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    Home / Central Data Catalog / IMPACT_EVALUATION / KEN_2009_HSNP-BL_V01_M / variable [F43]
impact_evaluation

Hunger Safety Net Programme Impact Evaluation 2009-2010, Baseline Survey

Kenya, 2009 - 2010
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Reference ID
KEN_2009_HSNP-BL_v01_M
DOI
https://doi.org/10.48529/p83z-8d45
Producer(s)
Oxford Policy Management Limited
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 10, 2014
Last modified
Jan 13, 2014
Page views
194627
Downloads
20392
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • 3moves
  • 3table
  • 5table
  • 6education
  • 6health
  • 6personnel
  • 6table
  • 7food
  • 7food1
  • 7other
  • 7other1
  • comq_linking_BL
  • comq_weights
  • coversheet
  • section1
  • section2
  • section3
  • section4
  • section5
  • section8
  • section9
  • section10
  • section11
  • section99
  • HHAsset
  • HHAssetLivelihood
  • HHBeneficiaries
  • HHChild
  • HHconsData
  • HHCopingStrategy
  • HHData
  • HHEmploymentProramme
  • HHEnrollment
  • HHEnterprise
  • HHEnterpriseMember
  • HHFoodAid
  • HHFoodconsData
  • HHItemPurchaseDistance
  • HHLand
  • HHLivestock
  • HHMember
  • HHOtherDescription
  • HHPreamble
  • HHProvidedFor
  • HHTransfer
  • HHVisit
  • HHWives
  • hh_weights_original
  • ClusterMaster
  • disaggregation_data

P2_Q15a Description (P2_Q15a_OtherDes)

Data file: HHPreamble

Overview

Valid: 14
Invalid: 0
Type: Discrete
Start: 762
End: 842
Width: 81
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
I am also old and I dont see the reason why I should be descriminated 1
7.1%
I qualify because my livestock was taken away by thiefs 1
7.1%
ID cards were misleading duringegistrtion 1
7.1%
Some people did not deservr were enrolled 1
7.1%
Use of Ids misled tageting 1
7.1%
all people should benefit from Goverment's programmes 1
7.1%
cheat people 1
7.1%
i was not targetted because my daughter who is not a hh member had been targetted 1
7.1%
it is not fair to see other people benefiting while I am suffering 1
7.1%
short time in targetting process 1
7.1%
some able people were among the beneficiary 1
7.1%
the area chief was involved in choosing who to be registered 1
7.1%
the old people cannot invest the money in any business they only use for food 1
7.1%
was left out with no apparent reason 1
7.1%
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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