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    Home / Central Data Catalog / LSMS / ETH_2011_ERSS_V02_M / variable [F53]
lsms

Rural Socioeconomic Survey 2011-2012

Ethiopia, 2011 - 2012
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Reference ID
ETH_2011_ERSS_v02_M
DOI
https://doi.org/10.48529/80xt-9m68
Producer(s)
Central Statistical Agency, Living Standards Measurement Study Team
Collection(s)
Living Standards Measurement Study (LSMS) Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 05, 2014
Last modified
Jan 30, 2020
Page views
520916
Downloads
206367
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • ET_local_area_unit_conversion
  • Pub_ETH_HouseholdGeovariables_Y1
  • Pub_ETH_PlotGeovariables_Y1
  • sect_cover_hh_w1
  • sect_cover_ls_w1
  • sect_cover_ph_w1
  • sect_cover_pp_w1
  • sect_nr_ph_w1
  • sect_nr_pp_w1
  • sect1_hh_w1
  • sect1_ls_w1
  • sect1_ph_w1
  • sect1_pp_w1
  • sect1a_com_w1
  • sect1b_com_w1
  • sect2_com_w1
  • sect2_hh_w1
  • sect2_pp_w1
  • sect3_com_w1
  • sect3_hh_w1
  • sect3_pp_w1
  • sect3_rca_pp_w1
  • sect3_rcb_pp_w1
  • sect4_com_w1
  • sect4_hh_w1
  • sect4_pp_w1
  • sect5_com_w1
  • sect5_pp_w1
  • sect5a_hh_w1
  • sect5b_hh_w1
  • sect5c1_hh_w1
  • sect5c2_hh_w1
  • sect6_com_w1
  • sect6a_hh_w1
  • sect6b_hh_w1
  • sect7_com_w1
  • sect7_hh_w1
  • sect7_pp_w1
  • sect8_com_w1
  • sect8_hh_w1
  • sect8a_ls_w1
  • sect8b_ls_w1
  • sect8c_ls_w1
  • sect9_com_w1
  • sect9_hh_w1
  • sect9_ph_w1
  • sect10_hh_w1
  • sect10_ph_w1
  • sect10a1_com_w1
  • sect10a2_com_w1
  • sect10b1_com_w1
  • sect10b2_com_w1
  • sect11_ph_w1
  • sect11a_hh_w1
  • sect11b_hh_w1
  • sect11c_hh_w1
  • sect12_hh_w1
  • sect12_ph_w1
  • sect13_hh_w1
  • sect14a_hh_w1
  • sect14b_hh_w1
  • cons_agg_w1
  • Food_CF_Wave1

Crop Code (crop_code)

Data file: sect11_ph_w1

Overview

Valid: 8808
Invalid: 418
Type: Discrete
Decimal: 0
Start: 88
End: 90
Width: 3
Range: 0 - 123
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 1
0%
1 BARLEY 633
7.2%
2 MAIZE 1743
19.8%
3 MILLET 336
3.8%
4 OATS 11
0.1%
5 RICE 18
0.2%
6 SORGHUM 1209
13.7%
7 TEFF 1054
12%
8 WHEAT 635
7.2%
9 ROMAN 0
0%
10 CASSAVA 0
0%
11 CHICK PEAS 151
1.7%
12 HARICOT BEANS 550
6.2%
13 HORSE BEANS 542
6.2%
14 LENTILS 109
1.2%
15 FIELD PEAS 237
2.7%
16 VETCH 106
1.2%
17 GIBTO 36
0.4%
18 SOYA BEANS 23
0.3%
19 CACTUS 0
0%
20 FENNEL 1
0%
21 CASTOR BEANS 0
0%
22 COTTON SEED 1
0%
23 LINESEED 166
1.9%
24 GROUND NUTS 101
1.1%
25 NUEG 206
2.3%
26 RAPE SEED 190
2.2%
27 SESAME 197
2.2%
28 SUNFLOWER 37
0.4%
29 MEGO 0
0%
30 SAVORY 0
0%
31 BLACK CUMIN 9
0.1%
32 BLACK PEPPER 0
0%
33 CARDAMON 45
0.5%
34 CHILIES 10
0.1%
35 CINNAMON 2
0%
36 FENUGREEK 123
1.4%
37 GINGER 53
0.6%
38 RED PEPPER 0
0%
39 TUMERIC 16
0.2%
40 WHITE LUMIN 4
0%
41 APPLES 0
0%
42 BANANAS 0
0%
43 GRAPES 0
0%
44 LEMONS 0
0%
45 MANDARINS 0
0%
46 MANGOS 0
0%
47 ORANGES 0
0%
48 PAPAYA 0
0%
49 PINAPPLES 0
0%
50 CITRON 0
0%
51 BEER ROOT 0
0%
52 CABBAGE 0
0%
53 CARROT 0
0%
54 CAULIFLOWER 0
0%
55 GARLIC 0
0%
56 KALE 0
0%
57 LETTUCE 0
0%
58 ONION 0
0%
59 GREEN PEPPER 0
0%
60 POTATOES 0
0%
61 PUMPKINS 0
0%
62 SWEET POTATO 0
0%
63 TOMATOES 0
0%
64 GODERE 0
0%
65 GUAVA 0
0%
66 PEACH 0
0%
67 MUSTARD 1
0%
68 FETO 0
0%
69 SPINACH 0
0%
70 GREEN BEANS 0
0%
71 CHAT 0
0%
72 COFFEE 0
0%
73 COTTON 0
0%
74 ENSET 0
0%
75 GESHO 0
0%
76 SUGAR CANE 0
0%
77 TEA 0
0%
78 TOBACCO 0
0%
79 CORIANDER 38
0.4%
80 SACRED BASIL 4
0%
81 RUE 62
0.7%
82 GISHITA 0
0%
83 WATERMELON 0
0%
84 AVOCADOS 0
0%
85 GRAZING LAND 0
0%
86 FALLOW LAND 0
0%
89 FOREST LAND 0
0%
97 PIJAPIN 0
0%
98 OTHER ROOT CROPS 0
0%
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 0
0%
113 STRAWBERRY 0
0%
114 SHIFERAW 0
0%
115 OTHER FRUITS 0
0%
116 TIMIZ KIMEM 1
0%
117 OTHER SPICES 125
1.4%
118 OTHER PULSES 15
0.2%
119 OTHER OIL SEED 2
0%
120 OTHER CEREAL 2
0%
121 OTHER CASH CROPS 0
0%
122 OTHERS 3
0%
123 OTHER VEGETABLE 0
0%
Sysmiss 418
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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