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Table 4 Estimated prevalence (standard errors) of stunting, wasting and underweight at children sex, age-group, residence, and division level as well as for cross-classified domains of division

From: Prevalence of child undernutrition measures and their spatio-demographic inequalities in Bangladesh: an application of multilevel Bayesian modelling

Variable

Category

Barishal

Chattogram

Dhaka

Mymensingh

Khulna

Rajshahi

Rangpur

Sylhet

Total

Stunting

Sex

Female

31.9 (1.3)

27.7 (0.9)

29.0 (1.0)

34.1 (1.6)

22.1 (1.0)

28.2 (1.2)

27.9 (1.2)

38.7 (1.5)

29.1 (0.5)

 

Male

32.1 (1.3)

29.1 (0.9)

29.3 (0.9)

34.6 (1.6)

22.4 (0.9)

27.5 (1.1)

27.6 (1.1)

38.4 (1.5)

29.4 (0.4)

Age

0-11

16.6 (1.8)

17.4 (1.3)

20.4 (1.4)

25.9 (2.3)

14.6 (1.3)

18.6 (1.5)

21.1 (2.1)

24.6 (2.1)

19.6 (0.6)

 

12-23

33.5 (2.0)

29.5 (1.5)

33.0 (1.7)

38.6 (2.7)

23.1 (1.5)

29.3 (1.8)

29.7 (1.8)

40.4 (2.5)

31.4 (0.8)

 

24-35

42.4 (2.1)

34.1 (1.5)

37.0 (1.6)

39.5 (2.6)

27.9 (1.6)

35.0 (1.9)

32.9 (1.8)

45.2 (2.4)

35.9 (0.8)

 

36-47

38.4 (2.0)

32.4 (1.4)

31.5 (1.4)

37.6 (2.5)

25.1 (1.4)

31.0 (1.7)

31.1 (1.7)

44.7 (2.4)

32.8 (0.7)

 

48-59

27.1 (2.0)

28.2 (1.4)

23.9 (1.4)

31.8 (2.4)

20.3 (1.4)

25.7 (1.7)

24.3 (1.6)

38.5 (2.4)

26.6 (0.7)

Residence

Rural

32.6 (1.1)

29.3 (0.8)

28.2 (0.8)

35.3 (1.4)

23.0 (0.9)

28.6 (1.0)

28.4 (1.0)

39.2 (1.3)

29.7 (0.4)

 

Urban

28.5 (2.2)

25.2 (1.4)

31.1 (1.4)

28.8 (2.9)

18.6 (1.3)

24.4 (1.7)

23.4 (1.5)

34.5 (2.9)

27.4 (0.7)

Total

32.0 (1.1)

28.4 (0.7)

29.1 (0.8)

34.4 (1.3)

22.3 (0.8)

27.8 (0.9)

27.7 (0.9)

38.5 (1.2)

29.3 (0.3)

Underweight

Sex

Female

25.8 (1.2)

23.9 (0.8)

20.0 (0.8)

25.9 (1.5)

20.5 (0.9)

25.0 (1.1)

24.3 (1.1)

34.3 (1.4)

23.9 (0.4)

 

Male

25.9 (1.2)

23.6 (0.8)

20.4 (0.8)

26.6 (1.5)

20.0 (0.9)

23.9 (1.1)

23.0 (1.0)

32.0 (1.4)

23.5 (0.4)

Age

0-11

18.4 (1.7)

15.8 (1.2)

17.6 (1.2)

18.4 (2.0)

14.2 (1.3)

18.7 (1.5)

17.1 (1.4)

25.8 (1.9)

17.7 (0.6)

 

12-23

24.0 (1.8)

23.4 (1.3)

20.0 (1.3)

24.7 (2.3)

18.3 (1.3)

23.0 (1.7)

23.6 (1.6)

32.5 (2.2)

22.8 (0.7)

 

24-35

30.4 (1.9)

26.2 (1.3)

22.5 (1.2)

28.4 (2.3)

23.0 (1.4)

26.9 (1.7)

26.4 (1.6)

38.2 (2.2)

26.4 (0.7)

 

36-47

28.3 (1.8)

25.5 (1.3)

20.5 (1.2)

30.8 (2.3)

23.0 (1.4)

26.5 (1.6)

25.4 (1.5)

35.3 (2.1)

25.5 (0.6)

 

48-59

27.3 (1.9)

27.7 (1.4)

20.5 (1.2)

29.6 (2.2)

22.4 (1.4)

26.6 (1.6)

25.8 (1.6)

34.4 (2.1)

25.8 (0.7)

Residence

Rural

26.2 (1.1)

24.3 (0.7)

21.7 (0.7)

27.2 (1.3)

20.9 (0.8)

25.4 (1.0)

24.3 (0.9)

33.7 (1.2)

24.7 (0.3)

 

Urban

23.8 (2.2)

21.7 (1.3)

17.3 (1.1)

20.3 (2.4)

16.9 (1.3)

19.8 (1.6)

19.0 (1.5)

29.8 (2.9)

19.7 (0.6)

Total

25.8 (1.0)

23.8 (0.6)

20.2 (0.6)

26.3 (1.2)

20.2 (0.7)

24.4 (0.9)

23.6 (0.8)

33.1 (1.2)

23.7 (0.3)

Wasting

Sex

Female

10.5 (0.8)

10.1 (0.6)

8.4 (0.5)

9.5 (0.9)

9.0 (0.6)

8.8 (0.7)

10.5 (0.7)

10.9 (0.9)

9.5 (0.3)

 

Male

11.7 (0.8)

11.0 (0.6)

9.5 (0.6)

11.1 (0.9)

10.7 (0.7)

10.7 (0.7)

11.4 (0.7)

12.1 (0.9)

10.8 (0.3)

Age

0-11

11.6 (1.4)

11.0 (0.9)

10.4 (1.0)

10.3 (1.4)

9.3 (1.0)

8.7 (1.0)

8.4 (1.0)

12.0 (1.4)

10.2 (0.5)

 

12-23

12.7 (1.3)

12.8 (1.0)

9.4 (0.9)

8.3 (1.3)

10.1 (1.0)

10.5 (1.2)

12.6 (1.3)

13.8 (1.6)

11.1 (0.5)

 

24-35

10.5 (1.2)

8.7 (0.8)

8.3 (0.8)

10.9 (1.5)

9.5 (1.0)

9.3 (1.0)

11.7 (1.1)

11.1 (1.4)

9.5 (0.4)

 

36-47

9.2 (1.1)

8.6 (0.8)

7.2 (0.7)

10.9 (1.4)

9.6 (0.9)

9.2 (1.0)

10.5 (1.0)

9.7 (1.2)

9.0 (0.4)

 

48-59

11.7 (1.4)

11.8 (1.0)

9.7 (1.0)

11.1 (1.5)

10.8 (1.1)

11.3 (1.2)

12.1 (1.2)

11.5 (1.5)

11.1 (0.5)

Residence

Rural

11.2 (0.7)

11.0 (0.5)

9.4 (0.5)

10.6 (0.8)

10.2 (0.6)

10.2 (0.6)

11.5 (0.7)

11.9 (0.8)

10.6 (0.2)

 

Urban

10.5 (1.2)

8.8 (0.8)

8.1 (0.8)

8.2 (1.0)

8.4 (0.8)

8.5 (0.9)

7.9 (0.8)

9.8 (1.4)

8.5 (0.4)

Total

11.1 (0.7)

10.6 (0.5)

9.0 (0.4)

10.3 (0.8)

9.8 (0.5)

9.9 (0.6)

11.0 (0.6)

11.6 (0.8)

10.2 (0.2)