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Cigándi Járás
City in Borsod-Abaúj-Zemplén, Hungary
Overview
Cigándi Járás is a rural region in the Borsod-Abaúj-Zemplén county of northeastern Hungary, known for its peaceful villages, lush fields, and proximity to the Tisza River. Travelers can enjoy folk traditions, local gastronomy, and tranquil countryside throughout the area.
Geographic Context
Jurisdiction
Hungary
County
Borsod-Abaúj-Zemplén
Population
—
Time Zone
Europe/Budapest
Coordinates
48.30°, 21.88°
Key Metrics
Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
35
Traffic Safety
70
Food Safety
80
Monthly Cost · estimate
$750
Local Cost
$480
Local Income
$550
Cashless
35
English
25
Temperature
9.8°C
Summer Avg
21.0°C
Winter Avg
-2.1°C
Record High
39.3°C
Record Low
-24.3°C
Humidity
77%
Precipitation
659 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
UDJ
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 2025-12-09.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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