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    Home / Central Data Catalog / LSMS / ETH_2015_ESS_V03_M / variable [F2]
lsms

Socioeconomic Survey 2015-2016, Wave 3

Ethiopia, 2015 - 2016
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Reference ID
ETH_2015_ESS_v03_M
DOI
https://doi.org/10.48529/ampf-7988
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
Feb 16, 2017
Last modified
Apr 21, 2020
Page views
898635
Downloads
2380070
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • Food_CF_Wave3
  • sect_cover_hh_w3
  • sect1_hh_w3
  • sect2_hh_w3
  • sect3_hh_w3
  • sect4_hh_w3
  • sect4b_hh_w3
  • sect5a_hh_w3
  • sect5b_hh_w3
  • sect5c1_hh_w3
  • sect5c2_hh_w3
  • sect5d_hh_w3
  • sect6a_hh_w3
  • sect6b_hh_w3
  • sect7_hh_w3
  • sect8_hh_w3
  • sect9_hh_w3
  • sect10_hh_w3
  • sect11a_hh_w3
  • sect11b_hh_w3
  • sect11c_hh_w3
  • sect12_hh_w3
  • sect13_hh_w3
  • sect14a_hh_w3
  • sect14b_hh_w3
  • sect14c_hh_w3
  • sect_cover_ls_w3
  • sect1_ls_w3
  • sect8_1_ls_w3
  • sect8_2_ls_w3
  • sect8_3_ls_w3
  • sect8_4_ls_w3
  • sect8_5_ls_w3
  • sect8_6_ls_w3
  • sect8_7a_ls_w3
  • sect8_7b_ls_w3
  • sect_cover_pp_w3
  • sect02_com_w3
  • sect10a1_com_w3
  • sect09_com_w3
  • sect07_com_w3
  • sect08_com_w3
  • sect06_com_w3
  • sect05_com_w3
  • sect03_com_w3
  • sect04_com_w3
  • sect01b_com_w3
  • sectnr_ph_w3
  • sect12_ph_w3
  • sect11_ph_w3
  • sect10_ph_w3
  • sect9_ph_w3
  • sect9a_ph_w3
  • sect1_ph_w3
  • sect_cover_ph_w3
  • sect_3rca_pp_w3
  • sect_cover_cc_w3
  • sect_3rcb_pp_w3
  • sectnr_pp_w3
  • sect7_pp_w3
  • sect5_pp_w3
  • sect4_pp_w3
  • sect3_pp_w3
  • sect2_pp_w3
  • sect1_pp_w3
  • sect10a2_com_w3
  • ET_local_area_unit_conversion
  • cons_agg_w3
  • sect01a_com_w3
  • Crop_CF_Wave3
  • ETH_HouseholdGeovars_y3
  • ETH_PlotGeovariables_Y3
  • WQT Data
    without
    processed data

Item code (FOR MERGING WITH CONVERSION FACTORS) (item_cd_cf)

Data file: Food_CF_Wave3

Overview

Valid: 1269
Invalid: 0
Minimum: 1
Maximum: 915
Type: Discrete
Decimal: 0
Start: 1
End: 3
Width: 3
Range: 1 - 915
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 1. Teff 27
2.1%
2 2. Wheat 30
2.4%
3 3. Barley 29
2.3%
4 4. Maize 36
2.8%
5 5. Sorghum 30
2.4%
6 6. Millet 27
2.1%
7 7. Horsebeans 29
2.3%
8 8. Field Pea 29
2.3%
9 9. Chick Pea 29
2.3%
10 10. Lentils 29
2.3%
11 11. Haricot Beans 28
2.2%
12 12. Niger Seed 31
2.4%
13 13. Linseed 29
2.3%
14 14. Onion 26
2%
15 15. Banana 18
1.4%
16 16. Potato 30
2.4%
17 17. Kocho 13
1%
19 19. Milk 18
1.4%
20 20. Cheese 23
1.8%
21 21. Eggs 7
0.6%
22 22. Sugar 27
2.1%
23 23. Salt 26
2%
24 24. Coffee 33
2.6%
25 25. Chat / Kat 21
1.7%
26 26. Bula 8
0.6%
60 60. Other cereal (SPECIFY) 3
0.2%
110 110. Ground nuts 29
2.3%
111 111. Other pulse or nut (SPECIFY) 2
0.2%
131 131. Other seed (SPECIFY) 3
0.2%
141 141. Green chili pepper (kariya) 40
3.2%
142 142. Red pepper (berbere) 29
2.3%
143 143. Greens (kale, cabbage, etc.) 23
1.8%
144 144. Tomato 19
1.5%
145 145. Other vegetable (SPECIFY) 2
0.2%
151 151. Orange 20
1.6%
152 152. Other fruit (SPECIFY) 3
0.2%
170 170. Sweet potato 21
1.7%
171 171. Boye/Yam 7
0.6%
172 172. Cassava 2
0.2%
173 173. Godere 19
1.5%
180 180. Goat & mutton meat 3
0.2%
181 181. Beef 6
0.5%
182 182. Poultry 3
0.2%
183 183. Fish 3
0.2%
195 195. Purchased Injera 3
0.2%
196 196. Purchased Bread or Biscuits 4
0.3%
197 197. Pasta\Maccaroni 7
0.6%
198 198. Other prepared food and consumed at home 2
0.2%
201 201. butter/ghee 16
1.3%
202 202. Oils (processed) 18
1.4%
203 203. Tea 5
0.4%
204 204. Soft drinks/Soda 20
1.6%
205 205. Beer 20
1.6%
206 206. Tella 16
1.3%
901 901. Oats 29
2.3%
902 902. Vetch 30
2.4%
903 903. Sesame 29
2.3%
904 904. Sunflower 28
2.2%
905 905. Fenugreek 30
2.4%
906 906. Lemons 13
1%
907 907. Mangos 23
1.8%
908 908. Beet root 8
0.6%
909 909. Cabbage 5
0.4%
910 910. Carrot 9
0.7%
911 911. Garlic 22
1.7%
912 912. Kale 16
1.3%
913 913. Pumpkins 3
0.2%
914 914. Gesho 22
1.7%
915 915. Avocados 21
1.7%
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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