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Kulaman
City in Soccsksargen, Philippines
Overview
Kulaman is a quiet municipality set in the scenic mountains of Soccsksargen, Philippines. Known for its friendly community, cool climate, and access to natural attractions like caves and waterfalls, Kulaman offers an authentic escape from city crowds. The town retains its provincial charm with a blend of indigenous culture and laid-back countryside living.
Geographic Context
Jurisdiction
Philippines
Region
Soccsksargen
Population
3,380
Time Zone
Asia/Manila
Coordinates
6.46°, 124.32°
Key Metrics
Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
30
Traffic Safety
50
Food Safety
65
Monthly Cost · estimate
$545
Local Cost
$240
Local Income
$180
Cashless
20
English
30
Temperature
22.7°C
Summer Avg
22.6°C
Winter Avg
22.4°C
Record High
34.4°C
Record Low
14.4°C
Humidity
88%
Precipitation
2053 mm
Internet Speed
89 Mbps
Upload
90 Mbps
Latency
85 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
10.0
Airport
LWA
Distance
38 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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