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entitled 'School Facilities: Physical Conditions in School Districts 
Receiving Impact Aid for Students Residing on Indian Lands' which was 
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Report to the Chairman, Committee on Indian Affairs, U.S. Senate:

United States Government Accountability Office: 
GAO:

October 2009:

School Facilities:

Physical Conditions in School Districts Receiving Impact Aid for 
Students Residing on Indian Lands:

GAO-10-32: 

GAO Highlights:

Highlights of GAO-10-32, a report to the Chairman, Committee on Indian 
Affairs, U.S. Senate. 

Why GAO Did This Study:

State and local governments spend billions of dollars annually on the 
construction, renovation, and maintenance of public school facilities, 
yet concerns persist about the condition of some school facilities, 
particularly in school districts serving students residing on Indian 
lands. The Department of Education’s (Education) Impact Aid Program 
provides funding to school districts that are adversely impacted by a 
lack of local revenue because of the presence of federal land, which is 
exempt from local property taxes. Impact Aid can be used for school 
expenses, such as facilities and teacher salaries.
 
In response to concern about school facility conditions and concern 
that these conditions can affect student outcomes, GAO was asked to 
describe (1) the physical condition of schools in districts receiving 
Impact Aid because of students residing on Indian lands and (2) what is 
known about how school facilities affect student outcomes. GAO 
interviewed federal, state, and local officials; analyzed available 
independent school facility assessment data for three states; visited 
eight school districts that receive Impact Aid; and analyzed studies 
examining the relationship between school facilities and student 
outcomes.

GAO is not making recommendations in this report. Education provided 
technical clarifications, which GAO incorporated as appropriate. 

What GAO Found:

Limited nationwide data are available about the physical condition of 
public school facilities in school districts that receive Impact Aid 
funding for students living on Indian lands, although data from three 
states indicate the conditions range from good to poor. Montana’s 
assessment data showed that the majority (39 of 60) of Indian Impact 
Aid school districts had facilities in good condition. New Mexico’s 
data showed that all 19 Indian Impact Aid school districts had 
facilities in either good or fair condition. Washington’s data—based on 
assessments from 9 of 29 Indian Impact Aid school districts—indicated 
about half (4 of 9) of the Indian Impact Aid school districts had 
facilities in fair condition and about half (5 of 9) had facilities in 
poor condition. Facility assessments are not comparable across states. 
School district officials from 8 districts told GAO their facility 
conditions are affected by factors such as fiscal capacity, the age of 
buildings, and remote locations. 

The research studies GAO reviewed on the relationship between the 
condition of school facilities and student outcomes often indicated 
that better facilities were associated with better student outcomes, 
but there is not necessarily a direct causal relationship and the 
associations were often weak compared with those of other factors, such 
as the prevalence of poverty or other student characteristics. A 
majority of the studies GAO reviewed indicated that better school 
facilities were associated with better student outcomes—such as higher 
scores on achievement tests or higher student attendance rates. Most of 
the studies measured the extent to which better school facilities were 
associated with better outcomes, after taking into account the impact 
of other factors. None of the studies examined was able to conclusively 
determine how much school facility conditions contribute to student 
outcomes relative to other factors, such as student demographics, and 
none proved a causal relationship between school facilities and student 
outcomes.

Figure: States with School Districts That Received Impact Aid for 
Students Residing on Indian Lands in 2008: 

[Refer to PDF for image: map of the United States] 

Twenty-seven states that received Indian Impact Aid funds in 2008: 
Alaska; 
Arizona; 
California; 
Colorado; 
Florida; 
Idaho; 
Iowa; 
Kansas; 
Maine; 
Massachusetts; 
Michigan; 
Minnesota; 
Mississippi; 
Montana; 
Nebraska; 
Nevada; 
New Mexico; 
North Carolina; 
North Dakota; 
Oklahoma; 
Oregon; 
South Dakota; 
Texas; 
Utah; 
Washington; 
Wisconsin;  
Wyoming. 

Eleven of those states had at least 15 Indian Impact Aid school 
districts: 
Alaska; 
Arizona; 
California; 
Minnesota; 
Montana; 
New Mexico; 
North Dakota; 
Oklahoma; 
South Dakota; 
Wisconsin;  
Washington. 

Three of these states had independent school facility assessment data: 
Montana; 
New Mexico; 
Washington. 

Source: GAO analysis of Department of Education data. 

[End of figure] 

View [hyperlink, http://www.gao.gov/products/GAO-10-32] or key 
components. For more information, contact Cornelia Ashby at (202) 512-
7215 or ashbyc@gao.gov. 

[End of section] 

Contents:

Letter:

Background:

Little Information Is Available on the Condition of School Facilities 
in Districts That Receive Impact Aid for Students Living on Indian 
Lands, but Data from Selected States Indicate Conditions Ranged from 
Good to Poor:

Some Research Suggests That Better School Facilities Are Associated 
with Better Student Outcomes, and School District Officials Agreed, but 
There Is Little Evidence of a Causal Relationship:

Agency Comments:

Appendix I: Objectives, Scope, and Methodology:

Appendix II: List of School Districts That Received Indian Impact Aid 
in Fiscal Year 2009:

Appendix III: Examples of Studies Examining School Facilities and 
Student Outcomes:

Appendix IV: GAO Contacts and Staff Acknowledgments:

Tables:

Table 1: Eleven States with Large Numbers of Indian Impact Aid School 
Districts in 2008:

Table 2: Characteristics of Site Visit School Districts:

Table 3: Number of Selected Research Studies on Selected Facility and 
Student Outcome Variables:

Table 4: States with School Districts Receiving Impact Aid for Students 
Residing on Indian Lands, Fiscal Year 2009 (as of August 2009):

Table 5: Examples of Studies on Broad Measures of School Facilities and 
Student Achievement:

Table 6: Examples of Other Studies on School Facilities and Student 
Outcomes.

Figures:

Figure 1: Condition of School Facilities in Montana's Indian Impact Aid 
and Other School Districts:

Figure 2: Condition of School Facilities in New Mexico's Indian Impact 
Aid and Other School Districts:

Figure 3: Examples of Old and New School Heating Systems in One Montana 
School District:

Abbreviations:

ESEA: Elementary and Secondary Education Act of 1965:

FCI: facility condition index:

HVAC: heating, ventilation, and air conditioning:

NCES: National Center for Education Statistics:

NCLBA: No Child Left Behind Act of 2001:

NMCI: New Mexico condition index:

[End of section]

United States Government Accountability Office: 
Washington, DC 20548:

October 29, 2009:

The Honorable Byron L. Dorgan: 
Chairman: 
Committee on Indian Affairs: 
United States Senate:

Dear Mr. Chairman:

State and local governments spend billions of dollars annually on the 
construction, renovation, and maintenance of public school facilities. 
However, concerns persist about the conditions of some school 
facilities, particularly those located near Indian lands. This is 
because Indian students often attend schools in rural areas with higher 
levels of poverty, and compared with other students often have poorer 
educational outcomes, such as lower scores on standardized tests and 
lower graduation rates. (In this report, we refer to American Indians 
and Alaska Natives as Indians.) Some education experts believe the 
condition of public school facilities can affect student outcomes, and 
numerous studies have attempted to document possible associations. To 
maintain and build public school facilities, school districts generally 
rely on their local tax base. Some school districts have limited access 
to this source of revenue because a portion of the nearby land is owned 
by the federal government, which is exempt from local property taxes. 
Although funding for school operations and construction is primarily 
considered a state and local issue, the Congress established the Impact 
Aid Program in 1950 to provide funding to school districts that are 
adversely impacted by a lack of local revenue because of the presence 
of federal land. Under the Impact Aid basic support program, the 
Department of Education (Education) awards funding to school districts 
generally on the basis of the number of federally connected students 
they serve, such as those students residing on Indian lands or military 
bases or who have parents in the military or who work on federal lands. 
[Footnote 1] In 2008, Congress provided $1.1 billion for basic 
educational expenses under the Impact Aid program. Education 
distributed these funds to about 1,200 school districts, with about 
half of the funds going to Impact Aid school districts that have 
students residing on Indian lands.

In response to your request that we describe the condition of 
facilities in school districts that receive Impact Aid for students 
residing on Indian lands, this report addresses the following questions:

1. What information is available on the physical condition of 
facilities in school districts that receive federal Impact Aid due to 
students residing on Indian lands?

2. What is known about how school facilities affect student outcomes?

To determine what information is available about the physical condition 
of school facilities in Indian Impact Aid school districts, we 
contacted officials from state and federal agencies and reviewed 
relevant federal laws and regulations.[Footnote 2], [Footnote 3] We 
also analyzed national state-level data on student populations residing 
on Indian lands and contacted the 11 states with a large number of 
Indian Impact Aid school districts (at least 15 districts). We obtained 
data from 4 states that indicated they had independent assessment data 
about the condition of or deficiencies in some or all of their public 
schools. We only accepted assessment data that were prepared by an 
independent party with no apparent vested interest in the results of 
the assessment. We analyzed the states' data to describe the condition 
of school facilities for all of the Indian Impact Aid and other school 
districts in Montana and New Mexico and the 118 of 295 districts in 
Washington for which data were available (9 of 29 Indian Impact Aid and 
109 of 266 other school districts). We determined that the data were 
sufficiently reliable for the analyses used for this report. Although 
the 4th state, Arizona, also had independent assessment data, it 
identified deficiencies rather than the overall condition of school 
facilities, so we did not use the data, but we did include Arizona in 
site visits. The 3 states from which we had usable assessment data 
represented approximately 27 percent of all students residing on Indian 
lands. In addition, we visited 2 school districts in each of the 4 
states to obtain school district officials' perspectives on factors 
that affect facility maintenance and to observe their facilities. To 
determine what is known about how the condition of school facilities 
affects student outcomes, we conducted a literature search for studies 
that quantitatively analyzed relationships between school facility 
variables and a variety of student outcomes, such as student 
achievement test scores and student attendance rates. We selected a set 
of 24 studies--those in peer-reviewed journals and others that our 
methodologists regarded as sufficiently rigorous--and systematically 
reviewed these studies. (See app. I for a description of our selection 
criteria.) We also discussed the effects of the condition of school 
facilities on students and teachers during our 8 school district site 
visits and in interviews with representatives of Indian Impact Aid 
associations and state Indian Education officials.

We conducted our work from September 2008 to October 2009 in accordance 
with all sections of GAO's Quality Assurance Framework that are 
relevant to our objectives. The framework requires that we plan and 
perform the engagement to obtain sufficient and appropriate evidence to 
meet our stated objectives and to discuss any limitations in our work. 
We believe that the information and data obtained, and the analysis 
conducted, provide a reasonable basis for any findings in this product. 
See appendix I for further information on our scope and methodology, 
appendix II for a list of states with Indian Impact Aid school 
districts, and appendix III for a summary of studies on school 
facilities and student outcomes.

Background:

Role of the Federal Government in Public Elementary and Secondary 
Education:

Public elementary and secondary education is primarily a state and 
local government responsibility, although the federal government 
provides supplementary funds to public schools for a variety of 
purposes, including grants for disadvantaged students, special 
education students, and teacher improvement. The federal government 
provided about 8 percent of funding for public education in school year 
2005-2006. The allocation of federal funds reflects a concern with 
student outcomes as evidenced by the Elementary and Secondary Education 
Act of 1965, as amended, which has the goal of ensuring that all 
children have a fair, equal, and significant opportunity to obtain a 
high-quality education. The No Child Left Behind Act of 2001 (NCLBA), 
which reauthorized and amended ESEA, requires school districts to make 
improvements when they fail to make adequate yearly progress in raising 
student achievement.

The federal government has historically provided for the education of 
Indian children in part through the Department of the Interior's Bureau 
of Indian Affairs. Interior's Bureau of Indian Education, previously a 
part of the Bureau of Indian Affairs, funds 170 schools serving 
students living on Indian lands; however, most Indian students now 
attend public schools. In some cases, these schools and Indian Impact 
Aid schools are in the same communities, and students may transfer from 
one to the other.[Footnote 4] Among some 580,000 Indian children who 
attend public elementary and secondary schools in the United States, 
about one-third of them are enrolled in Indian Impact Aid school 
districts. An estimated 45,000 Indian students attend Bureau of Indian 
Education schools. The remaining Indian children attend other public 
schools or private schools.

Impact Aid Program:

Congress established the Impact Aid program in 1950 to assist public 
school districts that have lost property tax revenue due to the 
presence of tax-exempt federal property, or that have experienced 
increased costs due to the enrollment of federally connected children, 
including children living on Indian lands, military bases, or other 
federal lands for which school districts receive no tax revenue. Public 
school districts qualify for and receive Impact Aid, in part, on the 
basis of the number of federally connected students they serve, such as 
those who reside on military bases, Indian lands, or other federal 
lands, or others who have parents in the military or who work on 
federal lands.[Footnote 5]

The largest component of the Impact Aid program is basic support 
payments, which provided about $1 billion for fiscal year 2008 to about 
1,200 public school districts,[Footnote 6] including about $520 million 
to 567 Indian Impact Aid school districts for students living on Indian 
lands in 27 states.[Footnote 7] (See app. II for preliminary fiscal 
year 2009 data.) 

School districts eligible for Impact Aid decide how to use these funds. 
[Footnote 8] For example, they may use these funds for costs associated 
with teacher salaries and benefits; transportation; textbooks; and 
facility maintenance, repair, renovation, and construction. Some 
districts also hold a portion of these funds in reserve for use in 
future years. To be eligible for basic support payments for having 
students living on Indian lands, a school district must have at least 
400 federally connected students, or these students must comprise at 
least 3 percent of their total number of students. The method for 
determining Indian Impact Aid basic support payments provides more 
funding per federally connected student in school districts where these 
students are a larger share of the total number of students and the 
basic support payments represent a larger share of current school 
district expenditures.[Footnote 9] For Indian Impact Aid school 
districts, the average amount of this basic support per student living 
on Indian lands was $4,534 in fiscal year 2008. After adjusting for 
inflation, this average rose 7 percent from fiscal years 2002 to 2005 
and has subsequently fallen back to about fiscal year 2002 levels.

The Impact Aid program also includes funding for construction, through 
both a formula grant program and a competitive grant program for school 
districts with high percentages of children living on Indian lands or 
high percentages of children who have a parent on active military duty. 
Congress provided about $17.8 million to the formula grant program in 
both fiscal years 2006 and 2007, but no funding for fiscal years 2008 
or 2009. Formula grants are restricted to Impact Aid school districts 
with at least 50 percent of students living on Indian land or at least 
50 percent of students who have a parent on active military duty. The 
competitive construction grant program did not receive any funding in 
fiscal years 2006 or 2007, but received approximately $17 million for 
fiscal years 2008 and 2009. These grants are for school facility 
emergencies and modernization and are restricted to school districts 
with at least 40 percent of students living on Indian lands or at least 
40 percent of students who have a parent on active military duty. The 
competitive grant program to date has provided funding only for 
emergency repairs. In July 2009, this program awarded grants from the 
fiscal year 2008 appropriation--totaling about $17 million--to 13 
Indian Impact Aid school districts.[Footnote 10] The American Recovery 
and Reinvestment Act of 2009 (Recovery Act) appropriated $100 million 
for construction projects by Impact Aid school districts.[Footnote 11] 
The Recovery Act requires that Education provide nearly $40 million of 
this appropriation as formula grants and nearly $60 million as 
competitive grants. The Recovery Act also provides a $53.6 billion 
State Fiscal Stabilization Fund, some of which may be available to 
provide funding to school districts, including Indian Impact Aid school 
districts, for a variety of purposes (e.g., modernizing, renovating, or 
repairing public school facilities).[Footnote 12]

Assessing Facility Conditions:

Building and maintaining sound school facilities is important not only 
to provide a safe and healthy learning environment, but to avoid costly 
repairs or replacements. Facility managers who routinely assess the 
condition of their facilities can identify problems at their earliest 
stages and evaluate buildings for future maintenance and repair needs. 
Facility assessments take a variety of forms, from staff walking 
through a facility and visually inspecting its condition and 
identifying repair and maintenance issues to a more comprehensive 
assessment in which individual building systems, such as electrical, 
heating, and air conditioning, are assessed by a professional inspector 
and deficiencies are identified. To compare the relative condition of 
facilities, assessors often use a "facility condition index" (FCI), 
which is computed as the cost of repairing or replacing parts of the 
facility that are identified as deficient divided by the cost of 
replacing the entire facility. FCIs are useful in comparing the 
relative condition of facilities only if they are calculated using a 
consistent methodology. A lower FCI indicates a facility in better 
condition. In some cases, assessments of school facilities also include 
estimates of the costs for projects that do not specifically address a 
facility deficiency. These may include projects for bringing facilities 
into compliance with current building codes that the school was not 
required to meet when built; providing additional space in schools that 
are overcrowded; or providing equipment to meet the school's needs, 
such as a science lab facility.

Little Information Is Available on the Condition of School Facilities 
in Districts That Receive Impact Aid for Students Living on Indian 
Lands, but Data from Selected States Indicate Conditions Ranged from 
Good to Poor:

Limited independent information is available about the physical 
condition of public school facilities that receive Impact Aid funding 
for students living on Indian lands. However, three states--Montana, 
New Mexico, and Washington--have collected independent school facility 
assessments for some or all of their Indian Impact Aid school 
districts. Assessment data from these states indicate that the 
condition of Indian Impact Aid school facilities varies within states 
and ranges from good to poor. School district officials with whom we 
spoke attributed the condition of their school facilities to a number 
of factors, including age and remote location.

Limited Information Is Available at the National Level about the 
Condition of School Facilities in Indian Impact Aid School Districts:

We did not find independent nationwide data about the condition of 
school facilities in Indian Impact Aid school districts. Education and 
its research entity have collected some information regarding the 
physical condition of school facilities, but none of this information 
was based on independent assessments of school facilities and none 
covered all Indian Impact Aid school districts. According to federal 
officials with whom we spoke:

* Education collects information on the condition of Indian Impact Aid 
schools from surveys it receives from school districts that are awarded 
construction formula grants. School districts that received 
construction payments in the prior year are required to complete a 
brief survey as part of the Impact Aid application in which they rank 
the overall condition of their school facilities on a scale of 1 
(excellent) to 6 (replace). From its 2008 application, Education 
collected surveys from 181 school districts, of which 31 percent 
indicated their facilities were in good to excellent condition; 54 
percent indicated adequate to fair condition; and 15 percent indicated 
poor condition or in need of replacement. However, Education does not 
independently verify the responses or use this information in awarding 
grants, and the number of respondents represents only a small portion 
of the approximately 1,200 Impact Aid school districts that received 
Impact Aid basic support funding in 2008.

* In 2007, Education's National Center for Education Statistics (NCES) 
surveyed a nationally representative sample of 1,205 public schools 
about their school's condition.[Footnote 13], [Footnote 14] School 
principals completing the questionnaire were asked about the quality of 
their schools, including their satisfaction with the physical condition 
of their buildings. Eighty-three percent of the principals were 
satisfied or very satisfied with the physical condition of their 
permanent buildings. However, due to the small sample size, we were not 
able to obtain statistically meaningful responses for Indian Impact Aid 
schools. In addition, NCES did not independently verify the survey 
responses that were provided by school principals.

Three States Collect Independent Assessments on the Condition of School 
Facilities at Indian Impact Aid School Districts:

Among states with large numbers of Indian Impact Aid school districts 
(at least 15 districts), only Montana, New Mexico, and Washington had 
independent information about the condition of school facilities in 
some or all Indian Impact Aid school districts. These 3 states 
represented approximately 27 percent of all students living on Indian 
lands. The other states with large numbers of Indian Impact Aid school 
districts (8 of 11) had no independent information about the physical 
condition of the school facilities in their school districts (see table 
1.) For example, Alaska requires districts to assess their own 
facilities and submit condition assessment reports to apply for state 
maintenance and construction grants. However, the data Alaska collects 
about school condition are not independently verified by the state. 
Arizona began independently assessing school facilities in 2004 as part 
of its public school assessment program to ensure that schools meet 
state minimum condition standards. Arizona has collected information on 
variables related to facilities, including the number, type, and size 
of buildings and whether the school site, equipment, and building 
systems meet the state's adequacy standards. While these data can be 
used to identify deficiencies, they do not provide an overall 
assessment of whether the school facilities are in good, fair, or poor 
condition.

Table 1: Eleven States with Large Numbers of Indian Impact Aid School 
Districts in 2008:

State: Alaska; 
Number of school districts receiving Impact Aid for having students who 
live on Indian lands: 34; 
State collects independent assessments of the condition of school 
facilities: No; 
Number of Indian lands students on the basis of average daily 
attendance: 12,114; 
Percentage of national total of Indian lands students served by Impact 
Aid: 10.57%.

State: Arizona; 
Number of school districts receiving Impact Aid for having students who 
live on Indian lands: 58; 
State collects independent assessments of the condition of school 
facilities: No; 
Number of Indian lands students on the basis of average daily 
attendance: 30,383; 
Percentage of national total of Indian lands students served by Impact 
Aid: 26.52.

State: California; 
Number of school districts receiving Impact Aid for having students who 
live on Indian lands: 35; 
State collects independent assessments of the condition of school 
facilities: No; 
Number of Indian lands students on the basis of average daily 
attendance: 4,897; 
Percentage of national total of Indian lands students served by Impact 
Aid: 4.27.

State: Minnesota; Number of school districts receiving Impact Aid for 
having students who live on Indian lands: 23; 
State collects independent assessments of the condition of school 
facilities: No; 
Number of Indian lands students on the basis of average daily 
attendance: 3,530; 
Percentage of national total of Indian lands students served by Impact 
Aid: 3.08.

State: Montana; Number of school districts receiving Impact Aid for 
having students who live on Indian lands: 61; 
State collects independent assessments of the condition of school 
facilities: Yes; 
Number of Indian lands students on the basis of average daily 
attendance: 7,434; 
Percentage of national total of Indian lands students served by Impact 
Aid: 6.49.

State: New Mexico; 
Number of school districts receiving Impact Aid for having students who 
live on Indian lands: 19; 
State collects independent assessments of the condition of school 
facilities: Yes; 
Number of Indian lands students on the basis of average daily 
attendance: 18,294; 
Percentage of national total of Indian lands students served by Impact 
Aid: 15.97.

State: North Dakota; 
Number of school districts receiving Impact Aid for having students who 
live on Indian lands: 17; 
State collects independent assessments of the condition of school 
facilities: No; 
Number of Indian lands students on the basis of average daily 
attendance: 2,346; 
Percentage of national total of Indian lands students served by Impact 
Aid: 2.05.

State: Oklahoma; 
Number of school districts receiving Impact Aid for having students who 
live on Indian lands: 194; 
State collects independent assessments of the condition of school 
facilities: No; 
Number of Indian lands students on the basis of average daily 
attendance: 10,610; 
Percentage of national total of Indian lands students served by Impact 
Aid: 9.26.

State: South Dakota; Number of school districts receiving Impact Aid 
for having students who live on Indian lands: 26; 
State collects independent assessments of the condition of school 
facilities: No; 
Number of Indian lands students on the basis of average daily 
attendance: 5,839; 
Percentage of national total of Indian lands students served by Impact 
Aid: 5.10.

State: Washington; 
Number of school districts receiving Impact Aid for having students who 
live on Indian lands: 29; 
State collects independent assessments of the condition of school 
facilities: Yes; 
Number of Indian lands students on the basis of average daily 
attendance: 5,686; 
Percentage of national total of Indian lands students served by Impact 
Aid: 4.96.

State: Wisconsin; 
Number of school districts receiving Impact Aid for having students who 
live on Indian lands: 17; 
State collects independent assessments of the condition of school 
facilities: No; 
Number of Indian lands students on the basis of average daily 
attendance: 3,273; 
Percentage of national total of Indian lands students served by Impact 
Aid: 2.86.

Source: GAO analysis of Department of Education and state data. 

[End of table] 

The facility assessment programs in Montana, New Mexico, and Washington 
are unique in terms of their purpose, frequency of assessment, number 
of districts assessed, and data collected.

* In 2005, Montana's legislature authorized the appropriation of funds 
for a one-time condition and needs assessment for all K-12 public 
schools. This occurred in 2008 when Montana assessed school facilities 
in its 422 public school districts using a facility condition 
assessment approach that involved inspecting various school building 
components, identifying the observable deficiencies, and estimating the 
costs to repair the deficiencies and replace the entire facility. 
Montana inspected 11 building systems for each facility, including the 
HVAC system (heating, ventilation, and air conditioning); electrical 
system; plumbing system; foundations; exterior sidings; floor systems; 
roof systems; interior finishes (walls, floors, and windows); special 
fixtures (cabinets, chalkboards, and fixed seating); conveying systems 
(elevators); and fire and building code systems (fire detection and 
suppression, and building accessibility). Montana's inspections 
resulted in an FCI value for each school district based on assessments 
of all of the facilities in the school district. Montana's FCI used a 
scale of 0 to 100 percent and the higher the percentage, the closer the 
cost of the repairs were to the cost of a new facility. Montana 
considers school facilities with FCIs from 0 to 9 percent to be in good 
condition, FCIs from 10 to 19 percent to be in fair condition, and FCIs 
of 20 percent and greater to be in poor condition. Facilities with FCIs 
greater than 50 percent are considered to be experiencing such levels 
of fatigue that the merits of reinvestment in the existing structure 
should be carefully considered.

* New Mexico created a facility assessment program that required it to 
evaluate the capital needs of every school facility in the state, rank 
all 789 public schools in terms of needed capital improvements, and 
prioritize funding on an annual basis for those public school 
facilities most in need of repair. This program enables it to optimize 
the allocation of limited resources. In 2003, New Mexico assessed all K-
12 public school facilities and developed the New Mexico condition 
index (NMCI) that measures both the physical condition and the adequacy 
of a school facility against New Mexico's adequacy standards. Facility 
assessments include evaluations of eight building systems, including 
site utilities; structural systems (foundations, exterior walls, doors, 
and roof); interior systems (walls, ceilings, and floors); mechanical 
and plumbing systems, electrical systems; building and fire code 
systems (accessibility and fire detection suppression); equipment (gym 
equipment and technology); and special fixtures (cabinets and chalk 
boards). The NMCI incorporates weighting factors for specific 
deficiencies, such as conditions that present health or safety threats, 
inadequate space, and inadequate equipment. In addition, New Mexico's 
assessment process includes a life-cycle analysis that takes into 
consideration whether a building system is within or beyond its 
recommended life. New Mexico updates the facility condition data when 
it completes new assessments of facilities, receives new data from 
school construction applications, or receives information from the life-
cycle analysis. Each year, New Mexico uses the NMCI to rank the schools 
from the highest score (indicating those most in need of repair or 
replacement) to the lowest score and typically provides funding for the 
100 schools most in need of capital improvement.

* Washington collects building condition evaluations from school 
districts that apply for a study and survey grant. This state program 
provides school districts with funds to complete a long-range planning 
document, which is a prerequisite for state school construction 
assistance and includes an independent evaluation of school facilities. 
Washington provided the evaluation information to us for the 118 school 
districts that have submitted building evaluations since 2003, 
including 9 evaluations from Indian Impact Aid school districts and 109 
from other school districts, from a total of 295 school districts 
statewide. School districts may apply for a study and survey grant once 
every 6 years. As a part of the process to complete the building 
condition evaluation form, the building inspector scores the condition 
of various components of a building's exterior system (foundation, 
wall, and roof); interior system (floor, wall, and ceiling); mechanical 
system (electrical, plumbing, and HVAC); and safety and building code 
system (fire alarm and detection, and emergency lighting). Each 
building component is awarded points based on its assessed condition. 
For example, if the inspector determines the exterior walls of the 
facility to be in good condition, a total of 8 points can be awarded 
compared with a total of 2 points that can be awarded if the exterior 
doors and windows are determined to be in good condition. The component 
scores are summed to create the buildings' evaluation score, which can 
range from 0 to 100 points. The building evaluation scores can provide 
relative information about the condition of different facilities, but 
they differ from FCI calculations because they do not include an 
estimate of the repair and replacement costs. According to state 
officials, the building evaluation scores are used in the process for 
prioritizing school districts for funding. The scores are not used to 
categorize school districts in terms of the condition of their 
facilities. However, the evaluations of several school districts in 
Washington conducted by one consultant included a scoring table that 
associated different building scores to different levels of condition. 
Based on this table, a score of 90 to 100 indicates good condition, a 
score of 60 to 89 indicates fair condition, a score of 30 to 59 
indicates poor condition, and a score of 0 to 29 indicates 
unsatisfactory condition.

Montana, New Mexico, and Washington each measure facility condition 
differently, and, as a result, we are not able to make comparisons 
about school condition among the states. For example, Montana 
calculated FCIs on the basis of the condition of 11 building systems, 
while New Mexico calculated FCIs on the basis of 8 building systems. 
Washington's school facility evaluations use a 0 to 100 point scale, 
rather than an FCI calculation. Since each state applied the same 
method for all schools within the state, we are able to compare 
districts within states.

Data from 3 States Indicated Condition of School Facilities at Indian 
Impact Aid School Districts Ranged from Good to Poor:

Montana:

Montana's assessment data showed that most of its Indian Impact Aid 
school districts' facilities were in good condition, although a larger 
proportion of other school districts--that is, those that do not 
receive Impact Aid for students residing on Indian lands--had 
facilities in good condition. (See figure 1.) 

Figure 1: Condition of School Facilities in Montana's Indian Impact Aid 
and Other School Districts:

[Refer to PDF for image: two pie-charts]

Indian Impact Aid school districts (60 total): 
Good: 65% (39 districts); 
Fair: 28% (17 districts); 
Poor: 7% (4 districts). 

Other school districts (362 total): 
Good: 79% (286 districts); 
Fair: 18% (66 districts); 
Poor: 3% (10 districts). 

Source: GAO analysis of Montana data. 

Note: The number of Indian Impact Aid school districts and other school 
districts is based on 2008 data from the Department of Education, the 
most recent data available at the time of this analysis. 

[End of figure] 

Montana's data indicated that most of the school facilities' building 
systems were in good condition. For example, 75 to 100 percent of the 
Indian Impact Aid school districts had roof systems, HVAC systems, 
plumbing systems, building foundations, and floor systems that were in 
good condition. The data were similar for the other school districts. 
On the other hand, the assessment data indicated that about one-half of 
the Indian Impact Aid and other school districts had fire and building 
code systems and about one-quarter had electrical systems that were in 
poor condition. The biggest difference between the Indian Impact Aid 
and other school districts was the condition of their interior 
finishes, with respective rates of 50 percent and 78 percent that were 
in good condition, 30 percent and 13 percent that were in fair 
condition, and 20 percent and 9 percent that were in poor condition.

New Mexico:

New Mexico uses its facility assessment information and the NMCI to 
rank its schools relative to their capital needs and does not define 
specific NMCI levels that would correlate to schools being considered 
in good, fair, or poor condition. According to a New Mexico official, 
excluding the equipment and special fixtures systems and the weighting 
factors from New Mexico's assessment data would result in a more 
traditional FCI.[Footnote 15] After making these adjustments, the 
analysis of New Mexico's data indicated that all of the Indian Impact 
Aid school districts had facilities that were in either good or fair 
condition. The data were similar for New Mexico's other school 
districts with 84 percent having facilities that were in good or fair 
condition. None of the Indian Impact Aid and less than a fifth of the 
other school districts had facilities that were in poor condition. (See 
figure 2.) 

Figure 2: Condition of School Facilities in New Mexico's Indian Impact 
Aid and Other School Districts:

[Refer to PDF for image: two pie-charts]

Indian Impact Aid school districts (19 total): 
Good: 48% (9 districts); 
Fair: 53% (10 districts). 

Other school districts (70 total): 
Good: 39% (27 districts); 
Fair: 46% (32 districts); 
Poor: 16% (11 districts). 

Source: GAO analysis of New Mexico data. 

Note: The number of Indian Impact Aid school districts and other school 
districts is based on 2008 data from the Department of Education, the 
most recent data available at the time of this analysis. Also, totals 
may not add to 100 percent because of rounding. 

[End of figure] 

According to New Mexico's data, most Indian Impact Aid and other school 
districts had building systems that were in good to fair condition. The 
school districts' structural systems were in the best shape overall--95 
percent of the Indian Impact Aid and about 87 percent of the other 
school districts had structural systems that were in good condition. 
New Mexico's data showed that at least one-half of the Indian Impact 
Aid school districts had electrical systems that were in good 
condition, while at least one-half of both types of school districts 
had building and fire code systems that were in good condition. 
Although about one-half of the Indian Impact Aid and other school 
districts had site utility systems that were in good condition, this 
was also the building category with the highest proportion of districts 
that were in the poor condition category. For the remaining two 
building systems, New Mexico's data indicated that about one-quarter of 
the Indian Impact Aid and other school districts had mechanical and 
plumbing systems that were in good condition and one-third of the 
Indian Impact Aid and one-quarter of the other school districts had 
interior systems that were in good condition.

Washington:

Washington's data were based on evaluations from 118 of 295 school 
districts, including 9 of 29 Indian Impact Aid school districts and 109 
of 266 other school districts.[Footnote 16] As we have previously 
discussed, Washington does not categorize school districts in terms of 
their condition, but one consultant has associated the building scores 
with different levels of condition. For our analysis, we used this 
consultant's scoring table to categorize the school districts' 
facilities as being in good, fair, or poor condition. Based on this 
scoring table, the state's data showed that 4 Indian Impact Aid school 
districts were in fair condition and 5 were in poor condition. The data 
indicated that none of the Indian Impact Aid districts were in good 
condition. The data showed that 2 percent (2) of the other 109 school 
districts were in good condition, 55 percent (60) were in fair 
condition, and 43 percent (47) were in poor condition.[Footnote 17]

Washington's data indicated that none of the 9 Indian Impact Aid school 
districts and about 14 percent of the other school districts had 
building systems in good condition. Washington's data showed 5 to 7 of 
the 9 Indian Impact Aid school districts had exterior building systems, 
interior building systems, and safety and building code systems that 
were in fair condition and 6 districts had mechanical systems that were 
in poor condition. The data were less clear-cut for the 109 other 
school districts, although they showed that almost two-thirds (67) of 
these districts had mechanical systems that were in poor condition and 
almost three-fourths (81) had exterior systems that were in fair 
condition.

School District Officials Identified Several Factors That Contribute to 
Facility Conditions, Including Fiscal Capacity, Age, and Location:

While localities often rely on issuing bonds to raise funds for school 
renovations and new construction, the officials at most of the school 
districts we visited commented that their restricted tax base impacts 
their ability to issue bonds. Officials in one New Mexico school 
district said that they were able to secure a limited level of bonding 
on the basis of expected Impact Aid funds. Most officials said that 
they are unable to issue bonds because so few property owners pay 
taxes, which is a source of revenue to repay the bonds. Some officials 
said they accumulate funds over time for a reserve to pay for emergency 
repairs and larger maintenance and major capital improvement projects. 
These officials said that Impact Aid is critical to their ability to 
accumulate such funds. According to officials in one Arizona school 
district, Impact Aid funds made it possible for the district to 
accumulate several million dollars that it plans to spend in 2010 on 
building improvements (e.g., upgrading windows) and digging a water 
well. At one school district in Montana, officials said that they 
maintain an emergency fund because without such a reserve, a major 
problem with a facility could cause a school to be closed. 
Additionally, several school district officials in Arizona and New 
Mexico said that they often need to replace roofs, but generally have 
to partially repair or patch them until sufficient funds are 
accumulated for a replacement.

District officials told us that older schools, like any older 
buildings, are often expensive to maintain because they are less 
efficient and other problems are more likely to surface once a repair 
is started. At both school districts we visited in Montana, officials 
said that the districts' schools are quite old, with sections in one 
district dating back to 1919 and the other dating back to 1930. School 
district officials said some buildings are still heated by boilers 
originally installed in the 1940s. Officials from one of the Montana 
school districts told us that they replaced the boiler at their high 
school 2 years ago after accumulating the funds necessary for the 
project over several years. This year, officials expect to replace the 
elementary school boiler--originally installed in 1942 (see fig. 3). 
According to district officials, the older boilers are inefficient and 
make it difficult to maintain a comfortable building temperature. 
Several school district officials in Arizona, Montana, and Washington 
also said that their older buildings have single pane windows, which 
make it difficult to maintain an adequate classroom temperature 
compared with more efficient double pane windows. Officials also said 
that the older buildings generally do not meet and are not required to 
meet the current building codes, and attempts to retrofit buildings to 
make them more accessible are often difficult and expensive.

Figure 3: Examples of Old and New School Heating Systems in One Montana 
School District:

[Refer to PDF for image: two photographs] 

Photographs of: 
Elementary school’s 1942 boiler; 
High school’s recently installed heating system. 

Source: GAO. 

[End of figure]

A school's remote location was also cited as a contributing factor to 
facility conditions. Several of the school districts we visited were 
located in remote areas, and one district spanned about 3,000 square 
miles. School district officials in New Mexico and Arizona said that 
because of their remote locations, quality services may be difficult to 
obtain and may cost more. School officials in these states said higher 
costs are often due to a lack of commercial builders in rural areas. 
For example, at one remote school district we visited in New Mexico, 
officials said the area lacks maintenance services for HVAC and quality 
roofing contractors. Officials said the HVAC system needs constant 
repairs, and repair services take longer and cost more when contractors 
must travel from urban to rural areas. According to officials from one 
New Mexico district, to minimize the number of trips and effectively 
respond to building repairs among schools that span 60 miles, 
maintenance personnel are required to check the online maintenance 
system at the school for any work orders that can be completed while 
maintenance personnel are on location. State officials in New Mexico 
are also trying to understand whether relative remoteness was a factor 
in building two different schools for about 100 students that cost $3.5 
million in one remote area of the state and $8 million in another 
remote area. The state has appointed a task force to address concerns 
that some remote school districts are not receiving the same quality of 
services as others from electricians, carpenters, and other contractors.

Some Research Suggests That Better School Facilities Are Associated 
with Better Student Outcomes, and School District Officials Agreed, but 
There Is Little Evidence of a Causal Relationship:

The research studies we reviewed on the relationship between the 
condition of school facilities and student outcomes often showed that 
better facilities were associated with better student outcomes; 
however, there is not necessarily a direct causal relationship, and the 
associations were often weak compared with their associations with 
other factors. Also, some researchers suggest that specific 
characteristics of facilities, such as lighting, may be directly 
associated with student outcomes. Other characteristics of facilities, 
such as the general condition of the buildings, may be indirectly 
associated with student outcomes through their effects on other 
factors. We identified and reviewed 24 studies that analyzed the 
relationship between facility conditions and student outcomes. A 
majority of these studies indicated that better school facilities were 
associated with better student outcomes--such as higher scores on 
achievement tests or higher student attendance rates.[Footnote 18] Most 
of the studies measured the extent to which better school facilities 
were associated with better outcomes after taking into account the 
impact of other factors that can affect student outcomes, such as 
poverty and other demographic characteristics.[Footnote 19] However, 
none of these studies proves that better facilities caused better 
student outcomes. About one-half of the studies we reviewed examined 
broad measures, such as the general condition of the school buildings 
based on evaluations by facilities specialists or by teachers, or the 
suitability of school buildings--the extent to which district officials 
rated the facilities as being suitable for the grades being served. 
Based on these studies, it is unclear to what extent better facility 
conditions contribute to better student outcomes, or whether the 
associations identified may exist because other factors, such as the 
level of community commitment to education, contribute to both better 
facilities and better student outcomes, and none proved a causal 
relationship. The other studies focused on specific aspects of 
facilities, such as heating, air conditioning, ventilation, or 
lighting. None of the studies we examined was able to conclusively 
determine how much school facility conditions contribute to student 
outcomes relative to other factors, such as the educational achievement 
of students' parents or teachers' qualifications.

Studies of Broad School Facilities Measures:

Of the studies that focused on broad measures, such as measures of 
physical conditions or the suitability of school facilities, about one- 
half (7 of 13) found that schools with better facilities generally had 
better student outcomes. These included cases in which researchers 
noted possible direct connections between better facilities and student 
outcomes and cases in which they noted indirect connections, with 
better facilities contributing to conditions that in turn contribute to 
better student outcomes. Some studies indicated associations between 
facilities and student outcomes with some but not all measures of 
student outcomes.[Footnote 20] One of the studies examining all 
elementary and secondary schools in the District of Columbia estimated 
that students attending schools in fair condition had average 
achievement test scores 5.45 points higher on a 0 to 100 point scale 
than those attending schools in poor condition.[Footnote 21] This was 
the case after taking into account other factors that may have an 
influence on student achievement, such as race and income. Similarly, a 
study in the Los Angeles Unified School District found that in schools 
with facilities that met health and safety compliance requirements, the 
schools' average student California Academic Performance Index scores 
were likely to be higher.[Footnote 22] Compared with schools in the 
lowest compliance category, schools in the highest compliance category 
had an estimated average score that was 36 points higher on the 
composite index, with scores ranging from 200 to 1,000. This was the 
result after taking into account factors, such as the percentage of 
students eligible for free or reduced price school lunch and the 
percentage of students who were black or Hispanic. This study found 
that although the school facilities that were in better condition were 
associated with better student achievement, some of the other important 
factors, such as poverty, were more strongly associated with 
achievement. For example, holding all else constant, schools with the 
lowest percentage of students who were eligible for free or reduced 
price lunch were expected to have average achievement scores 113 points 
higher on the 200 to 1,000 point scale than schools in which all 
students were eligible for free or reduced price lunch--more than three 
times the estimated difference between school facilities in the worst 
and the best compliance categories.

One study used a potentially more rigorous methodology by comparing 
achievement test scores at schools before and after renovation of 3 of 
the district's 21 elementary schools.[Footnote 23] The study showed 
that math, but not reading test scores, improved as the proportion of 
students in recently renovated schools increased. The researcher 
concluded that a larger sample would be needed to provide better 
evidence of a connection between school facilities and student 
achievement.

Another study found no association between better school facilities in 
Wyoming and student achievement. The study found that before and after 
taking into account the income status of students' families, there was 
no statistically significant association between schools in better 
condition and schools with higher average achievement.[Footnote 24] 
Similarly, no statistically significant association was found between 
student achievement and the suitability of the school facilities.

School district officials at all of the eight Indian Impact Aid school 
districts we visited said that in their experience, better school 
facilities are associated with better student outcomes, though they 
also often cited other factors that some believed had more influence, 
such as whether students' families placed a high value on education. 
Several district officials noted that many of their students are from 
low-income families that may not place an emphasis on education. 
Although officials in several districts we visited said their students 
are affected by the condition of school facilities just as other 
students are affected, other officials remarked that their students, 
who often come from homes in poor condition, may be especially affected 
by a school's good condition because it provides a more comfortable 
environment.

Some studies indicate that better facilities can contribute to student 
outcomes indirectly--through their effects on other factors--and school 
officials with whom we spoke believed this was true in their districts. 
For example, a study of Virginia middle schools indicated that although 
better student achievement was associated with the quality of school 
facilities, better student achievement was more highly associated with 
a variable identified as "school climate," which measures attitudes in 
the school community that support learning, such as students' respect 
for others who get good grades and teachers' commitment to helping 
students.[Footnote 25] The authors concluded that rather than having a 
direct effect on student achievement, better school facilities can 
indirectly influence student achievement by contributing to a good 
school climate for learning. School officials we interviewed noted that 
good facilities contribute to students' pride in their school. One 
official noted that good school facilities send a message to students 
that the community values education, which can result in better student 
outcomes. Similarly, a study of New York City elementary schools found 
that better school building conditions were associated with better 
student attendance rates, and that these in turn were associated with 
better English and math achievement.[Footnote 26]

Several school officials also noted the importance of good school 
facilities for attracting and retaining good teachers who in turn can 
improve student achievement. Research points to teacher quality as an 
important school-level factor that influences student learning. 
[Footnote 27] The association between good school facilities and 
teacher retention was the focus of one study that identified several 
factors associated with teachers' plans to remain another year in their 
current school, including better school facility conditions.[Footnote 
28] This study found an association between the school facility and 
teacher retention even after taking into account several other factors, 
including the teachers' ages, their tenure at the school, and their 
satisfaction with pay and the community.

Studies of Specific Characteristics of School Facilities:

Studies we reviewed that focused on the effect of specific 
characteristics of the school facility found that some factors, such as 
lighting, are directly associated with better outcomes. Rather than 
simply examining whether students have enough light to be able to see 
classroom materials, some studies have examined the extent to which 
classrooms provide daylight or light that simulates daylight. For 
example, a study of 24 elementary schools in Georgia found that third- 
grade students in classrooms with more daylight had higher average 
achievement test scores after taking into account the free or reduced 
price lunch variable and other aspects of the school facility design. 
Including daylight in the analysis explained an additional 2.5 percent 
of the variation in average test scores among the schools.[Footnote 29] 
Similarly, a study of 102 schools in California, Colorado, and 
Washington found that students in the classrooms with the most daylight 
increased their test scores overall about 21 percent more than those 
students in rooms with the least amount of daylight after taking into 
account additional information, including teacher characteristics and 
grade levels. A follow-up study taking into account additional 
information, including teacher characteristics and grade levels 
confirmed these findings, showing that students in the classrooms with 
the most daylight increased their test scores overall about 21 
percent.[Footnote 30] Another study found that classrooms with full- 
spectrum fluorescent light bulbs, which simulate daylight, were 
associated with faster academic progress compared with classrooms using 
high-pressure sodium vapor bulbs, which do not simulate daylight as 
well.[Footnote 31] Average test scores in classrooms with full-spectrum 
bulbs indicated that students increased their level of academic 
achievement by about 2 grade levels over the 2-year study period, 
compared with 1.6 years for students in classrooms with the high- 
pressure sodium vapor bulbs.

Few of the school administrators with whom we spoke cited lighting as a 
factor related to student outcomes, although we found that the extent 
to which students were exposed to natural light varied in the schools 
we visited. While many schools had classrooms with windows that let in 
light, the level of natural light varied considerably. One school had 
installed dividing walls to create smaller classrooms out of large 
spaces, and some of the resulting classrooms had no natural light. In 
at least one school we visited in Washington, renovations included 
upgrading lighting to provide full-spectrum light and reduce energy use.

Studies examining the quality of air in classrooms found associations 
between better air quality and better health or lower absenteeism. A 
study of schools in Finland found that in an elementary school with 
moisture or mold problems, there was a higher occurrence of respiratory 
infections, repeated wheezing and prolonged coughing, and emergency 
room visits than in other schools.[Footnote 32] Another study of 
schools in Finland had similar results and showed that although 
background concentrations of fungi in wooden buildings were 
significantly higher than in concrete or brick buildings, moisture 
damage increased fungal concentrations significantly in the concrete or 
brick buildings, but not in wooden school buildings. Moisture damage 
increased the likelihood that students would have respiratory symptoms 
in schools constructed of concrete or bricks.[Footnote 33] Another 
Swedish study found that two day-care centers that installed 
electrostatic air cleaning systems reduced the concentrations of fine 
particles in the air, and absenteeism fell by 55 percent at the larger 
center and by a smaller proportion at the smaller center.[Footnote 34] 
Absenteeism almost returned to the original level after the system at 
the larger center was turned off. Another study found that new 
ventilation systems in Swedish schools reduced the prevalence of 
asthmatic symptoms in classrooms compared with those without the new 
systems.[Footnote 35] Studies in Danish elementary school classrooms 
found that ventilation systems that drew in larger volumes of outdoor 
air were associated on average with an 8 percent increase in the speed 
at which students worked.[Footnote 36] Air quality was a concern in two 
of the districts we visited, such as at a middle school we visited in 
Washington where the main hallway had no ventilation or air circulation 
and the stale air had a noticeable odor. School administrators cited 
the poor air quality as a concern they felt was a high priority to 
address. Another school in the same district faced complaints about air 
quality, and administrators speculated that the air quality was 
adversely affected by old carpeting.

One study considered the effects of temperature control in elementary 
schools in Denmark and found an association between comfortable 
temperatures and student performance. The study found that reducing 
classroom temperatures from 77 degrees Fahrenheit was associated with 
improved speed in math and language tests. The study indicated that a 
1.8 degree Fahrenheit drop in temperature was associated with about a 4 
percent increase in the speed at which students worked. The number of 
errors students made decreased when performing some tasks, but not 
others. School officials in several districts we visited cited 
difficulties in maintaining comfortable temperatures in classrooms and 
concurred that when students are too cold or too warm, it is difficult 
for them to concentrate on their studies.

Agency Comments:

We provided a draft of the report to the Department of Education for 
review and comment. We received technical clarifications from 
Education's Impact Aid Program within the Office of Elementary and 
Secondary Education, which we incorporated in the report as appropriate.

We are sending copies of this report to the appropriate congressional 
committees, the Secretary of Education, and other interested parties. 
In addition, the report will be available at no charge on GAO's Web 
site at [hyperlink, http://www.gao.gov].

If you or your staff have any questions about this report, please 
contact Cornelia Ashby on (202) 512-7215 or ashbyc@gao.gov; or Terrell 
Dorn on (202) 512-6923 or dornt@gao.gov. Contact points for our Offices 
of Congressional Relations and Public Affairs may be found on the last 
page of this report. GAO staff who made key contributions to this 
report are listed in appendix IV.

Sincerely yours, 

Signed by: 

Cornelia M. Ashby: 
Director, Education, Workforce, and Income Security Issues:

Signed by: 

Terrell G. Dorn: 
Director, Physical Infrastructure Issues:

[End of section]

Appendix I: Objectives, Scope, and Methodology:

To determine what information is available about the physical condition 
of school facilities in Indian Impact Aid school districts and what is 
known about how the condition of school facilities affects student 
outcomes, we interviewed officials from state and federal agencies, and 
associations and reviewed relevant federal laws and regulations. This 
included interviews with officials from the Department of Education's 
National Center for Education Statistics (NCES); state education 
agencies; school districts; and education associations, including the 
National Indian Impacted Schools Association, the National Association 
of Federally Impacted Schools, National Council for Impacted Schools, 
National Indian Education Association, as well as state Indian 
education officials in Washington and Montana. We conducted a 
literature search to identify research studies and analyzed selected 
studies. We also visited school districts in four states--Arizona, 
Montana, New Mexico, and Washington.

To determine what information is available about the physical condition 
of school facilities in Indian Impact Aid school districts, we 
contacted officials from Education's Impact Aid Office, NCES, and 
Indian Impact Aid associations for independent national data on school 
condition. We decided to accept only assessment data that were prepared 
by an independent party with no apparent vested interest in the results 
of the assessment. We determined that Education collects surveys about 
school condition from school districts that received an Impact Aid 
construction formula grant, but we determined that the survey data were 
of limited use because they were not based on independent assessments 
and did not cover all Indian Impact Aid schools. We determined that 
although NCES published the results of its study of a nationally 
representative sample of school districts in which it asked school 
principals about the condition of their schools, we could not use these 
data because we are not able to obtain statistically meaningful 
responses for Indian Impact Aid schools due to sample size, and NCES 
did not independently verify the survey responses that were provided by 
school principals. We found that national associations like the 
National Indian Impacted Schools Association and the National Council 
for Impacted Schools do not document the condition of school facilities 
in Indian Impact Aid school districts.

Because we could not identify a source for nationwide data, we sought 
state-level data. Education provided us with the list of states with 
school districts that received fiscal year 2008 Impact Aid funds for 
students living on Indian lands. From this list of 27 states, we 
identified 11 states with a large number of Indian Impact Aid districts 
(at least 15 districts) and contacted their state education officials 
to determine whether they had independent assessment data about the 
physical condition of public school facilities. We determined that four 
states--Arizona, Montana, New Mexico, and Washington--had assessment 
data for some or all of their public schools.

We obtained and analyzed these data from the four states, which did not 
maintain the data in similar fashions. Montana and its contractor 
provided us with a copy of its complete school building and system- 
level analyses of repair and replacement costs, which we used to 
generate our school district-level analysis. New Mexico provided us 
with school district-level data of building system repair and 
replacement costs. Arizona collected only deficiency information at the 
school building-level, which we used to create our district-level 
information for site selection. Washington maintained hard copies of 
the building-level evaluation reports, which we keypunched to create 
raw data for district-level files. On the basis of our analysis, we 
were able to describe the condition of schools in Indian Impact Aid 
districts in three of the four states. We determined that these data 
were sufficiently reliable for the analysis used in this report. We 
were not able to use Arizona's data because, although it describes a 
variety of information, including the number, type, and size of 
buildings and whether the school site and building systems meet the 
state's adequacy standards, the data do not determine whether the 
school facilities are in good, fair, or poor condition. For the other 
three states, we combined the facilities data with Education's Common 
Core of Data to describe the characteristics of the school districts, 
which we used for selecting school districts for site visits.

Because each state's assessment program is unique, it does not allow 
for comparisons among states. For example, while both Montana and New 
Mexico create a facility condition index that is based on the ratio of 
renewal cost to replacement cost, New Mexico weights deficiencies in a 
manner consistent with its own state priorities, (e.g., classroom 
space); whereas, Montana does not rely on any explicit weighting 
scheme. In addition, each state bundled its building system groups 
differently, consistent with state priorities with the respective 
indexes for each bundle being incorporated into the calculation of the 
overall facility condition index. In contrast, the assessment program 
in Washington does not calculate a facility condition index. Only 
districts seeking funds for planning grants or construction participate 
in the Washington assessment program, unlike in Montana and New Mexico 
where all school districts were assessed. Because of these differences, 
facility condition measures are not strictly comparable across states. 
While comparison among states would not be valid to evaluate the 
condition of schools in Indian Impact Aid districts, the condition of 
school facilities can safely be compared within each state. This 
comparison allows for an assessment of the quality of school condition 
in Indian Impact Aid districts relative to that of other districts in 
the same state.

In Washington, only districts applying for a study and survey grant 
submit documentation of the condition of their school facilities. The 
districts that do participate in the study and survey grant program are 
required to provide matching funds, which in turn may indicate the 
ability to obtain school board or community approval to levy a bond. Of 
29 Indian Impact Aid school districts, 9 have submitted building 
evaluation reports since 2003. Similarly, 109 of 266 other school 
districts statewide have completed and submitted an evaluation report 
for their district. Because less than one-half of the districts 
submitted evaluation data and the districts that did are self-selected, 
it is not known whether the assessed districts differ systematically 
from the nonassessed group. In addition, whether and how systematic 
differences between the assessed and nonassessed groups occur could be 
different for Indian Impact Aid districts and other districts in 
Washington. Differences in facility condition between Indian Impact Aid 
districts and other districts in Washington could be attributable to 
these underlying selection-related differences and not to any real 
differences between the two populations of school districts in 
Washington.

We selected two school districts in each of the four states to visit to 
obtain district officials' perspectives on factors that affect facility 
maintenance and to observe their facilities. We selected districts that 
provided variety on the basis of selection criteria, such as 
information about the relative condition of the school districts' 
facilities, the proportion of the school district's revenue composed of 
Impact Aid, proportion of students who are Indians, and number of 
students enrolled. (See table 2.):

Table 2: Characteristics of Site Visit School Districts:

State: Arizona; 
School district: Indian Oasis-Baboquivari; 
State facility score: [A]; 
Impact Aid as a percentage of revenue 2005-06: 28%; 
Indians as a percentage of all students in 2006: 99%; 
Student average daily attendance in 2007: 1,042.

State: Arizona; 
School district: Sanders; 
State facility score: [A]; 
Impact Aid as a percentage of revenue 2005-06: 37%; 
Indians as a percentage of all students in 2006: 98%; 
Student average daily attendance in 2007: 934.

State: Montana; 
School district: Dixon; 
State facility score: 8[B]; 
Impact Aid as a percentage of revenue 2005-06: 19%; 
Indians as a percentage of all students in 2006: 50%; 
Student average daily attendance in 2007: 84.

State: Montana; 
School district: St. Ignatius; 
State facility score: 20[B]; 
Impact Aid as a percentage of revenue 2005-06: 16%; 
Indians as a percentage of all students in 2006: 55%; 
Student average daily attendance in 2007: 449.

State: New Mexico; 
School district: Central Consolidated; 
State facility score: 15[B]; 
Impact Aid as a percentage of revenue 2005-06: 31%; 
Indians as a percentage of all students in 2006: 89%; 
Student average daily attendance in 2007: 6,343.

State: New Mexico; 
School district: Zuni; 
State facility score: 6[B]; 
Impact Aid as a percentage of revenue 2005-06: 38%; 
Indians as a percentage of all students in 2006: 99%; 
Student average daily attendance in 2007: 1,382.

State: Washington; 
School district: Mt. Adams; 
State facility score: 51[C]; 
Impact Aid as a percentage of revenue 2005-06: 27%; 
Indians as a percentage of all students in 2006: 65%; 
Student average daily attendance in 2007: 951.

State: Washington; 
School district: Wapato; 
State facility score: 72[C]; 
Impact Aid as a percentage of revenue 2005-06: 7%; 
Indians as a percentage of all students in 2006: 26%; 
Student average daily attendance in 2007: 3,207.

Source: GAO analysis of Department of Education and state data.

[A] Arizona did not identify a score. Selection was based on lists of 
deficiencies in the state's database, comments from state facility 
assessors, and other information.

[B] For Montana and New Mexico, a lower score indicates school 
facilities are in better condition.

[C] For Washington, a higher score indicates school facilities are in 
better condition. 

[End of table] 

To determine what is known about how school facilities affect student 
outcomes, we conducted a search for research studies that addressed 
this topic. We identified studies dating back to 1980 and selected 
those that were either from peer-reviewed journal articles or were 
methodologically rigorous studies from (or sponsored by) other sources, 
such as government institutions. Two GAO staffers, one analyst from the 
audit team and one methodologist from the research group, 
systematically reviewed each of the studies selected, evaluating the 
design, measurement strategies, and methodological integrity and 
entering this information into a database. From more than 100 studies 
that we initially selected, 24 were selected to be included in our 
review. We excluded studies because, for example, they did not provide 
sufficient detail on the analytical approach or failed to control for 
other plausible explanations for differences. The selected studies were 
sufficiently rigorous and included tests of hypotheses; measures of 
association; and multivariate techniques, such as ordinary least 
squares regression (see table 3).

Table 3: Number of Selected Research Studies on Selected Facility and 
Student Outcome Variables:

Facility variable: General condition or suitability; 
Student outcome variables: 
Achievement test scores: 12; 
Health and well-being: 0; 
Student attendance and dropout rates: 2; 
Student behavior: 0.

Facility variable: Lighting; 
Student outcome variables: 
Achievement test scores: 3; 
Health and well-being: 2; 
Student attendance and dropout rates: 3; 
Student behavior: 1.

Facility variable: Air quality, ventilation, and climate control; 
Student outcome variables: 
Achievement test scores: 1; 
Health and well-being: 4; 
Student attendance and dropout rates: 1; 
Student behavior: 0.

Facility variable: Crowding; 
Student outcome variables: 
Achievement test scores: 2; 
Health and well-being: 0; 
Student attendance and dropout rates: 1; 
Student behavior: 0.

Facility variable: Special equipment; 
Student outcome variables: 
Achievement test scores: 1; 
Health and well-being: 0; 
Student attendance and dropout rates: 0; 
Student behavior: 0.

Facility variable: Acoustics; 
Student outcome variables: 
Achievement test scores: 1; 
Health and well-being: 0; 
Student attendance and dropout rates: 0; 
Student behavior: 1.

Facility variable: Other; 
Student outcome variables: 
Achievement test scores: 3; 
Health and well-being: 0; 
Student attendance and dropout rates: 0; 
Student behavior: 0.

Source: GAO analysis of selected studies.

Note: A single study may have included more than one facility variable 
or more than one student outcome variable. For additional information 
about selected results of these studies, see appendix III. 

[End of table] 

In addition to these 24 studies, we reviewed 4 additional studies that 
focused on the relationship between facility condition and teacher 
outcomes rather than student outcomes. The selected studies were 
sufficiently rigorous and included tests of hypotheses; measures of 
association; and multivariate techniques, such as ordinary least 
squares regression.

Each of these studies is subject to certain methodological limitations, 
which limit the extent to which the results can be generalized to 
school facilities in general or to school facilities in Indian Impact 
Aid districts. Many of the studies focus on comparisons of schools 
without information about the outcomes in schools before and after 
changes in school facilities. This makes it difficult to isolate the 
effects of improvements in school facilities. Some studies used small 
samples or had low response rates to surveys or had missing data for 
many schools in the original sample. Several studies focused on schools 
in other countries and the extent to which their results are applicable 
to schools in the United States is uncertain. In at least one case, the 
research was funded in part by a group--such as a building association--
that may have had an interest in the results.

We conducted our work from September 2008 to October 2009 in accordance 
with all sections of GAO's Quality Assurance Framework that are 
relevant to our objectives. The framework requires that we plan and 
perform the engagement to obtain sufficient and appropriate evidence to 
meet our stated objectives and to discuss any limitations in our work. 
We believe that the information and data obtained, and the analysis 
conducted, provide a reasonable basis for any findings in this product.

[End of section]

Appendix II: List of School Districts That Received Indian Impact Aid 
in Fiscal Year 2009:

Table 4 contains a list of the 25 states with public school districts 
that had received Indian Impact Aid for fiscal year 2009, as of August 
2009. We use the term Indian Impact Aid to refer to school districts 
that qualify to receive Impact Aid basic support funding because they 
meet the minimum eligibility criteria, namely they have at least 400 
students in average daily attendance who are federally connected, in 
this case who reside on Indian lands, or such students comprise at 
least 3 percent of the total number of students in the district. The 
table also lists for each district the total number of students living 
on Indian lands in average daily attendance for the previous school 
year, this number as a percentage of the total number of students in 
average daily attendance, and the amount of Impact Aid basic support 
payments each district received for students residing on Indian lands 
under section 8003(b) of the Elementary and Secondary Education Act of 
1965, as amended. These amounts do not include basic support payments 
for other students with connections to other federal lands, children 
with disabilities, or construction grants under section 8007.

Table 4: States with School Districts Receiving Impact Aid for Students 
Residing on Indian Lands, Fiscal Year 2009 (as of August 2009):

State: Alaska; 
Indian Impact Aid school districts[A]: 31; 
Students living on Indian lands[B]: 11,746; 
Percentage of all students living on Indian lands[C]: 52%; 
Basic support payments[D]: $83,166,785.

State: Arizona; 
Indian Impact Aid school districts[A]: 63; 
Students living on Indian lands[B]: 29,772; 
Percentage of all students living on Indian lands[C]: 15%; 
Basic support payments[D]: 149,112,370.

State: California; 
Indian Impact Aid school districts[A]: 39; 
Students living on Indian lands[B]: 4,947; 
Percentage of all students living on Indian lands[C]: 11%; 
Basic support payments[D]: 13,878,219.

State: Colorado; 
Indian Impact Aid school districts[A]: 2; 
Students living on Indian lands[B]: 597; 
Percentage of all students living on Indian lands[C]: 16%; 
Basic support payments[D]: 1,614,485.

State: Idaho; 
Indian Impact Aid school districts[A]: 5; 
Students living on Indian lands[B]: 991; 
Percentage of all students living on Indian lands[C]: 17%; 
Basic support payments[D]: 3,683,788.

State: Iowa; 
Indian Impact Aid school districts[A]: 1; 
Students living on Indian lands[B]: 186; 
Percentage of all students living on Indian lands[C]: 13%; 
Basic support payments[D]: 503,421.

State: Kansas; 
Indian Impact Aid school districts[A]: 2; 
Students living on Indian lands[B]: 264; 
Percentage of all students living on Indian lands[C]: 19%; 
Basic support payments[D]: 880,380.

State: Maine; 
Indian Impact Aid school districts[A]: 3; 
Students living on Indian lands[B]: 188; 
Percentage of all students living on Indian lands[C]: 98%; 
Basic support payments[D]: 1,311,219.

State: Massachusetts; 
Indian Impact Aid school districts[A]: 1; 
Students living on Indian lands[B]: 13; 
Percentage of all students living on Indian lands[C]: 4%; 
Basic support payments[D]: 6,458.

State: Michigan; 
Indian Impact Aid school districts[A]: 12; 
Students living on Indian lands[B]: 980; 
Percentage of all students living on Indian lands[C]: 13%; 
Basic support payments[D]: 3,787,902.

State: Minnesota; 
Indian Impact Aid school districts[A]: 21; 
Students living on Indian lands[B]: 3,564; 
Percentage of all students living on Indian lands[C]: 24%; 
Basic support payments[D]: 15,899,283.

State: Montana; 
Indian Impact Aid school districts[A]: 60; 
Students living on Indian lands[B]: 7,344; 
Percentage of all students living on Indian lands[C]: 52%; 
Basic support payments[D]: 38,805,035.

State: Nebraska; 
Indian Impact Aid school districts[A]: 5; 
Students living on Indian lands[B]: 1,020; 
Percentage of all students living on Indian lands[C]: 73%; 
Basic support payments[D]: 6,938,529.

State: Nevada; 
Indian Impact Aid school districts[A]: 6; 
Students living on Indian lands[B]: 1,074; 
Percentage of all students living on Indian lands[C]: 1v; 
Basic support payments[D]: 2,126,010.

State: New Mexico; 
Indian Impact Aid school districts[A]: 19; 
Students living on Indian lands[B]: 18,950; 
Percentage of all students living on Indian lands[C]: 3%2; 
Basic support payments[D]: 96,948,176.

State: North Carolina; 
Indian Impact Aid school districts[A]: 4; 
Students living on Indian lands[B]: 683; 
Percentage of all students living on Indian lands[C]: 10%; 
Basic support payments[D]: 1,630,249.

State: North Dakota; 
Indian Impact Aid school districts[A]: 15; 
Students living on Indian lands[B]: 2,274; 
Percentage of all students living on Indian lands[C]: 36%; 
Basic support payments[D]: 11,496,248.

State: Oklahoma; 
Indian Impact Aid school districts[A]: 195; 
Students living on Indian lands[B]: 10,053; 
Percentage of all students living on Indian lands[C]: 9%; 
Basic support payments[D]: 27,027,156.

State: Oregon; 
Indian Impact Aid school districts[A]: 4; 
Students living on Indian lands[B]: 977; 
Percentage of all students living on Indian lands[C]: 14%; 
Basic support payments[D]: 2,566,981.

State: South Dakota; 
Indian Impact Aid school districts[A]: 26; 
Students living on Indian lands[B]: 5,730; 
Percentage of all students living on Indian lands[C]: 48%; 
Basic support payments[D]: 33,141,042.

State: Texas; 
Indian Impact Aid school districts[A]: 1; 
Students living on Indian lands[B]: 115; 
Percentage of all students living on Indian lands[C]: 24%; 
Basic support payments[D]: 336,410.

State: Utah; 
Indian Impact Aid school districts[A]: 4; 
Students living on Indian lands[B]: 2,011; 
Percentage of all students living on Indian lands[C]: 16%; 
Basic support payments[D]: 7,759,813.

State: Washington; 
Indian Impact Aid school districts[A]: 28; 
Students living on Indian lands[B]: 5,501; 
Percentage of all students living on Indian lands[C]: 13%; 
Basic support payments[D]: 18,804,996.

State: Wisconsin; 
Indian Impact Aid school districts[A]: 18; 
Students living on Indian lands[B]: 3,235; 
Percentage of all students living on Indian lands[C]: 16%; 
Basic support payments[D]: 11,962,457.

State: Wyoming; 
Indian Impact Aid school districts[A]: 4; 
Students living on Indian lands[B]: 1,383; 
Percentage of all students living on Indian lands[C]: 75%; 
Basic support payments[D]: 9,945,109.

State: Total; 
Indian Impact Aid school districts[A]: 569; 
Students living on Indian lands[B]: 113,599; 
Percentage of all students living on Indian lands[C]: 17%; 
Basic support payments[D]: $543,332,521.

Source: GAO analysis of Department of Education data.

Note: These figures reflect payments to date on fiscal year 2009 basic 
support payments as of August 2009. At that time, with the eligibility 
of 31 applicants undecided, 92 percent of the approximately $1.1 
billion of appropriations for basic support payments had been paid. 
Education makes final payments of the remaining funds when final 
decisions are reached on all applications, which Impact Aid Office 
staff indicated typically occurs about 2 years after the appropriation 
year.

[A] This is a count, as of August 2009, of the school districts in each 
state that Education found to be eligible for fiscal year 2009 Impact 
Aid basic support payments because they have students living on Indian 
lands.

[B] This is the average daily attendance count of students living on 
Indian lands in the districts indicated. These counts come from the 
school year 2 years prior to the year the appropriation is available. 
For example, fiscal year 2009 basic support payments are based on 
student counts during the 2007-2008 school year.

[C] This is the average daily attendance count of students living on 
Indian lands as a percentage of the average daily attendance count of 
all students in the indicated districts.

[D] This is the total amount of Impact Aid basic support payments that 
the districts had received for students living on Indian lands as of 
August 2009. Overall, as of August 2009, 92 percent of appropriated 
basic support payments of all kinds for fiscal year 2009 had been 
disbursed. 

[End of table]

[End of section]

Appendix III: Examples of Studies Examining School Facilities and 
Student Outcomes:

Table 5 provides summary information about selected studies on broad 
measures of school facilities and student achievement.

Table 5: Examples of Studies on Broad Measures of School Facilities and 
Student Achievement:

Author and year: Maureen M. Berner 1993[A]; 
School facility variable: Condition of school building, excellent to 
poor; 
Student achievement variable: Comprehensive Tests of Basic Skills 
score; 
Selected findings: A school in fair condition could be expected to have 
average achievement test scores 5.45 points higher than a school in 
poor condition, on a scale of 0 to 100. 

Author and year: Jack Buckley and others 2004[B]; 
School facility variable: Overall building compliance level with health 
and safety standards; 
Student achievement variable: California state achievement tests; 
Selected findings: Schools in the best condition compared with those in 
the worst condition had an estimated 36-point higher average composite 
score on student achievement tests with a 200 to 1,000 point scale. 

Author and year: Valkiria Durán-Narucki 2008[C]; 
School facility variable: Condition of elementary school buildings 
based on independent consultant assessments; 
Student achievement variable: New York State and City mathematics and 
English achievement test results; 
Selected findings: Better school building conditions were associated 
with better student attendance rates, and these in turn were associated 
with better English and mathematics achievement. 

Author and year: Morgan Lewis 2001[D]; 
School facility variable: Assessments of school condition by district 
staff and staff from the program architect; 
Student achievement variable: Wisconsin Student Assessment System test 
scores; 
Selected findings: Schools with better building conditions generally 
had better average achievement test results for each of four tests in 3 
years, but the association was statistically significant in only 11 of 
36 tests after taking other factors into account (with a one-tailed 
test of significance.) These 11 tests were for 1996 and 1997. None of 
the tests for 1998 were statistically significant. 

Author and year: Lorraine E. Maxwell 1999[E]; 
School facility variable: Whether schools had recent renovation 
projects; 
Student achievement variable: New York Pupil Evaluation Program reading 
and math scores; 
Selected findings: Schools with recent renovations generally had better 
average math achievement test scores, but results showed no association 
with reading achievement scores. 

Author and year: Lawrence O. Picus and others 2005[F]; 
School facility variable: Building quality scores by a consulting firm; 
Student achievement variable: Wyoming Comprehensive Assessment System 
scores; 
Selected findings: Facility conditions were not associated with better 
or worse achievement test scores after taking into account the 
percentage of students eligible for free or reduced price school lunch 
in each school. 

Author and year: PricewaterhouseCoopers 2003[G]; 
School facility variable: Amount of capital expenditures to improve the 
suitability of the facilities; 
Student achievement variable: The percentage of students meeting 
reading, writing, math, and science standards in the United Kingdom; 
Selected findings: Schools with additional capital investment in 
facilities generally had better pupil performance, particularly for 
community primary schools and for investment in science laboratories 
and technology. 

Author and year: Mark Schneider 2002[H]; 
School facility variable: Teachers' survey response grading the 
condition of schools' facilities; 
Student achievement variable: Stanford Achievement Test in District of 
Columbia schools and Iowa Test of Basic Skills in Chicago schools; 
Selected findings: Schools with facilities in the worst condition had 
lower percentages of students performing in the two highest achievement 
categories--an estimated 3 percent fewer compared with school 
facilities in the best condition in the District of Columbia, and 3 to 
4 percent fewer in Chicago. 

Author and year: Kenneth Stevenson 2001[I]; 
School facility variable: Principals' perceptions of school condition; 
Student achievement variable: SAT and South Carolina Palmetto 
Achievement Challenge Test scores; 
Selected findings: School facility conditions in better condition 
generally had higher average achievement test scores in some, but not 
all instances studied. After taking into account the percentage of 
students eligible for free or reduced-price lunch, better facilities 
were associated with better 7th and 8th grade reading and 6th and 7th 
grade math test scores, but not for any elementary grade test scores. 

Author and year: Cynthia Uline and Megan Tschannen-Moran 2008[J]; 
School facility variable: Teachers' perceptions of the quality of 
school facilities;
 Student achievement variable: Factor based on two Virginia standards 
of learning test scores; 
Selected findings: Schools with better quality facilities generally had 
better test scores, but not after taking into account school attitudes, 
such as whether students admire others who get good grades and whether 
teachers are committed to students' education. The authors concluded 
that better quality facilities affect achievement indirectly--through 
their effect on school attitudes. 

Author and year: George A. Waller 1998[K]; 
School facility variable: State average measures of school facility 
conditions from a 1996 GAO survey of a sample of schools concerning 
school conditions in three categories: technology, environmental 
conditions, and building structures; 
Student achievement variable: Factor based on state average SAT and ACT 
scores; 
Selected findings: School facilities with better environmental 
conditions and technology generally had higher average achievement test 
scores. The adequacy of building structures was not associated with 
higher test scores. 

Source: GAO analysis of selected studies.

[A] Maureen M. Berner, "Building Conditions, Parental Involvement, and 
Student Achievement in the District of Columbia Public School System," 
Urban Education 28(1) (April 1993), 6-29.

[B] Jack Buckley, Mark Schneider, and Yi Shang, "LAUSD School 
Facilities and Academic Performance," (National Clearinghouse for 
Educational Facilities, Washington, D.C.: 2004).

[C] Valkiria Durán-Narucki, "School Building Condition, School 
Attendance, and Academic Achievement in New York City Public Schools: A 
Mediation Model," Journal of Environmental Psychology 28 (2008), 278- 
286.

[D] Moran Lewis, "Facility Conditions and Student Test Performance in 
the Milwaukee Public Schools," (Scottsdale, Arizona: Council of 
Educational Facility Planners, International, 2001). See [hyperlink, 
http://www.cefpi.org/issuetraks.html] (last accessed on Sept. 29, 2008).

[E] Lorraine E. Maxwell, "School Building Renovation and Student 
Performance: One District's Experience" Council of Educational Facility 
Planners International (Scottsdale, Ariz.: 1999).

[F] Lawrence O. Picus, Scott F. Marion, Naomi Calvo, and William J. 
Glenn, "Understanding the Relationship Between Student Achievement and 
the Quality of Educational Facilities: Evidence from Wyoming," Peabody 
Journal of Education, 80(3) (2005), 71-95.

[G] PricewaterhouseCoopers, Department for Education and Skills, 
"Building Better Performance: An Empirical Assessment of the Learning 
and Other Impacts of Schools Capital Investment," Research Report RR407 
(Nottingham: DfES Publications, 2003).

[H] Mark Schneider, "Public School Facilities and Teaching: Washington, 
DC and Chicago," Twenty-First Century School Fund (Washington, D.C.: 
2002).

[I] Kenneth R. Stevenson, "The Relationship of School Facilities 
Conditions to Selected Student Academic Outcomes: A Study of South 
Carolina Public Schools," University of South Carolina, College of 
Education, Department of Educational Leadership and Policies (2001).

[J] Cynthia Uline and Megan Tschannen-Moran, "The Walls Speak: the 
Interplay of Quality Facilities, School Climate, and Student 
Achievement," Journal of Educational Administration 46(1) (2008), 55- 
73.

[K] George A. Waller, "For Want of a Modem and a Comfortable Chair: A 
Research Note," American Journal of Political Science 42(2) (April 
1998), 705-708. 

[End of table] 

Table 6 provides summary information concerning other studies on school 
facilities and student outcomes--including those on specific school 
facility characteristics and various student outcomes, including 
achievement, attendance, and behavior and health.

Table 6: Examples of Other Studies on School Facilities and Student 
Outcomes.

Author and year: David Branham 2004[A]; 
School facility variable(s): Presence of structural problems in school 
facility and temporary buildings; 
Student outcome variable: Student attendance and dropout rates; 
Selected findings: A secondary school with 1,000 students could expect 
10 to 13 more dropouts a year and fewer students in attendance if the 
school had structural problems. The use of temporary buildings was also 
associated with lower attendance rates. 

Author and year: Warren E. Hathaway 1995[B]; 
School facility variable(s): Use of four different types of light 
fixtures in school classrooms; 
Student outcome variable: A comparison of scores on Canadian Test of 
Basic Skills taken in 1987 and 1989, attendance rates, measures of 
physical development and dental health; 
Selected findings: Attendance, achievement, health, and development 
measures were better in schools with full-spectrum lights compared with 
those in schools with high-pressure sodium vapor lights. 

Author and year: Lisa Heschong and others 2002[C]; 
School facility variable(s): Researchers' classification of the amount 
of daylight in the classroom; 
Student outcome variable: Student attendance rates in each school 
district; Iowa Test of Basic Skills in Seattle, Washington; and other 
standardized tests in Fort Collins, Colorado, and Capistrano, 
California; 
Selected findings: In each of the three school districts, the 
availability of more daylight was associated with higher achievement. 
After taking into account additional factors, such as teacher 
characteristics, more daylight continued to be associated with higher 
achievement. The amount of daylight was not associated with attendance 
rates. 

Author and year: Rikard Küller and Carin Lindsten 1992[D]; 
School facility variable(s): Amount of natural daylight and fluorescent 
light in classrooms; 
Student outcome variable: Student attendance, sociability, and sick 
leave use; 
Selected findings: Classrooms that lacked natural or simulated daylight 
had marked delays in rise of a natural hormone, cortisol. The ability 
to concentrate was higher in the classrooms with overhead daylight and 
artificial warm white tube lighting. Sociability was higher with 
windows or fluorescent daylight tubes. 

Author and year: Lorraine E. Maxwell and Gary W. Evans 2000[E]; 
School facility variable(s): The installation of sound absorbent panels 
in classroom ceilings to reduce noise levels; 
Student outcome variable: Tests of preschool children's number and 
letter recognition, letter- sound correspondence, and rhyming skills; 
and teachers' evaluations of children's language skills before and 
after installation of sound absorbent panels; 
Selected findings: Scores were higher after installation of sound 
absorbent panels for (1) recognition of numbers, letters, and simple 
words and (2) teachers' evaluation of children's language skills. 
Differences were not statistically significant for rhyming or letter-
sound correspondence. 

Author and year: Teija Meklin and others 2002[F]; 
School facility variable(s): Presence of moisture problems in school 
buildings and levels of airborne microbes; 
Student outcome variable: Respiratory health survey responses; 
Selected findings: Children in schools with moisture problems reported 
respiratory symptoms more often than in schools without such problems. 
This was also the case among buildings with concrete or brick 
construction, but the association was not statistically significant 
among schools with wood construction. 

Author and year: Douglas E. Mitchell and Ross E. Mitchell 1999[G]; 
School facility variable(s): Reductions in class size from a typical 28 
to 32 to a maximum of 20 students in kindergarten through third-grade 
classrooms; 
Student outcome variable: Reading, math, and language achievement test 
scores; 
Selected findings: Smaller class sizes were associated with higher test 
scores for reading, math, and language. The effects were small after 
taking into account student demographics, including gender, income, 
ethnicity, language used at home. 

Author and year: Francisco L. Rivera-Batiz and Lilian Marti 1995[H]; 
School facility variable(s): Overcrowding in schools measured as the 
number of students compared with the schools design capacity; 
Student outcome variable: Degrees of Reading Power test scores and New 
York Pupil Evaluation Program Test in mathematics; 
Selected findings: Among schools with high proportions of poor 
students, overcrowding was associated with lower student achievement. 
Among schools with lower proportions of poor students, overcrowding was 
associated with higher achievement, as schools with high achievement 
attract more students. 

Author and year: Karl G. Rosén and George Richardson 1999[I]; 
School facility variable(s): Indoor air quality as measured by levels 
of airborne particles in schools with and without electrostatic air 
cleaning systems in operation; 
Student outcome variable: Student attendance rates; 
Selected findings: When the electrostatic air cleaning systems were in 
operation, average attendance rates rose, although this was not 
statistically significant at the smaller day-care center. 

Author and year: Greta Smedje and Dan Norbäck 2000[J]; 
School facility variable(s): Ventilation measured as the flow of 
outside air into the school buildings; 
Student outcome variable: Responses to student surveys concerning 
asthmatic symptoms; 
Selected findings: Lower incidence of any asthmatic symptoms was 
associated with improved ventilation. 

Author and year: C. Kenneth Tanner 2008[K]; 
School facility variable(s): School building design characteristics, 
including the availability of space to accommodate students' movement 
and circulation, meeting in large groups, day lighting and views, and 
space of instructional neighborhoods; 
Student outcome variable: Iowa Test of Basic Skills; 
Selected findings: Schools designed to accommodate students' movement 
and circulation were more likely to have higher student achievement. 
This was also true for the presence of the other design 
characteristics, but these accounted for less of the variation in 
achievement (2 percent compared with 7 percent for designs 
accommodating movement and circulation). 

Author and year: Taina Taskinen and others 1999[L]; 
School facility variable(s): The presence of moisture problems in 
elementary schools and indoor air quality; 
Student outcome variable: Parents' responses to a survey concerning 
respiratory symptoms; 
Selected findings: In the school with moisture problems, parents noted 
higher incidence of children with repeated wheezing and prolonged 
coughing and incidence of respiratory infections leading to emergency 
room visits and use of antibiotics. 

Author and year: Pawel Wargocki and David P. Wyon 2006[M]; 
School facility variable(s): Outdoor air supply rate and classroom 
temperatures; 
Student outcome variable: The speed at which students completed various 
mathematics, reading comprehension, and proofreading tasks; 
Selected findings: Increasing the outdoor air supply rate and reducing 
elevated classroom temperatures significantly improved student 
performance, primarily how quickly students completed tasks. 

Source: GAO analysis of selected studies.

[A] David Branham, "The Wise Man Builds His House upon the Rock: The 
Effects of Inadequate School Building Infrastructure on Student 
Attendance," Social Science Quarterly 85(5) (December 2004), 1112-1128.

[B] Warren E. Hathaway, "Effects of School Lighting on Physical 
Development and School Performance," The Journal of Educational 
Research 88(4) (March-April 1995), 228-242.

[C] Lisa Heschong, Ihab Elzeyadi, and Carey Knecht, "Re-Analysis 
Report: Daylighting in Schools, Additional Analysis, Tasks 2.2.1 
through 2.2.5" Heschong Mahone Group, (Fair Oaks, Calif.: 2002). See 
[hyperlink, http://www.newbuildings.org/pier/overview.htm] (last 
accessed Sept. 29, 2008). This is a reanalysis of results from Lisa 
Heschong, "Daylighting in Schools: An Investigation into the 
Relationship between Daylighting and Human Performance," Heschong 
Mahone Group, (Fair Oaks, Calif.: July 1999).

[D] Rikard Küller and Carin Lindsten, "Health and Behavior of Children 
in Classrooms with and without Windows," Journal of Environmental 
Psychology 12 (1992),305-317.

[E] Lorraine E. Maxwell and Gary W. Evans, "The Effects of Noise on Pre-
School Children's Pre-Reading Skills," Journal of Environmental 
Psychology 20 (2000), 91-97.

[F] Douglas E. Mitchell and Ross E. Mitchell, "The Impact of 
California's Class Size Reduction Initiative on Student Achievement: 
Detailed Findings from Eight School Districts," California Educational 
Research Cooperative, University of California, Riverside (1999).

[G] Teija Meklin, T. Husman, A. Vepsäläinen, M. Vahteristo, J. 
Koivisto, J. Halla-Aho, A. Hyvärinen, D. Moschandreas, and A. 
Nevalainen, "Indoor Air Microbes and Respiratory Symptoms of Children 
in Moisture Damaged and Reference Schools," Indoor Air 12(3) (2002), 
175-183.

[H] Francisco L. Rivera-Batiz and Lilian Marti, "A School System at 
Risk: A Study of the Consequences of Overcrowding in New York City 
Public Schools," Institute for Urban and Minority Education, Teachers 
College Columbia University, (New York: January 1995).

[I] Karl G. Rosén and George Richardson, "Would Removing Indoor Air 
Particulates in Children's Environments Reduce Rate of Absenteeism--A 
Hypothesis," The Science of the Total Environment 234 (1999), 87-93.

[J] Greta Smedje and Dan Norbäck, "New Ventilation Systems at Select 
Schools in Sweden--Effects on Asthma and Exposure," Archives of 
Environmental Health 55(1) (January/February 2000), 18-25.

[K] C. Kenneth Tanner, "Explaining Relationships among Student Outcomes 
and the School's Physical Environment," Journal of Advanced Academics 
19(3) (Spring 2008), 444-471.

[L] Taina Taskinen, A. Hyvärinen, T. Meklin, T. Husman, A. Nevalainen, 
and M. Korppi, "Asthma and Respiratory Infections in School Children 
with Special Reference to Moisture and Mold Problems in the School," 
Acta Paediatrica 88(12) (1999), 1373-1379.

[M] Pawel Wargocki and David P. Wyon, "Research Report on Effects of 
HVAC on Student Performance," ASHRAE Journal 48(10) (October 2006), 22- 
28 (American Society of Heating, Refrigerating, and Air-Conditioning 
Engineers). 

[End of table] 

[End of section]

Appendix IV: GAO Contacts and Staff Acknowledgments:

GAO Contacts:

Cornelia M. Ashby, (202) 512-7215 or ashbyc@gao.gov Terrell G. Dorn, 
(202) 512-6923 or dornt@gao.gov:

Staff Acknowledgments:

In addition to the contacts named above, Kathryn A. Larin and Maria D. 
Edelstein, Assistant Directors; Pamela R. Davidson; Gail F. Marnik; 
John W. Mingus, Jr.; Benjamin P. Pfeiffer; James M. Rebbe; Kimberly M. 
Siegal; Larry S. Thomas; Kathleen L. van Gelder; and Walter K. Vance 
made key contributions to this report.

[End of section] 

Footnotes: 

[1] For the purpose of distributing Impact Aid funds, Indian lands are 
defined to include federal property held in trust by the United States 
for individual Indians or Indian tribes; other designated lands held by 
individual Indians or Indian tribes; and public land owned by the 
United States that is designated for the sole use and benefit of 
individual Indians or Indian tribes. For a complete definition, see 20 
U.S.C. § 7713(7).

[2] We use the term "Indian Impact Aid" to refer to those school 
districts that qualify to receive Impact Aid basic support funding 
because they meet the minimum eligibility criteria, namely they have at 
least 400 students in average daily attendance who are federally 
connected, in this case who reside on Indian lands, or such students 
comprise at least 3 percent of the total number of students in the 
district.

[3] Although the Bureau of Indian Education also funds, and in some 
instances operates, schools for Indian students, we focus on public 
schools that receive Impact Aid funds for students residing on Indian 
lands.

[4] For information concerning Bureau of Indian Education schools, see 
GAO, Bureau of Indian Education Schools: Improving Interior's 
Assistance Would Help Some Tribal Groups Implement Academic 
Accountability Systems, [hyperlink, 
http://www.gao.gov/products/GAO-08-679] (Washington, D.C.: June 27, 
2008); and Bureau of Indian Education: Improving Interior's Assistance 
Would Aid Tribal Groups Developing Academic Accountability Systems, 
[hyperlink, http://www.gao.gov/products/GAO-08-1125T] (Washington, 
D.C.: Sept. 9, 2008).

[5] The formula for distributing Impact Aid basic support payments also 
takes into account the number of students in certain low-rent housing, 
the average daily attendance for the district, and the national and 
state per pupil expenditure figures. The Impact Aid program also 
authorizes separate payments on behalf of children eligible to receive 
services under the Individuals with Disabilities Education Act whose 
parents are members of the Armed Forces and those residing on Indian 
lands.

[6] As of August 2009, 93 percent of the approximately $1.1 billion of 
fiscal year 2008 appropriations for basic support payments had been 
paid to 1,229 school districts. Education makes final payments of the 
remaining funds when final decisions are reached on all applications, 
which Impact Aid Office staff indicate typically occurs about 2 years 
after the appropriation year. 

[7] These are the amounts paid to date as of December 2008, at which 
time 92 percent of all basic support payment Impact Aid appropriations 
for fiscal year 2008 had been paid. Some states, such as New Mexico, 
with Education approved programs for equalization of funding for school 
districts adjust the level of state funding districts receive on the 
basis of the amount of local revenue and Impact Aid districts receive.

[8] ESEA places no specific restriction on the use of Impact Aid basic 
support funds, but does require, for example, that children living on 
Indian lands participate in the programs and activities supported by 
these funds on an equal basis with all other children, and that parents 
and Indian tribes are consulted and involved in planning and developing 
these programs and activities. 

[9] Due in part to these provisions, in fiscal year 2008, Indian Impact 
Aid districts with more than 40 percent of students living on Indian 
lands received overall 2½ times as much in basic support per student 
living on Indian lands as Indian Impact Aid districts with fewer 
students living on Indian lands.

[10] Education regulations define the term "emergency" as "a school 
facility condition that is so injurious or hazardous that it…poses an 
immediate threat to the health and safety of the facility's students 
and staff or can be reasonable expected to [do so] in the near future." 
34 C.F.R. § 222.176.

[11] Pub. L. No. 111-5, § 805(b), 123 Stat. 189 (2009). Of the $100 
million available for construction, approximately $60 million is 
available for competitive construction grants, which are expected to be 
available to a larger number of Impact Aid districts, because the 
Recovery Act provides eligibility criteria that do not include 
requirements for a minimum number of students who are living on Indian 
lands or are connected to military bases. 

[12] Pub. L. No. 111-5, Division A, Title XIV.

[13] NCES is the primary federal entity for collecting, analyzing, and 
reporting data related to education in the United States. 

[14] B. Chaney and L. Lewis (2007), Public School Principals Report on 
Their School Facilities: Fall 2005 (NCES 2007-007). U.S. Department of 
Education. Washington, D.C.: National Center for Education Statistics.

[15] Our analysis uses an FCI scale wherein an FCI below 10 percent 
indicates the facility is in good condition, an FCI that is 10 to 19 
percent indicates the facility is in fair condition, and an FCI that is 
20 percent and greater indicates a facility is in poor condition.

[16] The number of Indian Impact Aid school districts is based on 2008 
data from Education, the most recent data available at the time of this 
analysis.

[17] To more easily describe the condition of facilities, we combined 
districts with poor and unsatisfactory scores into one category, which 
we titled "poor." Of the 5 Indian Impact Aid districts, Washington's 
data showed that 2 had schools that were unsatisfactory. Of the 47 
other school districts, the data showed that 20 districts had schools 
that were unsatisfactory.

[18] Of the 24 studies, 14 studies found correlations between school 
facility conditions and student outcomes; 9 studies found such 
correlations in some cases, but not in others, depending on the 
facility variables and outcome variables studied; and 1 study found no 
relationship after controlling for poverty status. In this case, 
researchers measured the extent of poverty as the percentage of 
students in each elementary school that was eligible for free or 
reduced price school lunch, a program funded through the U.S. 
Department of Agriculture's Food and Nutrition Service. Generally, 
students at or below 130 percent of federal poverty guidelines are 
eligible for free lunch, and those between 130 percent and 185 percent 
are eligible for reduced price lunch. We identify statistically 
significant associations as those for which there is less than a 5 
percent chance that the differences observed could be accounted for by 
chance.

[19] Methodologies such as randomized trials are often impractical, or 
even unethical, for studying educational outcomes because some students 
would have to be assigned to the control group and would not receive 
potentially useful educational goods or services. Nevertheless, 
randomized trials are considered to be the best way to test hypotheses 
about causal mechanisms and provide more certainty in determining 
treatment effects than quasi-experiments and other approximations of 
randomized trials.

[20] Outcomes identified in the studies we reviewed included 
achievement test scores, speed and error rates when performing specific 
tasks, student attendance rates, drop-out rates, and incidence rates of 
student misbehavior.

[21] Maureen M. Berner, "Building Conditions, Parental Involvement, and 
Student Achievement in the District of Columbia Public School System," 
Urban Education 28(1) (April 1993), 6-29. 

[22] Jack Buckley, Mark Schneider, and Yi Shang, "LAUSD School 
Facilities and Academic Performance," (National Clearinghouse for 
Educational Facilities, Washington, D.C.: 2004). See [hyperlink, 
http://www.edfacilities.org/pubs/LAUSD%20Report.pdf] (last accessed on 
Dec. 20, 2008). 

[23] Lorraine E. Maxwell, "School Building Renovation and Student 
Performance: One District's Experience," (Scottsdale, Ariz.: Council of 
Educational Facility Planners International, 1999).

[24] Lawrence O. Picus, Scott F. Marion, Naomi Calvo, and William J. 
Glenn, "Understanding the Relationship Between Student Achievement and 
the Quality of Educational Facilities: Evidence from Wyoming," Peabody 
Journal of Education, 80(3) (2005), 71-95. 

[25] Cynthia Uline and Megan Tschannen-Moran, "The walls speak: the 
Interplay of Quality Facilities, School Climate, and Student 
Achievement," Journal of Educational Administration 46(1) (2008), 55- 
73.

[26] Valkiria Durán-Narucki, "School Building Condition, School 
Attendance, and Academic Achievement in New York City Public Schools: A 
Mediation Model," Journal of Environmental Psychology 28 (2008), 278- 
286. 

[27] For a discussion of efforts to improve teacher quality, see GAO, 
Teacher Quality: Sustained Coordination among Key Federal Education 
Programs Could Enhance State Efforts to Improve Teacher Quality, 
[hyperlink, http://www.gao.gov/products/GAO-09-593] (Washington, D.C.: 
July 6, 2009); and Teacher Quality: Approaches, Implementation, and 
Evaluation of Key Federal Efforts, [hyperlink, 
http://www.gao.gov/products/GAO-07-861T] (Washington, D.C.: May 17, 
2007).

[28] Jack Buckley, Mark Schneider, and Yi Shang, "The Effects of School 
Facility Quality on Teacher Retention in Urban School Districts," 
National Clearinghouse for Educational Facilities, [hyperlink, 
http://www.ncef.org] (February 2004).

[29] C. Kenneth Tanner, "Explaining Relationships among Student 
Outcomes and the School's Physical Environment," Journal of Advanced 
Academics 19(3) (Spring 2008), 444-471.

[30] Lisa Heschong, Ihab Elzeyadi, and Carey Knecht, "Re-Analysis 
Report: Daylighting in Schools, Additional Analysis," (Fair Oaks, 
Calif.: Heschong Mahone Group, Feb. 14, 2002). This study assessed 
changes in scores from achievement tests taken in the fall and spring 
in one district and compared schools' average test scores at the end of 
the school year with district average test scores. 

[31] Warren E. Hathaway, "Effects of School Lighting on Physical 
Development and School Performance," Journal of Educational Research 
88(4) (March-April 1995), 228-242. 

[32] Taina Taskinen, A. Hyvärinen, T. Meklin, T. Husman, A. Nevalainen, 
and M. Korppi, "Asthma and Respiratory Infections in School Children 
with Special Reference to Moisture and Mold Problems in the School," 
Acta Paediatrica 88(12) (1999), 1373-1379.

[33] Teija Meklin, T. Husman, A. Vepsäläinen, M. Vahteristo, J. 
Koivisto, J. Halla-Aho, A. Hyvärinen, D. Moschandreas, and A. 
Nevalainen, "Indoor Air Microbes and Respiratory Symptoms of Children 
in Moisture Damaged and Reference Schools," Indoor Air 12(3) (2002), 
175-183.

[34] Karl G. Rosén and George Richardson, "Would Removing Indoor Air 
Particulates in Children's Environments Reduce Rate of Absenteeism--A 
hypothesis" The Science of the Total Environment 234 (1999), 87-93. The 
decline in attendance at the smaller center was not statistically 
significant.

[35] Greta Smedje and Dan Norbäck, "New Ventilation Systems at Select 
Schools in Sweden--Effects on Asthma and Exposure," Archives of 
Environmental Health 55(1) (January/February 2000), 18-25.

[36] Pawel Wargocki and David P. Wyon, "Research Report on Effects of 
HVAC on Student Performance," ASHRAE Journal 48(10) (October 2006), 22- 
28 (American Society of Heating, Refrigerating, and Air-Conditioning 
Engineers, Inc.) The study compared results from ventilation systems 
providing 3.0 and 9.5 liters per second, per person. Error rates 
declined significantly for one numerical task, but not for other tasks.

[End of section] 

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