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Kombolcha
City in Amhara, Ethiopia
Overview
Kombolcha is a lively city in Ethiopia's Amhara region, serving as a trade and transport hub at the crossroads of north-central Ethiopia. Combining lively markets, industrial districts, and friendly neighborhoods, Kombolcha offers visitors a unique glimpse into urban Ethiopian life.
Geographic Context
Jurisdiction
Ethiopia
Region
Amhara
Population
85,367
Time Zone
Africa/Addis_Ababa
Coordinates
11.08°, 39.74°
Key Metrics
Safety Score · estimate
45
Female Safety
42
LGBTQ+ Safety
27
Traffic Safety
43
Food Safety
44
Monthly Cost · estimate
$503
Local Cost
$217
Local Income
$120
Cashless
22
English
31
Temperature
22.5°C
Summer Avg
24.6°C
Winter Avg
20.0°C
Record High
36.9°C
Record Low
7.7°C
Humidity
54%
Precipitation
897 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
DSE
Distance
3 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 2025-12-06.
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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