Empowering Women in Small-Scale Fisheries for Sustainable Food Systems (2020-2021)
United Republic of Tanzania, 2020 - 2021
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Reference ID
TZA_2020-2021_EWSFSFS_v01_EN_M_v01_A_OCS
Producer(s)
Nicole Franz, Lena Westlund, Molly Ahern
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Metadata
Created on
Feb 09, 2023
Last modified
Mar 10, 2023
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11981
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1.8.7 Why did you lose/throw away fish? (x1_8_7_why_did_you_lose_thro)
Data file: data_anon_ind
Overview
Valid:
229
Type:
Discrete
Width:
101
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 2 |
0.9%
|
|
| 2013 and 2014 they had no drying racks and there were heavy rains which caused alot of fish to go bad | 1 |
0.4%
|
|
| Because of infrastructure | 1 |
0.4%
|
|
| Change in weather | 1 |
0.4%
|
|
| Change in weather (high rainfall) | 1 |
0.4%
|
|
| Climate change and lack of fridge | 1 |
0.4%
|
|
| Could not be accepted by the buyer | 1 |
0.4%
|
|
| Dagaa being spoilt due to heavy rains | 1 |
0.4%
|
|
| Damaged | 1 |
0.4%
|
|
| Decline in qaulity due to heavy rains | 1 |
0.4%
|
|
| Drying problems due to rainfall | 1 |
0.4%
|
|
| Due to infastructures | 1 |
0.4%
|
|
| Due to spoilage | 2 |
0.9%
|
|
| During rain season processed sardines does not dry | 1 |
0.4%
|
|
| Few buyers | 1 |
0.4%
|
|
| Few customers available | 1 |
0.4%
|
|
| Fish spoilage | 25 |
10.9%
|
|
| Fish spoilage due to poor marketing | 2 |
0.9%
|
|
| Heavy rains caused her to sell at low prices as poultry meal | 1 |
0.4%
|
|
| Heavy rains which caused most of the fish to go bad | 1 |
0.4%
|
|
| Heavy rains, causing them to go bad | 1 |
0.4%
|
|
| Heavy rains, poor availability of customers | 1 |
0.4%
|
|
| High availability of fish in the market | 1 |
0.4%
|
|
| I don't throw away the fish | 1 |
0.4%
|
|
| I have never discarded fish | 2 |
0.9%
|
|
| Infastructure | 4 |
1.7%
|
|
| It depends sometimes big rain | 1 |
0.4%
|
|
| Lack of fridge | 1 |
0.4%
|
|
| Lack of fridge and huge rain | 1 |
0.4%
|
|
| Lack of good market | 1 |
0.4%
|
|
| Lack of infrastructure | 11 |
4.8%
|
|
| Lack of infrastructure and production was high | 1 |
0.4%
|
|
| Lack of infrastructure like fridge | 1 |
0.4%
|
|
| Lack of market | 1 |
0.4%
|
|
| Late landed from fishing | 1 |
0.4%
|
|
| Late landing | 1 |
0.4%
|
|
| Loss of Quality, No customer | 1 |
0.4%
|
|
| Low fish quality ( Fish spoil) | 1 |
0.4%
|
|
| Low fish quality (spoilage) | 1 |
0.4%
|
|
| Low quality | 6 |
2.6%
|
|
| Low quality due to spoilage of fish | 1 |
0.4%
|
|
| Low quality fish | 1 |
0.4%
|
|
| Low quality rotten | 2 |
0.9%
|
|
| N/A | 4 |
1.7%
|
|
| NA | 3 |
1.3%
|
|
| Na | 4 |
1.7%
|
|
| Nil | 1 |
0.4%
|
|
| No | 3 |
1.3%
|
|
| No Market | 1 |
0.4%
|
|
| No customers | 1 |
0.4%
|
|
| No infrastructure for storage | 2 |
0.9%
|
|
| No market | 1 |
0.4%
|
|
| None | 2 |
0.9%
|
|
| Overturn of boats as a result of heavy tidal waves | 1 |
0.4%
|
|
| Poor availability of cutomers | 1 |
0.4%
|
|
| Poor business flow | 2 |
0.9%
|
|
| Poor fish quality | 2 |
0.9%
|
|
| Poor market | 1 |
0.4%
|
|
| Poor marketing which causes fish not to be bought and eventually spoil | 1 |
0.4%
|
|
| Poor quality | 5 |
2.2%
|
|
| Poor quality (fish spoilage) | 1 |
0.4%
|
|
| Poor quality due to fish spoilage | 2 |
0.9%
|
|
| Poor quality due to spoilage | 4 |
1.7%
|
|
| Poor quality fish (fish spoilage) | 1 |
0.4%
|
|
| Poor quality of fish | 1 |
0.4%
|
|
| Power cut | 1 |
0.4%
|
|
| Price, ppl. Do not have money to buy | 1 |
0.4%
|
|
| Quality | 3 |
1.3%
|
|
| Quality loss | 2 |
0.9%
|
|
| Raifall, infrastructure lack | 1 |
0.4%
|
|
| Rain | 4 |
1.7%
|
|
| Rain season | 1 |
0.4%
|
|
| Rain seasons | 1 |
0.4%
|
|
| Rain spoilage | 1 |
0.4%
|
|
| Rain spoils the fish | 1 |
0.4%
|
|
| Rain, poor quality | 1 |
0.4%
|
|
| Rainfall | 5 |
2.2%
|
|
| Rainfall and spoilage | 1 |
0.4%
|
|
| Rainfall causes fish not to dry and finally spoil | 1 |
0.4%
|
|
| Rainfall spoilage | 1 |
0.4%
|
|
| Rains | 4 |
1.7%
|
|
| Rinfall | 1 |
0.4%
|
|
| Rotten | 3 |
1.3%
|
|
| Rotten and unfit for consumption | 1 |
0.4%
|
|
| Rotten fish | 7 |
3.1%
|
|
| Rottern | 1 |
0.4%
|
|
| She can't dry fish due to rainfall which leads to fish spoilage | 1 |
0.4%
|
|
| She doesn't lose | 1 |
0.4%
|
|
| She had to sell at low prices because there was a high availability of fish and few customers | 1 |
0.4%
|
|
| She purchased spoilt Dagaa from fisherfolks hence she had to throw way | 1 |
0.4%
|
|
| She sold the dagaa as chicken feed due to the fact that there were heavy rains and they got soiled | 1 |
0.4%
|
|
| Sold as animal feed, spoiled dagaa | 1 |
0.4%
|
|
| Spoilage | 8 |
3.5%
|
|
| Spoilage by rainfall | 2 |
0.9%
|
|
| Spoilage due to rain fall | 1 |
0.4%
|
|
| Spoilage due to rain or half- fried | 1 |
0.4%
|
|
| Spoilage due to rainfall | 2 |
0.9%
|
|
| Spoilage due to rainse | 1 |
0.4%
|
|
| Spoilage of fish | 1 |
0.4%
|
|
| Spoiled | 9 |
3.9%
|
|
| Spoilt due to bad weather, rain, poor processing | 1 |
0.4%
|
|
| Their quality declined and she had to sell as poultry feed | 2 |
0.9%
|
|
| Their quality declined and she had to sell at a low price | 1 |
0.4%
|
|
| There was poor business flow and had to sell at a low price | 1 |
0.4%
|
|
| There were few customers and she had to go back home with them | 1 |
0.4%
|
|
| They got spoilt | 1 |
0.4%
|
|
| They got spoilt and she had to throw them away | 1 |
0.4%
|
|
| They got spoilt due to heavy rains | 1 |
0.4%
|
|
| They got spoilt due to lack of market | 1 |
0.4%
|
|
| They got spoilt, some she had to throw away, while others she sold as poultry feed | 1 |
0.4%
|
|
| They went bad | 1 |
0.4%
|
|
| They went bad due to heavy rains | 2 |
0.9%
|
|
| They were carried off by tidal waves into the lake | 1 |
0.4%
|
|
| They were spoilt | 1 |
0.4%
|
|
| They were spoilt due to heavy rains | 1 |
0.4%
|
|
| Throw | 1 |
0.4%
|
|
| Too much supply | 1 |
0.4%
|
|
| Weather, low quality | 1 |
0.4%
|
|
| When there is a high availability of Dagaa in the market and few customers | 1 |
0.4%
|
|
| spoilage by rainfall | 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.