Table 1 Sociodemographic characteristics of the sample
N = 445 | ||
|---|---|---|
n | % | |
Gender identity | ||
Female (cisgender) | 334 | 75.06 |
Male (cisgender) | 88 | 19.78 |
Female (transgender) | 1 | 0.22 |
Male (transgender) | 5 | 1.12 |
Non-binary | 7 | 1.57 |
Agender | 5 | 1.12 |
Bigender | 1 | 0.22 |
Did not want to indicate their gender | 4 | 0.90 |
Highest education level | ||
No degree | 3 | 0.67 |
Still in school | 8 | 1.80 |
Graduated after 9 years of education | 17 | 3.82 |
Graduated after 10 years of education | 42 | 9.44 |
University entrance level degree | 169 | 37.98 |
Completed apprenticeship | 50 | 11.24 |
Bachelor’s degree | 50 | 11.24 |
Master’s degree/diploma | 78 | 17.53 |
Master craftsman | 6 | 1.35 |
PhD | 17 | 3.82 |
Did not want to indicate their educational level | 5 | 1.12 |
Nationality | ||
German | 427 | 95.96 |
Other | 18 | 4.04 |
Employment | ||
Unemployed | 10 | 2.25 |
Pupil | 10 | 2.25 |
Apprenticeship | 16 | 3.60 |
Student | 112 | 25.17 |
Employee | 180 | 40.45 |
Self-employed | 21 | 4.72 |
Civil servant | 10 | 2.25 |
On long-term sick leave | 33 | 7.42 |
Retired | 30 | 6.74 |
Other | 15 | 3.37 |
Did not want to indicate their employment | 8 | 1.80 |
Migration background | ||
No migration background | 374 | 84.04 |
First-generation migrant | 9 | 2.02 |
Second-generation migrant | 42 | 9.44 |
Third-generation migrant | 15 | 3.37 |
Did not want to indicate | 5 | 1.12 |
Language level (German) | ||
Native | 431 | 96.85 |
Fluent | 7 | 1.57 |
Very good | 4 | 0.90 |
Good | 3 | 0.67 |