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
Producer(s)
Oxford Policy Management Limited
Collection(s)
Metadata
Created on
Jan 14, 2014
Last modified
Jan 14, 2014
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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 are the most positive aspects of the Programme? 1st (IMPbcQ02a)
Data file: HHImpact
Overview
Valid:
786
Invalid:
3760
Type:
Discrete
Decimal:
0
Start:
327
End:
328
Width:
2
Range:
1 - 99
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Poor households are being supported (eat more/, increase assets/, pay school fees) | 294 |
37.4%
|
| 2 | Poor households are able to eat more food | 100 |
12.7%
|
| 3 | Poor households are able to eat better quality and larger variety of foods | 99 |
12.6%
|
| 4 | Beneficiaries can borrow more | 43 |
5.5%
|
| 5 | Beneficiaries can receive money without working for it | 44 |
5.6%
|
| 6 | Improves cash flow in the household | 59 |
7.5%
|
| 7 | Receiving the goody bag | 3 |
0.4%
|
| 8 | More products available in local shops | 1 |
0.1%
|
| 9 | Support in case of drought | 102 |
13%
|
| 10 | Beneficiary households are sharing money | 2 |
0.3%
|
| 11 | New shop(s) available locally | 4 |
0.5%
|
| 12 | Other people are not asking me for food/cash any more | 0 |
0%
|
| 97 | Other (specify) | 0 |
0%
|
| 98 | Don't know | 16 |
2%
|
| 99 | No positive aspects | 19 |
2.4%
|
| Sysmiss | 3760 |
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.