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Lata
City in Temotu, Solomon Islands
Overview
Lata is the small but lively capital of Temotu Province and the easternmost town in the Solomon Islands. With a population under 600, it offers a tranquil, community-centric atmosphere surrounded by lush rainforests and stunning ocean vistas. Life moves at a relaxed pace, making it ideal for cultural immersion and natural exploration.
Geographic Context
Jurisdiction
Solomon Islands
Province
Temotu
Population
553
Time Zone
Pacific/Guadalcanal
Coordinates
-10.72°, 165.80°
Key Metrics
Safety Score · estimate
50
Female Safety
45
LGBTQ+ Safety
30
Traffic Safety
60
Food Safety
40
Monthly Cost · estimate
$820
Local Cost
$380
Local Income
$200
Cashless
5
English
60
Temperature
28.0°C
Summer Avg
28.3°C
Winter Avg
27.8°C
Record High
30.4°C
Record Low
24.9°C
Humidity
82%
Precipitation
2817 mm
Internet Speed
51 Mbps
Upload
2 Mbps
Latency
121 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
SCZ
Distance
1 km
Explore
Data sources
Source-backed data
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 2026-03-23.
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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