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Zalalövő
City in Zala County, Hungary
Overview
Zalalövő is a charming small town in Zala County, Hungary, known for its scenic lake, tranquil atmosphere, and rich local history. It offers a blend of natural beauty and authentic rural Hungarian culture in a peaceful setting.
Geographic Context
Jurisdiction
Hungary
County
Zala County
Population
2,698
Time Zone
Europe/Budapest
Coordinates
46.85°, 16.59°
Key Metrics
Safety Score · estimate
85
Female Safety
78
LGBTQ+ Safety
45
Traffic Safety
92
Food Safety
88
Monthly Cost · estimate
$866
Local Cost
$543
Local Income
$710
Cashless
40
English
28
Temperature
10.8°C
Summer Avg
21.8°C
Winter Avg
-0.1°C
Record High
41.1°C
Record Low
-25.4°C
Humidity
76%
Precipitation
668 mm
Internet Speed
208 Mbps
Upload
69 Mbps
Latency
7 ms
City Vibrancy
8
Coworking
0
Cafes
0
Nightlife
5
Parks
3
Transport
8
Walk Score
8
Footways
16.0
Airport
SOB
Distance
47 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 2025-12-07.
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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