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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
30116
Downloads
1003
  • 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

R6b. In the past 12 months, for which crops was [ITEM] used? (crop 2) (r6b)

Data file: slihs2018_r1.dta

Overview

Valid: 6124
Invalid: 82774
Minimum: 1
Maximum: 150
Type: Discrete
Decimal: 0
Start: 50
End: 52
Width: 3
Range: 1 - 150
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 not used for ffarm 0
0%
1 Rice 336
5.5%
2 Maize / Corn 533
8.7%
3 Millet / Fundi 67
1.1%
4 Sorghum 38
0.6%
5 Other cereal 95
1.6%
6 Cassava 970
15.8%
7 Sweet potato 147
2.4%
8 Yam 92
1.5%
9 Cocoyam 36
0.6%
10 Chinese Yam 11
0.2%
11 Other tuber 10
0.2%
12 Groundnut 1668
27.2%
13 Black eye beans 50
0.8%
14 Kunsho / Pigeon Peas 43
0.7%
15 Broad beans 40
0.7%
16 Runner beans 4
0.1%
17 other beans 13
0.2%
18 Pepper 753
12.3%
19 Cucumber 28
0.5%
20 Garden eggs 30
0.5%
21 Okra 79
1.3%
22 Tomatoes 5
0.1%
23 Onions 18
0.3%
24 Jackatoe 39
0.6%
25 Carrot 1
0%
26 Water melon 1
0%
27 Pumpkin 7
0.1%
28 Garlic 0
0%
29 Ogusi 4
0.1%
30 Lettuce 4
0.1%
31 Cabbage 3
0%
32 Cassava leaves 28
0.5%
33 Potato leaves 101
1.6%
34 Crain crain 52
0.8%
35 Sawa Sawa 1
0%
36 other vegetables 15
0.2%
45 Cotton 5
0.1%
50 Coffee 28
0.5%
51 Cacoa 107
1.7%
52 Oil Palm 176
2.9%
53 Cashew 1
0%
54 Kola nut 3
0%
55 Jatropha / fignut 1
0%
56 Rubber 6
0.1%
60 Mango 35
0.6%
61 Orange 4
0.1%
62 Banana 48
0.8%
63 Plantain 16
0.3%
64 Coconut 69
1.1%
65 Guava 2
0%
66 Pawpaw 0
0%
67 Avocado 4
0.1%
68 Lime 0
0%
69 Lemon 0
0%
70 Grapefruit 0
0%
71 Meringa 2
0%
99 Other crop 146
2.4%
101 Bonga 20
0.3%
102 Bonita 1
0%
103 Butterfish 1
0%
104 Catfish 36
0.6%
105 Couta / kinni 20
0.3%
106 Cowreh 1
0%
107 Crab 13
0.2%
108 Crocus 1
0%
109 Cutmoney 0
0%
110 Cuttlefish 4
0.1%
111 Dolphin 0
0%
112 Gwan gwan 4
0.1%
113 Herring 21
0.3%
114 Joefish 0
0%
115 Ladyfish 2
0%
116 Lobster 0
0%
117 Mackerel 0
0%
120 Pink shrimps 0
0%
121 Pollock 2
0%
122 Pomp 0
0%
124 Red Grouper 2
0%
125 Sea fowl 0
0%
126 Shark 0
0%
127 Sheephead 2
0%
128 Shinenose 2
0%
129 Shovelnose 1
0%
130 Silverfish 0
0%
131 Skite 0
0%
132 Skip jack tuna 0
0%
133 Snapper 4
0.1%
134 Sole 0
0%
135 Spanish 1
0%
136 Tenny 2
0%
137 Tiger shrimps 0
0%
138 Whiting 0
0%
139 Yellowfin tuna 0
0%
140 Shrimps 1
0%
141 Tuna 0
0%
142 Octopus 0
0%
143 Rogie 0
0%
144 White shrimps 0
0%
145 Other tuna 0
0%
146 Snail 2
0%
147 Brown shrimps 0
0%
148 Squid 0
0%
149 Deep water rose shrimp 0
0%
150 Other fish 6
0.1%
Sysmiss 82774
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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