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Bidbid

City in Ad Dakhiliyah, Oman

Overview

Bidbid is a traditional Omani town set in the Ad Dakhiliyah region, valued for its authentic markets, pottery, and proximity to stunning wadis and mountains. The city offers an inviting glimpse into everyday Omani life and is a gateway to many natural and cultural attractions.

Geographic Context

Jurisdiction
Oman
Governorate
Ad Dakhiliyah
Population
21,188
Time Zone
Asia/Muscat
Coordinates
23.41°, 58.13°

Key Metrics

Safety Score · estimate
84
Female Safety
62
LGBTQ+ Safety
10
Traffic Safety
55
Food Safety
84
Monthly Cost · estimate
$739
Local Cost
$430
Local Income
$580
Cashless
30
English
45
Temperature
28.0°C
Summer Avg
34.4°C
Winter Avg
20.3°C
Record High
44.9°C
Record Low
8.3°C
Humidity
44%
Precipitation
130 mm
Internet Speed
59 Mbps
Upload
30 Mbps
Latency
27 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
MCT
Distance
26 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 69 tests. Record updated 2025-12-05.
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: 48/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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