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    Home / Central Data Catalog / LSMS / ETH_2021_ESPS-W5_V02_M / variable [F68]
lsms

Socio-Economic Panel Survey 2021-2022
Wave 5

Ethiopia, 2021 - 2022
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Reference ID
ETH_2021_ESPS-W5_v02_M
Producer(s)
Ethiopian Statistical Service (ESS)
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 25, 2024
Last modified
Sep 29, 2025
Page views
237112
Downloads
31716
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • sect_cover_hh_w5.dta
  • sect1_hh_w5.dta
  • sect2_hh_w5.dta
  • sect3_hh_w5.dta
  • sect3b_hh_w5.dta
  • sect4_hh_w5.dta
  • sect5a_hh_w5.dta
  • sect5b_hh_w5.dta
  • sect6a_hh_w5.dta
  • sect6b2_hh_w5.dta
  • sect6b3_hh_w5.dta
  • sect6b4_hh_w5.dta
  • sect6c_hh_w5.dta
  • sect7a_hh_w5.dta
  • sect7b_hh_w5.dta
  • sect8_hh_w5.dta
  • sect9_hh_w5.dta
  • sect10a_hh_w5.dta
  • sect11_hh_w5.dta
  • sect12a_hh_w5.dta
  • sect12b1_hh_w5.dta
  • sect12b2_hh_w5.dta
  • sect12c_hh_w5.dta
  • sect12c_q1_hh_w5.dta
  • sect12d_hh_w5.dta
  • sect12e_hh_w5.dta
  • sect12f_hh_w5.dta
  • sect13_hh_w5.dta
  • sect14_hh_w5.dta
  • sect15a_hh_w5.dta
  • sect15b_hh_w5.dta
  • sect01a_com_w5.dta
  • sect01b_com_w5.dta
  • sect02_com_w5.dta
  • sect03_com_w5.dta
  • sect04_com_w5.dta
  • sect05_com_w5.dta
  • sect06_com_w5.dta
  • sect07_com_w5.dta
  • sect08_com_w5.dta
  • sect09_com_w5.dta
  • sect10a_com_w5.dta
  • sect10b_com_w5.dta
  • sect11_com_w5.dta
  • sect12_com_w5.dta
  • sect_cover_pp_w5.dta
  • sect1_pp_w5.dta
  • sect2_pp_w5.dta
  • sect3_pp_w5.dta
  • sect4_pp_w5.dta
  • sect5_pp_w5.dta
  • sect7_pp_w5.dta
  • sect9a_pp_w5.dta
  • sect_cover_ph_w5.dta
  • sect1_ph_w5.dta
  • sect9_ph_w5.dta
  • sect10_ph_w5.dta
  • sect11_ph_w5.dta
  • sect_cover_ls_w5.dta
  • sect8_1_ls_w5.dta
  • sect8_2_ls_w5.dta
  • sect8_3_ls_w5.dta
  • sect8_4_ls_w5.dta
  • eth_householdgeovariables_y5.dta
  • eth_plotgeovariables_y5.dta
  • cons_agg_w5.dta
  • crop_cf_wave5.dta
  • food_cf_wave5.dta

Item code (as found in ESS3 HH Section 5a) (item_cd)

Data file: food_cf_wave5.dta

Overview

Valid: 981
Invalid: 288
Minimum: 1
Maximum: 206
Type: Discrete
Decimal: 0
Start: 4
End: 6
Width: 3
Range: 1 - 206
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 1. Teff 27
2.8%
2 2. Wheat 30
3.1%
3 3. Barley 29
3%
4 4. Maize 36
3.7%
5 5. Sorghum 30
3.1%
6 6. Millet 27
2.8%
7 7. Horsebeans 29
3%
8 8. Field Pea 29
3%
9 9. Chick Pea 29
3%
10 10. Lentils 29
3%
11 11. Haricot Beans 28
2.9%
12 12. Niger Seed 31
3.2%
13 13. Linseed 29
3%
14 14. Onion 26
2.7%
15 15. Banana 18
1.8%
16 16. Potato 30
3.1%
17 17. Kocho 13
1.3%
19 19. Milk 18
1.8%
20 20. Cheese 23
2.3%
21 21. Eggs 7
0.7%
22 22. Sugar 27
2.8%
23 23. Salt 26
2.7%
24 24. Coffee 33
3.4%
25 25. Chat / Kat 21
2.1%
26 26. Bula 8
0.8%
60 60. Other cereal (SPECIFY) 3
0.3%
110 110. Ground nuts 29
3%
111 111. Other pulse or nut (SPECIFY) 2
0.2%
131 131. Other seed (SPECIFY) 3
0.3%
141 141. Green chili pepper (kariya) 40
4.1%
142 142. Red pepper (berbere) 29
3%
143 143. Greens (kale, cabbage, etc.) 23
2.3%
144 144. Tomato 19
1.9%
145 145. Other vegetable (SPECIFY) 2
0.2%
151 151. Orange 20
2%
152 152. Other fruit (SPECIFY) 3
0.3%
170 170. Sweet potato 21
2.1%
171 171. Boye/Yam 7
0.7%
172 172. Cassava 2
0.2%
173 173. Godere 19
1.9%
180 180. Goat & mutton meat 3
0.3%
181 181. Beef 6
0.6%
182 182. Poultry 3
0.3%
183 183. Fish 3
0.3%
195 195. Purchased Injera 3
0.3%
196 196. Purchased Bread or Biscuits 4
0.4%
197 197. Pasta\Maccaroni 7
0.7%
198 198. Other prepared food and consumed at home 2
0.2%
201 201. butter/ghee 16
1.6%
202 202. Oils (processed) 18
1.8%
203 203. Tea 5
0.5%
204 204. Soft drinks/Soda 20
2%
205 205. Beer 20
2%
206 206. Tella 16
1.6%
901 901. Oats 0
0%
902 902. Vetch 0
0%
903 903. Sesame 0
0%
904 904. Sunflower 0
0%
905 905. Fenugreek 0
0%
906 906. Lemons 0
0%
907 907. Mangos 0
0%
908 908. Beet root 0
0%
909 909. Cabbage 0
0%
910 910. Carrot 0
0%
911 911. Garlic 0
0%
912 912. Kale 0
0%
913 913. Pumpkins 0
0%
914 914. Gesho 0
0%
915 915. Avocados 0
0%
Sysmiss 288
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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