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    Home / Data Portal / GHA-GSS-GLSS6-2012-2013-V1.0 / variable [F100]
central

Ghana Living Standards Survey 2012-2013, Round 6

Ghana, 2012 - 2013
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Reference ID
gha-gss-glss6-2012-2013-v1.0
Producer(s)
Ghana Statistical Service
Metadata
DDI/XML JSON
Created on
Feb 22, 2021
Last modified
Feb 28, 2021
Page views
194973
Downloads
989
  • Study Description
  • Data Description
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  • Data files
  • SEC0
  • SECA01
  • SECA04
  • SEC1
  • SEC2a
  • SEC2b
  • SEC2c
  • SEC3a
  • SEC3b
  • SEC3c
  • SEC3d
  • SEC3e
  • SEC4a
  • SEC4b
  • SEC4c
  • SEC4d
  • SEC4e
  • SEC4f
  • SEC4g
  • SEC4h
  • SEC4hs
  • SEC5a
  • SEC5b
  • SEC6
  • SEC6q10
  • SEC7
  • g6loc
  • secb0
  • secb1
  • secb2
  • sec8a1
  • sec8a2
  • sec8a3
  • sec8b
  • sec8c1
  • sec8c2
  • sec8d
  • sec8e
  • sec8f
  • sec8g
  • sec8h
  • sec9a
  • sec9b
  • sec9c
  • sec10_survinfo
  • sec10_filters
  • sec10A
  • sec10B
  • sec10C1
  • sec10C2
  • sec10D11
  • sec10D12
  • sec10D21
  • sec10D22
  • sec10D3_1
  • sec10D3_2
  • sec10D4_1
  • sec10D4_2
  • sec10D5a
  • sec10D5b
  • sec10D6a
  • sec10D6b
  • sec10E
  • sec10E1
  • sec10E2
  • sec10F1
  • sec10F2
  • sec10G1
  • sec10G2
  • sec10H
  • sec11a
  • sec11b
  • sec11c
  • sec11d
  • sec11ea
  • sec11eb1
  • sec11eb2
  • sec11ec
  • sec12a
  • sec12b
  • sec12c
  • gsec0
  • gsec13a
  • gsec13b
  • gsec13c
  • gsec13d
  • gsec13e
  • gsec13f
  • gsec13g
  • comsec0
  • comsec1
  • comsec2
  • comsec3
  • comsec41
  • comsec42
  • comsec43
  • comsec51
  • comsec52
  • price_sec0
  • price_sec1
  • price_sec2

Food item code (Fcode)

Data file: price_sec1

Overview

Valid: 0
Invalid: 0
Type: Discrete
Decimal: 0
loc_start_pos: 8
loc_end_pos: 10
Width: 3
Range: 1 - 102
Format: Numeric

Questions and instructions

Literal question
Food item code
Categories
Value Category
1 Guinea corn/sorghum
2 Maize
3 Millet
4 Rice (local)
5 Rice (imported)
6 Bread-sugar bread
7 Biscuits (cookies)
8 Flour (wheat)
9 Maize ground/corn dough
10 Corned beef
11 Snail
12 Beef
13 Goat meat
14 Mutton
15 Bushmeat/wild game (grasscutter)
16 Chicken
17 Crustaceans (lobsters, crabs, prawns)
18 Fish (fresh and frozen)
19 Fish (dried-koobi)
20 Fish (smoked-river fish)
21 Fish (smoked herrings)
22 Fish (canned-tuna)
23 Fish (canned-sardines)
24 Fish (mackerel in tomato sauce)
25 Milk (fresh)
26 Milk (powdered)
27 Baby milk (lactogen)
28 Tinned milk - ideal, peak etc. (evaporated)
29 Tinned milk (sweetened)
30 Chicken eggs
31 Coconut oil
32 Ground nut oil
33 Vegetable oil (frytol, obaapa)
34 Palm oil
35 Shea butter
36 Margarine (canned, sachet)
37 Kolanut
38 Coconut (fresh)
39 Banana
40 Oranges/tangerines
41 Pineapple
42 Mango (grafted)
43 Avocado pear
44 Apples (imported)
45 Cocoyam leaves (kontomire/alefu)
46 Garden eggs
47 Okro
48 Carrots
49 Pepper (fresh)
50 Pepper (dried)
51 Onions/shallot (large/small)
52 Tomatoes (fresh)
53 Tomato paste (canned)
54 Garlic
55 Sugar (cube, st. Louis)
56 Sugar (granulated)
57 Honey (bottle)
58 Ice cream (fan ice, yoghurt)
59 Chocolate (bar)
60 Chewing gum (pk, mentos)
61 Black pepper
62 Salt (iodized)
63 Ginger
64 Maggi cubes
65 Cassava (fresh)
66 Cassava dough
67 Cassava flour (konkonte)
68 Cocoyam
69 Plantain
70 Yam
71 Beans (white)
72 Groundnut (shelled)
73 Groundnut (roasted)
74 Palm nut fruits
75 Other pulse and nuts specified (e.G. Cashew nut, tiger nuts)
76 Gari
77 Coffee (nescafe - tin)
78 Chocolate drinks (milo, bournvita, other specified)
79 Pure cocoa powder (without milk, e.G. Brown gold)
80 Tea (lipton)
81 Coca cola / fanta (bottled)
82 Malt drinks
83 Fruits juices (don simon multifruita, ceres)
84 Mineral water (bottled)
85 Mineral water (sachet)
86 Gin
87 Whisky
88 Akpeteshie
89 Bitters (alomo, agya appiah, herbafric)
90 Palm wine / raffia palm wine, etc.
91 Imported wine
92 Pito / brukutu, etc.
93 Beer (star, club)
94 Beer (imported)
95 Guinness and other stout
96 Cooked rice and stew
97 Fufu/tuo with soup
98 Kenkey with fried fish
99 Fast foods (fried rice)
100 Fried plantain and beans (red red)
101 Rice and chicken sauce
102 Banku and stew
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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