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Grad Novska
City in Sisak-Moslavina, Croatia
Overview
Grad Novska is a small city in Croatia's Sisak-Moslavina region, known for its relaxed pace, friendly locals, and proximity to natural attractions. Its local charm and green surroundings make it appealing to those seeking an authentic Croatian experience away from big city crowds.
Geographic Context
Jurisdiction
Croatia
County
Sisak-Moslavina
Population
—
Time Zone
Europe/Zagreb
Coordinates
45.33°, 17.00°
Key Metrics
Safety Score · estimate
75
Female Safety
70
LGBTQ+ Safety
60
Traffic Safety
82
Food Safety
90
Monthly Cost · estimate
$974
Local Cost
$595
Local Income
$800
Cashless
50
English
35
Temperature
11.5°C
Summer Avg
22.1°C
Winter Avg
0.9°C
Record High
41.0°C
Record Low
-22.9°C
Humidity
78%
Precipitation
879 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
4.0
Airport
BNX
Distance
49 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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