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Srpska Crnja

City in Central Banat, Serbia

Overview

Srpska Crnja is a small, tranquil town in the Central Banat region of Serbia, close to the border with Romania. Known for its peaceful streets, agricultural surroundings, and authentic rural Serbian atmosphere, it provides insight into traditional Vojvodina life.

Geographic Context

Jurisdiction
Serbia
District
Central Banat
Population
3,753
Time Zone
Europe/Belgrade
Coordinates
45.73°, 20.69°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
35
Traffic Safety
70
Food Safety
75
Monthly Cost · estimate
$743
Local Cost
$415
Local Income
$400
Cashless
25
English
30
Temperature
12.4°C
Summer Avg
23.6°C
Winter Avg
0.8°C
Record High
42.1°C
Record Low
-23.3°C
Humidity
71%
Precipitation
624 mm
Internet Speed
325 Mbps
Upload
56 Mbps
Latency
22 ms
City Vibrancy
5
Coworking
0
Cafes
3
Nightlife
0
Parks
2
Transport
1
Walk Score
1
Footways
2.0
Airport
—
Distance
—

Data sources

Source-backed data

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 2025-12-07.
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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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