Socioeconomic Survey 2018-2019
Ethiopia, 2018 - 2019
Get MicrodataCreated on
Jan 16, 2021
Last modified
Sep 05, 2025
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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
- 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
- sect7b_hh_w4.dta
15a. How much was received from renting out these fields on [PARCEL]? (CASH) (s2q15a)
Data file: sect2_pp_w4.dta
Overview
Valid:
103
Invalid:
8071
Minimum:
0
Maximum:
13000
Type:
Discrete
Decimal:
0
Start:
416
End:
420
Width:
5
Range:
0 - 13000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 30 |
29.1%
|
|
| 50 | 1 |
1%
|
|
| 100 | 2 |
1.9%
|
|
| 150 | 1 |
1%
|
|
| 170 | 1 |
1%
|
|
| 200 | 6 |
5.8%
|
|
| 250 | 1 |
1%
|
|
| 300 | 2 |
1.9%
|
|
| 400 | 2 |
1.9%
|
|
| 500 | 3 |
2.9%
|
|
| 600 | 4 |
3.9%
|
|
| 700 | 2 |
1.9%
|
|
| 800 | 1 |
1%
|
|
| 900 | 1 |
1%
|
|
| 1000 | 2 |
1.9%
|
|
| 1200 | 2 |
1.9%
|
|
| 1300 | 2 |
1.9%
|
|
| 1500 | 6 |
5.8%
|
|
| 1600 | 1 |
1%
|
|
| 1800 | 3 |
2.9%
|
|
| 2000 | 8 |
7.8%
|
|
| 2400 | 1 |
1%
|
|
| 2500 | 2 |
1.9%
|
|
| 3000 | 6 |
5.8%
|
|
| 4000 | 2 |
1.9%
|
|
| 4500 | 1 |
1%
|
|
| 5000 | 3 |
2.9%
|
|
| 6000 | 2 |
1.9%
|
|
| 7900 | 1 |
1%
|
|
| 9000 | 1 |
1%
|
|
| 10000 | 2 |
1.9%
|
|
| 13000 | 1 |
1%
|
|
| Sysmiss | 8071 |
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.