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Athens 2004 Medal Distribution
The other day I was looking at the medals table for the 2004 Olympic Games. Countries like China tend to do very well at the Olympics and it struck me that this is mainly on account of their large population. So I decided to do my own medals table, factoring in population.
Countries that won a total of less than five medals are not included because they introduce too much randomness. All medals weighted equally.
| Country | Gold | Silver | Bronze | Total | Population (July 2002) |
Medals per Million |
|---|---|---|---|---|---|---|
| * I couldn't find the 2002 population, so used 2004. | ||||||
| Australia | 17 | 16 | 16 | 49 | 19,546,792 | 2.51 |
| Cuba | 9 | 7 | 11 | 27 | 11,224,321 | 2.41 |
| Jamaica | 2 | 1 | 2 | 5 | 2,680,029 | 1.87 |
| Hungary | 8 | 6 | 3 | 17 | 10,075,034 | 1.69 |
| Bulgaria | 2 | 1 | 9 | 12 | 7,621,337 | 1.57 |
| Greece | 6 | 6 | 4 | 16 | 10,645,343 | 1.50 |
| Denmark | 2 | 0 | 6 | 8 | 5,368,854 | 1.49 |
| Belarus | 2 | 6 | 7 | 15 | 10,335,382 | 1.45 |
| Netherlands * | 4 | 9 | 9 | 22 | 16,318,199 | 1.35 |
| Norway | 5 | 0 | 1 | 6 | 4,525,116 | 1.33 |
| New Zealand | 3 | 2 | 0 | 5 | 3,908,037 | 1.28 |
| Croatia | 1 | 2 | 2 | 5 | 4,390,751 | 1.14 |
| Slovakia | 2 | 2 | 2 | 6 | 5,422,366 | 1.11 |
| Austria | 2 | 4 | 1 | 7 | 8,169,929 | 0.86 |
| Romania | 8 | 5 | 6 | 19 | 22,317,730 | 0.85 |
| Sweden | 4 | 1 | 2 | 7 | 8,876,744 | 0.79 |
| Czech Republic | 1 | 3 | 4 | 8 | 10,256,760 | 0.78 |
| Switzerland | 1 | 1 | 3 | 5 | 7,301,994 | 0.68 |
| Azerbaijan | 1 | 0 | 4 | 5 | 7,798,497 | 0.64 |
| Russia | 27 | 27 | 38 | 92 | 144,978,573 | 0.63 |
| South Korea | 9 | 12 | 9 | 30 | 48,324,000 | 0.62 |
| Germany | 14 | 16 | 18 | 48 | 83,251,851 | 0.58 |
| Italy | 10 | 11 | 11 | 32 | 57,715,625 | 0.55 |
| France | 11 | 9 | 13 | 33 | 59,765,983 | 0.55 |
| Great Britain | 9 | 9 | 12 | 30 | 59,778,002 | 0.50 |
| Kazakhstan | 1 | 4 | 3 | 8 | 16,741,519 | 0.48 |
| Ukraine | 9 | 5 | 9 | 23 | 48,396,470 | 0.48 |
| Spain | 3 | 11 | 5 | 19 | 40,077,100 | 0.47 |
| Canada | 3 | 6 | 3 | 12 | 31,902,268 | 0.38 |
| United States | 35 | 39 | 29 | 103 | 280,562,489 | 0.37 |
| Japan | 16 | 9 | 12 | 37 | 126,974,628 | 0.29 |
| Poland | 3 | 2 | 5 | 10 | 38,625,478 | 0.26 |
| North Korea | 0 | 4 | 1 | 5 | 22,224,195 | 0.22 |
| Kenya | 1 | 4 | 2 | 7 | 31,138,735 | 0.22 |
| Taiwan | 2 | 2 | 1 | 5 | 22,548,009 | 0.22 |
| Uzbekistan | 2 | 1 | 2 | 5 | 25,563,441 | 0.20 |
| Argentina | 2 | 0 | 4 | 6 | 37,812,817 | 0.16 |
| Turkey | 3 | 3 | 4 | 10 | 67,308,928 | 0.15 |
| South Africa | 1 | 3 | 2 | 6 | 43,647,658 | 0.14 |
| Thailand | 3 | 1 | 4 | 8 | 62,354,402 | 0.13 |
| Ethiopia | 2 | 3 | 2 | 7 | 67,673,031 | 0.10 |
| Iran | 2 | 2 | 2 | 6 | 66,622,704 | 0.09 |
| Egypt | 1 | 1 | 3 | 5 | 70,712,345 | 0.07 |
| Brazil | 4 | 3 | 3 | 10 | 176,029,560 | 0.06 |
| China | 32 | 17 | 14 | 63 | 1,284,303,705 | 0.05 |
Update: The above table rates gold, silver and bronze medals equally. I decided to put together another table awarding 1 point for bronze medals, 2 for silver and 4 for gold. Results below.
| Country | Gold | Silver | Bronze | Total | Population (July 2002) |
Weighted Medals |
|---|---|---|---|---|---|---|
| * I couldn't find the 2002 population, so used 2004. | ||||||
| Australia | 17 | 16 | 16 | 49 | 19,546,792 | 5.93 |
| Cuba | 9 | 7 | 11 | 27 | 11,224,321 | 5.43 |
| Hungary | 8 | 6 | 3 | 17 | 10,075,034 | 4.66 |
| Norway | 5 | 0 | 1 | 6 | 4,525,116 | 4.64 |
| Jamaica | 2 | 1 | 2 | 5 | 2,680,029 | 4.48 |
| New Zealand | 3 | 2 | 0 | 5 | 3,908,037 | 4.09 |
| Greece | 6 | 6 | 4 | 16 | 10,645,343 | 3.76 |
| Netherlands | 4 | 9 | 9 | 22 | 16,318,199 | 2.64 |
| Belarus | 2 | 6 | 7 | 15 | 10,335,382 | 2.61 |
| Denmark | 2 | 0 | 6 | 8 | 5,368,854 | 2.61 |
| Slovakia | 2 | 2 | 2 | 6 | 5,422,366 | 2.58 |
| Bulgaria | 2 | 1 | 9 | 12 | 7,621,337 | 2.49 |
| Croatia | 1 | 2 | 2 | 5 | 4,390,751 | 2.28 |
| Sweden | 4 | 1 | 2 | 7 | 8,876,744 | 2.25 |
| Romania | 8 | 5 | 6 | 19 | 22,317,730 | 2.15 |
| Austria | 2 | 4 | 1 | 7 | 8,169,929 | 2.08 |
| South Korea | 9 | 12 | 9 | 30 | 48,324,000 | 1.43 |
| Russia | 27 | 27 | 38 | 92 | 144,978,573 | 1.38 |
| Czech Republic | 1 | 3 | 4 | 8 | 10,256,760 | 1.36 |
| Germany | 14 | 16 | 18 | 48 | 83,251,851 | 1.27 |
| Italy | 10 | 11 | 11 | 32 | 57,715,625 | 1.26 |
| France | 11 | 9 | 13 | 33 | 59,765,983 | 1.25 |
| Switzerland | 1 | 1 | 3 | 5 | 7,301,994 | 1.23 |
| Ukraine | 9 | 5 | 9 | 23 | 48,396,470 | 1.14 |
| Great Britain | 9 | 9 | 12 | 30 | 59,778,002 | 1.10 |
| Azerbaijan | 1 | 0 | 4 | 5 | 7,798,497 | 1.03 |
| Spain | 3 | 11 | 5 | 19 | 40,077,100 | 0.97 |
| Kazakhstan | 1 | 4 | 3 | 8 | 16,741,519 | 0.90 |
| United States | 35 | 39 | 29 | 103 | 280,562,489 | 0.88 |
| Canada | 3 | 6 | 3 | 12 | 31,902,268 | 0.85 |
| Japan | 16 | 9 | 12 | 37 | 126,974,628 | 0.74 |
| Taiwan | 2 | 2 | 1 | 5 | 22,548,009 | 0.58 |
| Poland | 3 | 2 | 5 | 10 | 38,625,478 | 0.54 |
| Uzbekistan | 2 | 1 | 2 | 5 | 25,563,441 | 0.47 |
| Kenya | 1 | 4 | 2 | 7 | 31,138,735 | 0.45 |
| North Korea | 0 | 4 | 1 | 5 | 22,224,195 | 0.40 |
| Turkey | 3 | 3 | 4 | 10 | 67,308,928 | 0.33 |
| Argentina | 2 | 0 | 4 | 6 | 37,812,817 | 0.32 |
| Thailand | 3 | 1 | 4 | 8 | 62,354,402 | 0.29 |
| South Africa | 1 | 3 | 2 | 6 | 43,647,658 | 0.27 |
| Ethiopia | 2 | 3 | 2 | 7 | 67,673,031 | 0.24 |
| Iran | 2 | 2 | 2 | 6 | 66,622,704 | 0.21 |
| Brazil | 4 | 3 | 3 | 10 | 176,029,560 | 0.14 |
| China | 32 | 17 | 14 | 63 | 1,284,303,705 | 0.14 |
| Egypt | 1 | 1 | 3 | 5 | 70,712,345 | 0.13 |
You may download the Gnumeric spreadsheet of my calculations. To open the file you need Gnumeric, part of the GNOME Office suite.
Another Update: The Paralympics have been played now, so let's add them into the cooking pot. Korea in the following table is a bit screwy as the BBC seems to lump North and South together for the Paralympics, but not for the Olympics. Ho hum.
| Country | Olympics | Paralympics | Total | Population | Medals per Million |
||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| G | S | B | T | G | S | B | T | ||||
| Australia | 17 | 16 | 16 | 49 | 26 | 38 | 36 | 100 | 149 | 19,546,792 | 7.62 |
| Denmark | 2 | 0 | 6 | 8 | 5 | 3 | 7 | 15 | 23 | 5,368,854 | 4.28 |
| Belarus | 2 | 6 | 7 | 15 | 10 | 12 | 7 | 29 | 44 | 10,335,382 | 4.26 |
| Slovenia | 0 | 1 | 3 | 4 | 1 | 2 | 1 | 4 | 8 | 1,932,917 | 4.14 |
| New Zealand | 3 | 2 | 0 | 5 | 6 | 1 | 3 | 10 | 15 | 3,908,037 | 3.84 |
| Czech Republic | 1 | 3 | 4 | 8 | 16 | 8 | 7 | 31 | 39 | 10,256,760 | 3.80 |
| Austria | 2 | 4 | 1 | 7 | 8 | 11 | 4 | 23 | 30 | 8,169,929 | 3.67 |
| Hungary | 8 | 6 | 3 | 17 | 1 | 8 | 9 | 18 | 35 | 10,075,034 | 3.47 |
| Cuba | 9 | 7 | 11 | 27 | 2 | 2 | 7 | 11 | 38 | 11,224,321 | 3.39 |
| Greece | 6 | 6 | 4 | 16 | 3 | 13 | 4 | 20 | 36 | 10,645,343 | 3.38 |
| Slovakia | 2 | 2 | 2 | 6 | 5 | 3 | 4 | 12 | 18 | 5,422,366 | 3.32 |
| Sweden | 4 | 1 | 2 | 7 | 8 | 7 | 6 | 21 | 28 | 8,876,744 | 3.15 |
| Netherlands | 4 | 9 | 9 | 22 | 5 | 11 | 12 | 28 | 50 | 16,318,199 | 3.06 |
| Latvia | 0 | 4 | 0 | 4 | 1 | 1 | 1 | 3 | 7 | 2,366,515 | 2.96 |
| Switzerland | 1 | 1 | 3 | 5 | 2 | 6 | 8 | 16 | 21 | 7,301,994 | 2.88 |
| Kuwait | 0 | 0 | 0 | 0 | 1 | 2 | 3 | 6 | 6 | 2,111,561 | 2.84 |
| Lithuania | 1 | 2 | 0 | 3 | 1 | 1 | 5 | 7 | 10 | 3,601,138 | 2.78 |
| Hong Kong | 0 | 1 | 0 | 1 | 11 | 7 | 1 | 19 | 20 | 7,303,334 | 2.74 |
| Canada | 3 | 6 | 3 | 12 | 28 | 19 | 25 | 72 | 84 | 31,902,268 | 2.63 |
| Jamaica | 2 | 1 | 2 | 5 | 1 | 0 | 1 | 2 | 7 | 2,680,029 | 2.61 |
| Israel | 1 | 0 | 1 | 2 | 4 | 4 | 5 | 13 | 15 | 6,029,529 | 2.49 |
| Norway | 5 | 0 | 1 | 6 | 3 | 1 | 1 | 5 | 11 | 4,525,116 | 2.43 |
| Spain | 3 | 11 | 5 | 19 | 20 | 27 | 24 | 71 | 90 | 40,077,100 | 2.25 |
| Great Britain | 9 | 9 | 12 | 30 | 35 | 30 | 29 | 94 | 124 | 59,778,002 | 2.07 |
| Croatia | 1 | 2 | 2 | 5 | 0 | 0 | 4 | 4 | 9 | 4,390,751 | 2.05 |
| United Arab Emirates | 1 | 0 | 0 | 1 | 1 | 1 | 2 | 4 | 5 | 2,445,989 | 2.04 |
| Finland | 0 | 2 | 0 | 2 | 4 | 1 | 3 | 8 | 10 | 5,183,545 | 1.93 |
| Tunisia | 0 | 0 | 0 | 0 | 8 | 7 | 3 | 18 | 18 | 9,815,644 | 1.83 |
| France | 11 | 9 | 13 | 33 | 18 | 26 | 30 | 74 | 107 | 59,765,983 | 1.79 |
| Poland | 3 | 2 | 5 | 10 | 10 | 25 | 19 | 54 | 64 | 38,625,478 | 1.66 |
| Ukraine | 9 | 5 | 9 | 23 | 24 | 12 | 19 | 55 | 78 | 48,396,470 | 1.61 |
| Bulgaria | 2 | 1 | 9 | 12 | 0 | 0 | 0 | 0 | 12 | 7,621,337 | 1.57 |
| Germany | 14 | 16 | 18 | 48 | 19 | 28 | 32 | 79 | 127 | 83,251,851 | 1.53 |
| Portugal | 0 | 2 | 1 | 3 | 2 | 5 | 5 | 12 | 15 | 10,084,245 | 1.49 |
| Ireland | 1 | 0 | 0 | 1 | 0 | 3 | 1 | 4 | 5 | 3,883,159 | 1.29 |
| Azerbaijan | 1 | 0 | 4 | 5 | 2 | 1 | 1 | 4 | 9 | 7,798,497 | 1.15 |
| Belgium | 1 | 0 | 2 | 3 | 3 | 2 | 2 | 7 | 10 | 10,274,595 | 0.97 |
| South Africa | 1 | 3 | 2 | 6 | 15 | 13 | 7 | 35 | 41 | 43,647,658 | 0.94 |
| Russia | 27 | 27 | 38 | 92 | 16 | 8 | 17 | 41 | 133 | 144,978,573 | 0.92 |
| Italy | 10 | 11 | 11 | 32 | 4 | 8 | 7 | 19 | 51 | 57,715,625 | 0.88 |
| Romania | 8 | 5 | 6 | 19 | 0 | 0 | 0 | 0 | 19 | 22,317,730 | 0.85 |
| Japan | 16 | 9 | 12 | 37 | 17 | 15 | 20 | 52 | 89 | 126,974,628 | 0.70 |
| United States | 35 | 39 | 29 | 103 | 27 | 22 | 39 | 88 | 191 | 280,562,489 | 0.68 |
| South Korea | 9 | 12 | 9 | 30 | 0 | 0 | 0 | 0 | 30 | 48,324,000 | 0.62 |
| Taiwan | 2 | 2 | 1 | 5 | 2 | 2 | 2 | 6 | 11 | 22,548,009 | 0.49 |
| Kazakhstan | 1 | 4 | 3 | 8 | 0 | 0 | 0 | 0 | 8 | 16,741,519 | 0.48 |
| Kenya | 1 | 4 | 2 | 7 | 3 | 1 | 3 | 7 | 14 | 31,138,735 | 0.45 |
| Iran | 2 | 2 | 2 | 6 | 7 | 3 | 13 | 23 | 29 | 66,622,704 | 0.44 |
| Algeria | 0 | 0 | 0 | 0 | 6 | 2 | 5 | 13 | 13 | 32,277,942 | 0.40 |
| Egypt | 1 | 1 | 3 | 5 | 6 | 9 | 8 | 23 | 28 | 70,712,345 | 0.40 |
| Thailand | 3 | 1 | 4 | 8 | 3 | 6 | 6 | 15 | 23 | 62,354,402 | 0.37 |
| Mexico | 0 | 3 | 1 | 4 | 14 | 10 | 10 | 34 | 38 | 103,400,165 | 0.37 |
| Morocco | 2 | 1 | 0 | 3 | 2 | 4 | 0 | 6 | 9 | 31,167,783 | 0.29 |
| Argentina | 2 | 0 | 4 | 6 | 0 | 2 | 2 | 4 | 10 | 37,812,817 | 0.26 |
| Brazil | 4 | 3 | 3 | 10 | 14 | 12 | 7 | 33 | 43 | 176,029,560 | 0.24 |
| North Korea | 0 | 4 | 1 | 5 | 0 | 0 | 0 | 0 | 5 | 22,224,195 | 0.22 |
| Venezuela | 0 | 0 | 2 | 2 | 0 | 1 | 2 | 3 | 5 | 24,287,670 | 0.21 |
| Uzbekistan | 2 | 1 | 2 | 5 | 0 | 0 | 0 | 0 | 5 | 25,563,441 | 0.20 |
| Turkey | 3 | 3 | 4 | 10 | 1 | 0 | 1 | 2 | 12 | 67,308,928 | 0.18 |
| China | 32 | 17 | 14 | 63 | 63 | 46 | 32 | 141 | 204 | 1,284,303,705 | 0.16 |
| Ethiopia | 2 | 3 | 2 | 7 | 0 | 0 | 0 | 0 | 7 | 67,673,031 | 0.10 |
| Nigeria | 0 | 0 | 2 | 2 | 5 | 4 | 3 | 12 | 14 | 137,253,133 | 0.10 |
And let's look at what proportions of each country's medal haul that was won by paralympians. The formula is PARALYMPICS_MEDALS / TOTAL_MEDALS.
| Country | Olympics | Paralympics | Percentage | ||||||
|---|---|---|---|---|---|---|---|---|---|
| G | S | B | T | G | S | B | T | ||
| Algeria | 0 | 0 | 0 | 0 | 6 | 2 | 5 | 13 | 100.00% |
| Angola | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 3 | 100.00% |
| Bahrain | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 100.00% |
| Bosnia/Herzegov | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 100.00% |
| Botswana | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 100.00% |
| Cyprus | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 100.00% |
| Faroe Islands | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 100.00% |
| Iceland | 0 | 0 | 0 | 0 | 1 | 3 | 0 | 4 | 100.00% |
| Iraq | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 100.00% |
| Jordan | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 100.00% |
| Kuwait | 0 | 0 | 0 | 0 | 1 | 2 | 3 | 6 | 100.00% |
| Macedonia | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 100.00% |
| Palestine | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 100.00% |
| Panama | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 100.00% |
| Peru | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 100.00% |
| Puerto Rico | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 100.00% |
| Rwanda | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 100.00% |
| Tunisia | 0 | 0 | 0 | 0 | 8 | 7 | 3 | 18 | 100.00% |
| Hong Kong | 0 | 1 | 0 | 1 | 11 | 7 | 1 | 19 | 95.00% |
| Mexico | 0 | 3 | 1 | 4 | 14 | 10 | 10 | 34 | 89.47% |
| Israel | 1 | 0 | 1 | 2 | 4 | 4 | 5 | 13 | 86.67% |
| Canada | 3 | 6 | 3 | 12 | 28 | 19 | 25 | 72 | 85.71% |
| Nigeria | 0 | 0 | 2 | 2 | 5 | 4 | 3 | 12 | 85.71% |
| South Africa | 1 | 3 | 2 | 6 | 15 | 13 | 7 | 35 | 85.37% |
| Poland | 3 | 2 | 5 | 10 | 10 | 25 | 19 | 54 | 84.38% |
| Egypt | 1 | 1 | 3 | 5 | 6 | 9 | 8 | 23 | 82.14% |
| Finland | 0 | 2 | 0 | 2 | 4 | 1 | 3 | 8 | 80.00% |
| Ireland | 1 | 0 | 0 | 1 | 0 | 3 | 1 | 4 | 80.00% |
| Portugal | 0 | 2 | 1 | 3 | 2 | 5 | 5 | 12 | 80.00% |
| United Arab Emirates | 1 | 0 | 0 | 1 | 1 | 1 | 2 | 4 | 80.00% |
| Czech Republic | 1 | 3 | 4 | 8 | 16 | 8 | 7 | 31 | 79.49% |
| Iran | 2 | 2 | 2 | 6 | 7 | 3 | 13 | 23 | 79.31% |
| Spain | 3 | 11 | 5 | 19 | 20 | 27 | 24 | 71 | 78.89% |
| Brazil | 4 | 3 | 3 | 10 | 14 | 12 | 7 | 33 | 76.74% |
| Austria | 2 | 4 | 1 | 7 | 8 | 11 | 4 | 23 | 76.67% |
| Switzerland | 1 | 1 | 3 | 5 | 2 | 6 | 8 | 16 | 76.19% |
| Great Britain | 9 | 9 | 12 | 30 | 35 | 30 | 29 | 94 | 75.81% |
| Sweden | 4 | 1 | 2 | 7 | 8 | 7 | 6 | 21 | 75.00% |
| Ukraine | 9 | 5 | 9 | 23 | 24 | 12 | 19 | 55 | 70.51% |
| Belgium | 1 | 0 | 2 | 3 | 3 | 2 | 2 | 7 | 70.00% |
| Lithuania | 1 | 2 | 0 | 3 | 1 | 1 | 5 | 7 | 70.00% |
| France | 11 | 9 | 13 | 33 | 18 | 26 | 30 | 74 | 69.16% |
| China | 32 | 17 | 14 | 63 | 63 | 46 | 32 | 141 | 69.12% |
| Australia | 17 | 16 | 16 | 49 | 26 | 38 | 36 | 100 | 67.11% |
| India | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 2 | 66.67% |
| Morocco | 2 | 1 | 0 | 3 | 2 | 4 | 0 | 6 | 66.67% |
| New Zealand | 3 | 2 | 0 | 5 | 6 | 1 | 3 | 10 | 66.67% |
| Slovakia | 2 | 2 | 2 | 6 | 5 | 3 | 4 | 12 | 66.67% |
| Belarus | 2 | 6 | 7 | 15 | 10 | 12 | 7 | 29 | 65.91% |
| Denmark | 2 | 0 | 6 | 8 | 5 | 3 | 7 | 15 | 65.22% |
| Thailand | 3 | 1 | 4 | 8 | 3 | 6 | 6 | 15 | 65.22% |
| Germany | 14 | 16 | 18 | 48 | 19 | 28 | 32 | 79 | 62.20% |
| Venezuela | 0 | 0 | 2 | 2 | 0 | 1 | 2 | 3 | 60.00% |
| Japan | 16 | 9 | 12 | 37 | 17 | 15 | 20 | 52 | 58.43% |
| Netherlands | 4 | 9 | 9 | 22 | 5 | 11 | 12 | 28 | 56.00% |
| Greece | 6 | 6 | 4 | 16 | 3 | 13 | 4 | 20 | 55.56% |
| Taiwan | 2 | 2 | 1 | 5 | 2 | 2 | 2 | 6 | 54.55% |
| Hungary | 8 | 6 | 3 | 17 | 1 | 8 | 9 | 18 | 51.43% |
| Kenya | 1 | 4 | 2 | 7 | 3 | 1 | 3 | 7 | 50.00% |
| Serbia and Montenegro | 0 | 2 | 0 | 2 | 0 | 0 | 2 | 2 | 50.00% |
| Slovenia | 0 | 1 | 3 | 4 | 1 | 2 | 1 | 4 | 50.00% |
| United States | 35 | 39 | 29 | 103 | 27 | 22 | 39 | 88 | 46.07% |
| Norway | 5 | 0 | 1 | 6 | 3 | 1 | 1 | 5 | 45.45% |
| Azerbaijan | 1 | 0 | 4 | 5 | 2 | 1 | 1 | 4 | 44.44% |
| Croatia | 1 | 2 | 2 | 5 | 0 | 0 | 4 | 4 | 44.44% |
| Latvia | 0 | 4 | 0 | 4 | 1 | 1 | 1 | 3 | 42.86% |
| Argentina | 2 | 0 | 4 | 6 | 0 | 2 | 2 | 4 | 40.00% |
| Italy | 10 | 11 | 11 | 32 | 4 | 8 | 7 | 19 | 37.25% |
| Russia | 27 | 27 | 38 | 92 | 16 | 8 | 17 | 41 | 30.83% |
| Cuba | 9 | 7 | 11 | 27 | 2 | 2 | 7 | 11 | 28.95% |
| Jamaica | 2 | 1 | 2 | 5 | 1 | 0 | 1 | 2 | 28.57% |
| Estonia | 0 | 1 | 2 | 3 | 0 | 1 | 0 | 1 | 25.00% |
| Zimbabwe | 1 | 1 | 1 | 3 | 1 | 0 | 0 | 1 | 25.00% |
| Turkey | 3 | 3 | 4 | 10 | 1 | 0 | 1 | 2 | 16.67% |
| Bahamas | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0.00% |
| Bulgaria | 2 | 1 | 9 | 12 | 0 | 0 | 0 | 0 | 0.00% |
| Cameroon | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0.00% |
| Chile | 2 | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 0.00% |
| Colombia | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0.00% |
| Dominican Republic | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0.00% |
| Eritrea | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0.00% |
| Ethiopia | 2 | 3 | 2 | 7 | 0 | 0 | 0 | 0 | 0.00% |
| Georgia | 2 | 2 | 0 | 4 | 0 | 0 | 0 | 0 | 0.00% |
| Indonesia | 1 | 1 | 2 | 4 | 0 | 0 | 0 | 0 | 0.00% |
| Kazakhstan | 1 | 4 | 3 | 8 | 0 | 0 | 0 | 0 | 0.00% |
| Mongolia | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0.00% |
| North Korea | 0 | 4 | 1 | 5 | 0 | 0 | 0 | 0 | 0.00% |
| Paraguay | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0.00% |
| Romania | 8 | 5 | 6 | 19 | 0 | 0 | 0 | 0 | 0.00% |
| South Korea | 9 | 12 | 9 | 30 | 0 | 0 | 0 | 0 | 0.00% |
| Syria | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0.00% |
| Trinidad and Tobago | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0.00% |
| Uzbekistan | 2 | 1 | 2 | 5 | 0 | 0 | 0 | 0 | 0.00% |
Sources
- BBC Sport - Olympics 2004 - Medal Tables (I have a local copy in case the BBC move/remove the document.)
- BBC Sport - Other Sport - Paralympics - Medal Table (I have a local copy in case the BBC move/remove the document.)
- CIA - The World Factbook .(I used the 2002 edition, that is included in dictd as it was faster than looking things up online.)