Table 1. Sociodemographic characteristics of the total sample, sample splits and German population.
| Specification | Total sample (%) | Split 1 (%) |
Split 2 (%) |
German population (%) |
|
|---|---|---|---|---|---|
| Gender | |||||
| Male | 47.9 | 48.8 | 46.9 | 49.1 | |
| Female | 51.7 | 50.6 | 52.9 | 50.9 | |
| Other | 0.4 | 0.6 | 0.2 | — | |
| Age in years | |||||
| 18–29 | 15.6 | 14.4 | 16.8 | 16.3 | |
| 30–39 | 14.2 | 14.2 | 14.1 | 15.5 | |
| 40–49 | 14.2 | 14.2 | 14.1 | 14.7 | |
| 50–59 | 19.5 | 20.2 | 18.7 | 19.4 | |
| 60 and older | 36.6 | 36.9 | 36.3 | 34.1 | |
| Place of residence | |||||
| South1 | 28.7 | 29.8 | 27.6 | 29.1 | |
| North2 | 16.0 | 15.8 | 16.2 | 16.1 | |
| East3 | 19.4 | 19.8 | 18.9 | 19.5 | |
| West4 | 35.9 | 34.6 | 37.3 | 35.3 | |
| Household income (EUR) | |||||
| Under 1300 | 17.9 | 17.5 | 18.3 | 18.4 | |
| 1300–2599 | 36.5 | 36.7 | 36.3 | 36.6 | |
| 2600–4499 | 28.9 | 28.3 | 29.5 | 28.7 | |
| 4500 and more | 16.7 | 17.5 | 15.8 | 16.3 | |
Total sample: n = 1.038; split 1: n = 520; split 2: n = 518. Statistisches Bundesamt Germany 2019.
1 Bavaria, Baden-Wuerttemberg.
2 Bremen, Hamburg, Lower Saxony, Schleswig-Holstein.
3 Brandenburg, Berlin, Saxony, Saxony-Anhalt, Thuringa, Mecklenburg-Western Pomerania.
4 Hesse, North Rhine-Westphalia, Rhineland-Palatinate, Saarland.
Cross-tabulation with χ2-tests were used to test for differences between split 1 and split 2; no differences were found for none of the sociodemographic characteristics (p > 0.05). The gender category ‘other’ was not included in the analysis because of the small number of cases (n = 4). Gender: χ2 (1) = 0.469; age: χ2 (4) = 1.258; place of residence: χ2 (3) = 1.081, df = 3; income: χ2 (3) = 0.694.