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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / ETH_2018_SES_V01_EN_M_V01_A_OCS
agricultural-surveys

Socioeconomic Survey, 2018-2019

Ethiopia, 2018 - 2019
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Reference ID
ETH_2018_SES_v01_EN_M_v01_A_OCS
Producer(s)
Central Statistics Agency of Ethiopia
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 01, 2021
Last modified
Nov 08, 2022
Page views
134137
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224841
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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
  • sect10a_com_w4.dta
  • cons_agg_w4.dta
  • sect7b_hh_w4_v2.dta
  • sect13_hh_w4_v2.dta

Data file: sect9_hh_w4.dta

Shocks
- Shocks during the last 12 months and their impact on income, assets, food production, shock and purchase. Strategies the household used to cope with the three worst shocks faced.

Cases: 135400
Variables: 25

Variables

household_id
Unique Household Indentifier
shock_type
Shock Type
ea_id
Unique Enumeration Area Indentifier
saq14
Rural/Urban
pw_w4
Final adjusted wave 4 weight
saq01
Region code
saq02
Zone Code
saq03
Woreda Code
saq04
City Code
saq05
Sub city code
saq06
Kebele Code
saq07
EA code
saq08
Household ID
s9q01
1. In last 12 months, was HH affected by [SHOCK]
shock_type_os
Other specify
s9q02
2. Rank the 3 most significant shocks (MOST SEVERE)
s9q03a
3a. As a result of [SHOCK], how does your HH income change?
s9q03b
3b. As a result of [SHOCK], how does your HH assets change?
s9q03c
3c. As a result of [SHOCK], how does your HH food production change?
s9q03d
3d. As a result of [SHOCK], how does your HH food stocks change?
s9q03e
3e. As a result of [SHOCK], how does your HH food purchase change?
s9q04_1
4. What did HH do in response to this [SHOCK]? (STRATEGY 1)
s9q04_2
4. What did HH do in response to this [SHOCK]? (STRATEGY 2)
s9q04_3
4. What did HH do in response to this [SHOCK]? (STRATEGY 3)
s9q04_os
Other specify: Record the other consequence of the shock
Total: 25
Back to Catalog
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