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Nepal Commercial Floriculture Survey 2015-2016

Nepal, 2015 - 2016
Agriculture, Forestry and Fisheries
Central Bureau of Statistics
Created on August 18, 2017 Last modified August 18, 2017 Page views 106482 Download 2069 Documentation in PDF Metadata DDI/XML JSON
CSV JSON

District (DISTRICT)

Data file: 1. Introduction

Overview

Valid: 377
Invalid: 0
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 75
Format: Numeric

Questions and instructions

Literal question
In which district firm located?
Categories
Value Category Cases
1 Taplejung 0
0%
2 Panchthar 0
0%
3 Ilam 5
1.3%
4 Jhapa 19
5%
5 Morang 23
6.1%
6 Sunsari 14
3.7%
7 Dhankuta 3
0.8%
8 Terhathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 0
0%
12 Okhaldhunga 0
0%
13 Khotang 2
0.5%
14 Udayapur 1
0.3%
15 Saptari 2
0.5%
16 Siraha 7
1.9%
17 Dhanusa 11
2.9%
18 Mahotari 17
4.5%
19 Sarlahi 6
1.6%
20 Sindhuli 1
0.3%
21 Ramechhap 0
0%
22 Dolakha 2
0.5%
23 Sindhupalchok 0
0%
24 Kavrepalanchok 16
4.2%
25 Lalitpur 39
10.3%
26 Bhaktapur 20
5.3%
27 Kathmandu 100
26.5%
28 Nuwakot 0
0%
29 Rasuwa 0
0%
30 Dhading 1
0.3%
31 Makwanpur 6
1.6%
32 Rautahat 3
0.8%
33 Bara 4
1.1%
34 Parsa 4
1.1%
35 Chitawan 12
3.2%
36 Gorkha 0
0%
37 Lamjung 0
0%
38 Tanahu 0
0%
39 Syangja 0
0%
40 Kaski 22
5.8%
43 Myagdi 0
0%
44 Parbat 0
0%
45 Baglung 0
0%
46 Gulmi 1
0.3%
47 Palpa 2
0.5%
48 Nawalparasi 3
0.8%
49 Rupandehi 8
2.1%
50 Kapilbastu 0
0%
51 Arghakhanchi 1
0.3%
52 Pyuthan 0
0%
53 Rolpa 0
0%
54 Rukum 0
0%
55 Salyan 0
0%
56 Dang 4
1.1%
57 Banke 4
1.1%
58 Bardiya 1
0.3%
59 Surkhet 2
0.5%
60 Dailekh 1
0.3%
68 Bajhang 0
0%
70 Doti 0
0%
71 Kailali 8
2.1%
72 Kanchanpur 2
0.5%
73 Dadeldhura 0
0%
74 Baitadi 0
0%
75 Darchula 0
0%
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.