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Upper San Mateo

City in Soccsksargen, Philippines

Overview

Upper San Mateo is a small, rural community set in the heart of Soccsksargen, known for its friendly residents and simple countryside charm. The town offers authentic Filipino village life amid rolling green landscapes and traditional farming communities.

Geographic Context

Jurisdiction
Philippines
Region
Soccsksargen
Population
3,791
Time Zone
Asia/Manila
Coordinates
7.17°, 124.58°

Key Metrics

Safety Score · estimate
45
Female Safety
50
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$375
Local Cost
$192
Local Income
$135
Cashless
30
English
45
Temperature
25.8°C
Summer Avg
25.7°C
Winter Avg
25.4°C
Record High
37.7°C
Record Low
16.8°C
Humidity
85%
Precipitation
2433 mm
Internet Speed
35 Mbps
Upload
35 Mbps
Latency
15 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CBO
Distance
41 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 3 tests. 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.

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