THE STATE EDUCATION DEPARTMENT / THE UNIVERSITY OF THE STATE OF NEW YORK / ALBANY, NY 12234


James A. Kadamus, Deputy Commissioner

Office for Elementary, Middle, Secondary and Continuing Education

Room 875 EBA (518) 474-5915

January 2003

TO: District Superintendents

Superintendents of Schools

New York City Board of Education

School Board Presidents

New York State Educational Associations

School Business Officials

New York State Teacher Centers

Teacher Educators

Other Interested Persons

FROM: James A. Kadamus

SUBJECT: Regents 2003-04 Proposal on State Aid to School Districts:

Improving the Formulas to Help Students Meet State Learning Standards

Attached for your information is the Regents proposal on State Aid to school districts for school year 2003-04. The Regents approved it on December 13, 2002. This proposal represents a significant departure from the current formula. It simplifies and improves the functioning of the aid system while increasing the link between State Aid and student achievement in difficult economic times. It provides for an increase of $516 million, 3.5 percent, over school year 2002-03. For quick reference to the proposal, I refer you to the table of contents on page 6.

The proposal:

 

 

Exhibit A provides a breakdown of the dollar amounts requested. The proposal recommends an increase of $516 million over the prior year. Exhibits B and C illustrate the impact of the proposal on school districts, grouped for high need school districts compared with all others and by need-resource capacity category. The proposal allocates 76 percent of the proposed increase to high need school districts. A technical supplement (Appendix C) provides a more detailed explanation of the elements of the State Aid proposal.

Exhibit A

2003-04 New York State Aid Proposal

(all figures in millions)

Program

2002-03

Regents Proposal

Change from Base

Comprehensive Operating Aid

$7,251

$7,459

$208

Operating Aid

$6,815

$7,864

$1,049

Tax Effort Aid

$0

$0

$0

Tax Equalization Aid

$0

$0

$0

Tax Limitation Aid

$25

$0

($25)

Operating Standards Aid

$221

$0

($221)

Gifted and Talented Aid

$14

$0

($14)

Minor Maintenance and Repair Aid

$50

$0

($50)

Improving Pupil Performance Grants

$66

$0

($66)

Transition Adjustment

$60

($405)

($465)

Gap Aid Subtotal

$1,175

$1,318

$143

Gap Aid

$0

$1,318

$1,318

Extraordinary Needs Aid

$725

$0

($725)

Summer School Aid

$44

$0

($44)

Limited English Proficiency Aid

$71

$0

($71)

Universal PreKindergarten

$201

$0

($201)

Early Grade Class Size Reduction

$134

$0

($134)

Aids for Support of Students with Disabilities

$2,353

$2,410

$57

Public Excess Cost Aid

$2,118

$2,148

$30

Private Excess Cost Aid

$161

$172

$11

Educationally Related Support Svcs.

$74

$90

$16

BOCES/Career and Technical Education

$624

$695

$71

BOCES Aid

$497

$497

$0

Special Services - Computer Admin.

$39

$46

$7

Special Services - Career Education

$88

$152

$64

Instructional Materials Aid Subtotal

$255

$266

$11

Textbook Aid

$190

$0

($190)

Computer Software Aid

$46

$0

($46)

Library Materials Aid

$19

$0

($19)

Instructional Materials Aid

$0

$266

$266

Additional Computerized Aids

$2,427

$2,497

$70

Computer Hardware Aid

$28

$42

$14

Operating Growth Aid

$31

$12

($19)

Transportation Aid

$992

$1,134

$142

Summer Transportation Aid

$5

$12

$7

Building Aid

$1,145

$1,099

($46)

Building Reorganization Incentive Aid

$15

$1

($14)

Operating Reorg. Incentive Aid

$20

$21

$1

Full Day Kindergarten Conversion Aid

$17

$8

($9)

Small City Aid

$82

$76

($6)

Teacher Support Aid

$67

$67

$0

Academic Support Aid

$25

$25

$0

Computerized Aids Subtotal

$14,085

$14,645

$560

All Other Aids

$460

$416

($44)

Total General Support for Public Schools

$14,545

$15,061

$516

Exhibit B shows the proposed distribution of the aid increase to high need school districts and all others in contrast to the 2002-03 enacted increase. The Regents recommend that 76 percent of the increase in computerized aids for 2003-04 go to high need school districts, in contrast to the 68 percent that was allocated for school year 2002-Exhibit C shows the proposed distribution of the computerized aid per enrolled pupil for school districts grouped by student need and fiscal capacity. The Regents proposal recommends virtually no change for low-need districts and an aid increase for all other groups of districts.

 

 

 

The New York State Board of Regents

 

 

State Aid and

Improving Student Achievement

In Difficult Times

 

Proposal on

State Aid to School Districts

For School Year 2003-04

 

 

Table of Contents

Cover memo and executive summary 1

State Aid and improving student achievement in difficult times 5

Table of contents 6

List of exhibits 6

List of tables 6

List of figures 7

Conceptual proposal 8

Introduction 8

Regents goal 8

The resource and achievement gap 9

Regents State Aid principles 19

Recommendations 19

Support for the basic educational program 19

Supplemental aids for at-risk youth 19

Career and technical education 20

Instructional materials aid 20

School library support 21

Accountability 21

Ensure maintenance of local effort for education 22

Reduce local costs for school construction through mandate relief 22

No Child Left Behind Act and State Aid 22

References 24

Appendix A: Need Resource Capacity Category Definitions 26

Appendix B: Schedule of Reports and Topics 27

Appendix C: Technical Supplement 28

Formula components 28

Regional cost adjustment 33

Regional cost index: Counties in labor force regions 35

High need school districts 36

List of Exhibits

A. 2003-04 New York State Aid Proposal 3

B. Computerized state aid increases. How they are distributed 4

C. Distribution of computerized aid per enrolled pupil 4

List of Tables

1. The resource and achievement gap 9

2. Policy directions for Regents state aid proposal 18

 

 

 

 

List of Figures

  1. Free lunch percent and 4th grade ELA mean score by need resource category 10
  2. The percentage of students in high need school districts 10
  3. After adjusting for pupil need and regional cost, the higher the school
  4. district spending, the greater the pupil achievement 11

  5. The greater the need, the lower the expenditure per pupil 12
  6. Students in poverty are students at risk of not graduating 13
  7. Fiscal capacity of groups of school districts 13
  8. Tax levy by need resource capacity category 14
  9. Uncertified teachers for schools grouped according to the
  10. percent of minority students 15

  11. The percent of uncertified teachers 15
  12. Teacher turnover by need/resource capacity category 16
  13. Cost adjusted teacher salaries by need/resource capacity category 16
  14. Local share as a percent of total expenditures for career and technical programs 17
  15. Professional cost index for New York State by labor force region 18

 

 

 

 

Regents 2003-04 State Aid Proposal

Conceptual Proposal

Introduction

As the movement towards higher standards for all students evolves, many successes are apparent. Performance on the grade 4 English Language Arts and mathematics examinations continues to be strong. Performance on the Grade 8 English Language Arts and mathematics examinations, while initially weaker, is showing signs of improvement, most noticeably a reduction in the number of students scoring at Level 1 while maintaining numbers of students at Levels 3 and 4. At the high school level, 89 percent of the 1997 cohort of high school students passed the Regents English exam; 87 percent passed the Regents mathematics exam. Students with disabilities have showed a steady increase in Regents test taking and passing: 65.5 percent passed English and 50 percent passed mathematics. These successes are happening all over the State, in poorer districts and wealthier districts, and with all groups of students.

Despite the many successes, a troubling resource and achievement gap persists. Students attending schools that have a high percentage of student poverty and limited local resources have a dual problem. First, they tend to have fewer resources. This is especially true in areas where high regional costs mean that a dollar for education buys fewer goods and services than in less costly areas of the State. Second, students attending such high need school districts consistently achieve at lower levels than students at schools with more affluent and less needy peers. These students are more likely to need extra instructional time, tutoring, and assistance from social service agencies, yet are less likely to receive those services.

If the move to higher standards is to be successful, it must facilitate success by all students regardless of the school they attend, family background, and educational needs. We must have the will to align our State resources to provide the financial support for all students to be successful. This Regents proposal moves our State a positive step in this direction.

Regents Goal

The Regents goal is to educate all of New York State’s children to the level of the State’s learning standards. To this end, the Regents have focussed on closing the gap between actual student achievement and that needed for all students to meet State learning standards. The Regents proposal on State Aid to school districts for school year 2003-04 is in the fourth year of a five-year proposal. It builds on previous years’ efforts to improve the distribution of funding to close the achievement gap.

 

 

The Resource and Achievement Gap

Many factors contribute to the existence of a resource and achievement gap in New York State (see Table 1). These relationships result from the complex interactions of student poverty, achievement, school spending, and school funding.

Table 1. The Resource and Achievement Gap

  • The concentration of student poverty is associated with many educational needs.
  • There is a large number of students in New York State’s schools who have yet to meet State learning standards.
  • Districts with needier students tend to spend less.
  • Limited school district ability and willingness to raise local revenues results in limited educational offerings.
  • Less qualified teachers affect learning.
  • There is uneven support for career and technical education programs as a path to a high school diploma.
  • The cost of doing business varies around the State.
  • The balance of this section examines data illustrating these relationships by illuminating the resource and achievement gap.

    The relationship between poverty and educational achievement is well established. As student poverty in a school increases, academic performance declines. This is illustrated in Figure 1 in which all New York State school districts are grouped by need-resource capacity category. The figure shows free lunch eligibility and grade 4 English language arts performance for each category. New York City and the large cities (Rochester, Buffalo, Syracuse and Yonkers) have the

    highest poverty and among the worst achievement. As poverty declines, achievement improves.

    The relationship between poverty and academic achievement is pervasive. It has been documented by numerous studies over four decades. This relationship is a critical policy concern because it affects large numbers of students. Figure 2 shows that a full 57 percent of the State’s students are enrolled in high need school districts. This is approximately 1,571,320 students. While not all of these students come from poverty backgrounds, many of them do, and numerous research studies have illustrated the negative impact of the concentration of student poverty on the achievement of all students, regardless of their individual poverty status.

    These numbers suggest that, in order to meet higher learning standards, New York State must be concerned about: what affects the achievement of students in schools with concentrations of student poverty; the resources that high need school districts have to support their educational program; and the effectiveness with which school districts use their resources. It suggests that the successful education of so large a group will have a significant impact on the economic vitality of the State by producing workers who can function in a competitive, international market and by reducing the costs of social services and criminal justice.

    That poverty affects student achievement is well known. What is less well known are the successes of schools in educating students from poverty backgrounds to high standards. While the debate on "does money matter?" still exists, it is now being recast by some as "making money matter" (emphasis

    added). Money matters and how it is used makes a difference as well. Using New York State school data, we examined the relationship between school district spending and student achievement as measured by grade 4 English Language Arts test performance (see Figure 3). Spending data are adjusted in

     

    two ways. First, dollars spent are adjusted by the Regents Regional Cost Index to reflect comparable purchasing power from one region of the State to another. Second, spending per pupil is further adjusted by providing an additional weighting for pupils from poverty backgrounds to reflect the additional services that such pupils require. The resulting cost and need-adjusted expenditures per pupil show a trend: the more the school district spends, the greater the pupil achievement.

    Figure 3 shows that a distinct relationship exists between spending, student risk, and academic performance. These relationships exist even when different data are used. That is, the emphasis on need and cost is supported by data from New York schools.

    Examining the relationship between school spending and student poverty is also illuminating. Poverty is often used as a proxy or substitute measure for educational need. This is because of the high correlation between poverty and student achievement and because of the desire to use a measure that is not affected by the varying academic successes of school districts. As a result, poverty rather than achievement may be used as a proxy for educational need in aid formulas, because of the interest in providing incentives for school districts to improve student achievement.

    Figure 4 shows that as educational need decreases, need and cost adjusted instructional expenditures per pupil increase. Need and academic performance are virtual mirror images of each other.

    Figure 5 shows that educational need is high, especially in the New York City School District where more than three out of four students are at risk of not graduating from high school. In the Large City school districts more than two-thirds of the high school students face a similar risk. In some instances this need has increased in recent years. This represents a serious policy concern for New Yorkers.

    While the previous graphs looked at educational risk and the demand placed on school districts, the following charts examine school district fiscal capacity. Fiscal capacity refers to the ability of school districts to raise revenues locally. It is often assessed by a measure that represents an equal mix of property wealth per pupil and income per pupil in the district, known as the Combined Wealth Ratio. The ability of school districts to pay for education varies dramatically around the State. Since more than half of school revenue comes from local sources, these capacity differences can amount to big differences in educational programs available to students (see Figure 6).

     

    We examined revenues raised and tax rates for different groups of school districts. Figure 7 shows the average dollars raised per pupil for each category of school district (tax levy per pupil displayed by the bars) and tax levy per $1,000 of actual property value (expressed as a tax rate and shown with the line). Average and low need districts collect more local revenue per pupil while taxing at a comparable rate to the Big Five districts. Overall, the rural high need districts have some of the State's lowest tax rates and lowest local revenue per pupil. Further analysis of school district local effort shows that districts with higher student poverty and limited fiscal capacity are more likely to have a local effort problem. From those findings, the Regents acknowledge local effort as a significant element in closing the achievement gap.

    Recent research in Texas has documented the considerable impact of teachers on student achievement. What constitutes a quality teacher is hard to define in terms of commonly available data such as educational level, years of experience or certification status. In fact, the positive effect of having a quality teacher for three years in a row was equal to the decline in achievement students suffered from economic disadvantage.

    Examination of New York State data reveals the following. Schools with the largest percentage of minority students have the largest percentage of teachers without appropriate certification (Figure 8). Looking at the percent of uncertified teachers by need-resource capacity category shows that more than one in four teachers teach without appropriate certification in New York City (Figure 9). In school districts outside the Big Five, the rate is one in 25.

    While having a certificate in the subject area one teaches may not explain why some teachers have a greater impact on student achievement than others, the lack of appropriate certification is found in districts where overall student achievement is among the lowest.

    Figure 10 shows that teacher turnover has increased in all parts of the State, further contributing to the challenge of closing the achievement gap. It is at the highest levels in New York City.

    We examined teacher salaries by applying a cost index so as to make salaries comparable across regions of the State. Figure 11 shows that cost-adjusted teacher salaries are low in New York City compared to the rest of the State.

    Quality career and technical education programs provide students with an alternative path to a high school diploma. Often such programs provide practical, hands-on learning experiences that create an alternative way of developing high level reading and computational skills. Alternative pathways to a high school diploma that maintain high academic standards may hold promise for many students who were in the past lost in the traditional program. Examination of aid formulas to support career and technical education programs around the State reveals a higher level of reimbursement for programs in BOCES provided to school districts outside the Big Five city school districts than in the Big Five. Conversely, the local share that the Big Five city school districts must exert to support CTE programs is greater (see Figure 12). With the considerable need for such programs in the Big Five, a similar level of reimbursement is important to provide a fiscal incentive for these programs.

    The ability of school districts to meet student needs is affected by the cost of doing business in the region in which the district is located. Figure 13 shows that costs are about 52 percent higher in the New York City-Long Island region than in the North Country. New York State legislative commissions and blue-ribbon panels have noted this phenomenon and recommended that State Aid be adjusted to compensate for these cost differences. The State Aid dollar should purchase the same amount of goods and services around the State.

     

    Figure 13

    Professional Cost Index for New York State

    by Labor Force Region

    Labor Force Region

    Index Value

    Purchasing Power of $1,000 by Region

    Capital Distict

    1.250

    $800

    Southern Tier

    1,152

    $868

    Western New York

    1.155

    $866

    Hudson Valley

    1.475

    $678

    Long Island/NYC

    1.515

    $660

    Finger Lakes

    1.244

    $804

    Central New York

    1.218

    $821

    Mohawk Valley

    1.084

    $923

    North Country

    1.000

    $1,000

    In conclusion, the additional needs of schools educating concentrations of students from poverty backgrounds are well supported. Yet school districts with concentrated poverty tend to spend less. They have limited capacity to raise revenues locally, raise fewer local revenues per pupil, lack certified teachers, have greater teacher turnover, and, in the case of New York City, have lower cost-adjusted teacher salaries. Aid formulas are less beneficial for the State’s largest cities in supporting career and technical education as an alternative path to a high school diploma and in not recognizing regional cost differences in aid provided for school operation. These data lead us to the policy directions noted in Table 2.

    Table 2. Policy Directions for Regents State Aid Proposal

    • Focus on funding for high need school districts to close the achievement gap.
  • Strengthen student needs as a major State Aid factor.
  • Keep fiscal capacity as a major State Aid factor.
  • Treat local effort as a key policy concern, especially for high need school districts.
  • Treat recruitment and retention of teachers as a key policy concern.
  • Provide similar fiscal incentives for career and technical education programs around the State.
  • Provide State Aid in a manner that recognizes the cost of doing business.
  •  

    Regents State Aid Principles

    Principles for this year’s proposal are:

     

    Recommendations

    Support for the Basic Educational Program

    The State provides support for basic school operation and maintenance with Operating Aid and other aids. All aids for this purpose should be consolidated and distributed in a manner that compensates for school district ability to pay. The Regents recommend adjusting a Consolidated Operating Aid for differences in school district fiscal capacity and regional cost. Regardless of where a child lives, he or she should receive a level of support needed to provide for an acceptable level of educational attainment. To the extent that State Aid equalizes for different school district circumstances, it will also serve as an incentive for districts with little fiscal capacity and high costs to maintain effort for their educational programs. Although other purposes and aids are important to closing the student achievement gap, Operating Aid is the basic building block to support schools’ educational programs. It must work effectively by adequately compensating for local needs. This will provide greater equity and transparency in funding.

     

    Supplemental Aids for At-Risk Youth

    Many students need additional instructional time at some point in their education. Students from poverty backgrounds or with limited English proficiency may have greater need for additional instruction to meet the same learning standards as their more economically advantaged peers. Research studies15 have documented the positive impact that a variety of ‘extra time’ educational programs have on the achievement of educationally disadvantaged students. Additional instruction can come in the form of before and after-school programs, programs for speakers of languages other than English, pre-kindergarten programs, and academic intervention services of an instructional and support service nature. Resources should be provided to assist in supporting the costs of additional learning time needed to implement school improvement plans and to improve the recruitment and retention of qualified teachers and principals. Such aid should be responsive to different levels of pupil needs in districts.

    The Regents State Aid proposal should:

    Recommendations in this area will provide greater equity in funding. To the extent that aid streams are consolidated and formula components are simplified, greater transparency will also be accomplished.

     

    Career and Technical Education (CTE)

    A range of programs has for decades provided students with additional pathways to high school graduation. The prevailing philosophy for these pathways is that a single approach does not meet the needs of all learners. Career and technical education is one such pathway that has proven successful in motivating many students to high levels of academic success. Students in these programs benefit from instruction that they perceive as helping them prepare for the labor market, and therefore more readily accept the relevance of the academic content. Higher standards are achieved by focusing on practical tasks that often involve doing rather than mastery of academic concepts presented in isolation from the practical world. The Regents recommend that State Aid should:

     

    Instructional Materials Aid

    This aid would provide more flexibility to help school districts meet expenditures for textbooks, computer software, library materials and on-line services. It would provide flexibility in funding to assist school districts in their different stages of moving to instructional materials and services in electronic format. Although this aid is consolidated, schools need a well-equipped library to support students’ achievement of the Regents learning standards. Therefore, it is critical that school districts use a portion of the consolidated funds (Textbook, Computer Software and Library Materials Aids) to purchase school library media program resources.

     

    School Library Support

    The consolidated Instructional Materials Aid would complement a proposed Public School Library Support Aid, advanced as a separate budget proposal by the New York State Education Department. This proposal is intended to respond to the needs of public school students in school districts with concentrations of student poverty for access to library materials and services provided by qualified staff.

     

    Accountability

    In May 2000, the Board of Regents adopted Commissioner’s Regulations to implement a System of Accountability for Student Success (SASS), which expanded upon the Education Department’s previous program of registration review for the lowest performing schools. SASS aligned accountability for schools with the accountability required for students. It established adequate yearly targets for all schools not meeting the standards, not just the worst performing schools, and it further integrated State and federal accountability programs. SASS established a mechanism by which schools could be determined to be in need of improvement or making rapid progress based upon performance trends over time. SASS anticipated many of the new accountability features of the federal No Child Left Behind legislation and will be the basis of the single statewide accountability system that No Child Left Behind requires all states to implement.

    School accountability is a way to account for the State’s investment in education. The System of Accountability for Student Success:

    These accountability requirements for schools help to provide individual school and statewide measures of student achievement and to motivate additional progress in closing the gap between actual student achievement and that needed to meet State learning standards.

    Ensure Maintenance of Local Effort for Education

    The failure of school districts to either maintain local tax effort or to respond to State Aid increases by lowering tax rates has been a concern of the Regents. Despite fiscal incentives, maintenance of local effort can be a formidable challenge to some school districts. In New York State, a district’s capacity to achieve a given spending level involves a state and local partnership. Any diminution of local tax effort in high need school districts, particularly if local tax effort is "inadequate" to begin with, poses a significant policy concern. Since local effort tends to be a greater problem for school districts with high pupil need and limited fiscal capacity, every effort must continue to be made to ensure that State Aid to school districts is reflective of school district fiscal capacity, pupil needs and costs.

    State Aid formulas that recognize variations in wealth and provide incentives for low wealth districts to make greater tax effort can be effective in reducing the number of low taxing districts. In addition, the local effort requirement in place for the New York City School District should be improved and extended to the large four city school districts of Rochester, Syracuse, Buffalo and Yonkers.

     

    Reduce Local Costs for School Construction through Mandate Relief

    State Law, known as the Wicks Law, requires school districts to employ four separate contractors for projects of $50,000 or more. For all but the largest of projects, a general contractor can effectively manage these separate functions. Although estimates vary, this change is expected to result in considerable savings in building costs for school districts.

    The State should encourage the reduction of local costs by exempting school districts from the Wicks Law, thereby allowing a single general contractor for school construction projects in excess of $50,000, rather than four separate contractors as currently required.

     

    No Child Left Behind Act and State Aid

    The federal No Child Left Behind Act supports and complements the Regents higher standards reform agenda. Key aspects of the Act are also fundamental to the Regents agenda. These include setting high standards, statewide testing and publication of results, setting adequate yearly progress targets for schools not meeting the standards, consequences to ensure that students have access to quality education in a safe and supportive environment, and the notion that no child will be left behind. While the federal law will provide New York State schools with some additional resources, these will be subject to "supplement, not supplant" requirements. That is, the new resources may not be used to support existing initiatives but must add to them. The federal resources and requirements will help the Regents in their efforts to close the student achievement gap, but do not diminish the task or the demand on State resources appreciably.

    References

    Arnot, Richard and James Rowse (1987), "Peer Group Effects and Educational Attainment", Journal of Public Economics 32, pp. 287-305.

    Berryman, S.E., Flaxman, E. and Inger, M. (1999), "Integrating Academic and Vocational Education: An Equitable Way to Prepare Middle Level Students For The Future." Eric Clearinghouse on Urban Education: Digest 83.

    Evans, William N., Wallace E. Oates, and Robert M. Schwab (1992), "Measuring Peer Group Effects: A Study Of Teenage Behavior," Journal of Political Economy 100(5), pp. 991-996.

    Fleischmann, Manly (Chairman) (1972). "Report of the New York State Commission on the Quality, Cost and Financing of Elementary and Secondary Education," Volumes 1, 2 and 3.

    Glasheen, R. "Towards an Understanding of the Relationships among Student Need, Expenditures and Academic Performance." New York State Education Department Report to the Board of Regents, September 2002.

    Grubb, W.W., Davis, G., Lurn, J.; Plihal, J., and Morgan, C. (1991), "The cunning hand, the cultured mind: Models for integrating academic and vocational education." Berkeley: University of California, Berkeley, National Center for Research in Vocational Education.

    Grubb, W.W; & Stasz, C. (1991) Assessing the integration of academic vocational education. Berkeley: University of California, Berkeley, National Center for Research in Vocational Education.

    Hanushek, E. (1966), "School Resources and Student Performance" in G. Burtless, ed. Does Money Matter? The Brookings Institution: Washington, D.C. pp. 43-73.

    Hanushek, E. (1998), "The Evidence on Class Size" Working Paper, pp. 1-40.

    Henderson, Vernon, Peter Mieszkowski and Yve Sauvageau (1978), Peer Group Effects and Educational Production Functions, Journal of Public Economics 10, pp. 97-106.

    Jencks, C. and M. Phillips (1998), "The Black-White Test Score Gap," Chapter 1 in C. Jencks and M. Phillips, eds., The Black-White Test Score Gap, The Brookings Institution: Washington D.C., pp. 1-25.

    Ladd, Helen F. and Janet S. Hansen (2002). Making Money Matter: Financing America’s Schools. In Developments in School Finance, 1999-2000. Fiscal Proceedings from the Annual State Data Conference July 1999 and July 2000. National Center for Education Statistics.

    Link, Charles and James Mulligan (1991), Classmates’ Effects on Black Student Achievement in Public School Classrooms, Economics of Education Review 10, pp. 297-310.

    Mosteller, F. (Summer/Fall 1995), "The Tennessee Study of Class Size in the Early School Grades," The Future of Children, 5, pp. 113-127.

    New York State Board of Regents (September 2002). Local Effort. Report to the Regents Subcommittee on State Aid.

    New York State Board of Regents (June 2002). 2002 Chapter 655 Report: Annual Report to the Governor and the Legislature on the Educational Status of the State’s Schools (BR(A)4.1 and attachment).

    Rivkin, S. G.; E.A. Hanushek; and J.F. Kain (2000). Teachers, schools, and academic achievement. National Bureau of Economic Research, Working Paper No. 6691 (revised).

    Rubin, Max J. (Chairman) (February 1982). New York State Special Task Force on Equity and Excellence in Education, Volumes 1, 2 and 3.

    Rumberger, Russell and J. Douglas Willms (1992). The Impact of Racial and Ethnic Segregation on the Achievement Gap in California High Schools. Educational Evaluation and Policy Analysis 14(4), pp. 377-396.

    Salerno, Frederic V. (Chairman) (December 1988). Funding for Fairness. A Report of the New York State Temporary State Commission on the Distribution of State Aid to Local School Districts, Volumes 1 and 2.

    Shavit, Yehuda and Robert A. Williams (1985), Ability Grouping and Contextual Determinants of Educational Expectations in Israel, American Sociological Review 50, pp. 62-73.

    Summers, Anita and Roberta Wolfe (1977), Do Schools Make a Difference? American Economic Review 67, pp. 639-652.

    Willms, J. Douglas (1986), Social Class Segregation and its Relationship to Pupils’ Examination Results in Scotland, American Sociological Review 51, pp. 224-241.

    APPENDIX A

    NEED/RESOURCE CAPACITY CATEGORY DEFINITIONS

    The need/resource capacity index, a measure of a district's ability to meet the needs of its students with local resources, is the ratio of the estimated poverty percentage (expressed in standard score form) to the Combined Wealth Ratio (expressed in standard score form). A district with both estimated poverty and Combined Wealth Ratio equal to the State average would have a need/resource capacity index of 1.0. Need/Resource Capacity (N/RC) categories are determined from this index using the definitions in the table below.

     

    Need/Resource

    Capacity Category

    Definition

    High N/RC Districts

    New York City

    New York City

    Large City Districts

    Buffalo, Rochester, Syracuse, Yonkers

    Urban-Suburban

    All districts at or above the 70th percentile (1.1855) which meet one of the following conditions: 1) more than 100 students per square mile; or
    2) have an enrollment greater than 2,500 and more than 50 students per square mile.

    Rural

    All districts at or above the 70th percentile (1.1855) which meet one of two conditions: 1) fewer than 50 students per square mile; or 2) fewer than 100 students per square mile and an enrollment of less than 2,500.

    Average N/RC Districts

    All districts between the 20th (0.7693) and 70th (1.1855) percentile on the index.

    Low N/RC Districts

    All districts below the 20th percentile (0.7693) on the index.

     

     

     

     

     

    APPENDIX B

    Schedule of Reports and Topics

    Development of the

    Regents Proposal on State Aid

    to School Districts for School Year 2003-04

    Subcommittee on State Aid

     

    Date

    Reports/Topics

    June 2002

    Update on State budget

    Overview of State Aid to school districts

    Update on the Education Finance Research Consortium

    July 2002

    Reaffirm Regents goals for the 2003-04 proposal

    Discussion questions on State Aid

    September 2002

    Proposal introduction

    Analysis of pupil need

    October 2, 2002

    Meeting of Education Finance Advisory Group

    October 2002

    Analysis of local effort in support of education

    Review proposal directions, including aid to nonpublic school students

    November 6, 2002

    Meeting of Education Finance Advisory Group

    November 2002

    Review draft of conceptual proposal; discuss resolution on aid for nonpublic school students (Full Board)

    December 11, 2002

    Public Hearing on the Regents draft conceptual proposal on State Aid to school districts for school year 2003-04

    December 2002

    Action on final proposal with the dollar amount recommended and the overall distribution of aid

    January 2003 – April 2003

    Legislative advocacy

     

    APPENDIX C

    2003-04 Regents Proposal Technical Supplement

    Formula Components

    Consolidated Operating Aid

    Operating: Operating Aid is the greater of $400 or Aid Ratio Aid multiplied by Selected Total Aidable Pupil Units (TAPU). Aid Ratio Aid is the product of the State Sharing Ratio (greater of: 1.33 – (1.085 * Combined Wealth Ratio) or .915 – (0.56 * Combined Wealth Ratio) or 0.53 – (0.238 * Combined Wealth Ratio), with a maximum of 1.00) multiplied by $4,600 (up from $3,900) multiplied by a Regional Cost Index (see explanation following). Selected TAPU, Total Wealth Pupil Units (TWPU), and TAPU for Expense have been changed to be based on average daily membership (instead of average daily attendance), eliminate the 0.25 additional weightings for Pupils with Special Educational Needs and secondary pupils and add served prekindergarten pupils weighted at 0.5. Aid for New York City is on a citywide basis.

    Tax Effort: Consolidated with Operating Aid.

    Tax Equalization: Consolidated with Operating Aid.

    Tax Limitation: Consolidated with Operating Aid.

    Gifted & Talented: Consolidated with Operating Aid.

    Minor Maintenance and Repair: Consolidated with Operating Aid.

    Operating Standards Aid: Consolidated with Operating Aid.

    Transition Adjustment: The base includes 2002-03 Comprehensive Operating, Tax Limitation, Gifted and Talented, Maintenance and Repair and Operating Standards aids. For those districts for whom the new formula is less beneficial, districts are guaranteed an Alternate (income) Pupil Wealth Ratio-adjusted due minimum based on what they received in 2002-03. The due minimum percentage starts at 95 percent and may be adjusted upward for districts with below average income per pupil. The adjustment equals (Alternate Pupil Wealth Ratio – 0.50) * 0.10 and cannot be less than 0.00 or greater than 0.05. The resulting due minimum amount is reduced by the local effort shortfall which is the difference between the local levy (without STAR) and the local levy that could be raised at a wealth-adjusted State average tax rate ($15.44 multiplied by the Alternate Pupil Wealth Ratio). However, no district receives less aid than 85 percent of the base year aid. Caps on increases are modified by a Need/Resource Index which is limited to 1.8. District Operating Aid is capped at a need-adjusted 7.00 percent over 2002-03 aids. District increases in Operating Aid over 2002-03 aids are capped at a need-adjusted 18.10 percent. The Need/Resource Index is the district’s Extraordinary Needs Ratio (i.e., district Extraordinary Needs percent divided by the State average of 53.1 percent) divided by its CWR.

     

     

    Gap Aid

    Gap: This new aid equals a selected amount multiplied by the Aid Ratio (1 – (.4 * Income Wealth Ratio)) multiplied by a pupil needs count composed of limited English proficient pupils, a poverty count (based on the percent of K-6 eligible applicants for the free lunch program), a sparsity count and served prekindergarten pupils. The selected amount is at least 12 percent of an aid ceiling of $5,444 multiplied by the Regional Cost Index. The concentration factor equals 1 plus: the positive result of the district's needs percent minus 44.0 divided by 70.0.

    Extraordinary Needs: Consolidated into Gap Aid.

    Summer School: Consolidated into Gap Aid.

    Limited English Proficiency: Consolidated into Gap Aid.

    Universal Pre-Kindergarten: Consolidated into Gap Aid.

    Early Grade Class Size Reduction: Consolidated into Gap Aid.

     

    Aids for Support of Students with Disabilities

    Excess Cost - Public: A district’s 2001-02 Approved Operating Expense/TAPU for Expense is limited to a $2,000 to $8,250 range. The aid equals the allowed expense times the Aid Ratio (1 - (.51 * CWR), with a .25 minimum). Pupils are aided by district of attendance. A 1.30 weighting (down from 1.65) is provided for pupils who require special services or programs for 60 percent or more of the school day consistent with an Individualized Education Program (IEP). High Cost expense must exceed the lesser of $10,000 or four times district AOE/TAPU for Expense. Declassification Aid is included based on 50 percent of the basic Public Excess Cost Aid per pupil. No district receives less than 95 percent of its 2002-03 aid per pupil however this cannot exceed 150 percent of formula aid. Excess cost aid for students in integrated settings is the product of excess cost aid per pupil multiplied by 120 percent (up from 50 percent) of the attendance of pupils who receive special education services or programs by qualified personnel, consistent with an IEP, for 60 percent or more of the school day in a general education classroom with nondisabled students.

    Excess Cost - Private: Aid is for public school students attending private schools for students with disabilities. Net tuition expense is multiplied by the Aid Ratio (1 - (.15 * CWR), with a .5 minimum).

    Educationally Related Support Services: The aid equals: a) $379.85 (up from $365) multiplied by the State Sharing Ratio (with a .25 minimum) multiplied by 9 percent of Selected TAPU; plus, b) $616.25 (a reduction from $635) multiplied by the Public Excess Cost Aid Ratio, multiplied by 20 percent (up from 15 percent) of the Selected TAPU multiplied by the Extraordinary Needs percent in excess of 40 percent (down from 60 percent).

     

    Career and Technical Education

    BOCES: BOCES Aid is included for administrative, shared services, rental and capital expenses. Save-harmless is continued. Approved expense for BOCES Administrative and Shared Services Aids is based on a salary limit of $30,000. Aid is based on approved 2002-03 administrative and service expenses and the higher of the millage ratio or the Current AV/2001-02 TWPU Aid Ratio: (1 - (.51 * Pupil Wealth Ratio)) with a .36 minimum and .90 maximum. The millage ratio factor is increased from 8 to 9 mills. Rent and Capital Aids are based on 2003-04 expenses multiplied by the Current AV/2001-02 TWPU Aid Ratio with a .00 minimum and a .90 maximum. Payable aid is the sum of these aids.

    Special Services Computer Administration: Computer Administration Aid equals the Current AV/2001-02 TWPU Aid Ratio (1 - (.51 * Pupil Wealth Ratio)) with a .36 minimum multiplied by approved expenses not to exceed the maximum of $72.00 (up from $62.30) multiplied by the Fall 2002 public school enrollment with half-day kindergarten weighted at 1.0.

    Special Services Career Education: Career Education Aid equals the Current AV/2001-02 TWPU Aid Ratio (1 - (.51 * Pupil Wealth Ratio)) with a .36 minimum multiplied by $4,140 (up from $3,720), multiplied by the 2002-03 Career Education pupils including the pupils in business and marketing sequences weighted at .50 (up from 0.13).

     

    Instructional Materials Aid

    Instructional Materials: This new aid is based on 2002-03 expenditures for software, library materials and textbook purchases. The maximum Instructional Materials Aid equals $80.00 per pupil multiplied by the combined 2002-03 public plus nonpublic enrollment for pupils attending school in the district plus district pupils attending full time BOCES and private school programs for students with disabilities plus pupils attending the State operated schools at Rome and Batavia and resident pupils placed in Special Act school districts. Aid cannot exceed approved expenditures.

    Textbook: Consolidated into Instructional Materials Aid.

    Computer Software: Consolidated into Instructional Materials Aid.

    Library Materials: Consolidated into Instructional Materials Aid.

     

    Other State Aids

    Computer Hardware Aid: Aid for instructional computer hardware expenses (acquisition and limited repair and staff development expenses) is equal to the lesser of 2002-03 expenses or $32.35 multiplied by the Selected TAPU multiplied by the Current AV/2000-01 TWPU Aid Ratio (1 – (.51 * Pupil Wealth Ratio)). Expenses for Maintenance and Repair and Staff Development are limited to 30% (up from 20%) of maximum aid.

    Operating Growth: The district's estimated enrollment-based Growth Index in excess of 1.0100 (up from 1.0040) multiplied by the estimated 2003-04 Operating Aid.

    Transportation: Aid is based upon estimated approved transportation operating expense plus capital expenses as reported to the Commissioner by November 15, 2002 (except in cases of emergency) multiplied by the selected Transportation Aid Ratio with a .9 maximum and a .065 minimum. The selected Aid Ratio is the highest of 1.263 multiplied by the State Sharing Ratio or 1.01 - (.46 * Pupil Wealth Ratio) or 1.01 – (.46 * Enrollment Wealth Ratio), plus a sparsity adjustment. The sparsity adjustment is the positive result of 25 minus the district’s 2001-02 enrollment per square mile, divided by 58.

    Summer School Transportation: Transportation Aid for Summer School programs is based on estimated approved transportation operating expense plus capital expenses as reported to the Commissioner by November 15, 2002 (except in cases of emergency) multiplied by the selected Transportation Aid Ratio with a .9 maximum and a .065 minimum. Aid is no longer prorated to remain within a $5.0 million appropriation.

    Building: Aid is equal to the product of the estimated approved building expenses multiplied by the highest of the 1981-82 through the 2001-02 AV/RWADA Aid Ratios or the Current AV/TWPU Aid Ratio. For projects approved by voters on or after July 1, 2000, expenses are multiplied by the higher of the Building Aid Ratio used for 1999-00 aid less .10 or the Current AV/TWPU Aid Ratio. Up to 10 percent of additional building aid is provided for projects approved by voters on or after July 1, 1998. Building expenses include certain capital outlay expenses, lease expenses, and an assumed debt service payment based on the useful life of the project and an average interest rate.

    Building Reorganization Incentive: Building Reorganization Incentive Aid on capital outlay, lease and debt service is subjected to the same requirements as regular Building Aid however, aid is provided for reorganization projects only if approved by voters within five years of district consolidation and if the project is contained in the five year capital reorganization plan.

    Operating Reorganization Incentive: Operating Reorganization Incentive Aid is included as in permanent law however, no newly consolidated districts will receive aid unless the Commissioner determines the consolidation will improve student performance.

    Full Day Kindergarten Conversion: Districts with any half-day kindergarten or no kindergarten programs in 1996-97 and in the base year (2002-03), are eligible for aid equal to the estimated 2003-04 Operating Aid per Selected TAPU multiplied by any increase in full day kindergarten enrollment in 2003-04 over 2002-03.

    Teacher Support Aid: A total of $67.48 million is provided in aid to the Big Five City School Districts.

    Academic Support Aid: A total of $24.92 million is provided in aid to the Big Five City School Districts.

    Small Cities Aid: Aid is provided as in permanent law, including the gradual phase-out of save-harmless.

    Improving Pupil Performance Grants (IPP): This grant is eliminated for 2003-2004.

     

     

    Regional Cost Adjustment

    Based on Professional Salaries

    2003-04 Regents Proposal

    A regional cost index was generated using an approach first developed by education finance researchers in the state of Oregon. Their method recognized that school districts are often the dominant purchasers of college educated labor in a community. As such, they exercise unusual market influence over the price they pay for such services – a phenomenon that may distort the usual "free-market" model. For this reason, teacher salaries were specifically excluded from the construction of the index, and selected professional salaries used as a proxy for regional cost.

    The index includes 77 titles for which employment at the entry level typically requires a bachelor’s degree, and excludes teachers and categories that tend to be restricted to federal and state government. The wage data are provided by the Bureau of Labor Statistics and are drawn from the 1998 Occupational Employment Statistics (OES) Survey. The OES survey is an establishment survey and according to U.S. Department of Labor analysts, "wages and earnings tend to be more accurately reported in establishment surveys as they are based upon administrative records rather than recall by respondents." Additionally, the survey is administered on a three-year cycle where each year one third of the establishments are surveyed and wage data are aggregated using a technique known as wage updating. Thus, the approximations of wages become increasingly accurate and are most precise in the third year. The RCI calculations are based on the third and most accurate data-year in the cycle, and thus inspire confidence that the results are a good representation of the variation in professional service costs around the state. The triennial nature of the data means that the RCI need only be updated in those years in which the most accurate data in the cycle are available.

    Method of Calculation

    The index was calculated as the weighted median hourly wage for a given labor force region divided by the weighted median hourly wage for New York State ($26.02). The index was truncated to three decimal places then divided by the North Country value of .687. Index values range from 1.000 for the North Country to 1.515 for the Long Island/New York City Region. The accompanying table lists the counties included in each labor force region. The weighted median wage for New York State and for each labor force region was calculated as follows:

     

    Weighted Median Hourly Wage = The sum of: (Title Weight * Median Hourly Wage) for all 77 titles making up the index.

    1. Title Weight = the number of employees in a given title statewide divided by the number of employees in 77 titles statewide. Applying title weights to each labor force region prevents the index from being skewed by variations in occupational mix across regions.

    2. Median Hourly Wage = median hourly wage rate reported for each title in each labor force region and statewide.

    A separate index was created for each labor force region based on a subset of 47 of the 77 titles. These 47 occupations represent those titles where there were no missing data in any of the labor force regions. This index was then used to estimate the median hourly wage of titles with missing data in any given labor force region. This was done by multiplying the statewide median hourly wage for the title with missing data by the 47-title index for the specific labor force region for which the salary data was missing.

    For the purpose of index construction, the New York City and Long Island labor force regions were treated as a single labor force region. The New York City/Long Island weighted median wage was calculated as follows:

    NYC/LI Weighted Median Wage = The sum of (Title Weight * NYC/LI Medn Hrly Wage) for all 77 titles making up the index

    1. Title Weight = same as above.
    2. NYC/LI Median Hourly Wage = for each title:

    [(# of emp LI * LI median hrly wage)+(# of emp NYC * NYC median hrly wage)]

    (# of employees in LI + # of employees in NYC)

    Regional Cost Index

    Counties in Labor Force Regions

     

    Capital District

    Albany

    Columbia

    Greene

    Rensselaer

    Saratoga

    Schenectady

    Warren

    Washington

     

    Central New York

    Cayuga

    Cortland

    Onondaga

    Oswego

     

    Finger Lakes

    Genesee

    Livingston

    Monroe

    Ontario

    Orleans

    Seneca

    Wayne

    Wyoming

    Yates

     

    Hudson Valley

    Dutchess

    Orange

    Putnam

    Rockland

    Sullivan

    Ulster

    Westchester

     

    Long Island/New York City

    Nassau

    New York City

    Suffolk

    Mohawk Valley

    Fulton

    Herkimer

    Madison

    Montgomery

    Oneida

    Schoharie

    North Country

    Clinton

    Essex

    Franklin

    Hamilton

    Jefferson

    Lewis

    St. Lawrence

    Southern Tier

    Broome

    Chemung

    Chenango

    Delaware

    Otsego

    Schuyler

    Steuben

    Tioga

    Tompkins

    Western New York

    Allegany

    Cattaraugus

    Chautauqua

    Erie

    Niagara

    High Need School Districts

    2003-04 School Year

    Albany County

    010100 ALBANY

    010500 COHOES

    011200 WATERVLIET

     

    Allegany County

    020601 ANDOVER

    020702 GENESEE VALLEY

    020801 BELFAST

    021601 FRIENDSHIP

    022001 FILLMORE

    022101 WHITESVILLE

    022302 CUBA-RUSHFORD

    022401 SCIO

    022601 WELLSVILLE

    022902 BOLIVAR-RICHBG

     

    Broome County

    030200 BINGHAMTON

    030501 HARPURSVILLE

    031301 DEPOSIT

    031401 WHITNEY POINT

    031502 JOHNSON CITY

     

    Cattaraugus County

    040204 WEST VALLEY

    041101 FRANKLINVILLE

    041401 HINSDALE

    042302 CATTARAUGUS-LI

    042400 OLEAN

    042801 GOWANDA

    043001 RANDOLPH

    043200 SALAMANCA

    043501 YORKSHIRE-PIONE

     

    Cayuga County

    050100 AUBURN

    051101 PORT BYRON

    _________________________

    Note: A High Need District is defined as one which is in the top 30 percent of a ranking of districts based on poverty and combined wealth ratios, and includes the Big 5 City school districts. See page 26 for additional detail.

     

    Chautauqua County

    060401 CASSADAGA VALL

    060601 PINE VALLEY

    060701 CLYMER

    060800 DUNKIRK

    061501 SILVER CREEK

    061503 FORESTVILLE

    061700 JAMESTOWN

    062301 BROCTON

    062401 RIPLEY

    062601 SHERMAN

    062901 WESTFIELD

    Chemung County

    070600 ELMIRA

    Chenango County

    080101 AFTON

    081003 UNADILLA

    081200 NORWICH

    081401 GRGETWN-SO-OTS

    081501 OXFORD

    082001 SHERBURNE-EARL

    Clinton County

    090201 AUSABLE VALLEY

    090301 BEEKMANTOWN

    090901 NORTHRN ADIRON

    091200 PLATTSBURGH

    Columbia County

    101300 HUDSON

    Cortland County

    110101 CINCINNATUS

    110200 CORTLAND

    110901 MARATHON

    Delaware County

    120401 CHARLOTTE VALL

    120701 FRANKLIN

    120906 HANCOCK

    121401 MARGARETVILLE

    121601 SIDNEY

    121701 STAMFORD

    121702 S. KORTRIGHT

    121901 WALTON

     

    Dutchess County

    131500 POUGHKEEPSIE

    Erie County

    140600 BUFFALO

    141800 LACKAWANNA

    Essex County

    150203 CROWN POINT

    150901 MORIAH

    151501 TICONDEROGA

    Franklin County

    160801 CHATEAUGAY

    161201 SALMON RIVER

    161501 MALONE

    161601 BRUSHTON MOIRA

    161801 ST REGIS FALLS

    Fulton County

    170301 WHEELERVILLE

    170500 GLOVERSVILLE

    170600 JOHNSTOWN

    171001 OPPENHEIM EPHR

    Herkimer County

    210302 WEST CANADA VA

    210501 ILION

    210502 MOHAWK

    210601 HERKIMER

    210800 LITTLE FALLS

    211003 DOLGEVILLE

    211103 POLAND

    211701 VAN HORNSVILLE

    212001 BRIDGEWATER-W

    Jefferson County

    220301 INDIAN RIVER

    220909 BELLEVILLE-HEN

    221401 LA FARGEVILLE

    222000 WATERTOWN

    222201 CARTHAGE

    Lewis County

    230201 COPENHAGEN

    230301 HARRISVILLE

    230901 LOWVILLE

    231101 SOUTH LEWIS

    Livingston County

    240901 MOUNT MORRIS

    Madison County

    250109 BROOKFIELD

    250301 DE RUYTER

    251501 STOCKBRIDGE VA

    Monroe County

    261600 ROCHESTER

    Montgomery County

    270100 AMSTERDAM

    270301 CANAJOHARIE

    270701 FORT PLAIN

    271102 ST JOHNSVILLE

    Nassau County

    280201 HEMPSTEAD

    280208 ROOSEVELT

    280209 FREEPORT

    New York City

    300000 NEW YORK CITY

    Niagara County

    400400 LOCKPORT

    400800 NIAGARA FALLS

    Oneida County

    410401 ADIRONDACK

    410601 CAMDEN

    411701 REMSEN

    411800 ROME

    412300 UTICA

    Onondaga County

    421800 SYRACUSE

    Ontario County

    430700 GENEVA

    Orange County

    441000 MIDDLETOWN

    441600 NEWBURGH

    441800 PORT JERVIS

     

    Orleans County

    450101 ALBION

    450801 MEDINA

    Oswego County

    460102 ALTMAR PARISH

    460500 FULTON

    460701 HANNIBAL

    461801 PULASKI

    461901 SANDY CREEK

    Otsego County

    470202 GLBTSVLLE-MT U

    470501 EDMESTON

    470801 LAURENS

    470901 SCHENEVUS

    471101 MILFORD

    471201 MORRIS

    471601 OTEGO-UNADILLA

    472001 RICHFIELD SPRI

    472202 CHERRY VLY-SPR

    472506 WORCESTER

    Rensselaer County

    490601 LANSINGBURGH

    491200 RENSSELAER

    491700 TROY

    Rockland County

    500402 EAST RAMAPO

    St. Lawrence County

    510101 BRASHER FALLS

    510201 CANTON

    510401 CLIFTON FINE

    511101 GOUVERNEUR

    511201 HAMMOND

    511301 HERMON DEKALB

    511602 LISBON

    511901 MADRID WADDING

    512001 MASSENA

    512101 MORRISTOWN

    512201 NORWOOD NORFOL

    512300 OGDENSBURG

    512404 HEUVELTON

    512501 PARISHVILLE

    513102 EDWARDS-KNOX

    Schenectady County

    530600 SCHENECTADY

    Schoharie County

    540801 GILBOA CONESVI

    540901 JEFFERSON

    541001 MIDDLEBURGH

    541401 SHARON SPRINGS

    Schuyler County

    550101 ODESSA MONTOUR

    Seneca County

    560501 SOUTH SENECA

    561006 WATERLOO CENT

    Steuben County

    570101 ADDISON

    570201 AVOCA

    570302 BATH

    570401 BRADFORD

    570603 CAMPBELL-SAVON

    570701 CANISTEO

    571501 GREENWOOD

    571800 HORNELL

    572301 PRATTSBURG

    572702 JASPER-TRPSBRG

    Suffolk County

    580106 AMITYVILLE

    580109 WYANDANCH

    580232 WILLIAM FLOYD

    580512 BRENTWOOD

    580513 CENTRAL ISLIP

    Sullivan County

    590501 FALLSBURGH

    590901 LIBERTY

    591302 LIVINGSTON MAN

    591401 MONTICELLO

    Tioga County

    600101 WAVERLY

    600301 CANDOR

    600402 NEWARK VALLEY

    600801 SPENCER VAN ET

    600903 TIOGA

    Tompkins County

    610501 GROTON

    610901 NEWFIELD

    Ulster County

    622002 ELLENVILLE

    Warren County

    630801 HADLEY LUZERNE

    630918 GLENS FALLS CO

    631201 WARRENSBURG

    Washington County

    640601 FORT EDWARD

    641301 HUDSON FALLS

    641701 WHITEHALL

    Wayne County

    650501 LYONS

    651201 SODUS

    651501 N. ROSE-WOLCOT

    651503 RED CREEK

    Westchester County

    660900 MOUNT VERNON

    661500 PEEKSKILL

    662300 YONKERS

    Yates County

    680801 DUNDEE

     

     

    SUMMARY OF AIDS AND GRANTS AS REQUESTED IN

    THE 2003-04 REGENTS PROPOSAL ON SCHOOL AID

    2002-03

    2003-04

    Change

    School Year

    School Year

    Amount

    Percent

    Aid Category

    (---------------Amounts in Millions---------------)

    I. Consolidated Operating Aid

    Operating Aid

    $6,815.39

    $7,864.09

    $1,048.70

    15.39

    Tax Effort

    0.00

    0.00

    0.00

    NA

    Tax Equalization

    0.00

    0.00

    0.00

    NA

    Tax Limitation

    25.00

    0.00

    -25.00

    -100.00

    Gifted & Talented

    14.16

    0.00

    -14.16

    -100.00

    Minor Maintenance & Repair

    49.97

    0.00

    -49.97

    -100.00

    Operating Standards

    221.38

    0.00

    -221.38

    -100.00

    Plus: Cap on Losses

    59.47

    154.47

    95.00

    159.74

    Less: Cap on Increases

    0.00

    -559.31

    -559.31

    NA

    Improving Pupil Performance (IPP)

    66.35

    0.00

    -66.35

    -100.00

    Sum

    7,251.73

    7,459.25

    207.53

    2.86

    II. Gap Aid

    Gap

    0.00

    1,317.62

    1,317.62

    NA

    Extraordinary Needs

    725.42

    0.00

    -725.42

    -100.00

    Summer School

    43.52

    0.00

    -43.52

    -100.00

    Limited English Proficiency

    70.87

    0.00

    -70.87

    -100.00

    Universal Prekindergarten

    200.91

    0.00

    -200.91

    -100.00

    Early Grade Class Size Reduction

    134.56

    0.00

    -134.56

    -100.00

    Sum

    1,175.29

    1,317.62

    142.33

    12.11

    III. Aids for Support of Students with Disabilities

    Public Excess Cost Aid

    2,117.99

    2,148.23

    30.25

    1.43

    Private Excess Cost Aid

    161.48

    172.18

    10.70

    6.63

    Educationally Related Support Services

    73.67

    90.00

    16.33

    22.17

    Sum

    2,353.13

    2,410.41

    57.28

    2.43

    IV. Career and Technical Education Aid

    BOCES

    496.89

    497.11

    0.22

    0.04

    Special Services Computer Administration

    39.41

    45.39

    5.98

    15.17

    Special Services Career Education

    87.51

    152.32

    64.81

    74.06

    Sum

    623.81

    694.81

    71.00

    11.38

    V. Instructional Materials Aid

    Instructional Materials

    0.00

    266.26

    266.26

    NA

    Computer Software

    45.48

    0.00

    -45.48

    -100.00

    Library Materials

    19.22

    0.00

    -19.22

    -100.00

    Textbook

    190.23

    0.00

    -190.23

    -100.00

    Sum

    254.93

    266.26

    11.33

    4.44

     

     

    SUMMARY OF AIDS AND GRANTS AS REQUESTED IN

    THE 2003-04 REGENTS PROPOSAL ON SCHOOL AID

    2002-03

    2003-04

    Change

    School Year

    School Year

    Amount

    Percent

    Aid Category

    (---------------Amounts in Millions---------------)

    VI. Other State Aids

    Computer Hardware

    27.50

    41.75

    14.24

    51.79