Integrated Household Survey 2018
Sierra Leone, 2018
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
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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
V35a. In [MONTH] what kinds of fish / shellfish did you mostly catch in terms of (v35a)
Data file: slihs2018_v30.dta
Overview
Valid:
702
Invalid:
6
Minimum:
0
Maximum:
150
Type:
Discrete
Decimal:
0
Start:
70
End:
72
Width:
3
Range:
0 - 150
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | No more fish | 7 |
1%
|
| 101 | bonga | 126 |
17.9%
|
| 102 | bonito | 3 |
0.4%
|
| 103 | butterfish | 20 |
2.8%
|
| 104 | catfish | 157 |
22.4%
|
| 105 | couta / kinni | 33 |
4.7%
|
| 106 | cowreh | 2 |
0.3%
|
| 107 | crab | 74 |
10.5%
|
| 108 | crocus | 7 |
1%
|
| 109 | cutmoney | 0 |
0%
|
| 110 | cuttlefish | 3 |
0.4%
|
| 111 | dolphin | 0 |
0%
|
| 112 | gwan-gwan | 55 |
7.8%
|
| 113 | herring | 22 |
3.1%
|
| 114 | joefish | 0 |
0%
|
| 115 | ladyfish | 28 |
4%
|
| 116 | lobster | 0 |
0%
|
| 117 | mackerel | 1 |
0.1%
|
| 120 | pink shrimps | 1 |
0.1%
|
| 121 | pollock | 10 |
1.4%
|
| 122 | pomp | 0 |
0%
|
| 124 | red grouper | 1 |
0.1%
|
| 125 | sea fowl | 1 |
0.1%
|
| 126 | shark | 5 |
0.7%
|
| 127 | sheephead | 0 |
0%
|
| 128 | shinenose | 13 |
1.9%
|
| 129 | shovelnose | 4 |
0.6%
|
| 130 | silverfish | 6 |
0.9%
|
| 131 | skite | 4 |
0.6%
|
| 132 | skip jack tuna | 0 |
0%
|
| 133 | snapper | 7 |
1%
|
| 134 | sole | 0 |
0%
|
| 135 | spanish | 2 |
0.3%
|
| 136 | tenny | 3 |
0.4%
|
| 137 | tiger shrimps | 0 |
0%
|
| 138 | whiting | 4 |
0.6%
|
| 139 | yellowfin tuna | 0 |
0%
|
| 140 | shrimps | 13 |
1.9%
|
| 141 | tuna | 0 |
0%
|
| 142 | octopus | 0 |
0%
|
| 143 | rogie | 0 |
0%
|
| 144 | white shrimps | 0 |
0%
|
| 145 | other tuna | 2 |
0.3%
|
| 146 | snail | 26 |
3.7%
|
| 147 | brown shrimps | 11 |
1.6%
|
| 148 | squid | 0 |
0%
|
| 149 | deep water rose shrimp | 2 |
0.3%
|
| 150 | other fish | 49 |
7%
|
| Sysmiss | 6 |
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.