Socio-Economic Panel Survey 2021-2022
Wave 5

Ethiopia, 2021 - 2022

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Reference ID

ETH_2021_ESPS-W5_v02_M

Producer(s)

Ethiopian Statistical Service (ESS)

Collection(s)

Living Standards Measurement Study (LSMS)

Metadata

Documentation in PDF DDI/XML JSON

Created on

Jan 25, 2024

Last modified

Sep 29, 2025

Page views

235798

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1b.CROP CODE (s4q01b)

Data file: sect9a_pp_w5.dta

Overview

Valid: 14239

Invalid: -

Minimum: 1

Maximum: 123

Type: Discrete

Decimal: 0

Start: 126

End: 128

Width: 3

Range: 1 - 123

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	1. 1.BARLEY	328	2.3%
2	2. 2.MAIZE	1943	13.6%
3	3. 3.MILLET	105	0.7%
4	4. 4.OATS	12	0.1%
5	5. 5.RICE	64	0.4%
6	6. 6.SORGHUM	918	6.4%
7	7. 7.TEFF	835	5.9%
8	8. 8.WHEAT	397	2.8%
9	9. 9.Mung Bean or MASHO	10	0.1%
10	10. 10.CASSAVA	83	0.6%
11	11. 11.CHICKPEAS	81	0.6%
12	12. 12.HARICOTBEANS	150	1.1%
13	13. 13.HORSE BEANS	305	2.1%
14	14. 14.LENTILS	28	0.2%
15	15. 15.FIELDPEAS	137	1%
16	16. 16.VETCH	84	0.6%
17	17. 17.GIBTO	1	0%
18	18. 18.SOYA BEANS	58	0.4%
19	19. 19.REDKIDENY BEANS	316	2.2%
20	20. 20.FENNEL	11	0.1%
21	21. 21.CASTOR BEANS	0	0%
22	22. 22.COTTON SEED	0	0%
23	23. 23.LINESEED	28	0.2%
24	24. 24.GROUND NUTS	112	0.8%
25	25. 25.NUEG or NIGERSEED	66	0.5%
26	26. 26.RAPESEED	30	0.2%
27	27. 27.SESAME	38	0.3%
28	28. 28.SUNFLOWER	3	0%
30	30. 30.SAVORY or ROSEMARY	0	0%
31	31. 31.BLACKCUMIN	11	0.1%
32	32. 32.BLACKPEPPER	13	0.1%
33	33. 33.CARDAMON	24	0.2%
34	34. 34.CHILIES	56	0.4%
35	35. 35.CINNAMON	0	0%
36	36. 36.FENUGREEK	30	0.2%
37	37. 37.GINGER	25	0.2%
38	38. 38.REDPEPPER	153	1.1%
39	39. 39.TUMERIC	13	0.1%
40	40. 40.WHITECUMIN	5	0%
41	41. 41.APPLES	14	0.1%
42	42. 42.BANANAS	787	5.5%
43	43. 43.GRAPES	0	0%
44	44. 44.LEMONS	60	0.4%
45	45. 45.MANDARINS	0	0%
46	46. 46.MANGOS	550	3.9%
47	47. 47.ORANGES	69	0.5%
48	48. 48.PAPAYA	187	1.3%
49	49. 49.PINAPPLES	2	0%
50	50. 50.CITRON	3	0%
51	51. 51.BEERROOT	33	0.2%
52	52. 52.CABBAGE	37	0.3%
53	53. 53.CARROT	30	0.2%
54	54. 54.CAULIFLOWER	8	0.1%
55	55. 55.GARLIC	135	0.9%
56	56. 56.KALE	523	3.7%
57	57. 57.LETTUCE	10	0.1%
58	58. 58.ONION	80	0.6%
59	59. 59.GREENPEPPER	121	0.8%
60	60. 60.POTATOES	118	0.8%
61	61. 61.PUMPKINS	191	1.3%
62	62. 62.SWEETPOTATO	184	1.3%
63	63. 63.TOMATOES	18	0.1%
64	64. 64.GODERE	416	2.9%
65	65. 65.GUAVA	78	0.5%
66	66. 66.PEACH	4	0%
67	67. 67.MUSTARD	0	0%
68	68. 68.FETO	0	0%
69	69. 69.SPINACH	10	0.1%
70	70. 70.GREEN BEANS	0	0%
71	71. 71.CHAT	904	6.3%
72	72. 72.COFFEE	1102	7.7%
73	73. 73.COTTON	4	0%
74	74. 74.ENSET	879	6.2%
75	75. 75.GESHO	238	1.7%
76	76. 76.SUGARCANE	175	1.2%
77	77. 77.TEA	0	0%
78	78. 78.TOBACCO	15	0.1%
79	79. 79.CORIANDER	19	0.1%
80	80. 80.SACREDBASIL	40	0.3%
81	81. 81.RUE	49	0.3%
82	82. 82.GISHITA	31	0.2%
83	83. 83.WATERMELON	1	0%
84	84. 84.AVOCADOS	406	2.9%
85	85. 85.GRAZINGLAND	0	0%
98	98. 98.OTHER ROOT CROP	68	0.5%
99	99. 99.OTHER LAND USE	4	0%
108	108. 108.AMBOSHIKA	0	0%
110	110. 110.GIRAMTA	0	0%
112	112. 112.KAZMIR	38	0.3%
113	113. 113.STRAWBERRY	1	0%
114	114. 114.SHIFERAW	39	0.3%
115	115. 115.OTHER FRUITS	17	0.1%
116	116. 116.TIMIZ KIMEM	1	0%
117	117. 117.OTHER SPICES	12	0.1%
118	118. 118.OTHER PULSES	2	0%
119	119. 119.OTHER OILS EED	2	0%
120	120. 120.OTHER CEREAL	3	0%
123	123. 123.OTHER VEGETABLE	48	0.3%

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.

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