This ready-to-use dataset provides the average net disposable income per capita in Poland for the year 2024, available at the municipality (gmina) level and broken out further for all 18 districts of Warsaw. It is designed to support robust socioeconomic, market, and location intelligence analysis.

Based on official Polish statistical sources and enhanced through Geolocet’s proprietary spatial modelling techniques, this dataset offers highly reliable and geographically accurate income estimates for every gmina in the country.

Key Features

• Sample dataset available for immediate download
• Geographic coverage: All municipalities (gminas) in Poland + 18 districts of Warsaw
• Data granularity: 2,476 municipalities and 18 Warsaw districts
• Average population per municipality: ~15,000 residents
• Indicators included:
  • Total population
  • Total number of households
  • Total number of employed people
  • Average net disposable income (EUR per person, per year) – categorised into 11 income ranges
• Available formats: CSV and Shapefile
• Coordinate reference system: EPSG:4326
• Ideal use cases: Market analysis, retail network planning, real estate assessment, public policy design, and academic research

Data Sources & Methodology

This dataset is based on official demographic, employment, and socioeconomic statistics published by trusted Polish institutions. However, as average net income per capita is not directly available at the municipality (gmina) or Warsaw district level, all figures in this dataset are modelled estimates produced by Geolocet’s spatial data science team.

Our modelling approach ensures full national coverage across all 2,476 gminas and 18 Warsaw districts for the year 2024, using statistically sound methods designed for small-area income estimation. The process integrates:

• Official data at higher administrative levels (e.g., voivodeship and powiat)
• Key socioeconomic predictors including population, household counts, employment rates, and related demographic variables
• Advanced spatial interpolation techniques and multi-level regression modelling
• Post-modelling validation against known regional benchmarks and historical data

This methodology delivers a consistent, accurate, and geographically detailed picture of disposable income distribution across Poland—perfect for location intelligence, market assessment, and socioeconomic research.

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