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. Author manuscript; available in PMC: 2021 Apr 1.
Published in final edited form as: J Psychoactive Drugs. 2020 Jan 23;52(2):113–122. doi: 10.1080/02791072.2020.1718250

Table 2.

Demographic Characteristics of Respondents (NQ = 2437).

Total
(n = 2437)
% (n)
Non-Microdosers
(n = 2054)
% (n)
Microdosers
(n = 383)
% (n)
Age (mean, SD) 35.62, 14.12 33.26, 14.15
 No Response n = 750 n = 657 n = 93
Gender
 Male 50.09 (855) 47.17 (667) 64.16 (188)
 Female 48.74 (832) 51.76 (732) 34.13 (100)
 Other 0.47 (8) 0.53 (5) 1.02 (3)
 Prefer not to say 0.70 (12) 0.71 (10) 0.68 (2)
 No Response n = 730 n = 640 n = 90
Employment
 Non-Tech Industry 40.99 (698) 84.53 (590) 15.47 (108)
 Tech Industry 9.04 (154) 79.87 (123) 20.13 (31)
 Student 30.48 (519) 80.27 (427) 17.72 (92)
 Retired 6.93 (118) 79.66 (94) 20.34 (24)
 Unemployed 12.57 (214) 82.24 (176) 17.76 (38)
 No Response n = 734 n = 644 n = 90
Veteran Status
 Non-veteran 95.48 (1625) 96.03 (1355) 92.78 (270)
 Veteran 4.52 (77) 3.97 (56) 7.22 (21)
 No Response n = 735 n = 643 n = 92
Education Level
 No High School Diploma 2.17 (37) 1.91 (27) 3.44 (10)
 High School or equivalent 31.73 (541) 29.28 (414) 43.64 (127)
 Associate or Bachelor degree 42.99 (733) 43.64 (617) 39.86 (116)
 Master degree or higher 23.11 (394) 25.18 (356) 13.05 (38)
 No Response n = 732 n = 640 n = 92
Income level
 < $49,999 66.89 (1133) 64.96 (914) 75.00 (219)
 $50,000 - $99,999 21.01 (357) 21.89 (308) 16.78 (49)
 > $100,000 12.30 (209) 13.15 (185) 8.22 (24)
 No Response n = 738 n = 647 n = 91