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    Home / Food and Agriculture Microdata Catalogue / FISHERIES / NAM_2022_EWSFSFS_V01_EN_M_V01_A_OCS / variable [V946]
FISHERIES

Empowering Women in Small-Scale Fisheries for Sustainable Food Systems

Namibia, 2022
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Reference ID
NAM_2022_EWSFSFS_v01_EN_M_v01_A_OCS
Producer(s)
Molly Ahern
Collections
Fishery Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 01, 2023
Last modified
Dec 01, 2023
Page views
15253
Downloads
120
  • Study Description
  • Data Dictionary
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  • Data files
  • data_anon_ind
  • data_anon_FGD
  • data_anon_KII

What is the second role women play in decision making in fish value chains? (V82)

Data file: data_anon_FGD

Overview

Valid: 19
Type: Discrete
Width: 178
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Decide on quantity of fish to be prepared for marketing and for household consumption. 1
5.3%
Deep frying fish 2
10.5%
Determine market price, majority of people who sell fish and fish products around Walvis Bay are women especially cooked products 1
5.3%
Determine marketing places 1
5.3%
Distributions and Marketing 1
5.3%
Giving fish gift and exchange fish with mahangu Mills (Barter) 1
5.3%
Household fish consumption 1
5.3%
How the income generated will be divided to cater expenses of the house 1
5.3%
Marketing areas 1
5.3%
Most women are involved in the marketing of fish and decide on the use of the income generated from SSF. 1
5.3%
No answer 1
5.3%
Quantity of the fish to sell and how to manage the profit earned 1
5.3%
Selling of fish 1
5.3%
The prices of the fresh and processed fish 1
5.3%
They also have role in decision making regarding the decision on income,their rights, needs and how they would want them to be met and satisfied. 1
5.3%
They are fully involved on the decisions regarding their incomes, decisions involving their well being and how they can improve their fishing activities to increase their income. 1
5.3%
They decide the price of fish 1
5.3%
Women are responsible for deciding what to use the money for that they make from fish retailing 1
5.3%
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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