NBS Website | Register | Login
Login
NATIONAL BUREAU OF STATISTICS
An Online Microdata Catalog
  • Home
  • Microdata Catalog
  • Contact
    Home / Central Data Catalog / NGA-NBS-NGHPS-2016-V1.0 / variable [F52]
central

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

Nigeria, 2015
Get Microdata
Reference ID
NGA-NBS-NGHPS-2016-v1.0
Producer(s)
National Bureau of Statistics (NBS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 11, 2016
Last modified
Dec 11, 2016
Page views
191433
Downloads
126286
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • 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 11L1_
    Extension
    Services 1
  • Section 11L2_
    Extension
    Services 2
  • Section 11J_
    Animal Costs
  • Section 11K_
    Agricultural
    by-Product
  • Section 12_
    Network Roster
  • Section A-1_
    Household
    Identification
  • 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.
Back to Catalog
National Bureau of Statistics | Microdata Catalog

© National Bureau of Statistics | Microdata Catalog, All Rights Reserved.