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Esa’ala
City in Milne Bay, Papua New Guinea
Overview
Esa'ala is a coastal town in Milne Bay Province, Papua New Guinea, surrounded by lush rainforests and blue waters. The area is off the usual tourist trail, offering an authentic village atmosphere and natural beauty, from nearby reefs to dense jungle. Basic amenities are available, and visitors can experience the traditional way of life.
Geographic Context
Jurisdiction
Papua New Guinea
Province
Milne Bay
Population
—
Time Zone
Pacific/Bougainville
Coordinates
-9.58°, 150.75°
Key Metrics
Safety Score · estimate
35
Female Safety
40
LGBTQ+ Safety
20
Traffic Safety
30
Food Safety
40
Monthly Cost · estimate
$545
Local Cost
$328
Local Income
$110
Cashless
10
English
40
Temperature
26.8°C
Summer Avg
27.7°C
Winter Avg
25.7°C
Record High
31.8°C
Record Low
21.5°C
Humidity
82%
Precipitation
2409 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
SAM
Distance
11 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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: 25/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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