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Jihlava

City in Kraj Vysočina, Czechia

Overview

Jihlava is a historic city in the Vysočina region, renowned for its silver mining past, medieval architecture, and lively town squares. Its compact center offers a blend of heritage sites, busy cafés, and local charm, making it ideal for both sightseeing and relaxed exploration.

Geographic Context

Jurisdiction
Czechia
Region
Kraj Vysočina
Population
54,624
Time Zone
Europe/Prague
Coordinates
49.40°, 15.59°

Key Metrics

Safety Score
80
Female Safety
75
LGBTQ+ Safety
70
Traffic Safety
78
Food Safety
95
Monthly Cost
$1,422
Local Cost
$720
Local Income
$1,100
Cashless
80
English
60
Temperature
7.5°C
Summer Avg
17.6°C
Winter Avg
-2.5°C
Record High
35.4°C
Record Low
-28.6°C
Humidity
82%
Precipitation
712 mm
Internet Speed
104 Mbps
Upload
73 Mbps
Latency
14 ms
City Vibrancy
109
Coworking
0
Cafes
25
Nightlife
60
Parks
24
Transport
100
Walk Score
100
Footways
1622.0
Airport
Distance

Neighborhoods

Mapped

23 neighborhoods sourced from Overture Maps and OpenStreetMap.

View all 23 neighborhoods

Frequently Asked Questions

Data sources

Source-backed data

NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
World Air Quality Index - Latest available city-level air quality station measurement. Updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 36 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-06.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 23 source-backed neighborhood entities are available for this city. Updated 2026-04-05.

Estimated data

Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 77/100.

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