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ETH_2021_ESPS-W5_V01_M
Socio-Economic Panel Survey 2021-2022
Wave 5
Ethiopia
,
2021 - 2022
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Reference ID
ETH_2021_ESPS-W5_v01_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
28726
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272
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
Data file: sect8_hh_w5.dta
Household Data
- Food insecurity experience scale
Cases:
4959
Variables:
24
Variables
household_id
Unique Household Indentifier
ea_id
Unique Enumeration Area Indentifier
saq14
Rural/Urban
pw_w5
household sample 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
saq09
Household Size
s8q01
1. Last 12 months, were the HH worried about not having enough food to eat?
s8q02
2. Last 12 months, were the HH unable to eat healthy/nutritious/preferred foods?
s8q03
3. Last 12 months, were the HH ate only a few kinds of foods?
s8q04
4. Last 12 months, were the HH had to skip a meal?
s8q05
5. Last 12 months, were the HH ate less than you thought you should?
s8q06
6. Last 30 days, were the HH went without eating for a whole day?
s8q06a
6. How often did this happen?
s8q07
7. Last 12 months, were the HH ran out of food?
s8q07a
7. How often did this happen?
s8q08
8. Last 12 months, were the HH hungry but did not eat?
s8q08a
8. How often did this happen?
household_id
Unique Household Indentifier
shock_type
Shock Type
ea_id
Unique Enumeration Area Indentifier
saq14
Rural/Urban
pw_w5
household sample 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
1_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
4_os. Other specify: Record the other consequence of the shock
Total: 49
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