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Kasangulu

City in Kongo Central, DR Congo

Overview

Kasangulu is a lively town in Kongo Central, DR Congo, serving as a vital transit and trading point between the capital Kinshasa and Matadi. The city blends business activity with a local vibe, offering visitors a glimpse of authentic Congolese daily life and culture.

Geographic Context

Jurisdiction
DR Congo
Province
Kongo Central
Population
32,035
Time Zone
Africa/Kinshasa
Coordinates
-4.58°, 15.17°

Key Metrics

Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
25
Traffic Safety
40
Food Safety
35
Monthly Cost · estimate
$660
Local Cost
$338
Local Income
$125
Cashless
15
English
10
Temperature
25.1°C
Summer Avg
25.2°C
Winter Avg
24.1°C
Record High
36.4°C
Record Low
14.6°C
Humidity
80%
Precipitation
1680 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
NLO
Distance
34 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 2025-12-06.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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