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Norala

City in South Cotabato, Philippines

Overview

Norala is a small but lively town in South Cotabato, Philippines, blending agricultural roots with a welcoming community vibe. The town is surrounded by picturesque rice fields and rivers, making it ideal for travelers seeking local experiences and rural tranquility.

Geographic Context

Jurisdiction
Philippines
Province
South Cotabato
Population
48,499
Time Zone
Asia/Manila
Coordinates
6.53°, 124.59°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$525
Local Cost
$242
Local Income
$210
Cashless
30
English
40
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
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
AAV
Distance
25 km

Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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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 2025-12-05.

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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