Gini Coefficient

Country	UN R/P 10%[3]	UN R/P 20%[4]	World Bank Gini (%)[5]	WB Gini (year)	CIA R/P 10%[6]	Year	CIA Gini (%)[7]	CIA Gini (year)

Indonesia	7.8	5.2	34.0	2005	7.9	2002	36.8	2009
Thailand	12.6	7.7	40.0	2009	12.4	2002	53.6	2009

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

Gini coefficient

From Wikipedia, the free encyclopedia

Gini coefficient of national income distribution around the world. This is based on 1989 to 2009 data, estimated by the CIA. Some are pre-tax, others post-tax income.

The Gini coefficient (also known as the Gini index or Gini ratio) is a measure of statistical dispersion developed by the Italian statistician and sociologist Corrado Gini and published in his 1912 paper "Variability and Mutability" (Italian: Variabilità e mutabilità).^[1][2]

The Gini coefficient measures the inequality among values of a frequency distribution (for example levels of income). A Gini coefficient of zero expresses perfect equality, where all values are the same (for example, where everyone has an exactly equal income). A Gini coefficient of one (100 on the percentile scale) expresses maximal inequality among values (for example where only one person has all the income).^[3][4] However, a value greater than one may occur if some persons have negative income or wealth.

It has found application in the study of inequalities in disciplines as diverse as sociology, economics, health science, ecology, chemistry, engineering and agriculture.^[5]

Gini coefficient is commonly used as a measure of inequality of income or wealth.^[6] For OECD countries, in the late 2000s, considering the effect of taxes and transfer payments, the income Gini coefficient ranged between 0.24 to 0.49, with Slovenia the lowest and Chile the highest.^[7] The countries in Africa had the highest pre-tax Gini coefficients in 2008-2009, with South Africa the world's highest at 0.7.^[8][9] The global income inequality Gini coefficient in 2005, for all human beings taken together, has been estimated to be between 0.61 and 0.68 by various sources.^[10][11]

There are some issues in interpreting a Gini coefficient. The same value may result from many different distribution curves. The demographic structure should be taken into account. Countries with an aging population, or with a baby boom, experience an increasing pre-tax Gini coefficient even if real income distribution for working adults remain constant. Scholars have devised over a dozen variants of the Gini coefficient.^[12][13][14]

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

GINI INDEX IN INDONESIA

The GINI index in Indonesia was 36.76 in 2009, according to a World Bank report, published in 2010. Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.This page includes a historical data chart, news and forecasts for GINI index in Indonesia.

http://www.tradingeconomics.com/indonesia/gini-index-wb-data.html