Comuna Găneasa

City in Ilfov, Romania

Overview

Comuna Găneasa is a peaceful commune in Ilfov County, just northeast of Bucharest, blending rural tranquility with suburban conveniences. Known for its green spaces, traditional Romanian villages, and expanding residential developments, Găneasa attracts families and commuters seeking quiet living near the city. Local life revolves around community events, markets, and easy access to nature.

Geographic Context

Jurisdiction
Romania
Department
Ilfov
Population
—
Time Zone
Europe/Bucharest
Coordinates
44.49°, 26.30°

Key Metrics

Safety Score · estimate
77
Female Safety
70
LGBTQ+ Safety
40
Traffic Safety
60
Food Safety
75
Monthly Cost · estimate
$940
Local Cost
$585
Local Income
$700
Cashless
45
English
35
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
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BBU
Distance
16 km

Data sources

Source-backed data

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: 58/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.