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Topolog

City in Tulcea, Romania

Overview

Topolog is a peaceful small town in the heart of Tulcea County, Romania, known for its rural charm, friendly residents, and proximity to scenic landscapes. It is a gateway to the beautiful Danube Delta region and offers an authentic slice of Romanian country life.

Geographic Context

Jurisdiction
Romania
Department
Tulcea
Population
3,958
Time Zone
Europe/Bucharest
Coordinates
44.88°, 28.37°

Key Metrics

Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
80
Monthly Cost · estimate
$798
Local Cost
$445
Local Income
$500
Cashless
35
English
25
Temperature
12.1°C
Summer Avg
24.3°C
Winter Avg
-0.1°C
Record High
42.3°C
Record Low
-25.6°C
Humidity
71%
Precipitation
494 mm
Internet Speed
50 Mbps
Upload
54 Mbps
Latency
13 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TCE
Distance
34 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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