Medals per Million
Update: as for 16 August 2016, Data from BBC, rio2016.com and Wikipedia:
|
Rank |
Country |
Gold |
Silver |
Bronze |
Total |
Popula–tion (M) |
Medals per Million |
Golds per Million |
Medals per GDP $m |
| 61 | GRN |
0 |
1 |
0 |
1 |
0.1 |
9.71 |
0.00 |
1000.00 |
| 36 | ARM |
1 |
3 |
0 |
4 |
3.0 |
1.34 |
0.33 |
371.26 |
| 40 | GEO |
1 |
1 |
3 |
5 |
3.7 |
1.34 |
0.27 |
358.63 |
| 19 | JAM |
3 |
0 |
2 |
5 |
2.7 |
1.84 |
1.10 |
355.69 |
| 48 | FIJ |
1 |
0 |
0 |
1 |
0.9 |
1.15 |
1.15 |
201.45 |
| 59 | MGL |
0 |
1 |
1 |
2 |
3.1 |
0.65 |
0.00 |
171.64 |
| 69 | KGZ |
0 |
0 |
1 |
1 |
6.0 |
0.17 |
0.00 |
165.84 |
| 69 | MDA |
0 |
0 |
1 |
1 |
3.6 |
0.28 |
0.00 |
164.37 |
| 22 | CUB |
2 |
2 |
4 |
8 |
11.2 |
0.71 |
0.18 |
160.23 |
| 48 | KOS |
1 |
0 |
0 |
1 |
1.8 |
0.54 |
0.54 |
154.54 |
| 54 | AZE |
0 |
2 |
3 |
5 |
9.8 |
0.51 |
0.00 |
142.28 |
| 48 | BAH |
1 |
0 |
0 |
1 |
0.4 |
2.65 |
2.65 |
112.15 |
| 12 | HUN |
6 |
3 |
4 |
13 |
9.8 |
1.32 |
0.61 |
110.42 |
| 37 | BLR |
1 |
2 |
2 |
5 |
9.5 |
0.53 |
0.11 |
108.96 |
| 18 | CRO |
3 |
2 |
0 |
5 |
4.2 |
1.19 |
0.72 |
100.14 |
| 30 | UZB |
2 |
0 |
4 |
6 |
31.6 |
0.19 |
0.06 |
97.33 |
| 16 | KEN |
3 |
3 |
0 |
6 |
44.2 |
0.14 |
0.07 |
92.75 |
| 38 | SLO |
1 |
2 |
1 |
4 |
2.1 |
1.94 |
0.48 |
91.34 |
| 20 | KAZ |
2 |
3 |
5 |
10 |
17.8 |
0.56 |
0.11 |
86.09 |
| 33 | UKR |
1 |
4 |
2 |
7 |
42.7 |
0.16 |
0.02 |
83.78 |
| 40 | ETH |
1 |
1 |
3 |
5 |
92.2 |
0.05 |
0.01 |
74.15 |
| 58 | LTU |
0 |
1 |
2 |
3 |
2.9 |
1.05 |
0.00 |
69.73 |
| 48 | SER |
1 |
0 |
0 |
1 |
14.8 |
0.07 |
0.07 |
68.62 |
| 43 | BHR |
1 |
1 |
0 |
2 |
1.4 |
1.42 |
0.71 |
66.49 |
| 14 | NZ |
3 |
6 |
1 |
10 |
4.7 |
2.12 |
0.64 |
58.85 |
| 69 | EST |
0 |
0 |
1 |
1 |
1.3 |
0.76 |
0.00 |
41.93 |
| 39 | CZE |
1 |
1 |
5 |
7 |
10.6 |
0.66 |
0.09 |
37.78 |
| 4 | RUS |
12 |
12 |
14 |
38 |
146.6 |
0.26 |
0.08 |
33.55 |
| 35 | DEN |
1 |
3 |
5 |
9 |
5.7 |
1.57 |
0.17 |
29.82 |
| 32 | SA |
1 |
5 |
1 |
7 |
55.7 |
0.13 |
0.02 |
26.29 |
| 69 | TUN |
0 |
0 |
1 |
1 |
11.2 |
0.09 |
0.00 |
22.73 |
| 43 | SVK |
1 |
1 |
0 |
2 |
5.4 |
0.37 |
0.18 |
22.27 |
| 42 | ROM |
1 |
1 |
2 |
4 |
19.9 |
0.20 |
0.05 |
21.98 |
| 27 | GRE |
2 |
1 |
1 |
4 |
10.9 |
0.37 |
0.18 |
20.56 |
| 9 | AUS |
7 |
8 |
9 |
24 |
24.2 |
0.99 |
0.29 |
19.99 |
| 7 | NED |
8 |
3 |
3 |
14 |
17.0 |
0.82 |
0.47 |
18.36 |
| 2 | GB |
19 |
19 |
12 |
50 |
65.1 |
0.77 |
0.29 |
18.11 |
| 24 | COL |
2 |
2 |
0 |
4 |
48.8 |
0.08 |
0.04 |
15.80 |
| 23 | POL |
2 |
2 |
3 |
7 |
38.4 |
0.18 |
0.05 |
14.78 |
| 21 | PRK |
2 |
3 |
2 |
7 |
25.3 |
0.28 |
0.08 |
13.01 |
| 6 | ITA |
8 |
9 |
6 |
23 |
60.7 |
0.38 |
0.13 |
12.44 |
| 8 | FRA |
7 |
11 |
11 |
29 |
66.7 |
0.43 |
0.10 |
11.77 |
| 34 | SWE |
1 |
4 |
1 |
6 |
9.9 |
0.61 |
0.10 |
11.70 |
| 25 | BEL |
2 |
1 |
2 |
5 |
11.3 |
0.44 |
0.18 |
10.75 |
| 11 | KOR |
6 |
3 |
5 |
14 |
50.8 |
0.28 |
0.12 |
10.60 |
| 31 | IRN |
2 |
0 |
2 |
4 |
79.5 |
0.05 |
0.03 |
10.36 |
| 48 | PUR |
1 |
0 |
0 |
1 |
10.3 |
0.10 |
0.10 |
10.03 |
| 43 | VIE |
1 |
1 |
0 |
2 |
92.7 |
0.02 |
0.01 |
9.93 |
| 27 | THA |
2 |
1 |
1 |
4 |
65.7 |
0.06 |
0.03 |
9.76 |
| 17 | CAN |
3 |
2 |
9 |
14 |
36.2 |
0.39 |
0.08 |
9.57 |
| 69 | MOR |
0 |
0 |
1 |
1 |
34.0 |
0.03 |
0.00 |
9.25 |
| 66 | NOR |
0 |
0 |
3 |
3 |
5.2 |
0.57 |
0.00 |
8.18 |
| 56 | IRE |
0 |
2 |
0 |
2 |
4.8 |
0.42 |
0.00 |
7.86 |
| 25 | SWI |
2 |
1 |
2 |
5 |
8.3 |
0.60 |
0.24 |
7.67 |
| 5 | GER |
11 |
8 |
7 |
26 |
81.8 |
0.32 |
0.13 |
7.50 |
| 15 | BRZ |
3 |
4 |
4 |
11 |
206.5 |
0.05 |
0.01 |
7.17 |
| 29 | ARG |
2 |
1 |
0 |
3 |
43.6 |
0.07 |
0.05 |
6.85 |
| 10 | JPN |
7 |
4 |
18 |
29 |
127.0 |
0.23 |
0.06 |
6.57 |
| 67 | ISR |
0 |
0 |
2 |
2 |
8.5 |
0.23 |
0.00 |
6.53 |
| 59 | MAS |
0 |
1 |
1 |
2 |
31.0 |
0.06 |
0.00 |
6.47 |
| 67 | EGY |
0 |
0 |
2 |
2 |
91.5 |
0.02 |
0.00 |
6.05 |
| 61 | ALG |
0 |
1 |
0 |
1 |
40.4 |
0.02 |
0.00 |
6.03 |
| 46 | TPE |
1 |
0 |
2 |
3 |
23.5 |
0.13 |
0.04 |
5.90 |
| 61 | QAT |
0 |
1 |
0 |
1 |
2.3 |
0.43 |
0.00 |
5.85 |
| 13 | SPA |
4 |
1 |
2 |
7 |
46.4 |
0.15 |
0.09 |
5.63 |
| 61 | VEN |
0 |
1 |
0 |
1 |
31.0 |
0.03 |
0.00 |
5.39 |
| 69 | POR |
0 |
0 |
1 |
1 |
10.3 |
0.10 |
0.00 |
4.88 |
| 1 | US |
28 |
28 |
28 |
84 |
324.2 |
0.26 |
0.09 |
4.53 |
| 3 | CHN |
17 |
15 |
19 |
51 |
1378.2 |
0.04 |
0.01 |
4.48 |
| 55 | TUR |
0 |
2 |
1 |
3 |
78.7 |
0.04 |
0.00 |
3.99 |
| 48 | SIN |
1 |
0 |
0 |
1 |
5.5 |
0.18 |
0.18 |
3.39 |
| 61 | PHI |
0 |
1 |
0 |
1 |
102.9 |
0.01 |
0.00 |
3.22 |
| 69 | UAE |
0 |
0 |
1 |
1 |
9.9 |
0.10 |
0.00 |
3.08 |
| 69 | AUT |
0 |
0 |
1 |
1 |
8.7 |
0.11 |
0.00 |
2.60 |
| 56 | IDN |
0 |
2 |
0 |
2 |
258.7 |
0.01 |
0.00 |
2.13 |
| 47 | IOA |
1 |
0 |
1 |
2 |
0.0 |
—
Yes, of course USA is top nation at the moment (in terms of Olympic medals) but it’s got a large population. Wouldn’t a fairer comparison be medals per head of population, or rather, per million. Here are the results sorted that way, as of 15 August 2016:
Comments: 3
Nice one DR.
How about looking at number of medal winning athletes per million people. I think that would change it round quite a lot by taking out the “Phelps effect”. Perhaps not so easy to do though.
Interesting idea. I’d need to find a source for the medal-winning athletes. Stars per million of population would be a nice way of looking at it.