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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / GMB_2010-2011_IHS_V01_EN_M_V01_A_OCS / variable [F13]
agricultural-surveys

Integrated Household Survey 2010-2011

Gambia, 2010 - 2011
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Reference ID
GMB_2010-2011_IHS_v01_EN_M_v01_A_OCS
Producer(s)
The Gambia Bureau of Statistics
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 08, 2020
Last modified
Nov 08, 2022
Page views
20459
Downloads
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • Durable goods
    deflators
  • GMB_2010_IHS HH
    weights
  • GMB_2010_IHS
    Part 1-Section
    0 Household
    characteristics
  • GMB_2010_IHS
    Part 1-Section
    1-2-3-4-13
    roster
  • GMB_2010_IHS
    Part 1-Section
    5b Livestock
  • GMB_2010_IHS
    Part 1-Section
    6 Household
    Income
  • GMB_2010_IHS
    Part 1-Section
    7_2 Rent paid
  • GMB_2010_IHS
    Part 1-Section
    8 Housing
    amenities
  • GMB_2010_IHS
    Part 1-Section
    9 Ownership of
    assets
  • GMB_2010_IHS
    Part 1-Section
    10 Environment
  • GMB_2010_IHS
    Part 1-Section
    11 Perception
    about Poverty
  • GMB_2010_IHS
    Part 1-Section
    12 Governance
  • GMB_2010_IHS
    Part 2-Module A
    Food own
    consumption 3
    days
  • GMB_2010_IHS
    Part 2-Module B
    Food
    consumption
    expenditure-1
    week
  • GMB_2010_IHS
    Part 2-Module
    C_1 Non-food
    expenditure-1
    week
  • GMB_2010_IHS
    Part 2-Module
    C_2 Non-food
    expenditure-1
    month
  • GMB_2010_IHS
    Part 2-Module D
    Non-food
    expenditure-3
    months
  • GMB_2010_IHS
    Part 2-Module E
    Non-food
    expenditure-12
    months
  • GMB_2010_IHS
    Part 2-Module F
    Durable goods
  • GMB_2010_IHS
    Part 2-Module G
    Receipts from
    sale of used
    items
  • GMB_2010_IHS
    Part 2-Module
    H_1
    Miscellaneous
    income
  • GMB_2010_IHS
    Part 2-Module
    H_2
    Miscellaneous
    expenditure
  • GMB_2010_IHS
    Part 2-Module I
    Transfer
    payments made
    out
  • GMB_2010_IHS
    Part 2-Module J
    Transfer
    payments
    received
  • GMB_2010_IHS
    Part 2-Section
    0 Household
    characteristics

Item code (a02)

Data file: GMB_2010_IHS Part 2-Module A Food own consumption 3 days

Overview

Valid: 274788
Invalid: 0
Type: Discrete
Decimal: 0
Start: 41
End: 43
Width: 3
Range: 100 - 156
Format: Numeric

Questions and instructions

Question pretext
Item Code
Categories
Value Category Cases
100 long-grained rice (imported) 4817
1.8%
101 paddy rice long grain (local) 4817
1.8%
102 medium-grained rice (imported) 4817
1.8%
103 small grained rice (imported) 4817
1.8%
104 basmati rice (imported) 4816
1.8%
105 millet (coose) 4817
1.8%
106 maize 4817
1.8%
107 sorghum 4817
1.8%
108 bread 4817
1.8%
109 chicken 4817
1.8%
110 fresh bonga 4817
1.8%
111 smoked bonga 4817
1.8%
112 cat fish 4817
1.8%
113 dried fish 4817
1.8%
114 eggs 4817
1.8%
115 fresh milk 4817
1.8%
116 sour milk 4817
1.8%
117 powdered milk 4817
1.8%
118 palm oil 4817
1.8%
119 margarine 4817
1.8%
120 vegetable oil 4817
1.8%
121 mayonnaise 4817
1.8%
122 peanut butter 4817
1.8%
123 groundnuts-unshelled 4817
1.8%
124 groundnuts-shelled 4817
1.8%
125 kola nuts 4817
1.8%
126 oranges 4817
1.8%
127 potatoes(irish) 4817
1.8%
128 potatoes(sweet) 4817
1.8%
129 cassava 4817
1.8%
130 tomatoes-fresh 4817
1.8%
131 bitter tomato 4817
1.8%
132 garden eggs 4817
1.8%
133 okra 4817
1.8%
134 onion 4817
1.8%
135 pumpkin 4817
1.8%
136 big red pepper 4817
1.8%
137 kren-kren 4817
1.8%
138 bisap 4817
1.8%
139 cabbage 4817
1.8%
140 tomato puree(paste) 4817
1.8%
141 green leaves 4817
1.8%
142 sugar 4817
1.8%
143 black mint 4817
1.8%
144 salt 4817
1.8%
145 garlic 4817
1.8%
146 maggi cube 4817
1.8%
147 small dry pepper 4839
1.8%
148 locust beans(neteetu) 4839
1.8%
149 chilli powder(black pepper) 4839
1.8%
150 vinegar 4839
1.8%
151 powder pepper 4839
1.8%
152 tea bags 4839
1.8%
153 chinese green tea(20)(ataya) 4839
1.8%
154 mineral water 4839
1.8%
155 cow meat 4839
1.8%
156 sheep/goat meat 4839
1.8%
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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