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Safadasht
City in Tehran, Iran
Overview
Safadasht is a suburban town west of Tehran, balancing residential calm with commercial activity. It's known for its proximity to industrial areas and a growing number of modern complexes. Most travelers visit for business, local experiences, or as a gateway to rural attractions.
Geographic Context
Jurisdiction
Iran
Province
Tehran
Population
—
Time Zone
Asia/Tehran
Coordinates
35.68°, 50.82°
Key Metrics
Safety Score · estimate
45
Female Safety
35
LGBTQ+ Safety
10
Traffic Safety
40
Food Safety
65
Monthly Cost · estimate
$594
Local Cost
$330
Local Income
$200
Cashless
15
English
20
Temperature
15.3°C
Summer Avg
27.7°C
Winter Avg
2.9°C
Record High
41.7°C
Record Low
-15.1°C
Humidity
45%
Precipitation
294 mm
Internet Speed
4 Mbps
Upload
0 Mbps
Latency
8 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
PYK
Distance
9 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 2026-03-22.
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.
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