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Glad
City in Soccsksargen, Philippines
Overview
Glad is a charming town in Soccsksargen, Philippines, known for its friendly locals, agricultural surroundings, and laid-back pace. Visitors can expect a genuine rural atmosphere, simple but tasty food, and scenic countryside. The town serves as an ideal base for exploring the region's natural beauty and local community life.
Geographic Context
Jurisdiction
Philippines
Region
Soccsksargen
Population
5,746
Time Zone
Asia/Manila
Coordinates
7.15°, 124.52°
Key Metrics
Safety Score · estimate
55
Female Safety
50
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
45
Monthly Cost · estimate
$515
Local Cost
$250
Local Income
$200
Cashless
15
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
16 Mbps
Upload
20 Mbps
Latency
135 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
5.0
Airport
CBO
Distance
34 km
Explore
Data sources
Source-backed data
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: 35/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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