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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NGA_2015-2016_GHS-W3-PP_V01_EN_M_V01_A_OCS / variable [F53]
agricultural-surveys

General Household Survey-Panel Wave 3 (Post Planting) 2015-2016

Nigeria, 2015
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Reference ID
NGA_2015-2016_GHS-W3-PP_v01_EN_M_v01_A_OCS
Producer(s)
National Bureau of Statistics (NBS)
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 17, 2019
Last modified
Jul 17, 2019
Page views
173396
Downloads
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • Section A-1_
    Household
    Identification
  • Section 1_
    Roster
  • Section 3_Labor
  • Section
    4A_Savings and
    Insurance
  • Section 4B_ ICT
    - Mobile Phone
    Banking
  • Section
    4C_Credit
  • Section
    4C2_Credit
  • Section
    4C2_Credit
  • Section 5_
    Household
    Assets
  • Section
    7A_Meals Away
    from Home
  • Section 7B_Food
    Expenditure
  • Section 8A_
    Non-Food
    Expenditure
  • Section 8B_
    Non-Food
    Expenditure
  • Section
    8C_Non-Food
    Expenditure
  • Section 9_Food
    Security
  • Section
    9B_Subjective
    Wellbeing
  • Section
    11_Housing
  • Section A-1_
    Household
    Identification
  • Section 11A_
    Plot Roster
  • Section 11A1_
    Plot Roster
  • Section 11B1_
    Land Invetory
  • Section 11C1_
    Labor
  • Section
    11E_Seed
    Acquisition
  • Section 11F_
    Planted Field
    and Tree Crops
  • Section
    11I_Animal
    Holdings
  • Section 11J_
    Animal Costs
  • Section 11K_
    Agricultural
    by-Product
  • Section 11L1_
    Extension
    Services 1
  • Section 11L2_
    Extension
    Services 2
  • Section 12_
    Network Roster
  • Community
    _Identification
  • Section 1_
    Respondent
    Characteristics
  • Section 2A_Food
    Prices - 1st
    Location
  • Section 2B_
    Food Prices -
    2nd Location
  • Section 3A_
    Labor
  • Section 3B_
    Labor
  • Section 4A_
    Land Prices and
    Credit
  • Section 4B_
    Land prices and
    credit

Item code (Item_cd)

Data file: Section 2B_ Food Prices - 2nd Location

Overview

Valid: 10184
Invalid: 0
Minimum: 10
Maximum: 601
Type: Discrete
Decimal: 0
Width: 3
Range: 10 - 601
Format: Numeric

Questions and instructions

Literal question
Item code
Categories
Value Category Cases
10 Guinea corn/sorghum 48
0.5%
11 Millet 42
0.4%
13 Rice - local 80
0.8%
14 Rice - imported 93
0.9%
16 Maize flour 33
0.3%
17 Yam flour 22
0.2%
18 Cassava flour 34
0.3%
19 Wheat flour 46
0.5%
20 Maize (unshelled/on the cob) 49
0.5%
21 Maize (shelled/on the cob) 56
0.5%
22 Maize (shelled/off the cob) 75
0.7%
23 Other grains and flour 8
0.1%
25 Bread 97
1%
26 Cake 73
0.7%
27 Buns/pofpof/donuts 82
0.8%
28 Biscuits 98
1%
29 Meat pie/sausage roll 73
0.7%
30 Cassava - roots 59
0.6%
31 Yam - roots 89
0.9%
32 Gari - white 87
0.9%
33 Gari - yellow 84
0.8%
34 Cocoyam 61
0.6%
35 Plantains 77
0.8%
36 Sweet potatoes 74
0.7%
37 Potatoes 40
0.4%
38 Other roots and tuber 5
0%
40 Soya beans 50
0.5%
41 Brown beans 81
0.8%
42 White beans 94
0.9%
43 Groundnuts (unshelled) 68
0.7%
44 Groundnuts (shelled) 79
0.8%
45 Other nuts/seeds/pulses 9
0.1%
46 Coconut 67
0.7%
47 Kola nut 81
0.8%
48 Cashew nut 30
0.3%
50 Palm oil 93
0.9%
51 Butter/margarine 62
0.6%
52 Groundnuts oil 88
0.9%
53 Other oil and fat 19
0.2%
54 Sheabutter 22
0.2%
55 Coconut oil 18
0.2%
56 Animal fat 3
0%
60 Bananas 85
0.8%
61 Orange/tangerine 83
0.8%
62 Mangoes 2
0%
63 Avocado pear 40
0.4%
64 Pineapples 64
0.6%
65 Fruit canned 28
0.3%
66 Other fruits 12
0.1%
67 Pawpaw 78
0.8%
68 Watermelon 81
0.8%
69 Apples 72
0.7%
70 Tomatoes 465
4.6%
71 Tomato puree (canned) 416
4.1%
72 Onions 480
4.7%
73 Garden eggs/egg plant 410
4%
74 Okra - fresh 472
4.6%
75 Okra - dried 237
2.3%
76 Fresh pepper 455
4.5%
77 Dry pepper 419
4.1%
78 Leaves (cocoyam, spinash,etc.) 179
1.8%
79 Other vegetables (fresh or canned) 191
1.9%
80 Chicken 74
0.7%
81 Duck 12
0.1%
82 Other domestic poultry 15
0.1%
83 Agricultural eggs 93
0.9%
84 Local eggs 55
0.5%
85 Other eggs (not chicken) 5
0%
90 Beef 84
0.8%
91 Mutton 6
0.1%
92 Pork 13
0.1%
93 Goat 75
0.7%
94 Wild game/bush meat 14
0.1%
95 Canned beef/corned beef 20
0.2%
96 Other meat (excl. Poultry) 1
0%
100 Fish-fresh 28
0.3%
101 Fish-frozen 82
0.8%
102 Fish-smoked 81
0.8%
103 Fish-dried 83
0.8%
104 Snails 31
0.3%
105 Seafood (lobster,crab,prawns,etc) 28
0.3%
106 Canned fish/seafood 25
0.2%
107 Other fish or seafood 14
0.1%
110 Fresh milk 16
0.2%
111 Milk powder 94
0.9%
112 Baby milk powder 74
0.7%
113 Milk tinned (unsweetened) 92
0.9%
114 Cheese (wara) 9
0.1%
115 Other milk products 18
0.2%
120 Coffee 61
0.6%
121 Chocolate drinks (including milo) 95
0.9%
122 Tea 82
0.8%
130 Sugar 97
1%
131 Jams 7
0.1%
132 Honey 39
0.4%
133 Other sweets and confectionary 6
0.1%
140 Condiments (salt, spices, pepper, etc) 69
0.7%
141 Salt 97
1%
142 Unground ogbono 69
0.7%
143 Ground ogbono 5
0%
144 Ground pepper 72
0.7%
145 Melon (shelled) 73
0.7%
146 Melon (unshelled) 62
0.6%
147 Mellon (ground) 15
0.1%
150 Bottled water 90
0.9%
151 Sachet water 94
0.9%
152 Malt drinks 94
0.9%
153 Soft drinks (coca cola, sprit, etc) 94
0.9%
154 Fruit juice canned/pack 71
0.7%
155 Other non-alcoholic drinks 38
0.4%
160 Beer(local and imported) 306
3%
161 Palm oil 216
2.1%
162 Pito 66
0.6%
163 Gin 238
2.3%
164 Other alcoholic beverages 117
1.1%
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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