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Zoh-Laguna
City in Campeche, Mexico
Overview
Zoh-Laguna is a small, tranquil village in the Campeche region of Mexico, surrounded by lush forests and centered on a picturesque lagoon. The town is known for its peaceful pace, lively community life, and proximity to natural reserves.
Geographic Context
Jurisdiction
Mexico
State
Campeche
Population
—
Time Zone
America/Mexico_City
Coordinates
18.59°, -89.42°
Key Metrics
Safety Score · estimate
55
Female Safety
55
LGBTQ+ Safety
45
Traffic Safety
60
Food Safety
60
Monthly Cost · estimate
$635
Local Cost
$376
Local Income
$350
Cashless
25
English
20
Temperature
25.2°C
Summer Avg
26.3°C
Winter Avg
22.9°C
Record High
41.3°C
Record Low
8.7°C
Humidity
78%
Precipitation
1398 mm
Internet Speed
10 Mbps
Upload
11 Mbps
Latency
77 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
XJL
Distance
9 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 2026-03-22.
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.
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