| 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.