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    Home / Central Data Catalog / ETH_2018_ESS_V03_M / variable [F48]
central

Socioeconomic Survey 2018-2019

Ethiopia, 2018 - 2019
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Reference ID
ETH_2018_ESS_v03_M
Producer(s)
Central Statistics Agency of Ethiopia
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
53921
Downloads
1405
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • sect_cover_hh_w4.dta
  • sect1_hh_w4.dta
  • sect2_hh_w4.dta
  • sect3_hh_w4.dta
  • sect4_hh_w4.dta
  • sect5a_hh_w4.dta
  • sect5b1_hh_w4.dta
  • sect5b2_hh_w4.dta
  • sect6a_hh_w4.dta
  • sect6b1_hh_w4.dta
  • sect6b2_hh_w4.dta
  • sect6b3_hh_w4.dta
  • sect6b4_hh_w4.dta
  • sect7a_hh_w4.dta
  • sect8_hh_w4.dta
  • sect9_hh_w4.dta
  • sect10a_hh_w4.dta
  • sect10b_hh_w4.dta
  • sect10c_hh_w4.dta
  • sect10d1_hh_w4.dta
  • sect10d2_hh_w4.dta
  • sect11_hh_w4.dta
  • sect11b1_hh_w4.dta
  • sect11b2_hh_w4.dta
  • sect12a_hh_w4.dta
  • sect12b1_hh_w4.dta
  • sect12b2_hh_w4.dta
  • sect14_hh_w4.dta
  • sect15a_hh_w4.dta
  • sect15b_hh_w4.dta
  • sect_cover_ls_w4.dta
  • sect8_1_ls_w4.dta
  • sect8_2_ls_w4.dta
  • sect8_3_ls_w4.dta
  • sect8_4_ls_w4.dta
  • sect_cover_ph_w4.dta
  • sect1_ph_w4.dta
  • sect9_ph_w4.dta
  • sect10_ph_w4.dta
  • sect11_ph_w4.dta
  • sect_cover_pp_w4.dta
  • sect1_pp_w4.dta
  • sect2_pp_w4.dta
  • sect3_pp_w4.dta
  • sect4_pp_w4.dta
  • sect5_pp_w4.dta
  • sect7_pp_w4.dta
  • sect9a_pp_w4.dta
  • sect01a_com_w4.dta
  • sect01b_com_w4.dta
  • sect02_com_w4.dta
  • sect03_com_w4.dta
  • sect04_com_w4.dta
  • sect05_com_w4.dta
  • sect06_com_w4.dta
  • sect07_com_w4.dta
  • sect08_com_w4.dta
  • sect09_com_w4.dta
  • cons_agg_w4.dta
  • sect7b_hh_w4_v2.dta
  • sect13_hh_w4_v2.dta
  • sect10b_com_w4.dta
  • ETH_HouseholdGeovariables_Y4.dta
  • ETH_PlotGeovariables_Y4.dta
  • Crop_CF_Wave4.dta
  • ET_local_area_unit_conversion.dta
  • Food_CF_Wave4.dta
  • sect10a_com_w4.dta

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

Data file: sect4_pp_w4.dta

Overview

Valid: 4700
Invalid: 12213
Minimum: 1
Maximum: 16
Type: Discrete
Decimal: 0
Start: 210
End: 211
Width: 2
Range: 1 - 16
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 1. Too Much Rain 486
10.3%
2 2. Too Little Rain 1305
27.8%
3 3. Insects 861
18.3%
4 4. Crop Disease 834
17.7%
5 5. Weeds 154
3.3%
6 6. Hail 308
6.6%
7 7. Frost 139
3%
8 8. Floods 103
2.2%
9 9. Wild Animals 140
3%
10 10. Locust 13
0.3%
11 11. Birds 17
0.4%
12 12. Shortage of Seeds 10
0.2%
13 13. Depletion of Soil 85
1.8%
14 14. Security Problems 17
0.4%
15 15. Bad Seeds 29
0.6%
16 16. Other Specify 199
4.2%
Sysmiss 12213
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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