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Mihail Kogălniceanu

City in Tulcea, Romania

Overview

Mihail Kogălniceanu is a small commune in Tulcea County, Romania, known for its tranquil rural atmosphere and welcoming community. Though limited in urban amenities, it offers scenic landscapes and insights into traditional Dobrujan village life.

Geographic Context

Jurisdiction
Romania
Department
Tulcea
Population
1,067
Time Zone
Europe/Bucharest
Coordinates
45.03°, 28.73°

Key Metrics

Safety Score · estimate
68
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
60
Food Safety
75
Monthly Cost · estimate
$690
Local Cost
$470
Local Income
$460
Cashless
35
English
25
Temperature
12.3°C
Summer Avg
24.2°C
Winter Avg
0.4°C
Record High
40.2°C
Record Low
-25.4°C
Humidity
72%
Precipitation
473 mm
Internet Speed
179 Mbps
Upload
189 Mbps
Latency
9 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
TCE
Distance
4 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 3 tests. Record updated 2025-12-05.
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: 48/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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