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Charam
City in Kohgiluyeh and Boyer-Ahmad, Iran
Overview
Charam is a small but lively city in the foothills of the Zagros Mountains, known for its warm hospitality, traditional markets, and stunning natural surroundings. It offers an authentic Persian experience, far from tourist crowds.
Geographic Context
Jurisdiction
Iran
Province
Kohgiluyeh and Boyer-Ahmad
Population
—
Time Zone
Asia/Tehran
Coordinates
30.77°, 50.85°
Key Metrics
Safety Score · estimate
60
Female Safety
40
LGBTQ+ Safety
10
Traffic Safety
45
Food Safety
60
Monthly Cost · estimate
$356
Local Cost
$243
Local Income
$180
Cashless
20
English
15
Temperature
18.0°C
Summer Avg
29.6°C
Winter Avg
6.4°C
Record High
43.2°C
Record Low
-9.6°C
Humidity
37%
Precipitation
341 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
GCH
Distance
48 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 2025-12-09.
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 2026-03-21.
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: 48/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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