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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
26883
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

R6d. In the past 12 months, for which crops was [ITEM] used? (crop 4) (r6d)

Data file: slihs2018_r1.dta

Overview

Valid: 1061
Invalid: 87837
Minimum: 1
Maximum: 150
Type: Discrete
Decimal: 0
Start: 56
End: 58
Width: 3
Range: 1 - 150
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 not used for ffarm 0
0%
1 Rice 21
2%
2 Maize / Corn 90
8.5%
3 Millet / Fundi 5
0.5%
4 Sorghum 33
3.1%
5 Other cereal 11
1%
6 Cassava 81
7.6%
7 Sweet potato 33
3.1%
8 Yam 41
3.9%
9 Cocoyam 21
2%
10 Chinese Yam 3
0.3%
11 Other tuber 3
0.3%
12 Groundnut 61
5.7%
13 Black eye beans 19
1.8%
14 Kunsho / Pigeon Peas 18
1.7%
15 Broad beans 39
3.7%
16 Runner beans 1
0.1%
17 other beans 3
0.3%
18 Pepper 62
5.8%
19 Cucumber 9
0.8%
20 Garden eggs 25
2.4%
21 Okra 59
5.6%
22 Tomatoes 3
0.3%
23 Onions 2
0.2%
24 Jackatoe 32
3%
25 Carrot 0
0%
26 Water melon 2
0.2%
27 Pumpkin 7
0.7%
28 Garlic 0
0%
29 Ogusi 9
0.8%
30 Lettuce 0
0%
31 Cabbage 0
0%
32 Cassava leaves 64
6%
33 Potato leaves 39
3.7%
34 Crain crain 25
2.4%
35 Sawa Sawa 0
0%
36 other vegetables 15
1.4%
45 Cotton 0
0%
50 Coffee 19
1.8%
51 Cacoa 18
1.7%
52 Oil Palm 47
4.4%
53 Cashew 0
0%
54 Kola nut 7
0.7%
55 Jatropha / fignut 0
0%
56 Rubber 1
0.1%
60 Mango 6
0.6%
61 Orange 0
0%
62 Banana 11
1%
63 Plantain 7
0.7%
64 Coconut 7
0.7%
65 Guava 0
0%
66 Pawpaw 2
0.2%
67 Avocado 2
0.2%
68 Lime 0
0%
69 Lemon 0
0%
70 Grapefruit 0
0%
71 Meringa 1
0.1%
99 Other crop 51
4.8%
101 Bonga 3
0.3%
102 Bonita 0
0%
103 Butterfish 0
0%
104 Catfish 1
0.1%
105 Couta / kinni 3
0.3%
106 Cowreh 0
0%
107 Crab 5
0.5%
108 Crocus 2
0.2%
109 Cutmoney 0
0%
110 Cuttlefish 0
0%
111 Dolphin 0
0%
112 Gwan gwan 2
0.2%
113 Herring 7
0.7%
114 Joefish 0
0%
115 Ladyfish 1
0.1%
116 Lobster 0
0%
117 Mackerel 0
0%
120 Pink shrimps 0
0%
121 Pollock 2
0.2%
122 Pomp 1
0.1%
124 Red Grouper 0
0%
125 Sea fowl 0
0%
126 Shark 0
0%
127 Sheephead 1
0.1%
128 Shinenose 4
0.4%
129 Shovelnose 0
0%
130 Silverfish 0
0%
131 Skite 0
0%
132 Skip jack tuna 0
0%
133 Snapper 2
0.2%
134 Sole 0
0%
135 Spanish 3
0.3%
136 Tenny 2
0.2%
137 Tiger shrimps 0
0%
138 Whiting 1
0.1%
139 Yellowfin tuna 0
0%
140 Shrimps 1
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 0
0%
147 Brown shrimps 0
0%
148 Squid 0
0%
149 Deep water rose shrimp 0
0%
150 Other fish 5
0.5%
Sysmiss 87837
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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