Aliabad-e-Katul

City in Golestan, Iran

Overview

Aliabad-e-Katul is a charming town set in the southern foothills of the Alborz mountains in Golestan Province. Known for its lush landscapes, waterfalls, and welcoming local culture, it offers a peaceful escape from the bustle of major cities, serving as a gateway to some of northern Iran's best nature spots.

Geographic Context

Jurisdiction
Iran
Province
Golestan
Population
—
Time Zone
Asia/Tehran
Coordinates
36.91°, 54.84°

Key Metrics

Safety Score · estimate
60
Female Safety
35
LGBTQ+ Safety
15
Traffic Safety
50
Food Safety
65
Monthly Cost · estimate
$525
Local Cost
$210
Local Income
$270
Cashless
25
English
20
Temperature
16.1°C
Summer Avg
26.9°C
Winter Avg
5.4°C
Record High
44.8°C
Record Low
-14.8°C
Humidity
52%
Precipitation
242 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
GBT
Distance
40 km

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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.