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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NGA_2018-2019_GHS-W4_V01_EN_M_V01_A_OCS / variable [F14]
agricultural-surveys

General Household Survey, Panel 2018-2019

Nigeria, 2018 - 2019
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Reference ID
NGA_2018-2019_GHS-W4_v01_EN_M_v01_A_OCS
Producer(s)
National Bureau of Statistics
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 10, 2020
Last modified
Nov 08, 2022
Page views
185314
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • secta_plantingw4
  • sect1_plantingw4
  • sect3_plantingw4
  • sect3b_plantingw4
  • sect3q38_plantingw4
  • sect4a1_plantingw4
  • sect4a2_plantingw4
  • sect4b_plantingw4
  • sect4c1_plantingw4
  • sect4c2_plantingw4
  • sect4c3_plantingw4
  • sect5_plantingw4
  • sect7a_plantingw4
  • sect7b_plantingw4
  • sect8a_plantingw4
  • sect8b_plantingw4
  • sect8c_plantingw4
  • sect9_plantingw4
  • sect11_plantingw4
  • aux_plantingw4
  • sect11a_plantingw4
  • sect11b1_plantingw4
  • sect11b1q10_plantingw4
  • sect11c1a_plantingw4
  • sect11c1b_plantingw4
  • sect11e1_plantingw4
  • sect11e2_plantingw4
  • sect11f_plantingw4
  • sect11i_plantingw4
  • sect11j_plantingw4
  • sect11k1_plantingw4
  • sect11k2_plantingw4
  • sect11k3_plantingw4
  • sect11l1_plantingw4
  • sect11l2_plantingw4
  • sectc_plantingw4
  • sectc1_plantingw4
  • sectc2_plantingw4
  • sectc3a_plantingw4
  • sectc3b_plantingw4
  • sectc4a_plantingw4
  • sectc4b_plantingw4
  • sectc4c_plantingw4
  • secta_harvestw4
  • sect2_harvestw4
  • sect3a_harvestw4
  • sect3b_harvestw4
  • sect4a_harvestw4
  • sect6_harvestw4
  • sect9a_harvestw4
  • sect9b_harvestw4
  • sect9c_harvestw4
  • sect9d_harvestw4
  • sect10a_harvestw4
  • sect10b_harvestw4
  • sect10c_harvestw4
  • sect11a_harvestw4
  • sect11b_harvestw4
  • sect11c_harvestw4
  • sect11d_harvestw4
  • sect12_harvestw4
  • sect13_harvestw4
  • sect14a_harvestw4
  • sect14b_harvestw4
  • sect15a_harvestw4
  • aux_harvestw4
  • sectaa_harvestw4
  • secta2a_harvestw4
  • secta2b_harvestw4
  • secta3i_harvestw4
  • secta3ii_harvestw4
  • secta3iii_harvestw4
  • secta4_harvestw4
  • secta5b_harvestw4
  • secta9a_harvestw4
  • secta11c2_harvestw4
  • secta11c3_harvestw4
  • secta11c3q12_harvestw4
  • sectaphl1_harvestw4
  • sectaphl2_harvestw4
  • sectc_harvestw4
  • sectc1_harvestw4
  • sectc2_harvestw4
  • sectc3_harvestw4
  • sectc4_harvestw4
  • sectc5_harvestw4
  • sectc6_harvestw4
  • sectc7_harvestw4
  • sectc8_harvestw4
  • sectc9a_harvestw4
  • sectc9b_harvestw4
  • sect11a1_plantingw4
  • sect1_harvestw4
  • secta1_harvestw4

Roster instance identifier (item_cd)

Data file: sect7b_plantingw4

Overview

Valid: 555060
Invalid: 0
Type: Discrete
Decimal: 2
Start: 19
End: 25
Width: 7
Range: 10 - 1641
Format: Numeric

Questions and instructions

Categories
Value Category Cases
10 10. Guinea corn/sorghum 5046
0.9%
11 11. Millet 5046
0.9%
13 13. Rice - local 5046
0.9%
14 14. Rice - imported 5046
0.9%
16 16. Maize flour 5046
0.9%
17 17. Yam flour 5046
0.9%
18 18. Cassava flour 5046
0.9%
19 19. Wheat flour 5046
0.9%
20 20. Maize (Unshelled/On the cob) 5046
0.9%
22 22. Maize (Shelled/Off the cob) 5046
0.9%
23 23. Other grains and flour 5046
0.9%
25 25. Bread 5046
0.9%
26 26. Cake 5046
0.9%
27 27. Buns/Pofpof/Donuts 5046
0.9%
28 28. Biscuits 5046
0.9%
29 29. Meat Pie/Sausage Roll 5046
0.9%
30 30. Cassava - roots 5046
0.9%
31 31. Yam - roots 5046
0.9%
32 32. Gari - white 5046
0.9%
33 33. Gari - yellow 5046
0.9%
34 34. Cocoyam 5046
0.9%
35 35. Plantains 5046
0.9%
36 36. Sweet potatoes 5046
0.9%
37 37. Potatoes 5046
0.9%
38 38. Other roots and tuber 5046
0.9%
40 40. Soya beans 5046
0.9%
41 41. Brown beans 5046
0.9%
42 42. White beans 5046
0.9%
43 43. Groundnuts (Unshelled) 5046
0.9%
44 44. Groundnuts (Shelled) 5046
0.9%
45 45. Other nuts/seeds/pulses 5046
0.9%
46 46. Coconut 5046
0.9%
47 47. Kola nut 5046
0.9%
48 48. Cashew nut 5046
0.9%
50 50. Palm oil 5046
0.9%
51 51. Butter/ Margarine 5046
0.9%
52 52. Groundnuts Oil 5046
0.9%
53 53. Other oil and Fat 5046
0.9%
56 56. Animal fat 5046
0.9%
60 60. Bananas 5046
0.9%
61 61. Orange/tangerine 5046
0.9%
62 62. Mangoes 5046
0.9%
63 63. Avocado pear 5046
0.9%
64 64. Pineapples 5046
0.9%
66 66. Other fruits 5046
0.9%
67 67. Pawpaw 5046
0.9%
68 68. Watermelon 5046
0.9%
69 69. Apples 5046
0.9%
70 70. Tomatoes 5046
0.9%
71 71. Tomato puree (canned) 5046
0.9%
72 72. Onions 5046
0.9%
73 73. Garden eggs/egg plant 5046
0.9%
74 74. Okra - fresh 5046
0.9%
75 75. Okra - dried 5046
0.9%
76 76. Fresh Pepper 5046
0.9%
77 77. Dry Pepper 5046
0.9%
78 78. Leaves (Cocoyam, Spinach, etc 5046
0.9%
79 79. Other vegetables (fresh or canned) 5046
0.9%
80 80. Chicken 5046
0.9%
81 81. Duck 5046
0.9%
82 82. Other domestic poultry 5046
0.9%
83 83. Agricultural eggs 5046
0.9%
84 84. Local eggs 5046
0.9%
85 85. Other eggs (not chicken) 5046
0.9%
90 90. Beef 5046
0.9%
91 91. Mutton 5046
0.9%
92 92. Pork 5046
0.9%
93 93. Goat 5046
0.9%
94 94. Wild game/bush meat 5046
0.9%
95 95. Canned beef/corned beef 0
0%
96 96. Other meat (excl 5046
0.9%
100 100. Fish - fresh 5046
0.9%
101 101. Fish - frozen 5046
0.9%
102 102. Fish - smoked 5046
0.9%
103 103. Fish - dried 5046
0.9%
104 104. Snails 5046
0.9%
105 105. Seafood (lobster, crab, prawns, etc) 5046
0.9%
106 106. Canned fish/seafood 5046
0.9%
107 107. Other fish or seafood 5046
0.9%
110 110. Fresh milk 5046
0.9%
111 111. Milk powder 5046
0.9%
112 112. Baby milk powder 5046
0.9%
113 113. Milk tinned (unsweetened) 5046
0.9%
114 114. Cheese (wara) 5046
0.9%
115 115. Other milk products 5046
0.9%
120 120. Coffee 5046
0.9%
121 121. Chocolate drinks (including Milo) 5046
0.9%
122 122. Tea 5046
0.9%
130 130. Sugar 5046
0.9%
132 132. Honey 5046
0.9%
133 133. Other sweets and confectionary 5046
0.9%
141 141. Salt 5046
0.9%
142 142. Unground Ogbono 5046
0.9%
143 143. Ground Ogbono 5046
0.9%
144 144. Ground Pepper 5046
0.9%
145 145. Melon (shelled) 5046
0.9%
146 146. Melon (unshelled) 5046
0.9%
147 147. Melon (ground) 5046
0.9%
148 148. Other Spices 5046
0.9%
150 150. Bottled water 5046
0.9%
151 151. Sachet water 5046
0.9%
152 152. Malt drinks 5046
0.9%
153 153. Soft drinks (Coca Cola, spirit, etc) 5046
0.9%
154 154. Fruit juice canned/Pack 5046
0.9%
155 155. Other non-alcoholic drinks 5046
0.9%
160 160. Beer (local and imported) 5046
0.9%
161 161. Palm wine 5046
0.9%
162 162. Pito 5046
0.9%
163 163. Gin 5046
0.9%
164 164. Other alcoholic beverages 5046
0.9%
231 231. Semovita/semolina 0
0%
232 232. Akanu/Pap/Obi 0
0%
233 233. Fufu 0
0%
234 234. Plantain flour 0
0%
235 235. Macoroni/pasta/noodles 0
0%
236 236. Custard 0
0%
237 237. Acha/fonio 0
0%
381 381. Yam - second variety 0
0%
382 382. Muruchi 0
0%
451 451. Pigeon peas 0
0%
452 452. Beniseed/Sesame 0
0%
453 453. Bambara nut 0
0%
454 454. Palm nut 0
0%
455 455. Palm kernal 0
0%
456 456. Locust beans 0
0%
457 457. Walnut 0
0%
531 531. Ulga 0
0%
532 532. Vegetable oil 0
0%
533 533. Shea butter oil 0
0%
601 601. Guava 5046
0.9%
661 661. Agbalumo/Udara/Star apple 0
0%
662 662. Cashew fruit 0
0%
663 663. Cherry 0
0%
664 664. Pear 0
0%
665 665. Date 0
0%
791 791. Cucumber 0
0%
792 792. Leaves (second variety) 0
0%
793 793. Kuka/Baobab 0
0%
794 794. Carrot 0
0%
795 795. Dried tomatoes 0
0%
796 796. Cabbage 0
0%
821 821. Guinea fowl 0
0%
822 822. Turkey 0
0%
851 851. Guinea fowl eggs 0
0%
852 852. Turkey eggs 0
0%
961 961. Ponmo/cow skin 0
0%
962 962. Donkey 0
0%
963 963. Dog meat 0
0%
1071 1071. Crayfish 0
0%
1072 1072. Periwinkle 0
0%
1151 1151. Sour milk/nono 0
0%
1152 1152. Yoghurt 0
0%
1153 1153. Soya milk 0
0%
1331 1331. Sugar cane 0
0%
1551 1551. Zobo 0
0%
1552 1552. Kunu 0
0%
1641 1641. Burkutu 0
0%
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.
Back to Catalog
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