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Nepal Fishery Survey 2015

Nepal, 2015 - 2016
Agriculture, Forestry and Fisheries
Central Bureau of Statistics
Created on July 05, 2018 Last modified July 05, 2018 Page views 86461 Download 2582 Documentation in PDF Metadata DDI/XML JSON
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CASTE CODE (CCODE)

Data file: LOAN_INSURENCE

Overview

Valid: 2468
Invalid: 164
Minimum: 0
Maximum: 110
Type: Discrete
Decimal: 0
Width: 3
Range: 0 - 110
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 10
0.4%
1 CHHETRI 322
13%
2 BRAHMAN (HILL) 348
14.1%
3 MAGAR 98
4%
4 TAMANG 80
3.2%
5 THARU 393
15.9%
6 NEWAR 100
4.1%
7 MUSLIM 64
2.6%
8 KAMI 20
0.8%
9 YADAV 159
6.4%
10 RAI 76
3.1%
11 GURUNG 36
1.5%
12 DAMAIN/DHOLI 5
0.2%
13 LIMBU 41
1.7%
14 THAKURI 34
1.4%
15 SARKI 13
0.5%
16 TELI 60
2.4%
17 CHAMAR/HARIJAN/RAM 4
0.2%
18 KOIRI 43
1.7%
19 KURMI 34
1.4%
20 SANYASI 14
0.6%
21 DHANUK 46
1.9%
22 MUSAHAR 1
0%
23 DUSADH/PASWAN/PASI 9
0.4%
24 SHERPA 0
0%
25 SONAR 1
0%
26 KEWAT 28
1.1%
27 BRAHMAN (TARAI) 21
0.9%
28 BANIYA 6
0.2%
29 GHARTI/BHUJEL 5
0.2%
30 MALLAH 135
5.5%
31 KALWAR 16
0.6%
32 KUMAL 8
0.3%
33 HAJAM/THAKUR 7
0.3%
34 KANU 10
0.4%
35 RAJBANSI 44
1.8%
36 SUNUWAR 0
0%
37 SUDHI 11
0.4%
38 LOHAR 1
0%
39 TATMA 3
0.1%
40 KHATWE 1
0%
41 DHOBI 3
0.1%
42 MAJHI 17
0.7%
43 NUNIYA 8
0.3%
44 KUMHAR 3
0.1%
45 DANUWAR 6
0.2%
46 CHEPANG/PRAJA 0
0%
47 HALUWAI 4
0.2%
48 RAJPUT 10
0.4%
49 KAYASTHA 4
0.2%
50 BADHAE 5
0.2%
51 MARWADI 0
0%
52 SANTHAL/SATAR 2
0.1%
53 DHAGAR/JHAGAR 2
0.1%
54 BANTAR 0
0%
55 BARAE 2
0.1%
56 KAHAR 3
0.1%
57 GANGAI 18
0.7%
58 LODH 0
0%
59 RAJBHAR 0
0%
60 THAMI 1
0%
61 DHIMAL 0
0%
62 BHOTE 1
0%
63 BING/BINDA 0
0%
64 BHEDIYAR/GADERI 0
0%
65 NURANG 0
0%
66 YAKKHA 0
0%
67 DARAI 1
0%
68 TAJPURIYA 7
0.3%
69 THAKALI 0
0%
70 CHIDIMAR 0
0%
71 PAHARI 0
0%
72 MALI 0
0%
73 BANGALI 1
0%
74 CHHANTAL 3
0.1%
75 DOM 0
0%
76 KAMAR 0
0%
77 BOTE 0
0%
78 BRAHMU/BARAMU 0
0%
79 GAINE 1
0%
80 JIREL 0
0%
81 ADIBASI/JANAJATI 0
0%
82 CHURAUTE 0
0%
83 BADI 0
0%
84 MECHE 0
0%
85 LEPCHA 0
0%
86 HALKHOR 0
0%
87 PUNJABI/SIKH 3
0.1%
88 KISAN 0
0%
89 RAJI 1
0%
90 BYANGSI 0
0%
91 HAYU 0
0%
92 KOCHE 0
0%
93 DHUNIA 0
0%
94 WALUNG 0
0%
95 JAIN 0
0%
96 MUNDA 0
0%
97 RAUTE 0
0%
98 YEHLMO 0
0%
99 PATHARKATA/KUSWADIYA 0
0%
100 KUSUNDA 0
0%
101 Bhumihar 23
0.9%
102 Karmarong 0
0%
103 Sakhariya 0
0%
110 32
1.3%
Sysmiss 164
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.