Value | Category | Cases | |
---|---|---|---|
1 | Bagerhat | 0 |
0%
|
2 | Bandarban | 1 |
0.2%
|
3 | Barguna | 0 |
0%
|
4 | Barisal | 0 |
0%
|
5 | Bhola | 0 |
0%
|
6 | Bogra | 79 |
16.7%
|
7 | Brahamanbaria | 3 |
0.6%
|
8 | Chandpur | 1 |
0.2%
|
9 | Chittagong | 10 |
2.1%
|
10 | Chuadanga | 0 |
0%
|
11 | Comilla | 31 |
6.6%
|
12 | Cox'S Bazar | 0 |
0%
|
13 | Dhaka | 116 |
24.5%
|
14 | Dinajpur | 23 |
4.9%
|
15 | Faridpur | 0 |
0%
|
16 | Feni | 12 |
2.5%
|
17 | Gaibandha | 10 |
2.1%
|
18 | Gazipur | 32 |
6.8%
|
19 | Gopalganj | 1 |
0.2%
|
20 | Habiganj | 0 |
0%
|
21 | Joypurhat | 18 |
3.8%
|
22 | Jamalpur | 10 |
2.1%
|
23 | Jessore | 0 |
0%
|
24 | Jhalokati | 0 |
0%
|
25 | Jhenaidah | 0 |
0%
|
26 | Khagrachhari | 1 |
0.2%
|
27 | Khulna | 0 |
0%
|
28 | Kishoreganj | 4 |
0.8%
|
29 | Kurigram | 0 |
0%
|
30 | Kushtia | 0 |
0%
|
31 | Lakshmipur | 1 |
0.2%
|
32 | Lalmonirhat | 2 |
0.4%
|
33 | Madaripur | 0 |
0%
|
34 | Magura | 0 |
0%
|
35 | Manikganj | 5 |
1.1%
|
36 | Meherpur | 0 |
0%
|
37 | Maulvibazar | 2 |
0.4%
|
38 | Munshiganj | 15 |
3.2%
|
39 | Mymensingh | 1 |
0.2%
|
40 | Naogaon | 6 |
1.3%
|
41 | Narail | 0 |
0%
|
42 | Narayanganj | 7 |
1.5%
|
43 | Narsingdi | 2 |
0.4%
|
44 | Natore | 2 |
0.4%
|
45 | Nawabganj | 0 |
0%
|
46 | Netrakona | 1 |
0.2%
|
47 | Nilphamari | 0 |
0%
|
48 | Noakhali | 5 |
1.1%
|
49 | Pabna | 2 |
0.4%
|
50 | Panchagarh | 1 |
0.2%
|
51 | Patuakhali | 0 |
0%
|
52 | Pirojpur | 0 |
0%
|
53 | Rajshahi | 0 |
0%
|
54 | Rajbari | 2 |
0.4%
|
55 | Rangamati | 0 |
0%
|
56 | Rangpur | 11 |
2.3%
|
57 | Shariatpur | 0 |
0%
|
58 | Satkhira | 0 |
0%
|
59 | Sirajganj | 7 |
1.5%
|
60 | Sherpur | 1 |
0.2%
|
61 | Sunamganj | 0 |
0%
|
62 | Sylhet | 12 |
2.5%
|
63 | Tangail | 35 |
7.4%
|
64 | Thakurgaon | 1 |
0.2%
|
Sysmiss | 5775 |