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Madīnat ‘Īsá
City in Southern, Bahrain
Overview
Madīnat 'Īsá, or Isa Town, is a lively urban center in Southern Bahrain, home to busy markets, government offices, and sports complexes. It mixes modern Bahraini life with local traditions, making it a hub for residents and visitors alike.
Geographic Context
Jurisdiction
Bahrain
Governorate
Southern
Population
—
Time Zone
Asia/Bahrain
Coordinates
26.17°, 50.55°
Key Metrics
Safety Score · estimate
72
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
65
Food Safety
85
Monthly Cost · estimate
$1,335
Local Cost
$733
Local Income
$1,300
Cashless
84
English
80
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
109 Mbps
Upload
60 Mbps
Latency
5 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
38
Walk Score
38
Footways
76.0
Airport
BAH
Distance
14 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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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