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Kalaleh
City in Golestan, Iran
Overview
Kalaleh is a lively city in Golestan Province, Iran, blending rich Turkmen culture with a warm, small-town atmosphere. It's known for traditional bazaars, friendly locals, and easy access to natural landscapes like mountain foothills and steppes.
Geographic Context
Jurisdiction
Iran
Province
Golestan
Population
117,319
Time Zone
Asia/Tehran
Coordinates
37.38°, 55.49°
Key Metrics
Safety Score · estimate
60
Female Safety
35
LGBTQ+ Safety
15
Traffic Safety
45
Food Safety
60
Monthly Cost · estimate
$395
Local Cost
$227
Local Income
$190
Cashless
25
English
25
Temperature
17.7°C
Summer Avg
29.1°C
Winter Avg
6.5°C
Record High
46.6°C
Record Low
-12.8°C
Humidity
48%
Precipitation
224 mm
Internet Speed
140 Mbps
Upload
103 Mbps
Latency
94 ms
City Vibrancy
6
Coworking
0
Cafes
1
Nightlife
0
Parks
5
Transport
0
Walk Score
0
Footways
—
Airport
KLM
Distance
4 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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