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    Home / Central Data Catalog / IMPACT_EVALUATION / KEN_2012_HSNP-FU2_V01_M / variable [F40]
impact_evaluation

Hunger Safety Net Programme Impact Evaluation 2012, Second Follow-up Round

Kenya, 2012
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Reference ID
KEN_2012_HSNP-FU2_v01_M
DOI
https://doi.org/10.48529/3jkx-m214
Producer(s)
Oxford Policy Management Limited
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 15, 2014
Last modified
Jan 15, 2014
Page views
165698
Downloads
15194
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • 3moves
  • 3table
  • 5table
  • 6education
  • 6health
  • 6personnel
  • 6table
  • 7food
  • 7food1
  • 7other
  • 7other1
  • comq_linking_FU2
  • comq_weights
  • coversheet
  • section3
  • section4
  • section5
  • section8
  • section9
  • section10
  • section11
  • section99
  • ClusterMaster
  • disaggregation_data
  • HHAsset
  • HHAssetLivelihood
  • HHBeneficiaries
  • HHCHild
  • HHconsData
  • HHCopingStrategy
  • HHData
  • HHEmploymentProgramme
  • HHEnterprise
  • HHEnterpriseMember
  • HHFoodAid
  • HHFoodconsData
  • HHImpact
  • HHItemPurchaseDistance
  • HHLivestock
  • HHMember
  • HHMover
  • HHOpMon
  • HHOtherCashTrans
  • HHPreambleTracking
  • HHProvidedFor
  • HHSampleRecord
  • HHTransfer
  • HHVisit
  • hh_weights_original

Who was consulted for this illness or injury? FIRST (T5CQ09a)

Data file: HHMember

Overview

Valid: 1345
Invalid: 13005
Type: Discrete
Decimal: 0
Start: 390
End: 391
Width: 2
Range: 1 - 97
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Community health worker 187
13.9%
2 Government hospital 400
29.7%
3 Government health centre 58
4.3%
4 Government dispensary 580
43.1%
5 Private doctor/nurse 3
0.2%
6 Private hospital/clinic 85
6.3%
7 NGO/FBO health facility 4
0.3%
8 Traditional healer 2
0.1%
9 Pharmacist 5
0.4%
10 Priest/sheikh 2
0.1%
11 Mobile clinic 18
1.3%
97 Other (specify) 1
0.1%
Sysmiss 13005
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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