Statistics Explained

Archive:Income poverty statistics

Revision as of 16:36, 23 March 2010 by Mititli (talk | contribs)
Data from September 2009, most recent data: Further Eurostat information, Main tables and Database.
Graph 1: Inequality of income distribution, 2007 (1) (S80-S20 income quintile share ratio)

Favourable living conditions depend on a wide range of factors, which may be divided into those that are income-related and those that are not. The latter includes quality healthcare services, education and training opportunities or good transport facilities – aspects that affect everyday lives and livelihoods. The income distribution within a country provides a picture of inequalities. This article analyzes recent statistics on living conditions in the European Union (EU).

Main statistical findings

Graph 2: Relative median income ratio, 2007 (1)(ratio)
Graph 3: Relative median at-risk-of-poverty gap, 2007(%)
Table 1: At-risk-of-poverty rate after social transfers (1) 2005-2007 (%)
Table 2: At-risk-of-poverty rate by most frequent activity status, 2007 (1) (%)
Graph 4: At-risk-of-poverty rate, 2007 (%)
Graph 5: At-risk-of-poverty rate after social transfers, by household type, EU-27, 2007 (1) (%)
Graph 6: At-risk-of-poverty rate after social transfers, persons aged 65 years and over, 2007 (1) (%)
Graph 7: Material deprivation rate – economic strain and durables dimension, 2007 (1) (%)
Graph 8: People living in jobless households, by age, 2007 (1)(% of respective age group living in households where no-one works)
Graph 9: People living in jobless households, by gender, 2007 (1)(% of respective gender aged 18-59 who are living in households where no-one works)

Societies cannot combat poverty and social exclusion without analysing inequalities within society, whether they are economic in nature or social. Data on economic inequality becomes particularly important for estimating relative poverty, because the distribution of economic resources may have a direct bearing on the extent and depth of poverty.

There were wide inequalities in the distribution of income among the population of the EU-27 in 2007; the 20 % of the population with the highest equivalized disposable income received five times as much income as the 20 % of the population with the lowest equivalised disposable income. This ratio varied considerably across the Member States, from 3.3 in Slovenia and 3.4 in Sweden, through 6.0 or more in Greece, Latvia and Portugal, to highs of 6.9 in Bulgaria and 7.8 in Romania. Relatively wide income inequalities were not confined to those countries with relatively low GDP per capita, as the distribution of income (using this measure) was noticeably more equitable in Slovakia and the Czech Republic, by way of example, than it was in the United Kingdom and Italy.

Social protection measures can be used as a means for reducing poverty and social exclusion. This may be achieved, for example, through the distribution of (means-tested) benefits. One way of evaluating the success of social protection measures is to compare at-risk-of-poverty indicators before and after social transfers.

In 2007, social transfers reduced the at-risk-of-poverty rate among the population of the EU-27 from 26 % before transfers to 17 % after transfers, thereby lifting 35 % of those in poverty above the poverty line. The impact of social benefits was lowest in Bulgaria and a number of the Mediterranean Member States (Greece, Spain, Italy and Cyprus) in 2007. In contrast, one half or more of those persons who were at-risk-of poverty in Sweden, Hungary, Denmark, Finland, the Netherlands, Austria, the Czech Republic and France were removed as a result of social transfers.

Ageing population

There is policy interest in the inequalities felt by many different groups in society: one group of particular interest is that of the elderly, in part reflecting the growing proportion of the EU’s population aged over 65 years. Pension systems can play an important role in addressing poverty amongst the elderly. In this respect, it is interesting to compare the incomes of the elderly with the rest of the population.

Poland was the only Member State where the median equivalised disposable income of the elderly was similar or slightly higher than it was for persons under 65; in France, Austria, Luxembourg, and Hungary, the median income of the elderly was more than 90 % of that recorded for people under 65. In contrast, the elderly in Cyprus had a median income that was around 57 % of that recorded for people under 65, with shares between 65 % and 70 % in Ireland, Lithuania, Estonia, Latvia and Denmark. These relatively low proportions may broadly reflect pension entitlements, as well as fast economic growth through to 2007, which mainly benefited people of an active age.

The depth of poverty, which helps to quantify just how poor the poor are, can be measured by the relative median at-risk-of poverty gap. The median income of persons at risk-of-poverty in the EU-27 was an average 23 % below the 60 % poverty threshold in 2007. Among the Member States, the national at-risk-of-poverty gap was widest in Romania and Bulgaria in 2007, but also relatively wide in Greece, Lithuania and Latvia; this gap was narrowest in Finland.

Other at-risk groups

Different groups in society are more or less vulnerable to poverty. Although there was little difference in the at-risk-of-poverty rate (after social transfers) between men and women in the EU-27 (16 % compared with 18 % respectively), there were notable differences when the population was classified according to activity status. The unemployed are a particularly vulnerable group: a little over two fifths (43 %) of the unemployed was at-risk-of-poverty in the EU-27 in 2007, with higher rates in the Baltic Member States. About one in six (17 %) retired persons in the EU-27 was at-risk-of-poverty in 2007; rates were much higher in the Baltic Member States, the United Kingdom and, in particular, Cyprus. Those in employment were far less likely to be at-risk-of-poverty (8 % in the EU-27), although there were relatively high rates in Greece (14 %) and Romania (18 %).

Across the Member States, households comprising three or more adults were typically the least likely to be at-risk-of-poverty, reflecting wider opportunities to pool resources. In a majority of Member States, households comprising two parents and two children were also less at-risk-of-poverty than the average for the whole population. In contrast, there were typically three types of household that were at much greater risk of poverty than others; these were single person households, single parent households with dependent children and households comprising two adults with three or more dependent children (so-called large family households).

Income-related measures of poverty need to be analysed together with other measures –such as material deprivation – in order to have a deeper understanding of poverty. About one in every six (18 %) of the EU-27 population was materially deprived in 2007, although this reflected considerable differences between EU-15 Member States on the one hand and, on the other, those Member States that have joined the EU since 2004.

Less than one in ten people in Luxembourg, the Nordic Member States and the Netherlands were materially deprived in 2007, whereas the proportion rose to a little over one third of those in Hungary and Poland, moved closer to half of the population in Latvia and Romania, and reached almost three quarters of the population in Bulgaria.

Living in a household where no adult works is likely to have a significant effect on a child’s current and future living conditions and their risk of poverty. Slightly less than one in every ten children (9.4 %) in the EU-27 lived in a jobless household in 2007, a similar proportion to that recorded for adults of working age (18 to 59 years, 9.3 %) who lived in jobless households. Among the Member States, the proportion of children in jobless households was highest in the United Kingdom (16.7 %) and Hungary (13.9 %), where it was also considerably more than the corresponding proportion of working-age adults in jobless households. In contrast, less than 4 % of children in Greece, Cyprus, Luxembourg and Slovenia were in jobless households; these figures were, by and large, much lower than the corresponding rates for adults of a working age.

Data sources and availability

Eurostat's statistical indicators within the income and living conditions domain cover a range of topics relating to income poverty and social exclusion. One group of indicators relate to monetary poverty analyzed in various ways (for example, by age, gender and activity status), across space and over time. Another set relate to non-monetary poverty and social exclusion (for example, material deprivation, social participation) across space and over time. A newly developed set of child-care arrangement indicators complements the information in this domain.

EU-SILC is now Eurostat’s main reference source for comparative income distribution and social exclusion statistics. It comprises both a cross-sectional dimension and a longitudinal dimension. From 2005, EU-SILC covered the 25 Member States, as well as Norway and Iceland; Bulgaria, Romania, Turkey and Switzerland launched EU-SILC in 2007.

The relative median income ratio is defined as the ratio of the median equivalized disposable income of people aged above 65 to the median equivalized disposable income of those aged below 65.

The at-risk-of-poverty rate is defined as the share of people with an equivalized disposable income that is below the at-risk-of-poverty threshold, set at 60 % of the national median equivalized disposable income. This rate may be expressed before or after social transfers, with the difference measuring the hypothetical impact of national social transfers in reducing poverty risk. Retirement and survivors' pensions are counted as income before transfers and not as social transfers. Various breakdowns of this indicator are calculated: by age, gender, activity status, household type, education level, etc. It should be noted that this indicator does not measure wealth but low current income (in comparison with other people in the same country) which does not necessarily imply a low standard of living.

The relative median at-risk-of-poverty gap is calculated as the difference between the median equivalised disposable income of people below the at-risk-of-poverty threshold and the at-risk-of-poverty threshold, expressed as a percentage of the at-risk-of-poverty threshold (cut-off point: 60 % of median equivalised income). The EU aggregate is a population weighted average of individual national figures. In line with decisions of the European Council, the at-risk-of-poverty rate is measured relative to the situation in each country rather than applying a common threshold to all countries.

Material deprivation, covers an economic strain and a durables strain, defined as the enforced inability (rather than the choice of not being able/having) to pay for at least three of the following nine items: unexpected expenses; one week annual holiday away from home; arrears (mortgage or rent payments, utility bills, or hire purchase instalments or other loan payments); a meal with meat or fish every other day; heating to keep the home adequately warm; a washing machine; a colour television; a telephone; or a car.

The indicators related to jobless households (the share of children aged 0-17 and the share of adults aged 18-59 who are living in households where no one works) are calculated as the proportion of people of the specified age who live in households where no one is working. Students aged 18 to 24 who live in households composed solely of students of the same age class are counted neither in the numerator nor the denominator of the ratio; the data comes from the EU Labour force survey (LFS).

Context

Analysis of the distribution of incomes within a country provides a picture of inequalities. On the one hand, inequalities may create incentives for people to improve their situation through work, innovation or acquiring new skills, while on the other hand, crime, poverty and social exclusion are often linked to inequalities in income distribution.

Further Eurostat information

Publications

Main tables

Income and living conditions (t_ilc)
Income distribution and monetary poverty (t_ilc_ip)
At-risk-of-poverty rate after social transfers by gender (tsisc030)
At-risk-of-poverty rate, by age group (tsdsc230)
At-risk-of-poverty rate, by household type (tsdsc240)
At-risk-of-poverty rate of elderly people (tsdde320)
In work at-risk-of-poverty rate (tsdsc320)
At-risk-of-poverty-rate, by highest level of education attained (tsdsc420)
At-risk-of-poverty rate before social transfers by gender (tsisc020)
Relative median at-risk-of-poverty gap (tsdsc250)
Inequality of income distribution (tsisc010)

Database

Income and living conditions (ilc)
Income distribution and monetary poverty (ilc_ip)
Monetary poverty (ilc_li)
At risk of poverty thresholds (ilc_li01)
At risk of poverty rates by age and gender (ilc_li02)
At risk of poverty rates by household type (ilc_li03)
At risk of poverty rates by most frequent activity in the previous year (persons over 16 years) (ilc_li04)
At risk of poverty rates by main source of income (ilc_li05)
At risk of poverty rates by work intensity of the household (ilc_li06)
At risk of poverty rates by education level (ilc_li07)
At risk of poverty rates by tenure status (ilc_li08)
At risk of poverty rates before social transfers (pensions included in social transfers) (ilc_li09)
At risk of poverty rates before social transfers (pensions excluded from social transfers) (ilc_li10)
Relative at risk of poverty gaps (ilc_li11)
At risk of poverty rates anchored at a point in time by gender and age (ilc_li20)
At persistent risk of poverty rates by gender and age (ilc_li21)
At-risk-of-poverty rate anchored at a fixed moment in time (2005) by age and gender (ilc_li22)
Distribution of income (ilc_di)
Distribution of income by quantiles (ilc_di01)
Distribution of income by different income groups (ilc_di02)
Mean and median income by age and gender (ilc_di03)
Mean and median income by household type (ilc_di04)
Mean and median income by most frequent activity status (ilc_di05)
Mean and median income by main source of income (ilc_di06)
Mean and median income by work intensity of the household (ilc_di07)
Mean and median income by education level (ilc_di08)
Mean and median income by accommodation tenure status (ilc_di09)
Mean and median income by ability to make ends meet (ilc_di10)
S80/S20 income quintile share ratio by gender and selected age group (ilc_di11)
Gini coefficient (ilc_di12)
In-work poverty (ilc_iw)
In-work at risk of poverty rates by age and gender (ilc_iw01)
In-work at risk of poverty rates by household type (ilc_iw02)
In-work at risk of poverty rates by work intensity of the household (ilc_iw03)
In-work at risk of poverty rates by education level (ilc_iw04)
In-work at risk of poverty rates by type of contract (ilc_iw05)
In-work at risk of poverty rates by months worked (ilc_iw06)
In-work at risk of poverty rates by full-/part-time work (ilc_iw07)

Dedicated section

Other information

External links

See also