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Grad Pakrac
City in Požega-Slavonia, Croatia
Overview
Grad Pakrac is a small town in the Požega-Slavonia region of Croatia, rich in history and surrounded by natural beauty. Its peaceful atmosphere and friendly community make it an excellent destination for travelers seeking authentic Croatian charm.
Geographic Context
Jurisdiction
Croatia
County
Požega-Slavonia
Population
—
Time Zone
Europe/Zagreb
Coordinates
45.43°, 17.20°
Key Metrics
Safety Score · estimate
78
Female Safety
70
LGBTQ+ Safety
50
Traffic Safety
70
Food Safety
90
Monthly Cost · estimate
$1,185
Local Cost
$615
Local Income
$650
Cashless
40
English
40
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
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
8
Walk Score
8
Footways
15.0
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 2026-03-22.
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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