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Table 5 Infant mortality (0–11 months)

From: Socioeconomic factors contributing to under-five mortality in sub-Saharan Africa: a decomposition analysis

    

Sex of the child

Place of residence

Mother’s education

Household wealth

Female

Urban

Primary+

Richest

n

G

mean(y)

mean

b

c

%Gini

mean

b

c

%Gini

mean

b

c

%Gini

mean

b

c

%Gini

Angola 2015–16

3514

−.047

−3.61

.49

−.31

−.31

28

.58

−.20

−.32

22

.38

−.06

−.42

6

.32

−.35

−.66

44

Benin 2011–12

3168

−.033

− 3.61

.47

−.21

−.24

19

.41

.12

−.20

0

.17

−.23

−.75

23

.34

−.35

−.63

58

Burkina Faso 2010

3824

−.035

−3.26

.49

−.12

−.27

13

.16

−.01

−.69

1

.07

−.24

−.84

13

.32

−.38

−.68

73

Burundi 2016–17

3079

−.027

− 3.51

.48

−.08

−.20

9

.10

.32

.18

6

.26

−.30

−.69

59

.33

−.18

−.42

26

Cameroon 2011

3037

−.030

−3.31

.49

−.09

−.13

6

.42

−.13

−.47

25

.46

−.23

−.53

55

.32

−.08

−.56

14

Chad 2014–15

4669

−.031

−3.11

.47

−.20

−.39

37

.21

.05

.08

1

.17

−.41

−.83

61

.33

.02

.13

1

Comoros 2012

758

−.051

−3.72

.50

−.12

−.19

6

.26

−.59

−.72

57

.35

−.36

−.49

33

.36

.32

.06

4

Congo 2011–12

2306

−.037

−3.75

.50

−.45

−.50

81

.61

.18

.08

7

.72

.04

.08

2

.33

−.21

−.21

10

Cote d’Ivoire 2011–12

2130

−.059

−3.22

.47

−.64

−.54

85

.36

−.09

−.01

0

.18

−.26

−.45

11

.34

.16

.13

4

DRCongo 2013–14

4813

−.018

−3.34

.50

−.07

−.25

13

.30

.08

−.33

0

.49

−.02

−.25

3

.33

−.26

−.67

84

Ethiopia 2016

2539

−.062

−3.48

.48

−.71

−.52

83

.12

−.18

−.12

1

.11

−.46

−.43

11

.35

.21

.16

6

Gabon 2012

1561

−.041

−3.75

.47

−.26

−.36

30

.84

.03

−.02

0

.75

−.45

−.24

52

.33

−.23

−.36

18

Gambia 2013

2077

−.036

−3.83

.51

−.15

−.20

11

.46

.30

.36

37

.32

−.43

−.33

33

.31

.18

.44

18

Ghana 2014

1447

−.022

−3.62

.47

−.08

−.29

13

.45

−.06

.04

0

.59

−.28

−.32

64

.32

.27

.22

23

Guinea 2012

1877

−.047

−3.23

.47

−.10

−.24

7

.26

.02

−.53

0

.13

−.60

−.87

43

.32

−.38

−.62

49

Kenya 2014

4637

−.025

−3.62

.49

−.21

−.32

36

.36

.29

.50

55

.61

−.17

−.08

9

.33

−.05

.17

0

Lesotho 2014

875

−.055

−3.38

.52

−.39

−.34

37

.25

−.04

−.05

0

.80

−.71

−.18

55

.30

.33

.15

8

Liberia 2013

1988

−.019

−3.47

.47

.12

.30

25

.49

.11

.09

7

.32

−.23

−.60

65

.31

.07

.09

3

Malawi 2015–16

3882

−.018

−3.54

.47

−.22

−.53

83

.14

.12

.43

11

.30

−.01

−.11

0

.33

−.11

−.12

6

Mali 2012–13

2608

−.047

−3.33

.48

−.29

−.29

26

.19

−.08

−.70

7

.10

−.16

−.62

6

.33

−.44

−.66

61

Mozambique 2011

2915

−.020

−3.3

.48

−.14

−.37

37

.28

.00

−.22

0

.17

−.29

−.83

63

.33

.02

−.07

0

Namibia 2013

1247

−.020

−3.73

.50

−.11

−.22

16

.45

−.20

−.38

44

.78

−.21

−.18

40

.29

.16

−.03

0

Niger 2012

3116

−.022

−3.46

.48

−.08

−.42

22

.12

−.52

−.88

74

.06

−.07

−.62

3

.32

.02

−.07

0

Nigeria 2013

8262

−.044

− 3.2

.50

−.24

−.22

19

.34

−.14

−.50

17

.45

−.30

−.53

51

.32

−.10

−.58

14

Rwanda 2014–15

1859

−.032

−3.9

.50

−.32

−.40

52

.17

.02

−.29

0

.36

−.15

−.40

17

.34

−.23

−.49

31

Senegal 2010–11

3076

−.031

−3.54

.47

−.19

−.31

25

.36

−.28

−.64

58

.11

−.10

−.51

5

.31

−.08

−.50

12

Sierra Leone 2013

3315

−.015

−2.93

.49

−.03

−.15

4

.26

.07

.19

7

.25

−.20

−.75

84

.34

.03

.20

4

Tanzania 2015–16

2393

−.034

−3.53

.48

−.20

−.33

27

.28

.36

.72

60

.68

.11

.14

9

.34

.03

.50

4

Togo 2013–14

1657

−.033

−3.47

.47

−.16

−.30

19

.34

−.14

−.07

3

.31

−.43

−.69

78

.32

.20

−.03

0

Uganda 2016

3663

−.039

−3.58

.49

−.31

−.37

41

.19

−.04

−.15

1

.42

−.42

−.45

57

.33

.26

.02

1

Zambia 2013–14

3057

−.021

−3.51

.47

−.22

−.53

73

.34

.00

.02

0

.51

−.15

−.26

27

.34

.06

.00

0

Zimbabwe 2015

1411

−.024

−3.36

.49

−.19

−.43

36

.27

.35

−.34

0

.85

−.14

−.09

10

.29

−.43

−.49

54

  1. G: Gini index; mean(y): mean of the predicted (ln) death rates; mean: mean of the dummy variable (coded 0/1), corresponds to the proportion of the factor in the country; b: regression coefficient from a multivariate Poisson model (in bold if significant); %Gini: relative factor’s contribution calculated with the regression-based decomposition of the Gini indexh; A few negative contributions were restricted to 0