Table 1.
Participant Demographic Data (N = 66)
Variable | Category | n | % |
---|---|---|---|
Gender | Female (including trans women) | 44 | 66.7 |
Male (including trans men) | 10 | 15.2 | |
Nonbinary | 12 | 18.2 | |
Age, years | 18–25 | 6 | 9.1 |
26–35 | 18 | 27.3 | |
36–45 | 20 | 30.3 | |
46–55 | 15 | 22.7 | |
56–65 | 6 | 9.1 | |
66–75 | 1 | 1.5 | |
Location | United Kingdom | 41 | 62.1 |
United States of America | 13 | 19.7 | |
Australia | 2 | 3.0 | |
Germany | 2 | 3.0 | |
Ireland | 2 | 3.0 | |
Malta | 1 | 1.5 | |
Sweden | 1 | 1.5 | |
Rather not say | 4 | 6.1 | |
Autism diagnosis | Clinically diagnosed | 51 | 77.3 |
Self-diagnosed | 8 | 12.1 | |
In the process of seeking diagnosis | 7 | 10.6 | |
Employment status | Currently employed | 37 | 56.1 |
Self-employed | 10 | 15.1 | |
Not currently employed | 19 | 28.8 | |
Payment status (for those in employment) | Paid | 44 | 93.6 |
Unpaid | 3 | 6.4 | |
Most common current employment sectorsa | Education | 15 | 22.7 |
Research | 6 | 9.1 | |
Administration | 5 | 7.6 | |
Medicine | 4 | 6.1 | |
IT | 4 | 6.1 | |
Care/support work | 3 | 4.5 | |
Manual labor | 3 | 4.5 | |
Animal care | 3 | 4.5 | |
Retail | 2 | 3.0 | |
Finance | 2 | 3.0 | |
Psychology | 2 | 3.0 | |
Photography | 2 | 3.0 | |
Hospitality | 2 | 3.0 | |
Childcare | 1 | 1.5 | |
Police/security | 1 | 1.5 | |
Most common previous employment sectorsa | Education | 19 | 28.8 |
Customer service | 19 | 28.8 | |
Retail | 17 | 25.8 | |
Administration | 10 | 15.2 | |
Civil service | 10 | 15.2 | |
Research | 9 | 13.6 | |
Management | 9 | 13.6 | |
Finance | 7 | 10.6 | |
Medicine | 7 | 10.6 | |
Library assistant | 7 | 10.6 | |
Childcare | 6 | 9.1 | |
Care/support work | 5 | 7.6 | |
Manual labor | 5 | 7.6 | |
Police/security | 4 | 6.1 | |
Management | 4 | 6.1 | |
Animal care | 3 | 4.5 | |
Psychology | 3 | 4.5 | |
Photography | 3 | 4.5 | |
Library assistant | 3 | 4.5 | |
Journalism | 2 | 3.0 | |
Hospitality | 2 | 3.0 | |
Information Technology (IT) | 2 | 3.0 | |
Journalism | 2 | 3.0 |
Participants could report more than one sector, therefore, percentages total over 100.