Ethiopian Socio-economic Survey - Wave 3, 2015-2016
Ethiopia, 2015 - 2016
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Reference ID
ETH_2015-2016_ESS-W3_v01_EN_M_v01_A_OCS
Producer(s)
Central Statistical Agency of Ethiopia
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Metadata
Created on
Aug 21, 2020
Last modified
Nov 08, 2022
Page views
63431
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- Data files
- Food_CF_Wave3
- sect_cover_hh_w3
- sect1_hh_w3
- sect2_hh_w3
- sect3_hh_w3
- sect4_hh_w3
- sect4b_hh_w3
- sect5a_hh_w3
- sect5b_hh_w3
- sect5c1_hh_w3
- sect5c2_hh_w3
- sect5d_hh_w3
- sect6a_hh_w3
- sect6b_hh_w3
- sect7_hh_w3
- sect8_hh_w3
- sect9_hh_w3
- sect10_hh_w3
- sect11a_hh_w3
- sect11b_hh_w3
- sect11c_hh_w3
- sect12_hh_w3
- sect13_hh_w3
- sect14a_hh_w3
- sect14b_hh_w3
- sect14c_hh_w3
- sect_cover_ls_w3
- sect1_ls_w3
- sect8_1_ls_w3
- sect8_2_ls_w3
- sect8_3_ls_w3
- sect8_4_ls_w3
- sect8_5_ls_w3
- sect8_6_ls_w3
- sect8_7a_ls_w3
- sect8_7b_ls_w3
- sect_cover_pp_w3
- sect02_com_w3
- sect10a1_com_w3
- sect09_com_w3
- sect07_com_w3
- sect08_com_w3
- sect06_com_w3
- sect05_com_w3
- sect03_com_w3
- sect04_com_w3
- sect01b_com_w3
- sectnr_ph_w3
- sect12_ph_w3
- sect11_ph_w3
- sect10_ph_w3
- sect9_ph_w3
- sect9a_ph_w3
- sect1_ph_w3
- sect_cover_ph_w3
- sect_3rca_pp_w3
- sect_cover_cc_w3
- sect_3rcb_pp_w3
- sectnr_pp_w3
- sect7_pp_w3
- sect5_pp_w3
- sect4_pp_w3
- sect3_pp_w3
- sect2_pp_w3
- sect1_pp_w3
- sect10a2_com_w3
- ET_local_area_unit_conversion
- cons_agg_w3
- sect01a_com_w3
- Crop_CF_Wave3
- ETH_HouseholdGeovars_y3
- ETH_PlotGeovariables_Y3
- water_quality_data
How much of the harvested [Crop] was saved for seed? (Unit) (ph_s11q14_2)
Data file: sect11_ph_w3
Overview
Valid:
5138
Invalid:
3029
Minimum:
1
Maximum:
900
Type:
Discrete
Decimal:
0
Start:
183
End:
185
Width:
3
Range:
1 - 900
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Kilogram | 2224 |
43.3%
|
| 2 | Gram | 22 |
0.4%
|
| 3 | Quintal | 279 |
5.4%
|
| 4 | Liter | 0 |
0%
|
| 5 | Mili Liter | 0 |
0%
|
| 6 | Box/Casa | 0 |
0%
|
| 7 | Jenbe | 0 |
0%
|
| 8 | Jog | 53 |
1%
|
| 9 | Melekia | 0 |
0%
|
| 21 | Akumada/Dawla/Lekota Small | 9 |
0.2%
|
| 22 | Akumada/Dawla/Lekota Large | 17 |
0.3%
|
| 31 | Birchiko Small | 2 |
0%
|
| 32 | Birchiko Meduim | 0 |
0%
|
| 33 | Birchiko Large | 2 |
0%
|
| 41 | Bunch Small | 0 |
0%
|
| 42 | Bunch Medium | 1 |
0%
|
| 43 | Bunch Large | 0 |
0%
|
| 51 | Chinet Small | 0 |
0%
|
| 52 | Chinet Medium | 8 |
0.2%
|
| 53 | Chinet Large | 15 |
0.3%
|
| 61 | Esir Small | 1 |
0%
|
| 62 | Esir Medium | 0 |
0%
|
| 63 | Esir Large | 0 |
0%
|
| 71 | Festal Small | 0 |
0%
|
| 72 | Festal Meduim | 0 |
0%
|
| 73 | Festal Large | 0 |
0%
|
| 81 | Joniya/Kasha Small | 18 |
0.4%
|
| 82 | Joniya/Kasha Medium | 59 |
1.1%
|
| 83 | Joniya/Kasha Large | 8 |
0.2%
|
| 91 | Kerchat/Kemba Small | 0 |
0%
|
| 92 | Kerchat/Kemba Medium | 0 |
0%
|
| 93 | Kerchat/Kemba Large | 1 |
0%
|
| 101 | Kubaya Small | 36 |
0.7%
|
| 102 | Kubaya Meduim | 19 |
0.4%
|
| 103 | Kubaya Large | 13 |
0.3%
|
| 111 | Kunna/Mishe/Kefer/Enkib Small | 118 |
2.3%
|
| 112 | Kunna/Mishe/Kefer/Enkib Medium | 209 |
4.1%
|
| 113 | Kunna/Mishe/Kefer/Enkib Large | 103 |
2%
|
| 121 | Madaberia/Nuse/Shera/Cheret Small | 223 |
4.3%
|
| 122 | Madaberia/Nuse/Shera/Cheret Medium | 520 |
10.1%
|
| 123 | Madaberia/Nuse/Shera/Cheret Large | 180 |
3.5%
|
| 131 | Medeb Small | 1 |
0%
|
| 132 | Medeb Medium | 0 |
0%
|
| 133 | Medeb Large | 0 |
0%
|
| 141 | Piece/number small | 1 |
0%
|
| 142 | Piece/number Meduim | 4 |
0.1%
|
| 143 | Piece/number Large | 0 |
0%
|
| 151 | Sahin Small | 30 |
0.6%
|
| 152 | Sahin Medium | 15 |
0.3%
|
| 153 | Sahin Large | 25 |
0.5%
|
| 161 | Shekim Small | 0 |
0%
|
| 162 | Shekim Medium | 1 |
0%
|
| 163 | Shekim Large | 0 |
0%
|
| 171 | Sini Small | 2 |
0%
|
| 172 | Sini Large | 0 |
0%
|
| 181 | Tasa/Tanika/Shember/Selemon Small | 85 |
1.7%
|
| 182 | Tasa/Tanika/Shember/Selemon Medium | 375 |
7.3%
|
| 183 | Tasa/Tanika/Shember/Selemon Large | 358 |
7%
|
| 191 | Zorba/Akara � Small | 0 |
0%
|
| 192 | Zorba/Akara � Medium | 0 |
0%
|
| 193 | Zorba/Akara � Large | 0 |
0%
|
| 900 | Other (Specify) | 101 |
2%
|
| Sysmiss | 3029 |
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.