Income share held by highest 20% - Country Ranking - Europe

Definition: Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.

Source: World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor

See also: Thematic map, Time series comparison

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Rank Country Value Year
1 Turkey 47.70 2014
2 Lithuania 44.10 2014
3 Bulgaria 43.90 2014
4 Cyprus 43.60 2014
5 Portugal 42.60 2014
6 Latvia 42.20 2014
7 Estonia 42.10 2014
8 Spain 41.90 2014
9 Greece 41.80 2014
10 Bosnia and Herzegovina 41.30 2011
10 United Kingdom 41.30 2014
12 Italy 41.00 2014
12 Macedonia 41.00 2015
14 Montenegro 40.50 2014
14 Switzerland 40.50 2013
14 France 40.50 2014
17 Poland 40.20 2014
18 Ireland 40.10 2014
19 Germany 39.80 2013
20 Croatia 39.20 2014
21 Luxembourg 39.10 2014
22 Hungary 38.70 2014
22 Austria 38.70 2014
24 Denmark 37.90 2014
25 Albania 37.80 2012
25 Serbia 37.80 2013
27 Netherlands 37.70 2014
28 Moldova 36.90 2015
29 Belgium 36.80 2014
30 Belarus 36.40 2015
30 Finland 36.40 2014
30 Romania 36.40 2013
33 Sweden 36.30 2014
34 Czech Republic 36.00 2014
35 Norway 35.90 2014
36 Ukraine 35.60 2015
37 Slovenia 35.40 2014
38 Iceland 35.30 2014
39 Slovak Republic 34.50 2014

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Development Relevance: The World Bank Group’s goal of promoting shared prosperity has been defined as fostering income growth of the bottom 40 per cent of the welfare distribution in every country. Income distribution data and the Gini coefficient measure inequality in income or consumption and important indicators for measuring shared prosperity.

Limitations and Exceptions: Despite progress in the last decade, the challenges of measuring poverty remain. The timeliness, frequency, quality, and comparability of household surveys need to increase substantially, particularly in the poorest countries. The availability and quality of poverty monitoring data remains low in small states, countries with fragile situations, and low-income countries and even some middle-income countries. The low frequency and lack of comparability of the data available in some countries create uncertainty over the magnitude of poverty reduction. Besides the frequency and timeliness of survey data, other data quality issues arise in measuring household living standards. The surveys ask detailed questions on sources of income and how it was spent, which must be carefully recorded by trained personnel. Income is generally more difficult to measure accurately, and consumption comes closer to the notion of living standards. And income can vary over time even if living standards do not. But consumption data are not always available: the latest estimates reported here use consumption data for about two-thirds of countries. However, even similar surveys may not be strictly comparable because of differences in timing or in the quality and training of enumerators. Comparisons of countries at different levels of development also pose a potential problem because of differences in the relative importance of the consumption of nonmarket goods. The local market value of all consumption in kind (including own production, particularly important in underdeveloped rural economies) should be included in total consumption expenditure but may not be. Most survey data now include valuations for consumption or income from own production, but valuation methods vary.

Statistical Concept and Methodology: Inequality in the distribution of income is reflected in the share of income or consumption accruing to a portion of the population ranked by income or consumption levels. The portions ranked lowest by personal income receive the smallest shares of total income. Data on the distribution of income or consumption come from nationally representative household surveys. Where the original data from the household survey were available, they have been used to directly calculate the income or consumption shares by quintile. Otherwise, shares have been estimated from the best available grouped data. The distribution data have been adjusted for household size, providing a more consistent measure of per capita income or consumption. No adjustment has been made for spatial differences in cost of living within countries, because the data needed for such calculations are generally unavailable. For further details on the estimation method for low- and middle-income economies, see Ravallion and Chen (1996). Survey year is the year in which the underlying household survey data were collected or, when the data collection period bridged two calendar years, the year in which most of the data were collected. Percentage shares by quintile may not sum to 100 because of rounding.

Unit of Measure: %

Periodicity: Annual

General Comments: The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (indu