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Anibongan

City in Davao, Philippines

Overview

Anibongan is a small rural town in Davao, Philippines, encompassing a close-knit community and scenic farmland. Visitors can enjoy authentic Filipino hospitality, local cuisine, and picturesque landscapes while experiencing the pace of provincial life.

Geographic Context

Jurisdiction
Philippines
Region
Davao
Population
2,468
Time Zone
Asia/Manila
Coordinates
7.39°, 125.72°

Key Metrics

Safety Score · estimate
55
Female Safety
50
LGBTQ+ Safety
40
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$592
Local Cost
$232
Local Income
$180
Cashless
10
English
30
Temperature
26.0°C
Summer Avg
26.3°C
Winter Avg
25.1°C
Record High
41.5°C
Record Low
15.9°C
Humidity
85%
Precipitation
2456 mm
Internet Speed
140 Mbps
Upload
79 Mbps
Latency
37 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
DVO
Distance
31 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 6 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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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