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Leava

City in Sigave, Wallis and Futuna

Overview

Leava is the administrative center of Sigave on Futuna Island, Wallis and Futuna. The town offers a blend of traditional Pacific culture, scenic coastlines, and warm community hospitality, making it a unique destination for the adventurous traveler.

Geographic Context

Jurisdiction
Wallis and Futuna
Administrative Precinct
Sigave
Population
—
Time Zone
Pacific/Wallis
Coordinates
-14.30°, -178.16°

Key Metrics

Safety Score · estimate
65
Female Safety
65
LGBTQ+ Safety
40
Traffic Safety
60
Food Safety
65
Monthly Cost · estimate
$1,255
Local Cost
$660
Local Income
$350
Cashless
25
English
35
Temperature
27.6°C
Summer Avg
28.1°C
Winter Avg
27.1°C
Record High
30.2°C
Record Low
23.8°C
Humidity
81%
Precipitation
2005 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
FUT
Distance
10 km

Data sources

Source-backed data

World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
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: 35/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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