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Credit Report Errors and Their Implications for Consumers' which was 
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Statement for the Record Before the Committee on Banking, Housing, and 
Urban Affairs, U.S. Senate:

United States General Accounting Office:

GAO:

For Release on Delivery Expected at 10:00 a.m. EDT:

Thursday, July 31, 2003:

Consumer Credit:

Limited Information Exists On Extent of Credit Report Errors and Their 
Implications for Consumers:

Statement of Richard J. Hillman Director, Financial Markets and 
Community Investment:

GAO-03-1036T:

GAO Highlights:

Highlights of GAO-03-1036T, a statement for the record to Senate 
Committee on Banking, Housing, and Urban Affairs: 

Why GAO Did This Study:

Accurate credit reports are critical to the credit process—for 
consumers attempting to obtain credit and to lending institutions 
making decisions about extending credit. In today's sophisticated and 
highly calibrated credit markets, credit report errors can have 
significant monetary implications to consumers and credit granters. In 
recognition of the importance of this issue, the Senate Committee on 
Banking, Housing, and Urban Affairs asked GAO to (1) provide 
information on the frequency, type, and cause of credit report errors, 
and (2) describe the impact of the 1996 amendments to the Fair Credit 
Reporting Act (FCRA) on credit report accuracy and potential 
implications of reporting errors for consumers.

What GAO Found:

Information on the frequency, type, and cause of credit report errors 
is limited to the point that a comprehensive assessment of overall 
credit report accuracy using currently available information is not 
possible. Moreover, available literature and the credit reporting 
industry strongly disagree about the frequency of errors in consumer 
credit reports, and lack a common definition for “inaccuracy.” The 
literature and industry do identify similar types of errors and 
similar causes of errors. Specifically, several officials and reports 
cited collection agencies and governmental agencies that provide 
information on bankruptcies, liens, collections, and other actions 
noted in public records as major sources of errors. Because credit 
report accuracy is essential to the business activities of consumer 
reporting agencies and credit granters, the credit industry has 
developed and implemented procedures to help ensure accuracy. However, 
no study has measured the extent to which these procedures have 
improved accuracy. While the Federal Trade Commission (FTC) tracks 
consumer complaints on FCRA violations, these data are not a reliable 
measure of credit report accuracy. Additionally, FTC has taken eight 
formal enforcement actions directly or indirectly related to credit 
report accuracy since Congress enacted the 1996 FCRA amendments.

Neither the impact of the 1996 FCRA amendments on credit report 
accuracy nor the potential implications of errors for consumers is 
known. Specifically, because comprehensive or statistically valid data 
on credit report errors before and after the passage of the 1996 FCRA 
amendments have not been collected, GAO could not identify a trend 
associated with error rates. Industry officials and studies indicated 
that credit report errors could either help or hurt individual 
consumers depending on the nature of the error and the consumer’s 
personal circumstances. To adequately assess the impact of errors in 
consumer reports would require access to the consumer’s credit score 
and the ability to determine how changes in the score affected the 
decision to extend credit or the terms of the credit granted. 
Ultimately, a meaningful independent review in cooperation with the 
credit industry would be necessary to assess the frequency of errors 
and the implications of errors for individual consumers.

What GAO Recommends:

The lack of comprehensive information regarding the accuracy of credit 
reports inhibits any meaningful discussion of what could or should be 
done to improve credit report accuracy. Because of the importance of 
accurate credit reports to our national credit system, it would be 
useful to perform an independent assessment of the accuracy of credit 
reports. Another option for improving the accuracy of credit reports 
would be to create more opportunities for consumers to review credit 
reports. Such added reviews would likely help further ensure the 
overall accuracy of consumer credit reports.

www.gao.gov/cgi-bin/getrpt?GAO-03-1036T.

To view the full product, including the scope and methodology, click 
on the link above. For more information, contact Rick Hillman at (202) 
512-8678 or Harry Medina at (415) 904-2220.

[End of section]

Mr. Chairman and Members of the Committee:

I appreciate the opportunity to provide this committee with information 
on the accuracy of consumer credit reports. Accurate credit reports are 
critical for all consumers attempting to obtain credit and for lending 
institutions in making appropriate and timely decisions about extending 
credit. Information from credit reports is used to compile credit 
scores, which in turn are used as the basis for deciding whether to 
extend credit, and for setting rates and terms for mortgages and other 
consumer loans. Thus, inaccurate credit report data could have 
significant monetary implications for individual consumers and credit 
granters in today's sophisticated and highly calibrated credit markets.

To help promote the accuracy, fairness, and privacy of personal 
information assembled by consumer reporting agencies (CRAs), Congress 
enacted the Fair Credit Reporting Act (FCRA) in 1970.[Footnote 1] Under 
FCRA, CRAs must "follow reasonable procedures to assure maximum 
possible accuracy" in credit reports. In 1996, amendments to FCRA 
expanded the responsibilities of data furnishers, prohibiting them from 
knowingly providing inaccurate consumer information to a CRA in certain 
circumstances.[Footnote 2] Additionally, FCRA gave the Federal Trade 
Commission (FTC or Commission) responsibility for enforcing compliance 
with the act's provisions--to the extent that this authority did not 
overlap the authority of other financial regulators for specific 
institutions.

In a series of hearings this committee has recently held on FCRA 
issues, questions concerning the accuracy of credit reports have 
surfaced. In recognition of the importance of this issue, you asked us 
to provide the committee with information on (1) the frequency, nature, 
and cause of consumer credit report errors and (2) the impact of the 
1996 FCRA amendments on credit report accuracy and the potential 
implications of credit reporting errors on consumers.

The information that we are providing is based on a review of the 
limited literature on the subject, and on interviews and supporting 
documentation obtained from the three major CRAs; the Consumer Data 
Industry Association (CDIA), a trade association for the consumer 
reporting agencies; the National Foundation for Credit Counseling 
(NFCC), a national nonprofit credit counseling network; the Federal 
Trade Commission (FTC); the Federal Reserve; and five data 
furnishers.[Footnote 3] While we asked the three major CRAs to provide 
data on the frequency, type, and cause of errors in credit reports, 
they told us that they did not have data that would specifically 
respond to our request. The CRAs also told us that they compete with 
each other on the basis of the accuracy and completeness of their 
credit reports and were reluctant to provide us with any data they 
considered proprietary. However, they did agree to provide available 
information on consumer disputes to CDIA, their trade association, 
which provided that data to us in aggregated form. Consequently, we 
were unable to independently verify the accuracy of this data. Except 
for this limitation, we conducted our work in accordance with generally 
accepted government auditing standards from June through July 2003.

In summary, we found that information contained in the literature and 
the available industry data on the frequency, types, and causes of 
credit report errors are limited. Moreover, there is a large variance 
in the frequency of errors presented by the literature and industry 
data. Unfortunately, we cannot determine a definitive level of credit 
report accuracy because of the data limitations inherent to both the 
literature and industry data. However, the literature and industry had 
identified similar types of errors in credit reports, including the 
inclusion of incorrect information and the exclusion or incomplete 
reporting of information. Additionally, the literature and industry 
consensus was that the causes of errors included consumers, data 
furnishers, and CRAs. However, several industry officials and reports 
identified collection agencies and organizations providing public 
records data--on actions such as bankruptcies, liens, and collections-
-as being major sources of errors in credit reports. In an effort to 
ensure accuracy of credit report data, the credit industry has 
developed and implemented procedures that standardized the manner in 
which information was collected and transmitted. The FTC tracks 
consumer complaints regarding possible FCRA violations and has taken 
eight enforcement actions as of July 24, 2003, directly or indirectly 
related to credit report data accuracy since the passage of the 1996 
FCRA amendments.

We cannot readily determine the impact of the 1996 FCRA amendments on 
credit report accuracy or the potential implications of credit report 
errors on consumers. This is attributable to the lack of trend data 
available on credit report errors. Specifically, no entity collects or 
maintains the necessary data for such an assessment. Similarly, we 
could not determine the potential implications for consumers of credit 
reporting errors due to the lack of quality information on the 
frequency of errors. However, industry officials and studies suggested 
that errors and inaccuracies in credit reports have the potential to 
both help and hurt individual consumers. Minor inaccuracies in a 
consumer's credit file may not hurt a consumer if that individual had a 
very good credit history. On the other hand, errors or inaccuracies in 
the credit report of a consumer with a less than perfect credit history 
could result in the denial of credit or an offer of less favorable 
credit terms. So, the impact of any particular error or inaccuracy in a 
credit report is dependent on the specific circumstances of the 
consumer.

The lack of comprehensive information regarding the accuracy of credit 
reports inhibits any meaningful discussion of what could or should be 
done to improve credit report accuracy. Because of the importance of 
accurate credit reports to our national credit system, it would be 
useful to perform an independent assessment of the current level of 
accuracy of credit reports. The assessment would then form the basis 
for a more complete and productive discussion of the costs and benefits 
of making changes to the current system of credit reporting to improve 
credit report accuracy. Another option for improving the accuracy of 
credit reports would be to create more opportunities for consumers to 
review credit reports. When consumers see their credit reports, they 
have a chance to identify errors and ask for corrections, thus helping 
to ensure greater overall accuracy of consumer credit reports.

Information on Frequency, Type, and Cause of Credit Report Errors Is 
Limited; Industry Data and Available Studies Disagree on Frequency of 
Errors:

Available studies and credit reporting industry data disagree on the 
extent of errors in credit reports. The limited literature on credit 
report accuracy indicated high rates of errors in credit report data. 
In contrast, the major CRAs and CDIA stated that they did not track 
errors specifically but that the data the credit industry maintained 
suggested much lower rates of errors. Both the literature and the data 
provided by the credit industry had serious limitations that restricted 
our ability to assess the overall level credit reporting accuracy. Yet, 
all of the studies identified similar types and causes of errors. While 
data provided by the credit industry did not address type and cause of 
errors, representatives from the three major CRAs and CDIA cited types 
and causes similar to those cited in the literature. The credit 
industry has developed and implemented procedures to help ensure 
accuracy of credit report data, although no one has assessed the 
efficacy of these procedures. Moreover, FTC tracks consumer disputes 
regarding the accuracy of information in credit reports and has taken 
eight enforcement actions directly or indirectly involving credit 
report accuracy since 1996.

Literature Raised Serious Questions Regarding Level of Credit Report 
Accuracy:

We identified three studies completed after the 1996 FCRA amendments 
that directly addressed credit report accuracy, and one that indirectly 
addressed the topic. One of these reports, published in December 2002 
by Consumer Federation of America, presents the frequency and types of 
errors drawn from files requested by mortgage lenders on behalf of 
consumers actively seeking mortgages.[Footnote 4] The Consumer 
Federation of America initially reviewed 1,704 credit files 
representing consumers from 22 states and subsequently re-examined a 
sample of 51 three-agency merged files. In this sample of merged files, 
the study found wide variation in the information maintained by the 
CRAs, and that errors of omission were common in credit reports. For 
example, the report stated that about:

* 78 percent of credit files omitted a revolving account in good 
standing;

* 33 percent of credit files were missing a mortgage account that had 
never been late;

* 67 percent of credit files omitted other types of installment 
accounts that had never been late;

* 82 percent of the credit files had inconsistencies regarding the 
balance on revolving accounts or collections; and:

* 96 percent of the credit files had inconsistencies regarding an 
account's credit limit.

A March 1998 U.S. Public Interest Research Group (U.S. PIRG) study 
found similar frequencies of errors in 133 credit files representing 88 
individual consumers.[Footnote 5] U.S. PIRG reported that 70 percent of 
the files reviewed contained some form of error. The errors ranged in 
severity from those unlikely to have negative repercussions to those 
likely to cause a denial of credit. For example, the report found:

* 41 percent of the credit files contained personal identifying 
information that was long-outdated, belonged to someone else, was 
misspelled, or was otherwise incorrect;

* 29 percent of the credit files contained an error--accounts 
incorrectly marked as delinquent, credit accounts that belonged to 
someone else, or public records or judgments that belonged to someone 
else--that U.S. PIRG stated could possibly result in a denial of 
credit; and:

* 20 percent of the credit files were missing a major credit card 
account, loan, mortgage, or other account that demonstrated the 
creditworthiness of the consumer.

Similar to the U.S. PIRG study, a 2000 survey conducted by Consumers 
Union and published by Consumer Reports asked 25 Consumers Union 
staffers and their family members to apply for their credit reports and 
then review them.[Footnote 6] In all, Consumers Union staff and family 
members received and evaluated 63 credit reports and in more than half 
of the reports, they found inaccuracies that they reported as having 
the potential to derail a loan or deflect an offer for the lowest-
interest credit card. The inaccuracies identified were similar to those 
reported by the Consumer Federation of America and U.S. PIRG--inclusion 
of information belonging to other consumers, inappropriately attributed 
debts, inaccurate demographic information, and inconsistencies between 
the credit reports provided by the three major CRAs regarding the same 
consumer.

While not specifically assessing the accuracy of credit reports, a 
Federal Reserve Bulletin article found that credit reports contained 
inconsistencies and cited certain types of data furnishers, including 
collection agencies and public entities, as a primary source for some 
of the inconsistencies found.[Footnote 7] Among the study's findings:

* Approximately 70 percent of the consumers in the study's sample had a 
missing credit limit on one or more of their revolving accounts,

* Approximately 8 percent of all accounts showed positive balances but 
were not up to date,

* Between 1 and 2 percent of the files were supplied by creditors that 
reported negative information only, and:

* Public records inconsistently reported actions such as bankruptcies 
and collections.

An important aspect of the Federal Reserve study was that it used a 
statistically valid and representative sample of credit reports, and 
received access to this sample with the cooperation of one of the three 
major CRAs. However, because the sample came from one CRA only, the 
findings of the study may not be representative of other CRAs.

CRA and CDIA Data Indicate Consumer Disputes Rarely Identified Errors:

Representatives of the three major CRAs and CDIA told us that they do 
not maintain data on the frequency of errors in credit reports. 
However, the industry does maintain data that suggest errors are 
infrequent in cases of an adverse action.[Footnote 8] CDIA stated that 
the three major CRAs provided or disclosed approximately 16 million 
credit reports, out of approximately 2 billion reports sold annually in 
the marketplace. According to CDIA data, 84 percent of the disclosures 
followed an adverse action and only 5 percent of disclosures went to 
people who requested their reports out of curiosity. Out of these 
disclosures, CRA officials stated that an extremely small percentage of 
people identified an error.

An Arthur Andersen study, conducted in 1992, found a similar infrequent 
rate of errors arising from adverse actions. Under commission by the 
Associated Credit Bureaus (now CDIA), the study reportedly found that 
only 36 consumers--out of a sample of 15,703 people denied credit--
disputed erroneous information that resulted in a reversal of the 
original negative credit decision.[Footnote 9] Similarly, in an attempt 
to respond to our data request, CDIA produced data gathered by a 
reseller over a two-week period that indicated that out of 189 mortgage 
consumers, only 2 consumers (1 percent) had a report that contained an 
inaccuracy. In our conversation with data furnishers, we discovered 
that two conduct internal audits on the accuracy of the information 
they provide to the CRAs. These data furnishers indicated that the 
information they provide and the CRAs maintain is accurate 99.8 percent 
of the time.

While consumer disputes do not provide a reliable measure of credit 
report accuracy, CRA representatives told us that disputes provide an 
indicator of what people perceive as errors when reviewing their credit 
files. A CDIA official stated that five types of disputes comprise 
about 90 percent of all consumer disputes received by the three major 
CRAs. These five dispute types are described as:

* Claims account has been closed;

* Dispute present or previous account status, payment history, or 
payment rating;

* Dispute current balance;

* Dispute related to disposition of account included in or excluded 
from a bankruptcy; and:

* Not my account.

Although CDIA could not provide a definitive ranking for all five types 
of disputes, it did state that "not my account" was the most frequently 
received dispute. After receiving a consumer's dispute, FCRA requires a 
CRA to conduct a reinvestigation. The purpose of reinvestigation is to 
either verify the accuracy of the disputed information, or to confirm 
and remove an error.

CDIA provided data on the disposition of dispute reinvestigations by 
categories of those received by the three major CRAs in 2002. CRA 
officials explained that the data represents the first 3 quarters of 
2002, and that each CRA reported data on a different quarter. CDIA 
declined to provide the total number of consumer disputes. Table 1 
shows the frequency of these four disposition categories. Specifically, 
the table indicates that over half of all disputes required the CRA to 
modify a credit report in some way, though not necessarily to remove an 
error.[Footnote 10]

Table 1: Disposition of Consumer Disputes:

Result of Dispute: Information verified as reported; Percent of 
Disputes: 46.

Result of Dispute: Data modified/updated per furnisher's instructions; 
Percent of Disputes: 27.

Result of Dispute: Data deleted per furnisher's instructions; Percent 
of Disputes: 10.5.

Result of Dispute: Data deleted due to statutory time limit; Percent of 
Disputes: 16.

Source: CDIA.

Notes: As provided by CDIA, percentages do not total to 100.

[End of table]

It is important to emphasize that not every dispute leads to 
identifying an error. Indeed, many disputes, as the table indicates, 
resulted in a verification of accuracy or an update of existing 
information. Additionally, CRA and CDIA representatives stated that 
many disputes resulted in the CRA clarifying or explaining why a piece 
of information was included in the credit report. For example, if 
recently married consumers obtained a copy of their files, they might 
not see their married names on file. In such cases, the files still 
accurately reflected the most current information provided to the CRA, 
but the consumer may have perceived the less-than-current information 
as an error while the CRA would not. The CRA representative cited 
another example of a consumer seeing an account listed with a creditor 
he or she did not recognize. However, the account in question was with 
a retailer that subsequently outsourced its lending to another company. 
In this case, the information was correct but the consumer was not 
aware of the outsourcing. One CRA representative indicated that over 50 
percent of the calls they received resulted in what they consider 
"consumer education.":

Literature and Industry Data Have Serious Limitations:

We cannot determine the frequency of errors in credit reports based on 
the Consumer Federation of America, U.S. PIRG, and Consumers Union 
studies.[Footnote 11] Two of the studies did not use a statistically 
representative methodology because they examined only the credit files 
of their employees who verified the accuracy of the information, and it 
was not clear if the sampling methodology in the third study was 
statistically projectable. Moreover, all three studies counted any 
inaccuracy as an error regardless of the potential impact. Similarly, 
the studies used varying definitions in identifying errors, and 
provided sometimes obscure explanations of how they carried out their 
work. Because of this, the findings may not represent the total 
population of credit reports maintained by the CRAs. Moreover, none of 
these groups developed their findings in consultation with members of 
the credit reporting industry, who, according to a CDIA representative, 
could have verified or refuted some of the claimed errors.

Beyond these limitations, a CDIA official stated that these studies 
misrepresented the frequency of errors because they assessed missing 
information as an error. According to CRA officials errors of omission 
may be mitigated in certain instances because certain lenders tend to 
use merged credit report files in making lending decisions, such as 
mortgage lenders and increasingly credit card lenders. CRA officials 
explained that while complete and current data are necessary for a 
wholly accurate credit file, both are not always available to them. For 
instance, credit-reporting cycles, which dictate when CRAs receive data 
updates from data furnishers, may affect the timeliness of data. CRAs 
rely on these updates, which may come daily, weekly, or monthly 
depending on the data furnisher's reporting cycle. If a data furnisher 
provided information on a monthly basis there would be a lag between a 
consumer's payment, for example, and the change in credit file 
information. Likewise, if a data furnisher reported to one CRA but not 
to another, the two reports would differ in content and could produce 
different credit scores. It is important to note that reporting 
information to the CRAs is voluntary on the part of data furnishers. 
While the Federal Reserve Bulletin article noted inconsistencies as an 
area of concern, it recognized that all credit reports would not 
contain identical information.

Along with misrepresenting error frequency by counting omitted 
information, industry officials believed that the literature 
misrepresented the frequency of errors because the literature defined 
errors differently than the credit industry. The CRAs and CDIA stated 
that they consider only those errors that could have a meaningful 
impact on a person's credit worthiness as real errors. This distinction 
is critical to assessing accuracy, as, according to the CDIA, a mistake 
in a consumer's name might literally be an inaccuracy, but may 
ultimately have no impact on the consumer.

The data provided by CDIA and the CRAs have serious limitations as 
well. For example, neither CDIA nor CRA officials provided an 
explanation of the methodology for the collection of data provided by 
CDIA and for the assessments cited by the CRAs. Moreover, because these 
data related primarily to those errors that consumers disputed after an 
adverse action, they excluded a potentially large population of errors. 
Specifically, these data excluded errors that would cause a credit 
grantor to offer less favorable terms on a loan rather than deny the 
loan application. The data also excluded errors in cases where 
consumers were not necessarily seeking a loan and therefore did not 
have a need to review their credit reports. Additionally, as stated 
earlier, only a small percentage of consumers requested credit reports 
simply out of curiosity. While the CDIA representatives felt that these 
data were useful for assessing a level of accuracy, they agreed that by 
focusing on these data only, the industry did not consider a 
potentially large set of errors.

Both Literature and Industry Identified Similar Types and Causes of 
Errors:

While both the literature and credit industry representatives cited 
similar types and causes of errors, neither the literature nor the 
credit industry data identified one particular type or cause of error 
as the most common. All respondents stated that error type could range 
from wrong names and incorrect addresses to inaccurate account balances 
and erroneous information from public records.

Based on the literature we reviewed and on our discussions with CRA and 
data furnisher officials, we could not identify any one cause or source 
most responsible for errors. However, the Consumer Federation 2002 
study, the Federal Reserve Bulletin article, and a representative from 
the National Foundation for Credit Counseling stated they felt data 
furnishers often caused more errors than did CRAs or consumers. 
According to several respondents, this was particularly true for data 
furnishers, such as collection agencies and public entities that did 
not rely on accurate credit reports for lending decisions. For example, 
while a bank needs accurate information in assessing lending risk, and 
thus attempts to report accurate information, a collection agency does 
not rely on credit reports for business decisions, and therefore has 
less of an incentive to report fully accurate information. Data 
furnishers told us that they did not consider CRAs as a significant 
cause of errors, but stated that difficulty in matching consumer 
identification information might cause some errors. Data furnishers 
also stated that the quality control efforts among data furnishers 
might vary due to the extent of data integrity procedures in place. 
They explained that some smaller data furnishers might not have 
sophisticated quality control procedures because implementing such a 
system was expensive.

On the other hand, errors might occur at any step in the credit 
reporting process. Consumers could provide inaccurate names or 
addresses to a data furnisher. A data furnisher might introduce 
inaccuracies while processing information, performing data entry, or 
passing information on to the CRAs. And, CRAs might process data 
erroneously. Figure 1 shows some common causes for errors that might 
occur during the credit reporting process.

Figure 1: Common Causes of Errors in the Consumer Credit Report 
Process:

[See PDF for image]

[End of figure]

CRAs and data furnishers also cited other causes of errors. For 
example, collection agencies and public records on bankruptcies, tax 
liens, and judgments were cited as major sources of errors. CRA 
officials and data furnishers said the growing number of fraudulent 
credit "repair" clinics that coach consumers to make frivolous 
reinvestigation requests in an effort to get accurate, though negative, 
information off the credit report also might cause errors, as disputed 
information a CRA cannot verify within 30 days is deleted from the 
consumer's credit report. File segregation, a tactic in which a 
consumer with a negative credit history tries to create a new credit 
file by applying for credit using consistent but inaccurate 
information, was another reported cause for inaccurate credit data.

Industry Has Implemented Procedures to Ensure Data Consistency and 
Accuracy, but Efficacy of Procedures Not Known:

The credit industry has been working on systems to help ensure accuracy 
since the "reasonable procedures" standard took effect under FCRA in 
1970. Within the last decade, CDIA has led efforts to implement 
industry systems and processes to increase the accuracy of credit 
reports. In commenting upon accuracy, representatives from CDIA, the 
CRAs, the Federal Reserve, and the data furnishers stated that credit 
score models were highly calibrated and accurate and, on the aggregate 
level, credit reports and scores were highly predictive of credit 
risk.[Footnote 12]

During the 1970s, the Associated Credit Bureaus (now CDIA) attempted to 
increase report accuracy by introducing Metro 1, a method of 
standardizing report formats. The goals of Metro 1 were to create 
consistency in reporting rules and impose a data template on the 
industry. In conjunction with the industry, in 1996 CDIA created Metro 
2, an enhancement of the Metro 1 format that enables a finer 
distinction for reporting information. For example, Metro 2 allowed 
CDIA to implement an "Active Military Code" to protect the credit 
reports of troops serving overseas. Since active military personnel are 
legally entitled to longer periods to make credit payments without 
penalty, this new code ensured that data furnishers did not incorrectly 
report accounts as delinquent.

While use of the Metro format is voluntary, CRAs currently receive over 
99 percent of the volume of credit data--30,000 furnishers providing a 
total of 2 billion records per month--in either Metro 1 or Metro 2 
format, with over 50 percent sent in Metro 2. One data furnisher who 
recently switched from Metro 1 to Metro 2 found that data accuracy 
improved overall as evidenced by the reduction in the number of data 
rejections by the CRAs and dispute data. Those data furnishers that do 
not use the Metro formats provide data on compact disc, diskette, tape, 
or other type of electronic media. While use of standardized reporting 
formats ensures more consistent reporting of information, because the 
industry has never conducted a study to set a baseline level of error 
frequency in credit reports, and does not currently collect such data, 
no one knows the extent to which these systems have improved accuracy 
in credit reports.

FTC Has Taken Enforcement Actions Related to the Accuracy of Credit 
Reports Since 1996 FCRA Amendments:

FTC has taken eight formal enforcement actions since the passage of the 
1996 FCRA amendments against CRAs, data furnishers, and resellers that 
directly or indirectly relate to credit report accuracy.[Footnote 13] 
FTC receives and tracks FCRA complaint data against CRAs by violation 
type and uses this data to identify areas that may warrant an 
enforcement action. While these data cannot provide the number of 
violations or frequency of errors in credit reports, since each 
complaint does not necessarily correspond to a violation, they can give 
a sense of the relative frequency of complaints surrounding CRAs. We 
discuss complaint data in more detail in the next section.

According to FTC staff, accuracy in the context of FCRA means more than 
the requirement that CRAs establish "reasonable procedures to assure 
maximum possible accuracy of their reports." They explained that the 
statute also seeks to improve accuracy of credit reports by a "self-
help" process in which the different participants comply with duties 
imposed by FCRA. First, creditors and others that furnish information 
are responsible for accuracy. Second, credit bureaus must take 
reasonable steps to ensure accuracy. Finally, users of credit reports 
must notify consumers (provide adverse action notices) about denials of 
a loan, insurance, job, or other services because of something in their 
credit report. FTC staff stated that it is crucial that consumers 
receive adverse action notices so that they can obtain their credit 
reports and dispute any inaccurate information. For that reason, the 
Commission has made enforcement in this area a priority.

FTC staff stated that their primary enforcement mechanism is to pursue 
action against a CRA or data furnisher that showed a pattern of 
repeated violations of the law identified through consumer complaints. 
According to FTC staff, the Commission has taken eight enforcement 
actions against CRAs, furnishers, or lenders, since 1996 that directly 
or indirectly addressed credit report accuracy.[Footnote 14] One case 
pertained to a furnisher providing inaccurate information to a CRA, two 
cases pertained to a furnisher or CRA failing to investigate a consumer 
dispute, and two actions were taken against lenders that did not 
provide adverse action notices as required by statute. The remaining 
three cases were against the major CRAs for blocking consumer calls and 
having excessive hold times for consumers calling to dispute 
information on their credit reports.[Footnote 15] In addition to 
enforcing FCRA, FTC also provides consumer educational materials and 
advises consumers on their rights (such as the right to sue a CRA or 
data furnisher for damages and recoup legal expenses).

Impact of 1996 FCRA Amendments on Credit Report Accuracy and the 
Potential Effects of Errors on Consumers Is Not Fully Known:

To date, no comprehensive assessments have addressed the impact of the 
1996 FCRA credit report accuracy amendments or the potential effects 
inaccuracies have had on consumers. In addition, because it has not 
conducted surveys, FTC was not able to provide overall trend data on 
the frequency of errors in credit reports. Industry officials as well 
as two studies we reviewed suggest that errors and inaccuracies in 
credit reports have the potential to both help and hurt individual 
consumers, while in some instances errors or inaccuracies may have no 
effect on the consumer's credit score. The impact of any particular 
error or inaccuracy in a particular credit report will be dependent on 
the unique and specific circumstances of the consumer.

Information on the Impact of FCRA Amendments on Credit Report Accuracy 
Was Not Available:

Data on the impact of the 1996 FCRA amendments on credit report 
accuracy was not available. For instance, we could not identify impact 
information from the literature we reviewed and industry officials with 
whom we spoke said they did not collect such data. Furthermore, FTC 
could not provide overall trend data but did provide FCRA-related 
consumer complaint data involving CRAs.

FTC staff could not say what the trend in the frequency of errors in 
credit reports has been since the 1996 amendments because that data is 
not available. However, FTC officials provided consumer complaint data 
that shows from 1997 through 2002, the number of FCRA complaints 
involving CRAs received annually by FTC increased from 1,300 to almost 
12,000. The most common complaints cited against CRAs in 2002 pertained 
to the violations are listed below:

* Provided inaccurate information (5,956 complaints);

* Failed to reinvestigate disputed information (2,300 complaints);

* Provided inadequate phone help (1,291 complaints);

* Disclosed incomplete/improper credit file to customer (1,033 
complaints); and:

* Improperly conducted reinvestigation of disputed item (771 
complaints).

Consumer complaint data involving CRAs and FCRA provisions represent 
3.1 percent of the total complaints FTC received directly from 
consumers on all matters in 2002. The FTC staff explained that their 
knowledge was limited to complaints that came into the agency and that 
they did not conduct general examinations or evaluations that would 
enable them to project trends. FTC staff cautioned that it would not be 
appropriate to conclude that since the complaints against CRAs were on 
the rise, accuracy of credit reports was deteriorating. They stated 
that the increase in the number of complaints could be due to greater 
consumer awareness of FTC's role with respect to credit reporting, as 
well as a general trend towards increased consumer awareness of credit 
reporting and scoring.

Errors May Result in Both Positive and Negative Impacts on Consumers:

CRAs and the literature suggest that credit-reporting errors could have 
both a positive and negative effect on consumers. One CRA stated that 
errors occur randomly and may result in either an increase, decrease, 
or no change in a credit score. Another CRA stated that information 
erroneously omitted from a credit report such as a delinquency, 
judgment, or bankruptcy filing would tend to raise a credit score while 
that same information erroneously posted to the report would tend to 
lower the score. The Consumer Federation of America study cited earlier 
also analyzed 258 files to determine whether inconsistencies were 
likely to raise or lower credit scores. In approximately half the files 
reviewed (146 files, or 57 percent), the study could not clearly 
identify whether inconsistencies in credit reports were resulting in a 
higher or lower score. The study determined that in the remaining 112 
files there was an even split between files that would result in a 
higher or lower score (56 files, or 22 percent for each). The Federal 
Reserve Bulletin article previously mentioned also concluded that 
limitations in consumer reporting agency records have the potential to 
both help and hurt individual consumers. The article further stated 
that consumers who were hurt by ambiguities, duplications, and 
omissions in their files had an incentive to correct them, but 
consumers who were helped by such problems did not.

Impact of Errors May Be Influenced by Other Factors in a Credit File:

Industry officials and the literature we reviewed suggested that the 
impact of an error in a consumer's credit report was dependent on the 
specific circumstance of the information contained in a credit file. 
CRA and data furnisher officials further pointed out that a variety of 
factors such as those identified by Fair Isaac, a private software firm 
that produces credit score models, might impact a credit 
score.[Footnote 16] According to the Fair Isaac Web site, their credit 
score model considers five main categories of information along with 
their general level of importance to arrive at a score. These 
categories and their respective weights in determining a credit score 
include payment history (35 percent), amounts owed (30 percent), length 
of credit history (15 percent), types of credit in use (10 percent) and 
new credit (10 percent). As such, no one piece of information or factor 
alone determines a credit score. For one person, a given factor might 
be more important than for someone else with a different credit 
history. In addition, as the information in a credit report changes, so 
does the importance of any factor in determining a credit score. Fully 
understanding the impact of errors on consumer's credit scores would 
require access to consumer credit reports, discussions with consumers 
to identify errors, and discussions with data furnishers to determine 
what impact, if any, correction of errors might have on decisions made 
based on the content of a credit report.

Observations:

The lack of comprehensive information regarding the accuracy of 
consumer credit reports inhibits any meaningful discussion of what more 
could or should be done to improve credit report accuracy. Available 
studies suggest that accuracy could be a problem, but no study has been 
performed that is representative of the universe of credit reports. 
Furthermore, any such study would entail the cooperation of the CRAs 
data furnishers, and consumers to fully assess the impact of errors on 
credit scores and underwriting decisions. Because of the importance of 
accurate credit reports to the fairness of our national credit system, 
it would be useful to perform an independent assessment of the accuracy 
of credit reports. Such an assessment could be conducted by FTC or paid 
for by the industry. The assessment would then form the basis for a 
more complete and productive discussion of the costs and benefits of 
making changes to the current system of credit reporting to improve 
credit report accuracy.

Another option for improving the accuracy of credit reports would be to 
create the opportunity for more reviews of credit reports by consumers. 
One way this could be accomplished would be to expand the definition of 
what constitutes an adverse action. Currently, consumers are only 
entitled to receive a free copy of their credit reports when they 
receive adverse action notices for credit denials or if they believe 
that they have been the victim of identity theft. When consumers see 
their credit reports, they have a chance to identify errors and ask for 
corrections to ensure the accuracy of their credit reports. Expanding 
the criteria for adverse actions to include loan offers with less than 
the most favorable rates and terms would likely increase the review of 
credit files by consumers. Such added review of credit files would in 
all likelihood help to further ensure the overall accuracy of consumer 
credit reports. However, the associated costs to the industry would 
also need to be considered against the anticipated benefits of 
increasing consumer access to credit reports.

Contacts and Acknowledgement:

For further information regarding this testimony, please contact Harry 
Medina at (415) 904-2000. Individuals making key contributions to this 
statement include Janet Fong, Jeff R. Pokras, Mitchell B. Rachlis, and 
Peter E. Rumble.

FOOTNOTES

[1] Pub. L. No. 91-508, (15 U.S.C. § 1681 et. seq.).

[2] Consumer Credit Reporting Reform Act of 1996, Pub. L. 104-208, 110 
Stat. 3009-426.

[3] The consumer reporting agencies we contacted were Equifax, 
Experian, and TransUnion. The data furnishers that we contacted were 
Bank of America, Citigroup, Discover, MBNA, and JP Morgan/Chase.

[4] Consumer Federation of America and National Credit Reporting 
Association, Credit Score Accuracy and Implications for Consumers, 
December 2002.

[5] U.S. PIRG, Mistakes Do Happen: Credit Report Errors Mean Consumers 
Lose, March 1998.

[6] "Credit Reports: How Do Potential Lenders See You?" 
ConsumerReports.org, July 2000.

[7] Robert Avery, Paul Calem, Glenn Canner, and Raphael Bostic, "An 
Overview of Consumer Data and Credit Reporting," Federal Reserve 
Bulletin, February 2003.

[8] When a creditor or lender decides not to extend credit to an 
individual or not to extend credit on the terms the individual requires 
and the individual does not accept a counteroffer, this is considered 
an adverse action. After an adverse action, consumers have the right to 
a free copy of their credit report.

[9] This study found that 1,223 of their sample of 15,703 consumers who 
were denied credit had requested their credit reports. Of those that 
had requested their credit reports, 304 consumers found and disputed 
errors. At the time of the study, 36 of those disputes had resulted in 
a reversal of the original negative credit decision.

[10] "Information verified as reported" encompasses disputed 
information found to be accurate after reinvestigation. "Data modified/
updated per furnisher's instructions" encompasses disputed information 
that a CRA modified or updated after reinvestigation. According to 
CDIA, the information in this category was not necessarily inaccurate. 
"Data deleted per furnisher's instructions" encompasses information 
identified as inaccurate through reinvestigation. "Data deleted due to 
statutory time limit" encompasses information that a CRA had to delete 
because the reinvestigation process exceeded the time limits set by 
FCRA.

[11] The Federal Reserve Bulletin article did not address the frequency 
of errors, although it did discuss findings of inconsistencies.

[12] Because many credit grantors are also data furnishers, it is 
generally in their best interest to report accurate information to the 
CRAs, as they rely on credit reports received from the CRAs in 
assessing risk. Likewise, the CRAs depend on ensuring accuracy in their 
credit reports in order to provide a quality product to their 
customers, the credit grantors.

[13] Prior to 1996, FTC carried out actions involving procedures to 
ensure the accuracy of credit reports against TransUnion in 1983, TRW 
(which would later become Experian) in 1991, and Equifax in 1995. 
According to FTC, these "omnibus" actions differed in detail but 
generally covered a variety of FCRA issues including accuracy, 
disclosure, permissible purposes, and prescreening. While we limited 
this review to FTC's accuracy-related efforts, we are currently 
conducting additional work as part of another ongoing engagement 
looking at FTC and the banking regulator's enforcement of FCRA. A 
number of other federal agencies have responsibilities under FCRA 
including the Office of the Comptroller of the Currency, Federal 
Reserve Board, Office of Thrift Supervision, National Credit Union 
Administration, Federal Deposit Insurance Corporation, Department of 
Transportation, and Department of Agriculture. Each entity can pursue 
FCRA enforcement actions against their respective regulated 
institutions as identified in FCRA. 

[14] The eight cases are First American Real Estate Solutions LLC, 
Docket No. C-3849 (1999); U.S. v. Unicor Funding, Inc., Civ. No. 99-
1228 (C.D. Cal. 1999); U.S. V. Equifax, No1:00 CV-0087 (C.D. Ga. 2000); 
U.S. v. Experian, No. 3-00CV0056-L (N.D. Tex. 2000); U.S. v. 
TransUnion, 00C 0235 (N.D. Ill. 2000); U.S. v. Performance Capital 
Management, Inc., No. 01-1047 (C.D. Cal. 2001); U.S. v. DC Credit Serv. 
Inc., Civ. No. 02-5115 (C.D. Cal. 2002); Quicken Loans Inc. Docket No. 
9304 (Apr. 8, 2003).

[15] FTC has also investigated landlord's compliance with their duty to 
provide FCRA required notices to consumers who suffered adverse action 
based on their consumer reports in connection with apartment rental 
applications. The Commission did not bring any formal actions, but 
published a consumer alert and a business education brochure for 
landlords that resulted from this enforcement effort.

[16] Fair Isaac Corporation produces software used by many consumer 
reporting agencies, including the three main U.S. consumer agencies, to 
produce FICO scores, which according to industry sources, is a commonly 
used credit score in the United States.