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Skardu
City in Gilgit-Baltistan, Pakistan
Overview
Skardu is a stunning mountain city set in the heart of Gilgit-Baltistan, acting as a gateway to several of Pakistan's famous mountain ranges, lakes, and valleys. Its unique blend of natural beauty, historic forts, and friendly local culture make it a top destination for adventure seekers and peace lovers alike.
Geographic Context
Jurisdiction
Pakistan
Administered Area
Gilgit-Baltistan
Population
112,996
Time Zone
Asia/Karachi
Coordinates
35.30°, 75.63°
Key Metrics
Safety Score · estimate
70
Female Safety
45
LGBTQ+ Safety
20
Traffic Safety
40
Food Safety
50
Monthly Cost · estimate
$425
Local Cost
$220
Local Income
$120
Cashless
20
English
30
Temperature
-0.3°C
Summer Avg
10.8°C
Winter Avg
-12.0°C
Record High
24.6°C
Record Low
-30.9°C
Humidity
55%
Precipitation
354 mm
Internet Speed
8 Mbps
Upload
6 Mbps
Latency
9 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
KDU
Distance
10 km
Explore
Data sources
Source-backed data
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: 56/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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