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    Home / Central Data Catalog / NPL-CBS-NCCIS-2016-V01 / variable [F13]
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National Climate Change Impact Survey 2016

Nepal, 2016
Central Bureau of Statistics
Created on January 19, 2022 Last modified January 19, 2022 Page views 285024 Download 138252 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • Data files
  • S01
  • S02_1
  • S02_2
  • S03
  • S04
  • S05
  • S06
  • S07_1
  • S07_2
  • S08
  • S09
  • S10_1
  • S10_2
  • S10_3
  • S11
  • S12
CSV JSON

Name of new spacies - 3 (J07C)

Data file: S10_1

Overview

Valid: 368
Invalid: 0
Type: Discrete
Width: 25
Range: -
Format: character

Questions and instructions

Literal question
Name of new species ?
Categories
Value Category Cases
Ariganthe 1
0.3%
Ashoka 5
1.4%
Ast. Phatyangra 1
0.3%
Astreliyan Phatyangra 2
0.5%
Bakaino 1
0.3%
Bansh 1
0.3%
Epil Epil 1
0.3%
Epil epil 1
0.3%
Jamun 1
0.3%
Jhante Kira 1
0.3%
Jhantekira 1
0.3%
Kadam 8
2.2%
Kalo Ariganthe 1
0.3%
Kalo Dheri Khutta Bhayako 1
0.3%
Kapur 5
1.4%
Lampuchchhre 1
0.3%
Lipistik 1
0.3%
Masala 2
0.5%
Nim 1
0.3%
Phatyangra 1
0.3%
Rangin Chara 1
0.3%
Rangin chara 2
0.5%
Rate 1
0.3%
Sadawan 3
0.8%
Tik 1
0.3%
Tika 1
0.3%
amhair 1
0.3%
amila 1
0.3%
amriso 1
0.3%
ashoka 1
0.3%
bakaina 3
0.8%
bakaino 15
4.1%
bakeno 1
0.3%
bamboo 2
0.5%
barsim 1
0.3%
barsing 2
0.5%
barsyu 1
0.3%
bas , 1
0.3%
bhttamasae 1
0.3%
bhui sayau 1
0.3%
bikase ghas 4
1.1%
bokaino 1
0.3%
chichaur 2
0.5%
chukile 1
0.3%
coffee 1
0.3%
dale ghas 1
0.3%
dangre 1
0.3%
dode ghas 2
0.5%
dummsi 1
0.3%
dumsi 2
0.5%
epil 2
0.5%
epilepil 2
0.5%
epilipi 2
0.5%
gaandhi 3
0.8%
gandhaune fatya 1
0.3%
gandhaune kira 1
0.3%
gandhi 5
1.4%
ghurmi 1
0.3%
gobre 4
1.1%
goldammar 1
0.3%
guno ghas 1
0.3%
hariyo kira 1
0.3%
hatti ghas 1
0.3%
ipil 3
0.8%
ipile 1
0.3%
ipilipi 20
5.4%
ippel 1
0.3%
ipple 1
0.3%
jaai 1
0.3%
jai ghas 3
0.8%
jaighas 1
0.3%
jamuna 1
0.3%
jangali juka 1
0.3%
japanise naspati 1
0.3%
jhadi juka 1
0.3%
jhapali sakhuwa 1
0.3%
jhushil kira 2
0.5%
jilebi 1
0.3%
jiyal ghas 1
0.3%
jiyol 1
0.3%
juka 3
0.8%
junelo ghas 1
0.3%
kadam 32
8.7%
kadham 6
1.6%
kalmi aanp 1
0.3%
kalo Chiple kira 1
0.3%
karam 1
0.3%
katus 2
0.5%
katush 2
0.5%
kaulo 1
0.3%
khajur 1
0.3%
khamari 1
0.3%
khasre 1
0.3%
khayar 1
0.3%
kher . 1
0.3%
kheyar 1
0.3%
khumle 1
0.3%
kimbu 2
0.5%
kimmu 1
0.3%
koiral 1
0.3%
laai kira 1
0.3%
lichi 1
0.3%
lichi tree 1
0.3%
liplipi 1
0.3%
liptis 6
1.6%
mahagi 2
0.5%
mahagni 1
0.3%
mahangi 1
0.3%
makai ghas 4
1.1%
malasian sakhuw 2
0.5%
malate 1
0.3%
malato 3
0.8%
malecian sakhuw 1
0.3%
malesiyan sakhu 1
0.3%
malu 1
0.3%
malycian 1
0.3%
mango tree 1
0.3%
masala 25
6.8%
mashala 5
1.4%
mosquito 1
0.3%
motha 1
0.3%
naamle 1
0.3%
nakatta 1
0.3%
namle 1
0.3%
nariwal 2
0.5%
naspati 2
0.5%
nayni 1
0.3%
nepier 1
0.3%
nepiyar 1
0.3%
nepiyer 1
0.3%
pahele 1
0.3%
phorsha 1
0.3%
piluwa 1
0.3%
pipal 1
0.3%
rahu machha 1
0.3%
rato siris 3
0.8%
ratuwa 1
0.3%
rubbar 1
0.3%
ruddrachh 1
0.3%
rudrachhe 1
0.3%
rudrakshya 1
0.3%
saagun 2
0.5%
safet 1
0.3%
sagaman 1
0.3%
sagun 2
0.5%
sajwin 1
0.3%
sakhuwa 1
0.3%
sami 1
0.3%
sangla 1
0.3%
shankhe 1
0.3%
simal 6
1.6%
siris 1
0.3%
sirish 2
0.5%
sisam 3
0.8%
sisau 3
0.8%
stailo 4
1.1%
stilo 1
0.3%
stylo 1
0.3%
sudan 1
0.3%
taki 2
0.5%
tar , 1
0.3%
tataya 1
0.3%
teek 16
4.3%
teem 1
0.3%
thaha xaina 1
0.3%
tik . 2
0.5%
tik plant 1
0.3%
tik. 2
0.5%
tuni 1
0.3%
yamokad 1
0.3%
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.
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