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    Home / Central Data Catalog / IMPACT_EVALUATION / KEN_2012_HSNP-FU2_V01_M / variable [F4]
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
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
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  • Study Description
  • Data Description
  • Documentation
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  • 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

6.05:Nearest educ fclty- other costs (q607)

Data file: 6education

Overview

Valid: 524
Invalid: 448
Type: Discrete
Decimal: 0
Width: 5
Range: 9 - 50000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
9 1
0.1%
15 1
0.1%
50 5
0.5%
98 DK 40
4.1%
99 No Fee 129
13.3%
100 11
1.1%
150 2
0.2%
200 16
1.6%
250 1
0.1%
300 23
2.4%
350 1
0.1%
400 2
0.2%
450 3
0.3%
500 64
6.6%
600 7
0.7%
700 2
0.2%
800 7
0.7%
900 4
0.4%
1000 44
4.5%
1200 4
0.4%
1300 1
0.1%
1500 15
1.5%
1600 2
0.2%
1800 2
0.2%
1850 1
0.1%
2000 39
4%
2300 1
0.1%
2500 4
0.4%
3000 41
4.2%
3100 1
0.1%
3500 1
0.1%
3600 1
0.1%
4000 6
0.6%
4500 5
0.5%
5000 11
1.1%
5200 1
0.1%
6000 4
0.4%
6700 1
0.1%
8000 1
0.1%
8400 1
0.1%
9000 1
0.1%
10000 4
0.4%
12000 3
0.3%
15000 3
0.3%
17000 1
0.1%
20000 1
0.1%
23000 3
0.3%
45000 1
0.1%
50000 1
0.1%
Sysmiss 448
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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