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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DISTRICT NAME (DISTRICT_NAME)
Data file: O_INCOME
Overview
Valid:
78
Invalid:
0
Type:
Discrete
Width:
18
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Banke | 6 |
7.7%
|
|
| Bardiya | 3 |
3.8%
|
|
| Dang | 1 |
1.3%
|
|
| Dhading | 1 |
1.3%
|
|
| Dhankuta | 1 |
1.3%
|
|
| Gulmi | 1 |
1.3%
|
|
| Kailali | 9 |
11.5%
|
|
| Kanchanpur | 3 |
3.8%
|
|
| Lalitpur | 2 |
2.6%
|
|
| Mahottari | 13 |
16.7%
|
|
| Makwanpur | 1 |
1.3%
|
|
| Morang | 4 |
5.1%
|
|
| Nawalparasi | 2 |
2.6%
|
|
| Nuwakot | 6 |
7.7%
|
|
| Palpa | 1 |
1.3%
|
|
| Rautahat | 3 |
3.8%
|
|
| Rupandehi | 2 |
2.6%
|
|
| Saptari | 3 |
3.8%
|
|
| Sarlahi | 9 |
11.5%
|
|
| Sindhupalchok | 2 |
2.6%
|
|
| Sunsari | 3 |
3.8%
|
|
| Syangja | 1 |
1.3%
|
|
| Udayapur | 1 |
1.3%
|
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.