TABLE 1.
Sociodemographic characteristics of respondents in the analytic sample (weighted; N = 41,607)
| Total N = 41,607 | Australia n = 7926 | Canada n = 8031 | Mexico n = 8110 | UK n = 9129 | US n = 8411 | |
|---|---|---|---|---|---|---|
| % (n) | % (n) | % (n) | % (n) | % (n) | % (n) | |
| Year | ||||||
| 2018 | 51.9 (21,592) | 49.0 (3884) | 51.1 (4018) | 48.9 (3965) | 56.9 (5191) | 52.8 (4444) |
| 2019 | 48.1 (20,015) | 51.0 (4042) | 48.9 (3923) | 51.1 (4145) | 43.1 (3938) | 47.2 (3967) |
| Age, y | ||||||
| 18–29 | 21.7 (9018) | 21.1 (1670) | 19.1 (1535) | 29.6 (2399) | 18.8 (1716) | 20.2 (1697) |
| 30–44 | 26.5 (11,020) | 26.3 (2084) | 24.9 (2000) | 32.2 (2614) | 24.1 (2205) | 25.2 (2118) |
| 45–59 | 26.0 (10,838) | 24.6 (1950) | 25.4 (2037) | 28.4 (2302) | 26.2 (2390) | 25.7 (2158) |
| ≥60 | 25.8 (10,731) | 28.0 (2223) | 30.6 (2459) | 9.8 (794) | 30.9 (2818) | 29.0 (2437) |
| Sex | ||||||
| Female | 51.3 (21,330) | 51.0 (4041) | 50.4 (4046) | 52.2 (4237) | 51.3 (4684) | 51.4 (4323) |
| Male | 48.7 (20,277) | 49.0 (3885) | 49.6 (3985) | 47.8 (3873) | 48.7 (4445) | 48.6 (4088) |
| Ethnicity1 | ||||||
| Majority group | 80.3 (33,405) | 75.8 (6005) | 80.4 (6453) | 79.0 (6403) | 89.3 (8153) | 76.0 (6390) |
| Minority group | 19.7 (8202) | 24.2 (1921) | 19.6 (1578) | 21.0 (1707) | 10.7 (976) | 24.0 (2021) |
| Education level2 | ||||||
| Low | 42.5 (17,678) | 41.7 (3304) | 41.4 (3329) | 20.7 (1682) | 49.5 (4520) | 57.6 (4844) |
| Medium | 22.1 (9192) | 32.7 (2591) | 33.7 (2707) | 13.1 (1058) | 22.0 (2007) | 9.8 (827) |
| High | 35.4 (14,737) | 25.6 (2031) | 24.8 (1995) | 66.2 (5370) | 28.5 (2601) | 32.6 (2740) |
| BMI classification | ||||||
| <18.5 kg/m2 | 2.9 (1222) | 3.4 (266) | 2.9 (230) | 2.2 (175) | 2.8 (255) | 3.5 (295) |
| 18.5–24.9 kg/m2 | 34.3 (14,264) | 35.2 (2793) | 33.3 (2675) | 38.3 (3102) | 33.9 (3091) | 30.9 (2603) |
| 25.0–29.9 kg/m2 | 28.7 (11,942) | 27.3 (2161) | 29.7 (2382) | 31.5 (2558) | 27.2 (2481) | 28.1 (2361) |
| ≥30.0 kg/m2 | 20.7 (8606) | 21.1 (1671) | 23.5 (1885) | 15.0 (1216) | 17.4 (1590) | 26.7 (2244) |
| Missing | 13.4 (5573) | 13.1 (1035) | 10.7 (858) | 13.1 (1058) | 18.8 (1712) | 10.8 (909) |
| Income adequacy3 | ||||||
| Adequate | 69.3 (28,837) | 71.4 (5661) | 71.4 (5732) | 57.1 (4628) | 75.7 (6913) | 70.2 (5902) |
| Inadequate | 30.7 (12,770) | 28.6 (2265) | 28.6 (2299) | 42.9 (3482) | 24.3 (2216) | 29.8 (2509) |
Ethnicity categories as per census questions asked in each country: 1) in Australia, majority indicates the participant only speaks English at home and minority indicates they speaks a language besides English at home; 2) in Canada, the United Kingdom, and the United States, majority indicates the participant is White and minority indicates they are of another ethnicity; and 3) in Mexico, majority indicates the participant is nonindigenous and minority indicates they are indigenous.
Respondents were asked, “what is the highest level of formal education that you have completed?” Responses were categorized as low (completed secondary school or less), medium (some postsecondary qualifications), or high (university degree or higher) levels of education according to country-specific criteria.
Respondents were asked, “thinking about your total monthly income, how difficult or easy is it for you to make ends meet?” Response options “very easy,” “easy,” and “neither easy nor difficult” were categorized as high income adequacy, and response options “difficult” and “very difficult” were categorized as low income adequacy.