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    Home / Central Data Catalog / ETH_2021_ESPS-W5_V02_M / variable [F47]
central

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)
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Jan 25, 2024
Last modified
Jan 26, 2024
Page views
63262
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470
  • Study Description
  • Data Dictionary
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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
  • 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_q1_hh_w5.dta
  • sect12c_hh_w5.dta
  • sect12d_hh_w5.dta
  • sect12e_hh_w5.dta
  • sect12f_hh_w5.dta
  • sect13_hh_w5.dta
  • sect14_hh_w5.dta
  • cons_agg_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
  • food_cf_wave5.dta
  • crop_cf_wave5.dta
  • sect5a_hh_w5.dta
  • sect5b_hh_w5.dta
  • sect15a_hh_w5.dta
  • sect15b_hh_w5.dta

9.What is the cause of the damage of [CROP] on [FIELD]? (s4q09)

Data file: sect3_pp_w5.dta

Overview

Valid: 3727
Invalid: 10512
Minimum: 1
Maximum: 16
Type: Discrete
Decimal: 0
Start: 197
End: 198
Width: 2
Range: 1 - 16
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 1. Too Much Rain 244
6.5%
2 2. Too Little Rain 1308
35.1%
3 3. Insects 555
14.9%
4 4. Crop Disease 900
24.1%
5 5. Weeds 110
3%
6 6. Hail 68
1.8%
7 7. Frost 134
3.6%
8 8. Floods 19
0.5%
9 9. Wild Animals 114
3.1%
10 10. Locust 3
0.1%
11 11. Birds 12
0.3%
12 12. Shortage of Seeds 11
0.3%
13 13. Depletion of Soil Fertility 133
3.6%
14 14. Security Problems 0
0%
15 15. Bad Seeds 29
0.8%
16 16. Other Specify 87
2.3%
Sysmiss 10512
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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