Socioeconomic Survey 2018-2019
Ethiopia, 2018 - 2019
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
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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
4. What did HH do in response to this [SHOCK]? (STRATEGY 3) (s9q04_3)
Data file: sect9_hh_w4.dta
Overview
Valid:
446
Invalid:
134954
Minimum:
1
Maximum:
20
Type:
Discrete
Decimal:
0
Start:
120
End:
121
Width:
2
Range:
1 - 20
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 1. RELIED ON OWN-SAVINGS | 22 |
4.9%
|
| 2 | 2. RECEIVED UNCONDITIONAL HELP FROM RELATIVES/FRIENDS | 13 |
2.9%
|
| 3 | 3. RECEIVED UNCONDITIONAL HELP FROM GOVERNMENT | 51 |
11.4%
|
| 4 | 4. RECEIVED UNCONDITIONAL HELP FROM NGO/RELIGIOUS INSTITUTION | 17 |
3.8%
|
| 5 | 5. CHANGED EATING PATTERNS | 42 |
9.4%
|
| 6 | 6. TOOK ON MORE EMPLOYMENT | 17 |
3.8%
|
| 7 | 7. ADULT MEMBER PREVIOUSLY NOT WORKING FOUND WORK | 11 |
2.5%
|
| 8 | 8. HOUSEHOLD MEMBERS MIGRATED | 18 |
4%
|
| 9 | 9. REDUCED EXPENDITURES ON HEALTH / EDUCATION | 15 |
3.4%
|
| 10 | 10. OBTAINED CREDIT | 35 |
7.8%
|
| 11 | 11. SOLD AGRICULTURAL ASSETS | 5 |
1.1%
|
| 12 | 12. SOLD DURABLE ASSESTS | 20 |
4.5%
|
| 13 | 13. SOLD LAND / BUILDINGS | 2 |
0.4%
|
| 14 | 14. SOLD CROP STOCK | 12 |
2.7%
|
| 15 | 15. SOLD LIVESTOCK | 94 |
21.1%
|
| 16 | 16. INTENSIFY FISHING | 0 |
0%
|
| 17 | 17. SENT CHILDREN TO LIVE ELSEWHERE | 1 |
0.2%
|
| 18 | 18. ENGAGED IN SPIRITUAL EFFORTS | 69 |
15.5%
|
| 19 | 19. DID NOT DO ANYTHING | 0 |
0%
|
| 20 | 20. OTHER (SPECIFY) | 2 |
0.4%
|
| Sysmiss | 134954 |
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.