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    Home / Central Data Catalog / LSMS / ETH_2013_LASER_V02_M / variable [F6]
lsms

Land and Soil Experimental Research 2013

Ethiopia, 2013 - 2014
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Reference ID
ETH_2013_LASER_v02_M
DOI
https://doi.org/10.48529/9pwg-as66
Producer(s)
Central Statistical Agency of Ethiopia
Collection(s)
Living Standards Measurement Study (LSMS) Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Sep 01, 2016
Last modified
Jan 30, 2020
Page views
76051
Downloads
12909
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • Crop_Cutting
  • PH_Cover_Page
  • PH1_Household_Member_R
  • PH2_1_Field_Roster
  • PH2_Harvest
  • PH3_Crop_Disposition
  • PH4_Harvest_Labor
  • Cover_Page
  • PP1_HH_Roster
  • PP2_Assets
  • PP3_Livestock
  • PP4_Parcel_Roster
  • PP5_Field_Roster
  • PP6_Field_Details
  • PP7_Crop_Details
  • PP8_Filed_Selection
  • PP9_1_CR
  • PP9_1_IN_FIELD_MEASUREMENT
  • PP9_2_CR
  • PP9_2_IN_Field_Measurement
  • LASER_SoilResults_V2_Ensemble

Crop code (cropcode)

Data file: PH3_Crop_Disposition

Overview

Valid: 3930
Invalid: 0
Type: Discrete
Decimal: 0
Start: 32
End: 34
Width: 3
Range: 1 - 123
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Barley 216
5.5%
2 Maize 551
14%
3 Millet 72
1.8%
4 Oats 3
0.1%
5 Rice 0
0%
6 Sorghum 191
4.9%
7 Teff 245
6.2%
8 Wheat 212
5.4%
9 Roman 0
0%
10 Cassava 1
0%
11 Chick peas 14
0.4%
12 Haricot beans 250
6.4%
13 Horse beans 99
2.5%
14 Lentils 0
0%
15 Field peas 28
0.7%
16 Vetch 1
0%
17 Gibto 0
0%
18 Soya beans 9
0.2%
19 Cactus 0
0%
20 Fennel 0
0%
21 Castor beans 10
0.3%
22 Cotton seed 0
0%
23 Lineseed 11
0.3%
24 Ground nuts 34
0.9%
25 Nueg 101
2.6%
26 Rape seed 130
3.3%
27 Sesame 21
0.5%
28 Sunflower 5
0.1%
29 Mego 0
0%
30 Savory 0
0%
31 Black cumin 0
0%
32 Black pepper 1
0%
33 Cardamom 0
0%
34 Chilies 0
0%
35 Cinnamon 0
0%
36 Fenugreek 8
0.2%
37 Ginger 14
0.4%
38 Red pepper 189
4.8%
39 Tumeric 2
0.1%
40 White lumin 0
0%
41 Apples 2
0.1%
42 Bananas 98
2.5%
43 Grapes 0
0%
44 Lemons 4
0.1%
45 Mandarins 0
0%
46 Mangos 43
1.1%
47 Oranges 7
0.2%
48 Papaya 7
0.2%
49 Pinapples 2
0.1%
50 Citron 0
0%
51 Beer root 20
0.5%
52 Cabbage 147
3.7%
53 Carrot 4
0.1%
54 Cauliflower 3
0.1%
55 Garlic 80
2%
56 Kale 12
0.3%
57 Lettuce 0
0%
58 Onion 34
0.9%
59 Green pepper 0
0%
60 Potatoes 95
2.4%
61 Pumpkins 107
2.7%
62 Sweet potato 56
1.4%
63 Tomatoes 5
0.1%
64 Godere 32
0.8%
65 Guava 1
0%
66 Peach 1
0%
67 Mustard 0
0%
68 Feto 1
0%
69 Spinach 0
0%
70 Green beans 0
0%
71 Chat 53
1.3%
72 Coffee 251
6.4%
73 Cotton 3
0.1%
74 Enset 274
7%
75 Gesho 44
1.1%
76 Sugar cane 14
0.4%
77 Tea 0
0%
78 Tobacco 10
0.3%
79 Coriander 3
0.1%
80 Sacred basil 13
0.3%
81 Rue 1
0%
82 Gishita 2
0.1%
83 Watermelon 0
0%
84 Avocados 11
0.3%
85 Grazing land 0
0%
86 Fallow land 0
0%
89 Forest land 0
0%
97 Pijapin 0
0%
98 Other root crops 18
0.5%
99 Other land 0
0%
100 Nl20f 0
0%
101 Wechino 0
0%
103 Wepal 0
0%
104 Keenkech 0
0%
105 Buya 0
0%
106 Dates 0
0%
107 Achino 0
0%
108 Amboshika 0
0%
109 Sisal 0
0%
110 Giramta 0
0%
111 Comtatie 0
0%
112 Kazmir 1
0%
113 Strawberry 0
0%
114 Shiferaw 0
0%
115 Other fruits 3
0.1%
116 Timiz kimem 0
0%
117 Other spices 15
0.4%
118 Other pulses 0
0%
119 Other oil seed 0
0%
120 Other cereal 2
0.1%
121 Other cash crops 0
0%
122 Others 20
0.5%
123 Other vegetable 13
0.3%
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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