Comuna Frata

City in Cluj, Romania

Overview

Comuna Frata is a peaceful rural commune in Cluj County, Romania, characterized by its traditional villages, scenic countryside, and friendly locals. The area offers an authentic taste of Romanian village life with its farms, historic buildings, and community events. While population data is limited, Frata is known for its agricultural heritage.

Geographic Context

Jurisdiction
Romania
Department
Cluj
Population
—
Time Zone
Europe/Bucharest
Coordinates
46.70°, 24.05°

Key Metrics

Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
60
Monthly Cost · estimate
$888
Local Cost
$460
Local Income
$430
Cashless
25
English
35
Temperature
9.2°C
Summer Avg
20.2°C
Winter Avg
-2.3°C
Record High
37.6°C
Record Low
-27.1°C
Humidity
75%
Precipitation
649 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
4.0
Airport
CLJ
Distance
30 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: 47/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.