Value |
Category |
1 |
1. bagerhat |
3 |
3. bandarban |
4 |
4. barguna |
6 |
6. barisal |
9 |
9. bhola |
10 |
10. bogra |
12 |
12. brahmanbaria |
13 |
13. chandpur |
15 |
15. chittagong |
18 |
18. chuadanga |
19 |
19. comilla |
22 |
22. cox's bazar |
26 |
26. dhaka |
27 |
27. dinajpur |
29 |
29. faridpur |
30 |
30. feni |
32 |
32. gaibandha |
33 |
33. gazipur |
35 |
35. gopalganj |
36 |
36. habiganj |
38 |
38. joypurhat |
39 |
39. jamalpur |
41 |
41. jessore |
42 |
42. jhalokati |
44 |
44. jhenaidah |
46 |
46. khagrachhari |
47 |
47. khulna |
48 |
48. kishorgonj |
49 |
49. kurigram |
50 |
50. kushtia |
51 |
51. lakshmipur |
52 |
52. lalmonirhat |
54 |
54. madaripur |
55 |
55. magura |
56 |
56. manikganj |
57 |
57. meherpur |
58 |
58. maulvibazar |
59 |
59. munshiganj |
61 |
61. mymensingh |
64 |
64. naogaon |
65 |
65. narail |
67 |
67. narayanganj |
68 |
68. narsingdi |
69 |
69. natore |
70 |
70. nawabganj |
72 |
72. netrakona |
73 |
73. nilphamari |
75 |
75. noakhali |
76 |
76. pabna |
77 |
77. panchagarh |
78 |
78. patuakhali |
79 |
79. pirojpur |
81 |
81. rajshahi |
82 |
82. rajbari |
84 |
84. rangamati |
85 |
85. rangpur |
86 |
86. shariatpur |
87 |
87. satkhira |
88 |
88. sirajganj |
89 |
89. sherpur |
90 |
90. sunamganj |
91 |
91. sylhet |
93 |
93. tangail |
94 |
94. thakurgaon |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.