550 U. S. ____ (2007)
550 U. S. ____ (2007)
550 U. S. ____ (2007)
SUPREME COURT OF THE UNITED STATES
NO. 05-1508
ZUNI PUBLIC SCHOOL DISTRICT NO. 89, et al.,
PETITIONERS
v. DEPARTMENT OF EDUCA- TION et al.
on writ of certiorari to the united states court of
appeals for the tenth circuit
[April 17, 2007]
Justice Breyer delivered the
opinion of the Court.
A federal statute sets forth a
method that the Secretary of Education is to use when determining
whether a State’s public school funding program “equalizes
expenditures” throughout the State. The statute instructs the
Secretary to calculate the disparity in per-pupil expenditures
among local school districts in the State. But, when doing so, the
Secretary is to “disregard” school districts “
with per-pupil
expenditures … above the 95th percentile or below the 5th
percentile of such expenditures … in the State.” 20 U.
S. C. §7709(b)(2)(B)(i) (emphasis added).
The question before us is whether the
emphasized statutory language permits the Secretary to identify the
school districts that should be “disregard[ed]” by looking to the
number of the district’s pupils as well as to the size of
the district’s expenditures per pupil. We conclude that it
does.
I
A
The federal Impact Aid Act, 108
Stat. 3749, as amended, 20 U. S. C. §7701
et seq.,
provides financial assistance to local school districts whose
ability to finance public school education is adversely affected by
a federal presence. Federal aid is available to districts, for
example, where a significant amount of federal land is exempt from
local property taxes, or where the federal presence is responsible
for an increase in school-age children (say, of armed forces
personnel) whom local schools must educate. See §7701. The statute
typically prohibits a State from offsetting this federal aid by
reducing its own state aid to the local district. If applied
without exceptions, however, this prohibition might unreasonably
interfere with a state program that seeks to equalize per-pupil
expenditures throughout the State, for instance, by preventing the
state program from taking account of a significant source of
federal funding that some local school districts receive. The
statute consequently contains an exception that permits a State to
compensate for federal impact aid where “the Secretary [of
Education] determine[s] and certifies … that the State has in
effect a program of State aid that
equalizes expenditures
for free public education among local [school districts] in the
State.” §7709(b)(1) (2000 ed., Supp. IV) (emphasis added).
The statute sets out a formula
that the Secretary of Education must use to determine whether a
state aid program satisfies the federal “equaliz[ation]”
requirement. The formula instructs the Secretary to compare the
local school district with the greatest per-pupil expenditures to
the school district with the smallest per-pupil expenditures to see
whether the former exceeds the latter by more than 25 percent. So
long as it does not, the state aid program qualifies as a program
that “equalizes expenditures.” More specifically the statute
provides that “a program of state aid” qualifies,
i.e., it
“equalizes expenditures” among local school districts if,
“in the second fiscal year preceding the fiscal
year for which the determination is made, the amount of per-pupil
expenditures made by [the local school district] with the highest
such per-pupil expenditures … did not exceed the amount of such
per-pupil expenditures made by [the local school district] with the
lowest such expenditures … by more than 25 percent.” §7709(b)(2)(A)
(2000 ed.).
The statutory provision goes on
to set forth what we shall call the “disregard” instruction. It
states that, when “making” this “determination,” the “
Secretary
shall … disregard [school districts] with per-pupil expenditures …
above the 95th percentile or below the 5th percentile of such
expenditures.” §7709(b)(2)(B)(i) (emphasis added). It adds
that the Secretary shall further:
“take into account the extent to which [the state
program reflects the special additional costs that some school
districts must bear when they are] geographically isolated [or when
they provide education for] particular types of students, such as
children with disabilities.” §7709(b)(2)(B)(ii).
B
This case requires us to decide
whether the Secretary’s present calculation method is consistent
with the federal statute’s “disregard” instruction. The method at
issue is contained in a set of regulations that the Secretary first
promulgated 30 years ago. Those regulations essentially state the
following:
When determining whether a state
aid program “equalizes expenditures” (thereby permitting the State
to reduce its own local funding on account of federal impact aid),
the Secretary will first create a list of school districts ranked
in order of per-pupil expenditure. The Secretary will then identify
the relevant percentile cutoff point on that list on the basis of a
specific (95th or 5th) percentile of
student
population—essentially identifying those districts whose
students account for the 5 percent of the State’s total student
population that lies at both the high and low ends of the spending
distribution. Finally the Secretary will compare the highest
spending and lowest spending school districts of those that remain
to see whether they satisfy the statute’s requirement that the
disparity between them not exceed 25 percent.
The regulations set forth this calculation
method as follows:
“[D]eterminations of disparity in current
expenditures … per-pupil are made by—
“(i) Ranking all [of the State’s school districts] on the basis
of current expenditures … per pupil [in the relevant statutorily
determined year];
“(ii) Identifying those [school districts] that fall at the 95th
and 5th percentiles of the total number of pupils in attendance [at
all the State’s school districts taken together]; and
“(iii) Subtracting the lower current expenditure … per pupil
figure from the higher for those [school districts] identified in
paragraph (ii) and dividing the difference by the lower figure.” 34
CFR pt. 222, subpt. K, App., ¶1 (2006) (emphasis deleted).
The regulations also provide an
illustration of how to perform the calculation:
“In State X, after ranking all [school districts]
in order of the expenditures per pupil for the [statutorily
determined] fiscal year in question, it is ascertained by counting
the number of pupils in attendance in those [school districts] in
ascending order of expenditure that the 5th percentile of student
population is reached at [school district A] with a per pupil
expenditure of $820, and that the 95th percentile of student
population is reached at [school district B] with a per pupil
expenditure of $1,000. The percentage disparity between the 95th
percentile and the 5th percentile [school districts] is 22 percent
($1000$820 = $180/$820).”
Ibid.
Because 22 percent is less than the statutory
“25 percent” requirement, the state program in the example
qualifies as a program that “equalizes expenditures.”
C
This case concerns the
Department of Education’s application of the Secretary’s
regulations to New Mexico’s local district aid program in respect
to fiscal year 2000. As the regulations require, Department
officials listed each of New Mexico’s 89 local school districts in
order of per-pupil spending for fiscal year 1998. (The calculation
in New Mexico’s case was performed, as the statute allows, on the
basis of per-pupil revenues, rather than per-pupil
expenditures. See 20 U. S. C. §7709(b)(2)(A). See
also Appendix B,
infra. For ease of reference we
nevertheless refer, in respect to New Mexico’s figures and
throughout the opinion, only to “per-pupil expenditures.”) After
ranking the districts, Department officials excluded 17 school
districts at the top of the list because those districts contained
(cumulatively) less than 5 percent of the student population; for
the same reason, they excluded an additional 6 school districts at
the bottom of the list.
The remaining 66 districts
accounted for approximately 90 percent of the State’s student
population. Of those, the highest ranked district spent $3,259 per
student; the lowest ranked district spent $2,848 per student. The
difference, $411, was less than 25 percent of the lowest per-pupil
figure, namely $2,848. Hence, the officials found that New Mexico’s
local aid program qualifies as a program that “equalizes
expenditures.” New Mexico was therefore free to offset federal
impact aid to individual districts by reducing state aid to those
districts.
Two of New Mexico’s public school districts,
Zuni Public School District and Gallup-McKinley County Public
School District (whom we shall collectively call Zuni), sought
further agency review of these findings. Zuni conceded that the
Department’s calculations were correct in terms of the Department’s
own regulations. Zuni argued, however, that the regulations
themselves are inconsistent with the authorizing statute. That
statute, in its view, requires the Department to calculate the 95th
and 5th percentile cutoffs solely on the basis of the number of
school districts (ranked by their per-pupil expenditures), without
any consideration of the number of pupils in those districts. If
calculated as Zuni urges, only 10 districts (accounting for less
than 2 percent of all students) would have been identified as the
outliers that the statute instructs the Secretary to disregard. The
difference, as a result, between the highest and lowest per-pupil
expenditures of the remaining districts (26.9 percent) would exceed
25 percent. Consequently, the statute would forbid New Mexico to
take account of federal impact aid as it decides how to equalize
school funding across the State. See N. M. Stat. Ann. §22–8–1
et seq. (2006).
A Department of Education Administrative Law
Judge rejected Zuni’s challenge to the regulations. The Secretary
of Education did the same. Zuni sought review of the Secretary’s
decision in the Court of Appeals for the Tenth Circuit. 393
F. 3d 1158 (2004). Initially, a Tenth Circuit panel affirmed
the Secretary’s determination by a split vote (2 to 1).
Subsequently, the full Court of Appeals vacated the panel’s
decision and heard the matter en banc. The 12-member en banc court
affirmed the Secretary but by an evenly divided court (6 to 6). 437
F. 3d 1289 (2006). Zuni sought certiorari. We agreed to decide
the matter.
II
A
Zuni’s strongest argument rests
upon the literal language of the statute. Zuni concedes, as it
must, that if the language of the statute is open or ambiguous—that
is, if Congress left a “gap” for the agency to fill—then we must
uphold the Secretary’s interpretation as long as it is reasonable.
See
Chevron U. S. A. Inc. v.
Natural Resources
Defense Council, Inc.,
467 U. S. 837, 842–843
(1984). See also
Christensen v.
Harris County,
529 U. S. 576,
589, n. (Scalia, J., concurring in part and concurring in
judgment). For purposes of exposition, we depart from a normal
order of discussion, namely an order that first considers Zuni’s
statutory language argument. See
Barnhart v.
Sigmon
Coal Co., 534
U. S. 438, 450 (2002). Instead, because of the technical nature
of the language in question, we shall first examine the provision’s
background and basic purposes. That discussion will illuminate our
subsequent analysis in Part II–B,
infra. It will also
reveal why Zuni concentrates its argument upon language alone.
Considerations other than
language provide us with unusually strong indications that Congress
intended to leave the Secretary free to use the calculation method
before us and that the Secretary’s chosen method is a reasonable
one. For one thing, the matter at issue—
i.e., the
calculation method for determining whether a state aid program
“equalizes expenditures”—is the kind of highly technical,
specialized interstitial matter that Congress often does not decide
itself, but delegates to specialized agencies to decide. See
United States v.
Mead Corp.,
533 U. S. 218, 234
(2001); cf.
MCI Telecommunications Corp. v.
American
Telephone & Telegraph Co.,
512 U. S. 218, 231,
(1994);
Christensen,
supra, at 589, n. (opinion
of Scalia, J.).
For another thing, the history of the statute
strongly supports the Secretary. Congress first enacted an impact
aid “equalization” exception in 1974. The exception originally
provided that the “ter[m] … ‘equaliz[ing] expenditures’ … shall be
defined by the [Secretary].” 20 U. S. C. §240(d)(2)(B) (1970
ed., Supp. IV). Soon thereafter, in 1976, the Secretary promulgated
the regulation here at issue defining the term “equalizing
expenditures” in the manner now before us. See Part I–B,
supra. As far as we can tell, no Member of Congress has
ever criticized the method the 1976 regulation sets forth nor
suggested at any time that it be revised or reconsidered.
The present statutory language originated in
draft legislation that the Secretary himself sent to Congress in
1994. With one minor change (irrelevant to the present calculation
controversy), Congress adopted that language without comment or
clarification. No one at the time—no Member of Congress, no
Department of Education official, no school district or
State—expressed the view that this statutory language (which, after
all, was supplied by the Secretary) was intended to require, or did
require, the Secretary to change the Department’s system of
calculation, a system that the Department and school districts
across the Nation had followed for nearly 20 years, without (as far
as we are told) any adverse effect.
Finally, viewed in terms of the purpose of the
statute’s disregard instruction, the Secretary’s calculation method
is reasonable, while the reasonableness of a method based upon the
number of districts alone (Zuni’s proposed method) is more
doubtful. When the Secretary (then Commissioner) of Education
considered the matter in 1976, he explained why that is so.
Initially the Secretary pointed out that the
“exclusion of the upper and bottom 5 percentile school districts is
based upon the accepted principle of statistical evaluation that
such percentiles usually represent
unique or
noncharacteristic situations.” 41 Fed. Reg. 26320 (1976)
(emphasis added). That purpose, a purpose to exclude statistical
outliers, is evident in the language of the present statute. The
provision uses the technical term “percentile”; it refers to cutoff
numbers (“95th” and “5th”) often associated with scientific
calculations; and it directly precedes another statutory provision
that tells the Secretary to account for those districts, from among
the middle 5th to 95th percentile districts, that remain
“noncharacteristic” in respect to geography or the presence of
special students (such as disabled students). See 20 U. S. C.
§§7709(b)(2)(B)(i)–(ii).
The Secretary added that under the
regulation’s calculation system the “percentiles” would be
“determined on the basis of numbers of pupils and not on the basis
of numbers of districts.” 41 Fed. Reg. 26324. He said that to base
“an exclusion on numbers of districts” alone “would act to apply
the disparity standard in an unfair and inconsistent manner among
States.”
Ibid. He then elaborated upon his concerns:
“The purpose of the exclusion is to eliminate those
anomalous characteristics of a distribution of expenditures. In
States with a small number of large districts, an exclusion based
on percentage of school districts might exclude from the measure of
disparity a substantial percentage of the pupil population in those
States. Conversely, in States with large numbers of small
districts, such an approach might exclude only an insignificant
fraction of the pupil population and would not exclude anomalous
characteristics.”
Ibid.
To understand the Secretary’s
first problem, consider an exaggerated example, say a State with 80
school districts of unequal size. Suppose 8 of the districts
include urban areas and together account for 70 percent of the
State’s students, while the remaining 72 districts include
primarily rural areas and together account for 30 percent of the
State’s students. If the State’s greatest funding disparities are
among the 8 urban districts, Zuni’s calculation method (which looks
only at the number of districts and ignores their size) would
require the Secretary to disregard the system’s 8 largest districts
(
i.e., 10 percent of the number 80) even though those 8
districts (because they together contain 70 percent of the State’s
pupils) are typical of, indeed characterize, the State’s public
school system. It would require the Secretary instead to measure
the system’s expenditure equality by looking only to
noncharacteristic districts that are not representative of the
system as a whole, indeed districts accounting for only 30 percent
of the State’s pupils. Thus, according to Zuni’s method, the
Secretary would have to certify a state aid program as one that
“equalizes expenditures” even if there were gross disparities in
per-pupil expenditures among urban districts accounting for 70
percent of the State’s students. By way of contrast, the
Secretary’s method, by taking into account a district’s size as
well as its expenditures, would avoid a calculation that would
produce results so contrary to the statute’s objective.
To understand the Secretary’s second problem
consider this very case. New Mexico’s 89 school districts vary
significantly in respect to the number of pupils each contains.
Zuni’s calculation system nonetheless forbids the Secretary to
discount more than 10 districts—10 percent of the total number of
districts (rounded up). But these districts taken together account
for only 1.8 percent of the State’s pupils. To eliminate only those
districts, instead of eliminating districts that together account
for 10 percent of the State’s pupils, risks resting the “disregard”
calculation upon a few particularly extreme noncharacteristic
districts, yet again contrary to the statute’s intent.
Thus, the history and purpose of the disregard
instruction indicate that the Secretary’s calculation formula is a
reasonable method that carries out Congress’ likely intent in
enacting the statutory provision before us.
B
But what of the provision’s
literal language? The matter is important, for normally neither the
legislative history nor the reasonableness of the Secretary’s
method would be determinative if the plain language of the statute
unambiguously indicated that Congress sought to foreclose the
Secretary’s interpretation. And Zuni argues that the Secretary’s
formula could not possibly effectuate Congress’ intent since the
statute’s language literally forbids the Secretary to use such a
method. Under this Court’s precedents, if the intent of Congress is
clear and unambiguously expressed by the statutory language at
issue, that would be the end of our analysis. See
Chevron,
467 U. S., at 842–843. A customs statute that imposes a tariff on
“clothing” does not impose a tariff on automobiles, no matter how
strong the policy arguments for treating the two kinds of goods
alike. But we disagree with Zuni’s conclusion, for we believe that
the Secretary’s method falls within the scope of the statute’s
plain language.
That language says that, when the
Secretary compares (for a specified fiscal year) “the amount of
per-pupil expenditures made by” (1) the
highest-per-pupil-expenditure district and (2) the
lowest-per-pupil-expenditure district, “the Secretary shall …
disregard” local school districts “with per-pupil expenditures …
above the 95th percentile or below the 5th percentile of such
expenditures in the State.” 20 U. S. C. §7709(b)(2)(B)(i). The
word “such” refers to “per-pupil expenditures” (or more precisely
to “per-pupil expenditures” in the test year specified by the
statute). The question then is whether the phrase “
above the
95th percentile … of … [per pupil] expenditures” permits the
Secretary to calculate percentiles by (1) ranking local districts,
(2) noting the student population of each district, and (3)
determining the cutoff point on the basis of districts containing
95 percent (or 5 percent) of the State’s students.
Our answer is that this phrase, taken with
absolute literalness, limits the Secretary to calculation methods
that involve “per-pupil expenditures.” But it does not tell the
Secretary which of several different possible methods the
Department must use. Nor does it rule out the present formula,
which distributes districts in accordance with per-pupil
expenditures, while essentially weighting each district to reflect
the number of pupils it contains.
Because the statute uses technical language
(
e.g., “percentile”) and seeks a technical purpose
(eliminating uncharacteristic, or outlier, districts), we have
examined dictionary definitions of the term “percentile.” See 41
Fed. Reg. 26320 (Congress intended measurements based upon an
“accepted principle of
statistical evaluation” (emphasis
added)). Those definitions make clear that “percentile” refers to a
division of a distribution of
some population into 100
parts. Thus, Webster’s Third New International Dictionary 1675
(1961) (Webster’s Third) defines “percentile” as “the value of the
statistical variable that marks the boundary between any two
consecutive intervals in a distribution of 100 intervals each
containing one percent of the total population.” A standard
economics dictionary gives a similar definition for
“percentiles”:
“The values separating hundredth parts of a
distribution, arranged in order of size. The 99th percentile of the
income distribution, for example, is the income level such that
only one percent of the population have larger incomes.” J. Black,
A Dictionary of Economics 348–349 (2d ed. 2002).
A dictionary of mathematics states: “The
n-th percentile is the value
xn/100 such that n per cent of the population is less than
or equal to xn/100.” It adds that
“[t]he terms can be modified, though not always very
satisfactorily, to be applicable to a discrete random variable or
to a large sample ranked in ascending order.” C. Clapham & J.
Nicholson, The Concise Oxford Dictionary of Mathematics 378–379 (3d
ed. 2005) (emphasis deleted). The American Heritage Science
Dictionary 468 (2005) explains that a percentile is “[a]ny of the
100 equal parts into which the range of the values of a set of data
can be divided in order to show the distribution of those values.”
And Merriam-Webster’s Medical Desk Dictionary 612 (2002) describes
percentile as “a value on a scale of one hundred that indicates the
percent of a distribution that is equal to or below
it.”
These definitions,
mainstream and technical, all indicate that, in order to identify
the relevant percentile cutoffs, the Secretary must construct a
distribution of values. That distribution will consist of a
“population” ranked according to a characteristic. That
characteristic takes on a “value” for each member of the relevant
population. The statute’s instruction to identify the 95th and 5th
“percentile of such expenditures” makes clear that the relevant
characteristic for ranking purposes is per-pupil
expenditure during a particular year. But the statute does not
specify precisely what population is to be “distributed”
(i.e., ranked according to the population’s corresponding
values for the relevant characteristic). Nor does it set forth
various details as to how precisely the distribution is to be
constructed (as long as it is ranked according to the specified
characteristic).
But why is Congress’
silence in respect to these matters significant? Are there several
different populations, relevant here, that one might rank
according to “per-pupil expenditures” (and thereby determine in
several different ways a cutoff point such that
“n percent of [that] population” falls, say below the
percentile cutoff)? We are not experts in statistics, but a
statistician is not needed to see what the dictionary does not say.
No dictionary definition we have found suggests that there is any
single logical, mathematical, or statistical link between,
on the one hand, the characterizing data (used for ranking
purposes) and, on the other hand, the nature of the relevant
population or how that population might be weighted for purposes of
determining a percentile cutoff.
Here, the Secretary
has distributed districts, ranked them according to per-pupil
expenditure, but compared only those that account for 90 percent of
the State’s pupils. Thus, the Secretary has used—as his
predecessors had done for a quarter century before him—the State’s
students as the relevant population for calculating the
specified percentiles. Another Secretary might have distributed
districts, ranked them by per-pupil expenditure, and made no
reference to the number of pupils (a method that satisfies the
statute’s language but threatens the problems the
Secretary long ago identified, see 41 Fed. Reg. 26324;
supra, at 4–5). A third Secretary might have distributed
districts, ranked them by per-pupil expenditure, but compared only
those that account for 90 percent of total pupil expenditures in
the State. A fourth Secretary might have distributed districts,
ranked them by per-pupil expenditure, but calculated the 95th and
5th percentile cutoffs using the per-pupil expenditures of all the
individual schools in the State. See 41 Fed. Reg. 26324
(considering this system of calculation). A fifth Secretary might
have distributed districts, ranked them by per-pupil expenditure,
but accounted in his disparity calculation for the sometimes
significant differences in per-pupil spending at different grade
levels. See 34 CFR §222.162(b)(1) (2006) (authorizing such a
system); id., pt. 222, subpt. K, App. See also Appendix B,
infra.
Each of these methods
amounts to a different way of determining which districts fall
between the 5th and 95th “percentile of per-pupil expenditures.”
For purposes of that calculation, they each adopt different
populations—students, districts, schools, and grade levels. Yet,
linguistically speaking, one may attribute the characteristic of
per-pupil expenditure to each member of any such population (though
the values of that characteristic may be more or less readily
available depending on the chosen population, see 41 Fed. Reg.
26324). Hence, the statute’s literal language covers any or all of
these methods. That language alone does not tell us (or the
Secretary of Education), however, which method to
use.
Justice Scalia’s
claim that this interpretation “defies any semblance of normal
English” depends upon its own definition of the word “per.” That
word, according to the dissent, “connotes . . . a single average
figure assigned to a unit the composite members of which are
individual pupils.” Post, at 6 (dissenting opinion)
(emphasis omitted). In fact, the word “per” simply means “[f]or
each” or “for every.” Black’s Law Dictionary 1171 (8th ed. 1999);
see Webster’s Third 1674. Thus, nothing in the English language
forbids the Secretary from considering expenditures for
each individual pupil in a district when instructed to
look at a district’s “per-pupil expenditures.” The remainder of the
dissent’s argument, colorful language to the side, rests upon a
reading of the statutory language that ignores its basic purpose
and history.
We find additional
evidence for our understanding of the language in the fact that
Congress, in other statutes, has clarified the matter here at issue
thereby avoiding comparable ambiguity. For example, in a different
education-related statute, Congress refers to “the school at the
20th percentile in the State, based on enrollment, among
all schools ranked by the percentage of students at the
proficient level.” 20 U. S. C. §6311(b)(2)(E)(ii) (2000
ed., Supp. IV) (emphasis added). In another statute fixing charges
for physicians services, Congress specified that the maximum charge
“shall be the 50th percentile of the customary charges for the
service (weighted by the frequency of the service)
performed by nonparticipating physicians in the locality during the
[prior] 12-month period.” 42 U. S. C. §1395u(j)(1)(C)(v) (2000
ed.) (emphasis added). In these statutes Congress indicated with
greater specificity how a percentile should be determined by
stating precisely not only which data values are of interest, but
also (in the first) the population that is to be distributed and
(in the second) the weightings needed to make the calculation
meaningful and to avoid counterproductive results. In the statute
at issue here, however, Congress used more general language
(drafted by the Secretary himself), which leaves the Secretary with
the authority to resolve such subsidiary matters at the
administrative level.
We also find support
for our view of the language in the more general circumstance that
statutory “[a]mbiguity is a creature not [just] of definitional
possibilities but [also] of statutory context.” Brown v.
Gardner, 513 U. S. 115, 118
(1994). See also FDA v. Brown & Williamson Tobacco
Corp., 529 U.
S. 120, 132–133 (2000) (“[m]eaning—or ambiguity—of
certain words or phrases may only become evident when placed in
context” (emphasis added)). That may be so even if statutory
language is highly technical. After all, the scope of what seems a
precise technical chess instruction, such as “you must place the
queen next to the king,” varies with context, depending, for
example, upon whether the instructor is telling a beginner how to
set up the board or telling an advanced player how to checkmate an
opponent. The dictionary acknowledges that, when interpreting
technical statistical language, the purpose of the exercise
matters, for it says that “quantile,” “percentile,” “quartile,” and
“decile” are “terms [that] can be modified, though not always very
satisfactorily, to be applicable to … a large sample ranked in
ascending order.” Oxford Dictionary of Mathematics, at
379.
Thus, an instruction
to “identify schools with average scholastic aptitude test scores
below the 5th percentile of such scores” may vary as to the
population to be distributed, depending upon whether the context is
one of providing additional counseling and support to
students at low-performing schools (in which case the
relevant population would likely consist of students), or one of
identifying unsuccessful learning protocols at low-performing
schools (in which case the appropriate population may well be the
schools themselves). Context here tells us that the instruction to
identify school districts with “per-pupil expenditures” above the
95th percentile “of such expenditures” is similarly ambiguous,
because both students and school districts are of concern to the
statute. Accordingly, the disregard instruction can include within
its scope the distribution of a ranked population that consists of
pupils (or of school districts weighted by pupils) and not just a
ranked distribution of unweighted school districts
alone.
Finally, we draw
reassurance from the fact that no group of statisticians, nor any
individual statistician, has told us directly in briefs, or
indirectly through citation, that the language before us cannot be
read as we have read it. This circumstance is significant, for the
statutory language is technical, and we are not statisticians. And
the views of experts (or their absence) might help us understand
(though not control our determination of) what Congress had in
mind.
The upshot is that
the language of the statute is broad enough to permit the
Secretary’s reading. That fact requires us to look beyond the
language to determine whether the Secretary’s interpretation is a
reasonable, hence permissible, implementation of the statute. See
Chevron, 467 U. S., at 842–843. For the reasons set forth
in Part II–A, supra, we conclude that the Secretary’s
reading is a reasonable reading. We consequently find the
Secretary’s method of calculation
lawful.
The judgment of the
Tenth Circuit is affirmed.
It is so
ordered.
APPENDIXES TO OPINION
OF THE COURT
A
We
set out the relevant statutory provisions and accompanying
regulations in full. The reader will note that in the text of our
opinion, for purposes of exposition, we use the term “local school
districts” where the statute refers to “local educational
agencies.” We also disregard the statute’s frequent references to
local “revenues” because those references do not raise any
additional considerations germane to this
case.
Impact Aid Program, 20
U. S. C. §7709 (2000 ed. and Supp. IV) (State consideration of
payments in providing state aid):
“(a) General
prohibition
“Except as provided
in subsection (b) of this section, a State may
not—
“(1) consider payments under this
subchapter in determining for any fiscal
year—
“(A) the eligibility of a local
educational agency for State aid for free public education;
or
“(B) the amount of such aid;
or
“(2) make such aid available to local
educational agencies in a manner that results in less State aid to
any local educational agency that is eligible for such payment than
such agency would receive if such agency were not so
eligible.
“(b) State equalization
plans
“(1) In
general
“A State may reduce State aid to a
local educational agency that receives a payment under section 7702
or 7703(b) of this title (except the amount calculated in excess of
1.0 under section 7703(a)(2)(B) of this title and, with respect to
a local educational agency that receives a payment under section
7703(b)(2) of this title, the amount in excess of the amount that
the agency would receive if the agency were deemed to be an agency
eligible to receive a payment under section 7703(b)(1) of this
title and not section 7703(b)(2) of this title) for any fiscal year
if the Secretary determines, and certifies under subsection
(c)(3)(A) of this section, that the State has in effect a program
of State aid that equalizes expenditures for free public education
among local educational agencies in the
State.
“(2) Computation
“(A) In
general
“For purposes of paragraph (1), a
program of State aid equalizes expenditures among local educational
agencies if, in the second fiscal year preceding the fiscal year
for which the determination is made, the amount of per-pupil
expenditures made by, or per-pupil revenues available to, the local
educational agency in the State with the highest such per-pupil
expenditures or revenues did not exceed the amount of such
per-pupil expenditures made by, or per-pupil revenues available to,
the local educational agency in the State with the lowest such
expenditures or revenues by more than 25
percent.
“(B) Other
factors
In making a determination under this
subsec-
tion, the Secretary
shall—
“(i) disregard local educational
agencies with per-pupil expenditures or revenues above the 95th
percentile or below the 5th percentile of such expenditures or
revenues in the State; and
“(ii) take into account the extent to
which a program of State aid reflects the additional cost of
providing free public education in particular types of local
educational agencies, such as those that are geographically
isolated, or to particular types of students, such as children with
disabilities.”
B
34 CFR §222.162 (2006)
(What disparity standard must a State meet in order to be certified
and how are disparities in current expenditures or revenues per
pupil measured?):
“(a) Percentage disparity
limitation. The Secretary considers that a State aid program
equalizes expenditures if the disparity in the amount of current
expenditures or revenues per pupil for free public education among
LEAs in the State is no more than 25 percent. In determining the
disparity percentage, the Secretary disregards LEAs with per pupil
expenditures or revenues above the 95th or below the 5th percentile
of those expenditures or revenues in the State. The method for
calculating the percentage of disparity in a State is in the
appendix to this subpart.
“(b)(1) Weighted
average disparity for different grade level groups. If a State
requests it, the Secretary will make separate disparity
computations for different groups of LEAs in the State that have
similar grade levels of
instruction.
“(2) In those cases,
the weighted average disparity for all groups, based on the
proportionate number of pupils in each group, may not be more than
the percentage provided in paragraph (a) of this section. The
method for calculating the weighted average disparity percentage is
set out in the appendix to this
subpart.
“(c) Per pupil
figure computations. In calculating the current expenditures
or revenue disparities under this section, computations of per
pupil figures are made on one of the following
bases:
“(1) The per pupil
amount of current expenditures or revenue for an LEA is computed on
the basis of the total number of pupils receiving free public
education in the schools of the agency. The total number of pupils
is determined in accordance with whatever standard measurement of
pupil count is used in the State.”
34 CFR pt. 222, subpt.
K, App. (2006) (Methods of Calculations for Treatment of Impact Aid
Payments Under State Equalization
Programs):
“The
following paragraphs describe the methods for making certain
calculations in conjunction with determinations made under the
regulations in this subpart. Except as otherwise provided in the
regulations, these methods are the only methods that may be used in
making these calculations.
“1. Determinations of disparity standard
compliance under §
222.162(b)(1).
“(a) The
determinations of disparity in current expenditures or revenue per
pupil are made by—
“(i) Ranking all LEAs
having similar grade levels within the State on the basis of
current expenditures or revenue per pupil for the second preceding
fiscal year before the year of
determination;
“(ii) Identifying
those LEAs in each ranking that fall at the 95th and 5th
percentiles of the total number of pupils in attendance in the
schools of those LEAs; and
“(iii) Subtracting
the lower current expenditure or revenue per pupil figure from the
higher for those agencies identified in paragraph (ii) and dividing
the difference by the lower figure.
. . . . .
“(b) In cases under §222.162(b), where
separate computations are made for different groups of LEAs, the
disparity percentage for each group is obtained in the manner
described in paragraph (a) above. Then the weighted average
disparity percentage for the State as a whole is determined
by—
“(i) Multiplying the
disparity percentage for each group by the total number of pupils
receiving free public education in the schools in that
group;
“(ii) Summing the
figures obtained in paragraph (b)(i);
and
“(iii) Dividing the
sum obtained in paragraph (b)(ii) by the total number of pupils for
all the groups.
Example
Group 1 (grades 1–6),
80,000 pupils x 18% = 14,400
Group 2 (grades 7–12),
100,000 pupils x 22% =
22,000
Group 3 (grades 1–12),
20,000 pupils x 35% = 7,000
Total 200,000 pupils
.......................................
43,400
43,400/200,000=21.70%
Disparity
”
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