Tab. 42 - Area characterized with dirtiness (2009)CountryAreatotalUrbanKenya Rwanda Uganda Rural slum Urbanvery often 9.7 16.9 4.7 7.3 3.3 20.8 2.8often 16.4 19.9 21.6 12.8 15.0 20.5 8.3sometimes 22.8 12.8 32.2 25.3 20.8 29.9 11.7rarely 29.0 18.2 19.3 38.1 31.0 24.4 35.9never 22.1 32.1 22.2 16.5 29.9 4.4 41.4total 100.0 100.0 100.0 100.0 100.0 100.0 100.0total count 1000 300 166 527 458 364 144Tab. 43 - Area characterized with noises (2009)CountryAreatotalUrbanKenya Rwanda Uganda Rural slum Urbanvery often 8.2 11.1 1.2 8.8 2.8 16.9 3.4often 15.8 16.1 2.3 19.9 5.0 31.6 9.6sometimes 14.2 13.1 3.5 18.2 10.8 19.6 13.7rarely 19.7 14.8 4.1 27.6 19.5 20.7 19.2never 42.2 45.0 89.0 25.5 61.8 11.2 54.1total 100.0 100.0 100.0 100.0 100.0 100.0 100.0total count 1003 302 167 527 458 366 145Tab. 44 - Area characterized with isolation (2009)CountryAreatotalUrbanKenya Rwanda Uganda Rural slum Urbanvery often 2.9 0.3 5.3 3.6 3.9 1.1 3.4Often 2.7 0.3 0 4.9 3.5 2.2 2.1sometimes 4.1 1.0 0 7.1 4.8 3.0 4.8rarely 10.7 2.4 0 18.8 13.7 6.3 13.0never 79.6 95.9 94.7 65.7 74.1 87.4 76.7total 100.0 100.0 100.0 100.0 100.0 100.0 100.0total count 1000 300 166 527 456 365 145Tab. 45 - Area characterized with criminality (2009)CountryAreatotalUrbanKenya Rwanda Uganda Rural slum Urbanvery often 10.1 10.1 1.2 12.9 6.5 13.6 10.3often 14.4 15.4 2.9 17.4 8.7 24.3 7.5sometimes 21.8 21.8 8.1 26.3 19.1 28.3 17.1rarely 22.7 25.5 8.1 25.9 26.0 21.0 17.1never 31.0 27.2 79.7 17.4 39.7 12.8 47.9total 100.0 100.0 100.0 100.0 100.0 100.0 100.0total count 1003 302 167 527 458 366 145Through a combination of the potential sources of discomfort, a Social Risk Index hasbeen generated (see Annex 3 - Box 6) ranging from low to high according to the gravityof the problems characterizing the area. Specifically it assumes the highest values in thepresence of criminality, as it represents not only a threat for the children and theirfamilies’ wellbeing, but can also have a negative influence on the children’ s behavior oreven instigate their involvement in illegal activities.The data collected in 2009 show that almost one fourth of the children (23%) live inareas exhibiting high environmental risk, 16,3% live in areas with middle risk and 60%in areas where there are no relevant elements of risk. Risks are higher in the urbanslums where almost one third of the children live in a risky environment characterizedby the presence of criminality. On the contrary, in the rural areas two thirds of thechildren live in absence of risk (Fig. 28).44
The changes in the SRI during 2006-2009 show some positive trends: in over onefourth of the cases (28,6%) the risks have decreased and in over one third (35%) therisks have remained at low level (Fig. 29)Fig. 27 - Changes in sources of discomfort 2007/09 (%)80,070,066,960,050,040,030,020,042,2 40,330,932,026,9 27,617,016,224,539,436,1Improve dUnchang edWorsened10,00,0dirtiness noises isolation criminalityFig. 28 - Social Risk Index 2009 every area where the child lives (%)80,070,060,050,040,030,020,010,0-75,069,360,042,436,920,723,718,114,9 15,816,36,9Rural Urban slum Urban TotalHigh Risk Middle Risk Low RiskFig. 29– Variation in the Social Risk Index 2006/09 – 9 levels (% on total = 932)stable low34,9very decreased9,0decreased15,5slightly decreased4,2stable middle5,8slightly increased5,9increased5,7very increased11,9stable high7,2- 5,0 10,0 15,0 20,0 25,0 30,0 35,0 40,045
- Page 1 and 2: AVSI OVC ProjectFinal EvaluationChi
- Page 3 and 4: 8.4 Children Profiling for Some Cri
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- Page 53 and 54: present in the schools attended by
- Page 55 and 56: Tab. 60 - Children attendance at sc
- Page 57 and 58: differences, however younger childr
- Page 59 and 60: their performance are 24,2% and tho
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- Page 63 and 64: Fig. 41 - Support provided by AVSI
- Page 65 and 66: 80,0%70,0%60,0%50,0%40,0%30,0%20,0%
- Page 67 and 68: Part 2Outputs of Multivariate Analy
- Page 69 and 70: the data driven indicators have an
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- Page 77 and 78: ural area, and a further 15% with a
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Also a group of guardians have wors
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age of the guardian (6 classes) 36-
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155 Child’s personality shy 19,86
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8.5 The Structural Equation ModelTh
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Guardian’s handicap Ordinal, 3Gua
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the inner model the dependencies (p
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Fig 6 - The estimation of WBSI mode
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with the highest value for WBII is
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Drivers for WBII0,9000,8000,700AICI
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Part 3CONCLUSIONS andRECOMMENDATION
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The research team constructed the s
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variables of interest, that can be
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cases the final CGI score does not
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The high regularity in school atten
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In this direction, interesting find
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Aggregations of these scores accord
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objectives of the OVC program - foo
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AnnexAnnex 1. OVC POPULATION AND SA
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Table. 1.3 - Territorial distributi
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Chart 1 - Children age trend: 2006
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the questionnaire of 2006. In both
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Final Evaluation- March 2009QUESTI
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QUESTI ONS BASED ON THE GUARDI AN
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K.15 The Household’s sources ofno
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K.23 The child’s nutritionCough/r
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nutritional support 1 2 3 9 191recr
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K.31.2A After your have entered in
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K.4 When filling this question refe
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K.27.1K.11.3andK.11.9K.27.1K.4K.11.
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K.4 On AVSI interventions: Since of
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Value assigned to vegetables, fruit
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18005 2 0.2 0.2 50.618050 4 0.3 0.3
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6 4 0.3 0.5 0.5 Very good8 69 5.4 8
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1000000205 1 0.1 0.1 80.3 bad100000
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Distribution Frequency Percent Vali
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2012 32 2.5 3.2 97.62013 4 0.3 0.4
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Missing System 158 12.3total 1281 1