Value | Category | Cases | |
---|---|---|---|
0 | 1 |
1.1%
|
|
1 | TAPLEJUN | 1 |
1.1%
|
2 | PANCHTHA | 2 |
2.2%
|
3 | ILAM | 2 |
2.2%
|
4 | JHAPA | 8 |
8.8%
|
5 | MORANG | 1 |
1.1%
|
6 | SUNSARI | 3 |
3.3%
|
7 | DHANKUTA | 3 |
3.3%
|
8 | TEHRATHU | 1 |
1.1%
|
9 | SANKHUWA | 0 |
0%
|
10 | BHOJPUR | 1 |
1.1%
|
11 | SOLUKHUM | 0 |
0%
|
12 | OKHALDHU | 1 |
1.1%
|
13 | KHOTANG | 0 |
0%
|
14 | UDAYAPUR | 5 |
5.5%
|
15 | SAPTARI | 0 |
0%
|
16 | SIRAHA | 1 |
1.1%
|
17 | DHANUSHA | 0 |
0%
|
18 | MAHOTTAR | 0 |
0%
|
19 | SARLAHI | 0 |
0%
|
20 | SINDHULI | 1 |
1.1%
|
21 | RAMECHHA | 0 |
0%
|
22 | DOLAKHA | 2 |
2.2%
|
23 | SINDHUPA | 3 |
3.3%
|
24 | KAVREPAL | 1 |
1.1%
|
25 | LALITPUR | 1 |
1.1%
|
26 | BHAKTAPU | 0 |
0%
|
27 | KATHMAND | 1 |
1.1%
|
28 | NUWAKOT | 0 |
0%
|
29 | RASUWA | 0 |
0%
|
30 | DHADING | 4 |
4.4%
|
31 | MAKWANPU | 3 |
3.3%
|
32 | RAUTAHAT | 0 |
0%
|
33 | BARA | 0 |
0%
|
34 | PARSA | 0 |
0%
|
35 | 1 |
1.1%
|
|
36 | GORKHA | 3 |
3.3%
|
37 | LAMJUNG | 1 |
1.1%
|
38 | TANAHU | 1 |
1.1%
|
39 | SYANGJA | 0 |
0%
|
40 | CHITWAN | 1 |
1.1%
|
41 | MANANG | 0 |
0%
|
42 | MASTANG | 0 |
0%
|
43 | MYAGDI | 0 |
0%
|
44 | PARBAT | 1 |
1.1%
|
45 | BAGLUNG | 1 |
1.1%
|
46 | GULMI | 1 |
1.1%
|
47 | PALPA | 2 |
2.2%
|
48 | NAWALPAR | 1 |
1.1%
|
49 | RUPANDEH | 2 |
2.2%
|
50 | KAPILBAS | 1 |
1.1%
|
51 | ARGHAKHA | 1 |
1.1%
|
52 | PYUTHAN | 1 |
1.1%
|
53 | ROLPA | 1 |
1.1%
|
54 | RUKUM | 0 |
0%
|
55 | SALYAN | 2 |
2.2%
|
56 | DANG | 4 |
4.4%
|
57 | BANKE | 1 |
1.1%
|
58 | BARDIYA | 0 |
0%
|
59 | SURKHET | 1 |
1.1%
|
60 | DAILEKHA | 0 |
0%
|
61 | JAJARKOT | 0 |
0%
|
62 | DOLPA | 0 |
0%
|
63 | JUMLA | 0 |
0%
|
64 | KALIKOT | 0 |
0%
|
65 | MUGU | 1 |
1.1%
|
66 | HUMLA | 0 |
0%
|
67 | BAJURA | 0 |
0%
|
68 | BAJHANG | 2 |
2.2%
|
69 | ACHHAM | 0 |
0%
|
70 | DOTI | 3 |
3.3%
|
71 | KAILALI | 4 |
4.4%
|
72 | KANCHANP | 2 |
2.2%
|
73 | DADHELDH | 1 |
1.1%
|
74 | BAITADI | 1 |
1.1%
|
75 | DARCHULA | 2 |
2.2%
|
81 | 2 |
2.2%
|
|
Sysmiss | 110 |