Ruzsa
City in Csongrád County, Hungary
Overview
Ruzsa is a peaceful rural village in Csongrád County, Hungary, celebrated for its quiet charm, agricultural traditions, and close-knit community. It provides an authentic glimpse into Hungarian village life, surrounded by the beauty of the Great Plain.
Geographic Context
Jurisdiction
Hungary
County
Csongrád County
Population
2,349
Time Zone
Europe/Budapest
Coordinates
46.29°, 19.75°
Key Metrics
Safety Score · estimate
80
Female Safety
80
LGBTQ+ Safety
45
Traffic Safety
82
Food Safety
85
Monthly Cost · estimate
$841
Local Cost
$530
Local Income
$650
Cashless
40
English
40
Temperature
11.9°C
Summer Avg
23.4°C
Winter Avg
0.2°C
Record High
41.3°C
Record Low
-23.2°C
Humidity
72%
Precipitation
596 mm
Internet Speed
17 Mbps
Upload
10 Mbps
Latency
30 ms
City Vibrancy
8
Coworking
0
Cafes
1
Nightlife
4
Parks
3
Transport
7
Walk Score
7
Footways
14.0
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 2025-12-08.
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.