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Desē
City in Amhara, Ethiopia
Overview
Desē is a historic market city set in the Amhara region of northern Ethiopia, known for its lively bazaars, dramatic mountain scenery, and mix of old and new architecture. It is a gateway to nearby highlands and offers an authentic Ethiopian urban experience.
Geographic Context
Jurisdiction
Ethiopia
Region
Amhara
Population
—
Time Zone
Africa/Addis_Ababa
Coordinates
11.13°, 39.63°
Key Metrics
Safety Score · estimate
48
Female Safety
40
LGBTQ+ Safety
22
Traffic Safety
35
Food Safety
40
Monthly Cost · estimate
$373
Local Cost
$222
Local Income
$90
Cashless
15
English
38
Temperature
14.2°C
Summer Avg
15.2°C
Winter Avg
13.3°C
Record High
28.5°C
Record Low
0.6°C
Humidity
66%
Precipitation
953 mm
Internet Speed
2 Mbps
Upload
11 Mbps
Latency
75 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
10.0
Airport
DSE
Distance
10 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 2025-12-09.
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 2026-03-21.
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: 61/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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