Table 1: Descriptive characteristics of the study sample for individual Women's data by Insurance Status (n = 1308).

 

 

Insurance status

 

Variable

Total

(%)

No = 1,168

n (%)

Yes = 140

 n (%)

p-value

Age

 

 

 

 

15-24

209 (100.0)

191 (91.4)

18 (8.6)

0.696 

25-29

272 (100.0)

247 (90.8)

25 (9.2)

 

30-34

310 (100.0)

272 (87.7)

38 (12.3)

 

35-39

236 (100.0)

209 (88.6)

27 (11.4)

 

40-44

180 (100.0)

161 (89.4)

19 (10.6)

 

45-49

101 (100.0)

88 (87.1)

13 (12.9)

 

Education status

 

 

 

 

No education

777 (59.4)

739 (95.1)

38 (4.9)

< 0.0001 

Any education

531 (100.0)

429 (80.8)

102 (19.2)

 

Literacy

 

 

 

 

Cannot read at all

876 (67.0)

826 (94.3)

50 (5.7)

<.0001 

Able to read only partial

107 (8.2)

90 (84.1)

17 (15.9)

 

Able to read whole sentence

325 (24.9)

252 (77.5)

73 (22.5)

 

Wealth index

 

 

 

 

Poorest

277 (21.2)

267 (96.4)

10 (3.6)

 < 0.0001

poorer

289 (22.1)

275 (95.2)

14 (4.8)

 

Middle

319 (24.4)

287 (90.0)

32 (10.0)

 

Richer

244 (18.7)

211 (86.5)

33 (13.5)

 

Richest

179 (13.7)

128 (71.5)

51(28.5)

 

Marital status

       

Married

1308 (100.0)

1168 (89.3)

140 (10.7)

-

Ethnicity

 

 

 

 

Wolof

511 (39.1)

456 (89.2)

55 (10.3)

0.001 

Poular

355 (27.1)

319 (89.9)

36 (10.1)

 

Serer

203 (15.5)

186 (91.6)

17 (8.4)

 

Mandingue

108 (8.3)

101 (93.5)

7 (6.5)

 

Diola

49 (3.8)

35 (71.4)

14 (28.6)

 

Soninke

8 (0.61)

7 (87.5)

1 (12.5)

 

Not Senegalese

24 (1.8)

23 (95.8)

1 (4.2)

 

Other

50 (3.8)

41 (82.0)

9 (18.0)

 

Big City

 

 

 

0.036

Not a big city

707 (100.0)

643 (91.0)

64 (9.1)

 

Big city

601 (100.0)

525 (87.4)

76 (12.7)