Nepal Fishery Survey 2015
Nepal, 2015 - 2016
Central Bureau of Statistics
Created on July 05, 2018
Last modified July 05, 2018
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CASTE (FCASTE)
Data file: CAPITAL_EXP
Overview
Valid:
2943
Invalid:
0
Type:
Discrete
Width:
20
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| BADHAE | 10 |
0.3%
|
|
| BANIYA | 9 |
0.3%
|
|
| BARAE | 3 |
0.1%
|
|
| BRAHMAN (HILL) | 420 |
14.3%
|
|
| BRAHMAN (TARAI) | 30 |
1%
|
|
| Bhumihar | 51 |
1.7%
|
|
| CHAMAR/HARIJAN/RAM | 4 |
0.1%
|
|
| CHHANTAL | 1 |
0%
|
|
| CHHETRI | 360 |
12.2%
|
|
| DAMAIN/DHOLI | 3 |
0.1%
|
|
| DANUWAR | 9 |
0.3%
|
|
| DHAGAR/JHAGAR | 2 |
0.1%
|
|
| DHANUK | 35 |
1.2%
|
|
| DHOBI | 2 |
0.1%
|
|
| DUSADH/PASWAN/PASI | 3 |
0.1%
|
|
| GANGAI | 14 |
0.5%
|
|
| GHARTI/BHUJEL | 4 |
0.1%
|
|
| GURUNG | 32 |
1.1%
|
|
| HAJAM/THAKUR | 4 |
0.1%
|
|
| HALUWAI | 8 |
0.3%
|
|
| KAHAR | 2 |
0.1%
|
|
| KALWAR | 33 |
1.1%
|
|
| KAMI | 12 |
0.4%
|
|
| KANU | 24 |
0.8%
|
|
| KAYASTHA | 4 |
0.1%
|
|
| KEWAT | 17 |
0.6%
|
|
| KHATWE | 4 |
0.1%
|
|
| KOIRI | 80 |
2.7%
|
|
| KUMAL | 15 |
0.5%
|
|
| KUMHAR | 1 |
0%
|
|
| KURMI | 43 |
1.5%
|
|
| LIMBU | 23 |
0.8%
|
|
| LOHAR | 3 |
0.1%
|
|
| MAGAR | 89 |
3%
|
|
| MAJHI | 18 |
0.6%
|
|
| MALLAH | 204 |
6.9%
|
|
| MUSLIM | 102 |
3.5%
|
|
| NEWAR | 119 |
4%
|
|
| NUNIYA | 12 |
0.4%
|
|
| RAI | 61 |
2.1%
|
|
| RAJBANSI | 25 |
0.8%
|
|
| RAJPUT | 18 |
0.6%
|
|
| SANYASI | 27 |
0.9%
|
|
| SARKI | 16 |
0.5%
|
|
| SONAR | 1 |
0%
|
|
| SUDHI | 23 |
0.8%
|
|
| TAJPURIYA | 5 |
0.2%
|
|
| TAMANG | 77 |
2.6%
|
|
| TATMA | 5 |
0.2%
|
|
| TELI | 90 |
3.1%
|
|
| THAKURI | 47 |
1.6%
|
|
| THAMI | 1 |
0%
|
|
| THARU | 508 |
17.3%
|
|
| YADAV | 230 |
7.8%
|
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.