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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 [F52]
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
179187
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 2A_Food Prices - 1st Location

Overview

Valid: 27849
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 351
1.3%
11 Millet 301
1.1%
13 Rice - local 414
1.5%
14 Rice - imported 436
1.6%
16 Maize flour 138
0.5%
17 Yam flour 127
0.5%
18 Cassava flour 223
0.8%
19 Wheat flour 193
0.7%
20 Maize (unshelled/on the cob) 241
0.9%
21 Maize (shelled/on the cob) 187
0.7%
22 Maize (shelled/off the cob) 367
1.3%
23 Other grains and flour 39
0.1%
25 Bread 480
1.7%
26 Cake 276
1%
27 Buns/pofpof/donuts 388
1.4%
28 Biscuits 479
1.7%
29 Meat pie/sausage roll 229
0.8%
30 Cassava - roots 287
1%
31 Yam - roots 428
1.5%
32 Gari - white 444
1.6%
33 Gari - yellow 350
1.3%
34 Cocoyam 219
0.8%
35 Plantains 307
1.1%
36 Sweet potatoes 338
1.2%
37 Potatoes 195
0.7%
38 Other roots and tuber 25
0.1%
40 Soya beans 284
1%
41 Brown beans 319
1.1%
42 White beans 474
1.7%
43 Groundnuts (unshelled) 382
1.4%
44 Groundnuts (shelled) 400
1.4%
45 Other nuts/seeds/pulses 37
0.1%
46 Coconut 352
1.3%
47 Kola nut 420
1.5%
48 Cashew nut 70
0.3%
50 Palm oil 479
1.7%
51 Butter/margarine 274
1%
52 Groundnuts oil 425
1.5%
53 Other oil and fat 129
0.5%
54 Sheabutter 117
0.4%
55 Coconut oil 78
0.3%
56 Animal fat 52
0.2%
60 Bananas 422
1.5%
61 Orange/tangerine 417
1.5%
62 Mangoes 22
0.1%
63 Avocado pear 122
0.4%
64 Pineapples 275
1%
65 Fruit canned 109
0.4%
66 Other fruits 60
0.2%
67 Pawpaw 312
1.1%
68 Watermelon 360
1.3%
69 Apples 239
0.9%
70 Tomatoes 92
0.3%
71 Tomato puree (canned) 88
0.3%
72 Onions 95
0.3%
73 Garden eggs/egg plant 86
0.3%
74 Okra - fresh 92
0.3%
75 Okra - dried 24
0.1%
76 Fresh pepper 89
0.3%
77 Dry pepper 77
0.3%
78 Leaves (cocoyam, spinash,etc.) 26
0.1%
79 Other vegetables (fresh or canned) 39
0.1%
80 Chicken 411
1.5%
81 Duck 182
0.7%
82 Other domestic poultry 120
0.4%
83 Agricultural eggs 456
1.6%
84 Local eggs 357
1.3%
85 Other eggs (not chicken) 75
0.3%
90 Beef 439
1.6%
91 Mutton 178
0.6%
92 Pork 99
0.4%
93 Goat 353
1.3%
94 Wild game/bush meat 90
0.3%
95 Canned beef/corned beef 75
0.3%
96 Other meat (excl. Poultry) 12
0%
100 Fish-fresh 227
0.8%
101 Fish-frozen 411
1.5%
102 Fish-smoked 374
1.3%
103 Fish-dried 369
1.3%
104 Snails 160
0.6%
105 Seafood (lobster,crab,prawns,etc) 106
0.4%
106 Canned fish/seafood 139
0.5%
107 Other fish or seafood 27
0.1%
110 Fresh milk 165
0.6%
111 Milk powder 454
1.6%
112 Baby milk powder 316
1.1%
113 Milk tinned (unsweetened) 409
1.5%
114 Cheese (wara) 98
0.4%
115 Other milk products 93
0.3%
120 Coffee 286
1%
121 Chocolate drinks (including milo) 435
1.6%
122 Tea 402
1.4%
130 Sugar 480
1.7%
131 Jams 22
0.1%
132 Honey 274
1%
133 Other sweets and confectionary 78
0.3%
140 Condiments (salt, spices, pepper, etc) 360
1.3%
141 Salt 483
1.7%
142 Unground ogbono 245
0.9%
143 Ground ogbono 58
0.2%
144 Ground pepper 313
1.1%
145 Melon (shelled) 331
1.2%
146 Melon (unshelled) 252
0.9%
147 Mellon (ground) 150
0.5%
150 Bottled water 391
1.4%
151 Sachet water 473
1.7%
152 Malt drinks 472
1.7%
153 Soft drinks (coca cola, sprit, etc) 478
1.7%
154 Fruit juice canned/pack 299
1.1%
155 Other non-alcoholic drinks 208
0.7%
160 Beer(local and imported) 74
0.3%
161 Palm oil 49
0.2%
162 Pito 4
0%
163 Gin 60
0.2%
164 Other alcoholic beverages 13
0%
601 Guava 164
0.6%
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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