Integrated Household Survey 2018
Sierra Leone, 2018
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
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- Data files
- slihs2018_cluster.dta
- slihs2018_consexp.dta
- slihs2018_hh.dta
- slihs2018_ind.dta
- slihs2018_k42.dta
- slihs2018_l.dta
- slihs2018_m2.dta
- slihs2018_m21.dta
- slihs2018_m24.dta
- slihs2018_n.dta
- slihs2018_o.dta
- slihs2018_o49.dta
- slihs2018_o52.dta
- slihs2018_p.dta
- slihs2018_q.dta
- slihs2018_r1.dta
- slihs2018_r9.dta
- slihs2018_s.dta
- slihs2018_t.dta
- slihs2018_u.dta
- slihs2018_v9.dta
- slihs2018_v30.dta
- slihs2018_w.dta
- slihs2018_x.dta
- slihs2018_y.dta
- slihs2018_z.dta
V36a. In [MONTH] what kinds of fish / shellfish brought the most revenue? (first (v36a)
Data file: slihs2018_v30.dta
Overview
Valid:
698
Invalid:
10
Minimum:
0
Maximum:
150
Type:
Discrete
Decimal:
0
Start:
79
End:
81
Width:
3
Range:
0 - 150
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | No more fish | 47 |
6.7%
|
| 101 | bonga | 87 |
12.5%
|
| 102 | bonito | 2 |
0.3%
|
| 103 | butterfish | 11 |
1.6%
|
| 104 | catfish | 139 |
19.9%
|
| 105 | couta / kinni | 51 |
7.3%
|
| 106 | cowreh | 1 |
0.1%
|
| 107 | crab | 39 |
5.6%
|
| 108 | crocus | 5 |
0.7%
|
| 109 | cutmoney | 0 |
0%
|
| 110 | cuttlefish | 3 |
0.4%
|
| 111 | dolphin | 0 |
0%
|
| 112 | gwan-gwan | 58 |
8.3%
|
| 113 | herring | 16 |
2.3%
|
| 114 | joefish | 2 |
0.3%
|
| 115 | ladyfish | 32 |
4.6%
|
| 116 | lobster | 2 |
0.3%
|
| 117 | mackerel | 3 |
0.4%
|
| 120 | pink shrimps | 0 |
0%
|
| 121 | pollock | 2 |
0.3%
|
| 122 | pomp | 0 |
0%
|
| 124 | red grouper | 1 |
0.1%
|
| 125 | sea fowl | 1 |
0.1%
|
| 126 | shark | 4 |
0.6%
|
| 127 | sheephead | 1 |
0.1%
|
| 128 | shinenose | 13 |
1.9%
|
| 129 | shovelnose | 5 |
0.7%
|
| 130 | silverfish | 3 |
0.4%
|
| 131 | skite | 2 |
0.3%
|
| 132 | skip jack tuna | 0 |
0%
|
| 133 | snapper | 8 |
1.1%
|
| 134 | sole | 0 |
0%
|
| 135 | spanish | 5 |
0.7%
|
| 136 | tenny | 2 |
0.3%
|
| 137 | tiger shrimps | 0 |
0%
|
| 138 | whiting | 3 |
0.4%
|
| 139 | yellowfin tuna | 0 |
0%
|
| 140 | shrimps | 6 |
0.9%
|
| 141 | tuna | 0 |
0%
|
| 142 | octopus | 0 |
0%
|
| 143 | rogie | 0 |
0%
|
| 144 | white shrimps | 2 |
0.3%
|
| 145 | other tuna | 2 |
0.3%
|
| 146 | snail | 12 |
1.7%
|
| 147 | brown shrimps | 9 |
1.3%
|
| 148 | squid | 0 |
0%
|
| 149 | deep water rose shrimp | 0 |
0%
|
| 150 | other fish | 119 |
17%
|
| Sysmiss | 10 |
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.