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Vranić

City in Belgrade, Serbia

Overview

Vranić is a small, tranquil suburb of Belgrade that offers visitors a glimpse of Serbian village life just outside the capital. It's known for its peaceful streets, friendly locals, and blend of rural and suburban charm.

Geographic Context

Jurisdiction
Serbia
City
Belgrade
Population
3,044
Time Zone
Europe/Belgrade
Coordinates
44.60°, 20.33°

Key Metrics

Safety Score · estimate
70
Female Safety
58
LGBTQ+ Safety
38
Traffic Safety
62
Food Safety
85
Monthly Cost · estimate
$803
Local Cost
$500
Local Income
$500
Cashless
33
English
28
Temperature
12.0°C
Summer Avg
23.1°C
Winter Avg
0.7°C
Record High
43.6°C
Record Low
-23.9°C
Humidity
74%
Precipitation
739 mm
Internet Speed
19 Mbps
Upload
2 Mbps
Latency
15 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BEG
Distance
24 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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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