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TwitterThis statistic shows the household net adjusted annual disposable income of selected European countries, in U.S. dollars. Luxembourg had the highest annual income at over **** thousand US dollars, while Russia was the lowest at just over ** thousand US dollars.
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Disposable Personal Income In the Euro Area increased to 2421891 EUR Million in the second quarter of 2025 from 2398215 EUR Million in the first quarter of 2025. This dataset provides the latest reported value for - Euro Area Disposable Personal Income - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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TwitterIn the second quarter of 2024, the real disposable income of households in the European Union grew by *** percent compared to the previous quarter.
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European Union - The real gross disposable income of households per capita (index = 2008) was EUR114.29 Million in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for European Union - The real gross disposable income of households per capita (index = 2008) - last updated from the EUROSTAT on December of 2025. Historically, European Union - The real gross disposable income of households per capita (index = 2008) reached a record high of EUR114.29 Million in December of 2024 and a record low of EUR96.09 Million in December of 2005.
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TwitterAs of 2022, ******* was the European country which had the greatest share of its household income made up by wages and salaries. At the same time, Denmark had the most heavily taxed household, with taxes being worth over ******* of gross household income. Countries such as *************, and ******, on the other hand, saw much smaller shares of household income being contributed by wages and salaries, with households in these countries receiving greater contributions from operating surplus and mixed income - i.e. income earned from the ownership of a business or through self-employment. In Greece, this is, in fact, larger than the contribution of wages and salaries, reflecting the importance of small businesses and self-employment to the Greek economy.
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European National Net Disposable Income by Country, 2023 Discover more data with ReportLinker!
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The European Union Statistics on Income and Living Conditions (EU-SILC) collects timely and comparable multidimensional microdata on income, poverty, social exclusion and living conditions.
The EU-SILC collection is a key instrument for providing information required by the European Semester ([1]) and the European Pillar of Social Rights, and the main source of data for microsimulation purposes and flash estimates of income distribution and poverty rates.
AROPE remains crucial to monitor European social policies, especially to monitor the EU 2030 target on poverty and social exclusion. For more information, please consult EU social indicators.
The EU-SILC instrument provides two types of data:
EU-SILC collects:
The variables collected are grouped by topic and detailed topic and transmitted to Eurostat in four main files (D-File, H-File, R-File and P-file).
The domain ‘Income and Living Conditions’ covers the following topics: persons at risk of poverty or social exclusion, income inequality, income distribution and monetary poverty, living conditions, material deprivation, and EU-SILC ad-hoc modules, which are structured into collections of indicators on specific topics.
In 2023, in addition to annual data, in EU-SILC were collected: the three yearly module on labour market and housing, the six yearly module on intergenerational transmission of advantages and disadvantages, housing difficulties, and the ad hoc subject on households energy efficiency.
Starting from 2021 onwards, the EU quality reports use the structure of the Single Integrated Metadata Structure (SIMS).
([1]) The European Semester is the European Union’s framework for the coordination and surveillance of economic and social policies.
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TwitterNet wages were the greatest contributor to household disposable income in the European Union in 2023, followed by social benefits. Net wages' share of household income has been rising consistently since 2012, when it was 34.5 percent, to reach 36.8 percent in the most recent year. Social benefits and transfers saw a sharp uptick in 2020, when governments across the EU increased support to citizens due to the economic impact of the COVID-19 pandemic, while taxes were reduced. Since then, however, benefits and transfers to households have been reduced, while taxes have slowly risen again.
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The Gini coefficient is defined as the relationship of cumulative shares of the population arranged according to the level of equivalised disposable income, to the cumulative share of the equivalised total disposable income received by them.
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Replication data and code for the publication : High-resolution Downscaling of Disposable Income in Europe using Open-source Data
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We present here a new dataset of per capita disposable income for 42 European countries (and more than 120,000 administrative units at the subnational level), over the 2010-2020 period (with few additional years for some countries). This dataset was created by harmonizing disparate income data (net earnings, gross income, disposable income, etc.) gathered from national statistical institutes across Europe. Disposable income was converted to constant 2015 EU27 PPP€ to adjust for the costs of living and inflation across countries and to allow comparability over time. Total population and a measure of income inequality (Gini index) are also provided for subnational administrative units. Users can download the aggregated dataset covering the whole years (Disposable_Inc_DB.gpkg) or yearly files.
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This dataset provides values for DISPOSABLE PERSONAL INCOME reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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European National Net Disposable Income Share by Country (Million Euros), 2023 Discover more data with ReportLinker!
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Gross national disposable income (ESA 2010, 8.95) is the sum of the gross disposable incomes of the institutional sectors. It is equal to: Gross national income (at market prices) + current transfers receivable by resident units from the rest of the world - current transfers payable to non-resident units from the rest of the world. Values are seasonally and calendar adjusted (SCA). The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology.
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European Union - Gini coefficient of equivalised disposable income was 29.40% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for European Union - Gini coefficient of equivalised disposable income - last updated from the EUROSTAT on December of 2025. Historically, European Union - Gini coefficient of equivalised disposable income reached a record high of 30.90% in December of 2014 and a record low of 29.40% in December of 2024.
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Income, consumption and wealth (ICW) statistics are experimental statistics computed by Eurostat through the statistical matching of three data sources: the EU Statistics on Income and Living Conditions (EU-SILC), the Household Budget Survey (HBS) and the Household Finance and Consumption Survey (HFCS). These statistics enable us to observe at the same time the income that households receive, their expenditures and their accumulated wealth.
The annual collection of EU-SILC was launched in 2003 and is governed by Regulation 1700/2019 (previously: Regulation 1177/2003) of the European Parliament and of the Council. The EU-SILC collects cross-sectional and longitudinal information on income. HBS is a survey conducted every 5 years on the basis of an agreement between Eurostat, the Member States and EFTA countries. Data are collected using national questionnaires and, in most cases, expenditure diaries that respondents are asked to keep over a certain period of time. HFCS collects information on assets, liabilities, and to a limited extent income and consumption, of households. The survey is run by National Central Banks and coordinated by the European Central Bank.
This page focuses on the main issues of importance for the use and interpretation of ICW statistics. Information on the primary data sources can be found on the respective EU-SILC and HBS metadata pages and following the links provided in the sections 'related metadata' and 'annexes' below.
Experimental ICW statistics cover six topics: household economic resources, affordability of essential services, saving rates, poverty, household characteristics and taxation. Each topic contains several indicators with a number of different breakdowns, mainly by income quantile, by the age group of the household reference person, by household type, by the educational attainment level of the reference person, by the activity status of the reference person and by the degree of urbanization of the household. The indicators provide information on the joint distribution of income, consumption and wealth and the links between these three economic dimensions. They help to describe households' economic vulnerability and material well-being. They also help to explain the dynamics of wealth inequalities.
All indicators are to be understood to describe households, not persons. Breakdowns by age group, educational attainment level and activity status refer to the household reference person, which is the person with the highest income. The only exception are the tables icw_pov_01, icw_pov_10, icw_pov_11 and icw_pov_12 for which the income, consumption and wealth of households have been equivalised such that equal shares were attributed to each household member. Values in tables icw_aff are calculated for households reporting non-zero values only.
Note on table icw _res_01 and icw_res_02: The indicator “Households” [HH] in icw_res_01 shows the share of households in the selection, which hold the corresponding shares of total disposable income [INC_DISP], consumption expenditure [EXPN_CONS] and net wealth [WLTH_NET] of the entire population. In theory, turning two of the three dimensions [quant_inc, quant_expn, quant_wlth] to TOTAL and the third one to any quintile, should result into a share of 20% of households. Nevertheless, this share is often below or above 20% of the total population of households in the country. The reason for this is that our figures are based on sample surveys. This means that the share of households corresponds indeed to 20% of households in the sample, however when we multiply each household of the sample with its sampling weight, the resulting shares of households in the total population differ from the 20%. If, for example, we disregard the income and wealth of households in our sample, the first consumption quintile contains the 20% of households with lowest consumption in the sample. However, multiplying this selection of households with their corresponding sampling weights may result into a different share of the total population. The “Households” [HH] indicator indicates the real share of households in the population that make up the theoretical quintile.
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TwitterHousehold energy costs as a share of gross disposable income in the European Union are forecast to reach ** percent in 2023. This represents a nearly three-fold increase compared to 2021 and comes in the wake of supply disruptions following the Russia-Ukraine war. Energy prices have already increased significantly throughout 2022, with higher power and gas demand in the winter months likely to impact prices further.
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TwitterThe indicator reflects the purchasing power of households and their ability to invest in goods and services or save for the future, by accounting for taxes and social contributions and monetary in-kind social benefits. It is calculated as the adjusted gross disposable income of households and Non-Profit Institutions Serving Households (NPISH) divided by the purchasing power parities (PPP) of the actual individual consumption of households and by the total resident population. The values are also offered as an index calculated in relation to the European Union average set to equal 100. If the index of a country is higher than 100, this country's level of adjusted gross disposable income of households per person is higher than the EU average and vice versa. Please note that this index is intended for cross-country comparisons rather than for temporal comparisons. Finally, the disparities indicator offered for EU27 (from 2020) is calculated as the coefficient of variation of the national figures. This time series offers a measure of the convergence of household income between the Member States of the EU.
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TwitterThe indicator measures the extent to which the distribution of income among individuals or households within a society deviates from a perfectly equal distribution. It ranges from 0 to 100, where 0 represents perfect equality (everyone has the same income) and 100 represents maximum inequality (all income is accrued by a single household). It can be calculated by plotting the cumulative income share on the vertical axis against the distribution of the population on the horizontal axis, thus obtaining a so-called Lorenz curve. The Gini coefficient is then calculated as the area under the curve divided by the area under the Lorenz curve of an equal distribution of income.
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Poland - Gross disposable income was EUR217339.00 Million in June of 2025, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Poland - Gross disposable income - last updated from the EUROSTAT on December of 2025. Historically, Poland - Gross disposable income reached a record high of EUR217339.00 Million in June of 2025 and a record low of EUR117064.00 Million in June of 2020.
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TwitterThis statistic shows the household net adjusted annual disposable income of selected European countries, in U.S. dollars. Luxembourg had the highest annual income at over **** thousand US dollars, while Russia was the lowest at just over ** thousand US dollars.