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Grad Sisak
City in Sisak-Moslavina, Croatia
Overview
Grad Sisak is a charming riverside city in central Croatia, rich in industrial heritage and Roman history. Visitors can explore historic fortifications, lush parks, and lively local cafes along the Kupa and Sava rivers.
Geographic Context
Jurisdiction
Croatia
County
Sisak-Moslavina
Population
—
Time Zone
Europe/Zagreb
Coordinates
45.50°, 16.37°
Key Metrics
Safety Score · estimate
65
Female Safety
65
LGBTQ+ Safety
45
Traffic Safety
65
Food Safety
75
Monthly Cost · estimate
$1,266
Local Cost
$672
Local Income
$750
Cashless
65
English
55
Temperature
11.4°C
Summer Avg
22.1°C
Winter Avg
0.8°C
Record High
41.1°C
Record Low
-21.5°C
Humidity
80%
Precipitation
1008 mm
Internet Speed
177 Mbps
Upload
100 Mbps
Latency
6 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
356.0
Airport
ZAG
Distance
36 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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