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Opava
City in Moravskoslezský kraj, Czechia
Overview
Opava, the historical heart of Silesia, blends charming traditions with modern facilities. Its elegant city center, rich culture, and lively student presence make it both lively and welcoming. The city is known for its green spaces and convenient location near the Polish border.
Geographic Context
Jurisdiction
Czechia
Region
Moravskoslezský kraj
Population
55,109
Time Zone
Europe/Prague
Coordinates
49.94°, 17.90°
Key Metrics
Safety Score
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
78
Food Safety
95
Monthly Cost
$1,472
Local Cost
$830
Local Income
$1,050
Cashless
75
English
50
Temperature
8.6°C
Summer Avg
19.2°C
Winter Avg
-2.0°C
Record High
36.6°C
Record Low
-28.8°C
Humidity
80%
Precipitation
703 mm
Internet Speed
38 Mbps
Upload
38 Mbps
Latency
14 ms
City Vibrancy
36
Coworking
0
Cafes
9
Nightlife
11
Parks
16
Transport
0
Walk Score
0
Footways
—
Airport
ZBE
Distance
12 km
Explore
Neighborhoods
Mapped18 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 18 neighborhoodsFrequently 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 21 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 2025-12-05.
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 - 18 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 78/100.
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