Value |
Category |
1 |
CHHETRI |
2 |
BRAHMAN (HILL) |
3 |
MAGAR |
4 |
TAMANG |
5 |
THARU |
6 |
NEWAR |
7 |
MUSLIM |
8 |
KAMI |
9 |
YADAV |
10 |
RAI |
11 |
GURUNG |
12 |
DAMAIN/DHOLI |
13 |
LIMBU |
14 |
THAKURI |
15 |
SARKI |
16 |
TELI |
17 |
CHAMAR/HARIJAN/RAM |
18 |
KOIRI |
19 |
KURMI |
20 |
SANYASI |
21 |
DHANUK |
22 |
MUSAHAR |
23 |
DUSADH/PASWAN/PASI |
24 |
SHERPA |
25 |
SONAR |
26 |
KEWAT |
27 |
BRAHMAN (TARAI) |
28 |
BANIYA |
29 |
GHARTI/BHUJEL |
30 |
MALLAH |
31 |
KALWAR |
32 |
KUMAL |
33 |
HAJAM/THAKUR |
34 |
KANU |
35 |
RAJBANSI |
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 |
BADHAE |
51 |
MARWADI |
52 |
SANTHAL/SATAR |
53 |
DHAGAR/JHAGAR |
54 |
BANTAR |
55 |
BARAE |
56 |
KAHAR |
57 |
GANGAI |
58 |
LODH |
59 |
RAJBHAR |
60 |
THAMI |
61 |
DHIMAL |
62 |
BHOTE |
63 |
BING/BINDA |
64 |
BHEDIYAR/GADERI |
65 |
NURANG |
66 |
YAKKHA |
67 |
DARAI |
68 |
TAJPURIYA |
69 |
THAKALI |
70 |
CHIDIMAR |
71 |
PAHARI |
72 |
MALI |
73 |
BANGALI |
74 |
CHHANTAL |
75 |
DOM |
76 |
KAMAR |
77 |
BOTE |
78 |
BRAHMU/BARAMU |
79 |
GAINE |
80 |
JIREL |
81 |
ADIBASI/JANAJATI |
82 |
CHURAUTE |
83 |
BADI |
84 |
MECHE |
85 |
LEPCHA |
86 |
HALKHOR |
87 |
PUNJABI/SIKH |
88 |
KISAN |
89 |
RAJI |
90 |
BYANGSI |
91 |
HAYU |
92 |
KOCHE |
93 |
DHUNIA |
94 |
WALUNG |
95 |
JAIN |
96 |
MUNDA |
97 |
RAUTE |
98 |
YEHLMO |
99 |
PATHARKATA/KUSWADIYA |
100 |
KUSUNDA |
101 |
Bhumihar |
102 |
Karmarong |
103 |
Sakhariya |
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.