Qaem Shahr
City in Mazandaran, Iran
Overview
Qaem Shahr is a lively city in Mazandaran province, set between the Caspian Sea and the lush forests of northern Iran. With a blend of modern and traditional neighborhoods, it is known for its lively bazaars and proximity to natural beauty.
Geographic Context
Jurisdiction
Iran
Province
Mazandaran
Population
204,953
Time Zone
Asia/Tehran
Coordinates
36.48°, 52.90°
Key Metrics
Safety Score · estimate
55
Female Safety
35
LGBTQ+ Safety
10
Traffic Safety
40
Food Safety
65
Monthly Cost · estimate
$647
Local Cost
$339
Local Income
$250
Cashless
25
English
20
Temperature
17.5°C
Summer Avg
27.0°C
Winter Avg
8.0°C
Record High
44.5°C
Record Low
-13.1°C
Humidity
61%
Precipitation
535 mm
Internet Speed
108 Mbps
Upload
24 Mbps
Latency
90 ms
City Vibrancy
4
Coworking
0
Cafes
1
Nightlife
0
Parks
3
Transport
0
Walk Score
0
Footways
—
Airport
SRY
Distance
32 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 2025-12-06.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.