As you know, the Gini coefficient is a measure of income distribution (or wealth distribution), which ranges from 0 (or 0%) to 1 (i.e. 100%). 0 is perfect equality (every person has the same income) and 1 represents perfect inequality. If you want to compare your value with the inequality level in Europe, please have a look on Eurostat website: http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_di12

Your Gini index is close to the level of inequality that prevails in Denmark, Germany, Hungary, Malta etc. As you see the Gini coefficient can be quite close for countries with very different level of mean/median income. It is influenced by the distribution of income between people.

Thank you Anne

Gini index < 0.2 represents perfect income equality, 0.2–0.3 relative equality, 0.3–0.4 adequate equality, 0.4–0.5 big income gap, and above 0.5 represents severe income gap. Therefore, the warning level of Gini index is 0.4.

The Gini Index is the indicator par excellence, used to measure the level of distribution of monetary income and derived from social inequality. However, when the statistical result is known, understanding is scarce, perhaps due to the poor understanding of the scale used from "0" to "1", which indicates that the closer to the "0" one is, the social inequality it is smaller, because the concentration of monetary income is almost nil; while the closer it is to the "1", the social inequality and the concentration of income are greater.

Knowing the information related to the distribution of income and ensuring that an economy has low social inequality should be the main objective of public policy, at the time of becoming a precondition; not only to accept the figures of economic growth on the part of the population, but because it offers quality to the economic expansion, making the growth sustainable over time.

The Gini coefficient is a measure of inequality of a distribution. It is defined as a ratio with values between 0 and 1: the numerator is the area between the Lorenz curve of the distribution and the uniform distribution line; the denominator is the area under the uniform distribution line. It was developed by the Italian statistician Corrado Gini and published in his 1912 paper "Variabilità e mutabilità" ("Variability and Mutability"). The Gini index is the Gini coefficient expressed as a percentage, and is equal to the Gini coefficient multiplied by 100. (The Gini coefficient is equal to half of the relative mean difference.) The Gini coefficient is often used to measure income inequality. Here, 0 corresponds to perfect income equality (i.e. everyone has the same income) and 1 corresponds to perfect income inequality (i.e. one person has all the income, while everyone else has zero income). The Gini coefficient can also be used to measure wealth inequality. This use requires that no one has a negative net wealth. It is also commonly used for the measurement of discriminatory power of rating systems in the credit risk management.

NOTE: Poor countries (those with low per-capita GDP) have Gini coefficients that fall over the whole range from low (0.25) to high (0.71), while rich countries have generally low Gini coefficient (under 0.40).

The Gini coefficient's main advantage is that it is a measure of inequality by means of a ratio analysis, rather than a variable unrepresentative of most of the population, such as per capita income or gross domestic product. • It can be used to compare income distributions across different population sectors as well as countries, for example the Gini coefficient for urban areas differs from that of rural areas in many countries (though the United States' urban and rural Gini coefficients are nearly identical). • It is sufficiently simple that it can be compared across countries and be easily interpreted. GDP statistics are often criticised as they do not represent changes for the whole population; the Gini coefficient demonstrates how income has changed for poor and rich. If the Gini coefficient is rising as well as GDP, poverty may not be improving for the majority of the population. • The Gini coefficient can be used to indicate how the distribution of income has changed within a country over a period of time, thus it is possible to see if inequality is increasing or decreasing.

http://en.wikipedia.org/wiki/Gini_coefficient

THIS IS AN EXELENT SOURCE FOR YOU.

Gini coefficient is also used to analyse species abundance in a community. If there is a highly dominant species and data is highly unevenly distributed, then it concluded that Gini coefficient value would be high. In ecology context your value shows much even abundance of spevies

From Atkinson Bourguignon - Handbook of Income Distribution - Volume 2 - Page XXIII: The Gini coefficient can also be described in terms of the mean difference. A Gini coefficient of G percent means that, if we take any two households from the population at random, the expected difference is 2G percent times the mean. So that a rise in the Gini coefficient from 30\% to 40\% implies that the expected difference has gone up from 60\% to 80\% of the mean. Another useful way of thinking, suggested by Sen (1976), is in terms of ``distributionally adjusted'' national income, which with the Gini coefficient is (100G) percent of national income. So that a rise in the Gini coefficient from 30\% to 40\% is equivalent to reducing national income by 14\% (i.e., $(100-40)/(100-30)=6/7$ of its previous value).