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Dévaványa
City in Békés, Hungary
Overview
Dévaványa is a small, welcoming town in Hungary's Békés region, offering a glimpse of traditional rural life. With its relaxed pace, natural surroundings, and close-knit community, it's ideal for travelers seeking authenticity away from Hungary's busy cities.
Geographic Context
Jurisdiction
Hungary
County
Békés
Population
6,450
Time Zone
Europe/Budapest
Coordinates
47.03°, 20.97°
Key Metrics
Safety Score · estimate
75
Female Safety
70
LGBTQ+ Safety
45
Traffic Safety
80
Food Safety
87
Monthly Cost · estimate
$779
Local Cost
$475
Local Income
$620
Cashless
35
English
30
Temperature
11.8°C
Summer Avg
23.2°C
Winter Avg
0.1°C
Record High
41.1°C
Record Low
-23.8°C
Humidity
73%
Precipitation
602 mm
Internet Speed
84 Mbps
Upload
6 Mbps
Latency
25 ms
City Vibrancy
12
Coworking
0
Cafes
1
Nightlife
5
Parks
6
Transport
9
Walk Score
9
Footways
17.0
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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