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Pacanów

City in Holy Cross, Poland

Overview

Pacanów is a charming small town in Poland's Holy Cross region, famed as the home of Koziołek Matołek, a beloved fictional goat. With its fairy tale roots, historic church, and tranquil countryside, it offers a quirky mix of culture and rural life.

Geographic Context

Jurisdiction
Poland
Voivodship
Holy Cross
Population
1,074
Time Zone
Europe/Warsaw
Coordinates
50.40°, 21.04°

Key Metrics

Safety Score · estimate
75
Female Safety
65
LGBTQ+ Safety
35
Traffic Safety
65
Food Safety
80
Monthly Cost · estimate
$873
Local Cost
$502
Local Income
$775
Cashless
55
English
35
Temperature
8.8°C
Summer Avg
20.0°C
Winter Avg
-2.4°C
Record High
37.8°C
Record Low
-31.1°C
Humidity
79%
Precipitation
670 mm
Internet Speed
277 Mbps
Upload
77 Mbps
Latency
13 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
63
Walk Score
63
Footways
125.0
Airport
—
Distance
—

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 2025-12-08.
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 2026-03-22.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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