More Evidence That Global Income Inequality Is Decreasing

More Evidence That Global Income Inequality Is Decreasing

More Evidence That Global Income Inequality Is Decreasing by Daniel Fernandez Mendez, Mises Institute

Over time, the claim that there is increasing income inequality globally has looked increasingly like a fairy tale. The assertions of inequality consist of the popular notion that the spread of capitalism leads to an immense increase in income inequality. The differences between rich and poor, we are told, are rising so fast that the situation is no longer sustainable. The narrative further asserts that there is an intrinsic tendency in capitalism toward inequality. This story is so often repeated that nobody questions it.

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Is this picture accurate? The “naked” data seems to agree with the Marxist version of the market process, in which a small number of capitalists get richer as the people overall become more impoverished over time. Indeed, it seems that inequality since the Industrial Revolution has exploded. We can see how global inequality exploded since 1820 in both commonly-used indicators of inequality: Gini and Theil indices (figure 1).

Figure 1

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Data source: Milanovic (2009)

A closer look at the available data, however, suggests something else.

First, we notice that the world’s income inequality has been decreasing since 1980. This decrease is mainly because of the introduction of market reforms in China that caused huge increases in productivity and remarkable high rates of growth that get out of poverty millions of people. In other words, 1.3 billion people are converging toward the world’s average income.

Nonetheless the differences between the richer and poorer increased substantially between 1850 and 1980. So the question remains unanswered: is capitalism the cause?

Within-Border Inequality vs. Cross-Border Inequality

In the early nineteenth century, the Gini coefficient was 43 while in the early twenty-first century was near 70 (the number changes between 65 and 70 depending the on source of the data).

But are these numbers comparable? For this task we have to separate the components of the Gini coefficient into income differences within borders, and differences across borders.

During the early nineteenth century, 35 percent of the global inequality found by the Gini index was due to differences across national borders. At the same time, 65 percent of the inequality was generated by differences in incomes within each country. But by the early twenty-first century, 85 to 90 percent of the inequality was due to differences across national borders, while only 10 to 15 percent of inequality was due to income differences within each country.

In other words, the main source of inequality in the world has changed from the within-border inequality to cross-border inequality.

This is clearly an indicator that inequality does not come from capitalism, but comes from the spread of industrialism and market institutions to different places at a different pace. If half of the world embraces markets and the other half doesn’t, it is clear that the development of the first group makes the world more unequal, but this fact doesn’t tell us anything about the inequality in the areas adopting market institutions. Indeed, the available data supports precisely this hypothesis: inequality across countries has risen from 15 Gini points to 60–63 Gini points, while within-border inequality has fallen from 28 points to 7–11 points (figure 2 and 3):

Figure 2

Global Income Inequality

Data source: Milanovic (2009)

Figure 3

Global Income Inequality

Data source: Milanovic (2009)

In both Gini and Theil indicators, the trend shows that cross-border inequality rises while the within-border inequality diminishes until 1980. The last observation changes the trend, as we pointed out, partly because of the recent incorporation of China and its labor force into the international economy.

Inequality is Unavoidable in Poor Societies

We can use another approach to the inequality measurement if we take subsistence levels into account. In preindustrial societies, the average income was very close to the subsistence level, but as populations move away from subsistence living, the Gini index value may increase if low-level income growth does not match growth at the high level.

In other words, the higher the top income goes, the greater the inequality. The income level of subsistence is set at $300:

Figure 4

Global Income Inequality

Data source: Milanovic (2009)

Figure 5

Global Income Inequality

Data source: Milanovic (2009)

In 1820, the average global income was only twice the subsistence level. But by 1980, the average income was around fifteen times the subsistence level. All the while, however, inequality, as measured by both the Gini and Theil indices, was increasing.

Branko Milanovic takes this a step further. From here we can compare the “maximum feasible inequality” with the measurement of this equality and we obtain what is called the “extraction ratio.”

“Extraction ratio” is a vague term, and gives the impression that wealth is extracted instead of created, but the logic behind the metric is solid: given the maximum amount of inequality possible, how far is this maximum point from the actual measurement of it?

Figure 6

Global Income Inequality

Data source: Milanovic (2009)

When this gap is measured, we see two different trends depending on the indicator that we choose. The Gini indicator shows us that inequality has slightly decreased since the Industrial Revolution, but the level of inequality remains more or less constant. The Theil indicator, in contrast, shows us a huge decrease in inequality since the Industrial Revolution takes place.


As we attempt to measure inequality, we see that, in the first place, it is caused by the irregular adoption of market institutions over the world. If we disaggregate the data we see that inequality within countries has plummeted, suggesting that market institutions tend to make the society more equal.

In the second case, we see that preindustrial societies are equal because of their low income. Disparity of incomes can only be achievable in rich societies. Once we seriously consider subsistence levels, we find that inequality slightly decreases in the last 200 years measured by the Gini index, or strongly decreases when measured with the Theil index.

The claim that markets are the cause of increasing an “unsustainable” inequality is now less convincing than ever.

Note: The views expressed on are not necessarily those of the Mises Institute.

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  1. Quote: First, we notice that the world’s income inequality has been decreasing since 1980.

    The problem being is that at least one of the measures is a statistical confidence trick. I suspect that the other is – like the S80/S20 uses quintiles to dumb down inequality between the poorest group and richest group.

    Unfortunately, inequality is worse than people think. Have you noticed how the Gini goes up and down? This is to make people believe that government are addressing inequality and are reigning it back in.

    Since the 1980’s the rich have been increasing their income by compound rises of up to 30% year on year – whilst holding down workers. Meanwhile – even here in the rich UK – we still have poverty and homelessness.

    My findings are that the Gini is a statistical confidence trick to hide ever growing inequality between a countries powerful rich families and the rest of the population. Surely you must have noticed, incomes diverge – the poorer you are – the less percentage rise you have than the rich – therefore inequality must worsen. Incomes have never converged to make inequality better – have they?

    I sent the UK Statistics Authority and the Office for National Statistics my findings in the form of a video – simple enough for a school kid to understand. Sadly, they are guilty of intellectual cowardice in their evasion to discuss these findings with me.

    It explains things, like how the poor are not even compared to the rich – just to average income. Also how immigration helps hide worsening inequality – more poor people enable the rich to get richer.

    The best I could get from the UK Statistics Authority is them admitting to me the Gini “is not ideal if your particular interest is in inequalities at the top or bottom of the spectrum”. This is the first time I heard they disclosed the fact they know it is “not ideal” for showing the inequalities of the rich or poor. Inequality is a greater burden to our poorest – do you not think it is insulting to these people to ignore them?

    Indeed, it is very important that they should include the top and bottom, as it is an essential factor in making the derived analysis more accurate. Yet everybody ignores this fact. The only logical reason to ignore the poorest and richest groups is to hide how bad inequality is. This fact alone makes it unfit for purpose.

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