Poverty Sample Clauses

Poverty. Where appropriate, an integrated approach to addressing the specific needs of geographical areas most affected by poverty or of target groups at highest risk of discrimination or social exclusion, with special regard to marginalised communities, persons with disabilities, the long term unemployed and young people not in employment, education or training (Article 15 (2) (a) (iii) CPR) Approach
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Poverty. No. of beneficiaries (000.000) 12 % beneficiaries who are women 40 % beneficiaries who are poor 65 No. of primary school rehabilitated 700
Poverty. No. of beneficiaries (000.000) 15 10 9 % beneficiaries who are women 35 40 40 % beneficiaries who are poor 65 65 65 No. of primary school rehabilitated 150 150 150 SUSENAS findings on poverty impacts Pos. impact
Poverty. Xxxxxx and Xxxxx (2018) found that among children under the age of 18, 41% lived in low-income families, and 19% in poverty. Approximately 21% of Mexican immigrant families lived in poverty than 9% for those whose members were born in the US (Zong & Batalova, 2018). The median income of Mexican immigrant households in 2017 was $44,700 compared to $56,700 for immigrants of other nations (Zong & Batalova). Living in poverty was regarded among the strongest predictors of school dropout, regardless of gender or ethnicity. Students of low socioeconomic means had a 7.2% dropout rate compared to 3.6% of students from middle-income families, and 3.9% of those in the highest income brackets (XxXxxxxxx, et al., 2019). The literature emphasized that a child's social class was a significant predictor of success in school. A strong connection existed between living in poverty and dropping out of school (Xxxxxx & Xxxxx 2017; Xxxxxx & Xxxxxx 2003). Their view was supported by Xxxxx and Xxxxx (2010), who also identified living in poverty as a significant predictor of a cohort's graduation rate. The Organization for Economic Cooperation and Development (2012) concurred that poverty was a contributing factor to Latino males scoring lower on reading exams. Xxxxx and Xxxxx (2010) noted that districts with a high number of students on free or reduced lunch tended to have lower cohort graduation rates.
Poverty. Xxxxxxxx, Xxxxxx. 1986. Poverty in the Soviet Union: The Life-Styles of the Underprivileged in Recent Years. Cambridge: Cambridge University Press.
Poverty. All schools are already ranked in terms of poverty criteria and divided into quantiles, quantile 1 being the 20% poorest school and quantile 2 the next poorest 20%(quintile 1 to 3).
Poverty though the public sector are gap funding the installation of the broadband network, there will still be costs of connections and monthly internet charges payable by residents.
Poverty. 10.1 Poverty is a lack of income (or material possessions) to such a level that it is not considered acceptable by society. Officially a household is considered to be in poverty if its income (after taxes and housing costs) is less than 60% of the average (median) income nationally. In 2007-08 (the latest date for which local authority estimates are available) this was equal to £199 per week for a couple with no children. In the same year an estimated 19% of households (14,500 households) in Herefordshire had income below this level9.
Poverty. Poverty is highly associated with poor health outcomes, especially for women and children. Poverty is most common in families headed by single females, and single-female headed households with children are more likely than other families to be living below poverty regardless of race or ethnicity (Figure 4). This is true regardless of race or ethnicity. According to the 2009 Current Population Survey, during 2008, 38.9% of the people in female- headed households with children lived below the poverty level in NYS. For a female-headed household with two children, the Federal Poverty Level would be an income of $17,285 or less per year. Even at 200% of the poverty level, which includes 66% of female–headed families, the income level would be no more than $34,570. In 2008, 881,000 of New York’s children (21.3%) were living below poverty. This is slightly higher than the nation as a whole (19%).
Poverty. The fact that mothers’ feeding behaviors are affected by poverty may seem straightforward, but this finding has significant effects on the ability of mothers to apply infant and young child feeding knowledge. Feeding practices are “mediated by knowledge as well as by resource availability” [43]. The data from this study confirms that mothers of low socioeconomic status, living in remote rural areas with inadequate resources, may be unable to apply acquired nutritional knowledge and skill [43]. The relationship between poverty and malnutrition is well established [82, 83]. It is also widely known that dietary diversity scores increase with income and wealth [57]. Research suggests that increased dietary diversity scores have a positive effect on nutritional outcomes, independent of socioeconomic status [57]. In regards to the effects of poverty on infant and young child feeding practices, there are some potential solutions. In contexts where dietary diversity score improvement is limited by financial constraints, income transfers to the poor have been an effective intervention strategy [53]. While conditional cash transfers are controversial, they have proven to be very effective in inciting behavior change [84]. Admittedly, this strategy is often reliant on donor funding and lacks sustainability. A viable option for the program is the linkage of mothers to Village Banking Groups (VBG). Connecting mothers with these groups could result in higher incomes. Additionally, developing relationships with organizations that offer trainings on income generating activities could be effective. The stunting prevention program could use a collective impact model and be the backbone organization that coordinates trainings for the beneficiary mothers; trainings could cover: small-scale livestock, homestead gardening, fish farming and business [85].