Families in Flats: A Study of Low Income Families in Public Housing.

1980 ◽  
Vol 9 (5) ◽  
pp. 679
Author(s):  
Robert Edward Mitchell ◽  
Riaz Hassan
Keyword(s):  
Public Housing ◽  
Low Income ◽  
Low Income Families

Subsidized Housing With Services to Address Concentrated Disadvantage

2015 ◽  
Vol 50 (2) ◽  
pp. 295-314
Author(s):  
Daniel Brisson
Keyword(s):  
Public Housing ◽  
Social Services ◽  
Low Income ◽  
Subsidized Housing ◽  
Standardized Assessments ◽  
Evidence Based ◽  
Public Administrators ◽  
Concentrated Disadvantage ◽  
Housing Provision ◽  
Low Income Families

The issue of poverty is exacerbated by the concentration of low-income families in neighborhoods of concentrated disadvantage. Public administrators in housing and social services are uniquely situated to address poverty and concentrated disadvantage through an explicit housing with services agenda. This article provides a theoretical and empirical review of issues associated with poverty and concentrated disadvantage from the perspective of subsidized housing provision. The review leads to the recommendation that administrators provide housing with services. The article finishes with an agenda for placing standardized assessments that are connected to evidence-based services within the delivery of public housing.

scholarly journals Subsidized housing and school segregation: Examining the relationship between federally subsidized affordable housing and racial and economic isolation in schools

2020 ◽  
Vol 28 ◽  
pp. 169
Author(s):  
Jennifer Jellison Holme ◽  
Erica Frankenberg ◽  
Joanna Sanchez ◽  
Kendra Taylor ◽  
Sarah De La Garza ◽  
...  
Keyword(s):  
Public Housing ◽  
Affordable Housing ◽  
Low Income ◽  
School Attendance ◽  
Subsidized Housing ◽  
School Segregation ◽  
Racial Isolation ◽  
Housing Developments ◽  
Low Income Families ◽  
The Relationship

Each year, the federal government provides billions of dollars in support for low-income families in their acquisition of housing. In this analysis, we examine how several of these subsidized housing programs, public housing and Low Income Housing Tax Credit (LIHTC) financed housing, relate to patterns of school segregation for children. We use GIS to examine the location of subsidized housing vis-à-vis district boundaries and school attendance boundaries in four Texas counties. We then examine patterns of segregation between schools with and without subsidized housing in their attendance zones, as well as the extent of economic and racial isolation experienced by students in those schools. Our results illustrate that public housing and LIHTC housing developments are zoned to racially and economically isolated schools, and that developments are associated with especially high levels of economic and racial isolation for Black and Latinx students. We conclude by discussing implications for housing and education policy to ameliorate these patterns. 

scholarly journals Developing a Business Case for a Renewable Energy Community in a Public Housing Settlement in Greece—The Case of a Student Housing and Its Challenges, Prospects and Barriers

2021 ◽  
Vol 13 (7) ◽  
pp. 3792
Author(s):  
Pantelis N. Botsaris ◽  
Paraskevi Giourka ◽  
Adamantios Papatsounis ◽  
Paraskevi Dimitriadou ◽  
Nerea Goitia-Zabaleta ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Public Housing ◽  
Low Income ◽  
Business Case ◽  
Case Scenario ◽  
Horizon 2020 ◽  
The North ◽  
North Eastern ◽  
Low Income Families ◽  
Energy Community

Democritus University of Thrace (DUTh) has formed, under the European Project Renaissance (Renewable Integration & Sustainability in Energy Communities, HORIZON 2020, GA 824342), a virtual Renewable Energy Community (REC) in Greece located nearby Kimmeria at the northeast of the city of Xanthi, at the North-eastern Greece. The REC formed is the first energy community designed in a public housing settlement in Greece and its members are: (a) the Democritus University of Thrace, (b) the Municipality of Xanthi and (c) a local industry. DUTh’s main objective is to explore, leverage and mobilize stakeholders to apply schemes for a social group of end users (i.e., students from low-income families) in order to participate in the operation and management of a local renewable energy community, gaining also non-financial benefits. This paper presents the business case scenario and the market players evolving at an Energy Community which includes a public establishment of student residences in Greece.

Demonstrating Nutrient Cost Gradients: A Brooklyn Case Study

2014 ◽  
Vol 84 (5-6) ◽  
pp. 244-251 ◽  
Author(s):  
Robert J. Karp ◽  
Gary Wong ◽  
Marguerite Orsi
Keyword(s):  
Low Income ◽  
Energy Content ◽  
Food Selection ◽  
The United States ◽  
United States Department ◽  
Micronutrient Deficiencies ◽  
Caloric Density ◽  
Low Income Families ◽  
The Cost ◽  
The Impact

Abstract. Introduction: Foods dense in micronutrients are generally more expensive than those with higher energy content. These cost-differentials may put low-income families at risk of diminished micronutrient intake. Objectives: We sought to determine differences in the cost for iron, folate, and choline in foods available for purchase in a low-income community when assessed for energy content and serving size. Methods: Sixty-nine foods listed in the menu plans provided by the United States Department of Agriculture (USDA) for low-income families were considered, in 10 domains. The cost and micronutrient content for-energy and per-serving of these foods were determined for the three micronutrients. Exact Kruskal-Wallis tests were used for comparisons of energy costs; Spearman rho tests for comparisons of micronutrient content. Ninety families were interviewed in a pediatric clinic to assess the impact of food cost on food selection. Results: Significant differences between domains were shown for energy density with both cost-for-energy (p < 0.001) and cost-per-serving (p < 0.05) comparisons. All three micronutrient contents were significantly correlated with cost-for-energy (p < 0.01). Both iron and choline contents were significantly correlated with cost-per-serving (p < 0.05). Of the 90 families, 38 (42 %) worried about food costs; 40 (44 %) had chosen foods of high caloric density in response to that fear, and 29 of 40 families experiencing both worry and making such food selection. Conclusion: Adjustments to USDA meal plans using cost-for-energy analysis showed differentials for both energy and micronutrients. These differentials were reduced using cost-per-serving analysis, but were not eliminated. A substantial proportion of low-income families are vulnerable to micronutrient deficiencies.

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