Livada de Bihor
City in Bihor, Romania
Overview
Livada de Bihor is a small, peaceful village set in the picturesque Bihor region of Romania. Known for its lush countryside, friendly community, and authentic rural atmosphere, it's an ideal spot for those seeking a serene retreat. Visitors come to experience traditional Romanian life and beautiful natural surroundings.
Geographic Context
Jurisdiction
Romania
Department
Bihor
Population
1,589
Time Zone
Europe/Bucharest
Coordinates
47.01°, 21.81°
Key Metrics
Safety Score · estimate
78
Female Safety
72
LGBTQ+ Safety
40
Traffic Safety
70
Food Safety
85
Monthly Cost · estimate
$802
Local Cost
$470
Local Income
$500
Cashless
40
English
30
Temperature
11.5°C
Summer Avg
22.7°C
Winter Avg
-0.1°C
Record High
39.9°C
Record Low
-22.9°C
Humidity
73%
Precipitation
637 mm
Internet Speed
86 Mbps
Upload
92 Mbps
Latency
7 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
OMR
Distance
7 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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: 66/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.