Skip to main content

Journal of Population Sciences

Table 1 Average excess of births in each day of the months, Italy 1999–2015

From: One day is not as good as another…at least not across the entire territory of Italy: an analysis of the differences in the daily distribution of births across Italian macro-regions, 1999–2016

Day

Month

1

2

3

4

5

6

7

8

9

10

11

12

1

− 29.11

− 0.44

3.20

− 8.04

− 24.69

− 1.98

− 3.23

1.45

− 7.31

6.69

− 22.59

3.39

2

0.80

0.66

3.34

0.35

− 0.89

− 21.37

− 1.95

2.32

− 5.01

5.32

− 15.96

2.38

3

8.67

− 0.17

4.42

0.61

3.35

− 2.16

− 1.94

3.01

− 3.36

4.69

5.53

5.06

4

7.24

0.44

2.87

− 0.66

3.40

0.30

− 1.98

2.94

− 4.97

6.00

6.88

3.45

5

5.61

− 0.78

3.38

− 4.16

4.14

− 0.34

− 2.01

4.10

− 4.85

3.81

5.89

3.11

6

− 24.08

− 0.03

2.18

− 4.56

2.01

− 0.38

− 2.33

5.16

− 4.41

2.89

5.83

1.86

7

5.49

− 0.10

2.82

0.08

3.21

− 2.06

− 0.49

3.99

− 3.29

2.36

2.81

1.12

8

4.72

0.03

0.51

0.40

3.84

− 0.35

1.38

4.38

− 4.71

1.91

2.78

− 24.23

9

2.33

0.01

− 1.55

− 4.14

0.21

− 1.50

− 1.06

3.56

− 0.57

1.94

3.71

− 0.30

10

3.80

− 0.31

0.87

− 0.81

2.62

− 1.73

0.36

4.71

− 1.82

0.80

2.73

5.49

11

2.59

1.32

0.77

− 1.63

2.01

0.75

− 1.38

2.83

− 1.61

0.47

3.75

2.35

12

1.53

− 0.70

2.18

− 1.09

3.07

0.49

0.35

2.43

− 1.43

− 0.74

4.12

2.27

13

0.54

− 2.45

0.28

− 5.48

1.20

− 2.43

− 1.31

1.52

− 1.84

− 2.46

1.48

0.97

14

3.16

3.40

− 0.69

− 1.11

2.13

0.25

1.24

− 4.09

− 0.41

− 2.71

1.20

1.21

15

4.08

0.61

1.83

1.27

3.79

1.22

− 0.28

− 26.60

2.73

1.71

1.63

4.11

16

1.63

0.44

− 0.66

0.48

0.40

1.82

2.12

− 5.82

1.80

− 1.39

1.67

4.16

17

− 2.13

− 4.06

− 6.39

− 5.70

− 3.05

− 3.73

− 2.82

− 4.83

− 1.26

− 7.84

− 3.31

1.08

18

0.80

2.39

0.92

2.27

1.64

3.88

0.51

2.77

4.09

− 0.84

1.29

10.68

19

1.54

0.50

3.31

2.54

2.95

0.79

0.69

1.02

3.39

− 3.90

0.45

9.06

20

2.53

0.06

0.43

4.18

1.01

1.49

1.47

3.44

4.76

− 1.93

1.27

12.32

21

3.20

0.93

0.27

− 1.16

0.03

2.17

0.36

0.90

3.25

− 1.93

− 0.38

7.69

22

1.24

0.01

− 0.78

1.39

− 0.09

0.57

− 0.57

− 1.32

2.96

− 2.14

− 0.90

3.75

23

0.56

− 0.16

− 0.78

5.78

− 1.71

2.79

2.73

− 0.93

4.90

− 2.25

− 1.02

− 0.40

24

1.28

− 0.75

− 3.28

6.31

− 0.55

3.25

1.22

− 0.64

5.59

− 4.69

0.32

− 13.06

25

− 0.19

0.52

− 2.05

− 22.07

− 0.64

4.32

0.58

− 0.86

4.40

− 2.13

− 0.81

− 33.33

26

− 1.16

− 0.65

− 0.88

3.77

− 1.18

3.84

1.48

− 0.77

2.25

− 2.62

− 0.20

− 23.75

27

0.11

− 1.91

− 1.56

7.90

− 1.68

2.61

1.28

− 0.58

1.86

− 1.55

− 0.79

15.86

28

− 0.24

− 0.43

− 4.55

7.39

− 0.05

3.15

0.97

0.86

0.53

− 0.52

− 2.27

13.18

29

− 1.47

− 18.04

− 4.77

6.42

− 1.26

0.70

1.40

− 2.34

2.77

0.01

− 2.49

2.87

30

− 2.71

 

− 2.39

9.46

− 2.41

3.63

2.53

− 0.36

1.57

1.29

− 2.62

− 4.26

31

− 2.37

 

− 3.25

 

− 2.80

 

0.71

− 2.26

 

− 0.23

 

− 18.09

  1. Notes: The minimum for each month are in bold, and the maximum are italics; since the last months of the 2016 were drop from the analysis, to calculate the mean using the same number of years for each combination day-month, we limited this table to the period 1999–2015