Nepal Fishery Survey 2015
Nepal, 2015 - 2016
Central Bureau of Statistics
Created on July 05, 2018
Last modified July 05, 2018
Page views 86247
Download 2582
Documentation in PDF
Metadata
DDI/XML
JSON
DISTRICT NAME (DISTRICT_NAME)
Data file: AGGREGATED
Overview
Valid:
332
Invalid:
0
Type:
Discrete
Width:
12
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Achham | 1 |
0.3%
|
|
| Arghakhanchi | 11 |
3.3%
|
|
| Baglung | 14 |
4.2%
|
|
| Banke | 9 |
2.7%
|
|
| Bara | 9 |
2.7%
|
|
| Bardiya | 1 |
0.3%
|
|
| Bhaktapur | 1 |
0.3%
|
|
| Chitawan | 10 |
3%
|
|
| Dadeldhura | 1 |
0.3%
|
|
| Dang | 7 |
2.1%
|
|
| Dhading | 7 |
2.1%
|
|
| Dhanusa | 1 |
0.3%
|
|
| Gorkha | 14 |
4.2%
|
|
| Gulmi | 2 |
0.6%
|
|
| Ilam | 3 |
0.9%
|
|
| Jhapa | 6 |
1.8%
|
|
| Kailali | 5 |
1.5%
|
|
| Kanchanpur | 9 |
2.7%
|
|
| Kapilbastu | 7 |
2.1%
|
|
| Kaski | 13 |
3.9%
|
|
| Kathmandu | 3 |
0.9%
|
|
| Kavre | 2 |
0.6%
|
|
| Khotang | 6 |
1.8%
|
|
| Lalitpur | 12 |
3.6%
|
|
| Makwanpur | 8 |
2.4%
|
|
| Morang | 8 |
2.4%
|
|
| Myagdi | 3 |
0.9%
|
|
| Nawalparasi | 14 |
4.2%
|
|
| Nuwakot | 4 |
1.2%
|
|
| Palpa | 2 |
0.6%
|
|
| Panchthar | 5 |
1.5%
|
|
| Parbat | 7 |
2.1%
|
|
| Parsa | 7 |
2.1%
|
|
| Ramechhap | 4 |
1.2%
|
|
| Rautahat | 1 |
0.3%
|
|
| Rukum | 6 |
1.8%
|
|
| Rupandehi | 23 |
6.9%
|
|
| Salyan | 3 |
0.9%
|
|
| Saptari | 13 |
3.9%
|
|
| Sindhuli | 2 |
0.6%
|
|
| Siraha | 9 |
2.7%
|
|
| Sunsari | 12 |
3.6%
|
|
| Surkhet | 7 |
2.1%
|
|
| Syangja | 10 |
3%
|
|
| Tanahu | 11 |
3.3%
|
|
| Terhathum | 1 |
0.3%
|
|
| Udayapur | 18 |
5.4%
|
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.