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Calafat

City in Dolj, Romania

Overview

Calafat is a small, peaceful city on the banks of the Danube in southwest Romania, blending rich history with a laid-back riverside ambiance. Its central squares, parks, and friendly local life make it an excellent stop for those looking to explore authentic Romanian culture near the Bulgarian border.

Geographic Context

Jurisdiction
Romania
Department
Dolj
Population
13,807
Time Zone
Europe/Bucharest
Coordinates
43.99°, 22.93°

Key Metrics

Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
85
Monthly Cost · estimate
$900
Local Cost
$447
Local Income
$480
Cashless
45
English
32
Temperature
12.9°C
Summer Avg
24.8°C
Winter Avg
0.6°C
Record High
44.4°C
Record Low
-24.9°C
Humidity
70%
Precipitation
628 mm
City Vibrancy
13
Coworking
0
Cafes
2
Nightlife
2
Parks
9
Transport
81
Walk Score
81
Footways
161.0
Airport
—
Distance
—

Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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Data sources

Source-backed data

OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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