Zaṟah Sharan
City in Paktika, Afghanistan
Overview
Zaṟah Sharan is the provincial capital of Paktika in southeastern Afghanistan, blending traditional Pashtun culture with local commerce. The city is modest in size, primarily serving as an administrative and market center for the region, with a landscape of basic infrastructure and an authentic rural atmosphere.
Geographic Context
Jurisdiction
Afghanistan
Province
Paktika
Population
—
Time Zone
Asia/Kabul
Coordinates
33.15°, 68.79°
Key Metrics
Safety Score · estimate
20
Female Safety
10
LGBTQ+ Safety
5
Traffic Safety
25
Food Safety
30
Monthly Cost · estimate
$565
Local Cost
$213
Local Income
$70
Cashless
5
English
5
Temperature
10.9°C
Summer Avg
21.4°C
Winter Avg
-0.1°C
Record High
35.9°C
Record Low
-27.9°C
Humidity
45%
Precipitation
537 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
OAS
Distance
5 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 2026-03-22.
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: 30/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.