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Archive:Income components statistics

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Data extracted in May 2016. Most recent data: Further Eurostat information, Main tables and Database. Planned article update: May 2017.

This article analyses recent statistics on income components in the European Union (EU). While statistics measuring the poverty, deprivation, work intensity are widely disseminated by Eurostat, data on income, collected at a very detailed level are currently not completely exploited.

The aim of this article is to improve the income distribution dissemination so as to help the general public to better understand what the distribution of income is in each country and across Europe, providing key information especially during periods of crisis and thus raising the relevance of EU-SILC data on income.

For this article, the total household gross income, income components and their means and shares are calculated for 2014. The total household gross income is further broken down into (i) income from employment, (ii) income from pensions, (ii) income from benefits and allowances and (iv) income from other sources. For the analysis of the income components, we look at the breakdowns by different subpopulations such as income quintiles, household composition and the degree of urbanisation (for detailed definitions see section 2 Data sources and availability below).

Figure 1: Shares of income components EU-28, 2014
Source: Eurostat (????)
Figure 2: Share of income components by income quintiles groups EU-28, 2014
Source: Eurostat (????)
Figure 3: Shares of income components, 2014
Source: Eurostat (????)
Table 1: Shares of income components by quintile 1 and quintile 5, 2014
Source: Eurostat (????)
Table 2: Income components of households, 2014
Source: Eurostat (????)
Figure 4: Share of income components by household types EU-28, 2014
Source: Eurostat (????)
Table 3: Shares of income components by household types, 2014
Source: Eurostat (????)
Figure 5: Shares of income components by degree of urbanisation EU-28, 2014
Source: Eurostat (????)
Table 4: Share of income components, by degree of urbanisation, 2014
Source: Eurostat (????)


Main statistical findings

Distribution by sources of income by quintile income groups

In 2014, the main source of income in the EU-28, is employment (68%), followed by pensions (20.6%); benefits (6.8%) and other sources (4.5%), as shown in Figure 1. The distribution of income components across quintiles for the EU-28 follows a slightly different pattern: Although work remains the main source of income; the shares range from 43.5 percent for the lowest (first) quintile to 75.3 percent for the highest (fifth) quintile. The second biggest disparity across the quintiles can be observed in the income from benefits: it is households in the first income quintile which receive the highest share if its total income from this source (26.9 %), whereas the lowest share (2.7%) is observed in the sub-population receiving the highest share of income (fifth quintile). Regarding the two remaining sources of income, pensions and other sources, the differences in rates are not as wide with the highest quintile receiving 15.3 percent of its income from pensions comparing to the 25.4 percent for the first quintile. The highest share for pensions (30.5%) is received by second quintile. Regarding income coming from other sources, its highest share is received by the fifth quintiles; followed by the first quintile while second and third quintiles receive the same share of 2.9 percent (also shown in Figure 2).

The majority of EU Member States report a similar pattern (also shown in Figure 3). Work constitutes the main source of income relative to all the income components for households across all the member and non-member states ranging from 63.2 percent in Greece to 77 percent in Estonia. The differences in income shares originating from pensions were wider across the countries (from 13.4% in Estonia to 28.7 % in Greece); followed by benefits (2.9 % in Greece to 13.6 % in Ireland) whereas the income from other sources constitutes a relative small share of the households’ total income on average across all the EU Member States, lowest being in Romania (0.5 %) and highest in Cyprus (5.2 %) (see also Figure 3).

The data show that in all the Member States, the top 20% households’(with highest equalized disposable income) main source of income is employment, ranging from 57.3% in France to 90.5 % in Estonia. The composition and shares of income sources show a certain variation when we look at the bottom 20 % households (with the lowest equalized disposable income or first quintile). In six Member States, we can observe that the households with the lowest share of equalized disposable income, have other income sources than employment. In Latvia and Estonia it is pensions that make the biggest share of income for these households (42.8 % and 45.6 % respectively) whereas in Denmark (38.6%), Belgium (40 %), Finland (38.9%) and Ireland (60.4 %) benefits exceed the employment share (as also shown in Table 1). Pensions as source of income among the households with the highest share of income (top 20%) show a relative low share with the lowest being in Estonia (2.7 %) and the highest being Portugal (22.9 %). Pensions play much bigger role among the bottom 20% of households ranging from 10 to 50 percent (10.5 % in Luxembourg to 45.6% in Estonia). In about half of the Member States, pensions as a source of income constitute a smaller share than benefits among the bottom 20% of households, as can be seen in the Table 1. Among the richest share of the population (as measure by the share of disposable equalized income), the benefits make a small portion per household with the lowest being Greece (1.1 %) and highest observed in Cyprus (9.1 %). Contrary, benefits make between 10 % to 60 % of the households total gross income for the households belonging to the first (lowest) income quintile. In eleven Member States, households have more than 30 percent share of income from benefits (Hungary, Spain, Luxembourg, Germany, Sweden, United Kingdom, the Netherlands, Denmark, Finland, Belgium and Ireland, see also Table 1). Regarding the income component ‘other’, it is observed among the top 20 % of the population with the highest share among the French richest households (18.9%) whereas among the bottom 20% the component ‘other’ make between 0 to 8 % of the households income with the highest observed in Cyprus (8.4%).

Looking at the means and medians measures for the different income components at EU28 level, which give us a simple measure of the income inequality , most households in the EU-28 have a lower income regardless of the source compared to the mean (also shown in Table 2). The biggest disparity between the average and the median is found for the income component other sources for across all the quintiles with the largest being in fifth quintile (ratio 6 to1); followed by benefits, work and pensions. Work, as source of income, is most unequally distributed within the poorest (first) quintile with mean to median ratio 1.15 followed by the richest (fifth) quintile with 1.12 ratio. For the other income components we observe the biggest disparity between mean and median in first and fight quintile in the income coming from other sources (ratio 4.36 and 4.10 respectively) and benefits (1.02 and 2.14 respectively).

Distribution by sources of income by household types

The income components are not uniformly distributed between households with different composition of adults and dependent children, as can be seen from Figure 4. For the EU-28 as a whole, households with dependent children is the group whose total gross income is to a greatest share based on employment (84.2%), followed by households composing of a single person with dependent children (65.9%). The share of benefits is highest among the group of single persons with children (22.1%). At the other hand, pensions as source of income make a greatest share for households which comprise of a single person without children (35.9%) as well as households without children regardless of the number of adults (31.9% ). The share of income source ‘other’ is greatest for single person household with dependent children (8.1%), followed by single persons (6.18%), and then households without children (5.3%) and lastly with people with dependent children (3.2%). In summary, we can see that employment is the main source of income for households with children and for single persons with children. This picture is also confirmed at the country level, i.e. households with children have a highest share of employment of their total gross income in all the Member States and non-member states This is also the case for single persons with dependent children with the exception of UK, Ireland and Cyprus where single person households have a slightly higher share of employment as an income source (the difference is 3.8 pp, 3.7 pp, 2.9 pp respectively). A similar pattern apply for benefits, i.e. if there are children in a household (both for a single person and in total), the share of benefits is higher comparing to households without children (for both single persons and in total) with only two exceptions, namely Denmark and the Netherlands in which households without children have a slightly higher share of benefits of its total gross income (as shown in Table 3).

Distribution by sources of income by degree of urbanisation

At the EU-28 level, there is almost no difference in the EU-28 rates for the different income components between the three types of areas, i.e. the densely populated areas (cities), the intermediate urbanised area (towns and suburbs) and the thinly-populated area (rural area). The largest share of households’ total gross income is employment regardless of the degree of urbanisation (68.2% for cities, 68.7% for towns and suburbs and 66 % for rural area); followed by pensions (19.8%, 20.6% and 22.2%), next is the component of benefits (6.8%, 6.5% and 7.6%). The smallest share of the total gross income is across all the areas is the income source ‘other’ which is highest in the cities (5.1%); followed by almost the same shares for towns and suburbs and rural area (4.0% and 4.1% respectively), as shown also in the Figure 5. Across the EU Member States and the non-member states the patterns is similar, the data show the widest difference in the shares for the income component from pensions in the rural area (ranging from 14.8% in the rural area of Estonia to 34.1% in rural area of Greece). Regarding the income from employment, the biggest spread is found in the cities (ranging from 59.5 % in the cities of France to 79.7% in the cities of Estonia). In summary, the greatest variation in shares is found for pensions between the rural areas, followed by cities and lastly by towns and suburbs across the Member States and non-member states (see Table 4).

Data sources and availability

EU statistics on income and living conditions (EU-SILC) were launched in 2003 on the basis of a gentlemen’s agreement between Eurostat, six EU Member States (Austria, Belgium, Denmark, Greece, Ireland, Luxembourg) and Norway. EU-SILC was implemented in order to provide underlying data for indicators relating to income and living conditions — the legislative basis for the data collection exercise is Regulation 1177/2003 of the European Parliament and of the Council. The collection of these statistics was formally launched in 2004 in 15 Member States and expanded in 2005 to cover all of the remaining EU-25 Member States, together with Iceland and Norway. Bulgaria and Turkey launched EU-SILC in 2006, Romania in 2007, Switzerland in 2008, while Croatia introduced the survey in 2010 (2009 data for Croatia are based on a different data source — namely the household budget survey (HBS)). Data for the former Yugoslav Republic of Macedonia are available since 2010 and for Serbia from 2013. EU-SILC comprises both a cross-sectional dimension and a longitudinal dimension. Total Household Gross Income is established by summing up all monetary incomes received from any source by each member of the household (including income from work, investment and social benefits) — plus income received at the household level. Total Household Gross Income is divided into four sources: income from employment, from pensions, from benefits and allowances as well as income from other sources. Each component is defined as follows: The following is added up to Income from employment: Employee cash or near cash income and Company car (as from 2007 operation), Cash benefits or losses from self-employment. In the source Income from pensions the following is included: Pension from individual private pension plans, Old-age benefits, Survivor` benefits. Income from benefits and allowances include the following: Family/children related allowances, Social exclusion not elsewhere classified, Housing allowances, Unemployment benefits, Sickness benefits and Disability benefits, Education-related allowances. Income from other sources is defined as followed: Income from rental of a property or land, Regular inter-household cash transfer received, Interest, dividends, profit from capital investments in unincorporated business and Income received by people aged under 16. For each income component the weighted arithmetic average is computed. Zero values greatly influence those averages and therefore there had been excluded from the data. The cross-sectional weight DB090 is being used for this purpose. The average of the total household gross income is also computed in the same way. On the basis of the computed arithmetic averages of each component the relative shares are computed by dividing the averages of each component by the average of the total income. The income reference period is a fixed 12-month period (such as the previous calendar or tax year) for all countries except the United Kingdom for which the income reference period is the current year of the survey and Ireland for which the survey is continuous and income is collected for the 12 months prior to the survey.


Context

t the Laeken European Council in December 2001, European heads of state and government endorsed a first set of common statistical indicators for social exclusion and poverty that are subject to a continuing process of refinement by the indicators sub-group (ISG) of the social protection committee (SPC). These indicators are an essential element in the open method of coordination (OMC) to monitor the progress made by the EU’s Member States in alleviating poverty and social exclusion. EU-SILC is the reference source for EU statistics on income and living conditions and, in particular, for indicators concerning social inclusion. In the context of the Europe 2020 strategy, the European Council adopted in June 2010 a headline target for social inclusion — namely, that by 2020 there should be at least 20 million fewer people in the EU at risk of poverty or social exclusion than there were in 2008. EU-SILC is the source used to monitor progress towards this headline target, which is measured through an indicator that combines the at-risk-of-poverty rate, the severe material deprivation rate, and the proportion of people living in households with very low work intensity — see the article onsocial inclusion statistics for more information

See also

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