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Table 2 Sample description (n = 5045)

From: Worries about inadequate medical treatment in case of a COVID-19 infection: the role of social inequalities, COVID-19 prevalence and healthcare infrastructure

Variable

Individual characteristics

% (n)

Worries

 Not concerned

59.5 (3001)

 Very or somewhat concerned

40.5 (2044)

Gender

 Male

39.1 (1971)

 Female

60.9 (3074)

Age

 Under 30 years

5.4 (272)

 30–49 years

30.3 (1527)

 50–69 years

43.6 (2197)

 70 years and older

20.8 (1049)

Migrant background

 No

84.2 (4247)

 Yes

15.8 (798)

Educational level

 Low

24.9 (1258)

 Medium

42.9 (2164)

 High

32.2 (1623)

Household income

 Lower 25%

1097 (mean) (1235)

 Middle 50%

2042 (mean) (2546)

 Upper 25%

3834 (mean) (1264)

Chronic illness

 No

59.5 (3004)

 Yes

40.5 (2041)

Subjective Health

 Very good

14.7 (743)

 Good

45.5 (2295)

 Satisfactory

29.4 (1481)

 Poor

8.6 (435)

 Bad

1.8 (91)

COVID-19 as a threat for one’s own health

 Low

73.1 (3688)

 Medium

24.2 (1221)

 High

2.7 (136)

Health insurance

 Mandatory health insurance

85.5 (4312)

 Private health insurance

14.5 (733)

Regional characteristics

Mean (min. – max.), SD

COVID-19 infections per 1000 inhabitants

0.861 (0.478–1.546), SD = 260.850

Hospital beds per 1000 inhabitants

6.1 (3.8–7.5), SD = 0.839

Free intensive care units per 100,000 inhabitants

6.0 (3.2–13.0), SD = 1.849

GDP

39,884.0 (28,993.0 – 67,017.0), SD = 9390.462

Poverty rate

6.4 (2.6–14.9), SD = 2.770

Population density

453.8 (69.1–4114.81), SD = 840.324

  1. Source: Own calculations based on SOEP-Cov, Statistische Ämter des Bundes und der Länder (2022), infas 360 GmbH (2021a, 2021b)