{"id":144,"date":"2020-01-08T20:35:44","date_gmt":"2020-01-08T20:35:44","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/suny-oldwestbury-publicfinanceandpublicpolicy\/chapter\/measuring-income-inequality\/"},"modified":"2020-01-08T20:35:44","modified_gmt":"2020-01-08T20:35:44","slug":"measuring-income-inequality","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/suny-oldwestbury-publicfinanceandpublicpolicy\/chapter\/measuring-income-inequality\/","title":{"raw":"Measuring Income Inequality","rendered":"Measuring Income Inequality"},"content":{"raw":"\n<h2>What you\u2019ll learn to do: analyze and measure economic inequality<\/h2>\nIn September 2011, a group of protesters gathered in Zuccotti Park in New York City to decry what they perceived as increasing social and economic inequality in the United States. Calling their protest \u201cOccupy Wall Street,\u201d they argued that the concentration of wealth among the richest 1% in the United States was both economically unsustainable and inequitable, and needed to be changed. The protest then spread to other major cities, and the Occupy movement was born.\n\nWhy were people so upset? How much wealth is concentrated among the top 1% in our society? How did they acquire so much wealth? These are very real, very important questions in the United States now, and this section on economic inequality will help us address the causes behind this sentiment.\n<div class=\"textbox learning-objectives\">\n<h3>Learning Objectives<\/h3>\n<ul>\n \t<li>Explain the distribution of income<\/li>\n \t<li>Use the Lorenz Curve to analyze the distribution of income and wealth<\/li>\n<\/ul>\n<\/div>\nIn a market economy, your income depends on the resources you own (e.g. labor, land, etc.), and the value the market places on those resources. People who own a lot of resources and people who own resources that are highly valued will tend to earn higher incomes than people who do not. As a consequence, market economies tend to result in inequality of income and wealth. Whether this is good or bad depends at least in part on the degree of inequality. Few Americans believe that Bill Gates doesn't deserve to be rich, because of the significant value his company, Microsoft, has brought to people. But should he have 100 times the wealth of the average American or 1 million times? That is the question.\n\nPoverty levels can be subjective based on the overall income levels of a country. Typically a government measures poverty based on a percentage of the median income. Income inequality, however, has to do with the distribution of that income, in terms of which group receives the most or the least income. Income inequality involves comparing those with high incomes, middle incomes, and low incomes\u2014not just looking at those below or near the poverty line. In turn, measuring income inequality means dividing the population into various groups and then comparing the groups, a task that we can be carry out in several ways.\n<div class=\"textbox key-takeaways\">\n<h3>HOW DO YOU SEPARATE POVERTY AND INCOME INEQUALITY?<\/h3>\nPoverty levels can be subjective based on the overall income levels of a country; typically poverty is measured based on a percentage of the median income. Income inequality, however, has to do with the distribution of that income, in terms of which group receives the most or the least income. Income inequality involves comparing those with high incomes, middle incomes, and low incomes\u2014not just looking at those below or near the poverty line. In turn, measuring income inequality means dividing up the population into various groups and then comparing the groups, a task that can be carried out in several ways.\n\n[caption id=\"attachment_8605\" align=\"alignnone\" width=\"1000\"]<img class=\"wp-image-8605 size-full\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2042\/2018\/02\/29190405\/WeGrewTogetherVsApart-1.jpg\" alt=\"Growth of Family Income: From 1947-1979 vs. 1979-2014. Earlier, all 5 quintiles and the 1% grew, most around 100%, while in the past 30 years, average family income growth decline for the bottom 20%, rose only 3% for the second 20%, rose 12% for the middle fifth, rose 26% for the fourth 20%, then was up 54% for the top 20%. The top 1% grew by 162%.\" width=\"1000\" height=\"750\"> <strong>Figure 1.<\/strong> Growth of Family Income. Source: Andrea Witte, http:\/\/www.connectthedotsusa.com\/.[\/caption]\n\n<\/div>\n<p id=\"ch14mod04_p02\">Poverty can change even when inequality does not move at all. Imagine a situation in which income for everyone in the population declines by 10%. Poverty would rise, since a greater share of the population would now fall below the poverty line. However, inequality would be the same, because everyone suffered the same proportional loss. Conversely, a general rise in income levels over time would keep inequality the same, but reduce poverty.<\/p>\n<p id=\"ch14mod04_p03\">It is also possible for income inequality to change without affecting the poverty rate. Imagine a situation in which a large number of people who already have high incomes increase their incomes by even more. Inequality would rise as a result\u2014but the number of people below the poverty line would remain unchanged.<\/p>\nWhy did inequality of household income increase in the United States in recent decades? Indeed, a trend toward greater income inequality has occurred in many countries around the world, although the effect has been more powerful in the U.S. economy. Economists have focused their explanations for the increasing inequality on two factors that changed more or less continually from the 1970s into the 2000s. One set of explanations focuses on the changing shape of American households; the other focuses on greater inequality of wages, what some economists call \"winner take all\" <em>labor markets<\/em>. We will begin with how we measure inequality, and then consider the explanations for growing inequality in the United States.\n<h2><span class=\"cnx-gentext-section cnx-gentext-t\">Measuring Income Distribution by Quintiles<\/span><\/h2>\n<p id=\"ch14mod04_p05\">One common way of measuring income inequality is to rank all households by income, from lowest to highest, and then to divide all households into five groups with equal numbers of people, known as quintiles. This calculation allows for measuring the distribution of income among the five groups compared to the total. The first quintile is the lowest fifth or 20%, the second quintile is the next lowest, and so on. We can measure income inequality by comparing what share of the total income each quintile earns.<\/p>\n<p id=\"ch14mod04_p06\">U.S. income distribution by quintile appears in Table 1. In&nbsp;2016, for example, the bottom quintile of the income distribution received 3.1% of income; the second quintile received 8.3%; the third quintile, 14.2%; the fourth quintile, 22.9%; and the top quintile, 51.5%. The final column of Figure 1 shows what share of income went to households in the top 5% of the income distribution: 22.6% in 2016. Over time, from the late 1960s to the early 1980s, the top fifth of the income distribution typically received between about 43% to 44% of all income. The share of income that the top fifth received then begins to rise. Census Bureau researchers trace, much of this increase in the share of income going to the top fifth to an increase in the share of income going to the top 5%. The quintile measure shows how income inequality has increased in recent decades.<\/p>\n\n<table>\n<tbody>\n<tr>\n<td style=\"width: 755px;\" colspan=\"7\"><strong>Table 1. Share of Aggregate Income Received by Each Fifth and Top 5 Percent of Households,<\/strong> All Races: 1967 to 2016 (Source: U.S. Census Bureau, Table H-2)<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\" rowspan=\"2\"><strong>Year<\/strong><\/td>\n<td style=\"width: 342px;\" colspan=\"6\"><strong>Shares of aggregate income<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 65px;\">Lowest\nfifth<\/td>\n<td style=\"width: 60px;\">Second\nfifth<\/td>\n<td style=\"width: 44px;\">Third\nfifth<\/td>\n<td style=\"width: 53px;\">Fourth\nfifth<\/td>\n<td style=\"width: 60px;\">Highest\nfifth<\/td>\n<td style=\"width: 60px;\">Top 5\npercent<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">1967<\/td>\n<td style=\"width: 65px;\">4.0<\/td>\n<td style=\"width: 60px;\">10.8<\/td>\n<td style=\"width: 44px;\">17.3<\/td>\n<td style=\"width: 53px;\">24.2<\/td>\n<td style=\"width: 60px;\">43.6<\/td>\n<td style=\"width: 60px;\">17.2<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">1970<\/td>\n<td style=\"width: 65px;\">4.1<\/td>\n<td style=\"width: 60px;\">10.8<\/td>\n<td style=\"width: 44px;\">17.4<\/td>\n<td style=\"width: 53px;\">24.5<\/td>\n<td style=\"width: 60px;\">43.3<\/td>\n<td style=\"width: 60px;\">16.6<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">1975<\/td>\n<td style=\"width: 65px;\">4.3<\/td>\n<td style=\"width: 60px;\">10.4<\/td>\n<td style=\"width: 44px;\">17.0<\/td>\n<td style=\"width: 53px;\">24.7<\/td>\n<td style=\"width: 60px;\">43.6<\/td>\n<td style=\"width: 60px;\">16.5<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">1980<\/td>\n<td style=\"width: 65px;\">4.2<\/td>\n<td style=\"width: 60px;\">10.2<\/td>\n<td style=\"width: 44px;\">16.8<\/td>\n<td style=\"width: 53px;\">24.7<\/td>\n<td style=\"width: 60px;\">44.1<\/td>\n<td style=\"width: 60px;\">16.5<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">1985<\/td>\n<td style=\"width: 65px;\">3.9<\/td>\n<td style=\"width: 60px;\">9.8<\/td>\n<td style=\"width: 44px;\">16.2<\/td>\n<td style=\"width: 53px;\">24.4<\/td>\n<td style=\"width: 60px;\">45.6<\/td>\n<td style=\"width: 60px;\">17.6<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">1990<\/td>\n<td style=\"width: 65px;\">3.8<\/td>\n<td style=\"width: 60px;\">9.6<\/td>\n<td style=\"width: 44px;\">15.9<\/td>\n<td style=\"width: 53px;\">24.0<\/td>\n<td style=\"width: 60px;\">46.6<\/td>\n<td style=\"width: 60px;\">18.5<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">1995<\/td>\n<td style=\"width: 65px;\">3.7<\/td>\n<td style=\"width: 60px;\">9.1<\/td>\n<td style=\"width: 44px;\">15.2<\/td>\n<td style=\"width: 53px;\">23.3<\/td>\n<td style=\"width: 60px;\">48.7<\/td>\n<td style=\"width: 60px;\">21.0<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">2000<\/td>\n<td style=\"width: 65px;\">3.6<\/td>\n<td style=\"width: 60px;\">8.9<\/td>\n<td style=\"width: 44px;\">14.8<\/td>\n<td style=\"width: 53px;\">23.0<\/td>\n<td style=\"width: 60px;\">49.8<\/td>\n<td style=\"width: 60px;\">22.1<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">2005<\/td>\n<td style=\"width: 65px;\">3.4<\/td>\n<td style=\"width: 60px;\">8.6<\/td>\n<td style=\"width: 44px;\">14.6<\/td>\n<td style=\"width: 53px;\">23.0<\/td>\n<td style=\"width: 60px;\">50.4<\/td>\n<td style=\"width: 60px;\">22.2<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">2010<\/td>\n<td style=\"width: 65px;\">3.3<\/td>\n<td style=\"width: 60px;\">8.5<\/td>\n<td style=\"width: 44px;\">14.6<\/td>\n<td style=\"width: 53px;\">23.4<\/td>\n<td style=\"width: 60px;\">50.3<\/td>\n<td style=\"width: 60px;\">21.3<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">2015<\/td>\n<td style=\"width: 65px;\">3.1<\/td>\n<td style=\"width: 60px;\">8.2<\/td>\n<td style=\"width: 44px;\">14.3<\/td>\n<td style=\"width: 53px;\">23.2<\/td>\n<td style=\"width: 60px;\">51.1<\/td>\n<td style=\"width: 60px;\">22.1<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">2016<\/td>\n<td style=\"width: 65px;\">3.1<\/td>\n<td style=\"width: 60px;\">8.3<\/td>\n<td style=\"width: 44px;\">14.2<\/td>\n<td style=\"width: 53px;\">22.9<\/td>\n<td style=\"width: 60px;\">51.5<\/td>\n<td style=\"width: 60px;\">22.6<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 755px;\" colspan=\"7\"><a>Source: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplements. &nbsp; For information on confidentiality protection, sampling error, nonsampling error, and definitions, see \/\/www2.census.gov\/programs-surveys\/cps\/techdocs\/cpsmar17.pdf<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p id=\"ch14mod04_p07\">It can also be useful to divide the income distribution in ways other than quintiles; for example, into tenths or even into percentiles (that is, hundredths). A more detailed breakdown can provide additional insights. For example, the last column of Table 1 shows the income received by the top 5% percent of the income distribution. Between 1980 and 2016, the share of income going to the top 5% increased by 6.1 percentage points (from 16.5% in 1980 to 22.6% in 2016). From 1980 to 2016 the share of income going to the top quintile increased by 7.5 percentage points (from 44.1% in 1980 to 51.5% in 2016). Thus, the top 20% of householders (the fifth quintile) received over half (51.5%) of all the income in the United States in 2016.<\/p>\n\n<div class=\"textbox tryit\">\n<h3>Try It<\/h3>\nhttps:\/\/assessments.lumenlearning.com\/assessments\/8072\n\n<\/div>\n<h2><span class=\"cnx-gentext-section cnx-gentext-t\">Lorenz Curve<\/span><\/h2>\nThe data on income inequality can be presented in various ways. For example, you could draw a bar graph that showed the share of income going to each fifth of the income distribution. Figure 2 presents an alternative way of showing inequality data in what is called a <strong>Lorenz curve<\/strong>. The Lorenz curve shows the cumulative share of population on the horizontal axis and the cumulative percentage of total income received on the vertical axis.\n\n[caption id=\"attachment_8139\" align=\"aligncenter\" width=\"529\"]<img class=\"wp-image-8139 size-full\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2042\/2018\/02\/07225934\/Screen-Shot-2018-05-07-at-5.59.12-PM.png\" alt=\"The graph shows an upward sloping dashed plum line labeled Perfect equality extending from the origin to the point (100, 100%). Beneath the dashed line are two upward sloping curves. The one closest to the dashed line is labeled 1980, and the line further from the dashed line is labeled 2016.\" width=\"529\" height=\"492\"> <strong>Figure 2.<\/strong> <strong>The Lorenz Curve.<\/strong> A Lorenz curve graphs the cumulative shares of income received by everyone up to a certain quintile. The income distribution in 1980 was closer to the perfect equality line than the income distribution in 2016\u2014that is, the U.S. income distribution became more unequal over time.[\/caption]\n<p id=\"ch14mod04_p09\">Every Lorenz curve diagram begins with a line sloping up at a 45-degree angle. We show it as a dashed line in Figure 2. The points along this line show what perfect equality of the income distribution looks like. It would mean, for example, that the bottom 20% of the income distribution receives 20% of the total income, the bottom 40% gets 40% of total income, and so on. The other lines reflect actual U.S. data on inequality for 1980 and 2016.<\/p>\n<p id=\"ch14mod04_p10\">The trick in graphing a Lorenz curve is that you must change the shares of income for each specific quintile, which we show in the first column of numbers in Table 2, into cumulative income, which we show in the second column of numbers. For example, the bottom 40% of the cumulative income distribution will be the sum of the first and second quintiles; the bottom 60% of the cumulative income distribution will be the sum of the first, second, and third quintiles, and so on. The final entry in the cumulative income column needs to be 100%, because by definition, 100% of the population receives 100% of the income.<\/p>\n\n<table style=\"border-collapse: collapse; width: 572px; height: 287px;\" border=\"0\" width=\"325\" cellspacing=\"0\" cellpadding=\"0\"><colgroup> <col style=\"width: 65pt;\" span=\"5\" width=\"65\"> <\/colgroup>\n<tbody>\n<tr>\n<td style=\"width: 560px;\" colspan=\"5\"><strong>Table 2. Calculating the Lorenz Curve<\/strong><\/td>\n<\/tr>\n<tr style=\"height: 14.0pt;\">\n<td class=\"xl65\" style=\"height: 14pt; width: 103px;\" height=\"14\"><strong>Income Category<\/strong><\/td>\n<td class=\"xl65\" style=\"width: 103px;\"><strong>Share of Income in 1980 (%)<\/strong><\/td>\n<td class=\"xl65\" style=\"width: 103px;\"><strong>Cumulative Share of Income in 1980 (%)<\/strong><\/td>\n<td class=\"xl65\" style=\"width: 103px;\"><strong>Share of Income in 2016 (%)<\/strong><\/td>\n<td class=\"xl65\" style=\"width: 104px;\"><strong>Cumulative Share of Income in 2016 (%)<\/strong><\/td>\n<\/tr>\n<tr style=\"height: 14.0pt;\">\n<td class=\"xl66\" style=\"height: 14pt; width: 103px;\" height=\"14\">First quintile<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">4.2<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">4.2<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">3.1<\/td>\n<td class=\"xl66\" style=\"width: 104px;\" align=\"right\">3.1<\/td>\n<\/tr>\n<tr style=\"height: 14.0pt;\">\n<td class=\"xl66\" style=\"height: 14pt; width: 103px;\" height=\"14\">Second quintile<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">10.2<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">14.4<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">8.3<\/td>\n<td class=\"xl66\" style=\"width: 104px;\" align=\"right\">11.4<\/td>\n<\/tr>\n<tr style=\"height: 14.0pt;\">\n<td class=\"xl66\" style=\"height: 14pt; width: 103px;\" height=\"14\">Third quintile<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">16.8<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">31.2<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">14.2<\/td>\n<td class=\"xl66\" style=\"width: 104px;\" align=\"right\">25.6<\/td>\n<\/tr>\n<tr style=\"height: 14.0pt;\">\n<td class=\"xl66\" style=\"height: 14pt; width: 103px;\" height=\"14\">Fourth quintile<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">24.7<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">55.9<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">22.9<\/td>\n<td class=\"xl66\" style=\"width: 104px;\" align=\"right\">48.5<\/td>\n<\/tr>\n<tr style=\"height: 14.0pt;\">\n<td class=\"xl66\" style=\"height: 14pt; width: 103px;\" height=\"14\">Fifth quintile<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">44.1<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">100<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">51.5<\/td>\n<td class=\"xl66\" style=\"width: 104px;\" align=\"right\">100<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p id=\"ch14mod04_p11\"><span style=\"font-size: 14.4px;\">In<\/span> a Lorenz curve diagram, a more unequal distribution of income will loop farther down and away from the 45-degree line, while a more equal distribution of income will move the line closer to the 45-degree line. Figure 2 illustrates the greater inequality of the U.S. income distribution between 1980 and 2016 because the Lorenz curve for 2016 is farther from the 45-degree line than for 1980. The Lorenz curve is a useful way of presenting the quintile data that provides an image of all the quintile data at once.<\/p>\n\n<header>\n<div class=\"textbox key-takeaways\">\n<h3>Measuring Income Inequality<\/h3>\n<header><\/header><section>\n<p id=\"ch14mod04_p12\">The U.S. economy has a relatively high degree of income inequality by global standards. As Table 3 shows, based on a variety of national surveys done for a selection of years in the last five years of the 2000s (with the exception of Germany, and adjusted to make the measures more comparable), the U.S. economy has greater inequality than Germany (along with most Western European countries). The region of the world with the highest level of income inequality is Latin America, illustrated in the numbers for Brazil and Mexico. The level of inequality in the United States is lower than in some of the low-income countries of the world, like China and Nigeria, or some middle-income countries like the Russian Federation. However, not all poor countries have highly unequal income distributions; India provides a counterexample.<\/p>\n\n<table id=\"ch14mod04_tab09\" summary=\"The table shows the income distribution in select countries. Column 1 lists the country. Column 2 lists the survey year. Column 3 lists the first quintile. Column 4 lists the second quintile. Column 5 lists the third quintile. Column 6 lists the fourth quintile. Column 7 lists the fifth quintile. United States in the year 2011 = 3.2% first quintile; 8.4% second quintile; 14.3% third quintile; 23.0% fourth quintile; 51.1% fifth quintile. Germany in the year 2000 = 8.5% first quintile; 13.7% second quintile; 17.8% third quintile; 23.1% fourth quintile; 36.9% fifth quintile. Brazil in the year 2009 = 2.9% first quintile; 7.1% second quintile; 12.4% third quintile; 19.0% fourth quintile; 58.6% fifth quintile. Mexico in the year 2010 = 4.9% first quintile; 8.8% second quintile; 13.3% third quintile; 20.2% fourth quintile; 52.8% fifth quintile. China in the year 2009 = 4.7% first quintile; 9.7% second quintile; 15.3% third quintile; 23.2% fourth quintile; 47.1% fifth quintile. India in the year 2010 = 8.5% first quintile; 12.1% second quintile; 15.7% third quintile; 20.8% fourth quintile; 42.8% fifth quintile. Russia in the year 2009 = 6.1% first quintile; 10.4% second quintile; 14.8% third quintile; 21.3% fourth quintile; 47.1% fifth quintile. Nigeria in the year 2010 = 4.4% first quintile; 8.3% second quintile; 13.0% third quintile; 20.3% fourth quintile; 54.0% fifth quintile.\"><caption>Table 3. Income Distribution in Select Countries&nbsp;(Source: U.S. data from U.S. Census Bureau Table H-2. Other data from The World Bank Poverty and Inequality Data Base, http:\/\/databank.worldbank.org\/data\/views\/reports\/tableview.aspx#)<\/caption>\n<thead>\n<tr>\n<th>Country<\/th>\n<th>Survey Year<\/th>\n<th>First Quintile<\/th>\n<th>Second Quintile<\/th>\n<th>Third Quintile<\/th>\n<th>Fourth Quintile<\/th>\n<th>Fifth Quintile<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>United States<\/td>\n<td>2011<\/td>\n<td>3.2%<\/td>\n<td>8.4%<\/td>\n<td>14.3%<\/td>\n<td>23.0%<\/td>\n<td>51.1%<\/td>\n<\/tr>\n<tr>\n<td>Germany<\/td>\n<td>2000<\/td>\n<td>8.5%<\/td>\n<td>13.7%<\/td>\n<td>17.8%<\/td>\n<td>23.1%<\/td>\n<td>36.9%<\/td>\n<\/tr>\n<tr>\n<td>Brazil<\/td>\n<td>2009<\/td>\n<td>2.9%<\/td>\n<td>7.1%<\/td>\n<td>12.4%<\/td>\n<td>19.0%<\/td>\n<td>58.6%<\/td>\n<\/tr>\n<tr>\n<td>Mexico<\/td>\n<td>2010<\/td>\n<td>4.9%<\/td>\n<td>8.8%<\/td>\n<td>13.3%<\/td>\n<td>20.2%<\/td>\n<td>52.8%<\/td>\n<\/tr>\n<tr>\n<td>China<\/td>\n<td>2009<\/td>\n<td>4.7%<\/td>\n<td>9.7%<\/td>\n<td>15.3%<\/td>\n<td>23.2%<\/td>\n<td>47.1%<\/td>\n<\/tr>\n<tr>\n<td>India<\/td>\n<td>2010<\/td>\n<td>8.5%<\/td>\n<td>12.1%<\/td>\n<td>15.7%<\/td>\n<td>20.8%<\/td>\n<td>42.8%<\/td>\n<\/tr>\n<tr>\n<td>Russia<\/td>\n<td>2009<\/td>\n<td>6.1%<\/td>\n<td>10.4%<\/td>\n<td>14.8%<\/td>\n<td>21.3%<\/td>\n<td>47.1%<\/td>\n<\/tr>\n<tr>\n<td>Nigeria<\/td>\n<td>2010<\/td>\n<td>4.4%<\/td>\n<td>8.3%<\/td>\n<td>13.0%<\/td>\n<td>20.3%<\/td>\n<td>54.0%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/section><\/div>\n<\/header>\n<div class=\"linkitup\">\n<div class=\"textbox examples\">\n<h3>Watch IT<\/h3>\nThis video explains income inequality and discusses some potential causes and fixes for reducing the large disparity between incomes in America.\n\n<iframe src=\"https:\/\/www.youtube.com\/embed\/0xMCWr0O3Hs?rel=0&amp;showinfo=0\" width=\"800\" height=\"470\" frameborder=\"0\"><\/iframe>\n\n<\/div>\n<div class=\"textbox tryit\">\n<h3>Try It<\/h3>\nhttps:\/\/assessments.lumenlearning.com\/assessments\/8073\nhttps:\/\/assessments.lumenlearning.com\/assessments\/8074\n\n<\/div>\n<\/div>\n<div class=\"textbox tryit\">\n<h3>Try It<\/h3>\nThese questions allow you to get as much practice as you need, as you can click the link at the top of the first question (\u201cTry another version of these questions\u201d) to get a new set of questions. Practice until you feel comfortable doing the questions.\n\n[ohm_question]155304[\/ohm_question]\n\n<\/div>\n<header>\n<div class=\"textbox learning-objectives\">\n<h3>Glossary<\/h3>\n<dl id=\"ch14mod04_gl01\">\n \t<dt>[glossary-page][glossary-term]Lorenz curve:[\/glossary-term]\n[glossary-definition]a graph that compares the cumulative income actually received to a perfectly equal distribution of income; it shows the share of population on the horizontal axis and the cumulative percentage of total income received on the vertical axis[\/glossary-definition][glossary-term]quintile:[\/glossary-term]\n[glossary-definition]dividing a group into fifths, a method economists often use to look at distribution of income[\/glossary-definition]\n[\/glossary-page]<\/dt>\n<\/dl>\n<dl id=\"ch14mod04_gl02\">\n \t<dd id=\"ch14mod04_gl02m\"><\/dd>\n<\/dl>\n<\/div>\n<\/header>\n","rendered":"<h2>What you\u2019ll learn to do: analyze and measure economic inequality<\/h2>\n<p>In September 2011, a group of protesters gathered in Zuccotti Park in New York City to decry what they perceived as increasing social and economic inequality in the United States. Calling their protest \u201cOccupy Wall Street,\u201d they argued that the concentration of wealth among the richest 1% in the United States was both economically unsustainable and inequitable, and needed to be changed. The protest then spread to other major cities, and the Occupy movement was born.<\/p>\n<p>Why were people so upset? How much wealth is concentrated among the top 1% in our society? How did they acquire so much wealth? These are very real, very important questions in the United States now, and this section on economic inequality will help us address the causes behind this sentiment.<\/p>\n<div class=\"textbox learning-objectives\">\n<h3>Learning Objectives<\/h3>\n<ul>\n<li>Explain the distribution of income<\/li>\n<li>Use the Lorenz Curve to analyze the distribution of income and wealth<\/li>\n<\/ul>\n<\/div>\n<p>In a market economy, your income depends on the resources you own (e.g. labor, land, etc.), and the value the market places on those resources. People who own a lot of resources and people who own resources that are highly valued will tend to earn higher incomes than people who do not. As a consequence, market economies tend to result in inequality of income and wealth. Whether this is good or bad depends at least in part on the degree of inequality. Few Americans believe that Bill Gates doesn&#8217;t deserve to be rich, because of the significant value his company, Microsoft, has brought to people. But should he have 100 times the wealth of the average American or 1 million times? That is the question.<\/p>\n<p>Poverty levels can be subjective based on the overall income levels of a country. Typically a government measures poverty based on a percentage of the median income. Income inequality, however, has to do with the distribution of that income, in terms of which group receives the most or the least income. Income inequality involves comparing those with high incomes, middle incomes, and low incomes\u2014not just looking at those below or near the poverty line. In turn, measuring income inequality means dividing the population into various groups and then comparing the groups, a task that we can be carry out in several ways.<\/p>\n<div class=\"textbox key-takeaways\">\n<h3>HOW DO YOU SEPARATE POVERTY AND INCOME INEQUALITY?<\/h3>\n<p>Poverty levels can be subjective based on the overall income levels of a country; typically poverty is measured based on a percentage of the median income. Income inequality, however, has to do with the distribution of that income, in terms of which group receives the most or the least income. Income inequality involves comparing those with high incomes, middle incomes, and low incomes\u2014not just looking at those below or near the poverty line. In turn, measuring income inequality means dividing up the population into various groups and then comparing the groups, a task that can be carried out in several ways.<\/p>\n<div id=\"attachment_8605\" style=\"width: 1010px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-8605\" class=\"wp-image-8605 size-full\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2042\/2018\/02\/29190405\/WeGrewTogetherVsApart-1.jpg\" alt=\"Growth of Family Income: From 1947-1979 vs. 1979-2014. Earlier, all 5 quintiles and the 1% grew, most around 100%, while in the past 30 years, average family income growth decline for the bottom 20%, rose only 3% for the second 20%, rose 12% for the middle fifth, rose 26% for the fourth 20%, then was up 54% for the top 20%. The top 1% grew by 162%.\" width=\"1000\" height=\"750\" \/><\/p>\n<p id=\"caption-attachment-8605\" class=\"wp-caption-text\"><strong>Figure 1.<\/strong> Growth of Family Income. Source: Andrea Witte, http:\/\/www.connectthedotsusa.com\/.<\/p>\n<\/div>\n<\/div>\n<p id=\"ch14mod04_p02\">Poverty can change even when inequality does not move at all. Imagine a situation in which income for everyone in the population declines by 10%. Poverty would rise, since a greater share of the population would now fall below the poverty line. However, inequality would be the same, because everyone suffered the same proportional loss. Conversely, a general rise in income levels over time would keep inequality the same, but reduce poverty.<\/p>\n<p id=\"ch14mod04_p03\">It is also possible for income inequality to change without affecting the poverty rate. Imagine a situation in which a large number of people who already have high incomes increase their incomes by even more. Inequality would rise as a result\u2014but the number of people below the poverty line would remain unchanged.<\/p>\n<p>Why did inequality of household income increase in the United States in recent decades? Indeed, a trend toward greater income inequality has occurred in many countries around the world, although the effect has been more powerful in the U.S. economy. Economists have focused their explanations for the increasing inequality on two factors that changed more or less continually from the 1970s into the 2000s. One set of explanations focuses on the changing shape of American households; the other focuses on greater inequality of wages, what some economists call &#8220;winner take all&#8221; <em>labor markets<\/em>. We will begin with how we measure inequality, and then consider the explanations for growing inequality in the United States.<\/p>\n<h2><span class=\"cnx-gentext-section cnx-gentext-t\">Measuring Income Distribution by Quintiles<\/span><\/h2>\n<p id=\"ch14mod04_p05\">One common way of measuring income inequality is to rank all households by income, from lowest to highest, and then to divide all households into five groups with equal numbers of people, known as quintiles. This calculation allows for measuring the distribution of income among the five groups compared to the total. The first quintile is the lowest fifth or 20%, the second quintile is the next lowest, and so on. We can measure income inequality by comparing what share of the total income each quintile earns.<\/p>\n<p id=\"ch14mod04_p06\">U.S. income distribution by quintile appears in Table 1. In&nbsp;2016, for example, the bottom quintile of the income distribution received 3.1% of income; the second quintile received 8.3%; the third quintile, 14.2%; the fourth quintile, 22.9%; and the top quintile, 51.5%. The final column of Figure 1 shows what share of income went to households in the top 5% of the income distribution: 22.6% in 2016. Over time, from the late 1960s to the early 1980s, the top fifth of the income distribution typically received between about 43% to 44% of all income. The share of income that the top fifth received then begins to rise. Census Bureau researchers trace, much of this increase in the share of income going to the top fifth to an increase in the share of income going to the top 5%. The quintile measure shows how income inequality has increased in recent decades.<\/p>\n<table>\n<tbody>\n<tr>\n<td style=\"width: 755px;\" colspan=\"7\"><strong>Table 1. Share of Aggregate Income Received by Each Fifth and Top 5 Percent of Households,<\/strong> All Races: 1967 to 2016 (Source: U.S. Census Bureau, Table H-2)<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\" rowspan=\"2\"><strong>Year<\/strong><\/td>\n<td style=\"width: 342px;\" colspan=\"6\"><strong>Shares of aggregate income<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 65px;\">Lowest<br \/>\nfifth<\/td>\n<td style=\"width: 60px;\">Second<br \/>\nfifth<\/td>\n<td style=\"width: 44px;\">Third<br \/>\nfifth<\/td>\n<td style=\"width: 53px;\">Fourth<br \/>\nfifth<\/td>\n<td style=\"width: 60px;\">Highest<br \/>\nfifth<\/td>\n<td style=\"width: 60px;\">Top 5<br \/>\npercent<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">1967<\/td>\n<td style=\"width: 65px;\">4.0<\/td>\n<td style=\"width: 60px;\">10.8<\/td>\n<td style=\"width: 44px;\">17.3<\/td>\n<td style=\"width: 53px;\">24.2<\/td>\n<td style=\"width: 60px;\">43.6<\/td>\n<td style=\"width: 60px;\">17.2<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">1970<\/td>\n<td style=\"width: 65px;\">4.1<\/td>\n<td style=\"width: 60px;\">10.8<\/td>\n<td style=\"width: 44px;\">17.4<\/td>\n<td style=\"width: 53px;\">24.5<\/td>\n<td style=\"width: 60px;\">43.3<\/td>\n<td style=\"width: 60px;\">16.6<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">1975<\/td>\n<td style=\"width: 65px;\">4.3<\/td>\n<td style=\"width: 60px;\">10.4<\/td>\n<td style=\"width: 44px;\">17.0<\/td>\n<td style=\"width: 53px;\">24.7<\/td>\n<td style=\"width: 60px;\">43.6<\/td>\n<td style=\"width: 60px;\">16.5<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">1980<\/td>\n<td style=\"width: 65px;\">4.2<\/td>\n<td style=\"width: 60px;\">10.2<\/td>\n<td style=\"width: 44px;\">16.8<\/td>\n<td style=\"width: 53px;\">24.7<\/td>\n<td style=\"width: 60px;\">44.1<\/td>\n<td style=\"width: 60px;\">16.5<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">1985<\/td>\n<td style=\"width: 65px;\">3.9<\/td>\n<td style=\"width: 60px;\">9.8<\/td>\n<td style=\"width: 44px;\">16.2<\/td>\n<td style=\"width: 53px;\">24.4<\/td>\n<td style=\"width: 60px;\">45.6<\/td>\n<td style=\"width: 60px;\">17.6<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">1990<\/td>\n<td style=\"width: 65px;\">3.8<\/td>\n<td style=\"width: 60px;\">9.6<\/td>\n<td style=\"width: 44px;\">15.9<\/td>\n<td style=\"width: 53px;\">24.0<\/td>\n<td style=\"width: 60px;\">46.6<\/td>\n<td style=\"width: 60px;\">18.5<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">1995<\/td>\n<td style=\"width: 65px;\">3.7<\/td>\n<td style=\"width: 60px;\">9.1<\/td>\n<td style=\"width: 44px;\">15.2<\/td>\n<td style=\"width: 53px;\">23.3<\/td>\n<td style=\"width: 60px;\">48.7<\/td>\n<td style=\"width: 60px;\">21.0<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">2000<\/td>\n<td style=\"width: 65px;\">3.6<\/td>\n<td style=\"width: 60px;\">8.9<\/td>\n<td style=\"width: 44px;\">14.8<\/td>\n<td style=\"width: 53px;\">23.0<\/td>\n<td style=\"width: 60px;\">49.8<\/td>\n<td style=\"width: 60px;\">22.1<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">2005<\/td>\n<td style=\"width: 65px;\">3.4<\/td>\n<td style=\"width: 60px;\">8.6<\/td>\n<td style=\"width: 44px;\">14.6<\/td>\n<td style=\"width: 53px;\">23.0<\/td>\n<td style=\"width: 60px;\">50.4<\/td>\n<td style=\"width: 60px;\">22.2<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">2010<\/td>\n<td style=\"width: 65px;\">3.3<\/td>\n<td style=\"width: 60px;\">8.5<\/td>\n<td style=\"width: 44px;\">14.6<\/td>\n<td style=\"width: 53px;\">23.4<\/td>\n<td style=\"width: 60px;\">50.3<\/td>\n<td style=\"width: 60px;\">21.3<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">2015<\/td>\n<td style=\"width: 65px;\">3.1<\/td>\n<td style=\"width: 60px;\">8.2<\/td>\n<td style=\"width: 44px;\">14.3<\/td>\n<td style=\"width: 53px;\">23.2<\/td>\n<td style=\"width: 60px;\">51.1<\/td>\n<td style=\"width: 60px;\">22.1<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 413px;\">2016<\/td>\n<td style=\"width: 65px;\">3.1<\/td>\n<td style=\"width: 60px;\">8.3<\/td>\n<td style=\"width: 44px;\">14.2<\/td>\n<td style=\"width: 53px;\">22.9<\/td>\n<td style=\"width: 60px;\">51.5<\/td>\n<td style=\"width: 60px;\">22.6<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 755px;\" colspan=\"7\"><a>Source: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplements. &nbsp; For information on confidentiality protection, sampling error, nonsampling error, and definitions, see \/\/www2.census.gov\/programs-surveys\/cps\/techdocs\/cpsmar17.pdf<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p id=\"ch14mod04_p07\">It can also be useful to divide the income distribution in ways other than quintiles; for example, into tenths or even into percentiles (that is, hundredths). A more detailed breakdown can provide additional insights. For example, the last column of Table 1 shows the income received by the top 5% percent of the income distribution. Between 1980 and 2016, the share of income going to the top 5% increased by 6.1 percentage points (from 16.5% in 1980 to 22.6% in 2016). From 1980 to 2016 the share of income going to the top quintile increased by 7.5 percentage points (from 44.1% in 1980 to 51.5% in 2016). Thus, the top 20% of householders (the fifth quintile) received over half (51.5%) of all the income in the United States in 2016.<\/p>\n<div class=\"textbox tryit\">\n<h3>Try It<\/h3>\n<p>\t<iframe id=\"lumen_assessment_8072\" class=\"resizable\" src=\"https:\/\/assessments.lumenlearning.com\/assessments\/load?assessment_id=8072&#38;embed=1&#38;external_user_id=&#38;external_context_id=&#38;iframe_resize_id=lumen_assessment_8072\" frameborder=\"0\" style=\"border:none;width:100%;height:100%;min-height:400px;\"><br \/>\n\t<\/iframe><\/p>\n<\/div>\n<h2><span class=\"cnx-gentext-section cnx-gentext-t\">Lorenz Curve<\/span><\/h2>\n<p>The data on income inequality can be presented in various ways. For example, you could draw a bar graph that showed the share of income going to each fifth of the income distribution. Figure 2 presents an alternative way of showing inequality data in what is called a <strong>Lorenz curve<\/strong>. The Lorenz curve shows the cumulative share of population on the horizontal axis and the cumulative percentage of total income received on the vertical axis.<\/p>\n<div id=\"attachment_8139\" style=\"width: 539px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-8139\" class=\"wp-image-8139 size-full\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/2042\/2018\/02\/07225934\/Screen-Shot-2018-05-07-at-5.59.12-PM.png\" alt=\"The graph shows an upward sloping dashed plum line labeled Perfect equality extending from the origin to the point (100, 100%). Beneath the dashed line are two upward sloping curves. The one closest to the dashed line is labeled 1980, and the line further from the dashed line is labeled 2016.\" width=\"529\" height=\"492\" \/><\/p>\n<p id=\"caption-attachment-8139\" class=\"wp-caption-text\"><strong>Figure 2.<\/strong> <strong>The Lorenz Curve.<\/strong> A Lorenz curve graphs the cumulative shares of income received by everyone up to a certain quintile. The income distribution in 1980 was closer to the perfect equality line than the income distribution in 2016\u2014that is, the U.S. income distribution became more unequal over time.<\/p>\n<\/div>\n<p id=\"ch14mod04_p09\">Every Lorenz curve diagram begins with a line sloping up at a 45-degree angle. We show it as a dashed line in Figure 2. The points along this line show what perfect equality of the income distribution looks like. It would mean, for example, that the bottom 20% of the income distribution receives 20% of the total income, the bottom 40% gets 40% of total income, and so on. The other lines reflect actual U.S. data on inequality for 1980 and 2016.<\/p>\n<p id=\"ch14mod04_p10\">The trick in graphing a Lorenz curve is that you must change the shares of income for each specific quintile, which we show in the first column of numbers in Table 2, into cumulative income, which we show in the second column of numbers. For example, the bottom 40% of the cumulative income distribution will be the sum of the first and second quintiles; the bottom 60% of the cumulative income distribution will be the sum of the first, second, and third quintiles, and so on. The final entry in the cumulative income column needs to be 100%, because by definition, 100% of the population receives 100% of the income.<\/p>\n<table style=\"border-collapse: collapse; width: 572px; height: 287px; width: 325px; border-spacing: 0px;\" cellpadding=\"0\">\n<colgroup>\n<col style=\"width: 65pt;\" span=\"5\" width=\"65\" \/> <\/colgroup>\n<tbody>\n<tr>\n<td style=\"width: 560px;\" colspan=\"5\"><strong>Table 2. Calculating the Lorenz Curve<\/strong><\/td>\n<\/tr>\n<tr style=\"height: 14.0pt;\">\n<td class=\"xl65\" style=\"height: 14pt; width: 103px; height: 14px;\"><strong>Income Category<\/strong><\/td>\n<td class=\"xl65\" style=\"width: 103px;\"><strong>Share of Income in 1980 (%)<\/strong><\/td>\n<td class=\"xl65\" style=\"width: 103px;\"><strong>Cumulative Share of Income in 1980 (%)<\/strong><\/td>\n<td class=\"xl65\" style=\"width: 103px;\"><strong>Share of Income in 2016 (%)<\/strong><\/td>\n<td class=\"xl65\" style=\"width: 104px;\"><strong>Cumulative Share of Income in 2016 (%)<\/strong><\/td>\n<\/tr>\n<tr style=\"height: 14.0pt;\">\n<td class=\"xl66\" style=\"height: 14pt; width: 103px; height: 14px;\">First quintile<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">4.2<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">4.2<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">3.1<\/td>\n<td class=\"xl66\" style=\"width: 104px;\" align=\"right\">3.1<\/td>\n<\/tr>\n<tr style=\"height: 14.0pt;\">\n<td class=\"xl66\" style=\"height: 14pt; width: 103px; height: 14px;\">Second quintile<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">10.2<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">14.4<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">8.3<\/td>\n<td class=\"xl66\" style=\"width: 104px;\" align=\"right\">11.4<\/td>\n<\/tr>\n<tr style=\"height: 14.0pt;\">\n<td class=\"xl66\" style=\"height: 14pt; width: 103px; height: 14px;\">Third quintile<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">16.8<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">31.2<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">14.2<\/td>\n<td class=\"xl66\" style=\"width: 104px;\" align=\"right\">25.6<\/td>\n<\/tr>\n<tr style=\"height: 14.0pt;\">\n<td class=\"xl66\" style=\"height: 14pt; width: 103px; height: 14px;\">Fourth quintile<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">24.7<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">55.9<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">22.9<\/td>\n<td class=\"xl66\" style=\"width: 104px;\" align=\"right\">48.5<\/td>\n<\/tr>\n<tr style=\"height: 14.0pt;\">\n<td class=\"xl66\" style=\"height: 14pt; width: 103px; height: 14px;\">Fifth quintile<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">44.1<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">100<\/td>\n<td class=\"xl66\" style=\"width: 103px;\" align=\"right\">51.5<\/td>\n<td class=\"xl66\" style=\"width: 104px;\" align=\"right\">100<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p id=\"ch14mod04_p11\"><span style=\"font-size: 14.4px;\">In<\/span> a Lorenz curve diagram, a more unequal distribution of income will loop farther down and away from the 45-degree line, while a more equal distribution of income will move the line closer to the 45-degree line. Figure 2 illustrates the greater inequality of the U.S. income distribution between 1980 and 2016 because the Lorenz curve for 2016 is farther from the 45-degree line than for 1980. The Lorenz curve is a useful way of presenting the quintile data that provides an image of all the quintile data at once.<\/p>\n<header>\n<div class=\"textbox key-takeaways\">\n<h3>Measuring Income Inequality<\/h3>\n<\/div>\n<\/header>\n<header><\/header>\n<section>\n<p id=\"ch14mod04_p12\">The U.S. economy has a relatively high degree of income inequality by global standards. As Table 3 shows, based on a variety of national surveys done for a selection of years in the last five years of the 2000s (with the exception of Germany, and adjusted to make the measures more comparable), the U.S. economy has greater inequality than Germany (along with most Western European countries). The region of the world with the highest level of income inequality is Latin America, illustrated in the numbers for Brazil and Mexico. The level of inequality in the United States is lower than in some of the low-income countries of the world, like China and Nigeria, or some middle-income countries like the Russian Federation. However, not all poor countries have highly unequal income distributions; India provides a counterexample.<\/p>\n<table id=\"ch14mod04_tab09\" summary=\"The table shows the income distribution in select countries. Column 1 lists the country. Column 2 lists the survey year. Column 3 lists the first quintile. Column 4 lists the second quintile. Column 5 lists the third quintile. Column 6 lists the fourth quintile. Column 7 lists the fifth quintile. United States in the year 2011 = 3.2% first quintile; 8.4% second quintile; 14.3% third quintile; 23.0% fourth quintile; 51.1% fifth quintile. Germany in the year 2000 = 8.5% first quintile; 13.7% second quintile; 17.8% third quintile; 23.1% fourth quintile; 36.9% fifth quintile. Brazil in the year 2009 = 2.9% first quintile; 7.1% second quintile; 12.4% third quintile; 19.0% fourth quintile; 58.6% fifth quintile. Mexico in the year 2010 = 4.9% first quintile; 8.8% second quintile; 13.3% third quintile; 20.2% fourth quintile; 52.8% fifth quintile. China in the year 2009 = 4.7% first quintile; 9.7% second quintile; 15.3% third quintile; 23.2% fourth quintile; 47.1% fifth quintile. India in the year 2010 = 8.5% first quintile; 12.1% second quintile; 15.7% third quintile; 20.8% fourth quintile; 42.8% fifth quintile. Russia in the year 2009 = 6.1% first quintile; 10.4% second quintile; 14.8% third quintile; 21.3% fourth quintile; 47.1% fifth quintile. Nigeria in the year 2010 = 4.4% first quintile; 8.3% second quintile; 13.0% third quintile; 20.3% fourth quintile; 54.0% fifth quintile.\">\n<caption>Table 3. Income Distribution in Select Countries&nbsp;(Source: U.S. data from U.S. Census Bureau Table H-2. Other data from The World Bank Poverty and Inequality Data Base, http:\/\/databank.worldbank.org\/data\/views\/reports\/tableview.aspx#)<\/caption>\n<thead>\n<tr>\n<th>Country<\/th>\n<th>Survey Year<\/th>\n<th>First Quintile<\/th>\n<th>Second Quintile<\/th>\n<th>Third Quintile<\/th>\n<th>Fourth Quintile<\/th>\n<th>Fifth Quintile<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>United States<\/td>\n<td>2011<\/td>\n<td>3.2%<\/td>\n<td>8.4%<\/td>\n<td>14.3%<\/td>\n<td>23.0%<\/td>\n<td>51.1%<\/td>\n<\/tr>\n<tr>\n<td>Germany<\/td>\n<td>2000<\/td>\n<td>8.5%<\/td>\n<td>13.7%<\/td>\n<td>17.8%<\/td>\n<td>23.1%<\/td>\n<td>36.9%<\/td>\n<\/tr>\n<tr>\n<td>Brazil<\/td>\n<td>2009<\/td>\n<td>2.9%<\/td>\n<td>7.1%<\/td>\n<td>12.4%<\/td>\n<td>19.0%<\/td>\n<td>58.6%<\/td>\n<\/tr>\n<tr>\n<td>Mexico<\/td>\n<td>2010<\/td>\n<td>4.9%<\/td>\n<td>8.8%<\/td>\n<td>13.3%<\/td>\n<td>20.2%<\/td>\n<td>52.8%<\/td>\n<\/tr>\n<tr>\n<td>China<\/td>\n<td>2009<\/td>\n<td>4.7%<\/td>\n<td>9.7%<\/td>\n<td>15.3%<\/td>\n<td>23.2%<\/td>\n<td>47.1%<\/td>\n<\/tr>\n<tr>\n<td>India<\/td>\n<td>2010<\/td>\n<td>8.5%<\/td>\n<td>12.1%<\/td>\n<td>15.7%<\/td>\n<td>20.8%<\/td>\n<td>42.8%<\/td>\n<\/tr>\n<tr>\n<td>Russia<\/td>\n<td>2009<\/td>\n<td>6.1%<\/td>\n<td>10.4%<\/td>\n<td>14.8%<\/td>\n<td>21.3%<\/td>\n<td>47.1%<\/td>\n<\/tr>\n<tr>\n<td>Nigeria<\/td>\n<td>2010<\/td>\n<td>4.4%<\/td>\n<td>8.3%<\/td>\n<td>13.0%<\/td>\n<td>20.3%<\/td>\n<td>54.0%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/section>\n<div class=\"linkitup\">\n<div class=\"textbox examples\">\n<h3>Watch IT<\/h3>\n<p>This video explains income inequality and discusses some potential causes and fixes for reducing the large disparity between incomes in America.<\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/0xMCWr0O3Hs?rel=0&amp;showinfo=0\" width=\"800\" height=\"470\" frameborder=\"0\"><\/iframe><\/p>\n<\/div>\n<div class=\"textbox tryit\">\n<h3>Try It<\/h3>\n<p>\t<iframe id=\"lumen_assessment_8073\" class=\"resizable\" src=\"https:\/\/assessments.lumenlearning.com\/assessments\/load?assessment_id=8073&#38;embed=1&#38;external_user_id=&#38;external_context_id=&#38;iframe_resize_id=lumen_assessment_8073\" frameborder=\"0\" style=\"border:none;width:100%;height:100%;min-height:400px;\"><br \/>\n\t<\/iframe><br \/>\n\t<iframe id=\"lumen_assessment_8074\" class=\"resizable\" src=\"https:\/\/assessments.lumenlearning.com\/assessments\/load?assessment_id=8074&#38;embed=1&#38;external_user_id=&#38;external_context_id=&#38;iframe_resize_id=lumen_assessment_8074\" frameborder=\"0\" style=\"border:none;width:100%;height:100%;min-height:400px;\"><br \/>\n\t<\/iframe><\/p>\n<\/div>\n<\/div>\n<div class=\"textbox tryit\">\n<h3>Try It<\/h3>\n<p>These questions allow you to get as much practice as you need, as you can click the link at the top of the first question (\u201cTry another version of these questions\u201d) to get a new set of questions. Practice until you feel comfortable doing the questions.<\/p>\n<p><iframe loading=\"lazy\" id=\"ohm155304\" class=\"resizable\" src=\"https:\/\/ohm.lumenlearning.com\/multiembedq.php?id=155304&theme=oea&iframe_resize_id=ohm155304&show_question_numbers\" width=\"100%\" height=\"150\"><\/iframe><\/p>\n<\/div>\n<header>\n<div class=\"textbox learning-objectives\">\n<h3>Glossary<\/h3>\n<dl id=\"ch14mod04_gl01\">\n<dt>\n<div class=\"titlepage\">\n<dl>\n<dt>Lorenz curve:<\/dt>\n<dd>a graph that compares the cumulative income actually received to a perfectly equal distribution of income; it shows the share of population on the horizontal axis and the cumulative percentage of total income received on the vertical axis<\/dd>\n<dt>quintile:<\/dt>\n<dd>dividing a group into fifths, a method economists often use to look at distribution of income<\/dd>\n<\/dl>\n<\/div>\n<\/dt>\n<\/dl>\n<dl id=\"ch14mod04_gl02\">\n<dd id=\"ch14mod04_gl02m\"><\/dd>\n<\/dl>\n<\/div>\n<\/header>\n\n\t\t\t <section class=\"citations-section\" role=\"contentinfo\">\n\t\t\t <h3>Candela Citations<\/h3>\n\t\t\t\t\t <div>\n\t\t\t\t\t\t <div id=\"citation-list-144\">\n\t\t\t\t\t\t\t <div class=\"licensing\"><div class=\"license-attribution-dropdown-subheading\">CC licensed content, Original<\/div><ul class=\"citation-list\"><li>Modification, adaptation, and original content. <strong>Provided by<\/strong>: Lumen Learning. <strong>License<\/strong>: <em><a target=\"_blank\" rel=\"license\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\">CC BY: Attribution<\/a><\/em><\/li><li>Income and Wealth Inequality: Crash Course Economics #17. <strong>Provided by<\/strong>: CrashCourse. <strong>Located at<\/strong>: <a target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=0xMCWr0O3Hs\">https:\/\/www.youtube.com\/watch?v=0xMCWr0O3Hs<\/a>. <strong>License<\/strong>: <em>Other<\/em>. <strong>License Terms<\/strong>: Standard YouTube License<\/li><li>Introduction to the Distribution of Income. <strong>Authored by<\/strong>: Steven Greenlaw and Lumen Learning. <strong>License<\/strong>: <em><a target=\"_blank\" rel=\"license\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\">CC BY: Attribution<\/a><\/em><\/li><\/ul><div class=\"license-attribution-dropdown-subheading\">CC licensed content, Shared previously<\/div><ul class=\"citation-list\"><li>Income Inequality: Measurement and Causes. <strong>Authored by<\/strong>: OpenStax College. <strong>Located at<\/strong>: <a target=\"_blank\" href=\"https:\/\/cnx.org\/contents\/vEmOH-_p@4.41:91jUUvaP@3\/Income-Inequality-Measurement-\">https:\/\/cnx.org\/contents\/vEmOH-_p@4.41:91jUUvaP@3\/Income-Inequality-Measurement-<\/a>. <strong>License<\/strong>: <em><a target=\"_blank\" rel=\"license\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\">CC BY: Attribution<\/a><\/em>. <strong>License Terms<\/strong>: Download for free at http:\/\/cnx.org\/content\/col11627\/latest<\/li><\/ul><\/div>\n\t\t\t\t\t\t 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