Bărcăneşti

City in Prahova, Romania

Overview

Bărcăneşti is a quiet commune just south of Ploieşti in Prahova County, Romania, known for its rural charm and proximity to both the capital and cultural attractions like the Ghighiu Monastery. The area blends peaceful village life with easy access to city conveniences.

Geographic Context

Jurisdiction
Romania
Department
Prahova
Population
8,762
Time Zone
Europe/Bucharest
Coordinates
44.88°, 26.05°

Key Metrics

Safety Score · estimate
73
Female Safety
65
LGBTQ+ Safety
45
Traffic Safety
60
Food Safety
80
Monthly Cost · estimate
$859
Local Cost
$518
Local Income
$500
Cashless
35
English
38
Temperature
11.3°C
Summer Avg
23.0°C
Winter Avg
-0.4°C
Record High
41.0°C
Record Low
-24.5°C
Humidity
71%
Precipitation
643 mm
Internet Speed
193 Mbps
Upload
169 Mbps
Latency
4 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
7
Walk Score
7
Footways
14.0
Airport
OTP
Distance
35 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 10 tests. 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: 58/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.