World GDP and Population data

[Combustion in the RainForest] [World Energy Projections]
[World Economy] [Global 500] [Bookstore]

En partenariat avec amazon.fr


The following tabulations compile the basic 1995 world economic information in terms of total GDP per country, population, per capita income and ratio of country per capita income/average world per capita income. Note: GDP data is expressed in 1987 equivalent US$.

This information allows to appreciate the world economic maldistribution in its full dramatic perspective. To summarize, we may extract the following facts:

1. The G7 countries account for 67% of the world GDP.

2. A group of 9 nations representing the highest per capita income account for 60% of the total world GDP. Extending this to 43 rich nations accounting for 20% of world population, they represent 84% of world GDP; 57 nations with 30% of world population account for 90% of world GDP. This amounts to saying that the poor 70% of world population receives only 10% of the total world income!

3. The gap between the richest and poorest is represented by the rich Switzerland with a per capita income of $ 26,716 (7.56 times the weighted world average) and the poor Mozambique with and income of $ 95 (0.027 times the world average). The ratio between these extremes is 275 times.

4. Even worse than the actual magnitude of the world economy maldistribution, is the continued tendency of the world economy to concentrate the wealth, thus to increase more the maldistribution. The combined condition of very high and ever increasing maldistribution is a clear indicator of the non sustainability of the actual world economic order. 

5. The weighted Maldistribution index of the world nations income is 185.6%, the average world Gini index is 0.682, assuming that in each country there is a perfect internal income distribution; the economic Quality index of this Maldistribution level is 22.5%.

6. However, if we consider that income is maldistributed within each country, say that 30% of rich population takes the 70% of GDP and the balance 70% not rich population receives an income of 30% GDP, situation that would correspond to an internal Gini index of 0.4, then the real World income Maldistribution index reaches 261%, the overall population economic Quality index is only 12.8%, and the corrected overall Gini index becomes 0.767.

7. This means that with the same available world GDP evenly distributed the overall economic performance could be almost 8 times better. The potential supply of so many -today deficient- useful services (education, culture, science, sustainable technology development, sponsorship for arts, human health care, environment care and protection, etc.) would find an 8 fold increase in world consumers' capacity to pay for them. This additional  'production' and 'consumption' would practically eliminate national and international 'unemployment'. This canalisation of 'human employment' for useful purposes would also resolve radically the environmental crisis, as the 'new production' would create more culture, more knowledge, more art, more science and technology, etc., instead of more material glutonery, more weapons, more obsolete automobiles and more propaganda.  

However, such posibilities are blocked by minority interests. Ferdinand Lundberg (The Rich and the Super-Rich) has summarized the situation as follows: "If inequality of income is not the main question, what is? First, the present concentration of wealth confers self-arrogated and defaulted political policy-making power at home and abroad in a grossly disproporcionate degree on a small and not especially qualified mainly hereditary group; secondly, this group allocates vast economic resources in narrow, self-serving directions, both at home and abroad, rather than in socially and humanly needed public direction."

Lets hope that economists and world leaders understand these basic facts to correct the economic model in quality and in time before a cathastropic international collapse occurs. It is probable that the economic collapse may arrive even before than the also foreseeable ecological collapse caused by the present blind growth economic system.

Further useful links and data sources:
International Energy Annual 1999: Population and GDP
World Population 1990-1999
World GDP 1990-1999
Paul Hensel's International Economic Data Page
Worldbank Development Indicators
Wikipedia 2013 World GDP per capita Listing
2013 World GDP WorldBank Listing


     

    World Population by Continents 1995


    Total F East&Oceania       3,195.29     55.82 %
    Total Africa                 745.60     13.02 %
    Total W Europe               471.48      8.24 %
    Total E Europe               392.84      6.86 %
    Total North America          388.02      6.78 %
    Total C&S America            382.62      6.68 %
    Total Middle East            148.56      2.60 %

    Total World                5,724.41


GDP and Population by countries 1995 (in 1987 US$) GDP95 %world POPULN %world Income Ratio Million $ Million capita GDP/POP 1 United States 5,452,500 27.77 263.43 4.74 20,698 5.855 2 Japan 3,007,183 15.32 125.20 2.25 24,019 6.794 3 Germany 1,500,645 7.64 81.64 1.47 18,381 5.199 4 France 1,041,766 5.31 58.15 1.05 17,915 5.068 5 Italy 884,506 4.51 58.30 1.05 15,172 4.292 6 United Kingdom 786,052 4.00 58.26 1.05 13,492 3.816 7 China 532,915 2.71 1,211.68 21.82 440 0.124 8 Canada 477,338 2.43 29.61 0.53 16,121 4.560 9 India 378,600 1.93 935.74 16.85 405 0.114 10 Spain 357,489 1.82 39.21 0.71 9,117 2.579 11 Brazil 332,616 1.69 155.82 2.81 2,135 0.604 12 Netherlands 265,482 1.35 15.45 0.28 17,183 4.861 13 Australia 261,363 1.33 18.05 0.33 14,480 4.096 14 Korea, South 252,132 1.28 44.85 0.81 5,622 1.590 15 Russia 246,882 1.26 148.14 2.67 1,667 0.471 16 Iran 190,341 0.97 61.28 1.10 3,106 0.879 17 Switzerland 188,082 0.96 7.04 0.13 26,716 7.557 18 Taiwan 174,106 0.89 21.30 0.38 8,172 2.312 19 Sweden 171,065 0.87 8.83 0.16 19,373 5.480 20 Belgium 166,940 0.85 10.11 0.18 16,512 4.671 21 Mexico 155,313 0.79 94.85 1.71 1,637 0.463 22 Austria 144,703 0.74 8.53 0.15 16,964 4.799 23 Indonesia 129,367 0.66 193.75 3.49 668 0.189 24 Argentina 129,107 0.66 34.77 0.63 3,713 1.050 25 Denmark 117,631 0.60 5.23 0.09 22,492 6.362 26 Turkey 116,506 0.59 61.64 1.11 1,890 0.535 27 Thailand 106,017 0.54 59.40 1.07 1,785 0.505 28 Norway 101,565 0.52 4.36 0.08 23,295 6.589 29 Saudi Arabia 96,701 0.49 17.88 0.32 5,408 1.530 30 Finland 92,833 0.47 5.11 0.09 18,167 5.139 31 South Africa 90,156 0.46 41.24 0.74 2,186 0.618 32 Algeria 69,633 0.35 28.55 0.51 2,439 0.690 33 Hong Kong 69,098 0.35 6.19 0.11 11,163 3.158 34 Poland 65,974 0.34 38.59 0.69 1,710 0.484 35 Vietnam 64,511 0.33 74.54 1.34 865 0.245 36 Malaysia 62,397 0.32 20.14 0.36 3,098 0.876 37 Israel 58,840 0.30 5.54 0.10 10,621 3.004 38 Venezuela 57,371 0.29 21.64 0.39 2,651 0.750 39 Greece 53,230 0.27 10.46 0.19 5,089 1.439 40 Ukraine 51,756 0.26 51.64 0.93 1,002 0.284 41 Portugal 51,401 0.26 10.80 0.19 4,759 1.346 42 Colombia 50,581 0.26 35.10 0.63 1,441 0.408 43 Ireland 50,362 0.26 3.58 0.06 14,068 3.979 44 Pakistan 49,589 0.25 129.81 2.34 382 0.108 45 Egypt 43,732 0.22 59.23 1.07 738 0.209 46 Philippines 43,129 0.22 70.27 1.27 614 0.174 47 New Zealand 41,240 0.21 3.54 0.06 11,650 3.295 48 Singapore 39,775 0.20 2.99 0.05 13,303 3.763 49 Nigeria 39,349 0.20 126.72 2.28 311 0.088 50 Chile 36,009 0.18 14.20 0.26 2,536 0.717 51 United Arab Emirates 32,794 0.17 1.93 0.03 16,992 4.806 52 Czech Republic 32,671 0.17 10.33 0.19 3,163 0.895 53 Puerto Rico 28,304 0.14 3.67 0.07 7,712 2.182 54 Peru 27,890 0.14 23.53 0.42 1,185 0.335 55 Rumania 27,881 0.14 22.68 0.41 1,229 0.348 56 Bangladesh 24,297 0.12 120.43 2.17 202 0.057 57 Libya 23,552 0.12 5.21 0.09 4,521 1.279 58 Morocco 23,001 0.12 27.11 0.49 848 0.240 59 Kuwait 22,400 0.11 1.69 0.03 13,254 3.749 60 Bulgaria 22,307 0.11 8.80 0.16 2,535 0.717 61 Hungary 22,235 0.11 10.22 0.18 2,176 0.615 62 Syria 17,592 0.09 14.19 0.26 1,240 0.351 63 Belarus 16,408 0.08 10.24 0.18 1,602 0.453 64 Slovakia 14,903 0.08 5.36 0.10 2,780 0.786 65 Iraq 14,475 0.07 20.45 0.37 708 0.200 66 Ecuador 14,207 0.07 11.46 0.21 1,240 0.351 67 Uzbekistan 13,793 0.07 22.84 0.41 604 0.171 68 Kazakstan 13,742 0.07 16.99 0.31 809 0.229 69 Burma 13,382 0.07 46.53 0.84 288 0.081 70 Tunisia 12,848 0.07 8.90 0.16 1,444 0.408 71 Oman 12,453 0.06 2.16 0.04 5,765 1.631 72 Sudan 10,360 0.05 29.10 0.52 356 0.101 73 Kenya 10,195 0.05 30.52 0.55 334 0.094 74 Cote d'Ivoire (Ivory Coa 10,028 0.05 14.23 0.26 705 0.199 75 Guatemala 9,715 0.05 10.62 0.19 915 0.259 76 Yemen 8,742 0.04 13.05 0.23 670 0.189 77 Cameroon 8,451 0.04 13.28 0.24 636 0.180 78 Uruguay 8,280 0.04 3.19 0.06 2,596 0.734 79 Uganda 7,969 0.04 21.30 0.38 374 0.106 80 Jordan 7,535 0.04 5.44 0.10 1,385 0.392 81 Ghana 7,191 0.04 17.45 0.31 412 0.117 82 Slovenia 6,913 0.04 1.98 0.04 3,492 0.988 83 Zaire 6,845 0.03 43.90 0.79 156 0.044 84 Dominican Republic 6,720 0.03 7.91 0.14 850 0.240 85 Zimbabwe 6,623 0.03 11.53 0.21 574 0.162 86 Costa Rica 6,419 0.03 3.33 0.06 1,928 0.545 87 Panama 6,334 0.03 2.63 0.05 2,408 0.681 88 El Salvador 6,113 0.03 5.77 0.10 1,059 0.300 89 Ethiopia 5,969 0.03 56.68 1.02 105 0.030 90 Bolivia 5,857 0.03 7.41 0.13 790 0.224 91 Honduras 5,231 0.03 5.95 0.11 879 0.249 92 Latvia 5,114 0.03 2.51 0.05 2,037 0.576 93 Senegal 5,091 0.03 8.35 0.15 610 0.172 94 Paraguay 5,057 0.03 4.83 0.09 1,047 0.296 95 Trinidad and Tobago 4,992 0.03 1.28 0.02 3,900 1.103 96 Gabon 4,732 0.02 1.32 0.02 3,585 1.014 97 Lithuania 4,597 0.02 3.71 0.07 1,239 0.350 98 Tanzania 4,527 0.02 30.34 0.55 149 0.042 99 Nepal 4,369 0.02 21.92 0.39 199 0.056 100 Estonia 3,766 0.02 1.53 0.03 2,461 0.696 101 Nicaragua 3,609 0.02 4.54 0.08 795 0.225 102 Jamaica 3,530 0.02 2.53 0.05 1,395 0.395 103 Moldova 3,064 0.02 4.49 0.08 682 0.193 104 Madagascar 2,787 0.01 14.76 0.27 189 0.053 105 Azerbaijan 2,644 0.01 7.50 0.14 353 0.100 106 Armenia 2,510 0.01 3.76 0.07 668 0.189 107 Congo 2,461 0.01 2.59 0.05 950 0.269 108 Niger 2,438 0.01 9.15 0.16 266 0.075 109 Guinea 2,379 0.01 6.70 0.12 355 0.100 110 Burkina 2,343 0.01 10.18 0.18 230 0.065 111 Botswana 2,327 0.01 1.46 0.03 1,594 0.451 112 Namibia 2,296 0.01 1.54 0.03 1,491 0.422 113 Kyrgyzstan 2,293 0.01 4.67 0.08 491 0.139 114 Rwanda 2,280 0.01 7.95 0.14 287 0.081 115 Mauritius 2,270 0.01 1.12 0.02 2,027 0.573 116 Georgia 2,247 0.01 5.46 0.10 412 0.116 117 Zambia 2,175 0.01 9.37 0.17 232 0.066 118 Mali 2,146 0.01 10.79 0.19 199 0.056 119 Laos 1,770 0.01 4.88 0.09 363 0.103 120 Benin 1,717 0.01 5.56 0.10 309 0.087 121 Mozambique 1,652 0.01 17.42 0.31 95 0.027 122 Haiti 1,594 0.01 7.18 0.13 222 0.063 123 Tajikistan 1,568 0.01 5.84 0.11 268 0.076 124 Albania 1,520 0.01 3.44 0.06 442 0.125 125 Malawi 1,390 0.01 9.79 0.18 142 0.040 126 Togo 1,370 0.01 4.14 0.07 331 0.094 127 Burundi 1,313 0.01 6.30 0.11 208 0.059 128 Central African Republic 1,091 0.01 3.31 0.06 330 0.093 129 Chad 1,077 0.01 6.36 0.11 169 0.048 130 Liberia 1,075 0.01 2.76 0.05 390 0.110 Total countries 19,633,684 100 5,554 100 3,535
Classification by per capita Income 1995 and cumulative world Income vs Population distribution Income Maldistributiuon 185.6 % Quality of World Economy 22.5 % GDP95 GDP POPULN POPULN Income Cumulative Million $ %world Million %world capita %INCOM %POP 1 Switzerland 188,082 0.96 7.04 0.13 26,716 0.96 0.13 2 Japan 3,007,183 15.32 125.20 2.25 24,019 16.27 2.38 3 Norway 101,565 0.52 4.36 0.08 23,295 16.79 2.46 4 Denmark 117,631 0.60 5.23 0.09 22,492 17.39 2.55 5 United States 5,452,500 27.77 263.43 4.74 20,698 45.16 7.30 6 Sweden 171,065 0.87 8.83 0.16 19,373 46.03 7.46 7 Germany 1,500,645 7.64 81.64 1.47 18,381 53.68 8.93 8 Finland 92,833 0.47 5.11 0.09 18,167 54.15 9.02 9 France 1,041,766 5.31 58.15 1.05 17,915 59.46 10.07 10 Netherlands 265,482 1.35 15.45 0.28 17,183 60.81 10.34 11 United Arab Emirates 32,794 0.17 1.93 0.03 16,992 60.97 10.38 12 Austria 144,703 0.74 8.53 0.15 16,964 61.71 10.53 13 Belgium 166,940 0.85 10.11 0.18 16,512 62.56 10.71 14 Canada 477,338 2.43 29.61 0.53 16,121 64.99 11.25 15 Italy 884,506 4.51 58.30 1.05 15,172 69.50 12.30 16 Australia 261,363 1.33 18.05 0.33 14,480 70.83 12.62 17 Ireland 50,362 0.26 3.58 0.06 14,068 71.09 12.69 18 United Kingdom 786,052 4.00 58.26 1.05 13,492 75.09 13.74 19 Singapore 39,775 0.20 2.99 0.05 13,303 75.29 13.79 20 Kuwait 22,400 0.11 1.69 0.03 13,254 75.41 13.82 21 New Zealand 41,240 0.21 3.54 0.06 11,650 75.62 13.88 22 Hong Kong 69,098 0.35 6.19 0.11 11,163 75.97 13.99 23 Israel 58,840 0.30 5.54 0.10 10,621 76.27 14.09 24 Spain 357,489 1.82 39.21 0.71 9,117 78.09 14.80 25 Taiwan 174,106 0.89 21.30 0.38 8,172 78.98 15.18 26 Puerto Rico 28,304 0.14 3.67 0.07 7,712 79.12 15.25 27 Oman 12,453 0.06 2.16 0.04 5,765 79.18 15.29 28 Korea, South 252,132 1.28 44.85 0.81 5,622 80.47 16.10 29 Saudi Arabia 96,701 0.49 17.88 0.32 5,408 80.96 16.42 30 Greece 53,230 0.27 10.46 0.19 5,089 81.23 16.61 31 Portugal 51,401 0.26 10.80 0.19 4,759 81.49 16.80 32 Libya 23,552 0.12 5.21 0.09 4,521 81.61 16.90 33 Trinidad and Tobago 4,992 0.03 1.28 0.02 3,900 81.64 16.92 34 Argentina 129,107 0.66 34.77 0.63 3,713 82.30 17.54 35 Gabon 4,732 0.02 1.32 0.02 3,585 82.32 17.57 36 Slovenia 6,913 0.04 1.98 0.04 3,492 82.35 17.60 37 Czech Republic 32,671 0.17 10.33 0.19 3,163 82.52 17.79 38 Iran 190,341 0.97 61.28 1.10 3,106 83.49 18.89 39 Malaysia 62,397 0.32 20.14 0.36 3,098 83.81 19.26 40 Slovakia 14,903 0.08 5.36 0.10 2,780 83.88 19.35 41 Venezuela 57,371 0.29 21.64 0.39 2,651 84.18 19.74 42 Uruguay 8,280 0.04 3.19 0.06 2,596 84.22 19.80 43 Chile 36,009 0.18 14.20 0.26 2,536 84.40 20.06 44 Bulgaria 22,307 0.11 8.80 0.16 2,535 84.52 20.21 45 Estonia 3,766 0.02 1.53 0.03 2,461 84.53 20.24 46 Algeria 69,633 0.35 28.55 0.51 2,439 84.89 20.76 47 Panama 6,334 0.03 2.63 0.05 2,408 84.92 20.80 48 South Africa 90,156 0.46 41.24 0.74 2,186 85.38 21.55 49 Hungary 22,235 0.11 10.22 0.18 2,176 85.49 21.73 50 Brazil 332,616 1.69 155.82 2.81 2,135 87.19 24.53 51 Latvia 5,114 0.03 2.51 0.05 2,037 87.21 24.58 52 Mauritius 2,270 0.01 1.12 0.02 2,027 87.23 24.60 53 Costa Rica 6,419 0.03 3.33 0.06 1,928 87.26 24.66 54 Turkey 116,506 0.59 61.64 1.11 1,890 87.85 25.77 55 Thailand 106,017 0.54 59.40 1.07 1,785 88.39 26.84 56 Poland 65,974 0.34 38.59 0.69 1,710 88.73 27.53 57 Russia 246,882 1.26 148.14 2.67 1,667 89.99 30.20 58 Mexico 155,313 0.79 94.85 1.71 1,637 90.78 31.91 59 Belarus 16,408 0.08 10.24 0.18 1,602 90.86 32.09 60 Botswana 2,327 0.01 1.46 0.03 1,594 90.87 32.12 61 Namibia 2,296 0.01 1.54 0.03 1,491 90.88 32.15 62 Tunisia 12,848 0.07 8.90 0.16 1,444 90.95 32.31 63 Colombia 50,581 0.26 35.10 0.63 1,441 91.21 32.94 64 Jamaica 3,530 0.02 2.53 0.05 1,395 91.22 32.99 65 Jordan 7,535 0.04 5.44 0.10 1,385 91.26 33.08 66 Syria 17,592 0.09 14.19 0.26 1,240 91.35 33.34 67 Ecuador 14,207 0.07 11.46 0.21 1,240 91.43 33.55 68 Lithuania 4,597 0.02 3.71 0.07 1,239 91.45 33.61 69 Rumania 27,881 0.14 22.68 0.41 1,229 91.59 34.02 70 Peru 27,890 0.14 23.53 0.42 1,185 91.73 34.44 71 El Salvador 6,113 0.03 5.77 0.10 1,059 91.76 34.55 72 Paraguay 5,057 0.03 4.83 0.09 1,047 91.79 34.64 73 Ukraine 51,756 0.26 51.64 0.93 1,002 92.05 35.57 74 Congo 2,461 0.01 2.59 0.05 950 92.07 35.61 75 Guatemala 9,715 0.05 10.62 0.19 915 92.12 35.80 76 Honduras 5,231 0.03 5.95 0.11 879 92.14 35.91 77 Vietnam 64,511 0.33 74.54 1.34 865 92.47 37.25 78 Dominican Republic 6,720 0.03 7.91 0.14 850 92.50 37.39 79 Morocco 23,001 0.12 27.11 0.49 848 92.62 37.88 80 Kazakstan 13,742 0.07 16.99 0.31 809 92.69 38.19 81 Nicaragua 3,609 0.02 4.54 0.08 795 92.71 38.27 82 Bolivia 5,857 0.03 7.41 0.13 790 92.74 38.40 83 Egypt 43,732 0.22 59.23 1.07 738 92.96 39.47 84 Iraq 14,475 0.07 20.45 0.37 708 93.04 39.84 85 Cote d'Ivoire (Ivory Coa 10,028 0.05 14.23 0.26 705 93.09 40.09 86 Moldova 3,064 0.02 4.49 0.08 682 93.10 40.18 87 Yemen 8,742 0.04 13.05 0.23 670 93.15 40.41 88 Indonesia 129,367 0.66 193.75 3.49 668 93.81 43.90 89 Armenia 2,510 0.01 3.76 0.07 668 93.82 43.97 90 Cameroon 8,451 0.04 13.28 0.24 636 93.86 44.21 91 Philippines 43,129 0.22 70.27 1.27 614 94.08 45.47 92 Senegal 5,091 0.03 8.35 0.15 610 94.11 45.62 93 Uzbekistan 13,793 0.07 22.84 0.41 604 94.18 46.03 94 Zimbabwe 6,623 0.03 11.53 0.21 574 94.21 46.24 95 Kyrgyzstan 2,293 0.01 4.67 0.08 491 94.22 46.32 96 Albania 1,520 0.01 3.44 0.06 442 94.23 46.39 97 China 532,915 2.71 1,211.68 21.82 440 96.95 68.20 98 Ghana 7,191 0.04 17.45 0.31 412 96.98 68.52 99 Georgia 2,247 0.01 5.46 0.10 412 96.99 68.62 100 India 378,600 1.93 935.74 16.85 405 98.92 85.47 101 Liberia 1,075 0.01 2.76 0.05 390 98.93 85.52 102 Pakistan 49,589 0.25 129.81 2.34 382 99.18 87.85 103 Uganda 7,969 0.04 21.30 0.38 374 99.22 88.24 104 Laos 1,770 0.01 4.88 0.09 363 99.23 88.32 105 Sudan 10,360 0.05 29.10 0.52 356 99.28 88.85 106 Guinea 2,379 0.01 6.70 0.12 355 99.29 88.97 107 Azerbaijan 2,644 0.01 7.50 0.14 353 99.31 89.10 108 Kenya 10,195 0.05 30.52 0.55 334 99.36 89.65 109 Togo 1,370 0.01 4.14 0.07 331 99.37 89.73 110 Central African Republic 1,091 0.01 3.31 0.06 330 99.37 89.79 111 Nigeria 39,349 0.20 126.72 2.28 311 99.57 92.07 112 Benin 1,717 0.01 5.56 0.10 309 99.58 92.17 113 Burma 13,382 0.07 46.53 0.84 288 99.65 93.01 114 Rwanda 2,280 0.01 7.95 0.14 287 99.66 93.15 115 Tajikistan 1,568 0.01 5.84 0.11 268 99.67 93.26 116 Niger 2,438 0.01 9.15 0.16 266 99.68 93.42 117 Zambia 2,175 0.01 9.37 0.17 232 99.69 93.59 118 Burkina 2,343 0.01 10.18 0.18 230 99.70 93.77 119 Haiti 1,594 0.01 7.18 0.13 222 99.71 93.90 120 Burundi 1,313 0.01 6.30 0.11 208 99.72 94.01 121 Bangladesh 24,297 0.12 120.43 2.17 202 99.84 96.18 122 Nepal 4,369 0.02 21.92 0.39 199 99.87 96.58 123 Mali 2,146 0.01 10.79 0.19 199 99.88 96.77 124 Madagascar 2,787 0.01 14.76 0.27 189 99.89 97.04 125 Chad 1,077 0.01 6.36 0.11 169 99.90 97.15 126 Zaire 6,845 0.03 43.90 0.79 156 99.93 97.94 127 Tanzania 4,527 0.02 30.34 0.55 149 99.95 98.49 128 Malawi 1,390 0.01 9.79 0.18 142 99.96 98.67 129 Ethiopia 5,969 0.03 56.68 1.02 105 99.99 99.69 130 Mozambique 1,652 0.01 17.42 0.31 95 100.00 100.00

World GDP by regions for 1990 1995 1999 in current US$ billion
US$ Billion (current)  . 1990   1995   1999 Variation%
WORLD GDP 22088.7 24520.8 27357.9 + 23.85
North America   6647.1   7443.4   8744.0 + 31.55
Central + South America     837.5   1011.4   1089.9 + 30.14
Western Europe   7204.0   7862.0   8621.7 + 19.68
Eastern Europe + FSU   1209.2     811.5     828.9 -  31.45
Middle East     814.3     986.2   1105.1 + 35.71
Africa     453.4     452.1     510.6 + 12.62
Far East + Oceania   4923.2   5924.2   6475.7 + 31.53

World Percapita GDP by regions for 1990-95-99 in current US$
 1990    1995  1999 Variation %
World Average   4,205   4,326   4,563 +   8.5
North America 18,470 19,461 21,832 + 18.2
Central + South America   2,362   2,621   2,656 + 12.4
Western Europe 15,779 16,824 18,134 + 14.9
Eastern Europe + FSU   3,103   2,071   2,115  -  31.8
Middle East   6,261   6,669   6,796 +   8.5
Africa     734     680     651 -  11.3  
Far East + Oceania   1,672   1,860   1,921 + 14.9

Return to Combustion in the RainForest




...............

Combusem Bookstores