| 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.