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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
154414
Downloads
15679
  • 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

Why were you not selected to be a beneficiary? (P2_Q17b)

Data file: HHPreamble

Overview

Valid: 1184
Invalid: 3926
Type: Discrete
Decimal: 0
Start: 1038
End: 1039
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Not aware of programme 28
2.4%
2 Registration too short 52
4.4%
3 Not present in sub-location at time of registration (eg in bush) 21
1.8%
4 No national ID card 1
0.1%
5 Belong to marginalized group 7
0.6%
6 Incorrect DOB on ID card 5
0.4%
7 Judged to be too rich 12
1%
8 Too sick to attend the registration 3
0.3%
9 Rejected by Vetting Committee 11
0.9%
10 Did not understand targeting criteria 12
1%
97 Other (specify) 19
1.6%
98 Don't know 231
19.5%
99 N/A 782
66%
Sysmiss 3926
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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