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Table 1 Demographic characteristics of study participants

From: Development, validation and item reduction of a food literacy questionnaire (IFLQ-19) with Australian adults

Categories (Qualtrics quotas, %) Study 1, n = 504 (%) Study 2, n = 503 (%) Study 3, n = 269 (%)
Gender
 Male (51) 243 (48) 266 (53) 156 (58)
 Female (49) 256 (51) 237 (47) 113 (42)
 Not disclosed 5 (1) 0 (0) 0 (0)
Age
 18–24 (16) 78 (15) 43 (9) 26 (10)
 25–34 (18) 91 (18) 99 (20) 50 (18)
 35–44 (17) 89 (17) 93 (18) 42 (16)
 45–54 (16) 76 (15) 88 (17) 44 (16)
 55–64 (15) 74 (15) 81 (16) 45 (17)
 65–74 (19) 69 (14) 74 (15) 44 (16)
 75–84 25 (5) 23 (4) 17 (6)
 85 +  2 (1) 2 (1) 1 (1)
Annual individual incomea
 $0-$15,599 (19) 89 (18) 94 (19) 39 (15)
 $15,600–25,999 (15) 70 (14) 62 (12) 41 (15)
 $26,000-$41,599 (16) 78 (15) 87 (17) 55 (20)
 $41,600-$64,999 (16) 89 (18) 80 (16) 43 (16)
 $65,000-$90,999 (18) 78 (15) 83 (17) 44 (16)
 $91,000-$155,999 (16) 70 (14) 77 (15) 40 (15)
 $156,000 +  30 (6) 20 (4) 07 (3)
Ancestryb
 Oceanian 362 (58) 372 (63) 193 (62)
 North-West European 147 (24) 104 (17) 58 (18)
 Southern and Eastern European 29 (4) 34 (6) 18 (6)
 North African and Middle Eastern 7 (1) 9 (1) 40 (1)
 South-East Asian 15 (2) 12 (2) 70 (2)
 North-East Asian 37 (6) 28 (4) 190 (6)
 Southern and Central Asian 11 (2) 23 (4) 90 (3)
 Peoples of the Americas 2 (1) 2 (1) 10 (1)
 Sub-Saharan African 1 (1) 4 (1) 20 (1)
 Preferred not to answer 5 (1) 3 (1) 0 (0)
State
 Queensland 96 (19) 96 (19) 51 (19)
 New South Wales 136 (27) 150 (30) 83 (31)
 Victoria 155 (31) 141 (28) 72 (27)
 South Australia 51 (10) 41 (8) 19 (7)
 Western Australia 41 (8) 41 (8) 260 (9)
 Tasmania 16 (3) 29 (6) 130 (5)
 Northern Territory 2 (1) 0 (0) 0 (0)
 Australian Capital Territory 7 (1) 5 (1) 5 (2)
Education (highest achieved)
 Primary school 92 (18) 75 (15) 35 (13)
 High school 91 (18) 94 (19) 48 (18)
 Trade or other certificate 79 (16) 87 (17) 560 (21)
 Diploma 58 (12) 56 (11) 310 (11)
 Bachelor degree 131 (26) 145 (29) 780 (29)
 Post-graduate degree 53 (10) 46 (9) 210 (8)
Current employment status
 Employed 303 (60) 286 (57) 1430 (53)
 Not employed 201 (40) 217 (43) 1260 (47)
Socio-economic advantage and disadvantagec
 1 (most disadvantaged) 41 (8) 51 (10) 270 (10)
 2 36 (7) 30 (6) 120 (4)
 3 31 (6) 44 (8) 250 (9)
 4 50 (10) 39 (8) 210 (8)
 5 47 (9) 40 (8) 220 (8)
 6 43 (9) 56 (11) 31 (12)
 7 41 (8) 41 (8) 21 (8)
 8 74 (15) 71 (14) 37 (14)
 9 88 (17) 65 (13) 36 (13)
 10 (most advantaged) 45 (9) 65 (13) 37 (14)
 Could not be categorised 8 (2) 1 (1) 0 (0)
Remoteness area indexd
 Major cities of Australia 377 (69) 391 (68) 224 (71)
 Inner regional Australia 113 (21) 134 (23) 69 (22)
 Outer regional Australia 45 (8) 43 (7) 16 (5)
 Remote Australia 5 (1) 4 (1) 2 (1)
 Very remote Australia 3 (1) 3 (1) 1 (1)
  1. aAnnual individual income brackets were determined by Qualtrics, closest to the Australian Bureau of Statistics (ABS) classification [41]
  2. bAustralian Bureau of Statistics (ABS) standard classification for cultural and ethnic groups (ASCCEG) [46]
  3. cAustralian Bureau of Statistics (ABS) postal area code by indexes for Australia (SEIFA) [40]. An area with a high score on this index has a relatively high incidence of advantage and a relatively low incidence of disadvantage. Eight postcodes were not available in the SEIFA database
  4. dAustralian Bureau of Statistics (ABS) postal area code by remoteness area [47]. Some postcodes covered more than one category