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Mtubatuba
City in KwaZulu-Natal, South Africa
Overview
Mtubatuba is a small town in northern KwaZulu-Natal, South Africa, serving as an important gateway to some of the region's top natural attractions, including iSimangaliso Wetland Park. Known for its rich Zulu heritage and proximity to safari destinations, Mtubatuba offers a blend of local culture and adventurous outdoor activities.
Geographic Context
Jurisdiction
South Africa
Province
KwaZulu-Natal
Population
33,182
Time Zone
Africa/Johannesburg
Coordinates
-28.42°, 32.18°
Key Metrics
Safety Score · estimate
35
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
40
Food Safety
50
Monthly Cost · estimate
$699
Local Cost
$468
Local Income
$230
Cashless
30
English
70
Temperature
22.0°C
Summer Avg
25.2°C
Winter Avg
18.3°C
Record High
45.8°C
Record Low
6.6°C
Humidity
68%
Precipitation
748 mm
Internet Speed
57 Mbps
Upload
11 Mbps
Latency
171 ms
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
1
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
DUK
Distance
8 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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