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Popeşti-Leordeni

City in Ilfov, Romania

Overview

Popeşti-Leordeni is a fast-growing suburb on the southern edge of Bucharest, Romania, known for its modern apartment complexes and convenient location. It offers a blend of residential calm and proximity to the vibrancy of the capital, making it attractive to commuters and families alike.

Geographic Context

Jurisdiction
Romania
Department
Ilfov
Population
53,434
Time Zone
Europe/Bucharest
Coordinates
44.38°, 26.17°

Key Metrics

Safety Score
67
Female Safety
61
LGBTQ+ Safety
42
Traffic Safety
58
Food Safety
85
Monthly Cost
$1,216
Local Cost
$730
Local Income
$830
Cashless
70
English
58
Temperature
12.2°C
Summer Avg
24.1°C
Winter Avg
-0.1°C
Record High
42.6°C
Record Low
-24.0°C
Humidity
71%
Precipitation
615 mm
Internet Speed
235 Mbps
Upload
189 Mbps
Latency
5 ms
City Vibrancy
20
Coworking
0
Cafes
10
Nightlife
2
Parks
8
Transport
0
Walk Score
0
Footways
Airport
BBU
Distance
14 km

Neighborhoods

Partial

Coverage is incomplete — additional neighborhoods are being added as more source data is processed.

Coverage is incomplete — more neighborhoods are being added.

View all 5 neighborhoods

Frequently Asked Questions

Data sources

Source-backed data

NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 6 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-05.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 5 source-backed neighborhood entities are available for this city. Updated 2026-04-05.

Estimated data

Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 72/100.

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