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    Home / Central Data Catalog / GATS / VNM_2015_GATS_V01 / variable [F1]
GATS

Global Adult Tobacco Survey 2015

Viet Nam, 2015
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Reference ID
VNM_2015_GATS_v01
Producer(s)
Ministry of Health, Hanoi Medical University, General Statistics Office of Viet Nam.
Collections
Global Adult Tobacco Survey
Metadata
DDI/XML JSON
Created on
Jul 12, 2021
Last modified
Jul 12, 2021
Page views
36777
Downloads
1850
  • Study Description
  • Data Dictionary
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  • Data files
  • VIETNAM_2015

(A05VNA)

Data file: VIETNAM_2015

Overview

Valid: 518
Invalid: 0
Type: Discrete
Width: 38
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Director of private company 1
0.2%
Director of salon auto 1
0.2%
Driver 8
1.5%
Drug seller 3
0.6%
Head of aging association branch 1
0.2%
accountant 10
1.9%
advertisement 1
0.2%
alcohol cooking 1
0.2%
alumilum glass processing 1
0.2%
alumilum/glass processing 1
0.2%
animal husbandary 1
0.2%
animal trading 1
0.2%
auto repairing 2
0.4%
babyseater 1
0.2%
beauty salon 4
0.8%
beer shop owner 1
0.2%
bicycle repairing 1
0.2%
book keeper 1
0.2%
bread seller 1
0.2%
breakfast seller 2
0.4%
brick maker 2
0.4%
buider assistant 1
0.2%
builder 9
1.7%
builder assistant 1
0.2%
building 1
0.2%
building assistant 8
1.5%
building engineer 1
0.2%
building trading 2
0.4%
building worker 1
0.2%
carpenter 14
2.7%
charity association 1
0.2%
chief of habitant ward 1
0.2%
cloth trader 2
0.4%
cloth trading 1
0.2%
coal maker 1
0.2%
coffee shop 6
1.2%
collector of waste materials 2
0.4%
construction material trading 1
0.2%
cook 6
1.2%
cook for kindergarden 1
0.2%
cookie maker 1
0.2%
cosmatic trading 1
0.2%
delivering 1
0.2%
design website 1
0.2%
drink seller 3
0.6%
driver 12
2.3%
drug seller 1
0.2%
drug trading 1
0.2%
entertainment for children service 1
0.2%
environmental worker 1
0.2%
farmer 86
16.6%
farmer and embroider 1
0.2%
farmer/animal husbandry 2
0.4%
fashion designer 1
0.2%
fertilizer trading 2
0.4%
fish trading 2
0.4%
flower seller 1
0.2%
food seller 12
2.3%
food seller at home 1
0.2%
food vendor 1
0.2%
forest planter 1
0.2%
furniture maker 1
0.2%
furniture shop owner 1
0.2%
furtune teller 1
0.2%
gardener 1
0.2%
goods controller 1
0.2%
government staff 2
0.4%
grocer 16
3.1%
grocer at home 1
0.2%
guard 13
2.5%
guest house trading 1
0.2%
hair dresser 14
2.7%
hat maker 1
0.2%
health worker at village 1
0.2%
helper 10
1.9%
homework 1
0.2%
house for rent 1
0.2%
husbandary 12
2.3%
incense maker 1
0.2%
ink maker 1
0.2%
installor of electricity and water 1
0.2%
interior stuff trading 1
0.2%
internet shop owner 1
0.2%
irrigational works 1
0.2%
kindergarden teacher 4
0.8%
knitting 1
0.2%
lottery seller 1
0.2%
make soya curd 1
0.2%
manage house for rent 1
0.2%
manager of inox shop 1
0.2%
marketing 2
0.4%
mechanical worker 1
0.2%
mining worker 1
0.2%
motobike driver 7
1.4%
motobike repairing 6
1.2%
motobike repairing at home 1
0.2%
mountebank 1
0.2%
nurse 2
0.4%
office staff 1
0.2%
own house for rent 1
0.2%
owner of mortage shop 1
0.2%
owner of restaurant 1
0.2%
paint trading 1
0.2%
painting 1
0.2%
phone repairing at home 1
0.2%
photocopy staff 1
0.2%
photographer 1
0.2%
porter 6
1.2%
printing worker 1
0.2%
rent collector 1
0.2%
restaurant owner 1
0.2%
retired 1
0.2%
rice seller 2
0.4%
roll door installation 1
0.2%
rubber collector 2
0.4%
rubber plant 1
0.2%
sale 2
0.4%
salon auto assistant 1
0.2%
seaman 2
0.4%
seawomen 1
0.2%
security worker 1
0.2%
seller 3
0.6%
shoes maker 4
0.8%
shoes trading 1
0.2%
shop manager 1
0.2%
shrimp trading 1
0.2%
small trader 7
1.4%
small trading 1
0.2%
sorcerer 1
0.2%
soyabean milk seller 1
0.2%
steel shop 1
0.2%
steel trader 1
0.2%
street vendor 1
0.2%
supermarket worker 1
0.2%
swimming teacher 1
0.2%
tailor 18
3.5%
taxi driver 3
0.6%
teacher 13
2.5%
tourist trading 1
0.2%
trader 25
4.8%
trading 6
1.2%
trading at home 2
0.4%
trading guest house 1
0.2%
trading in the market 2
0.4%
trading of animal drug 1
0.2%
trading of contruction materials 1
0.2%
trading of ornamental fish/bird 1
0.2%
trading of soya curd 1
0.2%
trading of waste materials 1
0.2%
traditional medicine 1
0.2%
train the trainer 1
0.2%
tree trading 1
0.2%
vegetable quality controller 1
0.2%
vegetable trading 8
1.5%
village health worker 1
0.2%
village security 1
0.2%
village work 1
0.2%
village worker in charge of population 1
0.2%
votive object trading 1
0.2%
votive objects seller 1
0.2%
waste material trading 1
0.2%
watch repairing 1
0.2%
wedding costume 1
0.2%
weilder 1
0.2%
welder 1
0.2%
wood production 1
0.2%
wood trading 1
0.2%
worker 7
1.4%
worker in industrial zone 1
0.2%
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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