Socioeconomic Survey 2018-2019
Ethiopia, 2018 - 2019
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
63107
Downloads
1485
- 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
21. What was the industry of occupation of [NAME]'s biological father? (s1q21)
Data file: sect1_hh_w4.dta
Overview
Valid:
28634
Invalid:
869
Minimum:
1
Maximum:
99
Type:
Discrete
Decimal:
0
Start:
133
End:
134
Width:
2
Range:
1 - 99
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 1. AGRICULTURE | 21009 |
73.4%
|
| 2 | 2. MINING | 66 |
0.2%
|
| 3 | 3. MANUFACTURING | 290 |
1%
|
| 4 | 4. PROFESSIONAL/SCIENTIFIC/TECHNICAL ACTIVITIES | 857 |
3%
|
| 5 | 5. ELECTRICITY | 85 |
0.3%
|
| 6 | 6. CONSTRUCTION | 724 |
2.5%
|
| 7 | 7. TRANSPORTATION | 556 |
1.9%
|
| 8 | 8. BUYING AND SELLING | 1393 |
4.9%
|
| 9 | 9. FINANCIAL SERVICES | 185 |
0.6%
|
| 10 | 10. PERSONAL SERVICES | 525 |
1.8%
|
| 11 | 11. EDUCATION | 501 |
1.7%
|
| 12 | 12. HEALTH | 148 |
0.5%
|
| 13 | 13. PUBLIC ADMINISTRATION | 909 |
3.2%
|
| 14 | 14. OTHER SERVICES (SPECIFY) | 160 |
0.6%
|
| 15 | 15. HOUSE WIFE | 0 |
0%
|
| 16 | 16. UNEMPLOYED | 723 |
2.5%
|
| 17 | 17. HOTEL AND RESTUARANT | 81 |
0.3%
|
| 18 | 18. INFORMATION COMMUNICATION | 39 |
0.1%
|
| 19 | 19. HOTEL AND RESTUARANT | 30 |
0.1%
|
| 20 | 20. ARTIST OR ENTERTAINER | 26 |
0.1%
|
| 99 | 99. DON'T KNOW | 327 |
1.1%
|
| Sysmiss | 869 |
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.