Value |
Category |
1 |
Taplejung |
2 |
Panchthar |
3 |
Ilam |
4 |
Jhapa |
5 |
Morang |
6 |
Sunsari |
7 |
Dhankuta |
8 |
Terhathum |
9 |
Sankhuwasabha |
10 |
Bhojpur |
11 |
Solukhumbu |
12 |
Okhaldhunga |
13 |
Khotang |
14 |
Udayapur |
15 |
Saptari |
16 |
Siraha |
17 |
Dhanusa |
18 |
Mahottari |
19 |
Sarlahi |
20 |
Sindhuli |
21 |
Ramechhap |
22 |
Dolakha |
23 |
Sindhupalchok |
24 |
Kavre |
25 |
Lalitpur |
26 |
Bhaktapur |
27 |
Kathmandu |
28 |
Nuwakot |
29 |
Rasuwa |
30 |
Dhading |
31 |
Makwanpur |
32 |
Rautahat |
33 |
Bara |
34 |
Parsa |
35 |
Chitawan |
36 |
Gorkha |
37 |
Lamjung |
38 |
Tanahu |
39 |
Syangja |
40 |
Kaski |
41 |
Manang |
42 |
Mustang |
43 |
Myagdi |
44 |
Parbat |
45 |
Baglung |
46 |
Gulmi |
47 |
Palpa |
48 |
Nawalparasi |
49 |
Rupandehi |
50 |
Kapilbastu |
51 |
Arghakhanchi |
52 |
Pyuthan |
53 |
Rolpa |
54 |
Rukum |
55 |
Salyan |
56 |
Dang |
57 |
Banke |
58 |
Bardiya |
59 |
Surkhet |
60 |
Dailekh |
61 |
Jajarkot |
62 |
Dolpa |
63 |
Jumla |
64 |
Kalikot |
65 |
Mugu |
66 |
Humla |
67 |
Bajura |
68 |
Bajhang |
69 |
Achham |
70 |
Doti |
71 |
Kailali |
72 |
Kanchanpur |
73 |
Dadeldhura |
74 |
Baitadi |
75 |
Darchula |
81 |
India |
82 |
Bhutan |
83 |
China |
84 |
Bangladesh |
85 |
Hong Knog |
86 |
Malaysia |
87 |
Japan |
88 |
Saudi Arabia |
89 |
Qatar |
90 |
Unites Arab Emirates |
91 |
United Kingdom |
92 |
United States of America |
93 |
South korea |
94 |
Australia |
95 |
Israel |
96 |
Other country |
Sysmiss |
|
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.