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Grad Sinj

City in Split-Dalmatia, Croatia

Overview

Grad Sinj is a charming town set in the heart of Split-Dalmatia, Croatia, well-known for its historic Sinjska Alka tournament and stunning rural landscapes. The city offers a blend of cultural heritage, active local life, and easy access to nature, making it a unique destination away from the Adriatic crowds.

Geographic Context

Jurisdiction
Croatia
County
Split-Dalmatia
Population
23,452
Time Zone
Europe/Zagreb
Coordinates
43.72°, 16.66°

Key Metrics

Safety Score · estimate
80
Female Safety
70
LGBTQ+ Safety
55
Traffic Safety
65
Food Safety
95
Monthly Cost · estimate
$1,295
Local Cost
$748
Local Income
$900
Cashless
55
English
55
Temperature
12.6°C
Summer Avg
22.4°C
Winter Avg
3.4°C
Record High
38.5°C
Record Low
-15.6°C
Humidity
73%
Precipitation
910 mm
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
SPU
Distance
35 km

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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.

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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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