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San Francisco
City in Agusan del Sur, Philippines
Overview
San Francisco in Agusan del Sur is a laid-back provincial town set amidst lush greenery and rice fields. It serves as the trade and service center for the area, known for its warm community life and local festivals. With its relaxed pace and easy access to nature, it's a pleasant destination for experiencing rural Filipino life.
Geographic Context
Jurisdiction
Philippines
Province
Agusan del Sur
Population
16,004
Time Zone
Asia/Manila
Coordinates
15.36°, 120.84°
Key Metrics
Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
50
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$480
Local Cost
$240
Local Income
$200
Cashless
20
English
45
Temperature
26.7°C
Summer Avg
26.8°C
Winter Avg
25.1°C
Record High
41.8°C
Record Low
14.9°C
Humidity
80%
Precipitation
2753 mm
Internet Speed
134 Mbps
Upload
138 Mbps
Latency
9 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CRK
Distance
36 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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