
This research examined the level of equity of the public school funding system in Texas that in September of 2004 was held to be unconstitutional by a state district judge. The study also introduces a mechanism, referred to as the Revenue-to-Population Index or RTP Index, which compares funding equity within the unconstitutional system among 1031 public school districts in Texas. The index utilizes the total funds available to the school district and the school districts’ weighted average daily attendance (WADA). Data suggest a level of inequity within the unconstitutional funding system with regards to accessibility of state funds for PK-12 schools within Texas, as measured by the Gini-coefficient and the coefficient of variation. Additionally, data indicates an extremely wide (0.85 to 2.91) differentiation within the RTP Index, further documenting a degree of inequity of the public school funding system. A graphical representation suggests a high correlation between property wealth per WADA and revenue per WADA. This condition indicates a violation of the central principal of fiscal neutrality. The processes cited in this paper provide a system that can be used to correct disproportionate funding levels for PK-12 students across Texas, in compliance with legislative objectives and in full-compliance with the directives of the courts.
On Wednesday, September 15, 2004, State District Judge John K. Dietz in the West Orange Case, declared the Texas system for funding its public schools to be unconstitutional. Judge Deitz noted that the $30 billion-a-year system was both inequitable and inadequate. (Stutz, Sept. 16, 2004). A review of newspaper articles, press releases, and reports on meetings held around the state regarding public school finance would indicate that Texas is on the verge of “plowing new ground” in school finance. If, as Keller (2004) proposes, “. . . every Texas school will be accountable for closing achievement gaps among subpopulations of students as a result of The No Child Left Behind Act of 2001,”and “. . . nearly three-quarters of Texas public school students live in districts that levy property taxes at or near the statutory cap of $1.50 per $100 of valuation” (p. 93) then the challenge becomes reviewing every aspect of school financing and available resources in hopes that this review might yield an appropriate methodology to address equity and access issues.
Historically, the development of a funding system for Texas public schools has been characterized by a series of starts and stops, primarily driven by economic conditions and political considerations. Though this has largely been an evolutionary process, it became more revolutionary in nature with the filing in the federal court system of Rodriquez v. San Antonio ISD (1971)which challenged the constitutionality of the Texas public school funding system. This effort was unsuccessful and was followed by Edgewood v. Bynum (1984) which challenged the Texas system in state court. The case was filed again as Edgewood v. Kirby (1985) and in 1989 the Texas Supreme Court reversed the appeals court decision and affirmed the trial court's decision that found the Texas system of public school finance unconstitutional (Walker & Casey, 1996). The basis of the ruling was that the Constitution calls for an "efficient system" and the Court found "an implicit link between efficiency and equality" (Edgewood v. Kirby, 1989). Not unlike other states, this ruling was followed by a series of legislative attempts to remedy the problems within the system. These attempts lead to successful legal challenges to subsequent legislative proposals. Finally, in 1993 with the passage of Senate Bill 7, the legislature was able to pass a funding bill that met constitutional muster. Senate Bill 7 provided the framework for the revised Texas school funding system, but still carried the title of the previous Foundation School Program.
The method provided in Senate Bill 7 for funding maintenance and operations consisted of a two-tiered system. Tier I is a Minimum Foundation Program and Tier II is a Guaranteed Yield component. This system is built on a partnership between the local district and the state and it relies heavily on local property taxation. The unique and controversial feature of this system is the provision for recapture of all local property taxes collected above a legislatively determined cap, called the Equalized Wealth Level (Texas Education Code, Title 2, Chapter41, 42, and 46).This program is commonly referred to as a “Robin Hood” plan because, effectively, it recaptures funds from property wealthy districts and reroutes that funding indirectly to property poor districts.
Within the recent Foundation School Program, Tier I required that local districts levy a $0.86/$100 valuation tax rate to provide the local share of the total cost of Tier I and guaranteed that the district would be able to access funds of $295,000 of property wealth per weighted student. Tier II allowed districts to levy an enrichment tax rate of up to $0.64/$100 valuation since M&O rates are legislatively limited to $1.50/$100 valuation. This helps ensure access to a property wealth level of $271,400 per student in Weighted Average Daily Attendance (WADA). The Equalized Wealth Level was set at $305,000 property wealth per WADA. Also built into the Foundation School Program are adjustments for differing educational needs of students through a weighted pupil approach and for varying local economic conditions by way of a Cost of Education Index (CEI) and size and sparsity adjustments.
A major addition to the original Senate Bill 7, relating to state school finance, has been the addition of assistance for funding for instructional facilities. This assistance is comprised of two parts. The first is the Instructional Facilities Allotment (IFA), which requires applications for assistance in building proposed new facilities. These applications are approved based on greatest need (determined by per-pupil local property wealth) until allocated funds are expended. The second part consists of the Existing Debt Allotment (EDA) and is used to assist districts with debt retirement requirements on old debt. The allotment for both IFA and EDA is a guaranteed yield at $35 per ADA per penny on the debt service tax rate. The provision of recapture does not apply to local funds for building new facilities or to the retirement of current debt (Texas Statutes, Texas Education Code, Title 2, Chapter 46). Although not widely known, and thus not often discussed, this is seemingly a critical point in assessing equity across the current funding system.
Additionally, this version of the Foundation School Program has been a large step forward in the equalization of funding for public school students in Texas. However, areas of contention continue to surface. The most divisive area appears to be the concept of recapture, which is a plan specifically designed to address equity in funding among the 1031 state independent school districts. Districts that have property wealth above the cap send large amounts of local revenue back into the system to be accessed by districts with less local property wealth per student. The existence and degree of contention in regard to this matter is largely a matter of perspective. The less contentious, but more pervasive area is that of capacity. The maximum tax rate for Texas school districts for funding current year operations is $1.50 per $100 valuation. For fiscal year 2004, 60% of the districts had M&O tax rates of $1.46 to $1.50 (Thompson, 2004). At this point, under the above constraints, equity becomes an issue.
Judge Dietz’s ruling of September 15, 2004 gave the legislature one year to replace the system with one that is constitutionally acceptable. At that time, the Attorney General of the State of Texas noted that the state would appeal the ruling directly to the Texas Supreme Court in order to resolve the issues raised by the trial court. In the state of Texas, the issue of funding equity has been the driving force for many changes occurring in the way the state funds its schools. The recent standard tends to focus on providing equal access to funds at substantially equal tax effort in order to address these gaps (Thompson, 2003). The numbers would indicate that there still exist considerable differences in available revenue between property-rich and property-poor school districts. For example, the system has never closed the gap to the $600 promised in Edgewood IV. The gap has actually widened to over $1,000 (Equity Center Positions of the West Orange-Cove Case, 2003). Funding policies that continue to allow and/or exacerbate the ability for some districts to have access to needed funds include the following two issues.
Though equity is the focus of many studies, this study concentrates on accessibility to the funding. Accessibility, by definition, is not how much funding school districts have but how much funding districts have access to or how much is available to them. Districts unable to access the total amount of funding allotted, for one reason or another, have little recourse but to place themselves into the inequitable arena.
The purpose of this study was to examine the degree of equity in funds available for access through the current funding system for public schools in Texas. More specifically, this study statistically addressed the accessibility of funding in the Texas Foundation School Program and then defined a new process, the Revenue-to-Population Index or RTP Index, to compare each school district based on this data.
This research is significant in three major areas. First and foremost, current literature on state formula funding in Texas has not used a normalized statistical technique in assessing the equity of the formula funding system, as measured by school district size and WADA access to funding, compared against the funds districts and students actually receive. Second, current literature does not provide a means of comparing equity or inequity among individual school districts across the state. This deficiency must be addressed in order to further reforms and to contribute substantively to the dialogue on restructuring the current system. With so much history of revision, legal challenges and the like, it is seemingly obvious that a fresh, new, critical look at the system is in order. Finally, as alternatives and changes to the Foundation School Program in Texas are contemplated, this study provides a vehicle, the RTP Index, for comparing the equity merits of new, existing, and/or emerging proposals.
This project utilized a quasi causal-comparative research design. Specifically, the researchers, utilizing current data provided by the Texas Education Agency, set out to determine “consequences of differences that already exist between or among groups” (Fraenkel & Wallen, 2003). In the case of this research project, both school districts and WADA were considered as parts of the analysis. While this study does examine differences that have already occurred and were thus analyzed retrospectively, the term “quasi” was added to the design description because this research also attempts to formulate a method for analyzing future proposals of formula funding within the state. This final additional element takes this design out of the scope of Fraenkel and Wallen’s definition and moves it into the quasi-comparative arena.
This research was guided by the following research questions:
1.What is the degree of equity and fiscal neutrality in the methodology for providing access to funds in the current system of formula funding in the Texas Foundation School Program?
2.How do Texas School Districts compare in equity to other school districts as measured by percent of weighted student versus percent of available formula funding-generated dollars?
In responding to the first research question, the total population was considered and a purposeful sample of the population was collected and utilized “to select unique cases that are especially informative” (Neuman, 2004). Since 82% of WADA in the state of Texas are consider to be in Tier II districts, our purposeful sample was designed to include the 18% of those outside Tier II. Therefore, the selected sample population consisted of the upper 18% and the lower 18% of WADA ranked by per WADA revenue. This sample was selected from the total population of public independent school districts in Texas (n=1031) that were eligible to access state formula-funding. All students within the State of Texas equate to
5, 336,535. Thus the purposeful sample utilizes the bottom 18% and the top 18% or approximately 1,923,083. The purposeful sample of 36% of the state’s total WADA equates to 774 public school districts (N=774). This sample was utilized in order to omit the repetition of districts falling within the Tier II funding system. The intent of drawing this purposeful sample of the population was to examine the true inequities within the system.
In order to address the second research question, the total population was analyzed. This total population consisted of all 1031 school districts in the State of Texas. Data from the total population were collected and utilized. Charter schools and private schools were intentionally omitted from this study due to a funding system that is not related to local property wealth.
Data were collected from both online sources including the Texas Education Agency and the Equity Center in Austin, Texas. Specifically, data from the 2004 fiscal year were used as it represented the last completed year of state funding. The definition of state funding used in this report assumes that all districts are at $1.50 M&O and $.29 of existing debt allotment. In order to address the two research questions, the study then utilized three statistical treatments for equity analysis of this data and a graphical representation for fiscal neutrality. This study utilized three of the most commonly used measures of equity which have been associated with previous studies in school finance, i.e. the Gini coefficient, the coefficient of variation, the Verstegen Index, and a graphical representation of fiscal neutrality.
The Gini coefficient is used as a major indicator of the equity in the formula funding mechanism employed by the state of Texas. The decision to use this statistical procedure to demonstrate the relative equity in wealth access across schools districts is based on the definition of the Gini coefficient noting that this procedure takes into account the total range of data within the set. It is important to note that rather than pupil counts, such as ADA, this study used Weighted Average Daily Attendance (WADA) because this variable primarily drives funding in the Foundation School Program. The exception to this was in calculating the funding driven by Chapter 46 (facilities funding) where Average Daily Attendance (ADA) was noted as the metric to be used (pupil count).
The Gini coefficient is derived from the Lorenz curve, a cumulative frequency curve that compares the distribution of a specific variable with the uniform distribution that represents equality. A diagonal line represents perfect equality, and the greater the deviation of the Lorenz curves from this line, the greater the inequality. The Gini coefficient is double the area between the equality diagonal and the Lorenz curve, bounded below by zero (perfect equality) and above by one (the case when a single member of the population holds all of a particular resource.) The purest use of the Gini occurs when individual data are used. If only group data is available, the Lorenz curve will not be precise (Hale, 2001). This study used individual data as the revenue available to each WADA in the state as part of the sample; therefore the Gini coefficient analysis was utilized. The Verstegen Index was also utilized to measure the degree of concentration of resources in the top half of the distribution (Odden & Picus, 2004). This measurement calculates the ratio of the total amount of resources above the median and the amount that would be available to the same number of observations at the median per WADA revenue. The coefficient of variation among districts and WADA is shown to illustrate the percent variation about the mean (Odden & Picus, 2004). The coefficient of variation is simply the standard deviation divided by the mean. This study used a graphical treatment for illustration of fiscal neutrality in the Foundation School Program. Specifically, a graph was formulated to represent each school district’s available revenue per WADA plotted in relationship to the school property wealth per WADA.
In this section, data are presented and discussed to address each of the research questions. The Lorenz curves, as explained in the previous section, are depicted in Figures 1 and 2. The results of the analysis are provided in Table 1 with benchmarks that are widely accepted in the research community. A graph illustrating Fiscal Neutrality is provided as Figure 3.
What is the degree of equity and fiscal neutrality in the methodology for providing access to funds in the current system of formula funding in the Texas Foundation School Program?
The degree of equity and fiscal neutrality in the methodology for providing access to funds in the current formula funding in the Foundation School Program was analyzed. This analysis focused on the revenue available or accessible to districts rather than the amounts of revenue that districts actually receive. This approach allowed the focus to be placed on the system and not on the actions of the individual districts since revenue realized by individual school districts reflected local tax rates and tax collection procedures.
Figure 1. Population.

Portion of Population per 5,336,535 WADAPortion of Revenue
The analysis of Research Question 1 was completed on the total of revenue available in the Foundation School Program. This study presents two perspectives by which to apply the tests for equity in the system. The entire system (Figure 1) is evaluated which includes all WADA and districts and a sample population (Figure 2) was also analyzed using the Gini Coefficient and the Lorenz Curve.
Figure 2. Purposeful sample population (Top and Bottom 18% of the Population).

Portion of Purposeful Sample Population per 5,336,535 WADAPortion of Revenue
The purposeful sample included the 18% of WADA receiving the lowest per WADA revenue and the 18% of WADA receiving the largest portion per WADA revenue. The purposeful sample is presented as an alternative that would, perhaps, compensate for the potential masking of differences in per WADA funding due to the enormity of the system. As mentioned before, the 18% figure was arrived at because the system is, seemingly, equalized at the 82nd percentile.
The results of the statistical treatments are interesting even if somewhat contradictory. The Gini coefficient based on the total system is well within the benchmark for equity; however the Gini coefficient for the purposeful sample demonstrates the existence of considerable inequity. This mixed result, seemingly indicates that the magnitude of the numbers tend to mask the differences in funding levels.
Table 1
Results of Statistical Procedures on Both Population and Stratified Sample
| Statistical Treatment | Participants | Benchmark | |
| Population | PurposefulSample | ||
| Gini coefficient | 0.03 | 0.06 * | 0.05 |
| Verstegen Index | 1.06 * | 1.13 * | 1.00 |
| Coefficient of Variation(WADA) | 0.09 | 0.13* | 0.10 |
| Coefficient of Variation(District) | 0.19 * | 0.21* | 0.10 |
* Exceeds Benchmark (Odden & Picus, 2004, pp. 64-67)
The coefficient of variation of 0.19 by district for the total system and 0.21 (Table 1) for the purposeful sample population (by district) are, in both cases, outside the benchmark of 0.10. These results would indicate that there are great differences in the amount of per WADA revenues available between those with the greatest access and those at the level of least access.The Verstegen Index (Table 1) of 1.06 for the total system and 1.12 for the sample population indicates by the range above 1.0 (1.0 indicating equal), that there is a considerable amount of per pupil revenues concentrated in the upper half of per pupil revenue access as compared to those at the median. The Verstegen Index is the actual revenue in the upper 50% of observation as compared to revenue available for the same observation at the median revenue.
Examination of the graph (Figure 3) illustrating fiscal neutrality in the system indicates that there continues to be a significant relationship between per WADA property value and per WADA revenue. This relationship is particularly strong at the extreme end of the per WADA property value scale (x-axis). The spikes in the per WADA revenue graph for those in the lower (approximately 80%) segment of property wealth are, seemingly, due to differences in leveling revenue such as CEI and district size adjustments.
Figure 3. Fiscal Neutrality.

Property Wealth per WADARevenue per WADA
How do Texas School Districts compare in equity to other school districts as measured by percent of weighted student versus percent of available formula funding-generated dollars?
In order to compare equity in available funding access among the 1031 school districts in Texas, the “Revenue-to-Population” (RTP) Index was developed within this study for the purpose of creating a simplified method of comparison between available funding for districts. The index was calculated by dividing the percentage of school district funds which were available to each district by the total weighted average daily attendance within the district. The result was a number that could be easily understood and compared. The RTP Indexwas calculated as follows:
Percentage of Funds Available (PFA)
--------------------------------------------- = RTP Index
Percentage of Total WADA (PTW)
The RTP Index was calculated for each district based on its WADA and total access to funds in the Foundation School Program. This is a combined composite index representing the discrepancy, if it exists, in school funding equity at the individual district level. The RTP Index was then used to calculate available funding equity across the 1031 school districts in Texas. This index can be used to represent the funding which districts receive compared to that which is available to each district.
Data are presented in regard to the ratio of percent of revenue to the percent of population. A complete listing of RTP Indices for all Texas public schools can be found in the appendix A. The listing is compiled in ascending order by district number in Appendix A and in ascending order in Appendix B, by RTP Index Rank. The RTP Index is based on the assumption that in a totally equitable system (in terms of access to revenue) that every WADA and district would have an RTP Index of 1. Interestingly, the actual RTP Indexes for the 1031 school districts in Texas ranged from 0.85 to 2.91. That is, whatever percent of total population a student (WADA) represents, that individual would receive the same percent of available revenue so in a totally equitable system of 1% WADA would receive 1% of the available formula revenue.
In the case of the Foundation School Program, where the mean of per WADA revenue is $5428, a WADA in a district with an RTP Index of 0.85 would have access to 85% of $5428 or $4614, which would be $844 less than the district’s equitable entitlement per WADA. Conversely, a district with an RTP Index of 1.45 is receiving 145% of the equitable WADA. This equates to $7870 per WADA or $2442 more than the equitable amount of $5428. In this case, the district with the higher RTP Index is receiving $3256 more per WADA than the school district with the RTP Index of .85. Thus, the significant range of RTP values clearly suggests a marked difference in the amount of revenue available for school districts in the Foundation School Program.
The intent of this research was to provide some insights into the relative equity of the access to funds in the Texas Foundation School Program. Based on 2004 fiscal data and regulations in place at that time, the system was providing funding for more than five million WADA and access to funds nearing thirty billion dollars ($30 Billion). The analysis of the data reveals a system that is reasonably equitable in terms of the most widely accepted methods of analysis. Enthusiasm must be tempered for the degree of equity demonstrated by the Gini coefficient in light of the wide disparity in available funding within the system by the unacceptably high levels of variance as shown in the coefficients of variation by WADA and by District. There is also a concentration of per pupil revenue in the upper 50% of that hierarchy, along with a troubling relationship between per WADA property wealth and per WADA revenue.
The processes of performing these statistical tests are quite illuminating in regard to what issues drive these variations in available per pupil revenue. Seemingly, these disparities are exacerbated by the following factors:
Any analysis of the data will reveal that the Foundation School Program is heavily reliant on local property taxes. Further examination indicates that in any school funding system that relies on property taxes to fund or supplement the system, equity and recapture are inseparable. It follows immediately that the greater the reliance on local property taxes, the more volatile the issue becomes between those who insist on equity and those who resent recapture.
The RTP Index values provided in Appendix A and Appendix B give voice to the equity and inequity of the system by providing a means of comparing and communicating the differences among districts. This index also gives key district leaders and policy-makers important data for identifying potential funding short-falls for their district in order to bring about dialog and subsequent actions for eliminating such short-falls. This index will also lead to examination of these short-falls in order to unmask issues surrounding funding availability.
Data in the study also give voice to the importance of accessing all funds available in the formula-funding system and thus the concern that some school districts may not be accessing the full funding available to them. It is a common factor for funding to be unavailable to districts due to some economic anomaly. It is of little use to districts to have available funding and not have the ability to obtain or access and use these funds. This anomaly widens the inequity gap and further complicates the problem of equitable funding for school districts. The RTP Index developed within this study can be used to simplify communications concerning the current funding system and to address its effects upon districts. It is important to note that districts not reaching equity of 1.0 on the RTP Index should seek to identify reasons for this short-fall whether it is current lack in Average Daily Attendance or disparities in taxes owed or taxes paid.
As Texas moves toward revisions in the public school funding system, the RTP Index can also be used to gauge the equity of any proposed funding systems before engagement. Further, the RTP Index gives individual school district leaders and school boards a means to compare their district’s equity position in comparison to the state funding system as well as other school districts in similar situations.
As discussed at the beginning of this article, the Texas public school finance system has been in and out of court for much of the last two decades. This reality clearly indicates the need for a new look at the funding equity questions across the system and the need for benchmarking the existing system in order to facilitate future system revisions. It is this benchmarking that becomes the major implication of this research. It is only when we completely understand the implications of changing funding formulas or continuing to use existing systems, that policy and lawmakers can chart a path for improvement. By using the RTP Index to pin-point funding availability we can vastly improve the tracking of these inequities. Hopefully the use of this technique can also reduce the likelihood that future funding systems will end up in the court system, as a result of challenges posed by individuals or districts that are perceived as not being treated fairly. Under a democratic system, fair and equitable treatment under the law is the expectation and the right of every citizen.
Equity center positions on the West Orange-Cove Case. (2003). Contained in Invitation to Tier II Districts to Join the Alvarado Intervenors in the West Orange-Cove Case. Alvarado Internevors Committee: Dr. Ernie Laurence, Chariman.
Edgewood V. Kirby 777 S.W.2d 391 (Tex. 1989).
Fraenkel, J. R., & Wallen, N. F. (2003). How to design and evaluate research in education (5th edition). Boston, MA: McGraw Hill.
Gronberg, T. J., Jansen, D. W., Taylor, L. L., & Booker, K. (2004). School outcomes and school costs: The cost function approach. Unpublished Report to The Texas Joint Select Committee on Public School Finance.
Keller, H. (2004). Confronting the constitutional challenges. Putting the Sides Together. Texas Public Policy Foundation. p. 93.
Hale, J. T. (2001). School finance and equity in Texas. Retrieved on January 14, 2005 from http://uts.cc.utexas.edu/~jthale/inequality.htm
Lavine, D. (2004). Show me the money. Putting the Sides Together. Texas Public Policy Foundation.
Neuman, W. L. (2004). Basics of social research. Boston: Allyn and Bacon/Pearson. pp. 138–139.
Odden, A. R., & Picus, L. O., (2004). School finance: A policy perspective, (3rd ed.). New York: McGraw Hill. pp. 64–67.
Picus, L. O., Odden, A., & Fermanich, M. (2004). Assessing the equity of Kentucky's SEEK formula: A 10-Year analysis. Journal of Education Finance,29(4), pp. 315–336.
Pierce, W. (September 16, 2004). Legal: Reaction to the ruling. Retrieved on September 17, 2004 from http://texasisd.com/
Schlomack, B. ( September 16, 2004). No matter who wins school finance lawsuit, taxpayers lose. Texas Public Policy Foundation. Retrieved on July 15, 2006 from http://www.texaspolicy.com/pdf/2004-08-25-southwestsun-suing.pdf
School Facts Sheet. Retrieved on April 3, 2004 from http://www.tgslc.org/tgslc/schlfs/
School Finance in Texas. Retrieved on April 3, 2004 from http://www.cppp.org/kidscount/education/finance.html
Stutz, Terence. (Sept. 16, 2004). Robin Hood’ system rejected. Dallas Morning News. Austin Bureau. Retrieved on November 13, 2004 from http://nieer.org/news/index.php?NewsID=925
Swanson, A. D. & King, R. A. (1997). School Finance: Its Economics and Politics. New York: Addison Wesley, Longman.
Taylor, L.L. (2004). Adjusting for geographic variations in teacher compensation: Updating the Texas CEI. Executive Summary. Unpublished Report to The Joint Select Committee on Public School Finance.
Texas Education Code: Chapter 41. (2002). Manual for districts subject to wealth equalization. Texas Education Agency: Austin.
Texas Education Code, Title 2, Chapter41-42. Texas Statutes. Retrieved on January 10, 2005 from http://www.capitol.state.tx.us/statutes/ed.toc.htm
Texas Education Code, Title 2, Chapter 46. Texas Statutes. Retrieved on January 10, 2005 from http://www.capitol.state.tx.us/statutes/ed.toc.htm
Texas school finance: Revenue generation for Texas public schools. Education Service Center, Region 20. Retrieved on April 3, 2004 from http://www.capitol.state.tx.us/psf/9_10_03/Smith-Stavinoha%20Presentation.pdf
Thompson, D. (2003). Texas public school finance: A look at where we have been-and where we are headed. Unpublished Document.
Thompson, D. (2004). The financing of Texas public schools: An update on the litigation. Featured strand on school finance summary: Texas Association of School Administrators.
Vedder, R., & Hall, J. (2004). Effective, efficient, fair: Paying for public education in Texas. Texas Public Policy Foundation.
Walker, B. D., & Casey, D. T. (1996). The Basics of Texas Public School Finance (6th ed). Texas Association of School Boards: Austin.
West Orange-Cove Consolidated Independent School District V. Alanis, 107 S.W.3d 558 (Tex. 2003).
| 001902 | CAYUGA ISD | 0.95 |
| 001903 | ELKHART ISD | 0.95 |
| 001904 | FRANKSTON ISD | 0.94 |
| 001906 | NECHES ISD | 0.93 |
| 001907 | PALESTINE ISD | 0.97 |
| 001908 | WESTWOOD ISD | 0.95 |
| 001909 | SLOCUM ISD | 0.94 |
| 002901 | ANDREWS ISD | 1.20 |
| 003902 | HUDSON ISD | 0.97 |
| 003903 | LUFKIN ISD | 0.97 |
| 003904 | HUNTINGTON ISD | 0.96 |
| 003905 | DIBOLL ISD | 0.96 |
| 003906 | ZAVALLA ISD | 0.95 |
| 003907 | CENTRAL ISD | 0.96 |
| 004901 | ARANSAS COUNTY ISD | 0.98 |
| 005901 | ARCHER CITY ISD | 0.93 |
| 005902 | HOLLIDAY ISD | 0.96 |
| 005903 | MEGARGEL ISD | 0.90 |
| 005904 | WINDTHORST ISD | 0.95 |
| 006902 | CLAUDE ISD | 0.92 |
| 007901 | CHARLOTTE ISD | 0.94 |
| 007902 | JOURDANTON ISD | 0.95 |
| 007904 | LYTLE ISD | 0.96 |
| 007905 | PLEASANTON ISD | 0.96 |
| 007906 | POTEET ISD | 0.96 |
| 008901 | BELLVILLE ISD | 0.98 |
| 008902 | SEALY ISD | 0.97 |
| 008903 | BRAZOS ISD | 0.95 |
| 009901 | MULESHOE ISD | 0.95 |
| 010901 | MEDINA ISD | 0.91 |
| 010902 | BANDERA ISD | 0.98 |
| 011901 | BASTROP ISD | 0.99 |
| 011902 | ELGIN ISD | 0.97 |
| 011904 | SMITHVILLE ISD | 0.98 |
| 011905 | MCDADE ISD | 0.94 |
| 012901 | SEYMOUR ISD | 0.93 |
| 013901 | BEEVILLE ISD | 0.97 |
| 013902 | PAWNEE ISD | 1.17 |
| 013903 | PETTUS ISD | 0.93 |
| 013905 | SKIDMORE-TYNAN ISD | 0.95 |
| 014901 | ACADEMY ISD | 0.95 |
| 014902 | BARTLETT ISD | 0.93 |
| 014903 | BELTON ISD | 0.98 |
| 014905 | HOLLAND ISD | 0.94 |
| 014906 | KILLEEN ISD | 0.98 |
| 014907 | ROGERS ISD | 0.95 |
| 014908 | SALADO ISD | 0.96 |
| 014909 | TEMPLE ISD | 0.97 |
| 014910 | TROY ISD | 0.95 |
| 015901 | ALAMO HEIGHTS ISD | 1.29 |
| 015904 | HARLANDALE ISD | 0.97 |
| 015905 | EDGEWOOD ISD | 0.96 |
| 015907 | SAN ANTONIO ISD | 0.96 |
| 015908 | SOUTH SAN ANTONIO ISD | 0.97 |
| 015909 | SOMERSET ISD | 0.97 |
| 015910 | NORTH EAST ISD | 0.97 |
| 015911 | EAST CENTRAL ISD | 0.99 |
| 015912 | SOUTHWEST ISD | 0.98 |
| 015915 | NORTHSIDE ISD | 0.98 |
| 015916 | JUDSON ISD | 0.98 |
| 015917 | SOUTHSIDE ISD | 0.98 |
| 016901 | JOHNSON CITY ISD | 0.96 |
| 016902 | BLANCO ISD | 0.94 |
| 017901 | BORDEN COUNTY ISD | 2.37 |
| 018901 | CLIFTON ISD | 0.95 |
| 018902 | MERIDIAN ISD | 0.93 |
| 018903 | MORGAN ISD | 0.92 |
| 018904 | VALLEY MILLS ISD | 0.94 |
| 018905 | WALNUT SPRINGS ISD | 0.93 |
| 018906 | IREDELL ISD | 0.92 |
| 018907 | KOPPERL ISD | 0.94 |
| 018908 | CRANFILLS GAP ISD | 0.91 |
| 019901 | DEKALB ISD | 0.93 |
| 019902 | HOOKS ISD | 0.93 |
| 019903 | MAUD ISD | 0.93 |
| 019905 | NEW BOSTON ISD | 0.95 |
| 019906 | REDWATER ISD | 0.95 |
| 019907 | TEXARKANA ISD | 0.95 |
| 019908 | LIBERTY-EYLAU ISD | 0.95 |
| 019909 | SIMMS ISD | 0.92 |
| 019910 | MALTA ISD | 0.92 |
| 019911 | RED LICK ISD | 0.94 |
| 019912 | PLEASANT GROVE ISD | 0.96 |
| 019913 | HUBBARD ISD | 0.92 |
| 019914 | LEARY ISD | 0.92 |
| 020901 | ALVIN ISD | 0.98 |
| 020902 | ANGLETON ISD | 0.98 |
| 020904 | DANBURY ISD | 0.95 |
| 020905 | BRAZOSPORT ISD | 1.14 |
| 020906 | SWEENY ISD | 1.26 |
| 020907 | COLUMBIA-BRAZORIA ISD | 0.98 |
| 020908 | PEARLAND ISD | 1.00 |
| 020910 | DAMON ISD | 0.95 |
| 021901 | COLLEGE STATION ISD | 1.18 |
| 021902 | BRYAN ISD | 0.98 |
| 022004 | TERLINGUA CSD | 0.97 |
| 022901 | ALPINE ISD | 0.94 |
| 022902 | MARATHON ISD | 0.92 |
| 022903 | SAN VICENTE ISD | 0.85 |
| 023902 | SILVERTON ISD | 0.92 |
| 024901 | BROOKS COUNTY ISD | 0.95 |
| 025901 | BANGS ISD | 0.95 |
| 025902 | BROWNWOOD ISD | 0.95 |
| 025904 | BLANKET ISD | 0.92 |
| 025905 | MAY ISD | 0.93 |
| 025906 | ZEPHYR ISD | 0.93 |
| 025908 | BROOKESMITH ISD | 0.94 |
| 025909 | EARLY ISD | 0.95 |
| 026901 | CALDWELL ISD | 0.97 |
| 026902 | SOMERVILLE ISD | 0.94 |
| 026903 | SNOOK ISD | 0.94 |
| 027903 | BURNET CONS ISD | 0.98 |
| 027904 | MARBLE FALLS ISD | 1.04 |
| 028902 | LOCKHART ISD | 0.97 |
| 028903 | LULING ISD | 0.96 |
| 028906 | PRAIRIE LEA ISD | 0.93 |
| 029901 | CALHOUN CO ISD | 1.42 |
| 030901 | CROSS PLAINS ISD | 0.93 |
| 030902 | CLYDE CONS ISD | 0.96 |
| 030903 | BAIRD ISD | 0.91 |
| 030906 | EULA ISD | 0.93 |
| 031901 | BROWNSVILLE ISD | 0.97 |
| 031903 | HARLINGEN CONS ISD | 0.98 |
| 031905 | LA FERIA ISD | 0.98 |
| 031906 | LOS FRESNOS CONS ISD | 0.99 |
| 031909 | POINT ISABEL ISD | 1.31 |
| 031911 | RIO HONDO ISD | 0.97 |
| 031912 | SAN BENITO CONS ISD | 0.98 |
| 031913 | SANTA MARIA ISD | 0.95 |
| 031914 | SANTA ROSA ISD | 0.96 |
| 032902 | PITTSBURG ISD | 0.96 |
| 033901 | GROOM ISD | 0.96 |
| 033902 | PANHANDLE ISD | 0.96 |
| 033904 | WHITE DEER ISD | 1.17 |
| 034901 | ATLANTA ISD | 0.96 |
| 034902 | AVINGER ISD | 0.92 |
| 034903 | HUGHES SPRINGS ISD | 0.94 |
| 034905 | LINDEN-KILDARE CONS ISD | 0.95 |
| 034906 | MCLEOD ISD | 0.94 |
| 034907 | QUEEN CITY ISD | 0.95 |
| 034908 | MARIETTA ISD | 0.91 |
| 034909 | BLOOMBURG ISD | 0.92 |
| 035901 | DIMMITT ISD | 0.94 |
| 035902 | HART ISD | 0.93 |
| 035903 | NAZARETH ISD | 0.95 |
| 036901 | ANAHUAC ISD | 0.97 |
| 036902 | BARBERS HILL ISD | 1.41 |
| 036903 | EAST CHAMBERS ISD | 0.96 |
| 037901 | ALTO ISD | 0.94 |
| 037904 | JACKSONVILLE ISD | 0.98 |
| 037907 | RUSK ISD | 0.98 |
| 037908 | NEW SUMMERFIELD ISD | 0.93 |
| 037909 | WELLS ISD | 0.93 |
| 038901 | CHILDRESS ISD | 0.93 |
| 039901 | BYERS ISD | 0.91 |
| 039902 | HENRIETTA ISD | 0.94 |
| 039903 | PETROLIA ISD | 0.94 |
| 039904 | BELLEVUE ISD | 0.94 |
| 039905 | MIDWAY ISD | 0.93 |
| 040901 | MORTON ISD | 0.93 |
| 040902 | WHITEFACE CONS ISD | 1.49 |
| 041901 | BRONTE ISD | 0.90 |
| 041902 | ROBERT LEE ISD | 0.91 |
| 042901 | COLEMAN ISD | 0.94 |
| 042903 | SANTA ANNA ISD | 0.93 |
| 042905 | PANTHER CREEK CONS ISD | 0.94 |
| 042906 | NOVICE ISD | 0.96 |
| 043901 | ALLEN ISD | 0.98 |
| 043902 | ANNA ISD | 0.96 |
| 043903 | CELINA ISD | 0.98 |
| 043904 | FARMERSVILLE ISD | 0.97 |
| 043905 | FRISCO ISD | 1.32 |
| 043907 | MCKINNEY ISD | 0.97 |
| 043908 | MELISSA ISD | 0.95 |
| 043910 | PLANO ISD | 1.19 |
| 043911 | PRINCETON ISD | 0.97 |
| 043912 | PROSPER ISD | 0.97 |
| 043914 | WYLIE ISD | 0.99 |
| 043917 | BLUE RIDGE ISD | 0.95 |
| 043918 | COMMUNITY ISD | 0.97 |
| 043919 | LOVEJOY ISD | 1.95 |
| 044902 | WELLINGTON ISD | 0.92 |
| 044904 | SAMNORWOOD ISD | 0.90 |
| 045902 | COLUMBUS ISD | 0.96 |
| 045903 | RICE CONS ISD | 0.95 |
| 045905 | WEIMAR ISD | 0.93 |
| 046901 | NEW BRAUNFELS ISD | 0.98 |
| 046902 | COMAL ISD | 1.06 |
| 047901 | COMANCHE ISD | 0.95 |
| 047902 | DE LEON ISD | 0.94 |
| 047903 | GUSTINE ISD | 0.93 |
| 047905 | SIDNEY ISD | 0.91 |
| 048901 | EDEN C I S D | 0.93 |
| 048903 | PAINT ROCK ISD | 0.93 |
| 049901 | GAINESVILLE ISD | 0.96 |
| 049902 | MUENSTER ISD | 0.94 |
| 049903 | VALLEY VIEW ISD | 0.96 |
| 049905 | CALLISBURG ISD | 0.97 |
| 049906 | ERA ISD | 0.95 |
| 049907 | LINDSAY ISD | 0.95 |
| 049908 | WALNUT BEND ISD | 0.93 |
| 049909 | SIVELLS BEND ISD | 1.11 |
| 050901 | EVANT ISD | 0.94 |
| 050902 | GATESVILLE ISD | 0.97 |
| 050904 | OGLESBY ISD | 0.93 |
| 050909 | JONESBORO ISD | 0.95 |
| 050910 | COPPERAS COVE ISD | 0.98 |
| 051901 | PADUCAH ISD | 0.92 |
| 052901 | CRANE ISD | 1.38 |
| 053001 | CROCKETT CO CONS CSD | 2.41 |
| 054901 | CROSBYTON ISD | 0.91 |
| 054902 | LORENZO ISD | 0.94 |
| 054903 | RALLS ISD | 0.93 |
| 055901 | CULBERSON COUNTY-ALLAMOORE ISD | 0.92 |
| 056901 | DALHART ISD | 0.95 |
| 056902 | TEXLINE ISD | 0.98 |
| 057903 | CARROLLTON-FARMERS BRANCH ISD | 1.14 |
| 057904 | CEDAR HILL ISD | 0.97 |
| 057905 | DALLAS ISD | 1.01 |
| 057906 | DESOTO ISD | 0.98 |
| 057907 | DUNCANVILLE ISD | 0.97 |
| 057909 | GARLAND ISD | 0.98 |
| 057910 | GRAND PRAIRIE ISD | 0.97 |
| 057911 | HIGHLAND PARK ISD (Dallas County) | 1.54 |
| 057912 | IRVING ISD | 0.96 |
| 057913 | LANCASTER ISD | 0.96 |
| 057914 | MESQUITE ISD | 0.98 |
| 057916 | RICHARDSON ISD | 1.08 |
| 057919 | SUNNYVALE ISD | 1.44 |
| 057920 | WILMER-HUTCHINS ISD | 0.96 |
| 057922 | COPPELL ISD | 1.20 |
| 058902 | DAWSON ISD | 1.32 |
| 058905 | KLONDIKE ISD | 1.22 |
| 058906 | LAMESA ISD | 0.96 |
| 058909 | SANDS CISD | 0.97 |
| 059901 | HEREFORD ISD | 0.96 |
| 059902 | WALCOTT ISD | 1.01 |
| 060902 | COOPER ISD | 0.95 |
| 060914 | FANNINDEL ISD | 0.95 |
| 061901 | DENTON ISD | 0.98 |
| 061902 | LEWISVILLE ISD | 1.04 |
| 061903 | PILOT POINT ISD | 0.97 |
| 061905 | KRUM ISD | 0.96 |
| 061906 | PONDER ISD | 0.96 |
| 061907 | AUBREY ISD | 0.97 |
| 061908 | SANGER ISD | 0.96 |
| 061910 | ARGYLE ISD | 1.22 |
| 061911 | NORTHWEST ISD | 1.31 |
| 061912 | LAKE DALLAS ISD | 0.97 |
| 061914 | LITTLE ELM ISD | 0.98 |
| 062901 | CUERO ISD | 0.97 |
| 062902 | NORDHEIM ISD | 0.89 |
| 062903 | YOAKUM ISD | 0.96 |
| 062904 | YORKTOWN ISD | 0.95 |
| 062905 | WESTHOFF ISD | 0.91 |
| 062906 | MEYERSVILLE ISD | 0.95 |
| 063903 | SPUR ISD | 0.92 |
| 063906 | PATTON SPRINGS ISD | 0.92 |
| 064903 | CARRIZO SPRINGS CONS ISD | 0.98 |
| 065901 | CLARENDON ISD | 0.92 |
| 065902 | HEDLEY ISD | 0.93 |
| 066005 | RAMIREZ CSD | 0.98 |
| 066901 | BENAVIDES ISD | 0.92 |
| 066902 | SAN DIEGO ISD | 0.96 |
| 066903 | FREER ISD | 0.93 |
| 067902 | CISCO ISD | 0.93 |
| 067903 | EASTLAND ISD | 0.95 |
| 067904 | GORMAN ISD | 0.92 |
| 067907 | RANGER ISD | 0.93 |
| 067908 | RISING STAR ISD | 0.92 |
| 068901 | ECTOR COUNTY ISD | 0.98 |
| 069901 | ROCKSPRINGS ISD | 0.97 |
| 069902 | NUECES CANYON CISD | 0.91 |
| 070901 | AVALON ISD | 0.93 |
| 070903 | ENNIS ISD | 0.97 |
| 070905 | FERRIS ISD | 0.98 |
| 070907 | ITALY ISD | 0.94 |
| 070908 | MIDLOTHIAN ISD | 0.98 |
| 070909 | MILFORD ISD | 0.93 |
| 070910 | PALMER ISD | 0.95 |
| 070911 | RED OAK ISD | 0.98 |
| 070912 | WAXAHACHIE ISD | 0.97 |
| 070915 | MAYPEARL ISD | 0.95 |
| 071901 | CLINT ISD | 0.98 |
| 071902 | EL PASO ISD | 0.98 |
| 071903 | FABENS ISD | 0.96 |
| 071904 | SAN ELIZARIO ISD | 0.96 |
| 071905 | YSLETA ISD | 0.97 |
| 071906 | ANTHONY | 0.93 |
| 071907 | CANUTILLO ISD | 0.97 |
| 071908 | TORNILLO ISD | 0.96 |
| 071909 | SOCORRO ISD | 0.98 |
| 072901 | THREE WAY ISD | 0.96 |
| 072902 | DUBLIN ISD | 0.95 |
| 072903 | STEPHENVILLE | 0.97 |
| 072904 | BLUFF DALE ISD | 1.38 |
| 072908 | HUCKABAY ISD | 0.93 |
| 072909 | LINGLEVILLE ISD | 0.93 |
| 072910 | MORGAN MILL ISD | 0.94 |
| 073901 | CHILTON ISD | 0.93 |
| 073903 | MARLIN ISD | 0.95 |
| 073904 | WESTPHALIA ISD | 0.94 |
| 073905 | ROSEBUD-LOTT ISD | 0.94 |
| 074903 | BONHAM ISD | 0.96 |
| 074904 | DODD CITY ISD | 0.94 |
| 074905 | ECTOR ISD | 0.93 |
| 074907 | HONEY GROVE ISD | 0.94 |
| 074909 | LEONARD ISD | 0.95 |
| 074911 | SAVOY ISD | 0.93 |
| 074912 | TRENTON ISD | 0.95 |
| 074917 | SAM RAYBURN ISD | 0.95 |
| 075901 | FLATONIA ISD | 0.95 |
| 075902 | LA GRANGE ISD | 0.97 |
| 075903 | SCHULENBURG ISD | 0.94 |
| 075906 | FAYETTEVILLE ISD | 1.05 |
| 075908 | ROUND TOP-CARMINE ISD | 1.28 |
| 076903 | ROBY CONS ISD | 0.92 |
| 076904 | ROTAN ISD | 0.91 |
| 077901 | FLOYDADA ISD | 0.94 |
| 077902 | LOCKNEY ISD | 0.94 |
| 078901 | CROWELL ISD | 0.91 |
| 079901 | LAMAR CONSOLIDATED ISD | 0.99 |
| 079906 | NEEDVILLE ISD | 0.98 |
| 079907 | FORT BEND ISD | 0.99 |
| 079908 | KENDLETON ISD | 0.96 |
| 079910 | STAFFORD MUNICIPAL SCHOOL DISTRICT | 1.19 |
| 080901 | MOUNT VERNON ISD | 0.99 |
| 081902 | FAIRFIELD ISD | 1.34 |
| 081904 | TEAGUE ISD | 1.30 |
| 081905 | WORTHAM ISD | 0.94 |
| 081906 | DEW ISD | 2.34 |
| 082902 | DILLEY ISD | 0.93 |
| 082903 | PEARSALL ISD | 0.96 |
| 083901 | SEAGRAVES ISD | 0.94 |
| 083902 | LOOP ISD | 1.78 |
| 083903 | SEMINOLE ISD | 1.49 |
| 084901 | DICKINSON ISD | 0.98 |
| 084902 | GALVESTON ISD | 0.97 |
| 084903 | HIGH ISLAND ISD | 0.94 |
| 084904 | LA MARQUE ISD | 0.96 |
| 084906 | TEXAS CITY ISD | 1.05 |
| 084908 | HITCHCOCK ISD | 0.95 |
| 084909 | SANTA FE ISD | 0.99 |
| 084910 | CLEAR CREEK ISD | 0.99 |
| 084911 | FRIENDSWOOD ISD | 0.99 |
| 085902 | POST ISD | 0.93 |
| 085903 | SOUTHLAND ISD | 0.94 |
| 086024 | DOSS CONS CSD | 1.25 |
| 086901 | FREDERICKSBURG ISD | 1.03 |
| 086902 | HARPER ISD | 0.93 |
| 087901 | GLASSCOCK COUNTY ISD | 1.29 |
| 088902 | GOLIAD ISD | 0.96 |
| 089901 | GONZALES ISD | 0.96 |
| 089903 | NIXON-SMILEY CONS ISD | 0.95 |
| 089905 | WAELDER ISD | 0.93 |
| 090902 | LEFORS ISD | 0.96 |
| 090903 | MCLEAN ISD | 1.02 |
| 090904 | PAMPA ISD | 0.96 |
| 090905 | GRANDVIEW-HOPKINS ISD | 2.10 |
| 091901 | BELLS ISD | 0.95 |
| 091902 | COLLINSVILLE ISD | 0.94 |
| 091903 | DENISON ISD | 0.96 |
| 091905 | HOWE ISD | 0.95 |
| 091906 | SHERMAN ISD | 0.97 |
| 091907 | TIOGA ISD | 0.94 |
| 091908 | VAN ALSTYNE ISD | 0.98 |
| 091909 | WHITESBORO ISD | 0.96 |
| 091910 | WHITEWRIGHT ISD | 0.95 |
| 091913 | POTTSBORO ISD | 0.96 |
| 091914 | S AND S CONS ISD | 0.96 |
| 091917 | GUNTER ISD | 0.97 |
| 091918 | TOM BEAN ISD | 0.96 |
| 092901 | GLADEWATER ISD | 0.96 |
| 092902 | KILGORE ISD | 0.97 |
| 092903 | LONGVIEW ISD | 0.96 |
| 092904 | PINE TREE ISD | 0.97 |
| 092906 | SABINE ISD | 0.96 |
| 092907 | SPRING HILL ISD | 0.97 |
| 092908 | WHITE OAK ISD | 0.96 |
| 093901 | ANDERSON-SHIRO CONS ISD | 1.13 |
| 093903 | IOLA ISD | 0.95 |
| 093904 | NAVASOTA ISD | 0.98 |
| 093905 | RICHARDS ISD | 0.93 |
| 094901 | SEGUIN ISD | 0.97 |
| 094902 | SCHERTZ-CIBOLO-U CITY ISD | 0.99 |
| 094903 | NAVARRO ISD | 0.97 |
| 094904 | MARION ISD | 0.96 |
| 095901 | ABERNATHY ISD | 0.94 |
| 095902 | COTTON CENTER ISD | 0.93 |
| 095903 | HALE CENTER ISD | 0.93 |
| 095904 | PETERSBURG ISD | 0.93 |
| 095905 | PLAINVIEW ISD | 0.97 |
| 096904 | MEMPHIS ISD | 0.91 |
| 096905 | TURKEY-QUITAQUE ISD | 0.92 |
| 097902 | HAMILTON ISD | 0.93 |
| 097903 | HICO ISD | 0.94 |
| 098901 | GRUVER ISD | 0.92 |
| 098903 | PRINGLE-MORSE CONS ISD | 1.27 |
| 098904 | SPEARMAN ISD | 0.94 |
| 099902 | CHILLICOTHE ISD | 0.93 |
| 099903 | QUANAH ISD | 0.91 |
| 100903 | KOUNTZE ISD | 0.97 |
| 100904 | SILSBEE ISD | 0.97 |
| 100905 | HARDIN-JEFFERSON ISD | 0.98 |
| 100907 | LUMBERTON ISD | 0.98 |
| 100908 | WEST HARDIN COUNTY CONS ISD | 0.96 |
| 101902 | ALDINE ISD | 0.99 |
| 101903 | ALIEF ISD | 0.98 |
| 101905 | CHANNELVIEW ISD | 0.97 |
| 101906 | CROSBY ISD | 0.99 |
| 101907 | CYPRESS-FAIRBANKS ISD | 0.99 |
| 101908 | DEER PARK ISD | 1.21 |
| 101909 | NORTH FOREST ISD | 0.98 |
| 101910 | GALENA PARK ISD | 0.97 |
| 101911 | GOOSE CREEK CISD | 1.04 |
| 101912 | HOUSTON ISD | 0.97 |
| 101913 | HUMBLE ISD | 0.99 |
| 101914 | KATY ISD | 0.99 |
| 101915 | KLEIN ISD | 0.99 |
| 101916 | LA PORTE ISD | 1.18 |
| 101917 | PASADENA ISD | 0.98 |
| 101919 | SPRING ISD | 0.99 |
| 101920 | SPRING BRANCH ISD | 1.08 |
| 101921 | TOMBALL ISD | 1.00 |
| 101924 | SHELDON ISD | 1.05 |
| 101925 | HUFFMAN ISD | 0.99 |
| 102901 | KARNACK ISD | 0.93 |
| 102902 | MARSHALL ISD | 0.97 |
| 102903 | WASKOM ISD | 0.93 |
| 102904 | HALLSVILLE ISD | 1.05 |
| 102905 | HARLETON ISD | 0.95 |
| 102906 | ELYSIAN FIELDS ISD | 0.95 |
| 103901 | CHANNING ISD | 1.08 |
| 103902 | HARTLEY ISD | 0.92 |
| 104901 | HASKELL CISD | 0.91 |
| 104902 | ROCHESTER COUNTY LINE ISD | 0.90 |
| 104903 | RULE ISD | 0.94 |
| 104907 | PAINT CREEK ISD | 0.92 |
| 105902 | SAN MARCOS CONS ISD | 0.98 |
| 105904 | DRIPPING SPRINGS ISD | 1.03 |
| 105905 | WIMBERLEY ISD | 1.17 |
| 105906 | HAYS CONS ISD | 1.00 |
| 106901 | CANADIAN ISD | 1.15 |
| 107901 | ATHENS ISD | 0.97 |
| 107902 | BROWNSBORO ISD | 0.97 |
| 107904 | CROSS ROADS ISD | 0.94 |
| 107905 | EUSTACE ISD | 0.95 |
| 107906 | MALAKOFF ISD | 1.14 |
| 107907 | TRINIDAD ISD | 0.92 |
| 107908 | MURCHISON ISD | 0.92 |
| 107910 | LAPOYNOR ISD | 1.08 |
| 108902 | DONNA ISD | 0.98 |
| 108903 | EDCOUCH-ELSA ISD | 0.97 |
| 108904 | EDINBURG CONSOLIDATED | 0.98 |
| 108905 | HIDALGO ISD | 0.97 |
| 108906 | MCALLEN ISD | 0.98 |
| 108907 | MERCEDES ISD | 0.98 |
| 108908 | MISSION CONS ISD | 0.99 |
| 108909 | PHARR-SAN JUAN-ALAMO ISD | 0.98 |
| 108910 | PROGRESO ISD | 0.96 |
| 108911 | SHARYLAND ISD | 0.99 |
| 108912 | LA JOYA ISD | 0.99 |
| 108913 | WESLACO ISD | 0.98 |
| 108914 | LA VILLA ISD | 0.94 |
| 108915 | MONTE ALTO ISD | 0.95 |
| 108916 | VALLEY VIEW ISD | 0.97 |
| 109901 | ABBOTT ISD | 0.94 |
| 109902 | BYNUM ISD | 0.94 |
| 109903 | COVINGTON ISD | 0.95 |
| 109904 | HILLSBORO ISD | 0.95 |
| 109905 | HUBBARD ISD | 0.94 |
| 109907 | ITASCA ISD | 0.93 |
| 109908 | MALONE ISD | 0.92 |
| 109910 | MOUNT CALM ISD | 0.95 |
| 109911 | WHITNEY ISD | 0.96 |
| 109912 | AQUILLA ISD | 0.94 |
| 109913 | BLUM ISD | 0.94 |
| 109914 | PENELOPE ISD | 0.95 |
| 110901 | ANTON ISD | 0.93 |
| 110902 | LEVELLAND ISD | 0.96 |
| 110905 | ROPES ISD | 0.94 |
| 110906 | SMYER ISD | 0.93 |
| 110907 | SUNDOWN ISD | 2.13 |
| 110908 | WHITHARRAL ISD | 0.94 |
| 111901 | GRANBURY ISD | 0.98 |
| 111902 | LIPAN ISD | 0.94 |
| 111903 | TOLAR ISD | 0.95 |
| 112901 | SULPHUR SPRINGS ISD | 0.97 |
| 112905 | CUMBY ISD | 0.92 |
| 112906 | NORTH HOPKINS ISD | 0.93 |
| 112907 | MILLER GROVE ISD | 0.95 |
| 112908 | COMO-PICKTON CISD | 0.95 |
| 112909 | SALTILLO ISD | 0.93 |
| 112910 | SULPHUR BLUFF ISD | 0.94 |
| 113901 | CROCKETT ISD | 0.95 |
| 113902 | GRAPELAND ISD | 0.94 |
| 113903 | LOVELADY ISD | 0.94 |
| 113905 | LATEXO ISD | 0.94 |
| 113906 | KENNARD ISD | 0.92 |
| 114901 | BIG SPRING ISD | 0.97 |
| 114902 | COAHOMA ISD | 0.94 |
| 114904 | FORSAN ISD | 0.95 |
| 115901 | FT HANCOCK ISD | 0.94 |
| 115902 | SIERRA BLANCA ISD | 0.91 |
| 115903 | DELL CITY ISD | 0.93 |
| 116901 | CADDO MILLS ISD | 0.96 |
| 116902 | CELESTE ISD | 0.94 |
| 116903 | COMMERCE ISD | 0.95 |
| 116905 | GREENVILLE ISD | 0.97 |
| 116906 | LONE OAK ISD | 0.94 |
| 116908 | QUINLAN ISD | 0.97 |
| 116909 | WOLFE CITY ISD | 0.94 |
| 116910 | CAMPBELL ISD | 0.94 |
| 116915 | BLAND ISD | 0.95 |
| 116916 | BOLES ISD | 0.93 |
| 117901 | BORGER ISD | 0.96 |
| 117903 | SANFORD ISD | 0.95 |
| 117904 | PLEMONS-STINNETT-PHILLIPS CONS ISD | 1.28 |
| 117907 | SPRING CREEK ISD | 0.93 |
| 118902 | IRION CO ISD | 1.08 |
| 119901 | BRYSON ISD | 0.93 |
| 119902 | JACKSBORO ISD | 0.93 |
| 119903 | PERRIN-WHITT CONS ISD | 0.95 |
| 120901 | EDNA ISD | 0.96 |
| 120902 | GANADO ISD | 0.95 |
| 120905 | INDUSTRIAL ISD | 0.97 |
| 121902 | BROOKELAND ISD | 0.95 |
| 121903 | BUNA ISD | 0.98 |
| 121904 | JASPER ISD | 0.97 |
| 121905 | KIRBYVILLE CISD | 0.96 |
| 121906 | EVADALE ISD | 1.29 |
| 122901 | FT DAVIS ISD | 0.89 |
| 122902 | VALENTINE ISD | 0.90 |
| 123905 | NEDERLAND ISD | 0.97 |
| 123907 | PORT ARTHUR ISD | 0.97 |
| 123908 | PORT NECHES-GROVES ISD | 1.20 |
| 123910 | BEAUMONT ISD | 0.98 |
| 123913 | SABINE PASS ISD | 1.49 |
| 123914 | HAMSHIRE-FANNETT ISD | 0.98 |
| 124901 | JIM HOGG COUNTY ISD | 0.94 |
| 125901 | ALICE ISD | 0.98 |
| 125902 | BEN BOLT-PALITO BLANCO ISD | 0.95 |
| 125903 | ORANGE GROVE ISD | 0.97 |
| 125905 | PREMONT ISD | 0.94 |
| 125906 | LA GLORIA ISD | 0.94 |
| 126901 | ALVARADO ISD | 0.98 |
| 126902 | BURLESON ISD | 0.98 |
| 126903 | CLEBURNE ISD | 0.98 |
| 126904 | GRANDVIEW ISD | 0.99 |
| 126905 | JOSHUA ISD | 0.98 |
| 126906 | KEENE ISD | 0.93 |
| 126907 | RIO VISTA ISD | 0.95 |
| 126908 | VENUS ISD | 0.97 |
| 126911 | GODLEY ISD | 0.95 |
| 127901 | ANSON ISD | 0.93 |
| 127903 | HAMLIN ISD | 0.92 |
| 127904 | HAWLEY ISD | 0.94 |
| 127905 | LUEDERS-AVOCA ISD | 0.92 |
| 127906 | STAMFORD ISD | 0.93 |
| 128901 | KARNES CITY ISD | 0.93 |
| 128902 | KENEDY ISD | 0.95 |
| 128903 | RUNGE ISD | 0.92 |
| 128904 | FALLS CITY ISD | 0.95 |
| 129901 | CRANDALL ISD | 0.97 |
| 129902 | FORNEY ISD | 0.99 |
| 129903 | KAUFMAN ISD | 0.98 |
| 129904 | KEMP ISD | 0.98 |
| 129905 | MABANK ISD | 0.97 |
| 129906 | TERRELL ISD | 0.97 |
| 129910 | SCURRY-ROSSER ISD | 0.95 |
| 130901 | BOERNE ISD | 1.14 |
| 130902 | COMFORT ISD | 0.95 |
| 131001 | KENEDY COUNTY WIDE CSD | 2.91 |
| 132902 | JAYTON-GIRARD ISD | 1.99 |
| 133901 | CENTER POINT ISD | 0.95 |
| 133902 | HUNT ISD | 1.80 |
| 133903 | KERRVILLE ISD | 0.97 |
| 133904 | INGRAM ISD | 0.95 |
| 133905 | DIVIDE ISD | 1.01 |
| 134901 | JUNCTION ISD | 0.93 |
| 135001 | GUTHRIE CSD | 2.00 |
| 136901 | BRACKETT ISD | 0.93 |
| 137901 | KINGSVILLE ISD | 0.96 |
| 137902 | RICARDO ISD | 0.97 |
| 137903 | RIVIERA ISD | 0.92 |
| 137904 | SANTA GERTRUDIS ISD | 1.09 |
| 138902 | KNOX CITY-O'BRIEN CISD | 0.93 |
| 138903 | MUNDAY CISD | 0.94 |
| 138904 | BENJAMIN ISD | 0.92 |
| 139905 | CHISUM ISD | 1.11 |
| 139908 | ROXTON ISD | 0.93 |
| 139909 | PARIS ISD | 0.96 |
| 139911 | NORTH LAMAR ISD | 0.98 |
| 139912 | PRAIRILAND ISD | 0.95 |
| 140901 | AMHERST ISD | 0.93 |
| 140904 | LITTLEFIELD ISD | 0.96 |
| 140905 | OLTON ISD | 0.94 |
| 140906 | SPADE ISD | 0.92 |
| 140907 | SPRINGLAKE-EARTH ISD | 0.94 |
| 140908 | SUDAN ISD | 1.54 |
| 141901 | LAMPASAS ISD | 0.98 |
| 141902 | LOMETA ISD | 0.92 |
| 142901 | COTULLA ISD | 0.96 |
| 143901 | HALLETTSVILLE ISD | 1.03 |
| 143902 | MOULTON ISD | 0.94 |
| 143903 | SHINER ISD | 0.94 |
| 143904 | VYSEHRAD ISD | 0.93 |
| 143905 | SWEET HOME ISD | 0.95 |
| 143906 | EZZELL ISD | 1.59 |
| 144901 | GIDDINGS ISD | 0.96 |
| 144902 | LEXINGTON ISD | 0.96 |
| 144903 | DIME BOX ISD | 0.93 |
| 145901 | BUFFALO ISD | 0.94 |
| 145902 | CENTERVILLE ISD | 0.94 |
| 145906 | NORMANGEE ISD | 0.95 |
| 145907 | OAKWOOD ISD | 0.94 |
| 145911 | LEON ISD | 1.05 |
| 146901 | CLEVELAND ISD | 0.98 |
| 146902 | DAYTON ISD | 0.99 |
| 146903 | DEVERS ISD | 1.88 |
| 146904 | HARDIN ISD | 0.98 |
| 146905 | HULL-DAISETTA ISD | 0.95 |
| 146906 | LIBERTY ISD | 0.97 |
| 146907 | TARKINGTON ISD | 0.99 |
| 147901 | COOLIDGE ISD | 0.92 |
| 147902 | GROESBECK ISD | 1.14 |
| 147903 | MEXIA ISD | 0.95 |
| 148901 | BOOKER ISD | 0.93 |
| 148902 | FOLLETT ISD | 1.04 |
| 148903 | HIGGINS ISD | 1.00 |
| 148905 | DARROUZETT ISD | 1.88 |
| 149901 | GEORGE WEST ISD | 0.95 |
| 149902 | THREE RIVERS ISD | 1.00 |
| 150901 | LLANO ISD | 1.25 |
| 152901 | LUBBOCK ISD | 0.97 |
| 152902 | NEW DEAL ISD | 0.94 |
| 152903 | SLATON ISD | 0.95 |
| 152906 | LUBBOCK-COOPER ISD | 0.96 |
| 152907 | FRENSHIP ISD | 0.98 |
| 152908 | ROOSEVELT ISD | 0.95 |
| 152909 | SHALLOWATER ISD | 0.96 |
| 152910 | IDALOU ISD | 0.94 |
| 153903 | O'DONNELL ISD | 0.92 |
| 153904 | TAHOKA ISD | 0.92 |
| 153905 | NEW HOME ISD | 0.94 |
| 153907 | WILSON ISD | 0.94 |
| 154901 | MADISONVILLE CONS ISD | 0.96 |
| 154903 | NORTH ZULCH ISD | 0.94 |
| 155901 | JEFFERSON ISD | 0.95 |
| 156902 | STANTON ISD | 0.93 |
| 156905 | GRADY ISD | 1.16 |
| 157901 | MASON ISD | 0.93 |
| 158901 | BAY CITY ISD | 0.97 |
| 158902 | TIDEHAVEN ISD | 0.95 |
| 158904 | MATAGORDA ISD | 2.01 |
| 158905 | PALACIOS ISD | 1.13 |
| 158906 | VAN VLECK ISD | 0.95 |
| 159901 | EAGLE PASS ISD | 0.97 |
| 160901 | BRADY ISD | 0.94 |
| 160904 | ROCHELLE ISD | 0.91 |
| 160905 | LOHN ISD | 0.90 |
| 161901 | CRAWFORD ISD | 0.95 |
| 161903 | MIDWAY ISD | 1.12 |
| 161906 | LA VEGA ISD | 0.96 |
| 161907 | LORENA ISD | 0.95 |
| 161908 | MART ISD | 0.94 |
| 161909 | MCGREGOR ISD | 0.96 |
| 161910 | MOODY ISD | 0.94 |
| 161912 | RIESEL ISD | 0.94 |
| 161914 | WACO ISD | 0.96 |
| 161916 | WEST ISD | 0.94 |
| 161918 | AXTELL ISD | 0.90 |
| 161919 | BRUCEVILLE-EDDY ISD | 1.08 |
| 161920 | CHINA SPRING ISD | 0.95 |
| 161921 | CONNALLY ISD | 0.96 |
| 161922 | ROBINSON ISD | 0.97 |
| 161923 | BOSQUEVILLE ISD | 0.93 |
| 161924 | HALLSBURG ISD | 1.25 |
| 161925 | GHOLSON ISD | 0.96 |
| 162904 | MCMULLEN COUNTY ISD | 1.61 |
| 163901 | DEVINE ISD | 0.96 |
| 163902 | D'HANIS ISD | 0.92 |
| 163903 | NATALIA ISD | 0.96 |
| 163904 | HONDO ISD | 0.97 |
| 163908 | MEDINA VALLEY ISD | 0.98 |
| 164901 | MENARD ISD | 0.92 |
| 165901 | MIDLAND ISD | 0.98 |
| 165902 | GREENWOOD ISD | 0.97 |
| 166901 | CAMERON ISD | 0.96 |
| 166902 | GAUSE ISD | 0.94 |
| 166903 | MILANO ISD | 0.95 |
| 166904 | ROCKDALE ISD | 0.95 |
| 166905 | THORNDALE ISD | 0.94 |
| 166907 | BUCKHOLTS ISD | 0.92 |
| 167901 | GOLDTHWAITE ISD | 0.92 |
| 167902 | MULLIN ISD | 0.89 |
| 167903 | STAR ISD | 0.87 |
| 167904 | PRIDDY ISD | 0.90 |
| 168901 | COLORADO ISD | 0.93 |
| 168902 | LORAINE ISD | 0.94 |
| 168903 | WESTBROOK ISD | 1.74 |
| 169901 | BOWIE ISD | 0.97 |
| 169902 | NOCONA ISD | 0.94 |
| 169906 | GOLD BURG ISD | 0.91 |
| 169908 | MONTAGUE ISD | 0.91 |
| 169909 | PRAIRIE VALLEY ISD | 0.93 |
| 169910 | FORESTBURG ISD | 0.94 |
| 169911 | SAINT JO ISD | 0.93 |
| 170902 | CONROE ISD | 1.00 |
| 170903 | MONTGOMERY ISD | 1.18 |
| 170904 | WILLIS ISD | 0.99 |
| 170906 | MAGNOLIA ISD | 1.00 |
| 170907 | SPLENDORA ISD | 0.99 |
| 170908 | NEW CANEY ISD | 0.99 |
| 171901 | DUMAS ISD | 0.96 |
| 171902 | SUNRAY ISD | 0.96 |
| 172902 | DAINGERFIELD-LONE STAR ISD | 1.03 |
| 172905 | PEWITT ISD | 0.95 |
| 173901 | MOTLEY COUNTY ISD | 0.92 |
| 174901 | CHIRENO ISD | 0.94 |
| 174902 | CUSHING ISD | 0.93 |
| 174903 | GARRISON ISD | 0.95 |
| 174904 | NACOGDOCHES ISD | 0.98 |
| 174906 | WODEN ISD | 0.96 |
| 174908 | CENTRAL HEIGHTS ISD | 0.94 |
| 174909 | MARTINSVILLE ISD | 0.94 |
| 174910 | ETOILE ISD | 0.94 |
| 174911 | DOUGLASS ISD | 0.94 |
| 175902 | BLOOMING GROVE ISD | 0.95 |
| 175903 | CORSICANA ISD | 0.97 |
| 175904 | DAWSON ISD | 0.94 |
| 175905 | FROST ISD | 0.94 |
| 175907 | KERENS ISD | 0.94 |
| 175910 | MILDRED ISD | 0.94 |
| 175911 | RICE ISD | 0.93 |
| 176901 | BURKEVILLE ISD | 0.90 |
| 176902 | NEWTON ISD | 0.96 |
| 176903 | DEWEYVILLE ISD | 0.94 |
| 177901 | ROSCOE ISD | 0.93 |
| 177902 | SWEETWATER ISD | 0.95 |
| 177903 | BLACKWELL CONS ISD | 1.09 |
| 177905 | HIGHLAND ISD | 0.95 |
| 178901 | AGUA DULCE ISD | 0.94 |
| 178902 | BISHOP CONS ISD | 0.97 |
| 178903 | CALALLEN ISD | 0.97 |
| 178904 | CORPUS CHRISTI ISD | 0.97 |
| 178905 | DRISCOLL ISD | 0.95 |
| 178906 | LONDON ISD | 0.94 |
| 178908 | PORT ARANSAS ISD | 1.44 |
| 178909 | ROBSTOWN ISD | 0.96 |
| 178912 | TULOSO-MIDWAY ISD | 0.96 |
| 178913 | BANQUETE ISD | 0.93 |
| 178914 | FLOUR BLUFF ISD | 0.98 |
| 178915 | WEST OSO ISD | 0.95 |
| 179901 | PERRYTON ISD | 0.96 |
| 180902 | VEGA ISD | 0.93 |
| 180903 | ADRIAN ISD | 0.93 |
| 180904 | WILDORADO ISD | 0.95 |
| 181901 | BRIDGE CITY ISD | 0.97 |
| 181905 | ORANGEFIELD ISD | 0.97 |
| 181906 | WEST ORANGE-COVE CONS ISD | 1.06 |
| 181907 | VIDOR ISD | 0.97 |
| 181908 | LITTLE CYPRESS-MAURICEVILLE CISD | 0.98 |
| 182901 | GORDON ISD | 0.94 |
| 182902 | GRAFORD ISD | 1.19 |
| 182903 | MINERAL WELLS ISD | 0.96 |
| 182904 | SANTO ISD | 0.95 |
| 182905 | STRAWN ISD | 0.92 |
| 182906 | PALO PINTO ISD | 2.15 |
| 183901 | BECKVILLE ISD | 1.63 |
| 183902 | CARTHAGE ISD | 1.41 |
| 183904 | GARY ISD | 0.94 |
| 184901 | POOLVILLE ISD | 0.95 |
| 184902 | SPRINGTOWN ISD | 0.98 |
| 184903 | WEATHERFORD ISD | 0.99 |
| 184904 | MILLSAP ISD | 0.94 |
| 184907 | ALEDO ISD | 1.00 |
| 184908 | PEASTER ISD | 0.96 |
| 184909 | BROCK ISD | 0.96 |
| 184911 | GARNER ISD | 0.99 |
| 185901 | BOVINA ISD | 0.93 |
| 185902 | FARWELL ISD | 0.94 |
| 185903 | FRIONA ISD | 0.94 |
| 185904 | LAZBUDDIE ISD | 0.93 |
| 186901 | BUENA VISTA ISD | 1.36 |
| 186902 | FT STOCKTON ISD | 1.20 |
| 186903 | IRAAN-SHEFFIELD ISD | 1.36 |
| 187901 | BIG SANDY ISD | 1.03 |
| 187903 | GOODRICH ISD | 0.92 |
| 187904 | CORRIGAN-CAMDEN ISD | 0.95 |
| 187906 | LEGGETT ISD | 0.93 |
| 187907 | LIVINGSTON ISD | 0.97 |
| 187910 | ONALASKA ISD | 0.94 |
| 188901 | AMARILLO ISD | 0.97 |
| 188902 | RIVER ROAD ISD | 0.97 |
| 188903 | HIGHLAND PARK ISD (Potter County) | 1.28 |
| 188904 | BUSHLAND ISD | 1.55 |
| 189901 | MARFA ISD | 0.91 |
| 189902 | PRESIDIO ISD | 0.96 |
| 190903 | RAINS ISD | 0.96 |
| 191901 | CANYON ISD | 0.98 |
| 192901 | REAGAN COUNTY ISD | 1.04 |
| 193902 | LEAKEY ISD | 0.93 |
| 194902 | AVERY ISD | 0.94 |
| 194903 | RIVERCREST ISD | 0.96 |
| 194904 | CLARKSVILLE ISD | 0.94 |
| 194905 | DETROIT ISD | 0.94 |
| 195901 | PECOS-BARSTOW-TOYAH ISD | 0.96 |
| 195902 | BALMORHEA ISD | 0.92 |
| 196901 | AUSTWELL-TIVOLI ISD | 1.50 |
| 196902 | WOODSBORO ISD | 0.93 |
| 196903 | REFUGIO ISD | 0.92 |
| 197902 | MIAMI ISD | 1.33 |
| 198901 | BREMOND ISD | 1.17 |
| 198902 | CALVERT ISD | 0.92 |
| 198903 | FRANKLIN ISD | 0.95 |
| 198905 | HEARNE ISD | 0.94 |
| 198906 | MUMFORD ISD | 0.94 |
| 199901 | ROCKWALL ISD | 1.01 |
| 199902 | ROYSE CITY ISD | 0.98 |
| 200901 | BALLINGER ISD | 0.94 |
| 200902 | MILES ISD | 0.93 |
| 200904 | WINTERS ISD | 0.92 |
| 200906 | OLFEN ISD | 0.92 |
| 201902 | HENDERSON ISD | 0.96 |
| 201903 | LANEVILLE ISD | 0.93 |
| 201904 | LEVERETTS CHAPEL ISD | 0.93 |
| 201907 | MOUNT ENTERPRISE ISD | 0.94 |
| 201908 | OVERTON ISD | 0.93 |
| 201910 | TATUM ISD | 1.34 |
| 201913 | CARLISLE ISD | 0.94 |
| 201914 | WEST RUSK ISD | 0.95 |
| 202903 | HEMPHILL ISD | 0.94 |
| 202905 | WEST SABINE ISD | 0.93 |
| 203901 | SAN AUGUSTINE ISD | 0.95 |
| 203902 | BROADDUS ISD | 0.94 |
| 204901 | COLDSPRING-OAKHURST CONS ISD | 0.98 |
| 204904 | SHEPHERD ISD | 0.97 |
| 205901 | ARANSAS PASS ISD | 0.96 |
| 205902 | GREGORY-PORTLAND ISD | 0.97 |
| 205903 | INGLESIDE ISD | 1.10 |
| 205904 | MATHIS ISD | 0.96 |
| 205905 | ODEM-EDROY ISD | 0.96 |
| 205906 | SINTON ISD | 0.97 |
| 205907 | TAFT ISD | 0.95 |
| 206901 | SAN SABA ISD | 0.92 |
| 206902 | RICHLAND SPRINGS ISD | 0.92 |
| 206903 | CHEROKEE ISD | 0.91 |
| 207901 | SCHLEICHER ISD | 0.93 |
| 208901 | HERMLEIGH ISD | 0.94 |
| 208902 | SNYDER ISD | 0.96 |
| 208903 | IRA ISD | 0.96 |
| 209901 | ALBANY ISD | 0.92 |
| 209902 | MORAN ISD | 0.89 |
| 210901 | CENTER ISD | 0.97 |
| 210902 | JOAQUIN ISD | 0.94 |
| 210903 | SHELBYVILLE ISD | 0.95 |
| 210904 | TENAHA ISD | 0.93 |
| 210905 | TIMPSON ISD | 0.94 |
| 210906 | EXCELSIOR ISD | 0.90 |
| 211901 | TEXHOMA ISD | 1.02 |
| 211902 | STRATFORD ISD | 1.01 |
| 212901 | ARP ISD | 0.95 |
| 212902 | BULLARD ISD | 0.96 |
| 212903 | LINDALE ISD | 0.96 |
| 212904 | TROUP ISD | 0.96 |
| 212905 | TYLER ISD | 0.97 |
| 212906 | WHITEHOUSE ISD | 0.98 |
| 212909 | CHAPEL HILL ISD | 0.98 |
| 212910 | WINONA ISD | 0.96 |
| 213901 | GLEN ROSE ISD | 2.06 |
| 214901 | RIO GRANDE CITY CISD | 0.98 |
| 214902 | SAN ISIDRO ISD | 1.00 |
| 214903 | ROMA ISD | 0.99 |
| 215901 | BRECKENRIDGE ISD | 0.95 |
| 216901 | STERLING CITY ISD | 1.22 |
| 217901 | ASPERMONT ISD | 0.93 |
| 218901 | SONORA ISD | 1.10 |
| 219901 | HAPPY ISD | 0.93 |
| 219903 | TULIA ISD | 0.94 |
| 219905 | KRESS ISD | 0.94 |
| 220901 | ARLINGTON ISD | 0.98 |
| 220902 | BIRDVILLE ISD | 0.97 |
| 220904 | EVERMAN ISD | 0.96 |
| 220905 | FORT WORTH ISD | 0.98 |
| 220906 | GRAPEVINE-COLLEYVILLE ISD | 1.22 |
| 220907 | KELLER ISD | 0.99 |
| 220908 | MANSFIELD ISD | 0.99 |
| 220910 | LAKE WORTH ISD | 0.96 |
| 220912 | CROWLEY ISD | 0.99 |
| 220914 | KENNEDALE ISD | 0.97 |
| 220915 | AZLE ISD | 0.98 |
| 220916 | HURST-EULESS-BEDFORD ISD | 1.04 |
| 220917 | CASTLEBERRY ISD | 0.96 |
| 220918 | EAGLE MT-SAGINAW ISD | 1.02 |
| 220919 | CARROLL ISD | 1.20 |
| 220920 | WHITE SETTLEMENT ISD | 0.98 |
| 221901 | ABILENE ISD | 0.96 |
| 221904 | MERKEL ISD | 0.94 |
| 221905 | TRENT ISD | 1.36 |
| 221911 | JIM NED CONS ISD | 0.95 |
| 221912 | WYLIE ISD | 0.97 |
| 222901 | TERRELL COUNTY ISD | 1.45 |
| 223901 | BROWNFIELD ISD | 0.95 |
| 223902 | MEADOW ISD | 0.93 |
| 223904 | WELLMAN-UNION CONS ISD | 0.93 |
| 224901 | THROCKMORTON ISD | 0.94 |
| 224902 | WOODSON ISD | 0.92 |
| 225902 | MOUNT PLEASANT ISD | 0.97 |
| 225905 | WINFIELD ISD | 0.95 |
| 225906 | CHAPEL HILL ISD | 0.95 |
| 225907 | HARTS BLUFF ISD | 0.93 |
| 226901 | CHRISTOVAL ISD | 0.93 |
| 226903 | SAN ANGELO ISD | 0.97 |
| 226905 | WATER VALLEY ISD | 0.92 |
| 226906 | WALL ISD | 0.97 |
| 226907 | GRAPE CREEK ISD | 0.96 |
| 226908 | VERIBEST ISD | 0.94 |
| 227901 | AUSTIN ISD | 1.14 |
| 227904 | PFLUGERVILLE ISD | 0.98 |
| 227907 | MANOR ISD | 1.09 |
| 227909 | EANES ISD | 1.33 |
| 227910 |