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Comuna Cârţa

City in Harghita, Romania

Overview

Comuna Cârţa is a tranquil village in Harghita County, Romania, known for its rich Transylvanian heritage and the medieval Cârţa Monastery. Surrounded by scenic countryside, it offers visitors a peaceful retreat and authentic local experiences.

Geographic Context

Jurisdiction
Romania
Department
Harghita
Population
—
Time Zone
Europe/Bucharest
Coordinates
46.54°, 25.76°

Key Metrics

Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
80
Monthly Cost · estimate
$944
Local Cost
$533
Local Income
$500
Cashless
20
English
25
Temperature
6.4°C
Summer Avg
17.2°C
Winter Avg
-4.8°C
Record High
33.7°C
Record Low
-26.8°C
Humidity
80%
Precipitation
707 mm
Internet Speed
83 Mbps
Upload
14 Mbps
Latency
14 ms
City Vibrancy
5
Coworking
0
Cafes
0
Nightlife
1
Parks
4
Transport
14
Walk Score
14
Footways
27.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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