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Kalisz Pomorski

City in West Pomerania, Poland

Overview

Kalisz Pomorski is a small town in West Pomerania, Poland, known for its picturesque natural surroundings, charming Old Town, and tranquil pace of life. The town offers a blend of historical sites and easy access to outdoor activities.

Geographic Context

Jurisdiction
Poland
Voivodship
West Pomerania
Population
—
Time Zone
Europe/Warsaw
Coordinates
53.30°, 15.91°

Key Metrics

Safety Score · estimate
74
Female Safety
70
LGBTQ+ Safety
45
Traffic Safety
75
Food Safety
92
Monthly Cost · estimate
$1,007
Local Cost
$605
Local Income
$750
Cashless
65
English
45
Temperature
8.4°C
Summer Avg
17.8°C
Winter Avg
-1.0°C
Record High
33.4°C
Record Low
-25.1°C
Humidity
83%
Precipitation
702 mm
Internet Speed
455 Mbps
Upload
74 Mbps
Latency
4 ms
City Vibrancy
3
Coworking
0
Cafes
1
Nightlife
0
Parks
2
Transport
45
Walk Score
45
Footways
90.0
Airport
—
Distance
—

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 2025-12-09.
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: 52/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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