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Ak’ordat

City in Gash-Barka, Eritrea

Overview

Ak'ordat is a lively market town in the Gash-Barka region of western Eritrea, sitting by the Barka River. The city is known for its mix of cultures, local produce trade, and colonial-era history, offering a glimpse into daily Eritrean life away from major tourist hubs.

Geographic Context

Jurisdiction
Eritrea
Region
Gash-Barka
Population
—
Time Zone
Africa/Asmara
Coordinates
15.55°, 37.88°

Key Metrics

Safety Score · estimate
35
Female Safety
30
LGBTQ+ Safety
10
Traffic Safety
35
Food Safety
25
Monthly Cost · estimate
$375
Local Cost
$170
Local Income
$40
Cashless
5
English
15
Temperature
27.7°C
Summer Avg
27.2°C
Winter Avg
25.7°C
Record High
44.3°C
Record Low
11.6°C
Humidity
47%
Precipitation
437 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
4
Walk Score
4
Footways
7.0
Airport
—
Distance
—

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 2026-03-22.
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: 38/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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