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Jabłonna

City in Mazovia, Poland

Overview

Jabłonna is a small rural village in the Mazovia region of Poland, known for its quiet charm, traditional Polish atmosphere, and beautiful countryside. With under 350 residents, it's an ideal spot for relaxation and experiencing local life away from tourist crowds.

Geographic Context

Jurisdiction
Poland
Voivodship
Mazovia
Population
324
Time Zone
Europe/Warsaw
Coordinates
52.38°, 20.92°

Key Metrics

Safety Score · estimate
82
Female Safety
78
LGBTQ+ Safety
55
Traffic Safety
80
Food Safety
97
Monthly Cost · estimate
$965
Local Cost
$620
Local Income
$900
Cashless
63
English
60
Temperature
8.5°C
Summer Avg
19.3°C
Winter Avg
-2.5°C
Record High
36.6°C
Record Low
-30.7°C
Humidity
80%
Precipitation
613 mm
Internet Speed
175 Mbps
Upload
157 Mbps
Latency
5 ms
City Vibrancy
9
Coworking
0
Cafes
5
Nightlife
0
Parks
4
Transport
100
Walk Score
100
Footways
240.0
Airport
WMI
Distance
20 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 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: 77/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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