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Grad Daruvar
City in Bjelovar-Bilogora, Croatia
Overview
Grad Daruvar is a charming spa town in the Bjelovar-Bilogora region, known for its rich history, thermal waters, and multicultural heritage. Compact, friendly, and scenic, it offers relaxing green spaces and a glimpse into authentic Croatian small-town life.
Geographic Context
Jurisdiction
Croatia
County
Bjelovar-Bilogora
Population
10,105
Time Zone
Europe/Zagreb
Coordinates
45.60°, 17.23°
Key Metrics
Safety Score · estimate
75
Female Safety
73
LGBTQ+ Safety
45
Traffic Safety
77
Food Safety
95
Monthly Cost · estimate
$1,056
Local Cost
$602
Local Income
$950
Cashless
60
English
42
Temperature
10.9°C
Summer Avg
21.6°C
Winter Avg
0.3°C
Record High
39.9°C
Record Low
-23.3°C
Humidity
78%
Precipitation
828 mm
Internet Speed
20 Mbps
Upload
21 Mbps
Latency
32 ms
City Vibrancy
20
Coworking
0
Cafes
10
Nightlife
2
Parks
8
Transport
13
Walk Score
13
Footways
26.0
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: 71/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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