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Table 2 Health insurance status and socio-demographic characteristics of the study population

From: Impact of health insurance status among migrants from sub-Saharan Africa on access to health care and HIV testing in Germany: a participatory cross-sectional survey

Insurance status

Health insurance card

Medical treatment voucher

No health insurance

I do not know

p-value

Age group

n (%)

n (%)

n (%)

n (%)

18–25 years

224 (67.3%)

63 (18.9%)

34 (10.2%)

12 (3.6%)

p < 0.001

26–35 years

490 (79.8%)

82 (13.4%)

35 (5.7%)

7 (1.1%)

36–45 years

392 (89.3%)

21 (4.8%)

21 (4.8%)

5 (1.1%)

≥ 46 years

336 (93.9%)

4 (1.1%)

16 (4.5%)

2 (0.6%)

Level of education

 Primary/ Secondary School

328 (70.1%)

87 (18.6%)

40 (8.5%)

13 (2.8%)

p < 0.001

 High School/ Vocational School

541 (87.4%)

52 (8.4%)

21 (3.4%)

5 (0.8%)

 University/ College

587 (90.7%)

11 (1.7%)

44 (6.8%)

5 (0.8%)

 No certificate

93 (73.8%)

22 (17.5%)

8 (6.3%)

3 (2.4%)

 Other

11 (64.7%)

4 (23.5%)

1 (5.9%)

1 (5.9%)

Level of German language

 Mother tongue

49 (95.1%)

1 (2.4%)

1 (2.4%)

0 (0.0%)

p < 0.001

 Very good

421 (96.6%)

4 (0.9%)

10 (2.3%)

1 (0.2%)

 Good

468 (94.9%)

14 (2.8%)

8 (1.6%)

3 (0.6%)

 Satisfactory

358 (86.7%)

38 (9.2%)

13 (3.1%)

4 (1.0%)

 Little

228 (66.3%)

72 (20.9%)

37 (10.8%)

7 (2.0%)

 None

43 (28.9%)

50 (33.6%)

44 (29.5%)

12 (8.1%)

Religion

 Christians

1113 (85.0%)

108 (8.2%)

77 (5.9%)

12 (0.9%)

p = 0.001

 Muslim

344 (77.0%)

58 (13.0%)

33 (7.4%)

12 (2.7%)

 No or other religion

97 (85.1%)

10 (8.8%)

4 (3.5%)

3 (2.6%)

Monthly NET income

 I do not want to answer

305 (84.5%)

23 (6.4%)

27 (7.5%)

6 (1.7%)

p < 0.001

 < 500€

161 (66.0%)

64 (26.2%)

14 (5.7%)

5 (2.0%)

 500 – <  1000 €

333 (95.1%)

9 (2.6%)

7 (2.0%)

1 (0.3%)

 1000 – <  2000 €

433 (98.2%)

3 (0.7%)

4 (0.9%)

1 (0.2%)

 ≥ 2000 €

111 (94.9%)

2 (1.7%)

4 (3.4%)

0 (0.0%)

 No income

157 (58.1%)

52 (19.3%)

50 (18.5%)

11 (4.1%)

Region of birth

 Western Africa

815 (80.5%)

109 (10.8%)

69 (6.8%)

20 (2.0%)

p = 0.051

 Central Africa

389 (86.3%)

39 (8.6%)

22 (4.9%)

1 (0.2%)

 Eastern Africa

209 (83.9%)

24 (9.6%)

10 (4.0%)

6 (2.4%)

 Southern Africa

94 (90.4%)

4 (3.8%)

6 (5.8%)

0 (0.0%)