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Table 1 Characteristics of the study population

From: Explaining external economic support inequality among households affected by HIV/AIDS in Tanzania: an Oaxaca Blinder decomposition analysis

Variables

Entire population (N = 12,008)

Received economic support (N = 1309)

Did not receive economic support (N = 10,699)

Test of independence

p-value

HIV (%)

 HIV negative

84

83

84

0.01

 HIV positive

7

9

7

 Not tested or no definite outcome

9

8

9

Marital status (%)

 Married

59

46

61

0.00

 Living together

15

10

15

 Widowed

12

27

11

 Divorced or Separated

14

17

13

Education (%)

 No education

20

32

19

0.00

 Primary

65

59

65

0.00

 Secondary

14

9

15

 More than secondary

1

0

1

External economic support (%)

11

 Cash transfer

1

 Assistance with school fees

1

 Material support for education

1

Wealth (mean)

−0.08

−0.43

− 0.04

0.00 a

 Q1 (%)

23

36

21

 

 Q2 (%)

22

26

22

0.00

 Q3 (%)

23

21

23

 Q4 (%)

18

11

19

 Q5 (%)

14

6

15

Gender (%)

 Male

72

56

74

0.00

 Female

28

44

26

Area of residence (%)

 Rural

32

26

32

0.00

 Urban

68

74

68

Number of children (mean)

2.5

2.3

2.5

0.014 a

Age – mean (SD)

45 (15)

53 (16)

44 (15)

0.00 a

  1. Note: a stand as the p-value of the Student test. SD: Standard Deviation. Source: Authors calculation based on Tanzania HIV Impact Survey 2016–2017 (THIS) - 2016-2017
  2. Reading: The table presents the bivariate statistical test per variable, the proportion of households per subgroup (entire population; received economic support; and did not receive economic support). The sum of percentage per variable and subgroup is equal to 100%. The last column represents a bivariate test (p-value) among each variable and economic support. “p-value” of the chi2 test and test of difference of mean (between groups) indicated whether both variables were associated or not. However, multivariate analysis (logit model) is more robust to confirm this association