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
S3. Crop code (s3)
Data file: slihs2018_s.dta
Overview
Valid:
7437
Invalid:
14
Minimum:
1
Maximum:
99
Type:
Discrete
Decimal:
0
Start:
61
End:
62
Width:
2
Range:
1 - 99
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Rice | 3072 |
41.3%
|
| 2 | Maize / Corn | 498 |
6.7%
|
| 3 | Millet / Fundi | 40 |
0.5%
|
| 4 | Sorghum | 58 |
0.8%
|
| 5 | Other cereal | 38 |
0.5%
|
| 7 | Sweet potato | 174 |
2.3%
|
| 8 | Yam | 132 |
1.8%
|
| 9 | Cocoyam | 79 |
1.1%
|
| 10 | Chinese Yam | 8 |
0.1%
|
| 11 | Other tuber | 10 |
0.1%
|
| 12 | Groundnut | 957 |
12.9%
|
| 13 | Black eye beans | 71 |
1%
|
| 14 | Kunsho / Pigeon Peas | 101 |
1.4%
|
| 15 | Broad beans | 192 |
2.6%
|
| 16 | Runner beans | 7 |
0.1%
|
| 17 | other beans | 16 |
0.2%
|
| 18 | Pepper | 678 |
9.1%
|
| 19 | Cucumber | 164 |
2.2%
|
| 20 | Garden eggs | 104 |
1.4%
|
| 21 | Okra | 283 |
3.8%
|
| 22 | Tomatoes | 34 |
0.5%
|
| 23 | Onions | 17 |
0.2%
|
| 24 | Jackatoe | 151 |
2%
|
| 25 | Carrot | 0 |
0%
|
| 26 | Water melon | 2 |
0%
|
| 27 | Pumpkin | 50 |
0.7%
|
| 28 | Garlic | 0 |
0%
|
| 29 | Ogusi | 6 |
0.1%
|
| 30 | Lettuce | 1 |
0%
|
| 31 | Cabbage | 1 |
0%
|
| 33 | Potato leaves | 221 |
3%
|
| 34 | Crain crain | 166 |
2.2%
|
| 35 | Sawa Sawa | 13 |
0.2%
|
| 36 | other vegetables | 32 |
0.4%
|
| 45 | Cotton | 0 |
0%
|
| 99 | Other | 61 |
0.8%
|
| Sysmiss | 14 |
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.