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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)