Bácsbokod
City in Bács-Kiskun, Hungary
Overview
Bácsbokod is a small town in southern Hungary, known for its tranquil atmosphere and rural charm. It offers an authentic experience of Hungarian village life, surrounded by farmland and local traditions.
Geographic Context
Jurisdiction
Hungary
County
Bács-Kiskun
Population
2,288
Time Zone
Europe/Budapest
Coordinates
46.13°, 19.16°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
55
Traffic Safety
75
Food Safety
85
Monthly Cost · estimate
$872
Local Cost
$500
Local Income
$650
Cashless
40
English
40
Temperature
12.0°C
Summer Avg
23.3°C
Winter Avg
0.5°C
Record High
41.0°C
Record Low
-24.6°C
Humidity
72%
Precipitation
616 mm
Internet Speed
44 Mbps
Upload
37 Mbps
Latency
5 ms
City Vibrancy
9
Coworking
0
Cafes
0
Nightlife
6
Parks
3
Transport
8
Walk Score
8
Footways
16.0
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.