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Marand
City in East Azerbaijan, Iran
Overview
Marand is a welcoming midsize city in East Azerbaijan Province, Iran, featuring a rich blend of history and lively local culture. Its scenic mountain backdrop and traditional bazaars give visitors a taste of authentic Iranian daily life.
Geographic Context
Jurisdiction
Iran
Province
East Azerbaijan
Population
130,825
Time Zone
Asia/Tehran
Coordinates
38.43°, 45.77°
Key Metrics
Safety Score · estimate
60
Female Safety
35
LGBTQ+ Safety
10
Traffic Safety
40
Food Safety
70
Monthly Cost · estimate
$437
Local Cost
$262
Local Income
$220
Cashless
35
English
20
Temperature
10.6°C
Summer Avg
22.2°C
Winter Avg
-1.4°C
Record High
38.9°C
Record Low
-18.2°C
Humidity
57%
Precipitation
257 mm
Internet Speed
95 Mbps
Upload
11 Mbps
Latency
21 ms
City Vibrancy
13
Coworking
0
Cafes
3
Nightlife
1
Parks
9
Transport
9
Walk Score
9
Footways
17.0
Airport
—
Distance
—
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 2025-12-06.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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