Value | Category | Cases | |
---|---|---|---|
1 | Taplejung | 6 |
0.6%
|
2 | Panchthar | 0 |
0%
|
3 | Ilam | 17 |
1.8%
|
4 | Jhapa | 18 |
1.9%
|
5 | Morang | 27 |
2.9%
|
6 | Sunsari | 13 |
1.4%
|
7 | Dhankuta | 13 |
1.4%
|
8 | Tehrathum | 0 |
0%
|
9 | Sankhuwasabha | 0 |
0%
|
10 | Bhojpur | 13 |
1.4%
|
11 | Solukhumbu | 11 |
1.2%
|
12 | Okhaldhunga | 6 |
0.6%
|
13 | Khotang | 13 |
1.4%
|
14 | Udayapur | 20 |
2.1%
|
15 | Saptari | 15 |
1.6%
|
16 | Siraha | 0 |
0%
|
17 | Dhanusha | 19 |
2%
|
18 | Mahottari | 22 |
2.3%
|
19 | Sarlahi | 30 |
3.2%
|
20 | Sindhuli | 15 |
1.6%
|
21 | Ramechhap | 0 |
0%
|
22 | Dolakha | 8 |
0.9%
|
23 | Sindhupalchok | 26 |
2.8%
|
24 | Kabhrepalanchok | 22 |
2.3%
|
25 | Lalitpur | 0 |
0%
|
26 | Bhaktapur | 0 |
0%
|
27 | Kathmandu | 0 |
0%
|
28 | Nuwakot | 21 |
2.2%
|
29 | Rasuwa | 0 |
0%
|
30 | Dhading | 26 |
2.8%
|
31 | Makwanpur | 24 |
2.6%
|
32 | Rautahat | 0 |
0%
|
33 | Bara | 16 |
1.7%
|
34 | Parsa | 14 |
1.5%
|
35 | Chitwan | 0 |
0%
|
36 | Gorkha | 14 |
1.5%
|
37 | Lamjung | 17 |
1.8%
|
38 | Tanahun | 23 |
2.5%
|
39 | Syangja | 13 |
1.4%
|
40 | Kaski | 0 |
0%
|
41 | Manang | 0 |
0%
|
42 | Mustang | 0 |
0%
|
43 | Myagdi | 9 |
1%
|
44 | Parbat | 0 |
0%
|
45 | Baglung | 14 |
1.5%
|
46 | Gulmi | 24 |
2.6%
|
47 | Palpa | 11 |
1.2%
|
48 | Nawalparasi | 38 |
4.1%
|
49 | Rupandehi | 38 |
4.1%
|
50 | Kapilbastu | 0 |
0%
|
51 | Arghakhanchi | 0 |
0%
|
52 | Pyuthan | 0 |
0%
|
53 | Rolpa | 11 |
1.2%
|
54 | Rukum | 13 |
1.4%
|
55 | Salyan | 0 |
0%
|
56 | Dang | 35 |
3.7%
|
57 | Banke | 28 |
3%
|
58 | Bardiya | 0 |
0%
|
59 | Surkhet | 31 |
3.3%
|
60 | Dailekh | 22 |
2.3%
|
61 | Jajarkot | 9 |
1%
|
62 | Dolpa | 0 |
0%
|
63 | Jumla | 4 |
0.4%
|
64 | Kalikot | 8 |
0.9%
|
65 | Mugu | 0 |
0%
|
66 | Humla | 0 |
0%
|
67 | Bajura | 13 |
1.4%
|
68 | Bajhang | 23 |
2.5%
|
69 | Achham | 28 |
3%
|
70 | Doti | 19 |
2%
|
71 | Kailali | 40 |
4.3%
|
72 | Kanchanpur | 0 |
0%
|
73 | Dadeldhura | 0 |
0%
|
74 | Baitadi | 23 |
2.5%
|
75 | Darchula | 14 |
1.5%
|