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Akbarabad
City in Fars, Iran
Overview
Akbarabad is a small, close-knit town in Fars Province, renowned for its welcoming residents and traditional Persian atmosphere. While life moves at a laid-back pace, the town offers genuine local experiences and easy access to rural landscapes. It is ideal for travelers seeking authentic everyday Iran away from major tourist hubs.
Geographic Context
Jurisdiction
Iran
Province
Fars
Population
5,837
Time Zone
Asia/Tehran
Coordinates
29.25°, 52.78°
Key Metrics
Safety Score · estimate
50
Female Safety
35
LGBTQ+ Safety
10
Traffic Safety
50
Food Safety
65
Monthly Cost · estimate
$446
Local Cost
$245
Local Income
$230
Cashless
20
English
10
Temperature
18.3°C
Summer Avg
29.0°C
Winter Avg
7.5°C
Record High
43.0°C
Record Low
-8.0°C
Humidity
36%
Precipitation
247 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
SYZ
Distance
38 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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