High Frequency Survey: Market Linkages Survey 2017

South Sudan, 2017

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Reference ID

SSD_2017_HFS-MLS_v01_M

Producer(s)

Utz J. Pape, World Bank

Metadata

DDI/XML JSON

Created on

Oct 14, 2021

Last modified

Oct 14, 2021

Page views

6984

Downloads

118

Gender of trader (gender)

Data file: MLS.dta

Overview

Valid: 624

Invalid: 1

Minimum: 1

Maximum: 2

Type: Discrete

Decimal: 0

Start: 11

End: 11

Width: 1

Range: 1 - 2

Format: Numeric

Questions and instructions

Literal question

What is your gender?

Categories

Value	Category	Cases
1	Female	123	19.7%
2	Male	501	80.3%
Sysmiss		1

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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