Table 1.
Sample size, proportions of valid data, age mean and standard deviation across countries with more than 200 participants.
| Country | N | Prop_50 | Prop_90 | M_age | SD_age |
|---|---|---|---|---|---|
| Finland | 22933 | 0.854 | 0.804 | 43.357 | 14.170 |
| France | 13475 | 0.833 | 0.778 | 33.267 | 12.760 |
| Denmark | 10891 | 0.817 | 0.754 | 42.543 | 14.277 |
| Mexico | 9169 | 0.791 | 0.722 | 37.453 | 13.830 |
| Lithuania | 8255 | 0.796 | 0.720 | 38.553 | 12.459 |
| Argentina | 5923 | 0.711 | 0.598 | 41.593 | 15.244 |
| Japan | 5072 | 0.910 | 0.875 | 44.369 | 11.312 |
| Bulgaria | 4785 | 0.780 | 0.675 | 41.636 | 13.510 |
| Poland | 3088 | 0.779 | 0.694 | 31.315 | 7.883 |
| Sweden | 3055 | 0.825 | 0.764 | 46.477 | 12.373 |
| Croatia | 2965 | 0.807 | 0.739 | 35.408 | 12.247 |
| Taiwan | 2745 | 0.830 | 0.752 | 33.072 | 11.332 |
| Kosovo | 2707 | 0.615 | 0.468 | 29.225 | 10.058 |
| United States | 2314 | 0.832 | 0.783 | 42.857 | 14.714 |
| Czech Republic | 1995 | 0.787 | 0.720 | 33.375 | 11.506 |
| Italy | 1749 | 0.805 | 0.723 | 44.747 | 15.311 |
| Indonesia | 1569 | 0.723 | 0.616 | 31.047 | 9.572 |
| United Kingdom | 1500 | 0.775 | 0.701 | 39.438 | 12.814 |
| Germany | 1443 | 0.814 | 0.758 | 36.711 | 12.055 |
| Hungary | 1438 | 0.743 | 0.654 | 49.022 | 15.133 |
| Netherlands | 1433 | 0.800 | 0.748 | 44.944 | 14.730 |
| Bosnia and Herzegovina | 1288 | 0.780 | 0.661 | 37.256 | 11.972 |
| Turkey | 1199 | 0.760 | 0.667 | 33.533 | 11.809 |
| Switzerland | 1188 | 0.810 | 0.757 | 42.698 | 17.172 |
| Portugal | 1067 | 0.712 | 0.630 | 33.767 | 13.598 |
| Slovakia | 942 | 0.741 | 0.667 | 41.879 | 12.903 |
| Panama | 759 | 0.735 | 0.632 | 39.486 | 14.635 |
| Brazil | 731 | 0.778 | 0.703 | 35.259 | 13.748 |
| Greece | 642 | 0.822 | 0.745 | 41.785 | 11.622 |
| Belgium | 622 | 0.826 | 0.756 | 36.466 | 12.827 |
| Spain | 615 | 0.761 | 0.676 | 38.787 | 15.405 |
| Philippines | 570 | 0.849 | 0.777 | 25.853 | 11.424 |
| Malaysia | 567 | 0.769 | 0.709 | 36.795 | 14.411 |
| Korea, South | 487 | 0.764 | 0.671 | 38.053 | 10.427 |
| Canada | 470 | 0.811 | 0.760 | 41.349 | 14.540 |
| Bangladesh | 421 | 0.675 | 0.523 | 28.088 | 6.230 |
| Pakistan | 360 | 0.631 | 0.511 | 27.053 | 8.728 |
| Australia | 327 | 0.807 | 0.749 | 42.648 | 13.963 |
| Austria | 319 | 0.743 | 0.661 | 38.473 | 11.717 |
| Romania | 282 | 0.699 | 0.638 | 34.053 | 9.479 |
| Serbia | 266 | 0.816 | 0.688 | 38.556 | 12.651 |
| Ireland | 216 | 0.769 | 0.667 | 40.565 | 10.536 |
Note.
N = number of participants; Prop = proportion.
Prop_50 = proportion of participants that have more than 50% of non-missing data.
Prop_90 = proportion of participants that have more than 90% of non-missing data.
M_age = mean age; SD_age = standard deviation of age.