World Economy: Top Countries by GDP

Gross domestic product (GDP) is the market value of all final goods and services from a nation in a given year. GDP can be computed on a nominal basis or a real basis, the latter accounting for inflation.

Nominal GDP does not take into account differences in the cost of living in different countries, and the results can vary greatly from one year to another based on fluctuations in the exchange rates of the country’s currency.

So Comparisons of national wealth are also frequently made on the basis of purchasing power parity (PPP), to adjust for differences in the cost of living in different countries.

According to the International Monetary Fund Estimates, In the year 2023, the United States of America is the Top Country by GDP nominal, and China is the top country by GDP (PPP).

List of countries by GDP (nominal)

The United States has the highest GDP (Current Prices) among World Countries. According to the IMF, the United States’ estimated nominal GDP in 2025 will be $30,615 billion. Next comes China ($19,398 Bn), followed by Germany ($5,013 Bn), Japan ($4,279 Bn), and India ($4125Bn)

Let’s have a look at the Top 100 Countries by GDP (nominal) in USD.

#CountryGDP nominal 2025 ($ US)
1 United States30,615,743
2 China19,398,577
3 Germany5,013,574
4 Japan4,279,828
5 India4,125,213
6 United Kingdom3,958,780
7 France3,361,557
8 Italy2,543,677
9 Russia2,540,656
10 Canada2,283,599
11 Brazil2,256,910
12 Spain1,891,371
13 Mexico1,862,740
14 South Korea1,858,572
15 Australia1,829,508
16 Turkey1,565,471
17 Indonesia1,443,256
18 Netherlands1,320,635
19 Saudi Arabia1,268,535
20 Poland1,039,619
21 Switzerland1,002,666
22 Taiwan[n 3]884,387
23 Belgium716,980
24 Ireland708,771
25 Argentina683,371
26 Sweden662,318
27 Israel610,752
28 Singapore574,185
29 United Arab Emirates569,097
30 Austria566,456
31 Thailand558,573
32 Norway517,102
33 Philippines494,158
34 Vietnam484,726
35 Bangladesh475,011
36 Malaysia470,572
37 Denmark459,612
38 Colombia438,121
39 Hong Kong[n 4]428,233
40 South Africa426,383
41 Romania422,508
42 Pakistan410,495
43 Czech Republic383,384
44 Iran356,513
45 Egypt349,264
46 Chile347,174
47 Portugal337,936
48 Peru318,480
49 Finland314,724
50 Kazakhstan300,052
51 Algeria288,013
52 Nigeria285,003
53 Greece282,019
54 Iraq265,455
55 New Zealand262,909
56 Hungary247,759
57 Qatar222,119
58 Ukraine[n 5]209,713
59 Cuba—
60 Morocco179,612
61 Kuwait157,469
62 Slovakia154,587
63 Uzbekistan137,480
64 Kenya136,014
65 Ecuador130,529
66 Dominican Republic129,748
67 Bulgaria127,924
68 Puerto Rico126,546
69 Guatemala120,850
70 Angola115,167
71 Ghana111,963
72 Ethiopia109,492
73 Oman105,190
74 Croatia103,901
75 Costa Rica102,637
76 Luxembourg100,642
77 Serbia100,048
78 Ivory Coast99,207
79 Sri Lanka98,964 (2024)
80 Lithuania95,274
81 Panama90,408
82 Tanzania[n 6]87,444
83 Belarus85,739
84 Uruguay84,986
85 Venezuela82,767
86 DR Congo82,262
87 Slovenia79,221
88 Azerbaijan76,390
89 Turkmenistan72,119
90 Uganda64,993
91 Cameroon60,577
92 Myanmar60,561
93 Tunisia59,069
94 Bolivia57,086
95 Jordan56,157
96 Zimbabwe53,310
97 Macau[n 7]52,379
98 Cambodia48,802
99 Libya47,941
100 Latvia47,880

*estimates for Afghanistan, Lebanon, Pakistan, Syria, Tunisia, and  Ukraine are not available.

Source: International Monetary Fund, World Economic Outlook Database

List of countries by GDP (PPP)

China has the highest GDP (PPP) among World Countries. As per the IMF, the estimated GDP (PPP) of China in 2025 will be $41,015 billion. Next comes the US ($30,615 Bn), followed by India($17,714 Bn), Russia ($7,143 Bn), and Japan ($6,758 Bn)

Let’s have a look at the Top 100 Countries by GDP (PPP) at current prices in USD.

#Country GDP PPP 2025 ($)
1 China41,015,824
2 United States30,615,743
3 India17,714,180
4 Russia7,143,093
5 Japan6,758,231
6 Germany6,153,741
7 Indonesia5,015,762
8 Brazil4,973,385
9 France4,533,633
10 United Kingdom4,454,716
11 Turkey3,766,766
12 Italy3,720,271
13 Mexico3,436,930
14 South Korea3,363,419
15 Spain2,828,510
16 Canada2,722,795
17 Saudi Arabia2,688,520
18 Egypt2,381,507
19 Poland2,019,780
20 Taiwan1,990,268
21 Australia1,981,672
22 Iran1,878,892
23 Thailand1,853,771
24 Vietnam1,807,050
25 Bangladesh1,782,105
26 Pakistan1,671,381
27 Nigeria1,584,958
28 Netherlands1,516,663
29 Argentina1,490,164
30 Malaysia1,478,139
31 Philippines1,477,711
32 Colombia1,189,465
33 South Africa1,026,500
34 Singapore952,644
35 Romania926,759
36 United Arab Emirates905,227
37 Kazakhstan904,496
38 Belgium899,114
39 Switzerland881,083
40 Algeria875,334
41 Sweden799,680
42 Ireland736,732
43 Chile710,195
44 Iraq690,902
45 Ukraine[n 3]690,059
46 Austria682,861
47 Czech Republic647,322
48 Peru643,052
49 Norway606,590
50 Hong Kong589,806
51 Israel569,985
52 Portugal536,096
53 Denmark533,752
54 Ethiopia484,408
55 Uzbekistan469,844
56 Greece467,590
57 Hungary464,419
58 Morocco[n 4]424,871
59 Angola402,155
60 Kenya401,968
61 Qatar378,083
62 Finland373,156
63 Sri Lanka342,604
64 Dominican Republic336,082
65 Myanmar[n 5]326,894
66 Belarus311,791
67 Ecuador300,122
68 New Zealand298,934
69 Ghana295,118
70 Tanzania293,592
71 Guatemala282,833
72 Azerbaijan272,100
73 Ivory Coast266,832
74 Bulgaria264,699
75 Kuwait260,503
76 Slovakia257,020
77 Oman231,160
78 Venezuela223,984
79 Serbia216,221
80 DR Congo200,760
81 Panama200,150
82 Croatia198,268
83 Uganda187,109
84 Turkmenistan186,106
85 Tunisia183,725
86 Nepal180,640
87 Cameroon172,974
88 Costa Rica169,034
89 Lithuania165,442
90 Puerto Rico161,137
91 Cambodia150,047
92 Bolivia144,098
93 Paraguay136,442
94 Syria136,379
95 Jordan131,677
96 Uruguay130,209
97 Libya123,987
98 Slovenia123,453
99 Sudan117,773
100 Georgia[n 6]113,583

Source: International Monetary Fund, World Economic Outlook Database

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Rajeev Rana

Rajeev Rana is an independent writer and researcher with a strong interest in history, population studies, and demographic trends in India and North America. He has been writing on demography-related topics for over five years, focusing on census data, migration patterns, ethnicity, and regional population changes. While not a formally certified demographer, Rajeev closely follows official data releases from government sources, census authorities, and reputable research institutions. His work aims to present complex demographic information in a clear, accessible, and neutral manner for readers seeking factual insights and broader context. Rajeev contributes to multiple informational websites and has particular familiarity with demographic and regional trends in the Delhi NCR region. His writing is driven by curiosity, data interpretation, and a commitment to accuracy rather than advocacy or opinion