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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 406146 Documentation in PDF Metadata DDI/XML JSON
  • Study description
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  • 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

Section (hq01)

Data file: Weekly Food Expenditure

Overview

vald 21024
invd 0
Interval discrete
Decimal 0
Range 1 - 14

Questions and instructions

Categories
Value Category Cases
1 q10_10: Fruits 2256
10.7%
2 q10_11: Drinks 1037
4.9%
3 q10_12: Alcohol 668
3.2%
4 q10_13: Tobacco & tobacco products 678
3.2%
5 q10_14: Miscellaneous Food 452
2.1%
6 q10_15: Food out 1657
7.9%
7 q10_2: Food grains 3533
16.8%
8 q10_3: Fish 850
4%
9 q10_4: Meat 1326
6.3%
10 q10_5: Vegetables 3281
15.6%
11 q10_6: Spices 1667
7.9%
12 q10_7: Milk & Dairy 1480
7%
13 q10_8: Oil & Fats 992
4.7%
14 q10_9: Sugar & molasses 1147
5.5%
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
SECTION 10: EXPENDITURES

PART A: WEEKLY FOOD (from day 1 to day 7)

We shall now talk about food items this household has consumed in the last seven days. We shall talk about the quantities consumed and the approximate amount of money spent to buy these items. Please give us the best estimates since it might not be possible to recall exact amounts.

Description

Text
Variable identifying the different sections covered by this dataset
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