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Visualizing Global Income Distribution Over 200 Years

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Global Income Distribution infographic

Visualizing Global Income Distribution Over 200 Years

Has the world become more unequal?

With COVID-19 disrupting societies and lower-income countries in particular, social and economic progress made over the last decade is in danger of being reversed. And with rising living costs and inflation across much of the world, experts warn that global income inequality has been exacerbated.

But the good news is that absolute incomes across many poorer countries have significantly risen over the last century of time. And though work remains, poverty levels have fallen dramatically in spite of stark inequality.

To analyze historical trends in global income distribution, this infographic from Our World in Data looks at three periods over the last two centuries. It uses economic data from 1800, 1975, and 2015 compiled by Hans and Ola Rosling.

Methodology

For global income estimates, data was gathered by country across three key variables:

  • Population
  • GDP per capita
  • Gini coefficient, which measures income inequality by statistical distribution

Daily incomes were measured in a hypothetical “international-$” currency, equal to what a U.S. dollar would buy in America in 2011, to allow for comparable incomes across time periods and countries.

Historical Patterns in Global Income Distribution

In 1800, over 80% of the world lived in what we consider extreme poverty today.

At the time, only a small number of countries—predominantly Western European countries, Australia, Canada and the U.S.—saw meaningful economic growth. In fact, research suggests that between 1 CE and 1800 CE the majority of places around the world saw miniscule economic growth (only 0.04% annually).

By 1975, global income distribution became bimodal. Most citizens in developing countries lived below the poverty line, while most in developed countries lived above it, with incomes nearly 10 times higher on average. Post-WWII growth was unusually rapid across developed countries.

Fast forward just 40 years to 2015 and world income distribution changed again. As incomes rose faster in poorer countries than developed ones, many people were lifted out of poverty. Between 1975 and 2015, poverty declined faster than at any other time. Still, steep inequality persisted.

A Tale of Different Economic Outputs

Even as global income distribution has started to even out, economic output has trended in the opposite direction.

As the above interactive chart shows, GDP per capita was much more equal across regions in the 19th century, when it sat around $1,100 per capita on a global basis. Despite many people living below the poverty line during these times, the world also had less wealth to go around.

Today, the global average GDP per capita sits at close to $15,212 or about 14 times higher, but it is not as equally distributed.

At the highest end of the spectrum are Western and European countries. Strong economic growth, greater industrial output, and sufficient legal institutions have helped underpin higher GDP per capita numbers. Meanwhile, countries with the lowest average incomes have not seen the same levels of growth.

This highlights that poverty, and economic prosperity, is heavily influenced by where one lives.

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This article was published as a part of Visual Capitalist's Creator Program, which features data-driven visuals from some of our favorite Creators around the world.

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Leadership

Ranked: America’s Smartest CEOs According to Linguistic Analysis

This infographic reveals the smartest CEOs in the U.S., ranked by how intelligently they communicate complex ideas.

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America’s Smartest CEOs According to Linguistic Analysis

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Key Takeaways

  • Preply analyzed dialogue from over 100 American CEOs to score their intelligence
  • NVIDIA’s Jensen Huang scored the highest in this ranking, followed by Lockheed Martin’s Jim Taiclet and DeepMind’s Demis Hassabis

How smart are America’s top CEOs?

A recent study published in Frontiers in Psychology found that individuals who use more complex sentence structures tend to perform better in uncertain decision-making scenarios—suggesting a link between linguistic sophistication and cognitive ability.

In this infographic, we rank the 15 smartest CEOs in the U.S., based on linguistic analysis conducted by Preply.

Data & Methodology

Preply’s ranking of America’s smartest CEOs is based on a linguistic analysis of executive speeches and interviews. They started with the CEOs of the 100 largest companies by market capitalization, and included an additional 26 executives (e.g. OpenAI’s Sam Altman). An average of 2.25 hours of speech was analyzed per executive.

The researchers assessed several cognitive and communication traits, including verbal ability, abstract and conceptual thinking, creativity, memory and recall, and logical reasoning.

Using these criteria, they scored each CEO on how effectively and intelligently they express complex ideas. The study aimed to capture not just intellect, but the clarity and depth of thought behind each leader’s words.

RankNameCompanyScore
1Jensen HuangNVIDIA81.3
2Jim TaicletLockheed Martin80.9
3Demis HassabisDeepMind80.8
4Vincent RocheAnalog Devices80.6
5Matt MurphyMarvell Technology Group78.4
6Reed HastingsNetflix77.3
7Joseph DominguezConstellation Energy76.7
8Stephen SchwarzmanBlackstone Group76.4
9Robert FordAbbott Laboratories76.1
10Marc AndreessenAndreessen Horowitz75.5
11Patrick CollisonStripe75.4
12Sam AltmanOpenAI75.2
12Shantanu NarayenAdobe75.2
14Robert BradwayAmgen74.4
15Jamie DimonJPMorgan Chase74.3

Five Facts About Jensen Huang, CEO of Nvidia

Here are five interesting facts about Jensen Huang, the smartest CEO in America according to Preply.

  1. Immigrant Roots: Born in Taiwan and raised in Thailand, Huang moved to the U.S. at age 9 and attended a Kentucky reform school by mistake. He went on to earn degrees from Oregon State and Stanford.
  2. Startup at Denny’s: Nvidia was founded in 1993 during a breakfast meeting at a Denny’s in San Jose.
  3. Intense Work Ethic: Huang works 14-hour days, manages 60+ direct reports, and prefers fast-paced, transparent group meetings.
  4. Family in Tech: He’s related to Lisa Su, the CEO of AMD—making them rivals and relatives in the chip world.
  5. Education Philanthropy: Huang has donated millions to Stanford and Oregon State to fund engineering and AI research.

Learn More on the Voronoi App

If you want to learn more about Nvidia, check out this graphic breaking down its revenues by product segment.

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