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
20.How much did the holder spend on transportation for [LIVESTOCK]? (ls_s8_2q20)
Data file: sect8_2_ls_w4.dta
Overview
Valid:
368
Invalid:
42416
Minimum:
1
Maximum:
10000
Type:
Discrete
Decimal:
0
Start:
143
End:
147
Width:
5
Range:
1 - 10000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 8 |
2.2%
|
|
| 2 | 2 |
0.5%
|
|
| 3 | 1 |
0.3%
|
|
| 4 | 2 |
0.5%
|
|
| 5 | 3 |
0.8%
|
|
| 6 | 7 |
1.9%
|
|
| 10 | 40 |
10.9%
|
|
| 12 | 2 |
0.5%
|
|
| 15 | 10 |
2.7%
|
|
| 20 | 83 |
22.6%
|
|
| 25 | 5 |
1.4%
|
|
| 30 | 24 |
6.5%
|
|
| 40 | 33 |
9%
|
|
| 50 | 40 |
10.9%
|
|
| 60 | 15 |
4.1%
|
|
| 65 | 1 |
0.3%
|
|
| 70 | 2 |
0.5%
|
|
| 75 | 1 |
0.3%
|
|
| 80 | 7 |
1.9%
|
|
| 90 | 3 |
0.8%
|
|
| 100 | 24 |
6.5%
|
|
| 120 | 5 |
1.4%
|
|
| 125 | 2 |
0.5%
|
|
| 140 | 2 |
0.5%
|
|
| 150 | 8 |
2.2%
|
|
| 180 | 3 |
0.8%
|
|
| 200 | 11 |
3%
|
|
| 240 | 1 |
0.3%
|
|
| 250 | 2 |
0.5%
|
|
| 300 | 8 |
2.2%
|
|
| 400 | 2 |
0.5%
|
|
| 500 | 5 |
1.4%
|
|
| 1000 | 1 |
0.3%
|
|
| 1200 | 2 |
0.5%
|
|
| 1700 | 1 |
0.3%
|
|
| 2500 | 1 |
0.3%
|
|
| 10000 | 1 |
0.3%
|
|
| Sysmiss | 42416 |
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.