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Markaz-e Ḩukūmat-e Darwēshān
City in Helmand, Afghanistan
Overview
Markaz-e Ḩukūmat-e Darwēshān is a small city in Afghanistan's Helmand province, serving as a local administrative and commercial center. Life revolves around traditional markets, community spaces, and government offices, offering an authentic Afghan small-town experience.
Geographic Context
Jurisdiction
Afghanistan
Province
Helmand
Population
9,012
Time Zone
Asia/Kabul
Coordinates
31.13°, 64.19°
Key Metrics
Safety Score · estimate
20
Female Safety
15
LGBTQ+ Safety
5
Traffic Safety
25
Food Safety
35
Monthly Cost · estimate
$356
Local Cost
$202
Local Income
$70
Cashless
5
English
5
Temperature
21.3°C
Summer Avg
32.5°C
Winter Avg
9.2°C
Record High
46.4°C
Record Low
-8.9°C
Humidity
24%
Precipitation
93 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
DWR
Distance
13 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 2025-12-07.
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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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