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Nizwá
City in Ad Dakhiliyah, Oman
Overview
Nizwá, the cultural heart of Oman, is famed for its 17th-century fort, busy souq, and impressive mountain surrounds. The city offers a mix of rich history, traditional architecture, and a welcoming atmosphere for travelers. Its close proximity to natural and historical sites makes it a top base for exploring Ad Dakhiliyah.
Geographic Context
Jurisdiction
Oman
Governorate
Ad Dakhiliyah
Population
83,544
Time Zone
Asia/Muscat
Coordinates
22.93°, 57.53°
Key Metrics
Safety Score · estimate
80
Female Safety
65
LGBTQ+ Safety
20
Traffic Safety
60
Food Safety
80
Monthly Cost · estimate
$970
Local Cost
$520
Local Income
$700
Cashless
55
English
50
Temperature
27.4°C
Summer Avg
34.7°C
Winter Avg
18.9°C
Record High
47.5°C
Record Low
3.4°C
Humidity
33%
Precipitation
143 mm
Internet Speed
53 Mbps
Upload
30 Mbps
Latency
35 ms
City Vibrancy
2
Coworking
0
Cafes
2
Nightlife
0
Parks
0
Transport
13
Walk Score
13
Footways
25.0
Airport
—
Distance
—
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 2025-12-06.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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