Value |
Category |
0 |
|
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 |
hongkong |
86 |
malaysia |
87 |
japan |
88 |
saudi arabia |
89 |
qatar |
90 |
united arab emirates |
91 |
united kingdom |
92 |
united states of america |
93 |
south korea |
94 |
australia |
95 |
israel |
96 |
other country |
99 |
|
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.