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António Enes

City in Nampula, Mozambique

Overview

António Enes (Angoche) is a coastal town in northern Mozambique, known for its beautiful beaches, lively fishing culture, and relaxed pace of life. Located on the Indian Ocean, it offers an authentic look at Mozambican coastal living with warm hospitality.

Geographic Context

Jurisdiction
Mozambique
Province
Nampula
Population
—
Time Zone
Africa/Maputo
Coordinates
-16.23°, 39.91°

Key Metrics

Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
30
Traffic Safety
40
Food Safety
35
Monthly Cost · estimate
$683
Local Cost
$378
Local Income
$100
Cashless
20
English
30
Temperature
26.0°C
Summer Avg
27.8°C
Winter Avg
23.4°C
Record High
39.7°C
Record Low
16.7°C
Humidity
75%
Precipitation
1069 mm
Internet Speed
2 Mbps
Upload
0 Mbps
Latency
223 ms
City Vibrancy
6
Coworking
0
Cafes
0
Nightlife
5
Parks
1
Transport
4
Walk Score
4
Footways
8.0
Airport
ANO
Distance
7 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 4 tests. 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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