Salman Shahr
City in Mazandaran, Iran
Overview
Salman Shahr is a coastal city on the Caspian Sea, renowned for its beaches, lush landscapes, and proximity to Namak Abrood forest park. Popular as a summer getaway for Iranians, it blends modern amenities with traditional charm.
Geographic Context
Jurisdiction
Iran
Province
Mazandaran
Population
9,656
Time Zone
Asia/Tehran
Coordinates
36.70°, 51.19°
Key Metrics
Safety Score · estimate
60
Female Safety
40
LGBTQ+ Safety
20
Traffic Safety
45
Food Safety
60
Monthly Cost · estimate
$731
Local Cost
$389
Local Income
$370
Cashless
35
English
25
Temperature
10.8°C
Summer Avg
20.3°C
Winter Avg
0.6°C
Record High
33.6°C
Record Low
-16.6°C
Humidity
71%
Precipitation
799 mm
Internet Speed
19 Mbps
Upload
4 Mbps
Latency
59 ms
City Vibrancy
5
Coworking
0
Cafes
1
Nightlife
0
Parks
4
Transport
0
Walk Score
0
Footways
—
Airport
NSH
Distance
25 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 2025-12-07.
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: 58/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.