Oraş Mãcin

City in Tulcea, Romania

Overview

Oraş Măcin is a small town in Tulcea County, Romania, set at the edge of the Măcin Mountains. Renowned for its quiet charm and easy access to natural parks, the city blends rustic Romanian culture with approachable amenities, making it a gateway for outdoor enthusiasts.

Geographic Context

Jurisdiction
Romania
Department
Tulcea
Population
—
Time Zone
Europe/Bucharest
Coordinates
45.25°, 28.14°

Key Metrics

Safety Score · estimate
68
Female Safety
70
LGBTQ+ Safety
32
Traffic Safety
65
Food Safety
83
Monthly Cost · estimate
$853
Local Cost
$472
Local Income
$600
Cashless
38
English
22
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
453 Mbps
Upload
458 Mbps
Latency
17 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Transport
5
Walk Score
5
Footways
10.0
Airport
TCE
Distance
50 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 2025-12-09.
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: 54/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.