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Kanjiža

City in North Banat, Serbia

Overview

Kanjiža is a charming riverside town in northern Serbia, known for its healing thermal waters, friendly atmosphere, and Hungarian-influenced culture. Life moves at a relaxed pace here, making it an ideal spot to unwind and enjoy authentic Vojvodina hospitality.

Geographic Context

Jurisdiction
Serbia
District
North Banat
Population
9,871
Time Zone
Europe/Belgrade
Coordinates
46.07°, 20.05°

Key Metrics

Safety Score · estimate
78
Female Safety
75
LGBTQ+ Safety
45
Traffic Safety
81
Food Safety
88
Monthly Cost · estimate
$827
Local Cost
$520
Local Income
$520
Cashless
44
English
38
Temperature
12.1°C
Summer Avg
23.4°C
Winter Avg
0.6°C
Record High
41.3°C
Record Low
-25.1°C
Humidity
72%
Precipitation
605 mm
Internet Speed
26 Mbps
Upload
6 Mbps
Latency
12 ms
City Vibrancy
8
Coworking
0
Cafes
0
Nightlife
0
Parks
8
Transport
33
Walk Score
33
Footways
66.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 6 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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