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Municipio de San Francisco

City in Petén , Guatemala

Overview

Municipio de San Francisco, set in the lush Petén region of Guatemala, is a tranquil town serving as a gateway to the country's famous archaeological sites and the scenic Lake Petén Itzá. Its authentic atmosphere and proximity to nature make it appealing for travelers looking to experience local culture.

Geographic Context

Jurisdiction
Guatemala
Department
Petén
Population
—
Time Zone
America/Guatemala
Coordinates
16.72°, -89.91°

Key Metrics

Safety Score · estimate
40
Female Safety
45
LGBTQ+ Safety
30
Traffic Safety
40
Food Safety
35
Monthly Cost · estimate
$691
Local Cost
$382
Local Income
$220
Cashless
15
English
20
Temperature
25.2°C
Summer Avg
26.0°C
Winter Avg
22.7°C
Record High
42.5°C
Record Low
11.1°C
Humidity
81%
Precipitation
1921 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
FRS
Distance
22 km

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 2026-03-21.
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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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