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Añisoc
City in Wele-Nzas, Equatorial Guinea
Overview
Añisoc is a modest, growing town in the Wele-Nzas province of Equatorial Guinea. Known for its friendly locals and lively daily markets, the city offers a window into traditional Equatoguinean life away from the busier cities. Its relaxed pace and community feel attract those seeking authenticity.
Geographic Context
Jurisdiction
Equatorial Guinea
Province
Wele-Nzas
Population
—
Time Zone
Africa/Malabo
Coordinates
1.87°, 10.77°
Key Metrics
Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
20
Traffic Safety
60
Food Safety
45
Monthly Cost · estimate
$1,055
Local Cost
$570
Local Income
$250
Cashless
15
English
20
Temperature
23.5°C
Summer Avg
22.7°C
Winter Avg
24.0°C
Record High
34.5°C
Record Low
16.8°C
Humidity
89%
Precipitation
1890 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
GEM
Distance
35 km
Explore
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: 30/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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