San Miguel Monteverde
City in Oaxaca, Mexico
Overview
San Miguel Monteverde is a tranquil highland town set in the mountains of Oaxaca, Mexico. Known for its cool climate, indigenous culture, and proximity to pristine forests, it's ideal for those seeking authentic rural life off the beaten path.
Geographic Context
Jurisdiction
Mexico
State
Oaxaca
Population
—
Time Zone
America/Mexico_City
Coordinates
17.53°, -97.79°
Key Metrics
Safety Score · estimate
50
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
40
Food Safety
50
Monthly Cost · estimate
$602
Local Cost
$354
Local Income
$200
Cashless
15
English
15
Temperature
15.6°C
Summer Avg
16.4°C
Winter Avg
13.5°C
Record High
33.0°C
Record Low
-3.1°C
Humidity
72%
Precipitation
906 mm
Internet Speed
3 Mbps
Upload
2 Mbps
Latency
98 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
2
Walk Score
2
Footways
3.0
Airport
—
Distance
—
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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.