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    Home / Central Data Catalog / SWZ_2016_ES_V01_M / variable [F5]
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Enterprise Survey 2016

Swaziland, 2016
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Reference ID
SWZ_2016_ES_v01_M
Producer(s)
World Bank
Metadata
DDI/XML JSON
Study website
Created on
Jun 26, 2017
Last modified
Jun 26, 2017
Page views
8238
Downloads
334
  • Study Description
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  • Data files
  • swaziland_2016_full_data

Please Also Write Out The Number (d2x)

Data file: swaziland_2016_full_data

Overview

Valid: 139
Type: Discrete
Start: 501
End: 576
Width: 76
Format:

Questions and instructions

Literal question
In fiscal year [insert last complete fiscal year], what were this establishment's total annual sales for all products and services?
Categories
Value Category
Eight Hundred And Fifty Thousand
Eight Hundred And Sixty Four Thousand
Eight Hundred Thousand
Eight Million
Eight Million And Five Hundred Thousand
Eight Million Two Hundred Thousand
Eighteen Million
Eighty Million
Fifteen Million
Fifty Million
Five Hundred Thousand
Five Million
Five Million And Two Hundred Thousand
Five Million Five Hundred Thousand
Forty Five Million Six Hundred Thousand
Forty Million Seven Hundred And Sixty Thousand
Four Hundred And Eighty Thousand
Four Hundred And Fifteen Million
Four Hundred And Fifty Thousand
Four Hundred And Forty Thousand
Four Hundred Thousand
Four Million
Four Million And Five Hundred Thousand
Four Million Eight Hundred Thousand
Four Million Five Hundred Thousand
Fourteen Million
Nine Hundred And Eighty Thousand
Nine Hundred And Fifty Thousand
Nine Hundred Thousand
Nine Million
Ninety Million
One Billion Two Hundred Million
One Hundred And Fifty Million
One Hundred And Thirty Million
One Hundred Million
One Hundred Million Two Hundred And Forty Five Thousand Two Hundred
One Milion Nine Hundred And Fifty Thousand
One Million
One Million And Four Hundred Thousand
One Million Eight Hundred Thousand
One Million Five Hundred And Fifty Six Thousand Eight Hundred And Ninety.
One Million Five Hundred Thousand
One Million Four Hundred And Sixty Thousand
One Million Nine Hundred Thousand
One Million One Hundred And Fifty Thousand
One Million One Hundred Thousand
One Million Six Hundred And Thirty Four Thousand Two Hundred And Sixty Four.
One Million Six Hundred Thousand
One Million Three Hundred And Ninety Seven Thousand Two Hundred And Two
One Million Three Hundred Thousand
One Million Two Hundred Thousand
Seven Hundred And Fifty Thousand
Seven Hundred And Twenty Thousand
Seven Million
Seventy Four Million
Six Hundred And Fifty Eight Thousand
Six Hundred And Fifty Thousand
Six Hundred Thousand
Six Million
Six Million Five Hundred Thousand
Six Million Two Hundred Thousand
Sixty Two Million
Ten Million
Three Hundred And Eighty Thousand
Three Hundred And Fifty Thousand
Three Million
Three Million And Five Hundred Thousand
Three Million And Six Hundred Thousand
Three Million Eight Hundred And Sixty Thousand
Three Million Five Hundred Thousand
Three Million Four Hundred Thousand
Three Million Two Hundred Thousand
Twelve Million
Twenty Million
Twenty Two Million
Two Hundred And Fifty Eight Million
Two Hundred And Forty Thousand
Two Hundred And Nineteen Million
Two Hundred And Thirty Thousand
Two Hundred Thousand
Two Million
Two Million And Eight Hundred Thousand
Two Million Eight Hundred Thousand
Two Million Five Hundred Thousand
Two Million One Hundred Thousand
Two Million Six Hundred Thousand
Two Million Three Hundred Thousand
Two Million Two Hundred Thousand
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.
Interviewer instructions
PLEASE ALSO WRITE OUT THE NUMBER (I.E. 50,000 AS FIFTY THOUSAND)
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