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    Home / Food and Agriculture Microdata Catalogue / FISHERIES / SLE_2020-2021_EWSFSFS_V01_EN_M_V01_A_OCS / variable [V1392]
FISHERIES

Empowering Women in Small-Scale Fisheries for Sustainable Food Systems (2020-2021)

Sierra Leone, 2020 - 2021
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Reference ID
SLE_2020-2021_EWSFSFS_v01_EN_M_v01_A_OCS
Producer(s)
Nicole Franz, Lena Westlund, Molly Ahern
Collections
Fishery Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 09, 2023
Last modified
Mar 10, 2023
Page views
28926
Downloads
303
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • data_anon_ind
  • data_anon_focus_groups_discussions
  • data_anon_kii
  • data_anon_organizations

1.6.5 Why did you lose/throw away fish? (x1_6_5_why_did_you_lose_thro)

Data file: data_anon_focus_groups_discussions

Overview

Valid: 30
Invalid: 0
Type: Discrete
Width: 76
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Bad fish 1
3.3%
Bad market day, fewer buyers, weather conditions 1
3.3%
Because 1
3.3%
Because low sales due to more fish in the market 1
3.3%
Because no storage and processing facility 1
3.3%
Because of too many fish at the market 1
3.3%
Because the fish are too plenty at the market 1
3.3%
Fish are scare and too expensive 1
3.3%
Ice or cold room not availableto preserved fish 1
3.3%
Lack of storage and processing facility 1
3.3%
Lack of storage facility, processing plant, cold room, cold man, 1
3.3%
Lesser costumers in the market, poor quality of fire, bad market day 1
3.3%
No facilities are available 1
3.3%
No lose or waste 1
3.3%
No storage and processing facility 1
3.3%
No storage facility, no ice, 1
3.3%
Not 1
3.3%
Plenty 3
10%
Poor quality 1
3.3%
Poor quality fish sold to us by the fishermen 1
3.3%
Poor quality of fish, bad market day 1
3.3%
Spoil 1
3.3%
Spoilt fish 1
3.3%
The facilities to prevent it from going bad are not available 1
3.3%
The fish get perish 1
3.3%
When fish are bought,there are no cooling or iceing facilities 1
3.3%
When fish are scare they become expensive we end up selling below cost price 1
3.3%
poor quality of the fish 1
3.3%
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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