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Dār Kulayb
City in Southern, Bahrain
Overview
Dār Kulayb is a tranquil town in Bahrain's Southern Governorate, known for its authentic local atmosphere and proximity to both urban amenities and scenic desert landscapes. Life here revolves around community events, traditional markets, and cultural heritage.
Geographic Context
Jurisdiction
Bahrain
Governorate
Southern
Population
—
Time Zone
Asia/Bahrain
Coordinates
26.07°, 50.50°
Key Metrics
Safety Score · estimate
65
Female Safety
50
LGBTQ+ Safety
25
Traffic Safety
55
Food Safety
85
Monthly Cost · estimate
$1,150
Local Cost
$700
Local Income
$950
Cashless
75
English
55
Temperature
27.1°C
Summer Avg
34.1°C
Winter Avg
18.9°C
Record High
43.1°C
Record Low
9.8°C
Humidity
62%
Precipitation
40 mm
Internet Speed
93 Mbps
Upload
48 Mbps
Latency
8 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
33
Walk Score
33
Footways
65.0
Airport
BAH
Distance
26 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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