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    Home / Central Data Catalog / IMPACT_EVALUATION / KEN_2010_HSNP-FU1_V01_M / variable [F30]
impact_evaluation

Hunger Safety Net Programme Impact Evaluation 2010-2011, First Follow-up Round

Kenya, 2010 - 2011
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Reference ID
KEN_2010_HSNP-FU1_v01_M
DOI
https://doi.org/10.48529/ydfa-8q46
Producer(s)
Oxford Policy Management Limited
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 14, 2014
Last modified
Jan 14, 2014
Page views
133711
Downloads
12889
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • 3moves
  • 3table
  • 5table
  • 6education
  • 6health
  • 6personnel
  • 6table
  • 7food
  • 7food1
  • 7other
  • 7other1
  • comq_linking_FU
  • comq_weights
  • coversheet
  • section3
  • section4
  • section5
  • section8
  • section9
  • section10
  • section11
  • section99
  • ClusterMaster
  • disaggregation_data
  • hh_weights_original
  • HHAsset
  • HHBeneficiaries
  • HHconsData
  • HHCopingStrategy
  • HHData
  • HHEmploymentProgramme
  • HHFoodAid
  • HHFoodconsData
  • HHImpact
  • HHLivestock
  • HHMember
  • HHMover
  • HHOpMon
  • HHPreambleTracking
  • HHProvidedFor
  • HHSampleRecord
  • HHTransfer
  • HHVisit

What was this last loan for? (T7KQ09)

Data file: HHData

Overview

Valid: 552
Invalid: 4085
Type: Discrete
Decimal: 0
Start: 1413
End: 1414
Width: 2
Range: 1 - 97
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Food and basic needs 276
50%
2 Basic supplies (batteries, gas, etc) 8
1.4%
3 Livestock 13
2.4%
4 Livestock production (including trade in livestock) 14
2.5%
5 Agriculutral production (including trade in agriculutral products) 2
0.4%
6 Household asset 19
3.4%
7 Cell phone airtime 0
0%
8 Business (not livestock or agriculture) 39
7.1%
9 Education expenses 74
13.4%
10 Health expenses 72
13%
11 Funeral expenses 7
1.3%
12 Transport 21
3.8%
13 Wedding or dowry 2
0.4%
97 Other (specify) 5
0.9%
Sysmiss 4085
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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