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Aliabad-e Posht Shahr
City in Hamadan, Iran
Overview
Aliabad-e Posht Shahr is a rural village in the Hamadan region of Iran, surrounded by picturesque countryside and local farms. It offers authentic village life, traditional architecture, and a peaceful atmosphere away from major tourist routes.
Geographic Context
Jurisdiction
Iran
Province
Hamadan
Population
—
Time Zone
Asia/Tehran
Coordinates
34.84°, 48.51°
Key Metrics
Safety Score · estimate
40
Female Safety
30
LGBTQ+ Safety
5
Traffic Safety
50
Food Safety
40
Monthly Cost · estimate
$430
Local Cost
$225
Local Income
$140
Cashless
10
English
10
Temperature
11.7°C
Summer Avg
24.0°C
Winter Avg
-0.3°C
Record High
40.2°C
Record Low
-18.6°C
Humidity
49%
Precipitation
283 mm
Internet Speed
66 Mbps
Upload
17 Mbps
Latency
76 ms
City Vibrancy
9
Coworking
0
Cafes
0
Nightlife
0
Parks
9
Transport
20
Walk Score
20
Footways
39.0
Airport
HDM
Distance
5 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 2026-03-23.
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: 20/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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