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Table 4 Post-neonatal mortality (1–11 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

3069

−.042

−4.48

.50

−.10

−.26

7

.59

−.10

−.34

11

.39

−.04

−.45

4

.33

−.68

−.67

79

Benin 2011–12

2762

−.050

− 4.5

.48

−.27

−.26

14

.41

.11

−.21

0

.18

−.07

−.49

3

.34

−.87

−.66

83

Burkina Faso 2010

3264

−.036

−3.87

.50

−.05

−.24

4

.16

−.07

−.78

6

.07

−.36

−.84

16

.33

−.47

−.67

74

Burundi 2016–17

2684

−.047

−4.26

.48

−.01

−.20

0

.10

.43

−.43

0

.26

−.45

−.63

34

.33

−.67

−.66

65

Cameroon 2011

2603

−.042

−4.07

.49

−.14

−.16

7

.43

−.10

−.39

10

.47

−.49

−.53

71

.33

−.12

−.55

12

Chad 2014–15

3957

−.033

−3.77

.48

−.14

−.38

20

.21

.12

.07

1

.17

−.67

−.83

78

.33

−.01

−.11

0

Comoros 2012

658

−.093

−5

.51

.20

.15

3

.27

−.56

−.58

19

.35

−1.60

−.65

78

.36

.06

−.13

0

Congo 2011–12

2056

−.022

−4.59

.51

−.29

−.47

68

.61

−.21

−.22

28

.72

.09

.01

1

.34

−.04

−.29

4

Cote d’Ivoire 2011–12

1763

−.035

−4.06

.50

−.37

−.39

50

.36

−.07

−.36

7

.19

−.39

−.76

38

.33

−.07

−.37

6

DRCongo 2013–14

4102

−.025

−4.04

.50

.05

.14

3

.30

.26

−.25

0

.50

−.17

−.36

24

.33

−.43

−.63

73

Ethiopia 2016

2120

−.043

−4.47

.51

−.32

−.32

28

.12

−.68

−.83

35

.12

−.72

−.86

37

.35

.02

−.08

0

Gabon 2012

1352

−.029

−4.82

.48

−.33

−.37

42

.84

−.58

−.16

56

.77

−.03

−.12

2

.35

.03

.00

0

Gambia 2013

1826

−.032

−4.89

.52

−.07

−.14

3

.46

.37

.11

12

.33

−.59

−.67

85

.31

.03

.05

0

Ghana 2014

1239

−.028

−4.87

.47

−.01

−.13

1

.45

.28

.11

10

.59

−.51

−.41

89

.32

.02

.03

0

Guinea 2012

1579

−.063

−4.01

.48

−.11

−.22

4

.26

.28

−.51

0

.14

−.78

−.82

30

.32

−.94

−.64

66

Kenya 2014

4028

−.024

−4.5

.50

−.25

−.22

25

.35

.30

.30

29

.61

−.29

−.28

46

.32

−.02

−.04

0

Lesotho 2014

740

−.051

−4.29

.53

−.42

−.31

32

.26

.40

.49

23

.82

−.51

−.11

20

.31

.40

.43

24

Liberia 2013

1712

−.025

−4.21

.47

.21

.35

32

.49

.18

.01

1

.32

−.30

−.62

56

.31

−.17

−.25

12

Malawi 2015–16

3296

−.018

−4.62

.48

.00

.16

0

.14

−.15

−.82

20

.30

.02

−.05

0

.33

−.30

−.67

80

Mali 2012–13

2171

−.039

−4.33

.49

−.01

−.21

1

.20

−.43

−.79

40

.10

−.04

−.74

2

.35

−.44

−.65

58

Mozambique 2011

2474

−.031

−4.03

.49

.10

.20

8

.27

−.14

−.63

20

.18

−.19

−.74

21

.32

−.29

−.67

52

Namibia 2013

1111

−.036

−4.52

.51

.26

.30

23

.45

−.42

−.43

47

.78

−.40

−.16

30

.29

.25

−.14

0

Niger 2012

2694

−.024

−4.14

.48

.10

.37

18

.13

−.65

−.87

73

.06

.20

.10

1

.33

−.05

−.40

7

Nigeria 2013

6797

−.046

−4.07

.51

−.14

−.18

7

.35

−.06

−.47

5

.46

−.44

−.53

58

.33

−.27

−.62

30

Rwanda 2014–15

1632

−.047

−4.93

.50

−.28

−.28

16

.18

.23

−.37

0

.36

−.24

−.38

13

.35

−.77

−.66

71

Senegal 2010–11

2600

−.046

−4.66

.48

.27

.23

14

.37

−.45

−.58

44

.11

−.80

−.87

36

.32

−.08

−.48

6

Sierra Leone 2013

2753

−.019

−3.5

.49

.06

.21

10

.25

.00

−.54

0

.24

−.26

−.76

70

.33

−.08

−.55

20

Tanzania 2015–16

2038

−.006

−4.45

.49

−.02

−.17

4

.27

.02

−.29

0

.67

.07

.15

25

.32

−.11

−.60

71

Togo 2013–14

1433

−.032

−4.35

.48

.01

.17

0

.34

−.07

−.52

9

.31

−.52

−.69

81

.31

−.08

−.56

10

Uganda 2016

3089

−.055

−4.65

.50

−.33

−.26

16

.19

−.10

−.28

2

.42

−.89

−.58

82

.32

.22

−.16

0

Zambia 2013–14

2621

−.020

−4.34

.48

−.13

−.21

16

.35

.35

.30

42

.52

−.19

−.34

40

.34

−.19

−.03

2

Zimbabwe 2015

1205

−.024

−4.3

.50

−.08

−.22

9

.26

−.24

−.73

44

.85

−.18

−.15

22

.29

−.13

−.71

25

  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