Dehagh
City in Isfahan, Iran
Overview
Dehagh is a charming small city in Isfahan province known for its relaxed pace, traditional markets, and friendly atmosphere. With its blend of residential areas and historic sites, Dehagh offers an authentic experience of rural Iranian life. Visitors can enjoy local hospitality, explore busy bazaars, and stroll peaceful streets.
Geographic Context
Jurisdiction
Iran
Province
Isfahan
Population
—
Time Zone
Asia/Tehran
Coordinates
33.11°, 50.94°
Key Metrics
Safety Score · estimate
60
Female Safety
30
LGBTQ+ Safety
15
Traffic Safety
40
Food Safety
65
Monthly Cost · estimate
$444
Local Cost
$290
Local Income
$200
Cashless
20
English
20
Temperature
13.7°C
Summer Avg
25.6°C
Winter Avg
2.0°C
Record High
40.0°C
Record Low
-15.5°C
Humidity
40%
Precipitation
183 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
8
Walk Score
8
Footways
16.0
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 2025-12-09.
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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.