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Fadd
City in Tolna County, Hungary
Overview
Fadd is a charming village in Tolna County, Hungary, known for its tranquil atmosphere and proximity to the Danube River. Its friendly community and green surroundings make it ideal for those seeking relaxation and authentic rural Hungarian life.
Geographic Context
Jurisdiction
Hungary
County
Tolna County
Population
4,035
Time Zone
Europe/Budapest
Coordinates
46.46°, 18.82°
Key Metrics
Safety Score · estimate
80
Female Safety
67
LGBTQ+ Safety
45
Traffic Safety
82
Food Safety
90
Monthly Cost · estimate
$1,063
Local Cost
$562
Local Income
$575
Cashless
50
English
35
Temperature
11.5°C
Summer Avg
22.6°C
Winter Avg
0.2°C
Record High
41.1°C
Record Low
-20.4°C
Humidity
73%
Precipitation
619 mm
Internet Speed
159 Mbps
Upload
192 Mbps
Latency
11 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
4
Walk Score
4
Footways
8.0
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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