What is the Gini Coefficient?
It is a value between 0 and 1. A higher number indicates a greater degree of income inequality. A value of 1 indicates the highest degree of income inequality, where a single individual earns the country’s entire income. A value of 0 indicates that all individuals have the same income. Thus, a value of 0 indicates perfect income equality. One of the Gini index’s limitations is that it requires that no one has negative net wealth.
Formula
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If A=0, the Lorenz curveLorenz CurveLorenz Curve, named after American Economist Max O. Lorenz, is a graphical representation of an economic inequality model, taking the population percentile on the X-axis and cumulative wealth on the Y-axis. Complementing this graph would be a diagonal line at 45⁰ angle from the origin, indicating the population’s perfect income or wealth distribution.read more is the line of equality. When A=0, the Gini index is 0. The Gini coefficient is large in case A is very large and B is small. It indicates there is huge income/wealth inequality.
Steps to Calculate the Gini Coefficient
Examples
Example #1
The Gini coefficient of 2 countries based on citizens’ income is as under.
- Organize the data into a table with the category head mentioned below. It is important to note that all the rows must organize from the poorest to the richest. For instance, if it states that the bottom 10% of the population earns 3% income, write 0.03 in the ‘Fraction of Income’ column. Next, write 0.10 in the ‘Fraction of Population’ column. Similarly, fill these two columns with other percentages given. Fill ‘% of Population that is richer’ column by adding all terms in ‘Fraction of Population’ below that row. For instance, we fill the first row in the ‘% of Population that is richer’ column. Then, we will add 0.50 and 0.40, the rows in ‘Fraction of population’ below it. Hence, we get 0.90. Calculate the Score for each of the rows. The formula for Score is: Score = Fraction of Income * (Fraction of Population + 2 * % of Population that is richer).For instance, score for the 1st row is 0.03*(0.10+2*0.90) = 0.057 Next, add all the terms in the ‘Score’ column. Let us call it ‘Sum.’ Calculate the Gini coefficient using the formula: = 1 – Sum
It is important to note that all the rows must organize from the poorest to the richest. For instance, if it states that the bottom 10% of the population earns 3% income, write 0.03 in the ‘Fraction of Income’ column. Next, write 0.10 in the ‘Fraction of Population’ column. Similarly, fill these two columns with other percentages given.
For instance, we fill the first row in the ‘% of Population that is richer’ column. Then, we will add 0.50 and 0.40, the rows in ‘Fraction of population’ below it. Hence, we get 0.90.
Score = Fraction of Income * (Fraction of Population + 2 * % of Population that is richer).For instance, score for the 1st row is 0.03*(0.10+2*0.90) = 0.057
- Interpret the trend of income inequality in the two countriesWhich country has higher income inequality in 2015?
Solution:
a) The Gini coefficient of Country A has shown a rising trend from 0.40 in 2010 to 0.57 in 2015. Hence, income inequality in Country A has risen in these years. On the other hand, the coefficient of Country B has fallen from 0.38 in 2010 to 0.29 in 2015. Therefore, income inequality in Country B has declined over these years.
b) The coefficient of Country A (0.57) is more than that of Country B (0.29). Hence, Country A had higher income inequality in 2015.
Example #2
In a particular country, the lowest 10% of the earners make 2% of all wages. The next 40% of earners make 13% of wages. The following 40% of earners make up 45% of all wages. Moreover, the highest 10% of all earners make 40% of all wages. Calculate the Gini coefficient of the country.
Use the following data for the calculation.
Let us compile the above information in table format. But, first, the information has to be compiled by organizing the rows from the poorest to the richest.
Sum of Scores = 0.038+0.182+0.27+0.04 =0.53
The coefficient will be –
Coefficient = 1 – 0.53 = 0.47
Example #3
The administration of a village is concerned about income inequality in the village. It wants to introduce some developmental schemes to reduce income inequality. For this purpose, it requires data relating to income inequality. The administration ordered a research study about income levels in his village. Here are some findings from the research study: 6 people earn ₹10 each, 3 people earn ₹20 each, and 1 person earns ₹80. Calculate the Gini coefficient relating to the income inequality in the village.
We will have to tabulate the given information. For this purpose, we will have to find a fraction of the population earning what proportion of income.
Sum of Scores = 0.42 + 0.15 + 0.04 = 0.61
Coefficient = 1 – 0.61 =0.39
Coefficient is 0.39
Example of Gini Coefficient Formula (with Excel Template)
In a country, there are huge skyscrapers along with humongous slums. The Chief Economist of the country believes that there is huge income inequality. He finds the following data: The lowest 20% of the earners make 2% of all income. The next 40% make 10% of all income. The following 30% make up 20% of all income. Finally, the richest 10% makeup 68% of all income. Calculate the Gini coefficient to give the chief Economist a statistical measure of income inequality.
Step 1: Write the ‘Fraction of Income’ and ‘Fraction of Population’ data in tabular format in Excel.
Step 2: Fill the % of Population that is richer’ column by adding all terms in ‘Fraction of Population’ below that row. For instance, in the first row under ‘% of Population that is richer,’ write the formula = B3+B4+B5. Then, drag the formula to subsequent rows.
Step 3: In the score column, write =A2*(B2+2*C2). Then, drag the formula to subsequent rows.
Step 4: Calculate the sum of the scores. In cell D6, write =SUM(D2: D5)
Step 5: Write =1-D6 in cell B9. Thus, 0.676 is the Gini coefficient.
Relevance and Uses
The Gini coefficient is for analyzing wealth or income distribution. Therefore, one can use it to compare income inequality across different population sectors. For instance, one can compare the Gini index of urban areas in a country with rural areas. Similarly, one can compare one country’s Gini index to another’s. One can also use it to find income inequalityIncome InequalityIncome inequality refers to the crucial imbalance of income dispersal across the population.read more over some time. For instance, the Gini coefficient in India in the year 2000 can compare with the coefficient of 2019.
One can use this coefficient along with GDP numbers. If the Gini index is increasing along with GDP, then there may not be an improvement on the poverty front for most of the population. Based on this coefficient, welfare measures can be designed for the population to reduce income inequality.
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