Tapalpa
City in Jalisco, Mexico
Overview
Tapalpa is a charming mountain town in Jalisco known for its colonial architecture, peaceful ambiance, and striking natural scenery. With its cool climate, it attracts both weekend escapees and ecotourists seeking forest adventures.
Geographic Context
Jurisdiction
Mexico
State
Jalisco
Population
5,955
Time Zone
America/Mexico_City
Coordinates
19.94°, -103.76°
Key Metrics
Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
45
Traffic Safety
65
Food Safety
80
Monthly Cost · estimate
$876
Local Cost
$525
Local Income
$400
Cashless
30
English
25
Temperature
19.2°C
Summer Avg
20.9°C
Winter Avg
16.2°C
Record High
37.3°C
Record Low
1.4°C
Humidity
64%
Precipitation
909 mm
Internet Speed
46 Mbps
Upload
18 Mbps
Latency
62 ms
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
0
Parks
1
Transport
2
Walk Score
2
Footways
4.0
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 2025-12-07.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.