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Moqavemat
City in Khuzestan, Iran
Overview
Moqavemat is a small city in Khuzestan province and offers an authentic glimpse into southwestern Iran's daily life. While not a major tourist destination, it charms visitors with its warm community, local markets, and scenery along the Karun river.
Geographic Context
Jurisdiction
Iran
Province
Khuzestan
Population
—
Time Zone
Asia/Tehran
Coordinates
30.45°, 48.17°
Key Metrics
Safety Score · estimate
35
Female Safety
30
LGBTQ+ Safety
10
Traffic Safety
30
Food Safety
55
Monthly Cost · estimate
$592
Local Cost
$350
Local Income
$250
Cashless
15
English
10
Temperature
26.6°C
Summer Avg
38.5°C
Winter Avg
13.7°C
Record High
53.2°C
Record Low
-3.3°C
Humidity
33%
Precipitation
119 mm
Internet Speed
27 Mbps
Upload
1 Mbps
Latency
34 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
29
Walk Score
29
Footways
57.0
Airport
ABD
Distance
10 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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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