Income share held by second 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

Find indicator:
Rank Country Value Year
1 Slovak Republic 14.70 2014
2 Czech Republic 14.60 2014
3 Slovenia 14.50 2014
4 Iceland 14.30 2014
4 Ukraine 14.30 2015
6 Norway 14.20 2014
7 Sweden 14.10 2014
7 Finland 14.10 2014
9 Belarus 14.00 2015
10 Belgium 13.90 2014
11 Denmark 13.80 2014
12 Moldova 13.70 2015
12 Netherlands 13.70 2014
12 Romania 13.70 2013
15 Serbia 13.40 2013
16 Hungary 13.20 2014
16 Albania 13.20 2012
16 Austria 13.20 2014
19 Germany 12.90 2013
19 Luxembourg 12.90 2014
21 Ireland 12.80 2014
21 Croatia 12.80 2014
23 France 12.70 2014
24 Poland 12.50 2014
25 Switzerland 12.40 2013
26 Estonia 12.30 2014
26 Montenegro 12.30 2014
26 Italy 12.30 2014
26 Latvia 12.30 2014
30 Portugal 12.20 2014
31 Bosnia and Herzegovina 12.10 2011
32 United Kingdom 12.00 2014
33 Greece 11.90 2014
33 Macedonia 11.90 2015
35 Spain 11.80 2014
35 Cyprus 11.80 2014
35 Bulgaria 11.80 2014
38 Lithuania 11.60 2014
39 Turkey 10.20 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