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Hajós
City in Bács-Kiskun, Hungary
Overview
Hajós is a charming small town in southern Hungary, best known for its network of traditional wine cellars and its lively local traditions. Rich with history and set among vineyard landscapes, it's the perfect destination for those seeking rural tranquility and authentic Hungarian culture.
Geographic Context
Jurisdiction
Hungary
County
Bács-Kiskun
Population
2,684
Time Zone
Europe/Budapest
Coordinates
46.40°, 19.12°
Key Metrics
Safety Score · estimate
82
Female Safety
70
LGBTQ+ Safety
35
Traffic Safety
75
Food Safety
88
Monthly Cost · estimate
$964
Local Cost
$534
Local Income
$700
Cashless
45
English
27
Temperature
11.8°C
Summer Avg
23.2°C
Winter Avg
0.2°C
Record High
41.5°C
Record Low
-20.2°C
Humidity
72%
Precipitation
611 mm
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
1
Parks
0
Transport
5
Walk Score
5
Footways
10.0
Airport
—
Distance
—
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 2025-12-07.
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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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