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Kiełczów

City in Lower Silesia, Poland

Overview

Kiełczów is a growing suburban village just east of Wrocław in Lower Silesia, Poland. Known for its peaceful, family-friendly vibe and proximity to nature, the town blends rural tranquility with convenient city access.

Geographic Context

Jurisdiction
Poland
Voivodship
Lower Silesia
Population
10,572
Time Zone
Europe/Warsaw
Coordinates
51.14°, 17.18°

Key Metrics

Safety Score · estimate
83
Female Safety
76
LGBTQ+ Safety
55
Traffic Safety
70
Food Safety
94
Monthly Cost · estimate
$1,208
Local Cost
$762
Local Income
$1,050
Cashless
82
English
57
Temperature
9.1°C
Summer Avg
19.5°C
Winter Avg
-1.1°C
Record High
37.8°C
Record Low
-29.2°C
Humidity
79%
Precipitation
632 mm
Internet Speed
9 Mbps
Upload
1 Mbps
Latency
26 ms
City Vibrancy
5
Coworking
0
Cafes
2
Nightlife
0
Parks
3
Transport
57
Walk Score
57
Footways
113.0
Airport
WRO
Distance
21 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 5 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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 2026-03-22.
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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