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Marangu

City in Mbeya, Tanzania

Overview

Marangu, a village set at the foot of Mount Kilimanjaro, is a popular starting point for trekkers and nature enthusiasts. Its picturesque surroundings, friendly communities, and proximity to lush forests make it a standout destination in rural Tanzania.

Geographic Context

Jurisdiction
Tanzania
Region
Mbeya
Population
—
Time Zone
Africa/Dar_es_Salaam
Coordinates
-8.89°, 33.44°

Key Metrics

Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
25
Traffic Safety
50
Food Safety
35
Monthly Cost · estimate
$341
Local Cost
$235
Local Income
$110
Cashless
20
English
25
Temperature
19.4°C
Summer Avg
20.0°C
Winter Avg
16.7°C
Record High
34.9°C
Record Low
6.3°C
Humidity
71%
Precipitation
1202 mm
Internet Speed
87 Mbps
Upload
7 Mbps
Latency
54 ms
City Vibrancy
21
Coworking
0
Cafes
17
Nightlife
4
Parks
0
Transport
1
Walk Score
1
Footways
2.0
Airport
MBI
Distance
4 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 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 2026-03-23.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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