| Value |
Category |
| 1 |
taplejung |
| 2 |
panchthar |
| 3 |
ilam |
| 4 |
jhapa |
| 5 |
morang |
| 6 |
sunsari |
| 7 |
dhankuta |
| 8 |
tehrathum |
| 9 |
sankhuwasabha |
| 10 |
bhojpur |
| 11 |
solukhumbu |
| 12 |
okhaldhunga |
| 13 |
khotang |
| 14 |
udayapur |
| 15 |
saptari |
| 16 |
siraha |
| 17 |
dhanusha |
| 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 |
chitwan |
| 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 |
dailekha |
| 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 |
dadheldhura |
| 74 |
baitadi |
| 75 |
darchula |
| 81 |
india |
| 82 |
bhutan |
| 83 |
china |
| 84 |
bangladesh |
| 85 |
hong kong |
| 86 |
malesia |
| 87 |
japan |
| 88 |
saudi arab |
| 89 |
katar |
| 90 |
uae |
| 91 |
united kingdom |
| 92 |
usa |
| 93 |
other country |
| 99 |
don't know |
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.