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    Home / Central Data Catalog / SLE_2018_SLIHS_V01_M / variable [F16]
central

Integrated Household Survey 2018

Sierra Leone, 2018
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Reference ID
SLE_2018_SLIHS_v01_M
Producer(s)
Statistics Sierra Leone, The World Bank
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
26812
Downloads
943
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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

R6c. In the past 12 months, for which crops was [ITEM] used? (crop 3) (r6c)

Data file: slihs2018_r1.dta

Overview

Valid: 2735
Invalid: 86163
Minimum: 1
Maximum: 150
Type: Discrete
Decimal: 0
Start: 53
End: 55
Width: 3
Range: 1 - 150
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 not used for ffarm 0
0%
1 Rice 94
3.4%
2 Maize / Corn 145
5.3%
3 Millet / Fundi 84
3.1%
4 Sorghum 23
0.8%
5 Other cereal 89
3.3%
6 Cassava 289
10.6%
7 Sweet potato 89
3.3%
8 Yam 72
2.6%
9 Cocoyam 54
2%
10 Chinese Yam 4
0.1%
11 Other tuber 1
0%
12 Groundnut 402
14.7%
13 Black eye beans 50
1.8%
14 Kunsho / Pigeon Peas 25
0.9%
15 Broad beans 71
2.6%
16 Runner beans 3
0.1%
17 other beans 6
0.2%
18 Pepper 305
11.2%
19 Cucumber 29
1.1%
20 Garden eggs 28
1%
21 Okra 92
3.4%
22 Tomatoes 10
0.4%
23 Onions 4
0.1%
24 Jackatoe 94
3.4%
25 Carrot 0
0%
26 Water melon 0
0%
27 Pumpkin 7
0.3%
28 Garlic 0
0%
29 Ogusi 10
0.4%
30 Lettuce 5
0.2%
31 Cabbage 0
0%
32 Cassava leaves 80
2.9%
33 Potato leaves 59
2.2%
34 Crain crain 60
2.2%
35 Sawa Sawa 4
0.1%
36 other vegetables 15
0.5%
45 Cotton 0
0%
50 Coffee 17
0.6%
51 Cacoa 57
2.1%
52 Oil Palm 103
3.8%
53 Cashew 0
0%
54 Kola nut 3
0.1%
55 Jatropha / fignut 0
0%
56 Rubber 1
0%
60 Mango 22
0.8%
61 Orange 5
0.2%
62 Banana 23
0.8%
63 Plantain 10
0.4%
64 Coconut 24
0.9%
65 Guava 1
0%
66 Pawpaw 0
0%
67 Avocado 4
0.1%
68 Lime 0
0%
69 Lemon 0
0%
70 Grapefruit 1
0%
71 Meringa 0
0%
99 Other crop 62
2.3%
101 Bonga 7
0.3%
102 Bonita 1
0%
103 Butterfish 0
0%
104 Catfish 7
0.3%
105 Couta / kinni 4
0.1%
106 Cowreh 0
0%
107 Crab 14
0.5%
108 Crocus 6
0.2%
109 Cutmoney 0
0%
110 Cuttlefish 0
0%
111 Dolphin 0
0%
112 Gwan gwan 6
0.2%
113 Herring 11
0.4%
114 Joefish 0
0%
115 Ladyfish 3
0.1%
116 Lobster 0
0%
117 Mackerel 1
0%
120 Pink shrimps 0
0%
121 Pollock 5
0.2%
122 Pomp 0
0%
124 Red Grouper 0
0%
125 Sea fowl 0
0%
126 Shark 0
0%
127 Sheephead 2
0.1%
128 Shinenose 4
0.1%
129 Shovelnose 0
0%
130 Silverfish 0
0%
131 Skite 1
0%
132 Skip jack tuna 0
0%
133 Snapper 6
0.2%
134 Sole 0
0%
135 Spanish 0
0%
136 Tenny 3
0.1%
137 Tiger shrimps 0
0%
138 Whiting 0
0%
139 Yellowfin tuna 0
0%
140 Shrimps 2
0.1%
141 Tuna 0
0%
142 Octopus 0
0%
143 Rogie 0
0%
144 White shrimps 0
0%
145 Other tuna 0
0%
146 Snail 9
0.3%
147 Brown shrimps 0
0%
148 Squid 0
0%
149 Deep water rose shrimp 0
0%
150 Other fish 7
0.3%
Sysmiss 86163
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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