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    Home / Central Data Catalog / LSMS / ETH_2021_ESPS-W5_V02_M / variable [F56]
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
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  • Study Description
  • Data Description
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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

14.What was the main cause of the damage on [CROP]? (s9q14)

Data file: sect9_ph_w5.dta

Overview

Valid: 4865
Invalid: 8907
Minimum: 1
Maximum: 16
Type: Discrete
Decimal: 0
Start: 323
End: 324
Width: 2
Range: 1 - 16
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 1. TOO MUCH RAIN 276
5.7%
2 2. TOO LITTLE RAIN 2018
41.5%
3 3. INSECTS 536
11%
4 4. CROP DISEASE 931
19.1%
5 5. WEEDS 118
2.4%
6 6. HAIL. 65
1.3%
7 7. FLOODS 26
0.5%
8 8. FROST 128
2.6%
9 9. WILD ANIMALS 210
4.3%
10 10. LOCUST 5
0.1%
11 11. BIRDS 39
0.8%
12 12. SHORTAGE OF SEEDS 11
0.2%
13 13. DEPLETION OF SOIL FERTILITY 295
6.1%
14 14. SECURITY PROBLEMS 13
0.3%
15 15. SPOILED SEEDS 38
0.8%
16 16. OTHER (SPECIFY) 156
3.2%
Sysmiss 8907
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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