| Value |
Category |
| 1 |
chhetri |
| 2 |
bramhin hill |
| 3 |
magar |
| 4 |
tharu |
| 5 |
tamang |
| 6 |
newar |
| 7 |
muslim |
| 8 |
kami |
| 9 |
yadav |
| 10 |
rai |
| 11 |
gurung |
| 12 |
damai/dholi |
| 13 |
limbu |
| 14 |
thakuri |
| 15 |
sarki |
| 16 |
teli |
| 17 |
chamar/harijan |
| 18 |
koiri |
| 19 |
kurmi |
| 20 |
sanyashi |
| 21 |
dhanuk |
| 22 |
musahar |
| 23 |
dusadh/paswan |
| 24 |
sherpa |
| 25 |
sonar |
| 26 |
kewat |
| 27 |
bramhin terai |
| 28 |
baniya |
| 29 |
bhujel/gharti |
| 30 |
mallah |
| 31 |
kalwar |
| 32 |
kumal |
| 33 |
thakur/hazam |
| 34 |
kanu |
| 35 |
rajbanshi |
| 36 |
sunuwar |
| 37 |
sudhi |
| 38 |
lohar |
| 39 |
tatma |
| 40 |
khatwe |
| 41 |
dhobi |
| 42 |
majhi |
| 43 |
nuniya |
| 44 |
kumhar |
| 45 |
danuwar |
| 46 |
chepang/praja |
| 47 |
haluwai |
| 48 |
rajput |
| 49 |
kayastha |
| 50 |
badhai |
| 51 |
marwadi |
| 52 |
santhal/satar |
| 53 |
jhangad |
| 54 |
baantar |
| 55 |
barai |
| 56 |
kahar |
| 57 |
gangai |
| 58 |
lodha |
| 59 |
rajbhar |
| 60 |
thami |
| 61 |
dhimal |
| 62 |
bhote |
| 63 |
bing/bida |
| 64 |
bhediyar/gaderi |
| 65 |
nurang |
| 66 |
yakha |
| 67 |
darai |
| 68 |
tajpuriya |
| 69 |
thakali |
| 70 |
chidimar |
| 71 |
pahari |
| 72 |
mali |
| 73 |
bangali |
| 74 |
chhantel |
| 75 |
dom |
| 76 |
kamar |
| 77 |
bote |
| 78 |
baramu/bramhu |
| 79 |
gaine |
| 80 |
jirel |
| 81 |
janjati/aadibashi |
| 82 |
dura |
| 83 |
churoute |
| 84 |
badi |
| 85 |
meche |
| 86 |
lepcha |
| 87 |
halkhor |
| 88 |
panjabi/shikh |
| 89 |
kisan |
| 90 |
raji |
| 91 |
byangsi |
| 92 |
hayu |
| 93 |
koche |
| 94 |
dhuniya |
| 95 |
walung |
| 96 |
jaine |
| 97 |
munda |
| 98 |
raute |
| 99 |
hyalmo |
| 100 |
pattharkatta/kuswadiya |
| 101 |
kusunda |
| 102 |
others |
| 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.