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    Home / Central Data Catalog / POPULATION_DYNAMICS_AND_URBANIZATION_IN_AFRICA / APHRC-UPHD-POVERTY-2007-1.1 / variable [F10]
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 410674 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: Annual Non-Food Expenditure 2

Overview

vald 10793
invd 0
Interval discrete
Decimal 0
Range 1 - 8

Questions and instructions

Categories
Value Category Cases
1 q10_25: HOUSEHOLD-USE TEXTILES 2368
21.9%
2 q10_26: MISC. HOUSEHOLD DURABLES 2071
19.2%
3 q10_27: HOUSING RELATED EXPENSES 795
7.4%
4 q10_28: CEREMONIES 1296
12%
5 q10_29: TAXES, INTEREST, FINES 882
8.2%
6 q10_30: COOKING EQUIPMENT 1029
9.5%
7 q10_31: FURNITURE & RELATED PARAPHERNALIA 882
8.2%
8 q10_32: PERSONAL ARTICLES 1470
13.6%
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.
Question pretext
SECTION 10: PART C: ANNUAL NON-FOOD EXPENDITURE



Expenditure/ consumption during the past 12 months This section will deal with expenditure for the last one year on non food items. We acknowledge that it is difficult to remember the exact amount spent but please try to give us your best estimate.

Description

Text
Variable identifying the different sections covered by this dataset
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