Mapped: Distribution Of Global GDP By Region

(Click on image to enlarge)

Map of Global Wealth Distribution Full

Gross domestic product (GDP) measures the value of goods and services that an economy produces in a given year, but in a global context, it is typically shown using country-level data.

As a result, we don’t often get to see the nuances of the global economy, such as how much specific regions and metro areas contribute to global GDP.

In these cartograms, global GDP has been normalized to a base number of 1,000 in order to show a more regional breakdown of economic activity. Created by Reddit user /BerryBlue_Blueberry, the two maps show the distribution in different ways: by nominal GDP and by GDP adjusted for purchasing power parity (PPP).

Methodology

Before diving in, let us give you some context on how these maps were designed. Each hexagon on the two maps represents 0.1% of the world’s overall GDP.

The number below each region, country or metropolitan area represents the number of hexagons covered by that entity. So in the nominal GDP map, the state of New York represents 20 hexagons (i.e. 2.0% of global GDP), while Munich’s metro area is 3 hexagons (0.3%).

Countries are further broken down based on size. Countries that make up more than 0.95% of global GDP are broken down into subdivisions, while countries that are smaller than 0.1% of GDP are grouped together. Metro areas that account for over 0.25% of global GDP are featured.

Finally, it should be noted that to account for some outdated subdivision participation data, the map creator calculated 2021 estimates for this using the formula: national GDP (2021) x % of subdivision participation (2017-2020).

Nominal vs. PPP

The above map is using nominal data, while the below map accounts for differences in purchasing power (PPP).

(Click on image to enlarge)

Map of Global Wealth Distribution PPP Full

Adjusting for PPP takes into account the relative value of currencies and purchasing power in countries around the world. For example, $100 (or its exchange equivalent in Indian rupees) is generally going to be able to buy more in India than it is in the United States.

This is because goods and services are cheaper in India, meaning you can actually purchase more there for the same amount of money.

Anomalies in Global GDP Distribution

Breaking down global GDP distribution into cartograms highlights some interesting anomalies worth considering:

  1. North America, Europe, and East Asia, with a combined GDP of nearly $75 trillion, make up 80% of the world’s GDP in nominal terms.
  2. The U.S. State of California accounts for 3.7% of the world’s GDP by itself, which ranks higher than the United Kingdom’s total contribution of 3.3%.
  3. Canada as a country accounts for 2% of the world’s GDP, which is comparable to the GDP contribution of the Greater Tokyo Area at 2.2%.
  4. With a GDP of $3 trillion, India’s contribution overshadows the GDP of the whole African continent ($2.6 trillion).
  5. This visualization highlights the economic might of cities better than a conventional map. One standout example of this is in Ontario, Canada. The Greater Toronto Area completely eclipses the economy of the rest of the province.

Inequality of GDP Distribution

The fact that certain countries generate most of the world’s economic output is reflected in the above cartograms, which resize countries or regions accordingly.

Compared to wealthier nations, emerging economies still account for just a tiny sliver of the pie.

India, for example, accounts for 3.2% of global GDP in nominal terms, even though it contains 17.8% of the world’s population.

That’s why on the nominal map, India is about the same size as France, the United Kingdom, or Japan’s two largest metro areas (Tokyo and Osaka-Kobe)—but of course, these wealthier places have a far higher GDP per capita.

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