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Martin

City in Osijek-Baranja, Croatia

Overview

Martin is a peaceful village in Osijek-Baranja, Croatia, known for its rural charm and authentic local culture. With under 1,000 residents, it offers a relaxing escape surrounded by scenic fields and friendly neighbors. Its pace is leisurely, making it a perfect spot to unwind and experience Croatian country life.

Geographic Context

Jurisdiction
Croatia
County
Osijek-Baranja
Population
945
Time Zone
Europe/Zagreb
Coordinates
45.49°, 18.07°

Key Metrics

Safety Score · estimate
78
Female Safety
68
LGBTQ+ Safety
35
Traffic Safety
70
Food Safety
85
Monthly Cost · estimate
$932
Local Cost
$590
Local Income
$800
Cashless
48
English
42
Temperature
11.6°C
Summer Avg
22.6°C
Winter Avg
0.6°C
Record High
40.6°C
Record Low
-23.3°C
Humidity
75%
Precipitation
729 mm
Internet Speed
49 Mbps
Upload
6 Mbps
Latency
15 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0

Data sources

Source-backed data

World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-06.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.

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 2026-03-23.
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: 52/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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