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Tar
City in Nógrád County, Hungary
Overview
Tar is a charming small village in Nógrád County, Hungary, featuring a close-knit community, picturesque countryside, and historic landmarks. Its tranquil atmosphere attracts travelers looking for local culture and rural authenticity.
Geographic Context
Jurisdiction
Hungary
County
Nógrád County
Population
1,727
Time Zone
Europe/Budapest
Coordinates
47.95°, 19.75°
Key Metrics
Safety Score · estimate
80
Female Safety
70
LGBTQ+ Safety
40
Traffic Safety
65
Food Safety
90
Monthly Cost · estimate
$790
Local Cost
$470
Local Income
$750
Cashless
35
English
30
Temperature
9.7°C
Summer Avg
20.8°C
Winter Avg
-1.8°C
Record High
39.6°C
Record Low
-22.6°C
Humidity
77%
Precipitation
685 mm
Internet Speed
108 Mbps
Upload
15 Mbps
Latency
18 ms
City Vibrancy
3
Coworking
0
Cafes
1
Nightlife
1
Parks
1
Transport
30
Walk Score
30
Footways
60.0
Airport
LUE
Distance
43 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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