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Kamionka

City in Lublin, Poland

Overview

Kamionka is a quaint village in the Lublin region of eastern Poland, known for its peaceful atmosphere and close-knit community. Surrounded by forests and fields, Kamionka offers a taste of rural Poland with charming local traditions and nature.

Geographic Context

Jurisdiction
Poland
Voivodship
Lublin
Population
916
Time Zone
Europe/Warsaw
Coordinates
51.47°, 22.46°

Key Metrics

Safety Score · estimate
82
Female Safety
70
LGBTQ+ Safety
45
Traffic Safety
75
Food Safety
92
Monthly Cost · estimate
$897
Local Cost
$540
Local Income
$830
Cashless
45
English
35
Temperature
8.5°C
Summer Avg
19.8°C
Winter Avg
-2.9°C
Record High
37.2°C
Record Low
-34.5°C
Humidity
79%
Precipitation
641 mm
Internet Speed
12 Mbps
Upload
5 Mbps
Latency
21 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
20
Walk Score
20
Footways
39.0
Airport
LUZ
Distance
31 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 3 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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 2026-03-23.
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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