GNI, Atlas method (current US$) - Country Ranking

Definition: GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.

Source: World Bank national accounts data, and OECD National Accounts data files.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 United States 18,357,300,000,000.00 2016
2 China 11,374,200,000,000.00 2016
3 Japan 4,816,890,000,000.00 2016
4 Germany 3,624,640,000,000.00 2016
5 United Kingdom 2,778,490,000,000.00 2016
6 France 2,590,030,000,000.00 2016
7 India 2,212,310,000,000.00 2016
8 Italy 1,923,100,000,000.00 2016
9 Brazil 1,835,990,000,000.00 2016
10 Canada 1,584,300,000,000.00 2016
11 Russia 1,425,700,000,000.00 2016
12 Korea 1,414,400,000,000.00 2016
13 Australia 1,313,020,000,000.00 2016
14 Spain 1,281,830,000,000.00 2016
15 Mexico 1,153,530,000,000.00 2016
16 Turkey 892,975,000,000.00 2016
17 Indonesia 888,958,000,000.00 2016
18 Netherlands 793,747,000,000.00 2016
19 Saudi Arabia 701,154,000,000.00 2016
20 Switzerland 680,145,000,000.00 2016
21 Sweden 540,634,000,000.00 2016
22 Argentina 524,974,000,000.00 2016
23 Poland 481,401,000,000.00 2016
24 Belgium 474,616,000,000.00 2016
25 Nigeria 455,988,000,000.00 2016
26 Iran 438,869,000,000.00 2016
27 Norway 431,411,000,000.00 2016
28 Austria 400,510,000,000.00 2016
29 Thailand 388,294,000,000.00 2016
30 United Arab Emirates 375,190,000,000.00 2016
31 Philippines 369,969,000,000.00 2016
32 Venezuela 356,607,000,000.00 2013
33 Denmark 326,603,000,000.00 2016
34 Egypt 326,256,000,000.00 2016
35 Hong Kong SAR, China 317,691,000,000.00 2016
36 Israel 309,784,000,000.00 2016
37 Malaysia 307,408,000,000.00 2016
38 Colombia 307,204,000,000.00 2016
39 South Africa 306,939,000,000.00 2016
40 Singapore 290,912,000,000.00 2016
41 Pakistan 289,101,000,000.00 2016
42 Finland 247,552,000,000.00 2016
43 Ireland 247,037,000,000.00 2016
44 Chile 242,506,000,000.00 2016
45 Bangladesh 216,291,000,000.00 2016
46 Portugal 205,256,000,000.00 2016
47 Greece 205,129,000,000.00 2016
48 Iraq 201,647,000,000.00 2016
49 Vietnam 194,829,000,000.00 2016
50 Peru 189,039,000,000.00 2016
51 Qatar 187,756,000,000.00 2015
52 Romania 186,762,000,000.00 2016
53 Czech Republic 185,267,000,000.00 2016
54 New Zealand 181,833,000,000.00 2016
55 Algeria 171,379,000,000.00 2016
56 Kazakhstan 156,812,000,000.00 2016
57 Kuwait 141,393,000,000.00 2016
58 Hungary 123,366,000,000.00 2016
59 Morocco 103,208,000,000.00 2016
60 Angola 99,404,130,000.00 2016
61 Ukraine 98,628,600,000.00 2016
62 Ecuador 95,089,220,000.00 2016
63 Slovak Republic 91,257,740,000.00 2016
64 Sudan 84,892,750,000.00 2016
65 Sri Lanka 80,109,980,000.00 2016
66 Oman 75,934,380,000.00 2015
67 Cuba 74,969,140,000.00 2013
68 Uzbekistan 70,840,640,000.00 2016
69 Puerto Rico 69,432,480,000.00 2013
70 Dominican Republic 68,030,370,000.00 2016
71 Ethiopia 67,515,420,000.00 2016
72 Kenya 66,885,890,000.00 2016
73 Myanmar 63,085,860,000.00 2016
74 Guatemala 62,845,810,000.00 2016
75 Bulgaria 54,056,750,000.00 2016
76 Belarus 53,188,400,000.00 2016
77 Costa Rica 52,643,880,000.00 2016
78 Uruguay 52,448,600,000.00 2016
79 Croatia 50,624,850,000.00 2016
80 Panama 48,989,230,000.00 2016
81 Tanzania 48,508,570,000.00 2016
82 Lebanon 47,958,900,000.00 2016
83 Azerbaijan 46,454,550,000.00 2016
84 Slovenia 44,636,780,000.00 2016
85 Lithuania 42,376,810,000.00 2016
86 Tunisia 42,118,870,000.00 2016
87 Luxembourg 41,667,360,000.00 2016
88 Ghana 38,863,880,000.00 2016
89 Macao SAR, China 38,808,850,000.00 2015
90 Turkmenistan 37,762,500,000.00 2016
91 Serbia 37,484,220,000.00 2016
92 Jordan 37,056,810,000.00 2016
93 Syrian Arab Republic 36,176,000,000.00 2007
94 Côte d'Ivoire 36,025,840,000.00 2016
95 Dem. Rep. Congo 33,773,820,000.00 2016
96 Bolivia 33,454,120,000.00 2016
97 Cameroon 32,823,300,000.00 2016
98 Bahrain 31,086,070,000.00 2015
99 Libya 29,324,440,000.00 2011
100 Yemen 28,774,100,000.00 2016
101 Latvia 28,557,780,000.00 2016
102 Paraguay 27,337,550,000.00 2016
103 Uganda 26,270,860,000.00 2016
104 El Salvador 24,849,370,000.00 2016
105 Estonia 23,368,230,000.00 2016
106 Zambia 22,586,390,000.00 2016
107 Trinidad and Tobago 22,168,670,000.00 2016
108 Papua New Guinea 21,636,890,000.00 2016
109 Nepal 21,019,530,000.00 2016
110 Cyprus 20,714,180,000.00 2016
111 Afghanistan 19,769,950,000.00 2016
112 Honduras 19,551,630,000.00 2016
113 Iceland 19,048,780,000.00 2016
114 Cambodia 17,941,750,000.00 2016
115 Bosnia and Herzegovina 17,367,330,000.00 2016
116 Botswana 15,184,510,000.00 2016
117 Senegal 14,648,720,000.00 2016
118 Lao PDR 14,544,950,000.00 2016
119 Zimbabwe 14,381,420,000.00 2016
120 Gabon 14,269,830,000.00 2016
121 Georgia 14,259,350,000.00 2016
122 Brunei 13,906,150,000.00 2016
123 Mali 13,833,190,000.00 2016
124 Mozambique 13,788,020,000.00 2016
125 Jamaica 13,349,530,000.00 2016
126 Nicaragua 12,933,040,000.00 2016
127 Mauritius 12,338,610,000.00 2016
128 Albania 12,009,980,000.00 2016
129 Namibia 11,514,550,000.00 2016
130 Burkina Faso 11,496,220,000.00 2016
131 Armenia 11,033,090,000.00 2016
132 Mongolia 10,873,590,000.00 2016
133 Malta 10,579,900,000.00 2016
134 Macedonia 10,374,070,000.00 2016
135 Chad 10,366,910,000.00 2016
136 The Bahamas 10,362,830,000.00 2016
137 Madagascar 9,883,771,000.00 2016
138 Tajikistan 9,661,732,000.00 2016
139 Benin 8,938,880,000.00 2016
140 Congo 8,770,007,000.00 2016
141 Equatorial Guinea 8,766,317,000.00 2016
142 Haiti 8,488,281,000.00 2016
143 Rwanda 8,392,529,000.00 2016
144 Guinea 8,315,220,000.00 2016
145 Niger 7,679,782,000.00 2016
146 Moldova 7,513,233,000.00 2016
147 Kyrgyz Republic 6,714,376,000.00 2016
148 Monaco 6,671,360,000.00 2008
149 Malawi 5,789,903,000.00 2016
150 Mauritania 4,845,287,000.00 2016
151 Montenegro 4,431,410,000.00 2016
152 Barbados 4,336,068,000.00 2016
153 Fiji 4,296,565,000.00 2016
154 Liechtenstein 4,159,695,000.00 2009
155 Togo 4,089,869,000.00 2016
156 Swaziland 3,975,336,000.00 2016
157 Suriname 3,902,913,000.00 2016
158 Sierra Leone 3,642,914,000.00 2016
159 Guyana 3,275,292,000.00 2016
160 New Caledonia 2,989,345,000.00 2000
161 Burundi 2,924,463,000.00 2016
162 Lesotho 2,797,077,000.00 2016
163 Timor-Leste 2,610,847,000.00 2016
164 Eritrea 2,313,034,000.00 2011
165 Bhutan 2,000,474,000.00 2016
166 Greenland 1,937,820,000.00 2007
167 Central African Republic 1,722,909,000.00 2016
168 Liberia 1,720,256,000.00 2016
169 Cabo Verde 1,604,474,000.00 2016
170 Belize 1,598,992,000.00 2016
171 St. Lucia 1,495,764,000.00 2016
172 Seychelles 1,459,398,000.00 2016
173 Antigua and Barbuda 1,369,441,000.00 2016
174 Solomon Islands 1,128,460,000.00 2016
175 Guinea-Bissau 1,084,806,000.00 2016
176 Grenada 976,983,700.00 2016
177 The Gambia 881,023,400.00 2016
178 St. Kitts and Nevis 860,090,600.00 2016
179 Vanuatu 819,454,100.00 2014
180 Samoa 803,834,100.00 2016
181 Djibouti 803,064,800.00 2005
182 St. Vincent and the Grenadines 742,788,500.00 2016
183 Comoros 612,409,100.00 2016
184 Dominica 523,202,400.00 2016
185 Tonga 434,923,700.00 2016
186 São Tomé and Principe 342,845,700.00 2016
187 Palau 265,059,100.00 2016
188 Kiribati 259,841,000.00 2016
189 Nauru 140,234,400.00 2016
190 Tuvalu 56,522,900.00 2016

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Development Relevance: Because development encompasses many factors - economic, environmental, cultural, educational, and institutional - no single measure gives a complete picture. However, the total earnings of the residents of an economy, measured by its gross national income (GNI), is a good measure of its capacity to provide for the well-being of its people.

Statistical Concept and Methodology: In calculating GNI and GNI per capita in U.S. dollars for certain operational purposes, the World Bank uses the Atlas conversion factor. The purpose of the Atlas conversion factor is to reduce the impact of exchange rate fluctuations in the cross-country comparison of national incomes. The Atlas conversion factor for any year is the average of a country's exchange rate (or alternative conversion factor) for that year and its exchange rates for the two preceding years, adjusted for the difference between the rate of inflation in the country and that in Japan, the United Kingdom, the United States, and the Euro area. A country's inflation rate is measured by the change in its GDP deflator. The inflation rate for Japan, the United Kingdom, the United States, and the Euro area, representing international inflation, is measured by the change in the SDR deflator. (Special drawing rights, or SDRs, are the International Monetary Fund's unit of account.) The SDR deflator is calculated as a weighted average of these countries' GDP deflators in SDR terms, the weights being the amount of each country's currency in one SDR unit. Weights vary over time because both the composition of the SDR and the relative exchange rates for each currency change. The SDR deflator is calculated in SDR terms first and then converted to U.S. dollars using the SDR to dollar Atlas conversion factor. The Atlas conversion factor is then applied to a country's GNI. The resulting GNI in U.S. dollars is divided by the midyear population to derive GNI per capita. The World Bank systematically assesses the appropriateness of official exchange rates as conversion factors. An alternative conversion factor is used in the Atlas formula when the official exchange rate is judged to diverge by an exceptionally large margin from the rate effectively applied to domestic transactions of foreign currencies and traded products. This applies to only a small number of countries, as shown in the country-level metadata. Alternative conversion factors are used in the Atlas methodology and elsewhere in World Development Indicators as single-year conversion factors.

Aggregation method: Gap-filled total

Periodicity: Annual