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Jabłonna
City in Greater Poland, Poland
Overview
Jabłonna is a small and tranquil village in Greater Poland with a population of just over 300. It offers a relaxed rural atmosphere, scenic fields, and a friendly local community, making it a pleasant stop for those seeking peaceful retreats and an authentic Polish countryside experience.
Geographic Context
Jurisdiction
Poland
Voivodship
Greater Poland
Population
324
Time Zone
Europe/Warsaw
Coordinates
52.21°, 16.21°
Key Metrics
Safety Score · estimate
84
Female Safety
78
LGBTQ+ Safety
47
Traffic Safety
82
Food Safety
94
Monthly Cost · estimate
$745
Local Cost
$438
Local Income
$800
Cashless
42
English
30
Temperature
9.5°C
Summer Avg
19.7°C
Winter Avg
-0.6°C
Record High
38.1°C
Record Low
-27.7°C
Humidity
78%
Precipitation
589 mm
Internet Speed
353 Mbps
Upload
62 Mbps
Latency
14 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
2
Parks
0
Transport
12
Walk Score
12
Footways
24.0
Airport
IEG
Distance
29 km
Explore
Data sources
Source-backed data
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: 33/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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