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Table 3 Factors used in principle components analysis to define socioeconomic quartiles among 530 community survey participants in eastern Afghanistan

From: Towards a strategy for malaria in pregnancy in Afghanistan: analysis of clinical realities and women’s perceptions of malaria and anaemia

Socioeconomic variables

Socioeconomic quartile, n (%)

1. Poorest (N = 133)

2. Poor (N = 132)

3. Less poor (N = 133)

4. Least poor (N = 132)

Education

 None

128 (30.2)

109 (25.8)

100 (23.6)

87 (20.5)

 Religious/informal

3 (5.4)

15 (26.8)

18 (32.1)

20 (35.8)

 Primary-school

2 (9.1)

6 (27.3)

3 (13.6)

11 (50.0)

 Middle-school

0 (0)

1 (8.3)

4 (33.3)

7 (58.3)

 High-school

0 (0)

1 (6.7)

8 (53.3)

6 (40.0)

 University/technical

0 (0)

0 (0)

0 (0)

1 (100)

Primary earner’s employment

 Not working

2 (40.0)

2 (40.0)

1 (20.0)

0 (0)

 Manual labour

70 (37.6)

46 (24.7)

43 (23.1)

27 (14.5)

 Farming

35 (22.0)

48 (30.2)

34 (21.4)

42 (26.4)

 Trade/market

14 (18.0)

22 (28.2)

20 (25.6)

22 (28.2)

 Driver

8 (18.1)

10 (22.7)

11 (25.0)

15 (34.1)

 Office/similar

4 (7.0)

4 (7.0)

24 (41.4)

26 (44.9)

Household assets

 Guestroom

28 (9.3)

70 (23.3)

91 (30.2)

112 (37.2)

 Electricity

11 (7.4)

29 (19.7)

43 (29.3)

64 (43.5)

 Land ownership

33 (13.0)

64 (25.1)

61 (24.0)

97 (38.0)

 Car/truck

0 (0)

2 (4.0)

12 (24.0)

36 (72.0)

 Radio/music-player

5 (4.2)

15 (12.7)

30 (25.4)

68 (57.6)

 Rug

12 (6.6)

33 (18.2)

60 (33.2)

76 (42.0)

 Curtains

18 (7.1)

57 (22.4)

71 (28.0)

108 (42.5)

 Bicycle

25 (12.1)

38 (18.4)

60 (29.0)

84 (40.6)

 Pressure-cooker

27 (8.3)

79 (24.2)

101 (31.0)

119 (36.5)

 ITNs

9 (4.5)

31 (15.6)

65 (32.7)

94 (47.2)