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
33d.What is the crop code for the second harvest? (Crop #2 Code) (s3q33d)
Data file: sect3_pp_w4.dta
Overview
Valid:
142
Invalid:
19197
Minimum:
1
Maximum:
74
Type:
Discrete
Decimal:
0
Start:
746
End:
748
Width:
3
Range:
1 - 74
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 1. BARLEY | 4 |
2.8%
|
| 2 | 2. MAIZE | 16 |
11.3%
|
| 3 | 3. MILLET | 0 |
0%
|
| 4 | 4. OATS | 8 |
5.6%
|
| 5 | 5. RICE | 0 |
0%
|
| 6 | 6. SORGHUM | 0 |
0%
|
| 7 | 7. TEFF | 3 |
2.1%
|
| 8 | 8. WHEAT | 0 |
0%
|
| 9 | 9. Mung Bean/ MASHO | 0 |
0%
|
| 10 | 10. CASSAVA | 0 |
0%
|
| 11 | 11. CHICK PEAS | 20 |
14.1%
|
| 12 | 12. HARICOT BEANS | 2 |
1.4%
|
| 13 | 13. HORSE BEANS | 2 |
1.4%
|
| 14 | 14. LENTILS | 4 |
2.8%
|
| 15 | 15. FIELD PEAS | 1 |
0.7%
|
| 16 | 16. VETCH | 28 |
19.7%
|
| 17 | 17. GIBTO | 0 |
0%
|
| 18 | 18. SOYA BEANS | 2 |
1.4%
|
| 19 | 19. RED KIDENY BEANS | 7 |
4.9%
|
| 20 | 20. FENNEL | 0 |
0%
|
| 21 | 21. CASTOR BEANS | 0 |
0%
|
| 22 | 22. COTTON SEED | 0 |
0%
|
| 23 | 23. LINESEED | 0 |
0%
|
| 24 | 24. GROUND NUTS | 0 |
0%
|
| 25 | 25. NUEG | 0 |
0%
|
| 26 | 26. RAPE SEED | 1 |
0.7%
|
| 27 | 27. SESAME | 0 |
0%
|
| 28 | 28. SUNFLOWER | 6 |
4.2%
|
| 29 | 29. MEGO | 0 |
0%
|
| 30 | 30. SAVORY | 0 |
0%
|
| 31 | 31. BLACK CUMIN | 0 |
0%
|
| 32 | 32. BLACK PEPPER | 0 |
0%
|
| 33 | 33. CARDAMON | 0 |
0%
|
| 34 | 34. CHILIES | 1 |
0.7%
|
| 35 | 35. CINNAMON | 0 |
0%
|
| 36 | 36. FENUGREEK | 2 |
1.4%
|
| 37 | 37. GINGER | 0 |
0%
|
| 38 | 38. RED PEPPER | 2 |
1.4%
|
| 39 | 39. TUMERIC | 0 |
0%
|
| 40 | 40. WHITE LUMIN | 0 |
0%
|
| 41 | 41. APPLES | 0 |
0%
|
| 42 | 42. BANANAS | 0 |
0%
|
| 43 | 43. GRAPES | 0 |
0%
|
| 44 | 44. LEMONS | 0 |
0%
|
| 45 | 45. MANDARINS | 0 |
0%
|
| 46 | 46. MANGOS | 1 |
0.7%
|
| 47 | 47. ORANGES | 0 |
0%
|
| 48 | 48. PAPAYA | 0 |
0%
|
| 49 | 49. PINAPPLES | 0 |
0%
|
| 50 | 50. CITRON | 0 |
0%
|
| 51 | 51. BEER ROOT | 0 |
0%
|
| 52 | 52. CABBAGE | 0 |
0%
|
| 53 | 53. CARROT | 1 |
0.7%
|
| 54 | 54. CAULIFLOWER | 0 |
0%
|
| 55 | 55. GARLIC | 1 |
0.7%
|
| 56 | 56. KALE | 6 |
4.2%
|
| 57 | 57. LETTUCE | 1 |
0.7%
|
| 58 | 58. ONION | 14 |
9.9%
|
| 59 | 59. GREEN PEPPER | 0 |
0%
|
| 60 | 60. POTATOES | 4 |
2.8%
|
| 61 | 61. PUMPKINS | 0 |
0%
|
| 62 | 62. SWEET POTATO | 0 |
0%
|
| 63 | 63. TOMATOES | 1 |
0.7%
|
| 64 | 64. GODERE | 0 |
0%
|
| 65 | 65. GUAVA | 0 |
0%
|
| 66 | 66. PEACH | 0 |
0%
|
| 67 | 67. MUSTARD | 0 |
0%
|
| 68 | 68. FETO | 0 |
0%
|
| 69 | 69. SPINACH | 0 |
0%
|
| 70 | 70. GREEN BEANS | 0 |
0%
|
| 71 | 71. CHAT | 2 |
1.4%
|
| 72 | 72. COFFEE | 1 |
0.7%
|
| 73 | 73. COTTON | 0 |
0%
|
| 74 | 74. ENSET | 1 |
0.7%
|
| 75 | 75. GESHO | 0 |
0%
|
| 76 | 76. SUGAR CANE | 0 |
0%
|
| 77 | 77. TEA | 0 |
0%
|
| 78 | 78. TOBACCO | 0 |
0%
|
| 79 | 79. CORIANDER | 0 |
0%
|
| 80 | 80. SACRED BASIL | 0 |
0%
|
| 81 | 81. RUE | 0 |
0%
|
| 82 | 82. GISHITA | 0 |
0%
|
| 83 | 83. WATERMELON | 0 |
0%
|
| 84 | 84. AVOCADOS | 0 |
0%
|
| 85 | 85. GRAZING LAND | 0 |
0%
|
| 86 | 86. TEMPORARY GR | 0 |
0%
|
| 97 | 97. PIJAPIN | 0 |
0%
|
| 98 | 98. OTHER ROOT C | 0 |
0%
|
| 99 | 99. OTHER LAND | 0 |
0%
|
| 108 | 108. AMBOSHIKA | 0 |
0%
|
| 110 | 110. GIRAMTA | 0 |
0%
|
| 112 | 112. KAZMIR | 0 |
0%
|
| 113 | 113. STRAWBERRY | 0 |
0%
|
| 114 | 114. SHIFERAW | 0 |
0%
|
| 115 | 115. OTHER FRUITS | 0 |
0%
|
| 116 | 116. TIMIZ KIMEM | 0 |
0%
|
| 117 | 117. OTHER SPICES | 0 |
0%
|
| 118 | 118. OTHER PULSES | 0 |
0%
|
| 119 | 119. OTHER OIL SEED | 0 |
0%
|
| 120 | 120. OTHER CEREAL | 0 |
0%
|
| 121 | 121. OTHER CASE CROPS | 0 |
0%
|
| 123 | 123. OTHER VEGETABLE | 0 |
0%
|
| Sysmiss | 19197 |
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.