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    Home / Central Data Catalog / IMPACT_EVALUATION / KEN_2012_HSNP-FU2_V01_M / variable [F19]
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
165819
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  • Study Description
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  • 3moves
  • 3table
  • 5table
  • 6education
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  • 6personnel
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  • 7food1
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  • 7other1
  • comq_linking_FU2
  • comq_weights
  • coversheet
  • section3
  • section4
  • section5
  • section8
  • section9
  • section10
  • section11
  • section99
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  • hh_weights_original

9.022:its 2nd main effect (q9022)

Data file: section9

Overview

Valid: 528
Invalid: 1740
Type: Discrete
Decimal: 0
Start: 115
End: 116
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Loss of community members - leaving 20
3.8%
2 Loss of community members - death 31
5.9%
3 Illness/injury of community members 30
5.7%
4 Loss of community members' animals 45
8.5%
5 Loss of access to land, water or other natural resources fo 6
1.1%
6 Loss of other productive community assets (water pump, acce 3
0.6%
7 Loss of access to jobs for community members 15
2.8%
8 Less income from animal husbandry, fishing or farming - low 86
16.3%
9 Less income from animal husbandry, fishing or farming - hig 28
5.3%
10 Less income from other household business 8
1.5%
11 Loss of aid (e.g. NGO programme withdrawing) 3
0.6%
12 Increased number of dependents in the community 65
12.3%
13 Large expenditures due to ill health or death of community 5
0.9%
14 Large expenditures on social obligations 24
4.5%
15 Increased cost of food 49
9.3%
16 Increased cost of fuels, transport or other necessities 46
8.7%
97 Other (specify) 6
1.1%
99 N/A 58
11%
Sysmiss 1740
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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