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Sīnah
City in Dohuk, Iraq
Overview
Sīnah is a small, welcoming city located in the Dohuk Governorate of northern Iraq, known for its strong Kurdish culture and friendly locals. Travelers can experience authentic markets, scenic mountain views, and traditional cuisine while exploring this lesser-known destination.
Geographic Context
Jurisdiction
Iraq
Governorate
Dohuk
Population
—
Time Zone
Asia/Baghdad
Coordinates
36.81°, 43.04°
Key Metrics
Safety Score · estimate
60
Female Safety
35
LGBTQ+ Safety
15
Traffic Safety
40
Food Safety
55
Monthly Cost · estimate
$578
Local Cost
$332
Local Income
$250
Cashless
20
English
25
Temperature
17.0°C
Summer Avg
30.3°C
Winter Avg
4.3°C
Record High
44.9°C
Record Low
-11.4°C
Humidity
45%
Precipitation
383 mm
Internet Speed
36 Mbps
Upload
53 Mbps
Latency
5 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
2.0
Airport
BMN
Distance
38 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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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