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Grad Novi Marof
City in Varaždin, Croatia
Overview
Grad Novi Marof is a picturesque small town in northern Croatia, set amid rolling hills and lush forests. Known for its peaceful vibe, friendly locals, and easy access to nature, it's perfect for travelers seeking an authentic rural Croatian experience.
Geographic Context
Jurisdiction
Croatia
County
Varaždin
Population
—
Time Zone
Europe/Zagreb
Coordinates
46.17°, 16.33°
Key Metrics
Safety Score · estimate
82
Female Safety
78
LGBTQ+ Safety
45
Traffic Safety
73
Food Safety
95
Monthly Cost · estimate
$1,048
Local Cost
$600
Local Income
$750
Cashless
62
English
60
Temperature
11.0°C
Summer Avg
21.8°C
Winter Avg
0.2°C
Record High
40.5°C
Record Low
-21.6°C
Humidity
79%
Precipitation
906 mm
Internet Speed
98 Mbps
Upload
35 Mbps
Latency
10 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
257.0
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 2025-12-09.
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 2026-03-21.
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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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