
These revenue measures are matched to important district characteristics such as the percentage of children in poverty, the percentage of minority children, and wealth. In addition, revenues are expressed in adjusted terms to allow for resource cost variations in providing education services across the state, and to allow for variations in the number of students with supplemental educational needs.
Given the shared responsibility for funding public education across federal, state, and local levels of government and the diversity of funding sources at these three levels, it is not surprising that there are differences in the amounts of revenue allocated in support of public education. However, there has been considerable debate on how vast these differences can be and when they are justified. Clearly, there are implications for the strongly held American value of equal educational opportunity. The courts, education policymakers, and the finance research community generally find that some variation in funding levels are acceptable, and may be fully justified by district cost differentials. However, they have struggled with the degree to which, and under what circumstances, these differences are acceptable. A better understanding of the relationship between the varying amounts of funding from different levels of government by type of school district and student provides an important basis for assessing the policy significance of these differences.
All states provide categorical aid for supplemental programs to school districts, as well as general funding aid. Special education programs receive supplemental funding in all states, while such programs as limited English proficiency and compensatory education receive supplemental funding in some states. All federal funding sources for public education are associated with some special purpose. However, traditional equity analyses have generally excluded categorical funds, focusing only on general education revenues. In contrast, the analyses presented in this report examines the overall funding received by different types of students, school districts, and communities.
This allows the reader to assess how much is received in total revenues and the extent to which categorical revenues really serve as a supplement to base or general revenues for different types of districts and students. In addition, the report shows the amount of categorical revenues received in relation to total student enrollment in the various types of districts, as well as in terms of the target population for whom the categorical program is intended to serve. For example, students in poverty are considered to be the target population for the federal Chapter 1 program, limited English proficient (LEP) students for bilingual programs, and special education students for special education funding programs.
The report addresses three questions fundamental to public education fiscal policy:
To increase policy relevance, fiscal data are matched to other databases that provide more descriptive information about the districts and the communities in which they are located. These other data sources are the nonfiscal data from the Common Core of Data (CCD) of the 1991-1992 school year and the 1990 data collected by the U.S. Bureau of the Census mapped by school district. The resulting data set enables the examination of public education revenues for public school districts across the nation, as well as the comparison of these allocations across a full set of student, district, and community characteristics.2
The revenue data presented in this report are presented in their actual, resource-cost adjusted, pupil-need adjusted, and cost- and need-adjusted forms. Actual quantities reflect the resource amounts actually reported for individual districts by the state education agency. Resource-cost-adjusted amounts reflect dollar amounts adjusted for education cost variations in different localities. Student-need-adjusted quantities are derived from a set of adjustments that account for differing compositions of student needs within school districts. Resource-cost and student-need-adjusted quantities combine both of these types of adjustments.
Research questions are addressed through the following data analyses:
The importance of these adjustments to a more complete understanding of the relationships among the variables presented in this report is illustrated in table A, extracted from the main body of the report. It shows the differing results that can be obtained through the use of resource-cost and pupil-need adjustments. The general revenue data (the top grouping) in this table show a negative relationship between the percentage of students in poverty and general revenues per student (the higher the poverty the lower the general revenues per student). In actual terms (column 3), the difference between the lowest and highest poverty categories is $1,362 ($5,555 minus $4,193). When these revenues are cost-adjusted (column 4), the difference between these two poverty categories falls to $1,046 ($5,196 minus $4,150), suggesting that the lowest poverty districts are often located in higher cost areas. With just a pupil need-adjustment (column 5), the average revenues per student are uniformly reduced because of the inflated student count produced by this adjustment. However, the difference between the lowest and highest poverty categories is once again similar to the difference in actual terms at $1,374 ($4,814 minus $3,440). Combining the cost- and need-adjustments (column 6), general revenues across all categories of poverty continue to be reduced as a result of the need adjustment, with the difference between the lowest and highest poverty categories of $1,098 ($4,505 minus $3,407) approximating that found in the cost adjusted only column.
Revenues by target student is the second analytical approach. This approach provides a comparison of the average categorical revenues per type of student that a particular federal or state education program is intended to benefit. A "target" student is defined as the student for whom the categorical funds are intend. For example, since state compensatory education programs are intended to benefit students living in poverty, the analysis of this categorical program per target student is derived by dividing the total state compensatory education revenues of the district by the estimated number of students in poverty in the district.
The third set of analytical procedures compares the variation in quantities of total revenues per student across states. Relative variation or dispersion in education revenues can be measured in a variety of ways. In this report, the variation in total revenues per student is depicted by showing the differences in the values at the 5th, 25th, 50th, 75th, and 95th percentiles for each state and through a variety of classic disparity measures.
How does the level of support from the most predominant of the individual state and federal public education revenue streams vary for different types of school districts and communities when expressed in terms of an overall per student basis, as well as a per target student basis?
Creative methods for looking beyond what is currently being done in terms of education revenues and expenditures to what should be done constitutes an important step in advancing these ideas. Ultimately, to more fully define the concepts of equity and adequacy and to better understand the implications of alternative national investment strategies in public education, the relationship between varying levels of education resources and educational results are needed.
2 The procedures used in deriving the breakpoints for these variables are described in appendix D.![]()