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    Home / Central Data Catalog / POPULATION_DYNAMICS_AND_URBANIZATION_IN_AFRICA / APHRC-UPHD-POVERTY-2007-1.1 / variable [F8]
Population_Dynamics_and_Urbanization_in_Africa

UPHD - Detailed Household Income and Expenditure Survey 2007

KENYA, 2007 - 2010
Population Dynamics and Urbanization in Africa (PDAU)
African Population & Health Research Center
Last modified March 17, 2015 Page views 406144 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
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  • Data files
  • Annual Non-Food
    Expenditure 2
  • Household
    Inventory
  • Monthly
    Non-Food
    Expenditure
  • Transfers and
    social
    assistance-
    Transfers to
    another
    household
  • Household
    Information
  • Household
    members
    economic
    activities
  • Household
    members
    personal
    characteristics
  • Subjective
    Poverty and
    Food Security
  • Transfers and
    social
    assistance-Transfers
    to the
    household
  • Weekly Food
    Expenditure
  • Annual Non-Food
    Expenditure 1
CSV JSON

Food Item consumed (hq03)

Data file: Weekly Food Expenditure

Overview

vald 20873
invd 151
Interval discrete
Decimal 0
Range 1 - 66

Questions and instructions

Literal question
10.1 Please tell me the kinds of food your household consumed in the last 7 days. Include foods eaten outside your home (e.g. food bought in hotels, canteens, roadside etc)
Categories
Value Category Cases
1 Animal fat/oil 148
0.7%
2 Apples 195
0.9%
3 Avocado 278
1.3%
4 Bananas 405
1.9%
5 Beans 416
2%
6 Beef 526
2.5%
7 Biscuits 157
0.8%
8 Bread/scones/buns 398
1.9%
9 Butter/Margarine 199
1%
10 Carrots 223
1.1%
11 Cauliflower/Cabbage 401
1.9%
12 Chapati 255
1.2%
13 Chicken 166
0.8%
14 Chilli 184
0.9%
15 Chocolate/Ice-cream 151
0.7%
16 Cigarette 212
1%
17 Dhania 258
1.2%
18 Dried fish 223
1.1%
19 Eggs 303
1.5%
20 Fanta/Coca-Cola/Soft drink/juice 251
1.2%
21 French beans 162
0.8%
22 Fresh fish 250
1.2%
23 Garlic 173
0.8%
24 Ginger 167
0.8%
25 Goat 185
0.9%
26 Guava 150
0.7%
27 Honey 155
0.7%
28 Lentil 202
1%
29 Liquid milk 677
3.2%
30 Liquor/spirits 158
0.8%
31 Local brew 187
0.9%
32 Maize 261
1.3%
33 Maize flour/ugali 724
3.5%
34 Mangoes 311
1.5%
35 Matoke 206
1%
36 Meals at school 154
0.7%
37 Meals in canteen/roadside 369
1.8%
38 Meals in restaurant 273
1.3%
39 Melon 172
0.8%
40 Miraa 170
0.8%
41 Molasses (Sugarcane/Date/Palm) 156
0.7%
42 Mutton 150
0.7%
43 Nyama Choma 156
0.7%
44 Omena 223
1.1%
45 Onion 731
3.5%
46 Oranges 152
0.7%
47 Other 2245
10.8%
48 Ovaltine/Cocoa/drinking chocolate 186
0.9%
49 Pawapaw 167
0.8%
50 Pork 151
0.7%
51 Potato 441
2.1%
52 Powder milk 151
0.7%
53 Rice 579
2.8%
54 Sauce 150
0.7%
55 Snacks 173
0.8%
56 Soft drinks 168
0.8%
57 Spinach 344
1.6%
58 Sugar 692
3.3%
59 Sukuma wiki/Kales 703
3.4%
60 Tea/Coffee 655
3.1%
61 Tobacco leaf/snuff 147
0.7%
62 Tomato 664
3.2%
63 Traditional Vegetables(Terere/managu) 189
0.9%
64 Tusker/Pilsner 175
0.8%
65 Vegetable oil/fat 696
3.3%
66 Wheat flour 174
0.8%
Sysmiss 151
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.
Question pretext
[FW: PLEASE CIRCLE ALL FOODS MENTIONED BEFORE ASKING i-iv]
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