Table 2.
Variables on which the samples in each country were matched to the population.
| Sample | Matched Variables | N | % | Sample | Matched Variables | N | % |
|---|---|---|---|---|---|---|---|
| Algeria | N/A | 528 | 0.89 | Philippines | N/A | 145 | 0.24 |
| Armenia | N/A | 492 | 0.83 | Poland_1 | Age, Gender, Education | 1883 | 3.17 |
| Australia | Age, Gender | 979 | 1.65 | Poland_2 | N/A | 463 | 0.78 |
| Austria | Age, Gender | 502 | 0.84 | Portugal | N/A | 499 | 0.84 |
| Belgium_1 | Age, Gender | 522 | 0.88 | Romania | N/A | 411 | 0.69 |
| Belgium_2 | Age, Gender | 512 | 0.86 | Russia_1 | N/A | 718 | 1.21 |
| Brazil | Age, Gender, Education | 1261 | 2.12 | Russia_2 | Region, Ethnicity | 395 | 0.66 |
| Bulgaria | Age, Gender | 778 | 1.31 | Russia_3 | N/A | 322 | 0.54 |
| Canada_1 | N/A | 858 | 1.44 | Saudi Arabia | N/A | 489 | 0.82 |
| Canada_2 | Age, Gender | 303 | 0.51 | Serbia | N/A | 337 | 0.57 |
| Chile | Age, Gender, Region, SES | 1992 | 3.35 | Singapore | N/A | 500 | 0.84 |
| China | N/A | 896 | 1.51 | Slovakia | Age, Gender, Region, Municipality Size | 1027 | 1.73 |
| Czechia | N/A | 547 | 0.92 | Slovenia | Age, Gender | 501 | 0.84 |
| Denmark | Age, Gender, Region | 792 | 1.33 | South Africa | Age, Gender | 496 | 0.83 |
| Ecuador | Age, Gender, Region | 679 | 1.14 | South Korea | Age, Gender | 639 | 1.08 |
| Finland | Age, Gender | 625 | 1.05 | Spain_1 | N/A | 110 | 0.19 |
| France | Age, Gender | 1480 | 2.49 | Spain_2 | Age, Gender, Region | 434 | 0.73 |
| Gambia | N/A | 527 | 0.89 | Sri Lanka | N/A | 413 | 0.69 |
| Germany | Age, Gender, Region | 1545 | 2.6 | Sudan | Age, Gender | 623 | 1.05 |
| Ghana | Age, Gender | 522 | 0.88 | Sweden | Age, Gender | 2393 | 4.03 |
| Greece | Age, Gender | 597 | 1 | Switzerland_1 | Age, Gender | 512 | 0.86 |
| India | N/A | 688 | 1.16 | Switzerland_2 | Age, Gender | 531 | 0.89 |
| Ireland | N/A | 753 | 1.27 | Taiwan | N/A | 206 | 0.35 |
| Israel | Age, Gender, Region, Ethnicity | 1384 | 2.33 | Tanzania | Age, Gender | 104 | 0.17 |
| Italy_1 | Age, Gender, Region | 591 | 0.99 | Thailand | N/A | 586 | 0.99 |
| Italy_2 | Gender | 993 | 1.67 | Turkey_1 | N/A | 359 | 0.6 |
| Japan_1 | N/A | 653 | 1.1 | Turkey_2 | Age, Gender | 347 | 0.58 |
| Japan_2 | Income, Education, Region, Ethnicity | 802 | 1.35 | Uganda | Age, Gender | 476 | 0.8 |
| Kenya | Age, Gender | 409 | 0.69 | UK_1 | N/A | 235 | 0.37 |
| Latvia | Income, Education, Ethnicity | 485 | 0.82 | UK_2 | Age, Gender | 952 | 1.6 |
| Mexico | Age, Gender | 490 | 0.82 | UK_3 | N/A | 287 | 0.39 |
| Morocco | Age, Gender | 474 | 0.8 | UK_4 | Gender | 501 | 0.84 |
| Netherlands_1 | Age, Gender | 854 | 1.44 | Ukraine | N/A | 496 | 0.83 |
| Netherlands_2 | Age, Gender | 510 | 0.86 | UAE | Broadly representative for age, gender, and nationalitya | 554 | 0.93 |
| Netherlands_3 | N/A | 500 | 0.84 | Uruguay | N/A | 497 | 0.84 |
| New Zealand | Gender | 1005 | 1.69 | USA_1 | Age, Gender | 838 | 1.41 |
| Nigeria | Age, Gender | 1513 | 2.55 | USA_2 | Age, Gender, Region, Ethnicity | 2360 | 3.97 |
| N. Macedonia | N/A | 878 | 1.48 | USA_3 | Age, Gender | 5055 | 8.5 |
| Norway | Age, Gender, Ethnicity | 997 | 1.68 | Venezuela | N/A | 110 | 0.19 |
| Peru | Age, Gender | 405 | 0.68 | Vietnam | N/A | 383 | 0.64 |
aThe UAE has a widely diverse and distinctive demographic composition characterized by a significant proportion of expatriate residents as opposed to citizens, and availability of current figures is limited by the infrequent publication of such data. Thus, the data included here is broadly representative.