|
|
|
|
Mapping Educational Inequality: Concentrations of Poverty among Poor and Minority Students in Public Schools |
|
| Abstract | Word Stems | Keywords | Association | Citation | Get this Document | Similar Titles |
|
STOP! You can now view the document associated with this citation by clicking on the "View Document as HTML" link below. |
|
Click here to view the document
|
Abstract:
|
To understand the processes that lead to high concentrations of poverty in public schools for poor and minority students, we compare levels of economic segregation in schools and in their corresponding attendance boundaries. To do this, we use geographic interpolation methods to assign poverty rates from 2000 census geography to maps of school attendance boundaries in the largest 21 school districts in the U.S. We then link poverty rates in school attendance boundaries with the Common Core of Data, which counts the number of poor children in each public school. Findings show that the percentage of poor children in traditional, neighborhood-based public schools is much greater than in their corresponding catchment areas. The racial composition of a school attendance boundaries also play a substantial role in determining the economic composition of schools. The difference between poverty rates in schools and in their corresponding catchment areas is much larger if the majority of children in a school are minorities than if they are white. These patterns have two important consequences: first, poor children are much more concentrated in schools with higher poverty rates than they would be if all children attended their local public schools. Second, black and Hispanic children attend schools with drastically higher poverty rates than that which exists in their residential areas. |
Most Common Document Word Stems:
school (255), children (151), poverti (138), attend (123), poor (111), student (103), percent (93), boundari (81), rate (72), neighborhood (63), white (60), racial (60), area (56), public (50), privat (48), segreg (43), higher (43), data (42), district (41), choic (40), econom (39), |
|
|
 | Convention | | Convention is an application service for managing large or small academic conferences, annual meetings, and other types of events! |  | Submission - Custom fields, multiple submission types, tracks, audio visual, multiple upload formats, automatic conversion to pdf. |  | Review - Peer Review, Bulk reviewer assignment, bulk emails, ranking, z-score statistics, and multiple worksheets! |  | Reports - Many standard and custom reports generated while you wait. Print programs with participant indexes, event grids, and more! |  | Scheduling - Flexible and convenient grid scheduling within rooms and buildings. Conflict checking and advanced filtering. |  | Communication - Bulk email tools to help your administrators send reminders and responses. Use form letters, a message center, and much more! |  | Management - Search tools, duplicate people management, editing tools, submission transfers, many tools to manage a variety of conference management headaches! | | Click here for more information. |
|
|
Association:
Name: American Sociological Association URL: http://www.asanet.org
|
Citation:
|
MLA Citation:
| Sohoni, Deenesh. "Mapping Educational Inequality: Concentrations of Poverty among Poor and Minority Students in Public Schools" Paper presented at the annual meeting of the American Sociological Association, Montreal Convention Center, Montreal, Quebec, Canada, Aug 11, 2006 <Not Available>. 2009-05-25 <http://www.allacademic.com/meta/p105244_index.html> |
APA Citation:
| Sohoni, D. , 2006-08-11 "Mapping Educational Inequality: Concentrations of Poverty among Poor and Minority Students in Public Schools" Paper presented at the annual meeting of the American Sociological Association, Montreal Convention Center, Montreal, Quebec, Canada Online <PDF>. 2009-05-25 from http://www.allacademic.com/meta/p105244_index.html |
Publication Type: Conference Paper/Unpublished Manuscript Abstract: To understand the processes that lead to high concentrations of poverty in public schools for poor and minority students, we compare levels of economic segregation in schools and in their corresponding attendance boundaries. To do this, we use geographic interpolation methods to assign poverty rates from 2000 census geography to maps of school attendance boundaries in the largest 21 school districts in the U.S. We then link poverty rates in school attendance boundaries with the Common Core of Data, which counts the number of poor children in each public school. Findings show that the percentage of poor children in traditional, neighborhood-based public schools is much greater than in their corresponding catchment areas. The racial composition of a school attendance boundaries also play a substantial role in determining the economic composition of schools. The difference between poverty rates in schools and in their corresponding catchment areas is much larger if the majority of children in a school are minorities than if they are white. These patterns have two important consequences: first, poor children are much more concentrated in schools with higher poverty rates than they would be if all children attended their local public schools. Second, black and Hispanic children attend schools with drastically higher poverty rates than that which exists in their residential areas. |
Get this Document:
Find this citation or document at one or all of these locations below. The links below may have the citation or the entire document for free or you may purchase access to the document. Clicking on these links will change the site you're on and empty your shopping cart.
| Document Type: |
PDF |
| Page count: |
37 |
| Word count: |
10838 |
| Text sample: |
| Mapping Educational Inequality: Concentrations of Poverty among Poor and Minority Students in Public Schools Salvatore Saporito and Deenesh Sohoni Department of Sociology The College of William and Mary Williamsburg VA 23187-8795 December 2nd 2005 *Acknowledgments This research was supported by a National Academy of Education/Spencer Foundation Postdoctoral Fellowship and also by the American Educational Research Association which receives funds for its “AERA Grants Program” from the NSF (under Grant #REC- 0310268) and the U.S. Department of Education’s National Center |
| 1.200 -.009 -1.070 1.201 -.007 Charter* -.945 1.610 -.004 -1.064 1.607 -.005 # Pct. Enrolled in Private School .386 .021 .177 .374 .021 .172 Pct. Limited English Proficiency .140 .071 .027 Pct. Foreign Born .062 .020 .041 Constant 74.809 .370 83.132 2.235 77.978 2.127 71.950 2.626 Adjusted R2 .706 .772 .797 .797 |
Similar Titles:
School District Fragmentation and Racial Residential Segregation: How do Boundaries Matter?
Racial Segregation in Public and Private Schools: a Nationwide Empirical Evaluation
|
|