Table 1.
Weighted characteristics of respondents in the International Food Policy Study 20201
Characteristic | Total sample N = 20,554 | Australia n = 4115 | Canada n = 4067 | Mexico n = 3961 | United Kingdom n = 4058 | United States n = 4354 | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
% | (n) | % | (n) | % | (n) | % | (n) | % | (n) | % | (n) | |
Age | ||||||||||||
18–29 years | 20.9 | (4287) | 20.5 | (842) | 18.5 | (753) | 27.4 | (1085) | 18.3 | (742) | 19.9 | (865) |
30–44 years | 26.2 | (5387) | 26.8 | (1102) | 24.9 | (1013) | 30.7 | (1217) | 24.2 | (981) | 24.7 | (1075) |
45–59 years | 26.1 | (5361) | 24.2 | (996) | 24.9 | (1013) | 30.5 | (1210) | 25.9 | (1049) | 25.1 | (1093) |
≥60 years | 26.9 | (5520) | 28.6 | (1175) | 31.7 | (1289) | 11.3 | (449) | 31.7 | (1286) | 30.3 | (1321) |
Sex | ||||||||||||
Male | 48.9 | (10,056) | 49.1 | (2021) | 49.6 | (2015) | 48.5 | (1919) | 48.8 | (1980) | 48.7 | (2120) |
Female | 51.1 | (10,498) | 50.9 | (2093) | 50.4 | (2052) | 51.5 | (2041) | 51.2 | (2078) | 51.3 | (2234) |
Ethnicity2 | ||||||||||||
Majority group | 77.2 | (15,863) | 74.0 | (3045) | 78.7 | (3199) | 81.1 | (3212) | 89.2 | (3620) | 64.0 | (2787) |
Minority group | 22.8 | (4691) | 26.0 | (1069) | 21.3 | (868) | 18.9 | (749) | 10.8 | (438) | 36.0 | (1567) |
Education level3 | ||||||||||||
Low | 42.7 | (8786) | 41.8 | (1721) | 41.7 | (1696) | 22.5 | (890) | 52.0 | (2111) | 54.4 | (2369) |
Medium | 21.8 | (4487) | 32.3 | (1331) | 33.7 | (1370) | 13.5 | (534) | 19.7 | (799) | 10.4 | (453) |
High | 35.4 | (7281) | 25.8 | (1063) | 24.6 | (1001) | 64.0 | (2537) | 28.3 | (1148) | 35.2 | (1532) |
BMI | ||||||||||||
Underweight (<18.5 kg/m2) | 2.6 | (540) | 3.5 | (145) | 3.1 | (125) | 1.5 | (58) | 2.9 | (117) | 2.2 | (95) |
Normal weight (18.5–24.9 kg/m2) | 35.2 | (7226) | 33.3 | (1371) | 35.3 | (1436) | 37.7 | (1492) | 35.8 | (1451) | 33.9 | (1477) |
Overweight (25.0–29.9 kg/m2) | 28.7 | (5903) | 27.7 | (1140) | 27.2 | (1106) | 32.4 | (1283) | 27.1 | (1099) | 29.3 | (1275) |
Obesity (≥30 kg/m2) | 21.0 | (4325) | 22.8 | (938) | 22.8 | (926) | 15.6 | (618) | 18.1 | (733) | 25.5 | (1110) |
Missing | 12.4 | (2559) | 12.7 | (521) | 11.6 | (473) | 12.9 | (510) | 16.2 | (658) | 9.1 | (397) |
Income adequacy4 | ||||||||||||
Low | 29.3 | (6031) | 20.7 | (850) | 24.7 | (1005) | 50.6 | (2003) | 20.3 | (823) | 31.0 | (1351) |
High | 70.7 | (14,523) | 79.3 | (3264) | 75.3 | (3062) | 49.4 | (1958) | 79.7 | (3235) | 69.0 | (3003) |
COVID-19 illness status | ||||||||||||
No/don't know | 91.3 | (18,758) | 96.3 | (3962) | 95.4 | (3879) | 86.7 | (3435) | 89.3 | (3623) | 88.6 | (3859) |
Yes–confirmed by test | 3.4 | (690) | 1.8 | (74) | 1.3 | (53) | 5.2 | (204) | 3.6 | (145) | 4.9 | (213) |
I believe I had COVID-19, but was not tested | 5.4 | (1106) | 1.9 | (79) | 3.3 | (136) | 8.1 | (321) | 7.1 | (290) | 6.5 | (281) |
Abbreviations: COVID-19, coronavirus disease 2019.
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 the participant speaks a language besides English at home; 2) in Canada, the United Kingdom, and the United States, majority indicates the participant is White race and minority indicates the participant is of other ethnicity; and 3) in Mexico, majority indicates the participant is nonindigenous and minority indicates they are indigenous.
Participants 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) according to country-specific criteria.
Participants were asked, “thinking about your total monthly income, how difficult or easy is it for you to make ends meet?” Response options were very easy, easy, and neither easy nor difficult, which were all categorized as high income adequacy, and difficult and very difficult, which were categorized as low income adequacy.