General Household Survey, Panel 2015-2016, Wave 3

Nigeria, 2015 - 2016

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Reference ID

NGA_2015_GHSP-W3_v02_M

Producer(s)

National Bureau of Statistics (NBS)

Metadata

DDI/XML JSON

Created on

Jan 18, 2017

Last modified

Mar 29, 2019

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95185

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item code (item_cd)

Data file: sectc2b_plantingw3

Overview

Valid: 10172

Invalid: 0

Type: Discrete

Decimal: 0

Start: 13

End: 15

Width: 3

Range: 10 - 601

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
10	10. Guinea corn/sorghum	48	0.5%
11	11. Millet	42	0.4%
13	13. Rice - local	80	0.8%
14	14. Rice - imported	93	0.9%
16	16. Maize flour	33	0.3%
17	17. Yam flour	22	0.2%
18	18. Cassava flour	34	0.3%
19	19. Wheat flour	46	0.5%
20	20. Maize (Unshelled/On the cob)	49	0.5%
21	21. Maize (Shelled/On the cob)	56	0.6%
22	22. Maize (Shelled/Off the cob)	75	0.7%
23	23. Other grains and flour	8	0.1%
25	25. Bread	97	1%
26	26. Cake	73	0.7%
27	27. Buns/Pofpof/Donuts	82	0.8%
28	28. Biscuits	98	1%
29	29. Meat Pie/Sausage Roll	73	0.7%
30	30. Cassava - roots	59	0.6%
31	31. Yam - roots	89	0.9%
32	32. Gari - white	87	0.9%
33	33. Gari - yellow	84	0.8%
34	34. Cocoyam	61	0.6%
35	35. Plantains	77	0.8%
36	36. Sweet potatoes	74	0.7%
37	37. Potatoes	40	0.4%
38	38. Other roots and tuber	5	0%
40	40. Soya beans	50	0.5%
41	41. Brown beans	81	0.8%
42	42. White beans	94	0.9%
43	43. Groundnuts (Unshelled)	68	0.7%
44	44. Groundnuts (Shelled)	79	0.8%
45	45. Other nuts/seeds/pulses	9	0.1%
46	46. Coconut	67	0.7%
47	47. Kola nut	81	0.8%
48	48. Cashew nut	30	0.3%
50	50. Palm oil	93	0.9%
51	51. Butter/Margarine	62	0.6%
52	52. Groundnuts Oil	88	0.9%
53	53. Other oil and fat	19	0.2%
54	54. Sheabutter	22	0.2%
55	55. Coconut oil	18	0.2%
56	56. Animal fat	3	0%
60	60. Bananas	85	0.8%
61	61. Orange/tangerine	83	0.8%
62	62. Mangoes	2	0%
63	63. Avocado pear	40	0.4%
64	64. Pineapples	64	0.6%
65	65. Fruit canned	28	0.3%
66	66. Other fruits	12	0.1%
67	67. Pawpaw	78	0.8%
68	68. Watermelon	81	0.8%
69	69. Apples	72	0.7%
70	70. Tomatoes	464	4.6%
71	71. Tomato puree (canned)	415	4.1%
72	72. Onions	479	4.7%
73	73. Garden eggs/egg plant	409	4%
74	74. Okra - fresh	471	4.6%
75	75. Okra - dried	237	2.3%
76	76. Fresh Pepper	454	4.5%
77	77. Dry Pepper	418	4.1%
78	78. Leaves (Cocoyam, Spinash,etc.)	178	1.7%
79	79. Other vegetables (fresh or canned)	190	1.9%
80	80. Chicken	74	0.7%
81	81. Duck	12	0.1%
82	82. Other domestic poultry	15	0.1%
83	83. Agricultural eggs	93	0.9%
84	84. Local eggs	55	0.5%
85	85. Other eggs (not chicken)	5	0%
90	90. Beef	84	0.8%
91	91. Mutton	6	0.1%
92	92. Pork	13	0.1%
93	93. Goat	75	0.7%
94	94. Wild game/bush meat	14	0.1%
95	95. Canned beef/corned beef	20	0.2%
96	96. Other meat (excl. poultry)	1	0%
100	100. Fish-fresh	28	0.3%
101	101. Fish-frozen	82	0.8%
102	102. Fish-smoked	81	0.8%
103	103. Fish-dried	83	0.8%
104	104. Snails	31	0.3%
105	105. Seafood (lobster,crab,prawns,etc)	28	0.3%
106	106. Canned fish/seafood	25	0.2%
107	107. Other fish or seafood	14	0.1%
110	110. Fresh milk	16	0.2%
111	111. Milk powder	94	0.9%
112	112. Baby milk powder	74	0.7%
113	113. Milk tinned (unsweetened)	92	0.9%
114	114. Cheese (wara)	9	0.1%
115	115. Other milk products	18	0.2%
120	120. Coffee	61	0.6%
121	121. Chocolate drinks (including Milo)	95	0.9%
122	122. Tea	82	0.8%
130	130. Sugar	97	1%
131	131. Jams	7	0.1%
132	132. Honey	39	0.4%
133	133. Other sweets and confectionary	6	0.1%
140	140. Condiments (salt, spices, pepper, etc)	69	0.7%
141	141. Salt	97	1%
142	142. Unground Ogbono	69	0.7%
143	143. Ground Ogbono	5	0%
144	144. Ground Pepper	72	0.7%
145	145. Melon (shelled)	73	0.7%
146	146. Melon (unshelled)	62	0.6%
147	147. Mellon (ground)	15	0.1%
150	150. Bottled water	90	0.9%
151	151. Sachet water	94	0.9%
152	152. Malt drinks	94	0.9%
153	153. Soft drinks (Coca cola, sprit, etc)	94	0.9%
154	154. Fruit juice canned/pack	71	0.7%
155	155. Other non-alcoholic drinks	38	0.4%
160	160. Beer(local and imported)	305	3%
161	161. Palm oil	215	2.1%
162	162. Pito	66	0.6%
163	163. Gin	238	2.3%
164	164. Other alcoholic beverages	116	1.1%
601	601. Guava	51	0.5%

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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