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Real GDP | GDP Nominal vs GDP PPP

Investment Perspective

GDP-Measuring- Methodologies
Real GDP vs Nominal GDP || Understanding, Comparing, and Balancing the Relative Strengths of Global Economies.

In evaluating and analyzing global investment opportunities and, also in the business decision making process we need to have some fundamental data and facts available to us. Most important of these facts and data are the actual comparative state of the economies and GDPs of various countries and regions in the world.

We need to know how fast the individual economies are growing relative to other economies? For example; is China’s GDP larger than that of the US GDP? And, what is the real rate of growth of their respective economies?

On the surface it seems quite simple; just look at the official release of data on the respective economies and GDP? But thera is one major obvious problem – beside many other underlying and ‘not-so-obvious’ issues, in understanding and decoding the real relative state of various economies is the matter of currency conversion rates.

When it comes to comparing the national economies of different countries by their Nominal GDP, converting its value into a common currency—typically the US dollar, presents a very ’unrealistic’ picture, since all other currencies in the world relate to the US dollar—and, the US dollar itself is not measured in any tangible manner.

Further, currency conversions rates – or the market rates as they are commonly described, are ‘fixed’ to gain an edge in global commerce. And, in case of the US Dollar—which is the dominant global trade settlement currency, and also the dominant global reserve currency, its value is just the matter of perception!

What is the real value of US dollar?
The real value of US dollar is a question mark ‘?’

Therefore, in reality, when we look at the GDP of ‘non-US Dollar’ economies, we are looking at—somewhat, a manipulated and distorted image of the real GDP.

The problem is that a distorted view of the global relative economies and GDP is not very conducive in the decision making process—especially when the large sums of capital investment or business prospects are involved.

It is therefore pertinent that businesses have in place a mechanism to filter out the distortions and be able to see and understand the real state of the GDPs of the target economies, their various components and the inclusions and exclusions etc.

Nominal vs Purchasing Power Parity Methods

By definition, GDP is the total market value of all final goods and services produced in an economy in a given period – normally, a year. Value of GDP is given in an economy’s own currency. To compare the GDP of various countries, the value their GDP is converted into a common currency—typically the US dollar.

There are two methods to convert GDP into a common currency: Nominal and Purchasing Power Parity (PPP).

Nominal GDP computation method translates a non-US$ country’s economy in terms of the current conversion rate of that country’s currency. PPP GDP, on the other hand, uses the method that is based on the real value of a country’s production.

The following description taken from the IMF will help elaborate the effect of Nominal GDP vs GDP:

GDP is measured in the currency of the country in question. That requires adjustment when trying to compare the value of output in two countries using different currencies. The usual method is to convert the value of GDP of each country into U.S. dollars and then compare them. Conversion to dollars can be done either using market exchange rates—those that prevail in the foreign exchange market—or purchasing power parity (PPP) exchange rates.

The PPP exchange rate is the rate at which the currency of one country would have to be converted into that of another to purchase the same amount of goods and services in each country

Non-US dollar currencies are converterd into US dollar at a rate prevalent at the Forex Exchanges.
Global currencies are converted at the prevalent market rate set at the Forex Exchanges.
GDP Purchasing Power Parity (GDP PPP) is gross domestic product converted to international dollars using purchasing power parity rates. The Purchasing-power-parity (PPP) exchange rate (or conversion rate) between two countries is the rate at which the currency of one country needs to be converted into that of a second country to ensure that a given amount of the first country’s currency will purchase the same volume of goods and services in the second country as it does in the first.    [Source: IMF]

Nominal GDP, as we can see, presents quite a ’muddy’ comparative picture of the countries’ economies. For example: If we compare the GDP on a Purchasing Power Parity (PPP) basis, Chinese Economy is bigger than the US economy.

China GDP PPP surpassed that of the US during 2014. China GDP PPP had reached $18.3 Trillion in 2014, whereas US GDP PPP was $17.5 Trillion at that time. China’s GDP (for the year 2018) in terms of Purchasing Power Parity was US$27,449 Trillion against the US’ 21,482 Trillion!

Further, with China Riding high on the fast tracks of the Belt and Road Initiative & Made in China 2025 projects, the gap between the GDPs of the US and China is expected to increase at a faster pace. But, the real picture of the two economies will not be visible by looking at the nominal GDPs of the two.

Per the IMF forecasts, China’s GDP PPP will reach $37.2 Trillion in comparison to US’ $24.7 Trillion by 2023.

The point that should also be noted is that beside just looking at the GDP, there are other factors to be considered in making investment/business decisions like, the state of a target economy’s infrastructure and politico-social environment. But, that is a separate topic in itself and is covered separately.

The study of various computing methodologies—and their impact on the declared nominal GDPs, is an interesting subject worth delving into. It is covered separately under its own topic: ‘GDP—Computing Methodologies’.


The tables below present the GDP of Top 50 Economies of the World—Calculated separately under the Nominal GDP method and PPP GDP method. Together, these tables serve to highlight the contrast in the economic outlook of economies under these two methodologies.


Top 50 Economies By GDP Nominal

[Data are in Billions of US Dollars]

RankCountry/Economy2019% ShareDiff.2023
1United States21,482.4124.4– –24,671
2China14,172.2016.17,31019,581
3Japan5,220.575.938,9525,908
4Germany4,117.074.671,1044,937
5India2,957.723.361,1594,330
6France2,844.703.231133,364
7UK2,809.913.1934.83,257
8Italy2,112.802.406972,396
9Brazil1,929.712.191832,351
10Canada1,820.362.071092,322
11S. Korea1,699.681.931212,055
12Russia1,649.211.8750.51,818
13Spain1,474.121.671751,758
14Australia1,464.411.669.711,794
15Mexico1,242.391.412221,527
16Indonesia1,066.841.211761,446
17Netherlands933.181.061341,107
18Saudi Arabia795.580.903138889.5
19Switzerland731.140.83064.4873.6
20Turkey631.160.717100.0958.3
21Taiwan (China)626.720.7124.44774.0
22Poland581.290.66045.4787.7
23Sweden563.240.63918.1669.1
24Belgium545.190.61918.1637.9
25Thailand524.250.59520.9652.2
26Austria469.660.53354.6559.3
27UAE455.590.51714.1533.6
28Norway448.460.5097.12503.5
29Nigeria447.010.5081.45736.5
30Argentina408.030.46339.0540.7
31South Africa385.530.43822.5456.4
32Hong Kong-SAR380.860.4324.67479.2
33Ireland379.800.4311.06469.9
34Israel376.130.4273.67468.7
35Malaysia372.630.4233.50498.5
36Denmark362.150.41110.5438.1
37Singapore359.620.4082.53434.9
38Colombia355.160.4034.46422.6
39Philippines354.310.4020.85510.9
40Iran333.600.37920.7382.4
41Bangladesh313.510.35620.1445.6
42Chile305.560.3477.95377.7
43Pakistan298.310.3397.25407.3
44Egypt298.150.3380.15414.8
45Finland282.010.32016.1331.1
46Vietnam266.240.30215.8376.2
47Czech Republic264.500.3001.74342.9
48Iraq250.070.28414.4299.0
49Romania248.840.2831.23334.4
50Portugal242.830.2766.01283.8
RankWorld201988,081Diff.108,712

Top 50 Economies By GDP Purchasing Power Parity

[Data are in Billions of US Dollars]

RankCountry/Economy2019% ShareDiff.2023
1China27,449.0519.2– –37,198
2United States21,482.4115.05,96724,671
3India11,412.977.9810,06916,575
4Japan5,806.724.065,6066,380
5Germany4,555.473.181,2515,184
6Russia4,345.363.042104,966
7Indonesia3,753.202.625924,969
8Brazil3,524.062.462294,149
9UK3,144.552.203803,609
10France3,081.002.1563.63,541
11Mexico2,696.451.883853,256
12Italy2,474.391.732222,748
13Turkey2,372.531.661022,808
14Korea2,241.561.571312,690
15Spain1,949.681.362922,249
16Saudi Arabia1,942.561.367.122,277
17Canada1,930.681.3511.92,227
18Iran1,627.141.143041,885
19Thailand1,403.550.9812241,741
20Egypt1,396.980.9766.571,897
21Australia1,383.930.96713.11,654
22Taiwan (China)1,306.750.91377.21,525
23Poland1,270.560.88836.21,532
24Nigeria1,221.050.85349.51,452
25Pakistan1,219.720.8521.331,493
26Malaysia1,068.110.7461521,390
27Philippines1,041.130.72827.01,458
28Netherlands1,018.970.71222.21,191
29Argentina922.950.64596.01,109
30Bangladesh829.270.58093.71,172
31South Africa819.090.57210.2948.1
32Colombia792.000.55327.1983.8
33UAE775.880.54216.1947.2
34Vietnam769.670.5386.211,067
35Iraq733.930.51335.7878.6
36Algeria693.110.48440.8778.9
37Singapore582.550.407111698.4
38Switzerland573.360.4019.19660.1
39Belgium570.100.3983.26651.9
40Sweden566.770.3963.33660.5
41Romania543.170.38023.6663.5
42Kazakhstan534.670.3748.50663.8
43Hong Kong-SAR508.830.35625.8618.6
44Chile507.940.3550.89617.2
45Peru487.420.34120.5615.6
46Austria484.070.3383.35553.2
47Czech Republic417.210.29266.9496.9
48Norway415.130.2902.07481.3
49Ukraine410.810.2874.32502.9
50Ireland402.080.2818.73487.7
RankWorld143,089% ShareDiff.177,424

[Source of Data: International Monetary Fund (IMF)]

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