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
20a2.Amount of harvested [CROP] used for other purposes: Unit (s11q20a2)
Data file: sect11_ph_w4.dta
Overview
Valid:
1574
Invalid:
7733
Minimum:
1
Maximum:
900
Type:
Discrete
Decimal:
0
Start:
361
End:
363
Width:
3
Range:
1 - 900
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 1. Kilogram | 638 |
40.5%
|
| 2 | 2. Gram | 4 |
0.3%
|
| 3 | 3. Quintal | 234 |
14.9%
|
| 6 | 6. Box/Casa | 1 |
0.1%
|
| 7 | 7. Jenbe | 7 |
0.4%
|
| 8 | 8. Jog | 14 |
0.9%
|
| 21 | 21. Akumada/Dawla/Lekota Small | 15 |
1%
|
| 22 | 22. Akumada/Dawla/Lekota Large | 1 |
0.1%
|
| 41 | 41. Bunch Small | 1 |
0.1%
|
| 42 | 42. Bunch Medium | 6 |
0.4%
|
| 43 | 43. Bunch Large | 2 |
0.1%
|
| 51 | 51. Chinet Small | 1 |
0.1%
|
| 52 | 52. Chinet Medium | 1 |
0.1%
|
| 53 | 53. Chinet Large | 1 |
0.1%
|
| 61 | 61. Esir Small | 20 |
1.3%
|
| 62 | 62. Esir Medium | 20 |
1.3%
|
| 63 | 63. Esir Large | 12 |
0.8%
|
| 81 | 81. Joniya/Kasha Small | 6 |
0.4%
|
| 82 | 82. Joniya/Kasha Medium | 20 |
1.3%
|
| 83 | 83. Joniya/Kasha Large | 2 |
0.1%
|
| 91 | 91. Kerchat/Kemba Small | 2 |
0.1%
|
| 92 | 92. Kerchat/Kemba Medium | 3 |
0.2%
|
| 93 | 93. Kerchat/Kemba Large | 2 |
0.1%
|
| 111 | 111. Kunna/Mishe/Kefer/Enkib Small | 19 |
1.2%
|
| 112 | 112. Kunna/Mishe/Kefer/Enkib Medium | 24 |
1.5%
|
| 113 | 113. Kunna/Mishe/Kefer/Enkib Large | 3 |
0.2%
|
| 121 | 121. Madaberia/Nuse/Shera/Cheret Small | 47 |
3%
|
| 122 | 122. Madaberia/Nuse/Shera/Cheret Medium | 116 |
7.4%
|
| 123 | 123. Madaberia/Nuse/Shera/Cheret Large | 82 |
5.2%
|
| 131 | 131. Medeb Small | 2 |
0.1%
|
| 132 | 132. Medeb Medium | 6 |
0.4%
|
| 133 | 133. Medeb Large | 8 |
0.5%
|
| 151 | 151. Sahin Small | 2 |
0.1%
|
| 152 | 152. Sahin Medium | 9 |
0.6%
|
| 153 | 153. Sahin Large | 10 |
0.6%
|
| 161 | 161. Shekim Small | 4 |
0.3%
|
| 162 | 162. Shekim Medium | 6 |
0.4%
|
| 163 | 163. Shekim Large | 2 |
0.1%
|
| 181 | 181. Tasa/Tanika/Shember/Selemon Small | 32 |
2%
|
| 182 | 182. Tasa/Tanika/Shember/Selemon Medium | 114 |
7.2%
|
| 183 | 183. Tasa/Tanika/Shember/Selemon Large | 28 |
1.8%
|
| 191 | 191. Zorba/Akara Small | 3 |
0.2%
|
| 192 | 192. Zorba/Akara Medium | 5 |
0.3%
|
| 193 | 193. Zorba/Akara Large | 7 |
0.4%
|
| 900 | 900. Other (Specify) | 32 |
2%
|
| Sysmiss | 7733 |
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.