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Kápolnásnyék
City in Fejér County, Hungary
Overview
Kápolnásnyék is a peaceful town in Fejér County, Hungary, known for its lakeside charm and relaxing rural atmosphere. With a close-knit community, it's ideal for nature lovers and visitors seeking a quiet escape near Velence Lake.
Geographic Context
Jurisdiction
Hungary
County
Fejér County
Population
4,087
Time Zone
Europe/Budapest
Coordinates
47.24°, 18.68°
Key Metrics
Safety Score · estimate
75
Female Safety
70
LGBTQ+ Safety
55
Traffic Safety
70
Food Safety
90
Monthly Cost · estimate
$1,089
Local Cost
$630
Local Income
$750
Cashless
60
English
40
Temperature
11.4°C
Summer Avg
22.7°C
Winter Avg
0.0°C
Record High
40.5°C
Record Low
-21.2°C
Humidity
73%
Precipitation
595 mm
Internet Speed
333 Mbps
Upload
274 Mbps
Latency
7 ms
City Vibrancy
14
Coworking
0
Cafes
1
Nightlife
5
Parks
8
Transport
19
Walk Score
19
Footways
38.0
Airport
BUD
Distance
49 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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