Paralympic Medal table by GDP and Population

The Olympics are over, long live the Olympics! I was interested to see that the medal table for the Paralympics. Ranking by total medals, China was at the top, then Russia then Great Britain and then The United States. Well done all of them. I have to admit that the Paralympics have made me view the “disabled” in a different light. These guys are far more energetic and determined than I will ever be. Indeed, the ubiquitous overexcitement fist waving and overzealous exhalations of victory by the disabled has liberated me to dislike disabled sportsman as much as I dislike any other sports bores.

I have to admit I was surprised to see China at the top as, though I knew they’d made a big effort, I hadn’t realised that they’d made a big Paralympic effort. Russia too. Looking down the medal table got me thinking. Always dangerous……

Plucky little Cuba and New Zealand down there with 17 medals. Good for them. Not as great an achievement as China or Russia but……..hang on…..New Zealand and Cuba have miniscule populations compared with China and their economies are not nearly as great.

Obviously rich countries will do better as they have the lolly to throw at the games. The real test is not how much money you have but what you make of it. I collected some data and created a table which lists countries and their medal totals. I added a column for the country’s Gross Domestic Product which, for those uninterested in economics, is a measure of a country’s wealth. I added another column for a country’s population. I then added extra columns for “ratios” which I calculated by dividing the country’s total medals by it’s GDP or population and then multiplying by a fudge factor to get the numbers into a readable format. (ie. Not so small that they are lots of leading zeros).

More specifically the Population Ratio is the total medals divided by population and multiplied by 10,000,000. The GDP Ratio is the total medals divided by GDP and multiplied by 100,000. I then added extra columns showing ranking by Population Ratio or GDP Ratio.

I should say that I had “issues” obtaining information for all countries. China seems to score Hong King separately, Britain has it’s usual schizophrenia about whether it is The UK or Great Britain and “the former” Yugoslavia seems in a constant state of flux. However, I cobbled the data from Wikipedia together the best I could (well, as quickly as possible) and made a few assumptions.

The results are quite revealing.

Cuba and New Zealand’s efforts are actually more impressive than China, Russia, Britain or the USA. New Zealand ranks 1st by Population Ratio and 11th by GDP ratio. Cuba ranks 5th by GDP Ratio and 13th by Population Ratio. Other notable items are that Fiji is 4th by GDP ratio, Ireland is 3rd by Population Ratio and Iceland 4th by Population Ratio.

And Britain? Well we didn’t do so bad after all. Britain is 1st by GDP ratio and 5th by Population Ratio. On the other hand, India’s performance was dismal. Bottom by total medals, by GDP ratio and by Population Ratio.

Country Rank by Gold Gold Silver Bronze Total Rank by Total Medals Population Population Ratio Rank by Pop Ratio GDP (USD) GDP Ratio Rank by GDP ratio
Britain 3 34 43 43 120 2 45561989 26.34 5 137936 87 1
Ukraine 4 32 24 28 84 6 45561989 18.44 7 137936 60.9 2
Tunisia 14 9 5 5 19 19 10673800 17.8 8 44252 42.94 3
Fiji 52 1 0 0 1 62 876000 11.42 19 3052 32.77 4
Cuba 15 9 5 3 17 21 11247925 15.11 13 64220 26.47 5
Azerbaijan 27 4 5 3 12 30 9235100 12.99 15 51797 23.17 6
Kenya 40 2 2 2 6 41 38610097 1.55 54 32483 18.47 7
Belarus 25 5 2 3 10 35 9457500 10.57 23 54713 18.28 8
Namibia 47 1 1 0 2 54 2104900 9.5 27 11701 17.09 9
Serbia 39 2 3 0 5 45 7120666 7.02 34 37713 13.26 10
New Zealand 21 6 7 4 17 22 4440700 38.28 1 141406 12.02 11
Algeria 26 4 6 9 19 20 37100000 5.12 38 158650 11.98 12
Macedonia 52 1 0 0 1 63 2059794 4.85 40 9138 10.94 13
Hungary 38 2 6 6 14 26 9957731 14.06 14 128629 10.88 14
Iraq 59 0 2 1 3 49 33330000 0.9 62 28141 10.66 15
Latvia 47 1 1 0 2 55 2070371 9.66 26 24014 8.33 16
Croatia 58 0 2 3 5 46 4290612 11.65 18 60852 8.22 17
South Africa 18 8 12 9 29 14 50586757 5.73 37 363704 7.97 18
Iceland 52 1 0 0 1 64 320060 31.24 4 12574 7.95 19
Ireland 19 8 3 5 16 23 4588252 34.87 3 206600 7.74 20
Poland 9 14 13 9 36 12 38538447 9.34 28 469393 7.67 21
Jamaica 52 1 0 0 1 65 2709300 3.69 44 13428 7.45 22
Egypt 28 4 4 7 15 25 82502000 1.82 52 215272 6.97 23
Russia 2 36 38 28 102 3 143142000 7.13 33 1479823 6.89 24
Slovakia 41 2 1 3 6 42 5445324 11.02 22 87263 6.88 25
Australia 5 32 23 30 85 5 22719766 37.41 2 1271945 6.68 26
Nigeria 22 6 5 2 13 27 166629000 0.78 63 196410 6.62 27
Morocco 37 3 0 3 6 43 32660800 1.84 51 91542 6.55 28
Bulgaria 59 0 2 1 3 50 7364570 4.07 42 47702 6.29 29
Iran 11 10 7 7 24 17 1210193422 0.2 72 386670 6.21 30
Bosnia and Herzegovina 52 1 0 0 1 66 3868621 2.58 48 16837 5.94 31
Czech Republic 42 1 6 4 11 34 10507566 10.47 24 197674 5.56 32
Hong Kong 34 3 3 6 12 31 7103700 16.89 9 224459 5.35 33
Netherlands 10 10 10 19 39 11 16740554 23.3 6 779310 5 34
Cyprus 67 0 1 0 1 67 838897 11.92 17 22957 4.36 35
China 1 95 71 65 231 1 1347350000 1.71 53 5739358 4.02 36
Greece 44 1 3 8 12 32 10787690 11.12 20 301065 3.99 37
Ethiopia 67 0 1 0 1 68 84320987 0.12 73 26928 3.71 38
Israel 45 1 2 5 8 37 7900600 10.13 25 217445 3.68 39
Austria 30 4 3 6 13 28 8452835 15.38 12 379047 3.43 40
Spain 17 8 18 16 42 10 46163116 9.1 29 1407322 2.98 41
Republic of Korea 12 9 9 9 27 16 1210193422 0.22 71 1014369 2.66 42
Sweden 29 4 4 4 12 33 9514406 12.61 16 458725 2.62 43
Uzbekistan 67 0 1 0 1 69 29559100 0.34 70 39173 2.55 44
Finland 32 4 1 1 6 44 5418430 11.07 21 238731 2.51 45
Thailand 31 4 2 2 8 38 65479453 1.22 59 318850 2.51 46
Switzerland 33 3 6 4 13 29 7952600 16.35 10 527920 2.46 47
Angola 51 1 0 1 2 56 20609294 0.97 61 82470 2.43 48
Slovenia 67 0 1 0 1 70 2050189 4.88 39 46906 2.13 49
Brazil 7 21 14 8 43 9 193946886 2.22 49 2088966 2.06 50
Mexico 23 6 4 11 21 18 112336538 1.87 50 1032224 2.03 51
Sri Lanka 74 0 0 1 1 71 20277597 0.49 67 49549 2.02 52
Germany 8 18 26 22 66 7 81844000 8.06 32 3280334 2.01 53
Canada 20 7 15 9 31 13 34908900 8.88 31 1577040 1.97 54
Norway 35 3 2 3 8 39 5032600 15.9 11 413056 1.94 55
France 16 8 19 18 45 8 65350000 6.89 35 2559850 1.76 56
Denmark 50 1 0 4 5 47 5584758 8.95 30 309866 1.61 57
Belgium 36 3 1 3 7 40 10839905 6.46 36 469347 1.49 58
Italy 13 9 8 11 28 15 59464644 4.71 41 2051290 1.36 59
Turkey 43 1 5 4 10 36 74724269 1.34 55 734440 1.36 60
Argentina 62 0 1 4 5 48 40117096 1.25 58 370263 1.35 61
Portugal 63 0 1 2 3 51 10561614 2.84 47 228859 1.31 62
Romania 47 1 1 0 2 57 19042936 1.05 60 161629 1.24 63
United Arab Emirates 46 1 1 1 3 52 8264070 3.63 45 297648 1.01 64
Singapore 65 0 1 1 2 58 5183700 3.86 43 222699 0.9 65
Malaysia 65 0 1 1 2 59 29467000 0.68 65 237797 0.84 66
Colombia 61 0 2 0 2 60 46683000 0.43 68 288086 0.69 67
USA 6 31 29 38 98 4 314303000 3.12 46 14447100 0.68 68
Taiwan 63 0 1 2 3 53 22805547 1.32 56 466832 0.64 69
Venezuela 73 0 0 2 2 61 27150095 0.74 64 391307 0.51 70
Chile 52 1 0 0 1 72 17402630 0.57 66 203443 0.49 71
Japan 24 5 5 6 16 24 127570000 1.25 57 5458873 0.29 72
Saudi Arabia 67 0 1 0 1 73 27136977 0.37 69 434666 0.23 73
Indonesia 74 0 0 1 1 74 237424569 0.04 74 707448 0.14 74
India 67 0 1 0 1 75 1210193422 0.01 75 1722328 0.06 75
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