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    Home / Central Data Catalog / IMPACT_EVALUATION / KEN_2009_HSNP-BL_V01_M / variable [F30]
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
154393
Downloads
15673
  • 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

Coping strategy description (T7GQ09b)

Data file: HHCopingStrategy

Overview

Valid: 40864
Invalid: 0
Type: Discrete
Decimal: 0
Start: 17
End: 17
Width: 1
Range: 1 - 8
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Borrow food or rely on help from family or relatives (other than Main Provider)? 5108
12.5%
2 Sell any of your animals to buy food? 5108
12.5%
3 Sell any other assets 5108
12.5%
4 Buy food on credit from a shop? 5108
12.5%
5 Collect and eat wild food and/or animals? 5108
12.5%
6 Reduced number of meals? 5108
12.5%
7 Eaten smaller meals than you would have liked? 5108
12.5%
8 Skipped entire days without eating solids? 5108
12.5%
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.
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