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    Home / Central Data Catalog / MDG_2016_TANA-LSMS_V01_M / variable [F3]
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Measuring Urban Living Standards in Antananarivo 2016

Madagascar, 2016
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Reference ID
MDG_2016_TANA-LSMS_v01_M
DOI
https://doi.org/10.48529/p1af-6h23
Producer(s)
The World Bank
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 06, 2017
Last modified
Jun 04, 2025
Page views
106875
Downloads
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  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • loc_id
  • TANA_LSMS_COMMUNITY
  • s1_hhroster
  • deed
  • food
  • nfood3m
  • nfood12m
  • nfood30d
  • otherproperty
  • residentialhistory
  • services
  • shock
  • socialprotection
  • TANA_SAMPLE_WEIGHT
  • TANA_LSMS_HH_puf

Industry of Secondary Job (s3_scndind_en)

Data file: s1_hhroster

Overview

Valid: 253
Invalid: 0
Type: Discrete
Start: 977
End: 1007
Width: 31
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Beef, Pig, Chicken 1
0.4%
Beefs, Pig, Chicken 1
0.4%
Duck, Chicken 2
0.8%
Education 6
2.4%
Goose 2
0.8%
Goose, Duck, Pig 1
0.4%
Kassava 1
0.4%
Metal work 1
0.4%
Milk cow 2
0.8%
Pig 2
0.8%
Pig, Goose, Duck 1
0.4%
Radio advertisement 1
0.4%
Rice 4
1.6%
Rice and vegetables 1
0.4%
Soy milk 1
0.4%
Vanilla 1
0.4%
Vegetables 2
0.8%
Vegetables, chicken 1
0.4%
Yoghourt 1
0.4%
administration 1
0.4%
aluminium materials 1
0.4%
auto parts repairer 1
0.4%
bar 1
0.4%
biscuit retailing 1
0.4%
breeds 2
0.8%
brick stove manufacturing 1
0.4%
bricks 9
3.6%
business 1
0.4%
car parts retailing 1
0.4%
car repairing 4
1.6%
carpentry 4
1.6%
catering 3
1.2%
charcoal retailing 1
0.4%
cleaning 1
0.4%
cleaning and cooking services 1
0.4%
clothing 13
5.1%
clove retailing 1
0.4%
coffee and bread 1
0.4%
collector 1
0.4%
commerce 1
0.4%
communication 1
0.4%
construction 12
4.7%
construction materials 1
0.4%
control 1
0.4%
cosmetic products retailing 2
0.8%
cow 1
0.4%
daily working 2
0.8%
delivery 1
0.4%
design 1
0.4%
door, fence 1
0.4%
drafts 1
0.4%
dresses 2
0.8%
dresses, coffee, petrole, sugar 1
0.4%
ducks 1
0.4%
egs retailing 1
0.4%
electricity 2
0.8%
electricity installation 2
0.8%
engine repairing 1
0.4%
essential goods retailing 1
0.4%
fabric retailing 3
1.2%
farming 27
10.7%
fishes retailing 1
0.4%
foods 1
0.4%
foot ball match 1
0.4%
frame 1
0.4%
fritter 1
0.4%
groceries 3
1.2%
hair dressing 2
0.8%
handicraft 1
0.4%
health 2
0.8%
health sensitization 1
0.4%
house keeping services 1
0.4%
house painting 1
0.4%
import and export 1
0.4%
landscaping 3
1.2%
maid services 2
0.8%
manual washing 17
6.7%
manual washing and ironing 1
0.4%
music 2
0.8%
painting 1
0.4%
paste retailing 1
0.4%
pastry 1
0.4%
photocopy 1
0.4%
pizza 1
0.4%
plumbery 1
0.4%
potatoes retailing 1
0.4%
precious stones 1
0.4%
private transport 1
0.4%
public transport 2
0.8%
rain gutter manufacturing 1
0.4%
real estate 3
1.2%
retailing 13
5.1%
rice 1
0.4%
sales 1
0.4%
security 7
2.8%
services 1
0.4%
shoes 1
0.4%
site 1
0.4%
smith 1
0.4%
speaking 1
0.4%
telephone retailing 1
0.4%
training 1
0.4%
transport 13
5.1%
vegetables, breeds 1
0.4%
water 3
1.2%
welding 2
0.8%
writing 1
0.4%
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.
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