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Report to Congressional Requesters:



United States General Accounting Office:



GAO:



February 2003:



FORMULA GRANTS:



2000 Census Redistributes Federal Funding Among States:



GAO-03-178:



GAO Highlights: 



Highlights of GAO-03-178, a report to Congressional Requesters: 



February 2003:



FORMULA GRANTS:



2000 Census Redistributes Federal Funding Among States:



Why GAO Did This Study: 



In fiscal year 2000, about $283 billion in federal grant money was 

distributed to state and local governments by formula, about half of it 

through four formula grant programs—Medicaid, Foster Care Title IV-E, 

Adoption Assistance, and the Social Services Block Grant (SSBG).  
States 

receive money based in part on factors such as annual population 
estimates 

derived from the previous decennial census, which is conducted by the 

Department of Commerce, Bureau of the Census.  GAO was asked to measure 

the effect that using the 2000 census data has on redistributing 
funding 

for federal formula grant programs.  To do this, GAO analyzed the 
change 

in the U.S. and state populations between 1999 and 2000 that was the 
result 

of correcting prior population estimates and estimated for the four 
programs 

the extent of any redistribution of federal funding among states.



What GAO Found: 



The 2000 census count of 281.4 million people exceeded the 1999 
population 

estimate by 8.7 million people, or 3.2 percent.  Three-quarters of this 
1-year 

population increase, 6.8 million people, was the result of correcting 
errors 

in population estimates over the preceding decade; the remaining 
portion of the 

increase, 1.9 million people, was the result of population growth from 
1999 to 

2000.  Every state’s population had been underestimated during the 
1990s, but 

the extent varied, from the smallest correction in West Virginia—0.3 
percent—to 

the largest in the District of Columbia—10.2 percent.  Twenty-eight 
states had 

a correction below the national average of 2.5 percent, and 23 states 
had a 

correction above the national average.  



Correcting population estimates for the 2000 census redistributes among 

states about $380 million in federal grant funding for Medicaid, Foster 
Care, 

Adoption Assistance, and SSBG.  Funding for the 28 states that had 
below-

average corrections to their populations decreases by an estimated 
$380.3 

million; funding for the 23 states that had above-average corrections 
increases 

by an estimated $388.8 million.  Most of the change in funding is 
concentrated 

in states with larger populations.  However, changes in funding are 
smaller in 

several large states because the matching rates for Medicaid, Foster 
Care, and 

Adoption Assistance are limited by statute—matching rates cannot fall 
below 50 

percent.  Some higher-income states would receive matching rates below 
50 percent 

if not for this limitation.  Most of the shift in funding occurs in 
fiscal year 

2003 when federal matching rates for the Medicaid, Foster Care, and 
Adoption 

Assistance programs are based on population estimates derived from the 
2000 

census.A small portion of the shift occurred in fiscal year 2002 
because that 

is when the SSBG began using the 2000 census counts.



The Department of Commerce provided technical comments on a draft of 
this 

report.



www.gao.gov/cgi-bin/getrpt?GAO-03-178.



To view the full report, including the scope and methodology, click on 
the 

link above.

For more information, contact Kathryn G. Allen at (202) 512-7114.



Contents:



Letter: 



Results in Brief: 



Background: 



Most of Population Difference Between 1999 and 2000 Resulted from 
Correction 

of Errors That Occurred During 1990s: 



2000 Census Correction of Population Estimates Redistributes an 
Estimated 

$380Million Among States for Four Formula Grant Programs:



Agency Comments:



Appendix I: Data for Population Estimates, Decennial Census Population 

Counts, and the Error of Closure: 



Appendix II: Analysis of Estimated Funding Changes for Four Formula 
Grant 

Programs: 



Medicaid, Foster Care, and Adoption Assistance Social Services Block 
Grant: 



Tables: 



Table 1: Definition of Population Terminology Used in This Report: 



Table 2: Federal Formula Grant Program Funding for Fiscal Year 2000:



Table 3: Population Data Used in Four Selected Formula Grant Programs, 

by Fiscal Year:



Table 4: Estimated Changes in Federal Funding as a Result of the 
Correction 

in Population, by Grant Program: 



Table 5: Comparison of the 1999 Postcensal Population Estimates and the 

2000 Census Counts: 



Table 6: Comparison of the 2000 Postcensal Population Estimates and the 
2000 

Census Counts to Determine the Error of Closure and the Percentage 

Correction in Population: 



Table 7: Actual and Estimated FMAPs for the Medicaid, Adoption 
Assistance, 

and Foster Care Programs for Fiscal Year 2003, by State: 



Table 8: Medicaid Program Exenditures and Estimated Federal Payments, 
by 

State: 



Table 9: Foster Care Program Expenditures and Estimated Federal 
Payments,

by State:



Table 10: Adoption Assistance Program Expenditures and Estimated 
Federal 

Payments by State: 



Table 11: SSBG State Allocations, Actual and Estimated, for Fiscal Year 
2002:



Figure:



Figure 1: Percentage Difference in Population Due to the Correction of 
the 

Error in Population Estimates, by State on April 1, 2000:



Abbreviations:



FMAP: Federal Medical Assistance Percentage:



SSBG: Social Services Block Grant:



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Letter:



February 24, 2003:



The Honorable Tom Davis

Chairman, Committee on Government Reform

House of Representatives:



The Honorable Adam H. Putnam

Chairman, Subcommittee on Technology, Information Policy, 

 Intergovernmental Relations, and the Census

Committee on Government Reform

House of Representatives:



The Honorable Dave Weldon

House of Representatives:



In fiscal year 2000, the federal government obligated about $332 

billion in grants to state and local governments to help fund an array 

of programs ranging from Medicaid to Highway Planning and Construction. 

Over 85 percent, or about $283 billion, of this grant money was 

distributed to state[Footnote 1] and local governments using formulas 

that are based on data such as state population and personal income. 

For example, the $196 billion federal-state Medicaid program finances 

health care to low-income families with children and aged, blind, and 

disabled individuals through a statutory formula based on state per 

capita income--the ratio of total personal income to state population.



To calculate grant amounts, formula grant programs generally rely on 

annual population estimates for each state developed by the Bureau of 

the Census. State populations are estimated by adding to the prior 

year’s population estimate the number of births and immigrants and 

subtracting the number of deaths and emigrants. These estimates are 

subject to error, mainly because migration between states and between 

the United States and other countries is difficult to measure. By the 

end of each decade, when the decennial census is taken, a significant 

gap may have arisen between the population estimate and the census 

population count for the same day of the year, such as April 1, 2000.



When population data based on a new census enter into federal formula 

grant calculations, states gain or lose funding depending on how the 

gaps between their population estimates and their census counts compare 

with the U.S. average gap. The larger the gap between a state’s 

population estimate and its census count, the larger the shift in 

funding is. For formula grant programs that distribute a set amount of 

federal funding, the gains in states with increased funding are offset 

by the losses in states with decreased funding. For open-ended formula 

grant programs, such as Medicaid, states with increased funding do not 

necessarily offset states with decreased funding.



To measure the effect of using the 2000 census on the distribution of 

formula grant funding among the states, you asked us to examine (1) the 

change in the U.S. and each state’s population between 1999 and 2000 

due to correcting prior population estimates and (2) the extent of any 

redistribution of federal funding among the states for four selected 

formula grant programs as a result of the 2000 census.



To address these objectives, we used information on annual state 

population estimates that were derived from the 1990 census and state 

estimates that were derived from both the 1990 and 2000 censuses, as 

reported by the Census Bureau. To estimate the error in population 

estimates, we compared the April 1, 2000, population estimates based on 

the 1990 census with the April 1, 2000, census counts. To determine the 

effect of correcting the errors in population estimates on the 

distribution of formula grant funding to the states, we analyzed 4 

federal formula grant programs of the 172 such programs identified in 

the Catalog of Federal Domestic Assistance--Social Services Block Grant 

(SSBG), Medicaid, Foster Care Title IV-E, and Adoption 

Assistance.[Footnote 2] We chose these 4 programs because their 

formulas use population estimates to distribute federal assistance, and 

they represented almost half of all formula grant funding (46 percent) 

in fiscal year 2000. The SSBG distributes a set appropriation 

exclusively on the basis of population data. The 3 entitlement 

programs, Medicaid, Foster Care, and Adoption Assistance, use per 

capita income--the ratio of personal income to state population--in 

identical formulas to determine federal matching rates. We obtained 

information on the formulas for these programs from the Department of 

Health and Human Services, and we used funding data for each program 

for the fiscal year in which the program first used population data 

derived from the 2000 census to calculate grant awards. To calculate 

the change in formula funding resulting from correcting population 

estimates, we compared what funding would be if formula grant amounts 

were calculated using two different population estimates for the same 

year, one based on the 1990 census and the other on the 2000 census. We 

conducted our work from July 2001 through January 2003 in accordance 

with generally accepted government auditing standards.



Results in Brief:



The 2000 census count of 281.4 million people exceeded the 1999 

population estimate by 8.7 million people, or 3.2 percent. Three-

quarters of this 1-year population increase, 6.8 million people, was 

the result of correcting errors in population estimates over the 

preceding decade; the remaining portion of the increase, 1.9 million 

people, was the result of population growth from 1999 to 2000. The 

error corrected by the 2000 census was substantially larger than the 

error reported for the 1990 census--2.5 percent compared with 0.6 

percent. The Census Bureau attributed the increase in the 2000 “error 

of closure” to underestimates in the measurement of net international 

migration and the increased accuracy of the 2000 census--it counted 

people who were probably missed in the 1990 census. Every state’s 

population had been underestimated during the 1990s, but the extent 

varied widely: the largest correction was in the District of Columbia-

-10.2 percent--and the smallest, West Virginia--0.3 percent. Twenty-

eight states had a correction below the national average of 2.5 

percent, and 23 states had a correction above the national average. Of 

the four Census regions (Northeast, South, Midwest, and West), only the 

Midwest showed a pattern: all 12 midwestern states were close to or 

below the U.S. average correction to the population. Overall, the 

Midwest’s correction was the smallest of the four regions--1.5 percent.



Correcting population estimates based on the 2000 census redistributes 

about $380 million in federal grant funding among states for the four 

programs we examined. We estimate that funding for the 28 states that 

had below-average corrections to their populations decreases by $380.3 

million in the first year the new population numbers are factored into 

the formula grants; funding for the 23 states that had above-average 

corrections in their population increases by an estimated $388.8 

million. Most of the change in funding is concentrated in states with 

larger populations. However, several large states have only minor 

changes in funding because the funding formula used by Medicaid, Foster 

Care, and Adoption Assistance limits the effect of the population 

correction for high-income states by applying a minimum 50 percent 

federal matching rate. Some higher-income states would receive matching 

rates below 50 percent, but because of the minimum they are guaranteed 

a rate no lower than 50 percent. Most of the shift in funding occurs in 

fiscal year 2003 when federal matching rates for the Medicaid, Foster 

Care, and Adoption Assistance programs are based on population 

estimates derived from the 2000 census. A minor portion of the shift 

occurred for fiscal year 2002 because the census counts were used in 

the SSBG that year.



The Department of Commerce provided technical comments on a draft of 

this report, which we incorporated as appropriate.



Background:



The Census Bureau counts the U.S. population once every decade through 

its decennial census. For the years in between, the Bureau estimates 

states’ populations from annual data on changes in births, deaths, and 

net migration (including net movements of military personnel). These 

annual population estimates are called postcensal population estimates 

because they are based on the prior census (see table 1 for definitions 

of different population counts used in this report). This process of 

making annual postcensal population estimates continues until the next 

census. Once the new census is taken, the Bureau compares the 

population estimates to the census population counts for the same date. 

The difference between the population estimate and the census count is 

called the error of closure. Subsequently, annual population estimates 

are revised for the prior decade using the counts from the new census. 

For example, after the 2000 census, the annual population estimates 

from the 1990s were revised to be consistent with both the 1990 and 

2000 censuses. These revised population estimates are called the 

intercensal population estimates because they rely on the preceding and 

the succeeding censuses.[Footnote 3]



Table 1: Definition of Population Terminology Used in This Report:



Term: Census population count; Description: A population count is made 

at the beginning of each decade as of April 1. It is based on a count 

of the entire population. The latest census counted the population as 

of April 1, 2000..



Term: Postcensal population estimate; Description: Population 

estimates are made annually throughout a decade, usually as of July 1 

of each year. Such estimates are based on the prior census, and include 

annual population changes due to births, deaths, and domestic and 

international migration. The postcensal population estimates for July 

1, 2001, were based on the April 1, 2000, census and the population 

change between April 1, 2000, and June 30, 2001..



Term: Error of closure; Description: The error of closure is the 

difference between the postcensal population estimate and census 

population count for the same date. For example, the error of closure 

for April 1, 2000, is the difference between the postcensal population 

estimate and the census population count for April 1, 2000..



Term: Intercensal population estimate; Description: Once a new census 

is completed, the annual population estimates of the prior decade (the 

postcensal population estimates) are adjusted to reflect the new census 

counts. The resulting population estimates, known as intercensal 

population estimates, are calculated using a mathematical formula that 

distributes the error of closure across the postcensal population 

estimates for the prior decade. Intercensal population estimates thus 

have been adjusted according to counts at both the beginning and the 

end of the decade. The intercensal population estimates for 1990 

through 1999 were issued in April 2002..



Source: Department of Commerce, Bureau of the Census.



[End of table]



Of the four programs we analyzed, Medicaid is the largest, comprising 

43 percent of all federal formula-based programs and 94 percent of the 

total funding for the four programs analyzed for this report (see table 

2).



Table 2: Federal Formula Grant Program Funding for Fiscal Year 2000:



Program: Medicaid; Fiscal year 2000 federal obligations[A] (millions): 

$121,809; Percentage of total federal obligations: 43.0.



Program: Foster Care Title IV-E; Fiscal year 2000 federal 

obligations[A] (millions): 4,536; Percentage of total federal 

obligations: 1.6.



Program: Adoption Assistance; Fiscal year 2000 federal obligations[A] 

(millions): 1,008; Percentage of total federal obligations: 0.4.



Program: SSBG; Fiscal year 2000 federal obligations[A] (millions): 

1,775; Percentage of total federal obligations: 0.6.



Program: Remaining 168 formula programs; Fiscal year 2000 federal 

obligations[A] (millions): 154,221; Percentage of total federal 

obligations: 54.4.



Program: Total obligations[B]; Fiscal year 2000 federal obligations[A] 

(millions): 283,348; Percentage of total federal obligations: 100.0.



Source: U.S. General Services Administration, Catalog of Federal 

Domestic Assistance (Washington, D.C.: December 2001 edition) (CD-ROM 

version).



Note: Federal obligations do not add to total because of rounding.



[A] The obligated amounts shown here will differ slightly from the 

amounts allocated by formula. The obligations of the allocations may 

occur in years other than when the allocations occurred.



[B] Total obligations include 23 programs that are both formula and 

project grants.



[End of table]



The SSBG formula allocates an amount of funding, set by annual 

appropriation, directly to the states. A state’s allocation is 

proportional to its share of the total U.S. population. State 

allocations for fiscal year 2002 used the April 2000 census, and 

allocations for prior years used postcensal population estimates that 

were based on the 1990 census.



In contrast with the SSBG’s fixed appropriation, the Medicaid, Foster 

Care, and Adoption Assistance programs are open-ended entitlement 

programs--the states determine the level of program expenditures, and 

the federal government reimburses a share of their expenditures 

according to matching rates, called the Federal Medical Assistance 

Percentages (FMAP), set by statutory formula. All three programs use 

the same formula, which is based on a 3-year average of state per 

capita income--the ratio of aggregate personal income to state 

population. As a state’s per capita income increases, its matching rate 

decreases, and vice versa. In addition, unless a state experiences 

changes in aggregate personal income, its federal payment generally 

declines if the state’s population growth is less than the national 

average. Matching rates range from a minimum of 50 percent to a maximum 

of 83 percent of a state’s Medicaid expenditures. The minimum 50 

percent rate affects only the high per capita income states. For fiscal 

year 2002, for example, a high-income state such as Connecticut would 

receive a 15 percent federal matching rate if the 50 percent minimum 

was not in place.



For fiscal year 2002, the federal matching rates for Medicaid, Foster 

Care, and Adoption Assistance were based on a 3-year average of per 

capita income from 1997 through 1999. Rates for fiscal year 2003 are 

based on a 3-year average from 1998 through 2000. Although the formulas 

use overlapping years, the state population numbers used to compute per 

capita income differ depending on which fiscal year the grant is for. 

For these three programs, the fiscal year 2002 formula calculations 

used postcensal population estimates derived from the 1990 census for 

1997 through 1999 to calculate per capita income. Fiscal year 2003 

formula calculations used population estimates for 1998 through 2000 

derived from the 2000 census.[Footnote 4] Thus, the 2000 census affects 

matching rates for these programs beginning in fiscal year 2003 (see 

table 3).



Table 3: Population Data Used in Four Selected Formula Grant Programs, 

by Fiscal Year:



SSBG:



Fiscal year allocation 

or payment: 2001[A]; Data used: July 1998 postcensal state 

population estimates[B].



Fiscal year allocation 

or payment: 2002[C]; Data used: April 2000 decennial census 

by state.



Medicaid, Foster Care, and Adoption Assistance:



Fiscal year allocation 

or payment: 2002[A]; Data used: July 1997, 1998, and 1999 

postcensal state population estimates[B].



Fiscal year allocation 

or payment: 2003[C]; Data used: July 1998, 1999, and 2000 

state population estimates[D].



Sources: Department of Health and Human Services, Administration for 

Children and Families; and Department of Health and Human Services, 

Office of the Assistant Secretary for Planning and Evaluation.



[A] The last year the population estimates based on the 1990 census 

were used in the formula.



[B] These postcensal population estimates are based on the 1990 census.



[C] The first year that the counts based on the 2000 census were used 

in the formula.



[D] These population estimates were published by the Department of 

Commerce’s Bureau of Economic Analysis and were based on the 2000 

census.



[End of table]



Most of Population Difference Between 1999 and 2000 Resulted from 

Correction of Errors That Occurred During 1990s:



The difference between the 2000 census count and the 1999 postcensal 

population estimate was 3.2 percent, which is large compared with the 1 

percent average annual growth rate estimated over the preceding decade. 

Most of the difference was due to the correction of the error that had 

occurred during the 1990s. According to the Census Bureau, the size of 

the error was the result of an underestimate in the measurement of net 

international migration during the 1990s and the improved coverage of 

the 2000 census compared with the 1990 census. Consequently, the 

postcensal population estimate for 2000 was smaller than the 2000 

census count. Every state’s population growth was underestimated and 

needed correction, but the correction amounts varied widely. Among the 

four Census regions, only the Midwest[Footnote 5] showed a consistent 

pattern: all 12 states were close to or below the national average 

correction. California, Florida, and New York accounted for a high 

percentage of the correction in population estimates in their 

respective regions.



Correcting Errors in Population Estimates Accounted for Three-Quarters 

of the Difference Between 1999 to 2000:



The 2000 census count of 281.4 million people as reported by the Census 

Bureau exceeded the 1999 postcensal population estimate by 8.7 million 

people, or 3.2 percent. Slightly more than three-quarters of this 

difference (2.5 percent) was the result of correcting errors in the 

population estimates that occurred over the decade, called the error of 

closure (see app. I for detailed data for all states). The error of 

closure was 6.8 million people, substantially larger than the 1.5 

million error of closure associated with the 1990 census. The error of 

closure for the 2000 census was four times the corresponding percentage 

error for the 1990 census (2.5 percent compared with 0.6 percent).



The large error of closure in 2000 was due to underestimating the 

annual growth in population during the 1990s and to the improved 

coverage of the 2000 census over the 1990 census. The postcensal 

population estimates for the decade grew an average 1.0 percent 

annually. However, the 2000 census showed that the average annual 

growth rate in population was 0.2 percent higher than the estimated 

rate, or 1.2 percent. The Census Bureau revised its annual population 

estimates upward when it released its intercensal population estimates 

in the spring of 2002.



The Census Bureau cited two reasons for the size of the error in its 

postcensal estimated population growth through the 1990s. First, the 

net international migration was underestimated during the decade, 

especially for the Hispanic population. The Hispanic population was 

underestimated by approximately 10 percent, four times higher than the 

national average population underestimate, 2.5 percent.[Footnote 6] 

Second, the 2000 census was more accurate than the 1990 census. The 

population undercount from the 2000 census was much smaller compared 

with the 1990 census (1.18 percent, compared with 1.62 percent, making 

the 2000 census more accurate[Footnote 7]); the 2000 census counted 

people who were probably missed in the 1990 census.



Size of Population Correction Differed Widely Across States:



The error of closure shows a wide variation across states. For example, 

West Virginia and Michigan had the smallest percentage corrections, 

0.27 and 0.34 percent, respectively. The District of Columbia and 

Nevada had the largest percentage corrections in their population 

estimates, 10.2 percent and 7.5 percent, respectively. Twenty-eight 

states had a lower-than-average percentage difference, and 23 states 

had a greater-than-average percentage difference (see fig. 1 for the 

correction percentages for all states).



Among the four Census regions, the Midwest had the smallest correction 

in population, 1.5 percent; all 12 Midwest states had corrections close 

to or below the national average.[Footnote 8] In the other three 

regions, a single state accounted for a large share of the population 

change for the region. For example, in the South, Florida’s correction 

in population of 4.7 percent constituted about 25 percent of the 

correction for the entire region. Similarly, New York’s correction was 

44 percent of the northeastern states’ correction, and California’s 

correction was 26 percent of the correction for the western states.



Figure 1: Percentage Difference in Population Due to the Correction of 

the Error in Population Estimates, by State, on 

April 1, 2000:



[See PDF for image]



[End of figure]



2000 Census Correction of Population Estimates Redistributes an 

Estimated $380 Million Among States for Four Formula Grant Programs:



The correction to the population estimates generally redistributes 

federal funding for the four programs we analyzed from the states with 

the smallest corrections to those having the largest. Federal funding 

for the 28 states that had below-average corrections decreases by an 

estimated $380.3 million. In contrast, federal funding in the 23 states 

with above-average corrections to their population estimates increases 

by an estimated $388.8 million. Most of the change in funding is 

concentrated in states with larger populations. Michigan and Ohio, for 

example, account for 57 percent of the total decrease in funding for 

states with below-average population corrections. A number of high-

income states, including California and New York, are largely 

unaffected by the correction in their populations because their 

matching rates for the Medicaid, Foster Care, and Adoption Assistance 

programs cannot decrease below the minimum 50 percent matching rate. 

Without this minimum, more funding would be shifted among the states. 

While the redistribution of funding in the four programs began to occur 

in fiscal year 2002, almost all of it occurs in fiscal year 2003, when 

the 2000 census data are used to determine federal matching rates in 

the three open-ended entitlement programs.



Population Correction Causes Significant Funding Changes for Many 

States:



The correction in state populations resulting from the 2000 census 

causes significant changes in the funding levels among the states for 

the four programs we examined. We estimate that the funding for the 28 

states that had below-average corrections in their populations 

decreases by a total of $380.3 million. Conversely, funding for the 23 

states that had above-average corrections in their populations 

increases by an estimated $388.8 million (see table 4).



Table 4: Estimated Changes in Federal Funding as a Result of the 

Correction in Population, by Grant Program:



Dollars in thousands: 



[See PDF for image]



Sources: GAO calculations based on data obtained from the Department of 

Health and Human Services and the Department of Commerce, Bureau of the 

Census.



Note: Totals may not add because of rounding.



[End of table]



These results are dominated by a few highly populated states whose 

corrections were among the largest--meaning they are estimated to 

receive the most additional money or to lose the most. For example, 

Michigan, the eighth most populous state,[Footnote 9] has an estimated 

$119 million decline in funding because of its 0.34 percent correction 

in population. Michigan’s federal funding decrease accounts for about 

one-third of the decreases for the 28 states with a below-average 

correction in population. Moreover, when Michigan’s decrease is 

combined with that of Ohio, the seventh most populous state, the two 

states account for 57 percent of the estimated total decline in funding 

from the corrections of the population estimates. Conversely, Florida, 

the fourth most populous state, has the largest estimated increase in 

funding (about $126 million) because of the 4.7 percent correction in 

its population estimate. This is almost double the national average 

correction and accounts for about one-third of the estimated increase 

for the 23 states with an above-average correction in population.



Funding changes did not occur in some states and were muted in others 

because the states’ federal matching rates were fixed by the minimum 50 

percent rate for the three open-ended entitlement programs. For 

example, on the basis of its fiscal year 2000 spending levels, 

California would receive an estimated $305 million less in matching aid 

in the three entitlement programs if its matching rate were allowed to 

fall below the minimum. Because of the 50 percent minimum federal 

matching rate, however, California only receives an estimated $2.8 

million decrease--all of it linked to the SSBG. For the three 

entitlement programs, the correction in population had no effect in 11 

states that were affected by the 50 percent minimum, and for 2 states 

the correction in population had a diminished effect because of the 

floor.[Footnote 10]



The funding changes due to the population corrections showed little 

regional pattern except in the Midwest, where all 12 states had a 

correction in population estimates close to or below the national 

average that resulted in an estimated $289.5 million loss in funding 

owing to the correction in their populations.



Medicaid Accounts for Most of the Change in Program Funding:



Most of the change in funding resulting from the corrections in 

population estimates is the result of changes in Medicaid funding. The 

federal share of total Medicaid payments was approximately $111 billion 

in fiscal year 2000 and constituted 96 percent of the share of funding 

to the states for the four programs and approximately 96 percent of the 

total estimated change in funding as well.[Footnote 11]



The SSBG distributed $1.69 billion for fiscal year 2002, representing 

1.5 percent of the funding we analyzed. It accounted for a slightly 

higher percentage, 2.2 percent, of the estimated funding changes. 

Finally, the Foster Care and Adoption Assistance programs represented 

1.6 and 0.6 percent of the funding, respectively. They account for 1.4 

and 0.7 percent, respectively, of the estimated funding changes for 

2003.



The earliest effect of the 2000 census on any of the four programs we 

analyzed occurred when it was used to calculate fiscal year 2002 SSBG 

grants. For the Medicaid, Foster Care, and Adoption Assistance 

programs, the 2000 census is first used for fiscal year 2003 payments.



Agency Comments:



We provided the Department of Commerce a draft of this report for 

comment. The department provided technical comments, which we have 

incorporated where appropriate.



As arranged with your offices, unless you release its contents earlier, 

we plan no further distribution of this report until 30 days after its 

issuance date. At that time, we will send copies of this report to 

interested congressional committees; the Secretary of Commerce; the 

Secretary of Health and Human Services; and the Director, Bureau of the 

Census. We will also make copies available to others on request. In 

addition, the report will be available at no charge on GAO’s Web site 

at http://www.gao.gov.



If you or your staffs have questions about this report, please call me 

at (202) 512-7114 or Jerry Fastrup at (202) 512-7211. Major 

contributors to this report are Gregory Dybalski, Elizabeth T. 

Morrison, and Michael Rose.



Kathryn G. Allen

Director, Health Care--Medicaid 

 and Private Health Insurance Issues:



Signed by Kathryn G. Allen:



[End of section]



Appendix I Data for Population Estimates, Decennial Census Population 

Counts, and the Error of Closure:



This appendix compares the postcensal population estimates for July 1, 

1999, with the census count for April 1, 2000 (table 5), and compares 

the April 1, 2000, postcensal population estimates (based on the 1990 

census) with the census counts (table 6). States are listed in tables 5 

and 6 by the magnitude of the percentage correction in population.



Table 5: Comparison of the 1999 Postcensal Population Estimates and the 

2000 Census Counts:



[See PDF for image]



Source: Department of Commerce, Bureau of the Census, Population 

Estimates Division (Washington, D.C.), http://www.census.gov 

(downloaded Oct. 23, 2001).



Notes: The states are listed in order of increasing percentage of 

population correction. (See table 6.):



Totals may not add because of rounding.



[End of table]



The census is a population count made at the beginning of each decade 

as of April 1. It is based on a count of the entire population. 

Postcensal population estimates are made annually throughout a decade, 

usually as of July 1 of each year. Such estimates are based on the 

prior census and include annual population changes due to births, 

deaths, and domestic and international migration.



Table 6: Comparison of the 2000 Postcensal Population Estimates and the 

2000 Census Counts to Determine the Error of Closure and the Percentage 

Correction in Population:



[See PDF for image]



Sources: The postcensal population estimates for April 1, 2000, are 

from unpublished data provided by Department of Commerce, Bureau of the 

Census, Population Estimates Division. The April 1, 2000, census counts 

are from the Bureau of the Census, http://www.census.gov (downloaded 

Oct. 23, 2001).



Notes: The states are listed in order of increasing percentage of 

population correction.



Totals may not add because of rounding.



[End of table]



The census is a population count that is made at the beginning of each 

decade as of April 1. It is based on a count of the entire population. 

Postcensal population estimates are made annually throughout a decade, 

usually as of July 1 of each year. Such estimates are based on the 

prior census and include annual population changes due to births, 

deaths, and domestic and international migration. The error of closure 

is the difference between the postcensal population estimate and the 

census population count for the same date. The percentage correction in 

population is calculated by dividing the error of closure by the July 

1, 1999, postcensal population estimate.



[End of section]



Appendix II Analysis of Estimated Funding Changes for Four Formula 

Grant Programs:



This appendix contains the supporting data for our calculations of the 

estimated change in funding due to correcting the population estimates. 

Specifically, for each state, we provide the funding amounts for the 

four programs and the estimated funding changes due to the correction 

in population estimates. States are listed in tables 7 through 11 by 

the magnitude of the percentage correction in population.



Medicaid, Foster Care, and Adoption Assistance:



The Medicaid, Foster Care, and Adoption Assistance programs are open-

ended entitlement programs for which states determine the level of 

program expenditures. The federal government reimburses states for a 

share of eligible state spending based on state per capita income. To 

calculate the effect of the population correction on the Federal 

Medical Assistance Percentages (FMAP)--also called federal matching 

rates--we compared actual matching rates for fiscal year 2003,[Footnote 

12] based on the 2000 census, with the estimated matching rates based 

on the 1990 census (shown in table 7). Subtracting the estimated rates 

from the actual fiscal year 2003 rates shows the effect on the matching 

rates of correcting population estimates.



In general, the states that had a below-average correction in 

population have a decrease in federal matching rates, while the states 

that had an above-average correction in population have an increase in 

matching rates. For 13 high-income states, the correction in population 

had no effect or had a diminished effect because of the minimum 50 

percent matching rate. (Under the matching rate formula, no state can 

receive less than a 50 percent matching rate.) In our analysis, 11 

states receive the 50 percent matching rate for fiscal year 2003; 

hence, under the estimated rates, the correction in population shows no 

change in these states’ matching rates. Two additional states, 

Washington and Nevada, are partially affected. Washington’s actual 

fiscal year 2003 matching rate is at the 50 percent minimum, while its 

estimated matching rate is slightly above the 50 percent minimum. 

Conversely, Nevada’s actual fiscal year 2003 matching rate is above the 

minimum, and its estimated matching rate is at the 50 percent minimum.



The 70 percent matching rate for the District of Columbia is 

established by a special statutory provision. Accordingly, the District 

of Columbia’s matching rate remains unchanged, and the correction in 

population has no effect on funding.



Table 7: Actual and Estimated FMAPs for the Medicaid, Adoption 

Assistance, and Foster Care Programs for Fiscal Year 2003, by State:



[See PDF for image]



Source: 66 Fed. Reg. 59792 (2001) and GAO calculations of Department of 

Commerce, Bureau of the Census and Bureau of Economic Analysis data.



Notes: The states are listed in order of increasing percentage of 

population correction (see table 6).



[End of table]



The census is a population count made at the beginning of each decade 

as of April 1; it is based on a count of the entire population. 

Postcensal population estimates are made annually throughout a decade, 

usually as of July 1 of each year. Such estimates are based on the 

prior census and include annual population changes due to births, 

deaths, and domestic and international migration.



Analysis of Funding Changes for Medicaid for Fiscal Year 2003:



To measure the effect of the correction in the population estimates on 

federal payments, we estimated what federal payments would be using 

matching rates calculated on the basis of postcensal population 

estimates derived from the 1990 census. Specifically, multiplying the 

two sets of state matching rates in table 7 by program expenditures 

(fiscal year 2000 Medicaid expenditures) yields the estimated payments. 

The 2000 program expenditures were the latest year for which the data 

were available. (See table 8.):



Overall, the states that had a below-average correction in population 

show a decrease in payments, while the states that had an above-average 

correction in population show an increase in payments. As discussed in 

the previous section, 11 states show no effect, and 2 states show a 

partial effect because of the minimum 50 percent federal matching rate. 

The District of Columbia is also unaffected because of its special 

statutorily set matching rate. 



Table 8: Medicaid Program Expenditures and Estimated Federal Payments, 

by State:



[See PDF for image]



Source: Fiscal year 2000 program expenditures obtained from the 

Department of Health and Human Services, Centers for Medicare & 

Medicaid Services. GAO computed the estimated payments.



Notes: States are listed in order of increasing percentage of 

population correction.



Totals may not add because of rounding.



[A] Excludes administrative expenditures.



[End of table]



Analysis of Funding Changes for Foster Care and Adoption Assistance for 

Fiscal Year 2003:



The effects on the funding for Foster Care and Adoption Assistance are 

similar to the effects on the Medicaid programs because these programs 

use the same matching rates. Table 9 shows the Foster Care program 

expenditures for fiscal year 2000, the estimated federal payments, and 

changes in funding for Foster Care based on these estimated payments. 

Table 10 shows the Adoption Assistance program expenditures for fiscal 

year 2000, the estimated federal payments, and the changes in funding 

for the program based on the estimated payments.



Table 9: Foster Care Program Expenditures and Estimated Federal 

Payments, by State:



[See PDF for image]





Source: Fiscal year 2000 program expenditures obtained from the 

Department of Health and Human Services, Administration for Children 

and Families. GAO computed the estimated payments.



Note: States are listed in order of increasing percentage of population 

correction.



Totals may not add because of rounding.



[A] Excludes administrative expenditures.



[End of table]



Table 10: Adoption Assistance Program Expenditures and Estimated 

Federal Payments, by State:



[See PDF for image]



Source: Fiscal year 2000 program expenditures obtained from the 

Department of Health and Human Services, Administration for Children 

and Families. GAO computed the estimated payments.



Notes: The states are listed in order of increasing percentage of 

population correction.



Totals may not add because of rounding.



[A] Excludes administrative expenditures.



[End of table]



Social Services Block Grant:



The fiscal year 2002 formula allocations for the SSBG are based on the 

April 1, 2000, decennial census population counts. To calculate the 

effect of the correction in population estimates, we compared fiscal 

year 2002 allocations that were calculated using the April 1, 2000, 

decennial census (actual allocations) with allocations using the 1990 

postcensal population estimates for April 1, 2000 (estimated 

allocations). The differences in these allocations represent the effect 

of the population correction reflected in the 2000 census. The change 

in funding is directly proportional to the percentage correction in 

population because the SSBG allocations are calculated exclusively on 

the basis of population data (see table 11).



Table 11: SSBG State Allocations, Actual and Estimated, for Fiscal Year 

2002:



[See PDF for image]



Source: Department of Health and Human Services, Administration for 

Children and Families (Washington, D.C.), http://www.acf.hhs.gov 

(downloaded July 19, 2002). GAO computed the allocations for fiscal 

year 2002 based on the April 1, 2000, postcensal population estimates.



Notes: The states are listed in order of increasing percentage of 

population correction.



Totals may not add because of rounding.



[End of table]



The census is a population count that is made at the beginning of each 

decade as of April 1. It is based on a count of the entire population. 

Postcensal population estimates are made annually throughout a decade, 

usually as of July 1 of each year. Such estimates are based on the 

prior census and include annual population changes due to births, 

deaths, and domestic and international migration.



FOOTNOTES



[1] For this report, we use “state” to refer to the 50 states and the 

District of Columbia.



[2] U.S. General Services Administration, Catalog of Federal Domestic 

Assistance (Washington, D.C., December 2001 edition) (CD-ROM version).



[3] For more information about Census population estimates see 

Department of Commerce, Bureau of the Census, Population Estimates: 

Concepts and Geography (Washington, D.C.: Department of Commerce, Dec. 

26, 2001), http://eire.census.gov/popest/archives/place/concepts.php 

(downloaded Jan. 31, 2003).



[4] These population estimates were developed as interim estimates by 

the Department of Commerce’s Bureau of Economic Analysis.



[5] The 12 Midwest states are Illinois, Indiana, Iowa, Kansas, 

Michigan, Minnesota, Missouri, Nebraska, North Dakota, Ohio, South 

Dakota, and Wisconsin.



[6] J. Gregory Robinson, Accuracy and Coverage Evaluation: Demographic 

Analysis Results (Washington, D.C.: Department of Commerce, Bureau of 

the Census, March 2001), 9-11, http://landview.census.gov/dmd/www/

ReportRec.htm (downloaded Aug. 29, 2002).



[7] The percentages are the net undercounts for the 1990 and 2000 

censuses for household population from the 1990 Post-Enumeration Survey 

and 2000 Accuracy and Coverage Evaluation. Howard Hogan, Accuracy and 

Coverage Evaluation: Data and Analysis to Inform the ESCAP Report 

(Washington, D.C.: Department of Commerce, Bureau of the Census, March 

2001), 12-14, http://landview.census.gov/dmd/www/ReportRec.htm 

(downloaded Jan. 15, 2003).



[8] Nebraska and South Dakota were 0.03 and 0.04 percentage points 

above the national average, respectively.



[9] State population rankings are based on the 2000 census.



[10] The 11 states are California, Colorado, Connecticut, Delaware, 

Illinois, Maryland, Massachusetts, Minnesota, New Hampshire, New 

Jersey, and New York. The two states partially affected are Nevada and 

Washington. In addition, the District of Columbia receives a special 

federal matching rate of 70 percent and consequently is unaffected by 

the correction in population.



[11] See appendix II for additional detail, by state, on the changes in 

federal matching rates and estimated shifts in funding under each of 

the four programs.



[12] The matching rates for fiscal year 2003 are for the first year in 

which population estimates based on the 2000 census are used.



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