30°, -103.57°
Key Metrics
Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$664
Local Cost
$430
Local Income
$330
Cashless
20
English
15
Temperature
17.3°C
Summer Avg
20.8°C
Winter Avg
12.9°C
Record High
36.9°C
Record Low
-3.9°C
Humidity
56%
Precipitation
675 mm
Internet Speed
21 Mbps
Upload
6 Mbps
Latency
62 ms
City Vibrancy
11
Coworking
0
Cafes
0
Nightlife
2
Parks
9
Transport
15
Walk Score
15
Footways
30.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.