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Gołańcz

City in Greater Poland, Poland

Overview

Gołańcz is a peaceful small town in Greater Poland, Poland, known for its historic charm and friendly atmosphere. With its compact size, visitors can easily explore local heritage sites, lush parks, and welcoming community venues.

Geographic Context

Jurisdiction
Poland
Voivodship
Greater Poland
Population
3,194
Time Zone
Europe/Warsaw
Coordinates
52.94°, 17.30°

Key Metrics

Safety Score · estimate
79
Female Safety
69
LGBTQ+ Safety
39
Traffic Safety
73
Food Safety
90
Monthly Cost · estimate
$875
Local Cost
$530
Local Income
$820
Cashless
67
English
38
Temperature
8.6°C
Summer Avg
19.0°C
Winter Avg
-1.6°C
Record High
36.4°C
Record Low
-29.7°C
Humidity
81%
Precipitation
614 mm
Internet Speed
69 Mbps
Upload
70 Mbps
Latency
10 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
55
Walk Score
55
Footways
110.0
Airport
BZG
Distance
49 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 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: 54/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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