New information reported under HMDA and its application in fair lending enforcement.Most lending institutions with offices in metropolitan statistical areas are required by the Home Mortgage Disclosure Act of 1975 (HMDA HMDA - High Mobility DGM Assemblage HMDA - Hitchhiker Motorized Door Assembly HMDA - Home Mortgage Disclosure Act of 1974) to disclose information to the public about applications for home loans and the home loans that they originate or purchase during each calendar year. The law's requirements arose from concerns that, in some cases, lenders were contributing to the decline of certain neighborhoods by failing to provide adequate home financing to qualified applicants on reasonable terms and conditions. The disclosure of lending activity is intended to help determine whether lenders are adequately serving their communities' housing finance needs, to facilitate enforcement of the nation's fair lending laws, and to guide investment activities in both the public and the private sectors. HMDA is implemented by the Federal Reserve Board's Regulation C. Underlying HMDA's disclosure requirements is a presumption that more publicly available information will improve market performance and help prevent market failures. The data reported under HMDA are certainly extensive: Taken together, the 8,853 lenders covered by the law as of the end of 2004 are estimated to have accounted for about 80 percent of home loans extended that year. The Congress has amended HMDA on several occasions to extend the reach of the law to more lenders and to expand the types of information that must be disclosed. Amendments passed in 1989 have been the most sweeping to date. They require that lenders disclose the disposition of each application they process for home loans and the income, race, ethnicity, and sex of the individuals applying for the loans. As this new information became available, it revealed wide differences in rates of approval of loan applications across racial and ethnic lines and thereby heightened concerns about whether lending decisions complied with the nation's fair lending laws. The disclosures triggered a continuing debate about the proper interpretation of the data and the significance of the differences in lending decisions. Many lending institutions have responded to the concerns raised in the debate by adopting new loan-underwriting procedures to help ensure fair treatment of all applicants and by initiating a wide variety of community outreach and affordable lending programs intended to benefit minority borrowers and lower-income individuals and neighborhoods. In 2002, in its most recent review of Regulation C, the Federal Reserve Board made a number of important changes to the disclosure requirements that substantially increase the types and amount of information made available through HMDA. (1) The revisions are intended to better advance the purposes of the law by keeping the regulation in step with recent developments in home-loan markets and by incorporating the revised standards of classification for the collection of information on race and ethnicity as established by the Office of Management and Budget (OMB). Most of the recent changes in the information that is required to be reported under HMDA apply to data relating to loans extended in 2004. Individual lenders covered by HMDA were required to make their 2004 data available to the public beginning on March 31, 2005. However, only the September 2005 release of the data will have been comprehensively checked by the supervisory agencies for the errors and omissions that are detectable from a review of the data. Perhaps the most important change to Regulation C is the requirement that lenders now disclose pricing (interest rates and fees) for loans with prices above designated thresholds. Loans with prices above the thresholds are referred to here as "higher-priced loans." Other important new information being reported under the revised regulation is whether the loan is a first lien, a junior lien, or unsecured (characteristics referred to here as a loan's lien status), whether it is secured by a manufactured home, and whether it is subject to the protections of the Home Ownership and Equity Protection Act of 1994 (HOEPA HOEPA - Home Ownership and Equity Protection Act). These new pieces of information allow for a better understanding of lending activity in the higher-priced segment of the home-loan market, a segment that was virtually nonexistent a decade or so ago and is now a substantial part of the market. The growth of this market segment, while affording some consumers greater access to credit, has been accompanied by concerns about abusive lending practices, often referred to as "predatory lending." (2) These concerns lend importance to a better understanding of the higher-priced segment of the market and a greater ability to monitor the activities of the individual lenders involved in it. This article presents a first look at the greatly expanded 2004 HMDA data and considers some of their implications for the continuing concerns about fair lending. (3) The analysis highlights some key relationships revealed in an initial review of the types of data that are new for 2004. Some parts of the analysis focus on nationwide statistics, and others examine patterns across groups of lenders, loan products, and various groupings of applicants, borrowers, and neighborhoods. The authors explore, in particular and in some depth, the strengths and limitations of the information on loan pricing. We also describe how the Federal Reserve uses the HMDA data as part of a screening tool to facilitate the enforcement of the fair lending laws. In this regard, we discuss the way the expanded HMDA data, particularly the information on loan pricing, enhance the utility of the screening tool. At the same time, we emphasize that, although these data present valuable new opportunities for researchers and others to learn more about the home-loan market and for the regulatory agencies to improve the enforcement of fair lending laws, the data are not sufficient by themselves for drawing conclusions about the fairness of the lending process or the activities of any individual lender. For example, credit history scores and other factors not included in the HMDA data can be critical in determining loan prices. With regard to this issue, we collaborated with researchers at the Credit Research Center of Georgetown University, which has data on credit history scores and other loan-level factors relevant to loan pricing. The loan-level data were supplied to the Credit Research Center by a small group of lenders that are covered by HMDA and are active originators of loans in the higher-priced segment of the home-loan market. Our examination of the 2004 data also focuses on the newly reported information about loans on manufactured homes. The disposition of applications for loans to buy, refinance, or improve such units has an important influence on the pattern of denial rates of all loans reported under HMDA. We also discuss the new information on HOEPA-related lending and certain requests for pre-approvals of home-purchase loans Purchase loan A consumer loan taken to finance a purchase. and assess
their overall significance in the market. Finally, in the article's
summary and conclusions, we review our key findings and emphasize that
users of the data should exercise particular caution in drawing
conclusions about lending patterns from HMDA data alone.THE REQUIREMENTS OF REGULATION C The Federal Reserve Board's Regulation C, which implements HMDA, applies to most depository institutions (commercial banks, savings institutions, and credit unions--hereafter, "banks") with a home or branch office in a metropolitan area. Banks that are exempt from Regulation C are small (currently those with assets of less than $34 million), or are not in the home-lending business, or have offices exclusively in rural (nonmetropolitan) areas. (4) Regulation C also extends to mortgage and consumer finance companies--hereafter, "mortgage companies"--whether such companies are independent or are subsidiaries of banks or affiliates of bank holding companies. Coverage of mortgage companies applies mainly to those that are active in the home-loan market--that is, those that extend 100 or more home-purchase or home-refinancing loans per year and operate in at least one metropolitan area. (5) The HMDA data include information about applicants and borrowers, the home-loan products they seek, the disposition of their requests for credit, and details about the location of the property that relate to the application. For information about the channels through which the HMDA data are released and for a description of the data that were required of lenders before the 2002 revisions, see box "Distribution of HMDA Data and Pre-2004 Requirements of Regulation C." Distribution of HMDA Data and Pre-2004 Requirements of Regulation C Under the Home Mortgage Disclosure Act (HMDA), lenders use a "loan/application register" (HMDA/LAR) to report information annually to their federal supervisory agencies for each application and loan acted on during the calendar year. Lenders must make their HMDA/LARs available to the public by March 31 following the year to which the data relate, and they must remove the two date-related fields to help preserve applicants' privacy. (1) The Federal Financial Institutions Examination Council (FFIEC), acting on behalf of the federal supervisory agencies, compiles the reported information and prepares an individual disclosure statement for each institution--one for each metropolitan statistical area (MSA) and metropolitan division (MD) in which it has offices--as well as aggregate reports for all covered lenders in each MSA and other reports. (2) The disclosure and aggregate reports are detailed tables of data on individual loans and applications. The disclosure statements and reports are available to the public at the FFIEC website for HMDA (www.ffiec.gov/ hmda), from the covered lenders themselves, and from depositories (such as public libraries and other government offices) in each MSA. (3) In addition, a copy of the HMDA/ LAR for each institution is available to the public on CD-ROM for a nominal charge. The FFIEC also makes available a copy of the file of population characteristics of each census tract covered by the tables on individual institutions and by the aggregate tables. The 2004 census tract file is derived from the 2000 decennial census. MSA and MD identifiers included on that file are based on the designations of MSAs issued by the Office of Management and Budget. (4) Before the most recent revisions, in 2002, the Federal Reserve Board's Regulation C required lenders to report the following information on home-purchase and home-improvement loans and on the refinancing of such loans: For each application or loan * application date and the date an action was taken on the application * action taken on the application --approved and originated --approved but not accepted by the applicant --denied (with the reasons for denial--voluntary for some lenders) --withdrawn by the applicant --file closed for incompleteness * loan amount * income relied on in loan underwriting * loan type --conventional --insured by the Federal Housing Administration --guaranteed by the Veterans Administration --backed by the Farm Service Agency or Rural Housing Service * loan purpose --home purchase --refinance --home improvement * type of purchaser (if the lender subsequently sold the loan) For each applicant or co-applicant * race or ethnicity * sex For each property * location, by state, county, and census tract * type (one- to four-family dwelling or dwelling with five or more units) * occupancy status (owner-occupied or nonowner-occupied) Information is also reported on home loans purchased by an institution during a calendar year. Under the 2002 revisions to Regulation C, additional items became required beginning in 2004. (1.) Lenders must make their date-modified register available to the public for a period of three years. (2.) MSAs that have a single core with a population of 2.5 million or more and meet certain other requirements contain MDs. Of the 370 MSAs in the United States, 11 have a population of at least 2.5 million and have a total of 29 MDs. Starting with the release of the 2004 HMDA data, disclosure reports will follow the guidance provided by the Office of Management and Budget (OMB) regarding the appropriate use of statistical-area definitions; see Office of Management and Budget (2003), OMB Bulletin, no. 03-04 (June), www.whitehouse.gov/omb/bulletins/b03-04.html. In conformance with OMB guidance, the FFIEC will prepare disclosure reports for each MSA and MD. (3.) The FFIEC maintains the most recent three years of HMDA data. Data for earlier years can be obtained from the National Technical Information Center, Springfield, Virginia, www.ntis.gov. (4.) See Office of Management and Budget, OMB Bulletin. The New Reporting Requirements The 2002 revisions to Regulation C are intended to improve the quality, consistency, and utility of the data reported under HMDA; they are also intended to ease regulatory burden, primarily by clarifying and simplifying parts of the regulation. The new requirements * expand coverage to more nondepository lenders * streamline the definitions of refinancing and home-improvement loan * revise the definition of application to include certain requests for pre-approvals (however, in this article, applications are defined as being for a loan on a specific property; they are thus distinct in our analyses from requests for pre-approval, which are unrelated to a specific property) * mandate for the first time the collection of lien status; property code (to distinguish between one- to four-family dwellings that are site-built and those that are manufactured homes); loan pricing; and HOEPA status * incorporate changes to the rules on collecting and reporting information on race and ethnicity to conform to guidance issued by the OMB * require lenders to request the race, ethnicity, and sex of prospective borrowers who apply by mail, Internet, or telephone * revise the categories that identify the type of institution to which loans are sold The disclosure of additional data and the revised definitions for some currently reported items serve several purposes. For example, the revised definition of refinancing is intended to reduce inconsistency in the data and to simplify reporting. (6) Some of the new data items--such as lien status and identification of loans for manufactured homes--allow more-precise differentiation among loan products and consequently reduce the possible analytical biases that arise when dissimilar loan products are grouped together. To ensure that nondepository institutions that are active home lenders are subject to the same reporting regime as are other lenders, coverage rules were changed by adding an annual dollar-volume threshold of $25 million of home-loan originations to the current criterion of 10 percent of total loan originations measured in dollars. Pricing information increases the scope of analysis of HMDA data in support of fair lending enforcement and makes possible an assessment of pricing patterns in the higher-priced segment of the home-loan market. In addition, designation of HOEPA status can be used to identify lenders involved in that type of lending, to measure its incidence in the market, and to aid in fair lending evaluations and HOEPA compliance. Finally, the new information on requests for pre-approvals provides more data on consumers' experiences in the early stages of shopping for a loan to buy a home, a phase of the loan process that has heretofore gone largely unreported, and thus should also facilitate fair lending enforcement. Transition Rules To minimize reporting burden and to help ensure the quality and usefulness of the expanded data, the Federal Reserve established transition rules for HMDA compliance that generally did not require lenders to collect some of the new information for requests for pre-approval and applications submitted before January 1, 2004. Among the new information items affected by the transition rules were the data on pricing; the information on whether an application or loan involved a request for pre-approval and on whether the dwelling involved was a manufactured home; and the classifications of race and ethnicity. Of all applications involving one- to four-family units in the 2004 HMDA data, about 2 million, or 7 percent, were filed before 2004, and thus the data reported on those applications (pertaining to about 1 million loans) might not reflect the new reporting rules. Users of the 2004 data should be aware of this limitation. To help users of the HMDA data better distinguish loans subject to the transition rules, the Federal Financial Institutions Examination Council (FFIEC) has added a data item to the 2004 CD-ROM that contains a copy of the HMDA/LAR for each institution that indicates whether or not an application was filed before January 1, 2004 (see box "Distribution of HMDA Data and Pre-2004 Requirements of Regulation C"). Users of the 2004 data can make assumptions or restrict their analysis in various ways to address problems created by the transition rules. For example, in preparing the institution and aggregate MSA disclosure reports for 2004, the FFIEC excluded applications filed before January 1, 2004, from all tables reporting pricing (but not other) information. The transition rules should have little effect on the data in future HMDA filings. However, because some applications have application filing dates that precede a decision on the application by more than a year, a few applications subject to the transition rules may be included when the 2005 HMDA data are reported in 2006. Lien Status Information on lien status differentiates home loans secured by a first lien, those secured by a junior (second or third) lien, and those not secured. (The last category arises only among home-improvement loans, for which a security interest in a property may or may not be taken.) Knowledge of lien status is basic to credit underwriting because loans secured by first liens have a lower incidence of default than loans secured by junior liens or unsecured loans; consequently, loans secured by a first lien are generally offered at the lowest rates of interest. The information on lien status serves a number of public policy interests. First, the information improves the measurement of the overall size of the home-loan market and particular segments within that market, such as home-purchase lending. Although HMDA data have always included information about the purpose of a loan, recent market developments have made that information less useful for measuring lending. Today, many home purchases involve both first- and junior-lien loans. The junior-lien loan in such transactions is often used to avoid requirements to purchase private mortgage insurance (PMI) or to avoid exceeding the loan-size limits used by some secondary-market purchasers, especially Fannie Mae and Freddie Mac (see the appendix for more information about PMI and the availability of data on loans backed by PMI). In the past, a loan backed by a junior lien could not be distinguished directly in the home-purchase loan data from one backed by a first lien and was therefore often assumed to represent a separate home-purchase loan rather than to be one of two used to purchase a single property. (7) The expanded HMDA data allow such distinctions to be made and consequently help avoid the double counting of loans in the home-purchase market. Second, lien status is essential for interpreting loan-pricing information and in conducting fair lending investigations. Regarding fair lending reviews, the historical lack of information on lien status in the HMDA data has hampered analyses focusing on potential differences in the pattern of the disposition of applications because distinguishing properly among loan products using only HMDA data has been difficult or impossible. (8) Because the use of various loan products and patterns of application disposition can vary across racial and ethnic groups, an inability to distinguish products can lead to spurious correlations and potentially inappropriate conclusions about the fairness of the application of credit-underwriting policies. Manufactured-Home Status Available evidence indicates that the credit profiles of individuals seeking loans backed by manufactured homes differ from those of individuals borrowing for site-built homes. (9) On the whole, loans to purchase manufactured homes involve relatively high credit risk, in part because the buyers of such homes tend to have weaker financial profiles than do those purchasing other single-family properties. This evidence has important implications for denial rates and pricing. Analysis of past HMDA data implied that lenders denied about 60 percent of all applications for conventional home-purchase loans for manufactured homes, whereas they denied only about 12 percent of applications for other conventional home-purchase loans. (10) Until now, the general inability to accurately distinguish manufactured-home loans from loans related to site-built homes complicated the determination of whether differences in denial rates across groups of applicants arose from differences in underwriting practices across the groups or simply from different mixes of loan products sought by the groups. Identification of applications and loans involving manufactured homes in the expanded HMDA data allows for more-refined analysis of the sources of different denial rate patterns and for greater understanding of financing activities in this important market segment. Loan Pricing The home-loan market has evolved in a number of important respects over the past decade or so. Traditionally, lenders offered consumers a relatively limited array of products at prices that varied according to the characteristics of the loan and property but not according to the creditworthiness of the borrower. Effectively, borrowers either did or did not meet the underwriting criteria for a particular product, and those who met the criteria paid about the same price. This market characterization may explain why the congressional revisions to HMDA in 1989 focused on the disclosure of data on the disposition of applications rather than on loan prices. Since then, improvements in information processing and the maturation of a robust secondary market for loans have spurred changes in the home-loan market. Prominent among these changes has been an evolution toward an explicitly risk-based pricing of credit. Now the creditworthiness of individual borrowers can lead to different prices for the same product. Less-creditworthy applicants, or those either unwilling or unable to document their creditworthiness or income, are increasingly less likely to be turned down for a loan; rather, they are offered credit at higher prices. Borrowers in the higher-priced market generally fall into one of two market segments, "near prime" and "subprime," with individuals in the latter category paying the highest prices because they pose the greatest risk of default. In practice, the dividing line between these two "nonprime" markets is becoming increasingly amorphous, as is the line between the prime (lower-price) and nonprime markets. Estimates of the annual volume of subprime lending vary, but all sources agree that this market has grown substantially in recent years. (11) One industry source estimates that over the period 1994-2004, the annual dollar volume of subprime home loans increased from about $35 billion to more than $530 billion. Consequently, subprime lending is no longer a minor segment of the market. Subprime loans are estimated to have accounted for about 19 percent of all home-loan originations in 2004, up from less than 5 percent in 1994. (12) As significant pricing variability has emerged in the market, so have concerns about the fairness of creditor decisions in this regard. Little information has been available to assess the merits of these concerns, and only a few fair lending investigations focusing on pricing issues have been pursued by the federal banking agencies or the Department of Justice. In its review of Regulation C that led to the 2002 revisions, the Federal Reserve Board averred the importance of gathering information to facilitate assessments of the fairness of loan-pricing decisions, particularly for nondepository institutions, which are less likely to be subject to periodic fair lending examinations. Recognizing the costs incurred by lenders to comply with such a reporting and disclosure requirement, the Board limited the scope of the regulation to the disclosure of pricing on loan originations (not loans purchased from other entities or applications that did not result in a loan origination) in the higher-priced segment of the loan market and to focus within that segment only on dwelling-secured loans subject to Regulation Z (which does not cover "business purpose" loans--including some loans to individuals who do not intend to occupy the dwelling being financed). (13) Specifically, the 2002 revisions to Regulation C require the reporting of the spread between the annual percentage rate (APR) on a loan and the rate on Treasury securities of comparable maturity for loans with spreads above designated thresholds. The APR was selected as the measure of the loan's pricing because it was regarded as the best single measure of the "true" cost of a loan. The thresholds for reporting differ by lien status: 3 percentage points for first liens and 5 percentage points for junior liens. To calculate the rate spread, the lender uses the yield on Treasury securities as of the fifteenth day of a given month depending on when the interest rate was set on the loan. (14) In establishing this disclosure rule, the Federal Reserve sought to select thresholds that would exclude the vast majority of prime rate loans and include the vast majority of subprime loans. The selection of specific thresholds was based on loanprice data from several sources. (15) The analysis revealed that roughly 98 percent of prime first-lien loans have APRs that would likely fall below the threshold of 3 percentage points for reporting first liens. (16) The analysis also indicated that this threshold would require reporting for about 98 percent of the subprime loans backed by first liens and that the 5 percentage point threshold would capture about 95 percent of the subprime loans backed by junior liens. Overall, data from the Annual Housing Survey covering prime, near-prime, and subprime loans suggested that, in a typical year, the thresholds would fall somewhere in the near-prime range and would require the reporting of about 10 percent of all home loans backed by first liens and about 22 percent of all loans backed by junior liens. In a given year, various factors may influence the proportion of loans that have prices placing them above or below the pricing thresholds. A change in interest rates can influence the volume and types of loans that exceed the pricing thresholds. With generally rising interest rates, for example, refinancing activity will be reduced, and consequently a larger proportion of loans reported above the thresholds will involve home purchases. Moreover, borrowers who refinance during a period of rising interest rates are likely to differ from those who borrow when rates are falling. When rates are rising, borrowers seeking to refinance their outstanding loans are likely to have more-urgent needs for additional funds that can be raised by a cash-out refinancing or are seeking to lower their total monthly payment obligations by lengthening the terms of their outstanding debt. Changing interest rates also may affect the proportion of adjustable-rate versus fixed-rate loans originated over the course of a year and thus the mix of loans reported with rates above the threshold. To compensate borrowers for bearing the additional interest rate risk associated with adjustable-rate loans, such loans typically have lower initial APRs than do fixed-rate loans with the same term to maturity. If market participants expect interest rates to rise, these expectations tend to be built into the term structure of interest rates (the "yield curve") and to widen the difference between the initial rates on adjustable-rate and fixed-rate loans. This widening can increase the proportion of fixed-rate loans with APRs above the threshold because the APRs for longer-term adjustable-rate loans will not rise as much in such a market as will those for fixed-rate longer-term loans. HOEPA Status Long-standing concerns about predatory lending led the Congress to enact the Home Ownership and Equity Protection Act of 1994, the first federal statute to explicitly target such lending practices. HOEPA, which amends the Truth in Lending Act, applies to closed-end home loans (excluding home-purchase loans) bearing an APR or dollar-amount fees above specified thresholds. (17) The act imposes restrictions on certain loan features, including balloon payments and prepayment penalties, and requires improved disclosures for consumers. HOEPA, like most other federal consumer protection statutes, overrides weaker state laws but permits states to enact stricter rules. The Federal Reserve Board, which has authority to modify some of the requirements of HOEPA (implemented by the Board's Regulation Z), made such a modification in 2001. The 2001 revisions to the regulation lowered the APR trigger for coverage of first-lien loans from 10 percentage points above the comparable-maturity Treasury security to 8 percentage points (the threshold for junior liens was left at 10 percentage points), adjusted the calculation of the dollar-amount trigger for fees to include amounts paid at closing for optional credit insurance products, prohibited or restricted certain practices, and required improved disclosures. (18) Although these amendments addressed some concerns, predatory lending continues to some degree. Since 1999, about thirty states and numerous local governments have enacted laws regarding predatory lending to address certain practices and contract terms. The Congress has also considered amendments to HOEPA to broaden its scope and to preempt state laws, but to date, no final action has been taken. In its 2002 amendments to Regulation C (the HMDA regulation), the Board required lenders to report whether a loan is subject to HOEPA. In so doing, the Board recognized that obtaining information on the volume and pattern of lending covered under HOEPA would be useful for a better understanding of the size of the HOEPA-related segment of the market and would allow regulators to focus examinations on the loans and creditors posing the greatest concern. The HOEPA status of loans at banks could always be obtained through on-site examinations; but nondepository lenders are not subject to regular examinations, and thus the extent of their HOEPA-related lending has been largely unknown. Moreover, although banks are examined regularly, the collection of data on HOEPA status on the HMDA/LAR is a much more efficient way for the enforcement agencies to obtain the data and allows for some types of analysis to precede an on-site compliance examination. Requests for Pre-Approvals Prospective homebuyers are often asked by sellers to demonstrate that they are likely to qualify for financing. In recent years, many lending institutions have developed pre-approval programs to respond to that request. Such programs typically provide qualified prospective homebuyers with a binding written commitment to finance their purchase, subject to certain conditions related primarily to the property to be purchased and any changes in their financial circumstances. The request for a pre-approval does not generally identify a specific property so that, if granted, it can be used by the prospective buyer with more than one prospective seller. In the past, the HMDA records did not include data on requests for pre-approvals unless they ultimately resulted in an application related to a specific property. Under the expanded reporting requirements, lenders must also report requests for pre-approval that were denied. Disclosure of denials of pre-approval requests is intended to provide more-complete information on the availability of home financing and to facilitate fair lending enforcement. Lenders have the option of reporting pre-approvals that were granted but not acted on by the consumer. (19) Changes in the Collection of Data Regarding Race and Ethnicity The 2004 HMDA data incorporate the revised standards of classification for government collection of information on race and ethnicity as established by the OMB. (20) Perhaps the most important OMB revision allows individuals to select multiple racial and ethnic identifications, and HMDA reporting rules were modified to conform to these changes. For HMDA data collected before 2004, applicants for credit had no opportunity to designate both race and ethnicity but had to categorize themselves as being of Hispanic origin or as being in one of five racial categories (American Indian or Alaskan Native, Asian or Pacific Islander, black, white, or other). As of 2004, applicants may designate more than one racial category (American Indian or Alaska Native, Asian, black or African American, Native Hawaiian or other Pacific Islander, or white) and may designate one of two ethnicities (either "Hispanic or Latino" or "not Hispanic or Latino"). (Hereafter, for concision, we refer to the category "black or African American" as black and to the category "Hispanic or Latino" as Hispanic.) The changes regarding race and ethnicity will make it difficult to align the HMDA data for 2004 with those for earlier years. Most important, applicants who in 2003 were classified as Hispanic were not also classified by their race. Consequently, a comparison of lending activity by race between 2004 and earlier years might lead some to conclude that lending to certain racial groups may have changed when, in fact, the only change was in the classification system. Changes in the Data-Collection Requirements for Sales in the Secondary Market The secondary market for home loans is the arena in which loans already originated are bought and sold. HMDA requires that, for a given year, covered institutions report the sales of loans that they originated in that year as well the sales of loans that they purchased in that year. For each sale, the institution must also report the type of purchaser. HMDA data have long been one of the few sources of loan-level information describing secondary-market activities. The 2004 data are reported using codes that represent revised categories for identifying the secondary-market purchasers. For the first time, the HMDA data identify loans placed in private securitizations, which represent a growing segment of the secondary market. The revisions in the reporting categories are intended to improve the utility of the data. SUMMARY OF RESULTS FROM THE 2004 HMDA DATA For 2004, the FFIEC prepared disclosure statements for 8,853 HMDA-reporting lenders--3,946 commercial banks, 1,017 savings institutions, 2,030 credit unions, and 1,860 mortgage companies. Of the mortgage companies, most (1,464) were independent entities--that is, institutions that were neither subsidiaries of banks nor affiliates of bank holding companies (table 1). The disclosure statements consisted of 72,246 distinct reports, each covering the lending activity of a particular institution in each metropolitan statistical area (MSA) in which it had a home or branch office (table 2). The number of reporting institutions was up 9 percent from 2003, in part because OMB's revision of MSA boundaries added, on net, 242 previously rural counties to MSAs. (21) The number of lenders covered by HMDA is large; however, most of these institutions, whether measured by number of reported applications or loans or by asset size, are small. For 2004, 60 percent of reporting institutions provided information on fewer than 250 loans or applications, accounting for 1.7 percent of the reported data (table 3). Sixty-three percent of the reporting banks had assets of less than $250 million, and they accounted for only 2.2 percent of the applications and loans in the 2004 HMDA data. (22) At the other end of the spectrum, the twenty-five lenders reporting the largest number of applications accounted for about 42 percent of all the applications reported in the 2004 data (data not shown in table). If HMDA reporters are further aggregated to their highest level of corporate organization (such as a bank holding company), lending is even more concentrated. The twenty-five largest organizations reporting the largest number of applications accounted for 55 percent of the applications in the 2004 data (data not shown in table). Volume of Applications and Loans For 2004, lenders covered by HMDA reported on roughly 28.1 million home-loan applications (table 2)--9.8 million for purchasing one- to four-family homes, 16.1 million for refinancing existing home loans, 2.2 million for improving one- to four-family dwellings, and 62,000 related to multifamily dwellings (structures for five or more families). Lenders also reported on about 5.1 million loans they purchased from other institutions. In addition, lenders reported on roughly 330,000 requests for pre-approvals of home-purchase loans that were either turned down by the lender at the time the pre-approval was sought or granted but not acted on by the applicant (data not shown in table). In either case, those 330,000 requests for pre-approval did not reach the stage of an application for a loan for a specific property. (23) The 2004 volume of applications for refinancing fell about one-third from 2003, primarily because of a rise in interest rates. Conventional and Government-Backed Loans Among the reported applications for loans to purchase owner-occupied one- to four-family homes (both site-built and manufactured), about 90 percent were for conventional loans--that is, loans not involving a government backing for the lender--most of which involve first liens; the remainder were for government-backed forms of credit, mostly involving the Federal Housing Administration (FHA) (table 4). An even higher share of applications for refinancings (and home-improvement loans) were for conventional loans, an indication that borrowers with government-backed loans either tend to refinance into a conventional loan or tend not to refinance. The share of HMDA-reported loans backed by the FHA has been declining over the past several years, from about 16 percent in 2000 to about 8 percent in 2004 (data not shown in tables). New, more flexibly underwritten conventional loan products are likely attracting borrowers that would otherwise seek FHA backing. Among these products are interest-only loans, adjustable-rate products that offer flexible payment options, and products that allow smaller down payments, a wider range of credit histories, and reduced documentation of incomes. Lien Status The 2004 data, which include for the first time information on the lien status of a loan, indicate that a significant minority of reported loans involve junior liens, particularly loans for home purchases. Among the loans to purchase owner-occupied homes, 13 percent involved junior (subordinate) liens (data not shown in tables). (24) Homebuyers have various reasons for taking out subordinate loans when they purchase their homes. Some are seeking to raise funds to cover the down payments and closing costs of the first-lien loans used to buy their homes. In some cases, funds raised through the subordinate liens allow homebuyers to avoid the requirement to purchase PMI for first-lien loans with high loan-to-value ratios. In other cases, borrowers take out junior-lien loans to keep the amounts borrowed on their first-lien loans within the loan-size limits used by Fannie Mae and Freddie Mac (discussed below). Owner Occupancy Some commentators have attributed part of the strength in housing markets for the past several years to a growing number and share of home sales to investors or individuals purchasing second homes as distinct from those who intend to reside in the units being purchased. HMDA reports help document the role of investors in the housing market because the data indicate whether the property to which an application or loan relates is intended as the borrower's principal dwelling (that is, as an owner-occupied unit). (25) The HMDA data indicate that the share of reported lending for nonowner-occupied purposes remained steady from 1990 through 1995, primarily in the 4.5 percent to 5.5 percent range (whether measured in number of loans or dollar amount of loans), and then began rising. In 2004, the nonowner-occupied share of the home-purchase market in terms of number of loans was about 15 percent and in terms of dollar amount was roughly 13 percent (data not shown in tables). Lender Specialization Different types of lending institutions tend to specialize in different types of home loans. Mortgage companies, which extended 54 percent of all the home loans reported in 2004, accounted for roughly 67 percent of government-backed originations. Depository institutions extended 71 percent of reported home-improvement loans and about 89 percent of multifamily loans. Commercial banks and mortgage companies together accounted for about 90 percent of loans on manufactured homes in 2004. Secondary-Market Activity HMDA data document the importance of the secondary market for home loans. Of the 20.2 million home loans originated or purchased in 2004 by lenders covered by HMDA, 14.1 million, or roughly 70 percent, were sold in 2004 (data not shown in tables). (26) Prominent in the secondary market are government-sponsored enterprises (GSEs)--in particular, Fannie Mae and Freddie Mac. (27) For the most part, the purchases of Fannie Mae and Freddie Mac in 2004 consisted of conventional loans originated to purchase homes or to refinance existing loans. These two institutions accounted for nearly 35 percent of the loans purchased by secondary-market institutions. Other types of purchasing institutions active in the secondary market include banks (8 percent of loans sold), private securitization pools (5 percent), and mortgage and insurance companies (9 percent). In some cases, the purchasing institution is affiliated with the originating lender--directly, as a subsidiary, or indirectly, as an affiliate of the holding company that owns the lender. Affiliated institutions accounted for 11 percent of loans sold in the secondary market. Loans for Manufactured Homes In the past, users of HMDA data had no certain way to identify which applications and loans involved manufactured homes. To help overcome this limitation, the Department of Housing and Urban Development (HUD) produced annually a list of reporting institutions (typically about twenty) that it believed were primarily in the business of extending such credit. (28) Users of the HMDA data often relied on the HUD list to identify, albeit imperfectly, loans and applications related to manufactured homes. This practice had its own limitations--it could not be used to identify applications and loans related to manufactured homes reported by lenders not on the HUD list, and users often assumed that all loans by the lenders on the list were for manufactured homes when some were not. The expanded HMDA data resolve this problem by explicitly including a code to identify applications and loans for manufactured homes. For background information on manufactured homes, see box "Manufactured Homes in the U.S. Housing Market."
Manufactured Homes in
the U.S. Housing Market
More than 23 million individuals, or roughly 8 percent of
the U.S. population, live in manufactured housing. Typically,
about 10 percent to 20 percent of all construction
starts for single-family housing each year are for manufactured
homes. Most manufactured homes are assembled
in factories, shipped to a home site, and never moved
once installed. Nearly 80 percent of all the manufactured
homes are owner occupied, a rate more than 10 percentage
points higher than that for site-built homes.
Manufactured housing is a significant source of affordable
housing. The average new unit cost about $55,000
in 2003, although prices varied, averaging about $32,000
for single-section homes and nearly $60,000 for multisection
("double wide") units (excluding land costs).
Because the price of a manufactured home is generally
lower per square foot than that of a site-built home, the
manufactured home is particularly attractive to households
with lower incomes. The average annual income of
households owning manufactured homes is less than half
that of those owning site-built homes and about the same
as that of households that rent their homes.
Loans for manufactured homes entail more credit risk than do most other forms of credit extended to consumers. (29) For example, the proportion of loans for manufactured homes that are thirty days or more past due is far higher than for most other consumer credit products and is about twice the rate for conventional loans secured by one- to four-family homes. (30) In part, the elevated credit risk arises from more uncertainty about whether the collateral backing the loan will retain its original value. Much of the credit risk arises from the poorer credit history profiles of the typical borrowers in the manufactured-home loan market compared with those in the site-built homeloan market. An individual's credit history score (a statistical characterization of an individual's creditworthiness based exclusively on information in a credit record maintained by a credit-reporting agency) is a common metric of credit risk. (31) Among individuals who have manufactured-home loans (whether home loans or, as is the case for most manufactured homes, personal-property loans), the average credit history score as of June 30, 2003, was 666, a score nearly 70 points lower than the average among individuals with loans secured by one- to four-family site-built homes. Moreover, nearly 25 percent of the individuals with loans secured by manufactured homes had credit history scores below 600, a threshold that is often associated with high-risk lending, compared with only about 5 percent of the individuals with loans backed by site-built units. Lenders recognize the elevated risks related to loans backed by manufactured homes and factor these risks into the interest rates they charge borrowers. (32) Lender caution is also reflected in the very high denial rates on applications for loans backed by manufactured homes. The 2004 HMDA Data on Manufactured Housing The 2004 HMDA data indicate that, on the basis of applications that lenders received after January 1, 2004, nearly 4,400 lenders extended more than 242,000 manufactured-home loans. (33) About 57 percent of these loans were for home purchases; most of the rest were for refinancing an earlier loan (data derived from table 5). Commercial banks, the largest source of loans on manufactured homes, extended 46 percent of the total number; mortgage companies extended 44 percent. The data indicate further that manufactured-home lending is a relatively concentrated business. The ten lenders that extended the largest number of manufactured-home loans in 2004 accounted for one-third of all such loans that year, and the top twenty such lenders accounted for 42 percent (data not shown in tables). Likewise, 60 percent of the lenders that extended manufactured-home loans in 2004 extended ten or fewer such loans. The 2004 data indicate that thirty-five lenders could reasonably be considered to have specialized in manufactured-home lending that year (see box "The HUD List of Specialists in Manufactured-Home Lending and the 2004 HMDA Data"). The HUD List of Specialists in Manufactured-Home Lending and the 2004 HMDA Data Before 2004, HMDA reporters were not required to identify which of their applications and loans involved manufactured homes, and identifying all of the lenders offering such credit was impossible. For 2003, HUD's list of manufactured-home loan specialists who are also HMDA reporters identified 19 such lenders. Only 13 of the 19 lenders that reported 2003 HMDA data provided 2004 HMDA data under the same name and identification number. These 13 lenders accounted for 15 percent of all the manufactured-home loans reported in the 2004 data. Among the 6 manufactured-home lenders on the 2003 HUD list that did not report in 2004 under the same name or identification number, 2 reported under different names and identification numbers. These 2 lenders reported information on only about 950 loans related to manufactured homes (about 0.4 percent of the total). Of the 15 manufactured-home loan specialists on the HUD list that reported data for 2004, only 11 were in fact primarily involved in extending loans on manufactured homes. For 35 lenders that supplied 2004 data (including the 11 on the 2003 HUD list), lending for manufactured homes constituted at least 80 percent of their reported lending activity, and so they may reasonably warrant consideration as specialists in manufactured-home lending. Among the rest of the approximately 4,400 reporting lenders that had extended at least one manufactured-home loan in 2004, about 500 indicated that the proportion of their originations related to manufactured homes was at least 20 percent but less than 80 percent, and the remaining 3,900 indicated that the proportion was less than 20 percent. For a number of the largest lenders that extended manufactured-home loans (measured by the number of such loans), that business segment was only a very small portion of their lending activity, according to the 2004 data. In fact, among the twenty-five firms that extended the largest number of manufactured-home loans, only three could be characterized as focused primarily on that business segment. For virtually all the rest, manufactured-home lending amounted to 5 percent or less of their total lending activity. Of those obtaining loans to purchase manufactured homes, 41 percent were of lower income, whereas of those borrowing to purchase site-built homes, about 24 percent had lower incomes (table 6). (34) On average, minority borrowers have lower incomes than do non-Hispanic white borrowers, but only about 18 percent of manufactured-home purchasers were members of a racial or ethnic minority group, whereas about 30 percent of purchasers of site-built homes were minorities (data derived from table 6). (35) Requests for Pre-Approval The 2004 data for the first time include information on certain types of requests for pre-approval of home-purchase loans. Since pre-approval programs pertain only to requests for loans to purchase a home, the HMDA data do not include pre-approval information for applications involving a refinancing or home-improvement loan. Although all requests for pre-approval that are turned down must be reported, lenders have the option of reporting requests for pre-approval that were approved but not acted on by the consumer. Because many lenders apparently chose not to report any optionally reportable requests for pre-approval, the new data do not account completely for pre-approval activity. Nonetheless, the new reporting scheme is sufficiently comprehensive to identify which individuals were denied at the pre-approval stage and which successful borrowers initiated the borrowing process through a pre-approval program. Nearly half of all lenders reported some pre-approval activity, although the volume of such activity varied greatly across lenders. (36) The five lenders that reported the greatest number of requests for pre-approval accounted for one-third of all such requests. Some differences in the propensity to offer pre-approval programs were found by type of institution; more than half of the reporting credit unions, savings institutions, and mortgage companies reported requests for pre-approval, but only about one-third of the commercial banks reported such information. Although requests for pre-approval are far fewer in number than home-purchase loan applications that do not begin through this channel, they are not rare events. The 2004 data include information about 1 million requests for pre-approval for first-lien loans to buy homes and about 100,000 for junior liens. Of those institutions with pre-approval programs, 82 percent did not report any pre-approval requests that were approved but not acted on by the consumer, an indication that these institutions chose not to report all their requests for pre-approval. DENIALS AND PRICING IN THE 2004 DATA A central element of the 1989 revisions to HMDA was the collection of loan-level data on the disposition of home-loan applications, and the 2002 revisions to Regulation C expanded this concept to include loan-level information on pricing. This section summarizes the aggregate outcomes on both points. Because the transition rules regarding the reporting of data create problems for assessing some of the 2004 data regarding loan pricing, as they do for manufactured homes and pre-approvals, the analysis that follows excludes "transition" applications--those submitted before January 1, 2004 (data on these applications are shown as memo items in tables 7 and 8). Otherwise, information is given on all applications reported under HMDA. For presentation, applications were grouped into twenty-five product categories based on loan and property type, purpose of the loan, and lien and owner-occupancy status. (37) For each product category, information is provided on the number of total and pre-approval applications, application denials, originated loans, loans with prices above the thresholds, loans covered by HOEPA, and the mean and median spreads for loans priced above certain thresholds. Denial Rates For the past fifteen years or so, the HMDA data have been the primary source of publicly available data on the disposition of applications for home loans. The expanded HMDA data for 2004 provide new opportunities to assess patterns in the disposition of applications at different stages of the lending process and across product lines and applicant groups. Denial Rates across Products The incidence of denials differs substantially across loan products. Lenders deny only about 15 percent of the applications for home-purchase loans on one- to four-family site-built homes, whether the loans are secured as a first lien or a junior lien and whether they are conventional or government backed (table 7). In contrast, about 30 percent to 36 percent of refinancings and home-improvement loan applications involving first liens are denied, as are about 50 percent of the applications for manufactured homes. The main exception to this pattern is applications for government-backed first-lien loans for refinancings, which have a denial rate similar to that of home-purchase loans. Of particular importance are the disposition patterns for applications for manufactured homes. As noted, past HMDA data did not distinguish applications for manufactured homes from those for site-built properties. Analysis of the HUD list of manufactured-home loan specialists suggested that such lenders had very high denial rates, and that for lenders offering both manufactured-home loans and other home loans a distorted picture of their propensity to deny credit could easily be drawn. The 2004 data confirm the importance of distinguishing applications for manufactured homes from those for site-built properties. For example, adding the applications for conventional home-purchase first liens for manufactured homes to those for one- to four-family site-built homes would increase the number of total lender actions on applications only 7 percent but the number of denials more than 25 percent. The denial rate for the category "conventional home-purchase first liens" would increase from 14.9 percent to 17 percent (data derived from table). Although this change might not appear large in the aggregate, for some lenders it could create a major distortion. Denials of Requests for Pre-Approval Denial rates for applications that begin with requests for pre-approval can be computed in different ways, especially since lenders need not report approved requests for pre-approval not acted on by the borrowers. One way to assess the disposition of applications received through the pre-approval process is to compute denial rates for requests for pre-approval separately from the denial rates for subsequent applications related to a specific property. Another way of assessing denial rates is to combine the two stages (pre-approval requests and subsequent applications for a specific property) and to treat a denial at either stage as a denial. The denial rates for pre-approval requests (column 3 of table 8) are similar to the denial rates for all applications for home loans on specific properties (column 4 of table 7). Not surprisingly, the denial rates on applications for a specific property that began as requests for pre-approval (derived from columns 5 and 6 of table 8) are lower than the denial rates on pre-approval requests and on applications for a specific property that did not come through the pre-approval process. But although they are relatively low, the denial rates for pre-approved borrowers are not zero: More than 8 percent of pre-approved applicants for conventional first-lien home-purchase loans are turned down when they apply for a loan on a specific property. If we view requests for pre-approval and applications for loans to purchase a specific property as elements of a single process, the data suggest that the overall denial rates for applicants for home loans on specific properties who came through the pre-approval process are about the same as for applicants who did not first request a pre-approval. Seventeen percent of the applicants for conventional first-lien home-purchase loans who came through the pre-approval process were denied versus 15 percent of those who did not first request a pre-approval (data derived from tables 7 and 8). However, origination rates for the two groups were very different. Only 49 percent of the applicants for conventional first-lien home-purchase loans who began the process with a request for a pre-approval ended up with a loan, compared with 67 percent of other applicants. This difference appears to stem not from lender actions but from markedly different rates of withdrawal from the process by applicants. Thirty-four percent of applications for conventional first-lien home-purchase loans that started at the pre-approval stage are withdrawn by the applicant at some point (or not acted on by the lender). The withdrawal rate for other applications is much lower (19 percent). Reported Reasons for Denial The HMDA data include information from lenders on why they turned down an application. Lenders generally provide the information voluntarily; however, two federal bank supervisory agencies, the Office of Thrift Supervision and the Office of the Comptroller of the Currency, require the institutions they supervise to report this information. (38) Institutions are allowed to cite up to three reasons (from a list of nine) that an application was turned down. Overall, one or more reasons for denial were provided for about 81 percent of the denials across all loan products and for about 75 percent of the denials for home-purchase loans (data not shown in tables). Poor or no credit history was the most frequently cited reason for denying applications: Credit-related issues were cited in about 26 percent of the denials of applications for conventional first-lien loans to purchase one- to four-family site-built homes and in about 52 percent of the denials of applications for such loans to purchase manufactured homes. Other reasons often cited for credit denials involved excessive debt-to-income ratios, issues related to collateral, and unverifiable or incomplete information on applications; a catch-all category in the HMDA data labeled "other" was also frequently cited. Loan Pricing Because of the transition rules, some unknown proportion of higher-priced loans was reported in the same way as loans that did not meet the threshold requirements. (39) The inability to identify higher-priced loans that were originated in 2004 but had application dates preceding that year means that users of the data need to take special account of these applications when conducting analyses. Reasons for Loan-Price Variation The HMDA data on loans in the higher-priced segment of the home-loan market do not include much of the information that might explain variations in the prices of reported loans. Among the factors reflected in loan pricing are the cost of the funds to be lent, credit risk, prepayment risk, overhead expenses, loan-servicing costs, the negotiating abilities and inclinations of the creditor and borrower, the possibility of discriminatory pricing, and variations in the channels through which a loan application at a given lender may be processed (see box "Reasons for Loan Price Variation"). Reasons for Loan Price Variation As in credit underwriting, loan pricing reflects a wide variety of factors. Cost of funds. The cost of funds is the largest element in the overall cost of extending prime-market home loans and a significant factor for loans in the higher-priced segment of the market. Funding costs vary with the expected duration of the debt and the creditworthiness of the borrower. Also, many creditors originate loans for subsequent sale in the secondary market; consequently, the prices offered by secondary-market participants for home loans bear heavily on the pricing decisions for such loans. Credit risk. Credit risk is the probability that a loan will go into default. Loans that involve greater credit risk carry higher prices. On average, loans in the prime market entail substantially lower credit risk than do those in the subprime market. (1) Interest rates on loans increase with the rate of serious delinquency, even for subprime loans, an indication that loans that pose greater credit risk carry higher rates of interest (chart A). [GRAPHIC OMITTED] Credit risk is a function of the creditworthiness of the borrower, the equity in the home securing the loan, and the likelihood that proceeds of a foreclosure sale of the home will satisfy the obligation if default occurs. In general, the creditworthiness of borrowers is related to their income and employment prospects; available assets if financial problems arise; claims on their income from servicing other debts; and credit history, which, in part, reflects their willingness and ability to repay credit. As noted, in underwriting loans, credit history is often summarized and measured by a credit history score. Equity in a home is measured at the time of loan origination by a loan-to-value ratio (LTV). The importance of credit history in loan pricing is illustrated by the fact that interest rates are higher for loans with lower credit history scores (chart B). For the most part, borrowers in the prime segment of the market have credit history scores that indicate they pose relatively little credit risk. Borrowers in the higher-priced segment of the market typically have weaker credit history profiles for one or more of several reasons: previous failures to make loan payments as scheduled, collection agency actions, bankruptcy or adverse court judgments, or little or no previous experience with credit. [GRAPHIC OMITTED] Prepayment risk. Prepayment risk measures the possibility that a loan will be repaid before the end of the loan term. Most early payoffs of home loans are attributable either to the sale of the home or the refinancing of the loan, typically when rates have fallen sufficiently from the rate on the existing loan. Because a prepayment results in payment of the principal ahead of schedule, the lender (or secondary-market investor) must reinvest the funds at the new market rate, which may be lower than the old rate, particularly in the case of a refinancing. Although the possibility of prepayment is well understood, estimating when it will happen is quite difficult. For this reason, lenders compensate for the risk either by including prepayment penalties in their loan contracts or by pricing the risk in their calculation of the interest rate on the loan. The first of these options, the prepayment penalty, is rare in the prime segment of the market but is more common in the subprime segment. Borrowers in the higher-priced segment of the home-loan market have higher prepayment rates than others because many of them improve their credit profiles over time as they make regular payments, and this improvement in turn allows them to qualify for a lower-rate loan. Our review of depersonalized credit record information from one of the three national credit-reporting agencies indicates that, as of June 30, 2003, almost one-fourth of those with outstanding home-loan debt and with credit history scores between 580 and 620 (a credit score range associated with individuals with subprime credit quality) increased their credit scores 40 points or more over the ensuing eighteen-month period. A change in credit score of this magnitude would typically be sufficient to move their credit risk profiles into the near-prime or prime segment of the market. (2) The effect of even a small improvement in the credit history score is much larger for borrowers in the higher-priced segment of the home-loan market than for those in the prime segment. For a higher-priced loan, a small improvement in the borrower's credit history score may translate into a substantial reduction in interest rates and may encourage prepayment (chart B). (3) Because pricing in the prime segment varies little by credit score, borrowers in the prime market are less likely to obtain a lower-priced loan if their credit scores improve. Another factor that may result in elevated rates of prepayment in the higher-priced portion of the market is the practice referred to as "loan flipping." Flipping is inducing a borrower to refinance a loan repeatedly--even though the refinancing may not be in the borrower's interest--and charging high fees with each refinancing. Overhead expenses. Overhead expenses represent a fairly small component of the cost of lending for most home loans. However, borrowers who have experienced payment problems in the past, or who have little or no credit history, or who are unable or unwilling to document their employment histories or income are likely to require more time to underwrite. The higher cost of underwriting may be passed on to such borrowers and can result in prices that place their loans in the higher-priced segment of the market. Marketing and other expenses incurred to identify market opportunities and solicit customers may also differ across segments of the home-loan market. Servicing costs. Servicing costs are expenses incurred to process and distribute loan payments, monitor accounts, and deal with borrowers who fall behind in their payments. Servicing costs can be particularly high if the loan involves a foreclosure--that is, a forced sale. Because the higher-priced segment of the market has high rates of serious delinquency, servicing costs are higher than in the prime market. And because higher-priced loans tend to be smaller than prime loans, the costs of servicing and the costs of extra underwriting efforts (noted earlier) must be spread over a smaller dollar volume of loans. Borrowing a relatively small amount increases the possibility that elevated costs will lead to a higher-priced loan because any given amount of fixed costs passed on to the borrower increases the APR more on a smaller loan than on a larger loan. Hence, these costs have a larger effect on loan prices in the higher-priced segment of the market than in the prime segment. In general, the cost and risk-related factors noted earlier may be measured in an objective way and are demonstrably related to the costs, and hence the prices established, for credit. Two additional, and related, pricing factors are not necessarily objective and, moreover, are more likely than others to raise fair lending concerns: discretionary pricing by loan officers and price negotiations between creditor and applicant. Discretionary pricing. Many creditors provide their loan officers and agents working on their behalf (for example, mortgage brokers) with rate sheets that indicate the creditors' minimum prices by product (for example, for conventional loans of various types or with various types of government backing), loan characteristics (for example, term to maturity and LTV ratio), and borrower creditworthiness (for example, credit history score and debt-to-income ratio). In some cases, loan officers and brokers are allowed to deviate from these prices as market conditions warrant or allow. A loan officer may quote a prospective borrower a price above the rate sheet (sometimes referred to as an "overage"), and if the consumer accepts the price without demanding cash back to offset loan fees or other closing costs, the contract interest rate or loan fees on such "overaged loans" will be higher than they might otherwise have been. Discretionary pricing can be a legitimate business practice and can help ensure that markets allocate resources in the most efficient way. However, when loan officers are permitted latitude in establishing prices, the lender runs the risk that differential treatment on a basis prohibited by law may arise. Obtaining overages more often, or in higher amounts, from minority borrowers or targeting only minorities for overaging may constitute a fair lending violation unless some legitimate, nondiscriminatory reason exists for the result. Price negotiations. Price variation can also arise because less sophisticated or less knowledgeable borrowers are not as likely to shop for credit or to realize that they may negotiate with the lender over the interest rate and fees. Moreover, lower-income borrowers may be disproportionately represented in the category of less sophisticated borrowers. Given that minority borrowers have disproportionately lower incomes, there is some likelihood that they will be overrepresented among borrowers with overaged loans. Such results may be interpreted by some as demonstrating unlawful discriminatory pricing by lenders. Differences in the extent to which borrowers negotiate or shop for the best deal may result in a pattern of overage loans that is not illegal but that nonetheless may be difficult for a lender to document and explain. Moreover, instances of different negotiating strengths among borrowers can be difficult to distinguish from illegal discriminatory treatment in which loan officers quote loan rates or provide information or assistance that varies according to the race, ethnicity, sex, or other prohibited characteristic of the borrower. Variations in loan-processing channels. The delivery channels through which borrowers obtain loans vary widely across lenders. On the one hand, underwriting and pricing may be centrally controlled even though the application may begin on the Internet or with a mailed solicitation or at a bank branch. On the other hand, in complex financial organizations with bank branches, multiple affiliates, decentralized loan production offices, indirect brokerage operations, and nonbank subsidiaries, each application may be subject to a different underwriting and pricing regime depending on its point of initiation. The 2004 HMDA pricing data suggest that the delivery channel through which a borrower obtains a loan may matter. As discussed elsewhere in this article (see section "Incidence of Higher-Priced Lending for Selected Subgroups"), the incidence of higher-priced lending is higher for borrowers who live outside the assessment areas of lenders covered by the Community Reinvestment Act of 1977 (CRA) than for those who live inside these areas. (4) This difference may be due to a reliance on different delivery channels for loans within and outside these lenders' assessment areas. (1.) See Amy Crews Cutts and Robert Van Order (2004), "On the Economics of Subprime Lending," Freddie Mac Working Paper 04-01 (Washington: Freddie Mac, January), www.freddiemac.com/corporate/reports. (2.) The three national credit-reporting agencies are Equifax (www.equifax.com), Experian (www.experian.com), and Trans Union Corporation (www.transunion.com). (3.) Of course, prepayment penalties may deter prepayment among some borrowers in the higher-priced segment of the market even when their credit scores improve. (4.) The assessment areas of lenders covered by the CRA include principally the locales in which a lender has its main or branch offices and its deposit-taking automated teller machines. For a more complete definition of CRA assessment areas, see the Federal Reserve Board's Regulation BB, section 228.41. See also Robert B. Avery, Glenn B. Canner, Shannon C. Mok, and Dan S. Sokolov (2005), "Community Banks and Rural Development: Research Relating to Proposals to Revise the Regulations That Implement the Community Reinvestment Act," Federal Reserve Bulletin, vol. 91 (Spring), pp. 202-35. Issues Raised by Expanding the Disclosure of Pricing-Related Items Although disclosures that are more comprehensive could improve the understanding of loan pricing, it would impose new costs on lenders to collect and report the additional data, raise difficult reporting issues, and might pose privacy concerns for consumers and reveal otherwise nonpublic information about lenders' business strategies. Adding new data elements to mandated disclosures would require institutions to train staff, modify data collection and reporting software, and expand controls to ensure the reporting of correct data. Further, the fact that lenders differ in the factors they consider in setting loan prices makes it difficult to select additional data elements that would allow a complete understanding of the determinants of a particular lender's pricing method. Also, some loan-pricing items that might be added to the HMDA data raise technical issues about what, precisely, to report. For example, if lenders were required to report credit scores, getting consistent data across lenders would be difficult because institutions rely on different types of credit scores in underwriting--for example, some lenders rely on generic FICO credit history scores (see text note 31), whereas others use proprietary credit scores developed from information on their own experience with lending. The potential for compromising consumer privacy is also a consideration. More than 90 percent of the loan records in a given year's HMDA data are unique--that is, an individual lender reported only one loan in a given census tract for a specific loan amount. These unique loan records can be matched with other publicly available information, such as property deed records, to determine the identities of individual borrowers. With such a match, any data item in the HMDA database, such as loan pricing, becomes publicly known. During the Board's review of Regulation C, some commenters cited this circumstance as a reason not to require the reporting of price information. Expanding HMDA to include data items such as credit scores that may be considered highly personal would likely also raise privacy concerns. Finally, requiring lenders to disclose additional information about their lending activities may result in the disclosure of otherwise nonpublic information about lenders' business strategies. HMDA now requires disclosure of information about lending patterns--for example, pricing patterns--that otherwise would not be public. In general, such disclosure is pro-competitive because it helps possible entrants to the market identify business opportunities and lowers the information advantage of market incumbents. An argument could be made that disclosing detailed information about lenders' business strategies through HMDA might discourage lenders from testing new products or entering new markets by creating a risk that, because of such disclosure, a lender would lose its competitive advantage before it had recouped the fixed costs of entry. The likelihood of such discouragement would depend critically on whether potential competitors could discern the essential elements of a lender's business strategy (a discernment that would depend, in part, on which data items had to be disclosed) and, further, distinguish successful business strategies from unsuccessful ones (a distinction that could not be made on the basis of HMDA data alone). Ultimately, any decision to add data items to the reporting requirements of HMDA should be based on a careful weighing of the costs and benefits of such additional reporting. The Interest Rate Situation in 2004 The interest rates prevailing in a given year can significantly affect the proportion of loans that exceed the thresholds established by the Federal Reserve for determining whether a loan is "higher-priced." For 2004, the rate on Treasury securities used to calculate the spread for home loans with thirty-year terms varied from 4.67 percent to 5.54 percent. This variation implies that the threshold for reporting a first-lien loan as higher-priced ranged from 7.67 percent to 8.54 percent over the year. For junior liens, which typically have a shorter term to maturity than do first liens, the reporting threshold ranged from about 8.78 percent to 9.79 percent for a fifteen-year loan (different terms to maturity would yield somewhat different ranges). Data derived by Freddie Mac from its Primary Mortgage Market Survey show that the spread for average interest rates for first-lien conforming mortgages extended in 2004 imply a typical gap between the thirty-year Treasury rate and an estimated APR for prime-rate loans of between 1 percent and 1.25 percent. (40) This gap implies that a thirty-year first-lien home loan would have to have been priced between 1.75 percentage points and 2 percentage points above a prime-rate home loan to exceed the HMDA price-reporting threshold. Such a price spread was around the upper end of the near-prime market, but it was probably still below the levels associated with most subprime loans. In future years, the thresholds may cover a greater proportion of the near-prime segment of the market. Results: The Incidence of Higher-Priced Lending Several patterns are revealed in the 2004 HMDA pricing data (table 7). First, in almost all cases, government-backed loan products show lower incidences of higher-priced lending than do comparable conventional loan products. For example, among first-lien home-purchase loans for site-built homes, 11.5 percent of conventional loans have APRs above the pricing threshold versus only 1.3 percent of government-backed loans. Second, with few exceptions, first-lien loans have a substantially lower incidence of higher-priced lending than do junior-lien loans for the same purposes. For example, nationally the incidence of higher-priced lending for conventional first-lien refinance loans was 15.5 percent whereas for comparable junior-lien loans it was 27.4 percent. Third, manufactured-home loans exhibit the greatest incidence of higher pricing across all loan products, a result consistent with the elevated credit risk associated with such lending. For example, 57.1 percent of conventional first-lien loans used to purchase manufactured homes were higher priced, in sharp contrast to the 11.5 percent rate for comparable loans for site-built homes. Finally, the lower incidence of higher-priced lending (shown in the memo item in table 7) for loans initiated in the transition period reinforces the decision to exclude such loans from the pricing analysis. Rate spreads for higher-priced loans. Variation in mean and median spreads across products for loans with rates above the threshold is much smaller than variation in the incidence of higher-priced lending. Because the threshold for reporting is set higher for junior liens than for first liens, higher-priced junior-lien products have higher mean and median spreads. Once again, manufactured-home loans stand out in that they have the highest average spreads among all the loan products with comparable lien status. Except for loans backed by manufactured homes, the vast majority of higher-priced loans have prices within 1 or 2 percentage points of the pricing thresholds. Only a very small proportion of higher-priced first-lien loans have spreads that exceed 7 percentage points. Similarly, only a small proportion of junior-lien loans have spreads of 9 percentage points or more: But home-improvement loans provide two exceptions--30.7 percent of conventional junior-lien home-improvement loans and 47.6 percent of government-backed junior-lien home-improvement loans have spreads of 9 percentage points or more. Reflecting these distributions, the mean and median spreads for most loan products fall within 2 percentage points of the reporting thresholds. The exceptions include loans backed by manufactured homes and junior-lien home-improvement loans, for which the distribution of prices is more even. Lenders of higher-priced loans. Most lenders covered by HMDA reported extending few if any higher-priced loans for 2004 (data not shown in tables). Nearly 3,300 lenders reported making no such loans, and an additional 2,300 reported making between one and nine such loans. Nearly 500 lenders reported making more than 100 higher-priced loans; these more-active lenders accounted for 96 percent of all reported higher-priced lending of this type. Moreover, the 10 lenders with the largest volume extended 38 percent of all higher-priced loans. Variation across metropolitan areas. The analysis of separate geographic markets shows that higher-priced lending varies considerably across MSAs. (41) For this exercise, the focus is on the incidence of higher-priced lending among conventional first-lien home-purchase loans for site-built, owner-occupied homes. The MSA with the lowest incidence of higher-priced lending for this product is the San Francisco --San Mateo-Redwood City area in California, at 2 percent; the MSA with the highest incidence is the McAllen-Edinburg-Pharr area in Texas, at 42 percent. (42) A review of the full list of MSAs indicates that most of the areas with the highest incidence are in the southern region of the country, whereas those with the lowest incidence are much more dispersed. Although a comprehensive analysis of the reasons for such wide variation in the incidence of higher-priced lending is beyond the scope of this article, a review of data from one of the three national credit-reporting agencies finds a close association between the proportion of individuals in an MSA county with a low credit score and the incidence of higher-priced lending in that area. Loans Covered by HOEPA The 2004 HMDA data indicate whether a loan is subject to the Home Ownership and Equity Protection Act of 1994. Before 2004, little information was publicly available about the extent of such lending or the number or type of institutions involved in such activities. However, HMDA data do not capture all HOEPA-related lending. Some HOEPA loans are extended by institutions not covered by HMDA, and some HOEPA loans that are made by HMDA-covered institutions are not reported under the Federal Reserve Board's Regulation C, which implements HMDA. In particular, if the proceeds of a home-secured loan are not used to refinance an existing home loan or to finance home improvement, then the loan may be covered by HOEPA but is not reportable under Regulation C. (43) Incidence of HOEPA-Related Lending For 2004, 1,948 lenders reported extending 24,594 loans covered by HOEPA (table 7). The HOEPA loans accounted for only 0.003 percent of all the originations of home-secured refinance or home-improvement loans reported for 2004 (derived from the table). (44) HOEPA lending is relatively concentrated: The ten lenders that reported the largest number of HOEPA originations accounted for 37 percent of all reported HOEPA loans (data not shown in tables). At the other extreme, 801 institutions reported only one HOEPA loan, and 327 reported only two such loans. Most HOEPA loans were extended by banks (50 percent of the total) or by bank subsidiaries or affiliates of bank holding companies (14 percent of the total); independent mortgage companies extended the rest. Characteristics of HOEPA-Related Lending As noted, HOEPA applies only to closed-end home loans (whether for refinancing or home improvement) and not to home-purchase loans or home equity lines of credit. The vast majority of HOEPA loans reported in the 2004 data involved conventional products: Only 7 percent of reported HOEPA loans were government backed (derived from table 7). About 50 percent of the reported HOEPA loans involved first-lien conventional loans (more than 80 percent of these were for refinancings, and the rest were for home improvement), and about 40 percent involved junior-lien conventional loans (more than half of these were for home improvement). On average, reported HOEPA loans are not large (data not shown in tables). For example, for conventional refinancing loans covered by HOEPA, the average size of a first-lien loan was $98,650, and the average size of a junior-lien loan was $31,705. In contrast, the average sizes of such loans not covered by HOEPA were $173,125 for a first-lien loan and $54,581 for a junior-lien loan. Reported HOEPA lending varies among borrowers sorted by borrower income, race, and ethnicity and among census tracts sorted by census tract income, population, and location. However, the data do not indicate that HMDA-reportable HOEPA lending is focused primarily on lower-income or minority individuals or on those residing in lower-income neighborhoods or neighborhoods with high concentrations of minority individuals. For example, although reported HOEPA loans were extended to borrowers in all income groups, about three-fourths were extended to middle- and higher-income borrowers (data not shown in tables). Similarly, most reported HOEPA loans were extended to non-Hispanic white borrowers. Most of the homes secured by reported HOEPA loans were in middle- or higher-income areas and in areas with a minority population that was less than 20 percent of the total population. LENDING OUTCOMES BY RACE, ETHNICITY, AND SEX One of the primary purposes of the HMDA data is to allow comparison of the outcomes of the lending process for applicants and borrowers grouped along many dimensions, including by race, ethnicity, and sex. Outcomes reported in the HMDA data include the disposition of applications (denial rates) and, as of 2004, the pricing of loans. Gross outcomes for different groups of borrowers can be compared, but HMDA data include information on a number of items whose presence or absence for borrowers can be made consistent ("controlled for") in conducting the comparisons. Clearly the HMDA data do not include all the factors that are involved in credit underwriting and pricing. However, by controlling for variations so as to make borrowers as similar as possible on the dimensions of the data that are available, one can account for some of the factors that may explain differences in the outcomes of the lending process among groups. The HMDA data allow individuals to be matched by loan type and purpose, type of property securing the loan, lien status, owner-occupancy status, property location (for example, same MSA or even same census tract), income relied on for underwriting, loan amount, and time of year when the loan was made as well as by whether the loan involved a co-applicant. In comparing lending outcomes across racial and ethnic groups, one can match for the sex of the applicant and co-applicant, and in comparing outcomes by sex, one can match for race and ethnicity. Comparisons in outcomes across groups can be conducted at the level of an individual institution, groups of institutions (for example, manufactured-home lending specialists), geographic market, or populations as a whole. Further, a variety of statistical methodologies can be used to control for the effects of the credit-related or other factors in HMDA noted above. The full range of these comparisons is beyond the scope of this article. However, to gain an understanding of the differences that are likely to be important, we analyzed the 2004 data using statistical matching criteria similar to those used in the Federal Reserve's statistical analysis program (described in the section "Using the Expanded HMDA Data as a Screening Tool for Fair Lending Enforcement"). We restrict the analysis to denial rates, the incidence of higher-priced lending, and the mean spreads paid by borrowers with higher-priced loans, and we compare these outcomes across eleven groups--nine racial or ethnic groups and the two sexes. We conduct the analysis for thirteen of the twenty-five loan products covered in table 7. (45) We present the comparisons at three levels, one unadjusted and two adjusted. The first level for each group is the raw, or unadjusted, average outcome. The second level is the average outcome as adjusted for the borrower-related factors reported in the HMDA data--income, loan amount, location (MSA) of the property, presence of a co-applicant, and (in the comparisons by race and ethnicity) sex or (in the comparisons by sex) race and ethnicity; applying this adjustment is hereafter termed "adjusting (or controlling or accounting) for borrower-related factors." The third level is the average outcome as adjusted for all the items in the second level (the borrower-related factors) plus the lending institution--applying this adjustment is hereafter termed "adjusting (or controlling, or accounting) for borrower-related factors plus lender." Applications subject to the transition rules were excluded from the pricing comparisons; however, they were included for the denial-rate comparisons. (46) Also excluded from the sample are applicants residing outside the fifty states and the District of Columbia, applications deemed to be business-related, and requests for pre-approval that were denied by the lender or that were granted by the lender but not acted upon by the borrower. Otherwise, the sample includes all 2004 HMDA applications acted upon by the lender in the thirteen product areas. Unadjusted and adjusted comparisons for lending outcomes across groups are discussed in the sections below. For purposes of presentation, the adjusted outcomes shown in the tables are normalized so that, for the base comparison group (non-Hispanic whites in the case of comparison by race and ethnicity, and males in the case of comparison by sex), the adjusted mean at each adjustment level is the same as the unadjusted mean. Consequently, the adjusted outcomes for any other group represent the expected average outcome if the members of that group had the same distribution of control factors as that of the base comparison group. Denial Rates across Groups Unadjusted mean denial rates vary across loan categories for all groups of borrowers (table 9). For example, the mean unadjusted denial rate for Asians is lowest for government-backed first-lien home-purchase loans (12.4 percent) and highest for conventional junior liens for home improvements (46.1 percent). For every loan category, American Indians, blacks, Hispanic whites, and the group for which race was missing have higher unadjusted mean denial rates than non-Hispanic whites, with the highest rates generally for blacks and the rates for Hispanic whites lying about halfway between those for blacks and those for non-Hispanic whites. The denial rates for each of the other minority groups vary in their relationship with the rates for non-Hispanic whites. With few exceptions, controlling for borrower-related factors reduces the differences among racial and ethnic groups. (Although the effect of controlling for borrower-related factors can widen the racial and ethnic differences in denial rates.) Accounting for lender almost always reduces differences further, although statistically significant differences remain between non-Hispanic whites and most of the other racial and ethnic groups. For example, for conventional first-lien home-purchase loans, the unadjusted mean denial rate for blacks was 24.7 percent and for non-Hispanic whites 10.9 percent, a difference of 13.8 percentage points. Accounting for income, loan amount, and other borrower-related factors in the HMDA data reduces the difference 2.4 percentage points. Controlling for borrower-related factors plus lender significantly reduces the gap further, to 7.3 percentage points. The reduction for conventional first-lien refinancing is even more dramatic. The unadjusted difference between black and non-Hispanic white denial rates is 17.6 percentage points, a difference cut by more than half, to 8.1 percentage points, when adjusted for borrower-related factors plus lender. Differences in denial rates exhibit no consistent pattern with regard to the sex of the applicant. For some products, males have higher denial rates, and for others, females do; but in general, the size of the difference by sex is small. Furthermore, controlling for borrower-related factors plus lender has an inconsistent (but generally small) effect. In fact, in some cases adjustment reverses the sign of the difference--that is, for example, some denial rates that were higher for females than for males before adjustment become higher for males than for females after adjustment. Incidence of Higher-Priced Lending across Racial and Ethnic Groups Although most borrowers do not have higher-priced loans, the incidence of higher-priced lending varies substantially across racial and ethnic groups (table 10). Moreover, both the overall incidence of higher-priced lending and the differences across groups varies substantially across loan product categories. For government-backed loan products, small proportions of borrowers have higher-priced loans, and no meaningful differences appear across racial and ethnic groups. At the other extreme, the majority of borrowers for manufactured homes have higher-priced loans; and for this product, significant differences appear across racial and ethnic groups (although these differences are smaller than for some other products). Differences in the incidence of higher-priced lending across loan products make it difficult to identify consistent patterns across all types of lending. Conventional home-purchase lending and conventional refinance lending include most of the borrowers covered by the HMDA data, and consequently those loan types are the main focus of the discussion of higher-priced lending that follows. In general, unadjusted differences in the incidence of higher-priced lending between non-Hispanic whites, on the one hand, and blacks, on the other, are large, but these differences are substantially reduced after controlling for borrower-related factors plus lender. Most of the reduction in the difference in the incidence of higher-priced lending across groups comes from adding the control for lender to the control for borrower-related factors. For conventional first-lien home-purchase loans, the mean unadjusted incidence of higher-priced lending was 32.4 percent for blacks and 8.7 percent for non-Hispanic whites, a difference of 23.7 percentage points. Borrower-related factors account for about one-fourth of the difference. Adding to this adjustment the control for lender reduces the remaining gap markedly, to 7 percentage points. For conventional first-lien refinancings, the unadjusted difference between blacks and non-Hispanic whites is 21.7 percentage points; this difference is reduced to 4.7 percentage points after controlling borrower-related factors plus lender, and about two-thirds of that reduction comes from the addition of the control for lender. Similar patterns for differences between black and non-Hispanic white borrowers are found for the junior-lien products. The picture for Asians differs greatly from that for blacks. Asians have a lower unadjusted mean incidence of higher-priced lending for first-lien conventional home-purchase and refinance loans than do non-Hispanic whites. The gap is narrowed by controlling for borrower-related factors plus lender, although the incidence of higher-priced lending remains lower for Asians than for non-Hispanic whites. Hispanic whites show a pattern similar to that of blacks, but with smaller differences relative to non-Hispanic whites. For first-lien conventional loan products, the adjusted differences for Hispanic whites are less than one-half those for blacks; for conventional home-purchase junior liens, the differences for Hispanic whites are close to those for blacks. The foregoing analysis indicates that the information in the HMDA data--that is, adjusting the HMDA data for borrower-related factors plus lender--is insufficient to account fully for racial or ethnic differences in the incidence of higher-priced lending; significant differences remain unexplained. Explaining the remaining differences is likely to require more details about such factors as the specific credit circumstances of each borrower, the specific loan products they seek, and the business practices of the institutions they approach for credit. Understanding the patterns within the HMDA data is also likely to require more information. Two somewhat offsetting patterns are shown in the data. On the one hand, minority borrowers (except for Asians) tend to disproportionately use government-backed products, which show a much lower incidence of higher-priced loans. The implication is that the difference in the incidence of higher-priced lending between minorities and non-Hispanic whites is lower for the combined loan product, conventional and government-backed loans, than for each product separately. On the other hand, for a given loan type, whether government-backed or conventional, non-Asian minorities tend to disproportionately borrow from lenders that have higher incidences of higher-priced loans, a tendency on the part of minority borrowers that accounts for much of the aggregate difference in outcomes between them and non-Hispanic white borrowers. The disproportionate borrowing by non-Asian minorities from higher-priced lenders could occur because of often benign factors such as a "segmented" marketplace in which different lenders offer different products and borrower groups self-select the product-lender combination that best matches their credit or other circumstances. Such a marketplace does not necessarily raise public-policy concerns regarding fair lending: For example, compared with non-Hispanic whites, minority groups on average may seek loans with higher loan-to-value ratios (perhaps because on average they may have less savings to meet down-payment and closing cost requirements), which are typically higher priced and which are the specialty of certain lenders. This explanation could account for differences in lender choice, but demonstrating it requires loan-specific information--such as loan-to-value ratios--as well as other information that is not in the HMDA data. However, a situation that might suggest an inadequately functioning marketplace--and that could trigger fair lending concerns--would occur if minority borrowers are incurring prices on their loans that are higher than is warranted by their credit characteristics. Such a problem could arise in one or both of the following circumstances: (1) neighborhoods with high proportions of minority residents may be less well served by lenders offering prime products, a circumstance that would make obtaining lower-priced loans more difficult for well-qualified minorities, or (2) some minority borrowers may be steered to lenders who typically charge higher prices than the credit characteristics of these borrowers warrant. The data reported under HMDA are insufficient to tell us whether either explanation (or any other) is correct, nor do they tell us why minorities disproportionately use government-backed products. Incidence of Higher-Priced Lending for Selected Subgroups Although, for reasons discussed above, we cannot definitively explain the racial and ethnic pricing differences that remain after adjusting for borrower-related factors plus lender or the reasons that minorities may disproportionately obtain credit from higher-priced lenders, some additional insights may be gained by analyzing subgroups of lenders and borrowers (table 11). We present data only for blacks and Hispanic whites because they are the two minority groups whose outcomes differ most from those of non-Hispanic whites in the incidence of higher-priced lending. We also restrict the comparison to the two loan-products that account for the largest number of loans--conventional home-purchase loans and refinancings. We analyze these two minority groups and the two loan products with regard to five factors: (1) the borrower's relative income; (2) the relative income of the census tract in which the property related to the loan is located; (3) the location of the property relative to the lender's assessment area as defined under the Community Reinvestment Act of 1977 (CRA); (4) the disposition of the loan--that is, whether the loan was retained or sold and, if it was sold, to whom; and (5) the proportion of the lender's loans that are higher priced (less than 10 percent, 10-49 percent, or 50 percent or more--the last proportion being taken to indicate that the lender specializes in higher-priced lending). (47) Results for borrowers grouped by their relative income and their census tract income classification offer little evidence that unexplained racial differences in pricing or lender choice vary by income. Although the incidence of higher-priced loans is higher for lower-income borrowers and those who live in lower-income census tracts, the same is true for all three racial groups. Thus, although unexplained price differences are somewhat lower for higher-income borrowers, price patterns are generally similar to those of the overall decompositions. The decompositions for CRA assessment area and loan sales provide evidence on whether the channel through which a loan was obtained and the subsequent disposition of the loan affect racial or ethnic groups differently. Although the overall incidence of higher-priced loans reported in the 2004 HMDA data is much lower for loans sold to the GSEs, the data offer scant evidence that the disposition (sold or retained) is related to unexplained racial differences. However, whether the loan was originated by an institution in its CRA assessment area does matter. Differences across groups for lending within an assessment area are about one-third of those for lending outside the assessment area. Moreover, for all racial and ethnic groups, lending within an assessment area exhibits a much lower incidence of higher-priced lending. One possible explanation for the assessment-area effect may be that the channel through which loans are originated matters. Loans extended to borrowers outside an institution's assessment area may be more likely to have come through mortgage brokers, who may price differently or who operate in areas with different market conditions than do institutions that originate loans directly. Although this pattern may suggest that brokers charge higher prices, particularly to minorities, it is not necessarily evidence of unfair treatment or that the existence of the broker channel adversely affects minorities. It may indicate that brokers serve markets or individuals who are more costly to serve, or whose credit profiles are weaker, and price accordingly. If so, then were it not for broker activity, some of these borrowers might not be served at all or might pay higher prices. Determining whether brokers treat minority borrowers fairly is a complex undertaking and requires information unavailable in the HMDA data. The same can be said about lenders that originate loans through different channels. Finally, although the aggregate lending patterns of specialists in higher-priced lending exhibit unexplained racial or ethnic differences, so do the aggregate patterns of other lenders to approximately the same degree. And for the higher-priced specialists with the highest incidence of higher-priced lending, differences across racial and ethnic groups are, in some instances, lower than for other lenders. Regarding the racial and ethnic differences in the lending patterns that do exist among higher-priced lending specialists, the analysis shows that income, loan amount, and other HMDA factors appear to explain little of those differences. Differences in Mean Price Spreads across Racial and Ethnic Groups Patterns across racial and ethnic groups for the mean spreads paid by those with higher-priced loans are quite different from patterns across such groups for the incidence of higher-priced lending (table 12). For the loan products with the largest numbers of borrowers, the unadjusted mean spreads are lower for all minority groups except blacks than they are for non-Hispanic whites. Typically, Asian borrowers have the lowest mean spreads. Furthermore, adjusting for differences in loan amounts, incomes, and other HMDA factors plus lender either does little to the average spreads or changes them in different directions for different groups. One consistent difference that persists after adjustment is the difference between blacks and non-Hispanic whites. After adjustment, the gap in the mean spreads between these groups for the most common loan products is between 0.10 and 0.15 percentage points. Differences in Pricing by Sex of Borrower As with denial rates, there is little evidence of systematic differences in pricing when borrowers are distinguished by sex (table 10). The differences in the unadjusted incidence of higher-priced lending are almost always small across loan products and generally narrow when HMDA factors plus lender are taken into account. Of the nineteen loan product comparisons with evidence of some pricing difference by sex, males have a higher incidence of higher-priced loans in nine cases, while females do in ten cases. Nearly identical patterns are exhibited for mean spreads, and there is no evidence that one sex consistently pays more than the other (table 12). The Role of Factors Not Included in HMDA An important limitation of the decompositions reported earlier is that controls were possible only for borrower-related factors included in the HMDA data plus lender when assessing differences in loan pricing among racial, ethnic, or other groups. As noted, many factors relevant to underwriting and pricing are not included in the HMDA data and thus cannot be accounted for in analyses that rely exclusively on the data. To provide some insight into how important controlling for these other factors might be in accounting for pricing differences across borrower groups, we collaborated with Georgetown University's Credit Research Center (CRC) to perform additional analyses using a CRC database. The CRC data consist of both HMDA data and a wide range of other loan-level factors not in the HMDA data that may relate to credit underwriting and pricing. The CRC data, which were provided by eight lenders that specialize in subprime lending, are equivalent to the 2004 HMDA filings of those lenders (for the loans they originated) plus non-HMDA information on many other characteristics of the loans and borrowers. (48) The non-HMDA information consists of credit history scores (in this instance, FICO scores), loan-to-value ratios for first-lien loans, the appraised value of property, and information on whether the interest rate on the loan was adjustable or fixed, whether underwriting for the loan waived certain certifications by the borrower (that is, whether the loan was a "low documentation" product), whether the loan carried a prepayment penalty, and whether the loan was originated through a broker. Unlike the HMDA data, the CRC data are not disaggregated by individual lender; consequently, the analysis of the data could not control for lender. Together, the eight lenders accounted for about 22 percent of the higher-priced conventional first- or junior-lien home-purchase or refinance loans related to owner-occupied properties reported by HMDA filers for 2004. The CRC analyzed pricing differences among the combined filings of the eight lenders in a manner identical to that used to prepare table 10--that is, using only data reported in HMDA--and then it extended the adjustment of differences by using the non-HMDA items in its database. (49) The number of loans in the CRC database was sufficient to allow meaningful analysis of conventional home-purchase and refinance loans on one- to four-family, site-built, owner-occupied homes for two minority groups--blacks and Hispanic whites--and for non-Hispanic whites. For pricing outcomes for conventional first-lien home-purchase loans from the eight lenders, as adjusted for borrower-related factors (that is, using only the HMDA data), the incidence of higher-priced lending differs between black and non-Hispanic white borrowers by 1.5 percentage points and between Hispanic white and non-Hispanic white borrowers by 0.3 percentage point (table 13). When additional factors available only in the CRC data are taken into account, the differences between black and non-Hispanic white borrowers and between Hispanic white and non-Hispanic white borrowers falls about one-third. For refinance loans, the 1.2 percentage point gap between black and non-Hispanic white borrowers that remains after controlling for HMDA data items is removed when additional factors in the CRC database are controlled for. With respect to mean APR spreads for these loan products, gross differences across racial or ethnic groups (that is, differences that exist in the raw, or unadjusted, data) are de minimus, a fact little changed by adding more controls from either the HMDA or the CRC data. These results suggest that an analysis employing comprehensive information on specific loan products (for example, different types of adjustable-rate loans) from specific lenders--information unavailable in the HMDA or CRC data--would be required to draw firm conclusions about racial or ethnic differences in pricing. USING THE EXPANDED HMDA DATA AS A SCREENING TOOL FOR FAIR LENDING ENFORCEMENT Ensuring compliance with the nation's fair lending laws is one of the responsibilities of the federal and state agencies that regulate financial institutions. For some time, the Federal Reserve has been using a statistical analysis system that relies on the HMDA data to help assess fair lending compliance by high-volume mortgage lenders. The system identifies which supervised institutions and which loan products and geographic markets show meaningful differences in the denial rates of loan applications by the race, ethnicity, or sex of the borrower and thus warrant greater supervisory attention. The statistical analysis system measures differences in denial rates by comparing applications for a specific loan product filed by applicants who differ by race, ethnicity, or sex but who are matched on the basis of the limited set of items in the HMDA data. For example, the analysis can focus on denial rates of whites, Hispanic whites, and blacks by comparing the denials of applicants from each of those groups who sought the same loan product for about the same loan amount, are from the same metropolitan area, and have similar incomes, dates of application, and number of applicants in the transaction. The statistical analysis system also provides compliance examiners with a specific list of matched application files to review during the on-site part of an examination. The expanded data provide opportunities to improve the statistical analysis system in two ways. First, some of the new data items can be used to refine the existing system of analyzing denial rates of loan applications by allowing more precise differentiation among loan products. Lien status and manufactured-home designation are prominent examples because both typically have significant roles in loan underwriting. Second, the new loan-pricing information provides opportunities to expand the statistical analysis beyond the disposition of applications to differences in loan pricing. The data can be reviewed for differences across groups in the incidence of higher-priced lending and in average spreads paid by borrowers with loans priced above the thresholds. The pricing data can also be reviewed for broader patterns that may indicate fair lending issues. For example, an institution's overall lending activity can be reviewed to identify geographic variations in pricing that may be associated with neighborhood racial or ethnic population characteristics. Each of these approaches will improve the fair lending analyses conducted by examiners. Screening Using the 2004 HMDA Data As of this writing, the Federal Reserve has modified its statistical analysis system for fair lending examinations to incorporate the new information available in the expanded HMDA data. To examine the potential utility of the enhanced system, we used a streamlined version of the system to conduct a review of the lending activity of the 8,853 institutions reporting 2004 HMDA data. The approach here and in the earlier sections of this article are related, but unlike the earlier sections, which involved an analysis of aggregate patterns that included a control for lender, this exercise uses the data to identify patterns in the lending of individual institutions. The streamlined analysis starts by evaluating the statistical significance of differences across racial or ethnic lines in the unadjusted (or gross) incidence of denial rates, incidence of higher-priced lending, and average spreads paid by those with higher-priced loans for each lender separately. This procedure produces a series of lender-product combinations. For each lender-product combination, further analysis matches each minority applicant (or borrower) with nonminority applicants (or borrowers) on the basis of a variety of factors available in the HMDA data, including loan product, borrower income and loan amount, geographic market (for example, specific MSA), and number of applicants (one or more than one). Adjusted differences are computed by comparing the denial rates, incidence of higher-priced lending, and average APR spreads of minorities with those of the nonminorities matched to them. This procedure is designed to remove the effects of these other factors from the calculations of the differences. The adjusted differences are an estimate of the expected differences in outcomes if a minority and a nonminority with the same income, loan amount, and number of applicants applied for the same loan product, at the same institution, in the same market. The streamlined analysis used for purposes of this article relies on publicly available data as well as data filed under HMDA that are not subject to public disclosure (the dates an application was filed and acted on). A picture of the outcomes of the statistical analysis system with regard to the analysis of denial rates or pricing can be conveyed by reviewing the number of loan products for which the system indicates a statistically significant difference between blacks and Hispanics (as a group) and non-Hispanic whites in denial rates, in the incidence of higher-priced lending, or in the mean differences in pricing for those with higher-priced loans. (50) The focus of the streamlined analysis is on the eight owner-occupied product areas that account for the vast majority of owner-occupied loans in the 2004 HMDA data. (51) In total, there are 13,260 lender-product combinations for the 8,853 HMDA reporting institutions that have at least one black or Hispanic borrower who can be matched (for comparison) to at least one non-Hispanic white borrower. Of the 13,260 lender-product combinations, 2,418 have at least fifty black or Hispanic borrowers and at least fifty non-Hispanic white borrowers, numbers that provide a more meaningful basis for comparison. For the black and Hispanic group and the non-Hispanic white group, we have calculated, for the 13,260 lender-product combinations, the distribution across the categories of the statistical significance of three indicators--the difference in denial rates (table 14), in the incidence of higher-priced lending (table 15), and in the mean spreads for loans above the threshold (table 16). We differentiate between situations in which the black and Hispanic group has an indicator (denial rate, incidence of higher-priced loans, or mean spread) that is greater than that for the non-Hispanic white group and situations in which an indicator is lower for the black and Hispanic group than for the non-Hispanic white group. Differences are presented in two ways: (1) as the distribution of the statistical significance of the unadjusted rate or incidence and (2) for each unadjusted category, as the distribution of the statistical significance that remains after the statistical analysis system has been applied. The categories of statistical significance are, from highest to lowest level of significance, 1 percent, 5 percent, 10 percent, and not statistically significant. Denial Rates Of the 13,260 lender-product combinations, 3,075, or 23 percent, are those in which the minority group has an unadjusted denial rate that is different from that of the non-Hispanic white group by a statistically significant amount. In almost all of these cases, the black and Hispanic denial rate is higher, although the reverse holds in 4 percent of the cases. Eleven percent of the lender-product combinations show a statistically significant difference in denial rates after the matching procedure is employed (6 percent at the 1 percent significance level), and only 2 percent of the 11 percent show a lower denial rate for blacks and Hispanics. Incidence of Higher-Priced Loans Of the 13,260 lender-product combinations, 1,148, or 9 percent, have a statistically significant difference between the minority and nonminority groups in the unadjusted incidence of higher-priced lending. Most of the significant differences show a higher incidence for the black and Hispanic group, although about 8 percent show a lower incidence. Employing the matching process to control for differences in income, loan amount, and other HMDA factors reduces the number of statistically significant differences by more than one-half. Of the lender-product combinations that are statistically significant at the 1 percent level when unadjusted differences are evaluated, fewer than one-half (2 percent of the total number of lender-product combinations) are statistically significant at the 1 percent level after adjustment. A similar reduction occurs in the number of lenders with at least one loan product with a statistically significant minority-nonminority difference--the matching procedure reduces the number of lenders almost 50 percent (data not shown in tables). The effect of employing the statistical procedures is particularly dramatic for those products for which the black and Hispanic group shows an unadjusted incidence that is lower by a statistically significant amount. Only 7 percent of such cases remain statistically significant after the matching procedures are employed--and none are at the 1 percent significance level. The reduction in the number of statistically significant differences results primarily from a reduction in the magnitude of the differences. For example, on average, the minority-nonminority difference in the incidence of higher-priced loans for those lender-product combinations in which the unadjusted difference is positive and statistically significant falls 4.5 percent, or about one-fourth, after matching. Mean Pricing Spreads The matching procedure yields a similar reduction in the number of lender-product combinations showing a statistically significant difference in the mean spreads for blacks and Hispanics versus those for non-Hispanic whites. Of the 13,260 lender-product combinations, 5 percent show a statistically significant minority-nonminority difference in the mean spread; about one-third of these show a lower spread for blacks and Hispanics. The number of statistically significant differences for lender-product combinations is reduced 60 percent after the matching procedure is employed, and about one-sixth of those show a lower spread for blacks and Hispanics. The number of lenders with a statistically significant difference in mean spread for at least one product also falls about 60 percent when adjustments are made. Overall Patterns A high degree of overlap exists among lenders with statistically significant adjusted differences between the minority and nonminority groups in denial rates, the incidence of higher-priced lending, and mean spreads. For example, 60 percent of the lenders with a difference in the adjusted mean spread that is statistically significant at the 1 percent level also have a statistically significant difference in the incidence of higher-priced lending for at least one product. Almost 80 percent of the lenders with an adjusted difference in the incidence of higher-priced lending that is statistically significant at the 1 percent level also have a statistically significant difference in the denial rates for at least one product. However, the presence of statistically significant differences in multiple outcome measures does not necessarily imply a more serious fair lending concern; it may simply reflect differences in the distribution of credit characteristics of the minority and nonminority populations served by the lender. We emphasize that the Federal Reserve's statistical analysis system is only a screening tool. The HMDA data alone, no matter how much they are manipulated, cannot be used to conclude whether a particular applicant was treated adversely on the basis of a prohibited factor regarding either the disposition of the application or the pricing of the loan. The data reveal little about an individual's financial circumstances and nothing about the condition or value of the property offered as collateral. Furthermore, the data reveal nothing about the underwriting standards used by a lender to assess the creditworthiness of an individual or to set loan price. Moreover, the data do not reveal how a lender's credit decisions relate to its overall business strategy. For example, the data do not account for the possibility that an institution's outreach efforts may attract a larger proportion of applicants with weaker credit profiles than do other institutions. Consequently, the data do not provide a final basis on which to draw conclusions regarding either the existence or the absence of fair lending violations. The Use of Screening in the Enforcement Process As implemented in the Federal Reserve's bank supervisory process, the statistical analysis system is used as a screening procedure to identify those institutions and their specific products that warrant closer review for fair lending concerns. Examiners familiar with the procedures and products of a given institution conduct the analysis and tailor it to the specific circumstances relevant to the institution in ways that reflect the institution's product offerings, its compliance risk-management systems, and the Federal Reserve's overall supervisory experience with the institution. Thus, the system used as a screening tool to analyze fair lending compliance for a particular institution is more complex than the streamlined analysis used in this article. If an institution is targeted for more-intensive review, follow-up procedures can take one or more forms, including soliciting more information from the institution regarding its lending and underwriting procedures; gathering additional loan-level data, such as credit scores and loan-to-value ratios; performing detailed reviews of loan-file data; and conducting interviews with current or past bank personnel or borrowers. The follow-up can be integrated into the normal consumer examination cycle or can become a special review of fair lending compliance. The Federal Reserve has already applied the expanded statistical management system that includes the 2004 HMDA data to many of the institutions it supervises and has contacted those that exhibited relatively large pricing differences by race, ethnicity, or sex to learn more about their lending practices and to improve compliance oversight. In addition, a review of the 2004 data by other agencies is under way. The Federal Reserve is sharing the screening procedures with other agencies so that, if they wish, they may integrate them into their supervisory programs. It is also responding to agency requests for additional, more detailed analysis of individual institutions that may be of concern to the agencies. Follow-Up Procedures When Unexplained Differences Are Found Experience with fair lending reviews indicates that widely used and largely noncontroversial, objective underwriting factors, such as credit scores and loan-to-value ratios, can often account for some or perhaps all of the pricing differences by race, ethnicity, and sex that are not explained by the HMDA data. Thus, generally the first step in a compliance examination in which pricing differences are at issue is to gather additional information on the factors that are used in underwriting and pricing but that are not included in the HMDA data. These factors can vary from institution to institution and from product to product. This step is generally taken after consultation with the lending institution and after a review of its underwriting policies and procedures. If accounting for these objective factors explains all racial or ethnic pricing differences remaining after controlling for HMDA-related factors, the examination will typically be closed unless other pricing issues remain. If, however, not all differences can be explained by controlling for these factors, further steps will typically be taken. Ordinarily examiners will ask the institution to provide any evidence it has for the remaining differences. Supervisory experience shows that these differences frequently arise in institutions that employ discretionary pricing programs. Lenders who indicate to examiners that pricing differences are the result of either (1) the use of discretionary pricing to adjust for varied market factors, such as a competitor's pricing or individualized credit-risk or pricing-related factors not encompassed in a rate sheet, or (2) differences in the extent to which borrowers negotiate for the best available pricing on their loans should expect to be asked to provide credible evidence to support such explanations. Such evidence could include contemporaneous documentation from loan files, credible statements by participating loan personnel, and nondiscriminatory underwriting policies and procedures, such as internal audits of discretionary pricing patterns or training that focuses on a loan officer's responsibility to avoid setting pricing overages according to the perceived susceptibility of a given group to such pricing. A particularly complex arena in which evidence of pricing differences may arise involves institutions having multiple loan origination channels, particularly channels that involve indirect loans (for example, those supplied by brokers or wholesalers). These channels can include multiple origination sources within a particular institution, including the institution's own loan officers along with those of its affiliates or subsidiaries, as well as indirect lending in which an institution originates loans referred to it by brokers or loan correspondents or purchases loans or pools of loans from unaffiliated, third-party originators. Such channels can encompass significant variety in the nature of the relationships between a given lender and the affiliates, brokers, or third-party originators that deliver loans to the lender. Indeed, such relationships may range across a spectrum from a prime-rate lender that also operates a subprime business in the same geographic market through a direct subsidiary to a regional bank in one section of the country that makes fully "arm's length" purchases of closed loans from an unaffiliated mortgage company operating solely in a different area. From a fair lending perspective, a lender whose different channels of lending serve either borrowers or geographic areas that differ by race, ethnicity, or other prohibited characteristic is likely to be further reviewed. That will certainly be the case if these different channels produce loan pricing that also differs by race, ethnicity, or other prohibited characteristic. (52) A full review of fair lending compliance in multiple-channel situations will turn on complex factual analyses that are beyond the scope of this article. It is sufficient to note here that such analyses will cover the type and degree of pricing differences, the nature of the various channels, the lender's legal and business relationships with other entities (for example, affiliates, brokers, correspondents, or wholesalers), the lender's business or economic basis for operating through those channels, and the lender's explanation for the pricing differences. The process of examining an institution for which pricing differences based on race, ethnicity, or sex are statistically significant and for which purely objective pricing factors, such as credit scores or loan-to-value ratios, cannot explain the differences, will include a review of loan files; discussions with management or loan personnel about possible reasons for the differences; a review of evidence put forth to support their explanations; interviews with customers, where necessary, regarding their experiences with the lender; and a careful vetting of an institution's policies and procedures and actual practices. If, after conducting an examination, there is no credible nondiscriminatory explanation for such differences, examiners will consider what supervisory action will be appropriate to address the issue. Moreover, a lender that cannot account for differences in pricing across groups may also be exposed to private rights of action under applicable fair lending laws and may face adverse effects on its reputation. HOEPA Enforcement For the agencies that evaluate compliance with HOEPA, the expanded HMDA data provide the first opportunity to readily identify which lenders extend home loans subject to that law and to measure the extent of their involvement in such lending. The new information also provides examiners with the data needed to efficiently select samples of loan files for review. The data can also be used to examine patterns of HOEPA-related lending across borrowers and neighborhoods, arrayed by their racial and ethnic profiles. Such analysis may reveal possible fair lending issues and may indicate communities where credit counseling activities could be targeted. The Federal Reserve's statistical analysis system has been augmented to include several screens to aid HOEPA-related enforcement. These screens include the identification of HOEPA loans that are potentially unaffordable given a comparison of the applicant's income and the estimated monthly loan payments, the identification of loans with APR spreads that would appear to have triggered HOEPA coverage but were not reported as such, and the calculation of differences across racial and ethnic groups in the incidence of HOEPA lending. (53) SUMMARY AND CONCLUSIONS In 2002 the Federal Reserve Board amended its Regulation C to expand the types of information that lenders covered by HMDA must disclose to the public about their home-lending activities. The amendments are intended to improve the quality, consistency, and utility of the reported data and to keep the regulation in step with recent developments in home-loan markets. Data reported for 2004 are the first to reflect the changes in the reporting rules. As anticipated, the expanded data provide new opportunities to assess home-lending activity. Newly available information on lien status and on whether a loan is for a site-built or manufactured home, as well as more uniformity in the information on home-improvement and refinancing loans, allows analyses that are more relevant to the current state of the market. Most prominently, the new information provides the first publicly available loan-level information on loan pricing in the higher-priced segment of the home-loan market, a segment that was virtually nonexistent a decade or so ago but is now an important part of the overall home-loan market. This article presents an analysis of the 2004 HMDA data. The analysis is conducted with the national HMDA database and is designed to provide an understanding of the overall patterns in the data rather than patterns that pertain to any individual market or lender. Much of the presentation focuses on the new items in the data. On balance, the analysis suggests that the information on lien status, manufactured homes, requests for pre-approval, and refined product definitions provides a much improved basis for describing lending activity and the disposition of applications for credit. Much of the initial public review of the data will, however, undoubtedly focus on loan pricing and particularly on the incidence of higher-priced lending and the comparison of prices paid by borrowers grouped by race, ethnicity, and sex. The most likely initial public focus will be on the incidence of higher-priced lending among minorities (particularly blacks) and among non-Hispanic whites. In the raw data, the differences between these two groups in the incidence of higher-priced lending are generally more than 20 percentage points for various loan products. Our analysis shows, however, that more than two-thirds of the aggregate difference in the incidence of higher-priced lending between black and non-Hispanic white borrowers can be explained by differences in the groups' distributions of income, loan amounts, other borrower-related characteristics included in the HMDA data, and the choice of lender. Further, analysis at the level of individual lenders suggests that about 2 percent of the 8,853 lenders covered by HMDA exhibited a statistically significant difference in the incidence of higher-priced loans between black and Hispanic borrowers, on the one hand, and non-Hispanic white borrowers, on the other, after accounting for factors included in the HMDA data. Thus, we see a sizable narrowing, at both the aggregate and institution levels, in the unexplained differences in the the incidence of higher-priced lending between minority and nonminority groups. This narrowing suggests that controlling for credit-related factors not found in the HMDA data, such as credit history scores and loan-to-value ratios, might further reduce unexplained racial or ethnic differences. Whether controlling for such additional factors will completely account for all remaining differences is unclear. In that regard, our collaborative study with the Credit Research Center on the lending activities of eight large subprime lenders, reported here, suggests that controlling for credit-related factors not included in the data can make a difference. Our analysis demonstrated that for some products the racial or ethnic differences were fully accounted for, whereas for other products, unexplained differences remained. Clearly, reaching convincing conclusions about whether institutions treat individuals differently on a prohibited basis requires institution-specific analysis. Hence, our analysis strongly indicates that the raw data alone can lead to inaccurate conclusions, which in turn may be unfair to particular institutions and may lead to unnecessary restrictions on the availability of loans to less-creditworthy applicants. Risk-based pricing has greatly expanded the availability of home loans to borrowers who, because of weaknesses in their credit profiles, had previously been unable to qualify. It would be unfortunate if unwarranted accusations of illegal bias, stemming from improperly analyzed pricing differences, discouraged lenders from participating in this segment of the market. The primary responsibility for ensuring compliance with fair lending laws falls on lenders. HMDA data may help lenders analyze and monitor their lending patterns. In addition, the regulatory agencies use the data for screening purposes to identify individual lenders that warrant heightened scrutiny regarding their loan-pricing activities. Where warranted, such reviews include gaining a fuller understanding of the institution's loan-pricing practices, analyzing loan-level data, and interviewing appropriate personnel to determine whether pricing differences identified through the HMDA screening process are explained by controlling for these additional data or by other objective factors. To improve its fair lending examination capabilities, the Federal Reserve has modified its statistical analysis tool to use the new data to screen institutions for significant differences in lending outcomes across borrowers grouped by race, ethnicity, or sex. The Federal Reserve has already applied this expanded statistical management system to many of the institutions it supervises. It has also contacted those institutions that exhibit relatively large pricing differences to learn more about their lending practices and to improve its compliance oversight. Moreover, a review of the 2004 data by other agencies is under way, and the Federal Reserve is sharing the screening procedures with other agencies to facilitate their efforts. Institution-specific evaluations, which are not possible with the HMDA data alone, are essential to determining whether loan-pricing differences in fact reflect discriminatory treatment of minority groups. However, the aggregate data can nonetheless provide valuable, broader insights into the experience of such groups in the home-loan market. For example, black and Hispanic borrowers taken together are much more likely than non-Hispanic white borrowers to obtain credit from institutions that report a higher incidence of higher-priced loans. On the one hand, this pattern may be benign and reflect a sorting of individuals into different market segments by their credit characteristics. On the other hand, it may be symptomatic of a more serious issue. Lenders that report a lower incidence of higher-priced products may be either less willing or less able to serve minority neighborhoods. More troubling, these patterns may stem, at least in part, from borrowers being steered to lenders or to loans that offer higher prices than the credit characteristics of these borrowers warrant. Reaching accurate determinations among these alternative possible outcomes is one goal of the supervision system. Moreover, we hope that future research using the new HMDA data will provide insights that will facilitate this process. APPENDIX: ENHANCED DATA ON PRIVATE MORTGAGE INSURANCE Historically, mortgage lenders have required prospective borrowers to make a down payment of at least 20 percent of a home's value before they will extend a home-purchase loan. Such down payments are required because experience has shown that homeowners with little equity are substantially more likely to default on their mortgage. Private mortgage insurance (PMI) emerged as a response to both creditors' concerns about the elevated credit risk of lending backed by little equity in a home and the difficulties that some consumers encounter in accumulating sufficient savings to meet required down-payment and closing costs. PMI protects a lender if a borrower defaults on a loan: It reduces a lender's credit risk by insuring against losses associated with default up to a contractually established percentage of the claim amount. The costs of the insurance are typically paid by the borrower through a somewhat higher interest rate on the loan. In 1993 the Mortgage Insurance Companies of America (MICA) asked the Federal Financial Institutions Examination Council (FFIEC) to process data from PMI companies on applications for mortgage insurance and to produce disclosure statements for the public based on the data. (54) The PMI data largely mirror the types of information submitted by lenders covered by HMDA. However, because the PMI companies do not receive all the information about a prospective loan from the lenders seeking insurance coverage, some HMDA items are not included in the PMI data. In particular, loan-pricing information, requests for pre-approval, and HOEPA status are unavailable in the PMI data. For 2004 the seven PMI companies that were writing private mortgage insurance submitted data to the FFIEC through MICA. In total, these companies acted on nearly 2 million applications for insurance: 1.3 million to insure mortgages for purchasing homes and about 650,000 to insure mortgages for refinancing existing mortgages. PMI companies approved more than 90 percent of the applications they received. Approval rates are high because lenders are familiar with the underwriting standards used by PMI companies and generally submit applications for insurance only if the applications are likely to be approved. NOTE: Gregory Elliehausen, of the Credit Research Center of Georgetown University, prepared a special analysis for this article. (1.) See Home Mortgage Disclosure Act (12 U.S.C. 2801), Regulation C (12 C.F.R. pt. 203), and the staff commentary accompanying Regulation C (12 C.F.R. pt. 203, Supp. I). The Board's revisions to Regulation C that are the focus of this article were issued in 2002. See the following issues of Federal Register (2002), vol. 67: February 15, p. 7222; May 8, p. 30771; and June 27, p. 43218; and Federal Register (2003), vol. 68 (May 28), p. 31589. (2.) The Federal Reserve has adopted no specific definition of predatory lending, but the term is often considered to encompass a variety of lending practices involving fraud, deception, or unfairness. Some predatory lending practices are illegal; others, although legal, are still considered abusive in certain circumstances. Some of the practices considered questionable or in some cases illegal include (1) making loans that are based on the asset value of the collateral but are unaffordable given the consumer's ability to pay the obligation; (2) inducing repeated refinancing accompanied by high fees that provide no material benefit to the consumer (sometimes referred to as "loan flipping"); (3) inducing the consumer, through deception or fraud, to accept loan add-ons, such as single-premium credit insurance; (4) "steering" borrowers qualified for lower-rate loans into higher-priced loans; and (5) purposely overestimating the value of the collateral to overstate available equity or induce a consumer to pay an inflated price for a home. (3.) For additional information, see Board of Governors of the Federal Reserve System, Department of Housing and Urban Development, Federal Deposit Insurance Corporation, National Credit Union Administration, Office of the Comptroller of the Currency, and Office of Thrift Supervision (2005), "Agencies Announce Answers to Frequently Asked Questions about New HMDA Data," press release, March 31, www.federalreserve.gov/boarddocs/press/all/2005/. (4.) Although coverage of financial institutions under HMDA is limited to those with offices in metropolitan statistical areas, covered institutions must report on all their home-lending activities whether the properties involved in the loan are located in a metropolitan or nonmetropolitan area. (5.) For the details of the coverage rules and for additional information about the data collection and reporting requirements, see A Guide to HMDA Reporting: Getting It Right! published annually by the Federal Financial Institutions Examination Council (www.ffiec.gov/ hmda/guide.htm). (6.) Reporting institutions had been allowed to choose from four scenarios in deciding which refinancings to report. The new rules define a refinancing simply as a secured home loan that satisfies and replaces another secured home loan by the same borrower. The reporting of home equity lines of credit (extended for any purpose) is voluntary. (7.) One technique used to identify loans backed by junior liens was to assume that all loans below a given amount were junior-lien loans. This approach is flawed because some homes, including many manufactured homes, have low prices and purchasers of these properties often need only a small loan. Similarly, some borrowers make substantial down payments when they buy a home, and in such circumstances, the amount of the first-lien loan may be small. (8.) During some fair lending reviews, lenders have provided examiners with information that has allowed the separation of first and junior liens. (9.) A manufactured home is a single-family house constructed under a federal building code administered by the U.S. Department of Housing and Urban Development (HUD). The Federal Manufactured Home Construction and Safety Standards (commonly known as the HUD code) took effect on June 15, 1976. The result of federal regulation was to more clearly define mobile homes as buildings rather than vehicles--although the HUD code imposes standards to make sure the units can be transported by truck to the placement site. The Housing Act of 1980 officially adopted this change, mandating that, for homes built under the HUD code, the term manufactured housing (factory-built homes) replace the term mobile homes in all federal law and literature. (10.) In the past, loans on manufactured homes were identified using information about the lender's main line of business. This proxy is helpful only for lenders focused mainly on manufactured-home lending. A large number of other lenders also extend such credit, but because manufactured-home lending does not constitute their main line of business, determining which of their loans involve manufactured homes has been impossible. See www.huduser.org/datasets/ manu.html. (11.) One method of estimating the annual volume of subprime loans is based on a list of subprime lenders that was developed by HUD and has been released each year since 1993. The number of loans in the HMDA data originated by lenders on the HUD list has been used as an estimate of subprime lending volume. The list has also been used to support other analyses of subprime lending activity. Of the 224 lenders on the list for 2003, 191 appear under the same name and identification number as reported in the HMDA filings for 2004. (12.) Estimates pertain to home loans backed by one- to four-family homes; see Inside Mortgage Finance Publications (2005), Mortgage Market Statistical Annual 2005, 2 vols. (Bethesda, Md.: IMFP IMFP - Inelastic Mean Free Path (of electrons) IMFP - Integrated Multi-Function Probe). (13.) Regulation Z, 226.3(a). The Federal Reserve Board's Regulation Z (12 C.F.R. pt. 226) implements the Truth in Lending Act. (14.) For such calculation, the rule directs creditors to use the fifteenth day of a given month for any loan on which the interest rate was set on or after that day through the fourteenth day of the next month. The relevant date is when the interest rate on the loan was determined, which is often, but not always, set pursuant to a lock-in agreement between the borrower and the lender. The APR used in the calculations is the one determined and disclosed to the consumer under section 226.6 or section 226.18 of Regulation Z. To ease reporting burdens and to help ensure high-quality data, the FFIEC makes available a "Rate Spread Calculator" that lenders can use to determine whether they must report the spread on a given loan and, if so, what the spread is; see www.ffiec.gov/ratespread/default.aspx. (15.) See the U.S. Census Bureau's 1998 and 1999 Annual Housing Surveys, the Federal Reserve Board's 2001 Survey of Consumer Finances, the Federal Housing Finance Board's 1999 Mortgage Interest Rate Survey, and data on subprime lending from the Credit Research Center of Georgetown University. (16.) See Board of Governors of the Federal Reserve System (2002), "Regulatory Analysis of Proposed Amendments to Regulation C," staff memorandum, Division of Research and Statistics, January 15. (17.) Unlike lines of credit, closed-end loans are amortizing--they require fixed monthly payments against both principal and interest-- and are thus scheduled to close at the end of a given term to maturity, when the balance will reach zero. A balloon payment might be involved if the amortization schedule leaves a relatively large balance owed at the end of the loan's term. In contrast, a home equity line of credit (HELOC) is a revolving account that permits borrowing from time to time at the account holder's discretion, up to the amount of the credit line. Under a HELOC, a consumer may repeatedly pay the balance down to zero and then redraw against the line. (18.) For further details, see section 226.32 of Regulation Z. (19.) The only pre-approval programs covered by HMDA are those in which the decision to grant or deny the request is based on a comprehensive credit underwriting process in which a lender collects and reviews the information it typically considers in making credit decisions in a traditional application (that is, an application for a specific property). For a pre-approval program to be covered, the lender must issue binding written commitments (subject only to very limited conditions) for consumers whose requests were granted. Because requests for pre-approval typically do not identify a specific home for purchase, the HMDA data do not show the property location for pre-approvals that do not ultimately result in an application for credit related to a specific property. (20.) See Office of Management and Budget (1997), "Revisions to the Standards for the Classification of Federal Data on Race and Ethnicity," Federal Register, vol. 62 (October 30), pp. 58782-90. (21.) The OMB changed MSA boundaries to encompass 288 previously rural counties and to exclude 46 counties previously in MSAs. (22.) Because of the reporting rules, asset size is generally a meaningful measure of size only for depository institutions. Assets are measured as of December 31, 2004. (23.) Among the loan originations in the 2004 data, about 470,000 were reported as being initiated through a pre-approval program. This figure likely understates the number of originations that began in pre-approval programs because the transition rules did not require the reporting of this item on applications taken before January 1, 2004. (24.) The HMDA data do not include a code indicating whether the junior-lien home-purchase loan reported in the data is associated with any particular first-lien loan. The junior-lien loan may be in the reported data, but the first-lien loan may not be. This distinction can arise if, for example, the lender extending the first-lien loan is not covered by HMDA. We estimate that about 62 percent of the junior-lien home loans used to purchase owner-occupied homes in the reported data are likely associated with a reported first-lien home loan of the same lender--these "paired loans" were extended by the same lender in the same census tract to borrowers of the same sex, race, and ethnicity, and the actions taken on each loan in the loan pair were within a couple of days of each other. (25.) An investment property is a nonowner-occupied dwelling that is intended to be continuously rented. Some nonowner-occupied units--vacation homes and second homes--are for the primary use of the owner and would thus not be considered investment properties. The HMDA data do not, however, distinguish between these two types of nonowner-occupied dwellings. (26.) The HMDA data tend to undercount the volume of secondary-market sales somewhat. One reason is that, for example, some loans originated in 2004 will be sold to a secondary-market institution in 2005 or later and thus will never be reported as a sale. Another is that, as with other HMDA data, about 20 percent of home loans originated in 2004 were extended by lenders not covered by HMDA. (27.) GSEs are privately owned institutions that blend the characteristics of public and private institutions. They receive certain benefits from government sponsorship in exchange for their advancement of certain public policy goals such as homeownership among lower-income households and in targeted communities. (28.) See www.huduser.org/datasets/manu.html. (29.) Unless otherwise indicated, information in this section is derived from the following sources: U.S. Bureau of the Census (for HUD), American Housing Survey (formerly the Annual Housing Survey) and the Residential Finance Survey www.huduser.org/ datasets/pdrdatas.html; Manufactured Housing Institute 2004, www.manufacturedhousing.org; and U.S. Census Bureau 2000 census, www.census.gov/main/www/cen2000.html. Information on the default experience regarding loans secured by manufactured homes and on the credit history scores of individuals were derived from the June 30, 2003, credit records of a nationally representative sample of approximately 300,000 individuals (with all personal identifying information removed); the sample was obtained by the Federal Reserve Board from one of the three national credit-reporting agencies. See Robert B. Avery, Paul S. Calem, and Glenn B. Canner (2004), "Credit Report Accuracy and Access to Credit," Federal Reserve Bulletin, vol. 90 (Summer), pp. 297-322. (30.) See American Bankers Association, Consumer Credit Delinquency Bulletin, www.aba.com. (31.) To facilitate this discussion, we have adjusted the credit history scores assigned to the individuals in the Federal Reserve sample of 300,000 credit records (see text note 30) to match the distribution of the more-familiar FICO credit history scores developed by Fair Isaac Corporation, for which information is publicly available. See www.myfico.com/myfico/CreditCentral/ScoringWorks.asp. (32.) In recent years, the manufactured-home lending industry has been adversely affected by the excessive production of units in the late 1990s and the reliance on the relaxed credit underwriting that accompanied the sales of these units. See Neil J. Morse (2004), "Manufacturing the Dream," Mortgage Banking (August), pp. 50-56. (33.) As noted, the transition rules regarding the reporting of data pose difficulties for evaluating the 2004 HMDA data for manufactured homes. Consequently, applications governed by the transition rules are excluded from tables 5 and 6. Despite the reporting exceptions created by the rules, some lenders chose to report information on manufactured-home status for applications submitted before January 1, 2004. However, it is not clear whether these lenders identified all, or only some, of the pre-2004 applications for loans on manufactured homes, and so we exclude these additional data from the analysis. The 2004 data include information on applications or loans related to manufactured homes from an additional 400 or so lenders--about 4,800 in all--which indicates that some institutions chose to identify manufactured homes on applications taken during the transition period (before January 1, 2004). (34.) The income category of a purchaser is relative to the median family income of the area (MSA or statewide non-MSA) in which the property being purchased is located, and the income category of a census tract is the median family income of the tract relative to that of the area (MSA or statewide non-MSA) in which the tract is located: "Low" is less than 50 percent of the median; "moderate" is 50 percent to 79 percent (in this article, "lower income" encompasses the low and moderate categories); "middle" is 80 percent to 119 percent; and "higher" is 120 percent or more. (35.) For loans with two or more applicants, HMDA-covered lenders report data on only two. Income for two applicants is reported jointly. Although, as of 2004, applicants may choose more than one race as well as one of two ethnicities, applications are placed for the purposes of table 6 and tables 9 through 13 under only one category for race and ethnicity, generally according to the race and ethnicity of the person listed first on the application. However, under race, the application is designated as joint if one applicant reported the single designation of white and the other reported one or more minority races. If the application is not joint but more than one race is reported, the following designations are made: If at least two minority races are reported, the application is designated as two or more minority races; if the first person listed on an application reports two races, and one is white, the application is categorized under the minority race. (36.) Pre-approvals were subject to the transition rules; consequently, these numbers and the others in this section exclude applications submitted before 2004. (37.) Applications in which the lender reported that the race, ethnicity, and sex of the applicant or co-applicant were "not applicable" were assumed to have been made by businesses (including trusts) rather than by individuals. (38.) Reasons for denial are not provided for requests for pre-approvals that are denied. (39.) Analysis of the data is further complicated because loans not subject to the Federal Reserve's Regulation Z--that is, business loans--are reported with the same code as loans with spreads below the threshold. Some, perhaps most, of these loans are identifiable, however, because, as explained in text note 37, an application can be identified as being from a trust or other organization rather than from a person. (40.) See www.freddiemac.com. (41.) Reporting institutions are required to report all their lending in MSAs as well as in the nonmetropolitan portions of states. However, because institutions operating exclusively in nonmetropolitan areas are not covered by HMDA, loans in nonmetropolitan areas are underrepresented in the data. For this reason, the geographic analysis here is focused on MSAs. (42.) In November 2004, the OMB redesignated this Texas MSA as McAllen-Edinburg-Mission (see www.whitehouse.gov/omb/bulletins/ fy05/b05-02_attachment.pdf). (43.) For example, if a homeowner takes out a HOEPA-covered loan to pay off outstanding credit card debt or some other type of consumer credit, and the loan does not involve the refinancing of an existing home loan or home improvement, then the loan is not covered by Regulation C and is thus not required to be part of an institution's HMDA reporting. (44.) The HMDA data also include information on loans purchased by covered institutions during 2004: Among purchased loans, about 2,700 were designated as HOEPA loans. (45.) The analysis was not conducted for unsecured loans because pricing data were not collected for these loans. Eleven other product areas were not used because they accounted for so few loans that matching was difficult. (46.) The action date on an application is used to determine the reporting year for HMDA data. The gap between the application date and the action date is generally shorter for denied applications than for originated loans. For example, applications received and acted upon in December (and therefore reported in HMDA for that year) are more likely to be denials than acceptances. Similarly, applications acted upon in January but received in the previous year are more likely to be acceptances. In analyzing denial rates for 2004, excluding applications covered by the transition period (that is, applications received before 2004) is therefore likely to disproportionately exclude acceptances. This can be seen in the memo item in table 7, where the denial rates are lower for applications filed during the transition period. For this reason, transition-period applications are included in the denial-rate analysis in tables 9 and 14. (47.) Larger depository institutions covered by the CRA (generally those with assets of $250 million or more) are required to identify the census tracts in their CRA assessment areas as of the end of each calendar year. That information was used to determine which loans in the HMDA data were for properties within the lenders' CRA assessment areas. When lenders were part of a bank holding company, the combined assessment areas of all banks in the holding company were used for the analysis. For a definition of "assessment area," see note 4 to box "Reasons for Loan Price Variation." The identification of specialists in high-priced lending was based solely on the incidence of higher-priced loans for non-Hispanic whites. This restriction prevented the identification from being affected by differences between the pricing outcomes of blacks and Hispanics, on the one hand, and those of non-Hispanic whites, on the other. (48.) The eight subprime mortgage lenders are subsidiaries of large financial institutions. The 2004 data from these lenders consist of about 626,000 loans that they originated; more than 60 percent of the loans in that group are higher-priced. The data from these subprime lenders have been used in various research initiatives and public policy deliberations. (49.) Only loans with complete information on all relevent factors were used in the analysis. Loans with missing information for any factor had a somewhat lower incidence of higher-priced lending than did the loans used in the analysis. (50.) Black and Hispanic borrowers were selected for this review because these groups generally showed the greatest differences from non-Hispanic whites. The groups were combined to have sufficient numbers for a meaningful statistical comparison. The "Hispanic" category used here includes all borrowers designated as Hispanic regardless of their race. This definition differs from that used in the previous section, which restricted the category of "Hispanics" to white Hispanics. (51.) The eight products are virtually the same as those portrayed in table 9 with the modifications of (1) adding refinance and home-improvement first liens to the manufactured-housing product area and (2) combining the home-improvement and junior-lien refinancing products and expanding the category to include government-backed loans. Combining products for this exercise was done purely for the purpose of paralleling the way products are grouped in the Federal Reserve's statistical analysis system. The key product areas are identical to those used for tables 7 and 8. The product groupings do not affect the actual matching procedure because minority borrowers are always matched with non-Hispanic white borrowers with exactly the same product as defined using all the information available in HMDA. Transition-period applications were used in the denial-rate comparison but not in the comparisons for pricing. (52.) The expanded HMDA data can be used to roughly differentiate the pricing of an institution's retail lending operations from the pricing of loans obtained from other channels by comparing the locations of borrowers with the locations of an institution's assessment areas. Loans outside an institution's assessment areas are more likely to have been initiated by third-party brokers or through other indirect channels. (53.) The estimated monthly loan payment is derived from HMDA data using the reported loan amount and an estimated APR that assumes a fixed-rate thirty-year loan. (54.) Founded in 1973, MICA is the trade association for the PMI industry. The FFIEC prepares disclosure statements for each of the PMI companies. The statements are available at the corporate headquarters of each company and at a central depository in each MSA in which HMDA data are held. The central depository also holds aggregate data for all the PMI companies active in that MSA. In addition, the PMI data are available from the Federal Reserve Board through its HMDA Assistance Line (202-452-2016). Robert B. Avery and Glenn B. Canner, of the Division of Research and Statistics, and Robert E. Cook, of the Division of Consumer and Community Affairs, prepared this article. Shannon C. Mok and Caitlin G. Coslett provided research assistance. Patricia J. Dykes and Sylvia A. Freeland assisted in preparing the 2004 HMDA data for analysis.
1. Distribution of home lenders covered by HMDA,
by type of institution, 2004
Type Number Percent
Depository institution
Commercial bank 3,946 44.6
Savings institution 1,017 11.5
Credit union 2,030 22.9
All 6,993 79.0
Mortgage company
Independent 1,464 16.5
Affiliated (1) 396 4.5
All 1,860 21.0
All institutions 8,853 100
(1.) Subsidiary of a depository institution or an affiliate
of a bank holding company.
SOURCE: In this and subsequent tables except as noted, Federal
Financial Institutions Examination Council, data reported under the
Home Mortgage Disclosure Act (www.ffiec.gov/hmda).
2. Home loan and reporting activity of home lenders covered
under HMDA, 1990-2004
Number
Applications received for home loans, and home
loans purchased from other lenders
(millions)
Applications
Home Home
Year purchase Refinance improvement Total (1)
1990 3.27 1.07 1.16 5.51
1991 3.26 2.11 1.18 6.55
1992 3.54 5.24 1.23 10.01
1993 4.52 7.72 1.40 13.64
1994 5.20 3.80 1.69 10.69
1995 5.51 2.70 1.75 9.96
1996 6.33 4.54 2.14 13.01
1997 6.75 5.39 2.16 14.30
1998 7.96 11.42 2.04 21.43
1999 8.43 9.37 2.05 19.85
2000 8.28 6.54 1.99 16.81
2001 7.69 14.29 1.85 23.83
2002 7.40 17.48 1.53 26.41
2003 8.15 24.60 1.51 34.26
2004 9.79 16.10 2.20 28.13
Applications received
for home loans, and home
loans purchased from
other lenders (millions)
Loans Disclosure
Year purchased Total Reporters reports (2)
1990 1.15 6.66 9,332 24,041
1991 1.36 7.91 9,358 25,934
1992 1.98 12.00 9,073 28,782
1993 1.80 15.44 9,650 35,976
1994 1.48 12.17 9,858 38,750
1995 1.28 11.24 9,539 36,611
1996 1.82 14.83 9,328 42,946
1997 2.08 16.38 7,925 47,416
1998 3.23 24.65 7,836 57,294
1999 3.01 22.86 7,832 56,966
2000 2.40 19.21 7,713 52,776
2001 3.77 27.59 7,631 53,066
2002 4.83 31.24 7,771 56,506
2003 7.23 41.49 8,121 65,808
2004 5.14 33.27 8,853 72,246
NOTE: Here and in all subsequent tables except tables 3 and 8,
applications exclude requests for pre-approval that were denied by the
lender or were accepted by the lender but not acted upon by the
borrower.
In this article, applications are defined as being for a loan on a
specific property; they are thus distinct from requests for
pre-approval, which are not related to a specific property.
(1.) Applications for multifamily homes are included only in the
"total" column; for 2004 these applications numbered about 62,000.
(2.) A report covers the mortgage lending activity of a lender in a
single metropolitan statistical area in which it had an office during
the year.
3. Distribution of home lenders covered by HMDA, by type of lender
and the number of applications they receive, 2004
Number of applications
1-99
Type of lender,
and subcategory
(asset size in millions of Percent of Percent of
dollars, or affiliation) type (1) subcategory (2)
Depository institution
Commercial bank
Less than 250 80.2 56.7
250-999 16.4 24.5
1,000 or more 3.4 13.4
All 100 42.8
Savings institution
Less than 250 85.1 40.9
250-999 10.7 7.2
1,000 or more 4.1 6.5
All 100 23.8
Credit union
Less than 250 96.9 62.9
250-999 3.0 7.6
1,000 or more .1 1.0
All 100 49.1
All depository institutions
Less than 250 86.3 57.1
250-999 11.4 17.7
1,000 or more 2.3 10.0
All 100 41.9
Mortgage company
Independent 78.9 21.5
Affiliated 21.1 21.2
All 100 21.4
All lenders ... 37.6
MEMO
All applications, by number reported
by lender ... .5
Number of applications
100-249
Type of lender,
and subcategory
(asset size in millions of Percent of Percent of
dollars, or affiliation) type (1) subcategory (2)
Depository institution
Commercial bank
Less than 250 71.4 31.6
250-999 25.9 24.2
1,000 or more 2.7 6.6
All 100 26.8
Savings institution
Less than 250 71.2 35.7
250-999 25.3 17.8
1,000 or more 3.6 5.8
All 100 24.9
Credit union
Less than 250 84.7 27.5
250-999 14.7 18.4
1,000 or more .6 3.0
All 100 24.5
All depository institutions
Less than 250 75.1 30.6
250-999 22.7 21.8
1,000 or more 2.2 5.9
All 100 25.9
Mortgage company
Independent 75.0 10.7
Affiliated 13.1 13.1
All 88.1 11.2
All lenders ... 22.8
MEMO
All applications, by number reported
by lender ... 1.2
Number of applications
250-999
Type of lender,
and subcategory
(asset size in millions of Percent of Percent of
dollars, or affiliation) type (1) subcategory (2)
Depository institution
Commercial bank
Less than 250 31.3 11.0
250-999 57.2 42.4
1,000 or more 11.5 22.6
All 100 21.2
Savings institution
Less than 250 30.6 20.4
250-999 60.8 57.1
1,000 or more 8.6 18.8
All 100 33.1
Credit union
Less than 250 35.9 9.3
250-999 58.0 58.3
1,000 or more 6.0 24.0
All 100 19.6
All depository institutions
Less than 250 32.3 11.5
250-999 58.2 48.5
1,000 or more 9.5 22.0
All 100 22.5
Mortgage company
Independent 83.3 26.2
Affiliated 16.7 19.4
All 100 24.8
All lenders ... 23.0
MEMO
All applications, by number reported
by lender ... 3.6
Number of applications
1,000-4,999
Type of lender,
and subcategory
(asset size in millions of Percent of Percent of
dollars, or affiliation) type (1) subcategory (2)
Depository institution
Commercial bank
Less than 250 6.3 .7
250-999 35.7 8.6
1,000 or more 58.1 37.3
All 100 6.9
Savings institution
Less than 250 11.0 2.8
250-999 48.0 17.0
1,000 or more 40.9 33.8
All 100 12.5
Credit union
Less than 250 3.1 .3
250-999 47.7 15.4
1,000 or more 49.2 63.0
All 100 6.3
All depository institutions
Less than 250 6.6 .8
250-999 41.6 11.6
1,000 or more 51.8 40.3
All 100 7.5
Mortgage company
Independent 81.8 27.3
Affiliated 18.2 22.5
All 100 26.2
All lenders ... 11.5
MEMO
All applications, by number reported
by lender ... 7.6
Number of applications
5,000 or more
Type of lender,
and subcategory
(asset size in millions of Percent of Percent of
dollars, or affiliation) type (1) subcategory (2)
Depository institution
Commercial bank
Less than 250 1.1 .0
250-999 4.4 .4
1,000 or more 94.4 20.1
All 100 2.3
Savings institution
Less than 250 1.7 .2
250-999 5.2 .8
1,000 or more 93.1 35.1
All 100 5.7
Credit union
Less than 250 .0 .0
250-999 10.0 .3
1,000 or more 90.0 9.0
All 100 .5
All depository institutions
Less than 250 1.3 .1
250-999 5.1 .4
1,000 or more 93.7 21.8
All 100 2.3
Mortgage company
Independent 69.2 14.4
Affiliated 30.8 23.7
All 100 16.4
All lenders ... 5.2
MEMO
All applications, by number reported
by lender ... 87.1
Number of applications
Any
Type of lender,
and subcategory
(asset size in millions of Percent of Percent of
dollars, or affiliation) type (1) subcategory (2)
Depository institution
Commercial bank
Less than 250 60.6 100
250-999 28.7 100
1,000 or more 10.8 100
All 100 100
Savings institution
Less than 250 49.6 100
250-999 35.3 100
1,000 or more 15.1 100
All 100 100
Credit union
Less than 250 75.6 100
250-999 19.5 100
1,000 or more 4.9 100
All 100 100
All depository institutions
Less than 250 63.3 100
250-999 27.0 100
1,000 or more 9.7 100
All 100 100
Mortgage company
Independent 78.7 100
Affiliated 21.3 100
All 100 100
All lenders ... 100
MEMO
All applications, by number reported
by lender ... 100
MEMO
Type of lender,
and subcategory
(asset size in millions of Number of Percent of
dollars, or affiliation) lenders applications
Depository institution
Commercial bank
Less than 250 2,391 1.1
250-999 1,131 1.8
1,000 or more 424 19.6
All 3,946 22.5
Savings institution
Less than 250 504 .4
250-999 359 .9
1,000 or more 154 11.9
All 1,017 13.2
Credit union
Less than 250 1,534 .6
250-999 396 .9
1,000 or more 100 1.1
All 2,030 2.5
All depository institutions
Less than 250 4,429 2.2
250-999 1,886 3.5
1,000 or more 678 32.6
All 6,993 38.3
Mortgage company
Independent 1,464 44.2
Affiliated 396 17.6
All 1,860 61.7
All lenders 8,853 100
MEMO
All applications, by number reported
by lender ... 100
NOTE: See table 1, note 1, and general note to table 2.
(1.) Distribution sums vertically.
(2.) Distribution sums horizontally.
... Not applicable.
4. Distribution of home loan applications and home loans,
by purpose, lien status, and type of loan and by type and
occupancy status of home, 2004
Application
One- to four-family home
Site built
Owner occupied
Loan category Nonowner
(purpose and Percent occupied,
lien status) of loan Percent percent
and loan type category of loan of loan
(government-backed (1) type (2) category
or conventional) (1)
Home purchase
First lien
Government backed
FHA 8.3 94.2 .1
VA 2.3 97.8 *
FSA/RHS .4 98.9 *
Conventional 89.0 94.3 99.9
Total 100 94.4 100
MEMO: Number 6,899,878 1,156,788
Junior lien
Government backed
FHA .1 96.1 *
VA * 99.4 *
FSA/RHS * 100 *
Conventional 99.8 99.6 100
Total 100 99.6 100
MEMO: Number 1,134,740 83,626
Refinance
First lien
Government backed
FHA 2.5 97.2 .6
VA 1.0 98.8 .6
FSA/RHS * 96.4 *
Conventional 96.5 98.1 98.8
Total 100 98.1 100
MEMO: Number 13,695,847 975,583
Junior lien
Government backed
FHA .1 98.2 .1
VA * 100 *
FSA/RHS * 100 *
Conventional 99.9 99.1 99.9
Total 100 99.1 100
MEMO: Number 1,003,316 24,991
Home improvement
First lien
Government backed
FHA .5 95.2 .1
VA .1 97.8 *
FSA/RHS * 100 *
Conventional 99.4 97.4 99.9
Total 100 97.4 100
MEMO: Number 727,677 58,664
Junior lien
Government backed
FHA .6 99.7 .9
VA * 100 *
FSA/RHS * 100 *
Conventional 99.4 98.7 99.1
Total 100 98.7 100
MEMO: Number 950,082 17,049
Unsecured
Government backed
FHA .4 96.0 .1
VA * 100 *
FSA/RHS * 100 *
Conventional 99.6 97.2 99.9
Total 100 97.2 100
MEMO: Number 372,385 21,780
MEMO: Total number 24,783,925 2,338,481
Application
One- to four-family home
Manufactured
Owner occupied
Loan category Nonowner
(purpose and Percent occupied,
lien status) of loan Percent percent
and loan type category of loan of loan
(government-backed (1) type (2) category
or conventional) (1)
Home purchase
First lien
Government backed
FHA 8.6 5.8 .1
VA .9 2.2 *
FSA/RHS .1 1.2 *
Conventional 90.5 5.7 99.9
Total 100 5.6 100
MEMO: Number 411,500 26,640
Junior lien
Government backed
FHA 1.5 3.9 .2
VA * .6 *
FSA/RHS * * *
Conventional 98.5 .4 99.8
Total 100 .4 100
MEMO: Number 4,126
Refinance
First lien
Government backed
FHA 3.7 2.8 .3
VA .6 1.2 .3
FSA/RHS * 3.6 *
Conventional 95.7 1.9 99.4
Total 100.0 1.9 100
MEMO: Number 266,184 10,020
Junior lien
Government backed
FHA .2 1.9 1.1
VA * * *
FSA/RHS * * *
Conventional 99.9 .9 98.9
Total 100 .9 100
MEMO: Number 8,703 267
Home improvement
First lien
Government backed
FHA 1.0 4.9 .4
VA .1 2.2 *
FSA/RHS * * *
Conventional 98.9 2.6 99.6
Total 100 2.7 100
MEMO: Number 19,784 1,275
Junior lien
Government backed
FHA .1 .3 1.1
VA * * *
FSA/RHS * * *
Conventional 99.9 1.3 99.0
Total 100 1.3 100
MEMO: Number 12,702 191
Unsecured
Government backed
FHA .6 4.0 .3
VA * * *
FSA/RHS * * *
Conventional 99.5 2.8 99.7
Total 100 2.8 100
MEMO: Number 10,785 713
MEMO: Total number 733,784 39,556
Application
One- to four-family home
Total
Owner occupied
Loan category Nonowner Multifamily
(purpose and Percent occupied, home,
lien status) of loan Percent percent percent
and loan type category of loan of loan of loan
(government-backed (1) type (2) category category
or conventional) (1) (1)
Home purchase
First lien
Government backed
FHA 8.3 100 .1 .5
VA 2.2 100 * *
FSA/RHS .4 100 * *
Conventional 89.1 100 99.9 99.5
Total 100 100 100 100
MEMO: Number 7,311,378 1,183,428 28,345
Junior lien
Government backed
FHA .1 100 * .1
VA * 100 * *
FSA/RHS * 100 * *
Conventional 99.8 100 100 99.9
Total 100 100 100 100
MEMO: Number 1,138,866 84,076 795
Refinance
First lien
Government backed
FHA 2.6 100 .6 .8
VA 1.0 100 .6 *
FSA/RHS * 100 * *
Conventional 96.4 100 98.8 99.2
Total 100 100 100 100
MEMO: Number 13,962,031 985,603 27,558
Junior lien
Government backed
FHA .1 100 .1 .2
VA * 100 * *
FSA/RHS * 100 * *
Conventional 99.9 100 99.9 99.8
Total 100 100 100 100
MEMO: Number 1,012,019 25,258 887
Home improvement
First lien
Government backed
FHA .6 100 .1 *
VA .1 100 * *
FSA/RHS * 100 * *
Conventional 99.4 100 99.9 100
Total 100 100 100 100
MEMO: Number 747,461 59,939 2,751
Junior lien
Government backed
FHA .6 100 .9 .1
VA * 100 * *
FSA/RHS * 100 * *
Conventional 99.4 100 99.1 99.9
Total 100 100 100 100
MEMO: Number 962,784 17,240 1,070
Unsecured
Government backed
FHA .4 100 .1 *
VA * 100 * *
FSA/RHS * 100 * *
Conventional 99.6 100 99.9 100
Total 100 100 100 100
MEMO: Number 383,170 22,493 489
MEMO: Total number 25,517,709 2,378,037 61,895
Loans
One- to four-family home
Site built
Owner occupied
Loan category Nonowner
(purpose and Percent occupied,
lien status) of loan Percent percent
and loan type category of loan of loan
(government-backed (1) type (2) category
or conventional) (1)
Home purchase
First lien
Government backed
FHA 8.8 95.1 .1
VA 2.6 97.9 *
FSA/RHS .5 99.0 *
Conventional 88.2 97.5 99.9
Total 100 97.3 100
MEMO: Number 4,654,243 811,816
Junior lien
Government backed
FHA .1 96.8 *
VA * 99.1 *
FSA/RHS * 100 *
Conventional 99.8 99.7 100
Total 100 99.7 100
MEMO: Number 735,361 50,362
Refinance
First lien
Government backed
FHA 3.2 97.3 .5
VA 1.5 98.7 .7
FSA/RHS * 96.8 *
Conventional 95.4 98.8 98.8
Total 100 98.7 100
MEMO: Number 6,405,770 578,753
Junior lien
Government backed
FHA * 98.0 *
VA * 100 *
FSA/RHS * 100 *
Conventional 99.9 99.4 100
Total 100 99.4 100
MEMO: Number 461,649 11,430
Home improvement
First lien
Government backed
FHA .7 96.4 .1
VA .1 98.5 *
FSA/RHS * 100 *
Conventional 99.3 97.7 99.9
Total 100 97.7 100
MEMO: Number 352,066 35,835
Junior lien
Government backed
FHA .6 99.6 .6
VA * 100 *
FSA/RHS * 100 *
Conventional 99.4 98.8 99.3
Total 100 98.8 100
MEMO: Number 393,226 7,058
Unsecured
Government backed
FHA .4 95.4 .1
VA * 100 *
FSA/RHS * 100 *
Conventional 99.6 97.1 99.6
Total 100 97.1 100
MEMO: Number 147,510 6,302
MEMO: Total number 13,149,825 1,501,556
Loans
One- to four-family home
Manufactured
Owner occupied
Loan category Nonowner
(purpose and Percent occupied,
lien status) of loan Percent percent
and loan type category of loan of loan
(government-backed (1) type (2) category
or conventional) (1)
Home purchase
First lien
Government backed
FHA 16.4 4.9 .1
VA 2.0 2.1 *
FSA/RHS .2 1.0 *
Conventional 81.5 2.5 99.9
Total 100 2.7 100
MEMO: Number 129,150 15,272
Junior lien
Government backed
FHA 1.4 3.2 *
VA * .9 *
FSA/RHS * * *
Conventional 98.6 .3 100
Total 100 .3 100
MEMO: Number 2,510 285
Refinance
First lien
Government backed
FHA 6.7 2.7 .2
VA 1.5 1.3 .4
FSA/RHS * 3.2 *
Conventional 91.8 1.2 99.5
Total 100 1.3 100
MEMO: Number 83,946 5,980
Junior lien
Government backed
FHA .1 2.0 .7
VA * * *
FSA/RHS * * *
Conventional 99.9 .6 99.3
Total 100 .6 100
MEMO: Number 2,814 138
Home improvement
First lien
Government backed
FHA 1.1 3.6 .4
VA .1 1.5 *
FSA/RHS * * *
Conventional 98.9 2.3 99.6
Total 100 2.3 100
MEMO: Number 8,249 787
Junior lien
Government backed
FHA .2 .4 2.7
VA * * *
FSA/RHS * * *
Conventional 99.8 1.2 97.3
Total 100 1.2 100
MEMO: Number 4,599 75
Unsecured
Government backed
FHA .6 4.6 *
VA * * *
FSA/RHS * * *
Conventional 99.4 2.9 100
Total 100 2.9 100
MEMO: Number 4,399 267
MEMO: Total number 235,667 22,804
Loans
One- to four-family home
Total
Owner occupied
Loan category Nonowner Multifamily
(purpose and Percent occupied, home,
lien status) of loan Percent percent percent
and loan type category of loan of loan of loan
(government-backed (1) type (2) category category
or conventional) (1) (1)
Home purchase
First lien
Government backed
FHA 9.0 100 .1 .5
VA 2.5 100 * *
FSA/RHS .4 100 * *
Conventional 88.0 100 99.9 99.5
Total 100 100 100 100
MEMO: Number 4,783,393 827,088 22,247
Junior lien
Government backed
FHA .2 100 * .2
VA * 100 * *
FSA/RHS * 100 * *
Conventional 99.8 100 100 99.8
Total 100 100 100 100
MEMO: Number 737,871 50,647 625
Refinance
First lien
Government backed
FHA 3.2 100 .5 .8
VA 1.5 100 .7 *
FSA/RHS * 100 * *
Conventional 95.3 100 98.8 99.2
Total 100 100 100 100
MEMO: Number 6,489,716 584,733 21,703
Junior lien
Government backed
FHA * 100 * .3
VA * 100 * *
FSA/RHS * 100 * *
Conventional 99.9 100 99.9 99.7
Total 100 100 100 100
MEMO: Number 464,463 11,568 580
Home improvement
First lien
Government backed
FHA .7 100 .1 *
VA .1 100 * *
FSA/RHS * 100 * *
Conventional 99.3 100 99.9 100
Total 100 100 100 100
MEMO: Number 360,315 36,622 2,058
Junior lien
Government backed
FHA .6 100 .7 .2
VA * 100 * *
FSA/RHS * 100 * *
Conventional 99.4 100 99.3 99.9
Total 100 100 100 100
MEMO: Number 397,825 7,133 653
Unsecured
Government backed
FHA .4 100 .1 *
VA * 100 * *
FSA/RHS * 100 * *
Conventional 99.6 100 99.9 100
Total 100 100 100 100
MEMO: Number 151,909 6,569 284
MEMO: Total number 13,385,492 1,524,360 48,150
NOTE: For one- to four-family homes, excludes applications for which
occupancy status was missing.
FHA Federal Housing Administration VA Veterans Administration
FSA/RHS Farm Service Agency and Rural Housing Service
(1.) Distribution sums verticaly.
(2.) Distribution sums horizontally.
* Less than 0.05 percent.
5. Distribution of loans on manufactured homes, by type of loan
and type of home lender, 2004
Home purchase
First lien Junior lien
Percent Percent Percent Percent
of of of of
Type of lender loan lender loan lender
type (1) type (2) type (1) type (2)
Government backed
Depository institution
Commercial bank 28.1 5.2 18.8 *
Savings institution 7.5 10.1 12.5 *
Credit union .1 .3 * *
Mortgage company
Independent 45.6 11.2 59.4 *
Affiliated 18.8 18.0 9.4 *
All lenders 100 8.6 100 *
MEMO
Number of loans 20,909 32
Refinance
First lien Junior lien
Percent Percent Percent Percent
of of of of
Type of lender loan lender loan lender
type (1) type (2) type (1) type (2)
Government backed
Depository institution
Commercial bank 22.5 1.2 * *
Savings institution 7.9 3.1 25.0 *
Credit union .2 .1 25.0 *
Mortgage company
Independent 55.3 3.9 50.0 *
Affiliated 14.1 3.8 * *
All lenders 100 2.5 100 *
MEMO
Number of loans 5,940 4
Home improvement
First lien Junior lien
Percent Percent Percent Percent
of of of of
Type of lender loan lender loan lender
type (1) type (2) type (1) type (2)
Government backed
Depository institution
Commercial bank 45.5 * 50.0 *
Savings institution 4.6 * 30.0 *
Credit union * * 20.0 *
Mortgage company
Independent 18.2 * * *
Affiliated 31.8 .1 * *
All lenders 100 * 100 *
MEMO
Number of loans 88 10
Home improvement
Unsecured
Percent Percent
of of
Type of lender loan lender
type (1) type (2)
Government backed
Depository institution
Commercial bank 92.9 *
Savings institution * *
Credit union 3.6 *
Mortgage company
Independent 3.6 *
Affiliated * *
All lenders 100 *
MEMO
Number of loans 28
Home purchase
First lien Junior lien
Percent Percent Percent Percent
of of of of
Type of lender loan lender loan lender
type (1) type (2) type (1) type (2)
Conventional
Depository institution
Commercial bank 48.4 49.1 24.2 .6
Savings institution 6.9 50.9 3.4 .6
Credit union 3.0 44.6 17.8 6.2
Mortgage company
Independent 35.9 48.2 51.2 1.6
Affiliated 5.8 30.2 3.4 .4
All lenders 100 47.1 100 1.1
MEMO
Number of loans 114,021 2,653
Refinance
First lien Junior lien
Percent Percent Percent Percent
of of of of
Type of lender loan lender loan lender
type (1) type (2) type (1) type (2)
Conventional
Depository institution
Commercial bank 45.8 31.6 41.9 1.1
Savings institution 5.8 29.0 6.2 1.2
Credit union 3.5 35.9 7.0 2.7
Mortgage company
Independent 33.4 30.5 36.6 1.3
Affiliated 11.5 40.9 8.3 1.1
All lenders 100 32.0 100 1.2
MEMO
Number of loans 77,571 2,908
Home improvement
First lien Junior lien
Percent Percent Percent Percent
of of of of
Type of lender loan lender loan lender
type (1) type (2) type (1) type (2)
Conventional
Depository institution
Commercial bank 61.6 4.8 63.9 2.6
Savings institution 5.5 3.1 3.9 1.2
Credit union 3.5 4.0 6.2 3.8
Mortgage company
Independent 21.2 2.2 19.0 1.0
Affiliated 8.2 3.3 7.0 1.5
All lenders 100 3.6 100 1.9
MEMO
Number of loans 8,739 4,633
Home improvement
Unsecured
Percent Percent MEMO
of of Number
Type of lender loan lender of
type (1) type (2) loans
Conventional
Depository institution
Commercial bank 89.7 3.7 112,385
Savings institution 2.5 .8 15,391
Credit union 4.0 2.5 7,632
Mortgage company
Independent .3 * 84,940
Affiliated 3.5 .8 21,849
All lenders 100 1.9 242,197
MEMO
Number of loans 4,661 242,197
NOTE: Excludes transition-period loans (those for which the
application was submitted before 2004). For definition of
manufactured home, see text note 9. See also table 1, note 1.
(1.) Distribution sums vertically.
(2.) Distribution sums horizontally.
* Less than 0.05 percent.
6. Distribution of home-purchase loans for one- to four-family
owner-occupied homes, by characteristic of borrower and of
census tract and by type of home, 2004
Site built Manufactured
Percent of Percent of
Characteristic charac- Percent of charac-
and status teristic (1) status (2) teristic (1)
BORROWER (3)
Income ratio (percent
of area median)
Less than 50 4.7 93.3 12.2
50-79 18.9 95.8 29.1
80-119 29.4 97.2 30.1
120 or more 46.9 98.3 28.7
Total (4) 100 97.3 100
Race
American Indian or .8 96.1 1.2
Alaska Native
Asian 4.9 99.7 .5
Black or African 7.1 97.9 5.4
American
Native Hawaiian or .5 98.3 .3
other Pacific Islander
White 74.9 96.9 84.4
Two or more minority .1 97.9 .1
races
Joint 1.4 98.0 1.0
Missing (5) 10.4 98.1 7.2
Total 100 97.3 100
Ethnicity
Hispanic or Latino 11.2 98.2 7.4
Not Hispanic or Latino 76.4 97.1 82.1
Joint (6) 1.3 97.9 1.0
Missing (5) 11.1 97.7 9.5
Total 100 97.3 100
Minority status
Minority 26.0 98.3 15.9
Non-Hispanic white 62.6 96.8 73.7
Missing (5) 11.4 97.5 10.3
Total 100 97.3 100
CENSUS TRACT OF PROPERTY
Income ratio (percent
of area median)
Less than 50 1.6 99.1 .5
50-79 13.2 96.7 16.8
80-119 49.2 96.2 71.4
120 or more 36.0 99.1 11.4
Total (4) 100 97.3 100
Racial or ethnic
composition
(minorities as
percentage of
population)
Less than 10 32.5 96.5 43.4
10-19 22.9 97.6 21.1
20-49 27.7 97.5 25.7
50-79 10.2 98.0 7.6
80-100 6.6 99.1 2.2
Total (4) 100 97.3 100
Location
Central city 38.5 98.8 17.1
Noncentral city 52.7 97.6 47.3
Rural or only state 8.8 90.0 35.6
known
Total (4) 100 97.3 100
Manufac-
tured Total
Percent of
Characteristic Percent of charac- Percent of
and status status (2) teristic (1) status
BORROWER (3)
Income ratio (percent
of area median)
Less than 50 6.8 4.9 100
50-79 4.2 19.2 100
80-119 2.8 29.5 100
120 or more 1.7 46.4 100
Total (4) 2.8 100 100
Race
American Indian or 3.9 .8 100
Alaska Native
Asian .3 4.7 100
Black or African 2.1 7.0 100
American
Native Hawaiian or 1.7 .5 100
other Pacific Islander
White 3.1 75.2 100
Two or more minority 2.1 .1 100
races
Joint 2.0 1.4 100
Missing (5) 1.9 10.3 100
Total 2.8 100 100
Ethnicity
Hispanic or Latino 1.8 11.1 100
Not Hispanic or Latino 2.9 76.6 100
Joint (6) 2.1 1.3 100
Missing (5) 2.4 11.1 100
Total 2.8 100 100
Minority status
Minority 1.7 25.7 100
Non-Hispanic white 3.2 62.9 100
Missing (5) 2.5 11.4 100
Total 2.8 100 100
CENSUS TRACT OF PROPERTY
Income ratio (percent
of area median)
Less than 50 .9 1.5 100
50-79 3.4 13.3 100
80-119 3.8 49.8 100
120 or more .9 35.3 100
Total (4) 2.7 100 100
Racial or ethnic
composition
(minorities as
percentage of
population)
Less than 10 3.5 32.8 100
10-19 2.5 22.9 100
20-49 2.5 27.7 100
50-79 2.0 10.2 100
80-100 0.9 6.5 100
Total (4) 2.7 100 100
Location
Central city 1.2 38.0 100
Noncentral city 2.4 52.5 100
Rural or only state 10.0 9.5 100
known
Total (4) 2.7 100 100
Characteristic MEMO
and status Number
BORROWER (3)
Income ratio (percent
of area median)
Less than 50 205,771
50-79 798,602
80-119 1,227,091
120 or more 1,933,772
Total (4) 4,165,236
Race
American Indian or 36,650
Alaska Native
Asian 206,716
Black or African 305,432
American
Native Hawaiian or 23,246
other Pacific Islander
White 3,280,354
Two or more minority 3,282
races
Joint 59,524
Missing (5) 447,970
Total 4,363,174
Ethnicity
Hispanic or Latino 483,253
Not Hispanic or Latino 3,341,979
Joint (6) 55,914
Missing (5) 482,028
Total 4,363,174
Minority status
Minority 1,120,646
Non-Hispanic white 2,745,937
Missing (5) 496,591
Total 4,363,174
CENSUS TRACT OF PROPERTY
Income ratio (percent
of area median)
Less than 50 65,777
50-79 575,070
80-119 2,149,842
120 or more 1,524,643
Total (4) 4,315,332
Racial or ethnic
composition
(minorities as
percentage of
population)
Less than 10 1,417,201
10-19 988,062
20-49 1,193,394
50-79 438,175
80-100 279,509
Total (4) 4,316,341
Location
Central city 1,642,184
Noncentral city 2,272,738
Rural or only state 411,822
known
Total (4) 4,326,744
NOTE: Excludes transition-period loans (those for which the application
was submitted before 2004). For definition of income categories for
borrower and census tract, see text note 34. Census tract is for the
property securing the loan. Categories for race and ethnicity reflect
the revised standards established in 1997 by the Office of Management
and Budget (OMB); for details, see text discussion. The term minority
means Hispanic or Latino ethnicity or any race other than white.
Census-tract data reflect the 2000 decennial census; they also reflect
definitions for metropolitan statistical areas established by the OMB
in June 2003 and used in HMDA for the first time in the 2004 data
(see note 2 in main-text box "Distribution of HMDA Data and Pre-2004
Requirements of Regulation C").
(1.) Distribution sums vertically.
(2.) Distribution sums horizontally.
(3.) For details on the identification of borrower income, race,
and ethnicity, see text note 35.
(4.) Excludes loans for the information for the characteristic was
missing on the application.
(5.) Information for the characteristic was missing on the
application.
(6.) On the applications for these loans, one applicant reported
"Hispanic or Latino," and the other reported "not Hispanic or Latino."
7. Disposition of applications for home loans, and origination
and pricing of loans, by type of home and type of loan, 2004
Applications
Acted upon by lender
Number Number
Type of home and loan submitted Number denied
ONE- TO FOUR-FAMILY
Nonbusiness related (4)
Owner occupied
Site built
Home purchase
Conventional
First lien 5,559,099 4,938,892 737,756
Junior lien 1,072,726 964,662 164,750
Government backed
First lien 652,281 583,299 79,253
Junior lien 1,563 1,254 171
Refinance
Conventional
First lien 12,261,720 9,641,212 2,973,609
Junior lien 954,842 785,067 270,594
Government backed
First lien 427,105 347,785 51,661
Junior lien 766 451 172
Home improvement
Conventional
First lien 706,594 619,012 224,727
Junior lien 915,901 784,857 332,508
Government backed
First lien 3,876 3,361 820
Junior lien 5,505 4,899 2,372
Conventional or government-
Backed, unsecured 364,947 348,629 182,505
Manufactured
Conventional, first lien
Home purchase 359,129 347,524 186,618
Refinance 239,999 201,876 104,276
Other 99,144 88,765 33,661
Nonowner occupied (5)
Conventional, first lien
Home purchase 1,112,330 1,003,071 156,925
Refinance 937,424 808,515 193,158
Other 234,450 208,729 70,590
Business related (4)
Conventional, first lien
Home purchase 54,944 50,213 3,062
Refinance 55,051 47,590 5,952
Other 29,115 26,444 3,638
MULTIFAMILY (6)
Conventional, first lien
Home purchase 24,593 22,599 2,372
Refinance 23,424 21,619 2,306
Other 5,662 5,067 954
Total 26,102,190 21,855,392 5,784,410
Applications Loans originated
Loans
with
annual
Acted upon percentage
by lender rate (APR)
spread
above the
threshold
(1)
Percent
Type of home and loan denied Number Number
ONE- TO FOUR-FAMILY
Nonbusiness related (4)
Owner occupied
Site built
Home purchase
Conventional
First lien 14.9 3,745,490 432,364
Junior lien 17.1 701,078 270,688
Government backed
First lien 13.6 479,498 6,298
Junior lien 13.6 1,036 29
Refinance
Conventional
First lien 30.8 5,708,965 884,108
Junior lien 34.5 439,495 120,500
Government backed
First lien 14.9 269,349 4,084
Junior lien 38.1 268 12
Home improvement
Conventional
First lien 36.3 339,836 74,584
Junior lien 42.4 376,785 65,185
Government backed
First lien 24.4 2,350 90
Junior lien 48.4 2,142 1,133
Conventional or government-
Backed, unsecured 52.3 143,856 ...
Manufactured
Conventional, first lien
Home purchase 53.7 98,864 56,498
Refinance 51.7 71,508 34,171
Other 37.9 48,565 9,807
Nonowner occupied (5)
Conventional, first lien
Home purchase 15.6 760,796 92,715
Refinance 23.9 539,758 75,537
Other 33.8 122,321 36,442
Business related (4)
Conventional, first lien
Home purchase 6.1 45,339 4,244
Refinance 12.5 38,922 3,997
Other 13.8 21,427 1,952
MULTIFAMILY (6)
Conventional, first lien
Home purchase 10.5 19,294 861
Refinance 10.7 18,468 886
Other 18.8 3,942 279
Total 26.5 13,999,352 2,176,464
Loans originated
Loans with annual
percentage rate (APR)
spread above the
threshold (1)
Percent
distribution,
by percentage
points of
APR spread
Type of home and loan Percent 3-3.99 4-4.99
ONE- TO FOUR-FAMILY
Nonbusiness related (4)
Owner occupied
Site built
Home purchase
Conventional
First lien 11.5 58.0 27.5
Junior lien 38.6 ... ...
Government backed
First lien 1.3 58.3 24.4
Junior lien 2.8 ... ...
Refinance
Conventional
First lien 15.5 23.9 28.1
Junior lien 27.4 ... ...
Government backed
First lien 1.5 69.5 19.8
Junior lien 4.5 ... ...
Home improvement
Conventional
First lien 21.9 49.0 25.9
Junior lien 17.3 ... ...
Government backed
First lien 3.8 48.9 21.1
Junior lien 52.9 ... ...
Conventional or government-
Backed, unsecured ... ... ...
Manufactured
Conventional, first lien
Home purchase 57.1 22.9 21.8
Refinance 47.8 32.9 27.3
Other 20.2 24.3 13.4
Nonowner occupied (5)
Conventional, first lien
Home purchase 12.2 59.0 26.8
Refinance 14.0 53.4 27.4
Other 29.8 10.7 5.9
Business related (4)
Conventional, first lien
Home purchase 9.4 49.9 24.7
Refinance 10.3 45.7 29.0
Other 9.1 6.3 4.7
MULTIFAMILY (6)
Conventional, first lien
Home purchase 4.5 60.2 23.2
Refinance 4.8 58.8 23.5
Other 7.1 14.0 10.8
Total 15.5 41.4 21.3
Loans originated
Loans with annual percentage
rate (APR) spread above
the threshold (1)
Percent distribution,
by percentage points
of APR spread
Type of home and loan 5-6.99 7-8.99 9 or more
ONE- TO FOUR-FAMILY
Nonbusiness related (4)
Owner occupied
Site built
Home purchase
Conventional
First lien 13.2 1.2 .2
Junior lien 76.2 21.7 2.1
Government backed
First lien 12.7 4.3 .3
Junior lien 69.0 17.2 13.8
Refinance
Conventional
First lien 15.7 2.2 .2
Junior lien 58.3 28.9 12.9
Government backed
First lien 9.4 1.0 .3
Junior lien 58.3 41.7 0
Home improvement
Conventional
First lien 19.4 4.5 1.1
Junior lien 41.5 27.9 30.7
Government backed
First lien 21.1 7.8 1.1
Junior lien 23.1 29.3 47.6
Conventional or government-
Backed, unsecured ... ... ...
Manufactured
Conventional, first lien
Home purchase 32.4 16.8 6.0
Refinance 28.9 8.2 2.8
Other 30.5 16.4 15.4
Nonowner occupied (5)
Conventional, first lien
Home purchase 11.6 1.8 .8
Refinance 16.4 2.4 .5
Other 50.9 25.6 6.8
Business related (4)
Conventional, first lien
Home purchase 20.7 3.5 1.2
Refinance 21.6 3.2 .5
Other 64.3 20.9 3.8
MULTIFAMILY (6)
Conventional, first lien
Home purchase 13.9 2.1 .6
Refinance 16.0 1.4 .3
Other 57.7 15.1 2.5
Total 27.2 7.7 2.5
Loans originated
Loans with annual
percentage rate (APR)
spread above the
threshold (1)
APR spread
(percentage
points)
Number of
HOEPA-
covered
Type of home and loan Mean Median loans (2)
ONE- TO FOUR-FAMILY
Nonbusiness related (4)
Owner occupied
Site built
Home purchase
Conventional
First lien 4.1 3.8 ...
Junior lien 6.4 6.2 ...
Government backed
First lien 4.2 3.9 ...
Junior lien 7.1 6.0 ...
Refinance
Conventional
First lien 4.2 3.9 7,249
Junior lien 7.3 6.7 3,987
Government backed
First lien 3.9 3.6 496
Junior lien 6.7 6.6 2
Home improvement
Conventional
First lien 4.4 4.0 1,965
Junior lien 8.0 7.6 5,046
Government backed
First lien 4.7 4.0 4
Junior lien 9.2 8.9 1,002
Conventional or government-
Backed, unsecured ... ... ...
Manufactured
Conventional, first lien
Home purchase 5.7 5.2 ...
Refinance 5.0 4.6 1,830
Other 6.4 5.5 904
Nonowner occupied (5)
Conventional, first lien
Home purchase 4.1 3.8 ...
Refinance 4.2 3.9 612
Other 6.4 6.1 218
Business related (4)
Conventional, first lien
Home purchase 4.4 4.0 ...
Refinance 4.4 4.1 104
Other 6.2 6.1 29
MULTIFAMILY (6)
Conventional, first lien
Home purchase 4.1 3.7 ...
Refinance 4.1 3.8 29
Other 5.9 5.8 7
Total 4.8 4.3 23,484
MEMO
Transition-period applications
(those submitted before 2004)
Number Number Percent
Type of home and loan submitted denied denied (3)
ONE- TO FOUR-FAMILY
Nonbusiness related (4)
Owner occupied
Site built
Home purchase
Conventional
First lien 490,846 41,115 9.9
Junior lien 47,351 5,230 13.4
Government backed
First lien 85,896 8,172 11.5
Junior lien 226 16 9.8
Refinance
Conventional
First lien 813,761 106,316 18.5
Junior lien 36,965 6,184 21.6
Government backed
First lien 49,849 6,008 15.9
Junior lien 63 6 21.4
Home improvement
Conventional
First lien 13,773 1,733 14.6
Junior lien 21,962 4,342 24.0
Government backed
First lien 391 74 25.0
Junior lien 273 67 30.9
Conventional or government-
Backed, unsecured 4,881 1,209 27.1
Manufactured
Conventional, first lien
Home purchase 9,595 1,177 13.8
Refinance 12,252 2,370 25.0
Other 6,679 722 12.5
Nonowner occupied (5)
Conventional, first lien
Home purchase 84,952 7,864 10.8
Refinance 82,569 11,682 17.3
Other 8,684 1,120 15.7
Business related (4)
Conventional, first lien
Home purchase 87,425 11,520 14.9
Refinance 117,852 25,941 25.4
Other 42,414 7,973 22.0
MULTIFAMILY (6)
Conventional, first lien
Home purchase 3,607 169 5.2
Refinance 3,920 262 7.3
Other 689 35 5.6
Total 2,026,875 251,307 15.7
MEMO
Transition-period applications
(those submitted before 2004)
Loans originated
Percent
with Number of
APR spread HOEPA-
above covered
Type of home and loan Number threshold loans (2)
ONE- TO FOUR-FAMILY
Nonbusiness related (4)
Owner occupied
Site built
Home purchase
Conventional
First lien 303,881 5.1 ...
Junior lien 26,475 23.1 ...
Government backed
First lien 56,693 .7 ...
Junior lien 134 2.2 ...
Refinance
Conventional
First lien 333,550 10.7 322
Junior lien 16,479 23.7 177
Government backed
First lien 23,485 .8 106
Junior lien 19 0 ...
Home improvement
Conventional
First lien 7,912 14.6 63
Junior lien 10,646 13.0 158
Government backed
First lien 189 3.7 ...
Junior lien 88 43.2 17
Conventional or government-
Backed, unsecured 2,132 ... ...
Manufactured
Conventional, first lien
Home purchase 5,003 22.2 ...
Refinance 4,590 21.2 41
Other 4,308 4.9 24
Nonowner occupied (5)
Conventional, first lien
Home purchase 53,019 7.8 ...
Refinance 42,145 9.1 34
Other 4,739 24.9 6
Business related (4)
Conventional, first lien
Home purchase 50,885 5.7 ...
Refinance 54,936 10.5 36
Other 21,444 9.8 121
MULTIFAMILY (6)
Conventional, first lien
Home purchase 2,838 3.1 ...
Refinance 3,060 3.0 3
Other 548 2.7 2
Total 1,029,198 8.4 1,110
NOTE: Excludes transition-period applications (those submitted before
2004) and transition-period loans (those for which the application
was submitted before 2004).
(1.) APR spread is the difference between the APR on the loan and
the yield on a comparable-maturity Treasury security. The threshold
for first-lien loans is a spread of 3 percentage points; for
junior-lien loans, it is a spread of 5 percentage points.
(2.) Loans covered by the Home Ownership and Equity Protection Act of
1994, which does not apply to home-purchase loans (for details, see
text).
(3.) Number denied divided by number (not shown) acted upon.
(4.) Business-related applications and loans are those for which the
lender reported that the race, ethnicity, and sex of the applicant or
co-applicant are "not applicable"; all other applications and loans
are nonbusiness related.
(5.) Includes applications and loans for which occupancy status was
missing.
(6.) Includes business-related and nonbusiness-related applications
and loans for owner-occupied and nonowner-occupied properties.
... Not applicable
8. Home-purchase lending that began with a request for pre-approval:
Disposition and pricing, by type of home, 2004
Request for pre-approval
Number Number Percent
Type of home submitted denied denied (2)
ONE- TO FOUR-FAMILY
NONBUSINESS RELATED
Owner occupied
Site built
Conventional
First lien 684,306 153,773 22.5
Junior lien 88,793 15,423 17.4
Government backed
First lien 100,118 26,682 26.7
Junior lien 147 35 23.8
Manufactured
Conventional, first lien 39,791 23,838 59.9
Other 3,714 935 25.2
Nonowner occupied
Conventional, first lien 84,763 15,252 18.0
Other 7,003 1,067 15.2
BUSINESS RELATED
Conventional, first lien 3,667 350 9.5
Other 1,540 117 7.6
MULTIFAMILY
Conventional, first lien 226 29 12.8
Other 16 4 25.0
Total 1,014,084 237,505 23.4
Applications preceded by
requests for pre-approval (1)
Acted upon
by lender
Number Number
Type of home submitted Number denied
ONE- TO FOUR-FAMILY
NONBUSINESS RELATED
Owner occupied
Site built
Conventional
First lien 448,771 396,998 34,665
Junior lien 67,757 61,771 4,728
Government backed
First lien 71,632 64,214 7,218
Junior lien 118 99 13
Manufactured
Conventional, first lien 37,592 35,700 22,039
Other 2,912 2,351 419
Nonowner occupied
Conventional, first lien 58,101 51,548 5,457
Other 5,953 5,040 487
BUSINESS RELATED
Conventional, first lien 3,317 2,791 244
Other 1,419 1,208 90
MULTIFAMILY
Conventional, first lien 207 186 14
Other 14 13 2
Total 697,793 621,919 75,376
Loan originations whose applications were
preceded by requests for pre-approval
Loans with annual percentage
Rate (APR) spread
Above the threshold (3)
Percent
distribution
by percentage
points of APR
spread
Type of home Number Number Percent 3-3.99 4-4.99
ONE- TO FOUR-FAMILY
NONBUSINESS RELATED
Owner occupied
Site built
Conventional
First lien 332,804 27,340 8.2 49.2 28.4
Junior lien 52,671 14,865 28.2 ... ...
Government backed
First lien 53,527 662 1.2 34.1 7.4
Junior lien 83 7 8.4 ... ...
Manufactured
Conventional, first lien 7,430 4,735 63.7 19.6 23.4
Other 1,787 94 5.3 20.2 0
Nonowner occupied
Conventional, first lien 41,564 3,478 8.4 48.0 21.8
Other 4,000 1,307 32.7 0 0
BUSINESS RELATED
Conventional, first lien 2,417 364 15.1 36.8 19.8
Other 1,079 149 13.8 0.7 0
MULTIFAMILY
Conventional, first lien 167 19 11.4 47.4 31.6
Other 11 6 54.5 0 0
Total 497,540 53,026 10.7 31.0 18.4
Loan originations whose applications were
preceded by requests for pre-approval
Loans with annual percentage rate (APR)
spread above the threshold (3)
Percent distribution APR spread
by percentage points of (percentage
APR spread points)
Type of home 5-6.99 7-8.99 9 or more Mean Median
ONE- TO FOUR-FAMILY
NONBUSINESS RELATED
Owner occupied
Site built
Conventional
First lien 20.0 2.0 .5 4.3 4.0
Junior lien 81.3 16.7 2.0 6.2 6.0
Government backed
First lien 29.5 28.5 .5 5.6 6.3
Junior lien 71.4 14.3 14.3 6.4 5.3
Manufactured
Conventional, first lien 33.5 15.2 8.3 5.8 5.3
Other 77.7 2.1 0 5 5.3
Nonowner occupied
Conventional, first lien 17 7.7 5.4 4.8 4.0
Other 53.8 38.5 7.7 7 6.8
BUSINESS RELATED
Conventional, first lien 31 8.2 4.1 5.1 4.6
Other 82.6 11.4 5.4 6.4 6.3
MULTIFAMILY
Conventional, first lien 10.5 0 10.5 5.1 4.1
Other 50 50 0 6.8 6.9
Total 39.5 9 2.1 5.1 5.0
MEMO
Applications with
transition-period requests
for pre-approval (request
submitted before 2004)
Number Number
Type of home Number denied denied (2)
ONE- TO FOUR-FAMILY
NONBUSINESS RELATED
Owner occupied
Site built
Conventional
First lien 20,444 731 4.3
Junior lien 1,269 37 3.4
Government backed
First lien 5,866 351 7.2
Junior lien 11 1 10.0
Manufactured
Conventional, first lien 172 23 18.4
Other 508 26 6.5
Nonowner occupied
Conventional, first lien 2,406 107 5.4
Other 184 8 5.8
BUSINESS RELATED
Conventional, first lien 1,800 75 4.6
Other 570 21 4.2
MULTIFAMILY
Conventional, first lien 16 0 0
Other 1 0 0
Total 33,247 1,380 5
MEMO
Applications with
transition-period requests
for pre-approval (request
submitted before 2004)
Loans originated
Percent
with APR
spread
above
Type of home Number threshold
ONE- TO FOUR-FAMILY
NONBUSINESS RELATED
Owner occupied
Site built
Conventional
First lien 13,382 3.8
Junior lien 919 9.6
Government backed
First lien 3,770 1.4
Junior lien 9 0
Manufactured
Conventional, first lien 91 22.0
Other 335 0
Nonowner occupied
Conventional, first lien 1,493 4.8
Other 81 18.5
BUSINESS RELATED
Conventional, first lien 1,393 3.2
Other 450 4.7
MULTIFAMILY
Conventional, first lien 15 6.7
Other 1 0
Total 21,939 3.8
NOTE: Excludes transition-period requests for pre-approval (those
submitted before 2004). See also notes 4, 5, and 6 of table 7
for details on business-related, nonowner-occupied, and
multifamily properties and general note to table 2.
(1.) These applications are included in the total of 26,102,190
reported in table 7.
(2.) Number denied divided by number (not shown) acted upon.
(3.) See table 7, note 1.
... Not applicable.
9. Unadjusted and adjusted denial rates on applications for loans on
one- to four-family homes, by type of loan and by race and ethnicity
and sex of applicant, 2004
A. Home purchase, owner-occupied site-built home
Percent except as noted
Conventional
First lien
Race and ethnicity Adjusted denial rate,
and sex by adjustment factor
Number Unadjusted
of denial Borrower-
applications rate Borrower- related
related plus
lender
Race and ethnicity
American Indian or
Alaska Native 42,460 21.1 20.4 15.7
Asian 288,060 13.5 12.7 12.9
Black or African
American 402,090 24.7 22.3 18.2
Native Hawaiian or
other Pacific
Islander 30,866 17.5 15.3 15.4
Two or more
minority races 3,768 13.8 12.3 15.7
Joint 64,744 12.0 15.0 12.4
Race missing 696,276 21.8 20.1 15.1
Hispanic white 423,395 18.4 15.8 14.8
Non-Hispanic white 3,309,353 10.9 10.9 10.9
Sex
One male 1,636,413 16.8 16.8 16.8
One female 1,217,287 16.0 15.3 15.8
Two males 55,264 15.6 15.6 15.6
Two females 45,100 15.2 14.0 14.4
Conventional
Junior lien
Race and ethnicity Adjusted denial rate,
and sex by adjustment factor
Number Unadjusted
of denial Borrower-
applications rate Borrower- related
related plus
lender
Race and ethnicity
American Indian or
Alaska Native 11,211 22.7 22.6 18.3
Asian 48,970 18.6 17.4 16.3
Black or African
American 96,741 21.9 21.2 18.8
Native Hawaiian or
other Pacific
Islander 9,312 18.3 17.2 15.6
Two or more
minority races 975 12.5 11.8 15.5
Joint 12,224 13.1 15.3 13.8
Race missing 156,504 20.4 19.6 17.7
Hispanic white 124,483 20.0 18.0 16.0
Non-Hispanic white 532,260 13.7 13.7 13.7
Sex
One male 344,552 18.7 18.7 18.7
One female 235,350 18.3 18.2 18.4
Two males 11,311 18.3 18.3 18.3
Two females 8,591 17.5 16.4 16.1
Government backed, first lien
Race and ethnicity Adjusted denial rate,
and sex by adjustment factor
Number Unadjusted
of denial Borrower-
applications rate Borrower- related
related plus
lender
Race and ethnicity
American Indian or
Alaska Native 6,425 15.5 14.4 14.7
Asian 7,645 12.4 12.2 13.2
Black or African
American 85,845 17.2 16.9 16.0
Native Hawaiian or
other Pacific
Islander 3,629 13.8 12.9 11.7
Two or more
minority races 534 15.4 15.8 12.1
Joint 12,807 9.6 12.5 11.8
Race missing 63,179 20.0 17.0 16.6
Hispanic white 59,172 15.6 13.8 13.5
Non-Hispanic white 396,856 10.4 10.4 10.4
Sex
One male 195,671 14.0 14.0 14.0
One female 133,456 14.4 13.2 13.5
Two males 13,409 11.2 11.2 11.2
Two females 9,121 12.1 10.9 11.8
B. Refinance, owner-occupied site-built home
Percent except as noted
Conventional
First lien
Race and ethnicity Adjusted denial rate,
and sex by adjustment factor
Number Unadjusted
of denial Borrower-
applications rate Borrower- related
related plus
lender
Race and ethnicity
American Indian or
Alaska Native 93,068 38.2 40.1 32.3
Asian 321,978 18.7 25.7 27.3
Black or African
American 897,836 41.9 39.8 32.4
Native Hawaiian or
other Pacific
Islander 55,859 29.7 33.5 31.2
Two or more
minority races 8,340 28.2 32.9 31.3
Joint 108,225 25.7 33.0 27.3
Race missing 2,084,368 43.9 47.3 32.3
Hispanic white 639,075 29.6 31.3 28.6
Non-Hispanic white 5,916,294 24.3 24.3 24.3
Sex
One male 2,683,328 35.1 35.1 35.1
One female 2,161,057 32.2 31.0 32.8
Two males 69,113 26.9 26.9 26.9
Two females 78,731 30.1 27.0 26.1
Conventional
Junior lien
Race and ethnicity Adjusted denial rate,
and sex by adjustment factor
Number Unadjusted
of denial Borrower-
applications rate Borrower- related
related plus
lender
Race and ethnicity
American Indian or
Alaska Native 6,529 40.8 38.6 34.9
Asian 20,194 33.1 36.1 35.2
Black or African
American 54,132 44.5 42.2 37.3
Native Hawaiian or
other Pacific
Islander 4,518 36.3 36.3 37.3
Two or more
minority races 704 31.5 37.3 39.8
Joint 9,382 28.9 33.9 31.7
Race missing 193,182 43.8 41.1 35.2
Hispanic white 38,892 37.9 37.0 33.8
Non-Hispanic white 475,471 28.4 28.4 28.4
Sex
One male 179,812 37.4 37.4 37.4
One female 131,172 37.9 35.5 36.0
Two males 5,471 32.7 32.7 32.7
Two females 5,370 34.4 32.8 34.2
Government backed, first lien
Race and ethnicity Adjusted denial rate,
and sex by adjustment factor
Number Unadjusted
of denial Borrower-
applications rate Borrower- related
related plus
lender
Race and ethnicity
American Indian or
Alaska Native 3,222 15.7 13.8 13.3
Asian 3,698 15.0 15.4 16.1
Black or African
American 69,607 17.6 18.5 17.2
Native Hawaiian or
other Pacific
Islander 2,204 12.2 12.0 14.1
Two or more
minority races 442 13.6 13.6 14.3
Joint 7,857 11.0 13.8 14.0
Race missing 55,907 21.4 17.8 17.1
Hispanic white 29,182 15.8 15.1 16.2
Non-Hispanic white 206,851 12.4 12.4 12.4
Sex
One male 91,609 16.1 16.1 16.1
One female 71,666 16.1 15.2 16.3
Two males 4,995 17.4 17.4 17.4
Two females 4,740 15.5 14.6 14.7
C. Home improvement, conventional loan, owner-occupied site-built home
Percent except as noted
First lien
Race and ethnicity Number Unadjusted
and sex of denial
applications rate
Race and ethnicity
American Indian or Alaska Native 8,843 47.1
Asian 15,204 27.8
Black or African American 67,098 49.1
Native Hawaiian or other
Pacific Islander 4,402 38.3
Two or more minority races 677 41.5
Joint 6,832 32.6
Race missing 102,716 53.0
Hispanic white 54,319 37.5
Non-Hispanic white 360,959 28.6
Sex
One male 159,817 43.4
One female 143,959 38.4
Two males 5,024 39.1
Two females 5,788 38.4
First lien
Race and ethnicity Adjusted denial rate,
and sex by adjustment factor
Borrower- Borrower-
related related
plus lender
Race and ethnicity
American Indian or Alaska Native 47.1 40.3
Asian 34.8 33.4
Black or African American 47.2 41.7
Native Hawaiian or other
Pacific Islander 42.7 38.9
Two or more minority races 43.0 40.7
Joint 40.2 34.1
Race missing 56.0 39.5
Hispanic white 37.7 36.2
Non-Hispanic white 28.6 28.6
Sex
One male 43.4 43.4
One female 37.0 39.9
Two males 39.1 39.1
Two females 37.5 34.6
Junior lien
Race and ethnicity Number Unadjusted
and sex of denial
applications rate
Race and ethnicity
American Indian or Alaska Native 7,712 54.7
Asian 16,276 46.1
Black or African American 62,045 60.1
Native Hawaiian or other
Pacific Islander 4,538 50.1
Two or more minority races 656 62.0
Joint 10,842 40.6
Race missing 159,984 49.6
Hispanic white 39,529 51.4
Non-Hispanic white 494,636 36.3
Sex
One male 189,244 51.1
One female 143,026 50.0
Two males 5,588 46.3
Two females 6,261 44.3
Junior lien
Race and ethnicity Adjusted denial rate,
and sex by adjustment factor
Borrower-
Borrower- related
related plus lender
Race and ethnicity
American Indian or Alaska Native 48.2 47.3
Asian 45.7 44.3
Black or African American 55.6 52.0
Native Hawaiian or other
Pacific Islander 46.4 43.8
Two or more minority races 57.0 48.8
Joint 47.1 42.2
Race missing 48.4 42.1
Hispanic white 46.4 45.1
Non-Hispanic white 36.3 36.3
Sex
One male 51.1 51.1
One female 47.3 49.4
Two males 46.3 46.3
Two females 42.9 44.9
D. Manufactured housing, conventional loan, first lien,
owner-occupied home
Percent except as noted
Home purchase
Number Unadjusted
Race and ethnicity of denial
and sex applications rate
Race and ethnicity
American Indian or Alaska Native 4,785 57.3
Asian 1,736 44.4
Black or African American 28,363 64.2
Native Hawaiian or other
Pacific Islander 1,351 57.3
Two or more minority races 121 68.6
Joint 3,398 53.5
Race missing 33,385 60.9
Hispanic white 20,820 55.1
Non-Hispanic white 238,698 48.0
Sex
One male 101,964 52.7
One female 82,536 54.9
Two males 4,483 50.3
Two females 5,766 56.7
Home purchase
Adjusted denial rate,
by adjustment factor
Borrower-
Race and ethnicity Borrower- related
and sex related plus lender
Race and ethnicity
American Indian or Alaska Native 55.9 52.7
Asian 44.1 40.2
Black or African American 62.4 57.7
Native Hawaiian or other
Pacific Islander 55.2 50.2
Two or more minority races 63.5 74.7
Joint 58.3 57.5
Race missing 58.4 54.7
Hispanic white 55.9 52.5
Non-Hispanic white 48.0 48.0
Sex
One male 52.7 52.7
One female 52.3 52.1
Two males 50.3 50.3
Two females 53.4 49.9
Refinance
Number Unadjusted
Race and ethnicity of denial
and sex applications rate
Race and ethnicity
American Indian or Alaska Native 1,670 58.0
Asian 641 49.5
Black or African American 9,535 63.9
Native Hawaiian or other
Pacific Islander 346 59.8
Two or more minority races 73 56.2
Joint 1,549 50.7
Race missing 39,237 64.2
Hispanic white 6,760 51.0
Non-Hispanic white 149,366 46.2
Sex
One male 54,294 52.8
One female 39,726 52.7
Two males 1,271 43.2
Two females 1,792 50.0
Refinance
Adjusted denial rate,
by adjustment factor
Borrower-
Race and ethnicity Borrower- related
and sex related plus lender
Race and ethnicity
American Indian or Alaska Native 57.9 51.5
Asian 48.4 51.6
Black or African American 61.6 53.8
Native Hawaiian or other
Pacific Islander 60.3 56.5
Two or more minority races 68.4 50.2
Joint 50.4 47.9
Race missing 68.5 52.7
Hispanic white 51.3 49.3
Non-Hispanic white 46.2 46.2
Sex
One male 52.8 52.8
One female 52.1 52.9
Two males 43.2 43.2
Two females 51.4 43.3
E. Nonowner-occupied site-built home
Percent except as noted
Conventional, first lien
Home purchase
Adjusted denial rate,
by adjustment factor
Borrower-
Race and ethnicity Number Unadjusted Borrower- related
and sex of appli- denial related plus
cations rate lender
Race and ethnicity
American Indian or
Alaska Native 6,881 37.5 28.5 16.2
Asian 48,246 15.0 13.3 12.9
Black or African
American 80,051 24.1 19.6 17.1
Native Hawaiian or
other Pacific
Islander 5,127 18.2 15.6 13.3
Two or more
minority races 600 14.8 13.1 10.8
Joint 11,839 11.1 13.4 12.6
Race missing 123,905 18.2 17.2 14.2
Hispanic white 56,912 18.7 14.9 14.2
Non-Hispanic white 659,022 11.0 11.0 11.0
Sex
One male 318,461 17.2 17.2 17.2
One female 164,107 17.5 16.3 16.3
Two males 25,564 10.7 10.7 10.7
Two females 8,813 12.2 9.6 10.8
Conventional, first lien
Refinance
Borrower-
Race and ethnicity Number Unadjusted Borrower- related
and sex of appli- denial related plus
cations rate lender
lender
Race and ethnicity
American Indian or
Alaska Native 5,674 30.5 30.5 27.0
Asian 30,317 20.4 22.3 22.2
Black or African
American 87,234 30.6 28.6 25.4
Native Hawaiian or
other Pacific
Islander 4,401 24.8 25.2 26.4
Two or more
minority races 661 24.4 28.3 30.6
Joint 7,957 18.1 23.0 20.1
Race missing 132,928 32.5 30.9 26.2
Hispanic white 44,640 26.8 24.4 22.7
Non-Hispanic white 484,333 17.8 17.8 17.8
Sex
One male 264,494 24.5 24.5 24.5
One female 143,972 25.5 24.0 23.8
Two males 13,387 16.2 16.2 16.2
Two females 5,283 21.5 17.6 14.9
Conventional, first lien
Other
Adjusted denial rate,
by adjustment factor
Borrower-
Race and ethnicity Number Unadjusted Borrower- related
and sex of appli- denial related plus
cations rate lender
lender
Race and ethnicity
American Indian or
Alaska Native 2,183 49.7 44.5 38.9
Asian 6,716 30.0 32.1 28.4
Black or African
American 26,017 44.8 38.4 34.1
Native Hawaiian or
other Pacific
Islander 1,611 40.5 33.7 32.4
Two or more
minority races 214 42.1 33.5 46.2
Joint 2,293 24.7 31.9 27.5
Race missing 31,499 40.3 37.6 31.5
Hispanic white 14,508 37.9 34.9 31.8
Non-Hispanic white 133,098 25.5 25.5 25.5
Sex
One male 74,353 33.6 33.6 33.6
One female 43,267 39.3 34.6 33.6
Two males 4,006 24.0 24.0 24.0
Two females 1,881 35.3 29.5 24.6
NOTE: Includes transition-period applications (those submitted before
2004); for explanation, see text note 46. For explanation of
adjustment factors, see text. For method of allocation into racial
and ethnic categories and definitions of categories, see general
note to table 6 and text note 35. Applications made jointly by a male
and female are not tabulated here because they would not be directly
comparable with applications made by one applicant or by two applicants
of the same sex.
(1.) "Other" consists of government-backed loans of all types, junior
liens, home-improvement loans, and unsecured loans.
10. Unadjusted and adjusted incidence of higher-priced lending for
loans on one- to four-family homes, by type of loan and by race and
ethnicity and sex of borrower, 2004
A. Home purchase, owner-occupied site-built home
Percent except as noted
Conventional
First lien
Adjusted incidence
by adjustment factor
Borrower-
Number related
Race and ethnicity of Unadjusted Borrower- plus
and sex loans incidence related lender
Race and ethnicity
American Indian or
Alaska Native 28,107 18.1 17.2 11.8
Asian 199,359 5.9 7.4 8.1
Black or African
American 232,688 32.4 26.7 15.7
Native Hawaiian or
other Pacific
Islander 20,293 15.7 16.3 11.1
Two or more
minority races 2,613 22.9 22.2 12.2
Joint 47,299 6.9 10.8 9.4
Race missing 390,136 13.4 16.8 11.1
Hispanic white 301,915 20.3 16.6 11.6
Non-Hispanic white 2,476,255 8.7 8.7 8.7
Sex
One male 1,129,781 15.3 15.3 15.3
One female 850,213 15.3 14.4 15.0
Two males 38,170 9.5 9.5 9.5
Two females 31,083 10.4 9.0 9.8
Conventional
Junior lien
Adjusted incidence
by adjustment factor
Borrower-
Number related
Race and ethnicity of Unadjusted Borrower- plus
and sex loans incidence related lender
Race and ethnicity
American Indian or
Alaska Native 7,618 50.2 47.5 33.6
Asian 32,444 34.4 30.8 29.9
Black or African
American 62,434 61.9 58.3 37.1
Native Hawaiian or
other Pacific
Islander 6,195 49.6 44.9 33.5
Two or more
minority races 699 43.2 44.3 26.6
Joint 9,090 29.3 36.7 31.3
Race missing 96,140 40.7 43.5 33.2
Hispanic white 87,612 58.0 49.9 35.1
Non-Hispanic white 394,357 30.4 30.4 30.4
Sex
One male 237,097 46.1 46.1 46.1
One female 162,680 47.8 46.9 46.7
Two males 7,879 34.4 34.4 34.4
Two females 6,064 37.3 34.5 35.2
Government backed, first lien
Adjusted incidence,
by adjustment factor
Borrower-
Number related
Race and ethnicity of Unadjusted Borrower- plus
and sex loans incidence related lender
Race and ethnicity
American Indian or
Alaska Native 4,751 4.9 4.1 1.1
Asian 5,402 2.5 1.7 .8
Black or African
American 59,275 1.5 1.3 1.1
Native Hawaiian or
other Pacific
Islander 2,373 2.3 1.6 1.4
Two or more
minority races 400 20.5 17.0 1.2
Joint 10,035 1.1 1.1 1.4
Race missing 35,547 1.4 1.3 0.9
Hispanic white 47,055 2.1 1.1 1.1
Non-Hispanic white 304,809 1.1 1.1 1.1
Sex
One male 145,275 1.3 1.3 1.3
One female 98,428 1.6 1.5 1.3
Two males 10,094 1.2 1.2 1.2
Two females 6,716 1.2 1.3 1.1
B. Refinance, owner-occupied site-built home
Percent except as noted
Conventional
First lien
Adjusted incidence,
by adjustment factor
Borrower-
Race and ethnicity Number Unadjusted Borrower- related
and sex of incidence related plus
loans lender
Race and ethnicity
American Indian or
Alaska Native 44,503 20.2 21.0 14.7
Asian 207,114 5.9 9.7 12.1
Black or African
American 391,524 34.6 29.5 17.6
Native Hawaiian or
other Pacific
Islander 31,381 16.4 18.6 14.5
Two or more
minority races 5,089 21.1 22.4 15.0
Joint 67,199 10.4 14.7 13.5
Race missing 827,590 19.3 25.4 15.3
Hispanic white 378,826 19.3 18.5 14.3
Non-Hispanic white 3,698,309 12.9 12.9 12.9
Sex
One male 1,360,350 18.6 18.6 18.6
One female 1,173,835 19.8 18.5 18.7
Two males 40,012 12.1 12.1 12.1
Two females 43,208 17.3 14.5 13.4
Conventional
Junior lien
Adjusted incidence,
by adjustment factor
Borrower-
Race and ethnicity Number Unadjusted Borrower- related
and sex of incidence related plus
loans lender
Race and ethnicity
American Indian or
Alaska Native 2,981 26.8 24.4 26.1
Asian 10,519 25.4 24.9 24.3
Black or African
American 24,292 45.2 41.3 26.4
Native Hawaiian or
other Pacific
Islander 2,267 35.8 33.2 24.6
Two or more
minority races 394 19.3 25.4 24.7
Joint 5,609 23.3 26.5 24.8
Race missing 82,329 32.7 42.1 24.8
Hispanic white 20,687 35.1 28.7 25.2
Non-Hispanic white 285,505 23.9 23.9 23.9
Sex
One male 90,991 34.0 34.0 34.0
One female 67,266 32.6 32.6 33.9
Two males 3,024 23.6 23.6 23.6
Two females 2,887 31.7 26.6 22.6
Government backed, first lien
Adjusted incidence,
by adjustment factor
Borrower-
Race and ethnicity Number Unadjusted Borrower- related
and sex of incidence related plus
loans lender
Race and ethnicity
American Indian or
Alaska Native 2,216 4.4 4.2 1.0
Asian 2,348 3.9 2.0 1.0
Black or African
American 46,603 1.0 1.2 1.5
Native Hawaiian or
other Pacific
Islander 1,547 6.1 4.1 1.4
Two or more
minority races 347 18.7 19.6 2.3
Joint 6,100 .9 1.1 1.2
Race missing 30,603 2.0 2.0 1.3
Hispanic white 21,804 1.9 1.2 1.4
Non-Hispanic white 152,619 1.3 1.3 1.3
Sex
One male 63,536 1.4 1.4 1.4
One female 49,282 1.7 1.6 1.4
Two males 3,103 2.2 2.2 2.2
Two females 3,053 1.8 1.5 1.6
C. Home improvement, conventional loan, owner-occupied site-built
home
Percent except as noted
First lien
Adjusted incidence
by adjustment factor
Borrower-
Number related
Race and ethnicity of Unadjusted Borrower- plus
and sex loans incidence related lender
Race and ethnicity
American Indian or
Alaska Native 3,775 23.4 25.8 22.5
Asian 8,907 8.4 16.3 18.8
Black or African
American 27,677 42.5 39.2 24.6
Native Hawaiian or
other Pacific
Islander 2,237 17.7 22.4 21.9
Two or more
minority races 341 22.3 22.6 18.6
Joint 3,894 15.5 20.7 19.2
Race missing 36,877 21.5 32.2 21.4
Hispanic white 28,395 26.7 27.6 21.0
Non-Hispanic white 221,213 29.5 19.5 19.5
Sex
One male 74,062 26.1 26.1 26.1
One female 74,479 27.0 25.8 26.5
Two males 2,545 17.2 17.2 17.2
Two females 3,053 23.9 18.5 21.2
Junior lien
Adjusted incidence
by adjustment factor
Borrower-
Number related
Race and ethnicity of Unadjusted Borrower- plus
and sex loans incidence related lender
Race and ethnicity
American Indian or
Alaska Native 2,628 18.8 17.4 17.5
Asian 6,467 13.9 15.1 16.6
Black or African
American 19,520 37.9 31.3 18.0
Native Hawaiian or
other Pacific
Islander 1,749 26.5 22.6 16.9
Two or more
minority races 193 16.6 15.1 14.1
Joint 5,280 15.2 18.3 16.3
Race missing 61,005 17.4 23.1 15.9
Hispanic white 15,464 21.0 20.0 16.5
Non-Hispanic white 259,771 15.6 15.6 15.6
Sex
One male 71,519 24.4 24.4 24.4
One female 57,771 22.3 21.4 23.6
Two males 2,390 19.1 19.1 19.1
Two females 2,807 19.0 18.1 19.2
D. Manufactured housing, conventional loan, first lien, owner-occupied
home
Percent except as noted
Home purchase
Adjusted incidence,
by adjustment factor
Borrower-
Number Un- related
Race and ethnicity of adjusted Borrower- plus
and sex loans incidence related lender
Race and ethnicity
American Indian or
Alaska Native 1,168 68.2 58.3 54.8
Asian 537 62.8 62.6 61.9
Black or African American 5,175 78.5 64.8 60.0
Native Hawaiian or other
Pacific Islander 315 70.8 69.2 65.3
Two or more minority
races 21 47.6 51.2 57.0
Joint 918 58.3 56.8 60.3
Race missing 6,535 57.2 56.6 55.4
Hispanic white 5,598 67.5 65.2 60.7
Non-Hispanic white 76,324 54.7 54.7 54.7
Sex
One male 28,100 61.0 61.0 61.0
One female 22,177 60.5 60.2 59.8
Two males 1,566 65.1 65.1 65.1
Two females 1,547 65.0 64.6 65.1
Refinance
Adjusted incidence,
by adjustment factor
Borrower-
Number related
Race and ethnicity of Unadjusted Borrower- plus
and sex loans incidence related lender
Race and ethnicity
American Indian or
Alaska Native 513 51.9 53.5 50.6
Asian 210 42.9 47.8 56.0
Black or African American 2,316 67.7 56.1 50.1
Native Hawaiian or other
Pacific Islander 102 48.0 44.5 45.5
Two or more minority
races 26 42.3 54.3 -9.8
Joint 568 41.2 49.3 48.7
Race missing 7,420 59.0 51.6 46.3
Hispanic white 2,274 46.2 56.7 50.0
Non-Hispanic white 56,713 46.0 46.0 46.0
Sex
One male 17,181 48.6 48.6 48.6
One female 12,772 49.8 49.0 49.2
Two males 560 56.3 56.3 56.3
Two females 622 47.3 50.8 53.6
E. Nonowner-occupied site-built home
Percent except as noted
Conventional, first lien
Home purchase
Adjusted incidence,
by adjustment factor
Borrower-
Number related
Race and ethnicity of Unadjusted Borrower- plus
and sex loans incidence related lender
Race and ethnicity
American Indian or
Alaska Native 3,576 16.9 15.6 11.1
Asian 33,592 7.4 8.5 8.6
Black or African
American 46,260 38.6 24.2 14.7
Native Hawaiian or
other Pacific
Islander 3,407 15.8 14.6 11.2
Two or more
minority races 424 25.7 23.5 11.4
Joint 8,971 7.1 11.0 9.9
Race missing 76,434 11.5 14.1 10.6
Hispanic white 40,643 16.8 15.4 10.9
Non-Hispanic white 502,030 9.4 9.4 9.4
Sex
One male 219,700 17.7 17.7 17.7
One female 111,338 17.4 16.9 16.9
Two males 19,437 8.3 8.3 8.3
Two females 6,428 7.6 6.8 7.9
Conventional, first lien
Refinance
Adjusted incidence,
by adjustment factor
Borrower-
Number related
Race and ethnicity of Unadjusted Borrower- plus
and sex loans incidence related lender
Race and ethnicity
American Indian or
Alaska Native 3,166 19.7 21.5 14.1
Asian 18,809 7.0 10.9 11.3
Black or African
American 46,900 33.5 27.7 16.7
Native Hawaiian or
other Pacific
Islander 2,666 14.6 17.3 13.0
Two or more
minority races 424 24.8 27.5 15.9
Joint 5,421 8.2 13.5 11.3
Race missing 64,341 15.5 22.2 13.5
Hispanic white 28,011 17.9 18.1 13.3
Non-Hispanic white 330,979 10.9 10.9 10.9
Sex
One male 161,011 17.9 17.9 17.9
One female 85,278 19.8 19.8 18.4
Two males 9,083 7.9 7.9 7.9
Two females 3,307 12.0 9.3 10.2
Other (1)
Borrower-
Number related
Race and ethnicity of Unadjusted Borrower- plus
and sex loans incidence related lender
Race and ethnicity
American Indian or
Alaska Native 828 34.8 25.2 31.2
Asian 3,785 37.5 32.1 30.4
Black or African
American 11,099 46.8 43.2 33.6
Native Hawaiian or
other Pacific
Islander 731 40.8 33.5 29.5
Two or more
minority races 97 38.1 19.9 55.4
Joint 1,466 27.2 31.8 28.6
Race missing 13,877 41.1 40.0 32.0
Hispanic white 7,522 49.4 40.1 34.5
Non-Hispanic white 81,408 30.2 30.2 30.2
Sex
One male 39,283 42.5 42.5 42.5
One female 20,416 43.0 42.5 43.1
Two males 2,526 27.2 27.2 27.2
Two females 984 35.6 33.5 32.0
(1.) "Other" consists of government-backed loans of all types,
junior liens, home-improvement loans, and unsecured loans.
NOTE: Excludes transition-period loans (those for which the
application was submitted before 2004). For definition of higher-priced
lending and explanation of adjustment factors, see text. For method of
allocation into racial and ethnic categories and definitions of
categories, see general note to table 6 and text note 35. Loans taken
out jointly by a male and female are not tabulated here because they
would not be directly comparable with loans taken out by one
borrower or by two borrowers of the same sex.
11. Unadjusted and adjusted incidence of higher-priced lending for
conventional, first-lien loans on site-built, owner-occupied, one-
to four-family homes, by selected race and ethnicity for selected
characteristics of borrower, property, and lender, 2004
Percent except as noted
Home purchase
Adjusted
incidence,
by
adjustment
factor
Selected characteristic, Number
by race and ethnicity of Unadjusted Borrower-
of borrower loans incidence related
INCOME OF BORROWER
Lower
Black or African American 87,841 39.2 35.2
Hispanic white 83,642 23.6 21.2
Non-Hispanic white 637,019 12.9 12.9
Middle
Black or African American 66,997 33.9 31.1
Hispanic white 84,988 22.1 19.5
Non-Hispanic white 648,853 9.9 9.9
Higher
Black or African American 70,247 23.9 19.8
Hispanic white 118,728 17.4 12.5
Non-Hispanic white 1,099,544 5.8 5.8
INCOME OF CENSUS TRACT
Lower
Black or African American 69,713 40.9 34.7
Hispanic white 85,791 26.0 25.0
Non-Hispanic white 254,231 15.0 15.0
Middle
Black or African American 107,177 32.0 29.0
Hispanic white 137,291 20.5 17.7
Non-Hispanic white 1,229,899 10.3 10.3
Higher
Black or African American 55,401 22.7 18.2
Hispanic white 78,431 13.6 10.5
Non-Hispanic white 984,982 5.2 5.2
CRA ASSESSMENT AREA
Property not in assessment area
Black or African American 78,331 31.9 25.5
Hispanic white 100,290 16.7 14.3
Non-Hispanic white 1,010,824 7.4 7.4
Property in assessment area
Black or African American 43,680 12.7 9.9
Hispanic white 68,101 9.6 5.6
Non-Hispanic white 620,870 2.8 2.8
DISPOSITION
Sold to GSE (1)
Black or African American 43,683 9.0 6.7
Hispanic white 67,768 3.9 3.2
Non-Hispanic white 808,454 1.6 1.6
Sold to others
Black or African American 137,679 40.5 33.3
Hispanic white 160,188 26.3 24.0
Non-Hispanic white 1,065,255 13.8 13.8
Retained
Black or African American 51,326 30.7 25.6
Hispanic white 73,959 22.2 17.5
Non-Hispanic white 602,546 9.3 9.3
TYPE OF LENDER,
BY PERCENTAGE OF
LENDER'S LOANS TO
NON-HISPANIC WHITES
THAT ARE HIGHER PRICED
Less than 10
Black or African American 121,500 10.6 8.5
Hispanic white 182,503 5.7 4.8
Non-Hispanic white 1,993,900 2.3 2.3
10-49
Black or African American 69,894 44.3 40.9
Hispanic white 78,695 31.0 33.0
Non-Hispanic white 366,709 25.3 25.3
50 or more
Black or African American 41,189 76.6 75.6
Hispanic white 40,393 65.4 70.7
Non-Hispanic white 115,646 66.5 66.5
Home
purchase Refinance
Adjusted
incidence,
by
adjustment
factor
Selected characteristic, Borrower- Number
by race and ethnicity related of Unadjusted
of borrower plus lender loans incidence
INCOME OF BORROWER
Lower
Black or African American 21.7 161,762 42.1
Hispanic white 16.3 120,253 22.5
Non-Hispanic white 12.9 961,571 19.3
Middle
Black or African American 18.1 112,007 34.8
Hispanic white 13.3 118,699 20.8
Non-Hispanic white 9.9 989,420 14.9
Higher
Black or African American 10.9 104,662 26.0
Hispanic white 7.8 123,101 16.9
Non-Hispanic white 5.8 1,539,336 9.0
INCOME OF CENSUS TRACT
Lower
Black or African American 22.7 141,851 42.5
Hispanic white 18.8 126,577 23.3
Non-Hispanic white 15.0 383,904 21.7
Middle
Black or African American 17.8 175,784 33.4
Hispanic white 13.0 167,456 19.2
Non-Hispanic white 10.3 1,936,163 15.0
Higher
Black or African American 9.8 73,571 22.2
Hispanic white 7.0 84,151 13.6
Non-Hispanic white 5.2 1,370,653 7.4
CRA ASSESSMENT AREA
Property not in assessment area
Black or African American 17.7 121,253 28.3
Hispanic white 11.1 105,634 13.6
Non-Hispanic white 7.4 1,419,662 8.8
Property in assessment area
Black or African American 6.6 79,403 13.3
Hispanic white 4.0 113,714 7.7
Non-Hispanic white 2.8 964,166 3.9
DISPOSITION
Sold to GSE (1)
Black or African American 5.2 71,439 1.1
Hispanic white 2.9 87,929 .4
Non-Hispanic white 1.6 1,200,878 .4
Sold to others
Black or African American 20.6 196,055 43.6
Hispanic white 17.5 179,549 27.3
Non-Hispanic white 13.8 1,427,539 20.0
Retained
Black or African American 13.2 124,030 39.6
Hispanic white 10.5 111,348 21.4
Non-Hispanic white 9.3 1,069,892 17.4
TYPE OF LENDER,
BY PERCENTAGE OF
LENDER'S LOANS TO
NON-HISPANIC WHITES
THAT ARE HIGHER PRICED
Less than 10
Black or African American 8.4 171,423 6.6
Hispanic white 4.5 212,021 2.6
Non-Hispanic white 2.3 2,589,887 1.8
10-49
Black or African American 35.9 139,090 46.1
Hispanic white 31.2 111,898 32.1
Non-Hispanic white 25.3 763,119 27.3
50 or more
Black or African American 74.8 80,743 74.4
Hispanic white 71.6 54,639 58.2
Non-Hispanic white 66.5 345,303 64.2
Refinance
Adjusted incidence,
by adjustment factor
Selected characteristic, Borrower-
by race and ethnicity Borrower- related
of borrower related plus lender
INCOME OF BORROWER
Lower
Black or African American 39.6 25.9
Hispanic white 24.2 20.4
Non-Hispanic white 19.3 19.3
Middle
Black or African American 33.8 20.1
Hispanic white 21.5 16.6
Non-Hispanic white 14.9 14.9
Higher
Black or African American 22.8 12.7
Hispanic white 14.6 10.4
Non-Hispanic white 9.0 9.0
INCOME OF CENSUS TRACT
Lower
Black or African American 37.5 27.4
Hispanic white 25.6 22.9
Non-Hispanic white 21.7 21.7
Middle
Black or African American 31.2 19.5
Hispanic white 19.6 16.0
Non-Hispanic white 15.0 15.0
Higher
Black or African American 18.1 10.2
Hispanic white 11.2 8.2
Non-Hispanic white 7.4 7.4
CRA ASSESSMENT AREA
Property not in assessment area
Black or African American 23.3 14.8
Hispanic white 12.6 10.3
Non-Hispanic white 8.8 8.8
Property in assessment area
Black or African American 10.9 6.4
Hispanic white 5.3 4.6
Non-Hispanic white 3.9 3.9
DISPOSITION
Sold to GSE (1)
Black or African American 1.0 .7
Hispanic white .4 .4
Non-Hispanic white .4 .4
Sold to others
Black or African American 36.7 25.9
Hispanic white 27.9 22.1
Non-Hispanic white 20.0 20.0
Retained
Black or African American 34.3 21.0
Hispanic white 21.7 18.5
Non-Hispanic white 17.4 17.4
TYPE OF LENDER,
BY PERCENTAGE OF
LENDER'S LOANS TO
NON-HISPANIC WHITES
THAT ARE HIGHER PRICED
Less than 10
Black or African American 5.1 4.3
Hispanic white 2.5 2.3
Non-Hispanic white 1.8 1.8
10-49
Black or African American 42.2 36.9
Hispanic white 32.9 30.6
Non-Hispanic white 27.3 27.3
50 or more
Black or African American 71.8 71.7
Hispanic white 65.8 67.1
Non-Hispanic white 64.2 64.2
NOTE: For discussion of CRA assessment areas and the identification
of higher-priced lenders, see text note 47. See also general note
to table 10.A.
(1.) Government-sponsored enterprise; virtually all were to Fannie
Mae and Freddie Mac.
12. Unadjusted and adjusted mean APR spreads for higher-priced loans
on one- to four-family homes, by type of loan and by race and
ethnicity and sex of borrower, 2004
A. Home purchase, owner-occupied site-built home
Percent except as noted
Conventional
First lien
Adjusted
mean spread,
by adjustment
factor
Number
of Unadjusted Borrower-
Race and ethnicity higher- mean Borrower- related
and sex priced spread related plus
loans lender
Race and ethnicity
American Indian or
Alaska Native 5,101 4.0 4.1 4.1
Asian 11,771 3.8 4.0 4.0
Black or African
American 75,427 4.2 4.2 4.2
Native Hawaiian or
other Pacific
Islander 3,186 4.0 4.1 4.1
Two or more
minority races 598 4.1 4.3 4.1
Joint 3,242 4.0 4.1 4.1
Race missing 52,094 4.1 4.1 4.1
Hispanic white 61,248 3.9 4.0 4.1
Non-Hispanic white 216,409 4.1 4.1 4.1
Sex
One male 173,166 4.0 4.0 4.0
One female 130,250 4.1 4.0 4.0
Two males 3,632 4.1 4.1 4.1
Two females 3,246 4.1 4.0 4.1
Conventional
Junior lien
Adjusted
mean spread,
by adjustment
factor
Number
of Unadjusted Borrower-
Race and ethnicity higher- mean Borrower- related
and sex priced spread related plus
loans lender
Race and ethnicity
American Indian or
Alaska Native 3,828 6.3 6.4 6.4
Asian 11,164 6.2 6.4 6.4
Black or African
American 38,657 6.6 6.5 6.5
Native Hawaiian or
other Pacific
Islander 3,070 6.3 6.5 6.5
Two or more
minority races 302 6.4 6.5 6.5
Joint 2,662 6.4 6.5 6.5
Race missing 39,130 6.4 6.5 6.5
Hispanic white 50,817 6.3 6.4 6.4
Non-Hispanic white 119,879 6.4 6.4 6.4
Sex
One male 109,257 6.4 6.4 6.4
One female 77,785 6.4 6.4 6.4
Two males 2,711 6.3 6.3 6.3
Two females 2,261 6.4 6.3 6.3
Government backed, first lien
Adjusted
mean spread,
by adjustment
factor
Number
of Unadjusted Borrower-
Race and ethnicity higher- mean Borrower- related
and sex priced spread related plus
loans lender
Race and ethnicity
American Indian or
Alaska Native 235 4.2 4.0 4.1
Asian 137 4.3 4.2 4.2
Black or African
American 911 4.1 4.0 4.2
Native Hawaiian or
other Pacific
Islander 55 4.3 4.3 4.5
Two or more
minority races 82 3.9 3.6 4.1
Joint 114 4.2 4.1 4.2
Race missing 515 4.2 4.2 4.1
Hispanic white 973 4.7 4.2 4.2
Non-Hispanic white 3,214 4.1 4.1 4.1
Sex
One male 1,924 4.2 4.2 4.2
One female 1,555 4.2 4.3 4.3
Two males 126 4.1 4.1 4.1
Two females 83 4.0 3.8 3.9
Note: For definition of APR spread, see table 7, note 1.
See also note to table 10.A.
B. Refinance, owner-occupied site-built home
Percent except as noted
Conventional
First lien
Adjusted
mean spread,
by adjustment
factor
Number
of Unadjusted Borrower-
Race and ethnicity higher- mean Borrower- related
and sex priced spread related plus
loans lender
Race and ethnicity
American Indian or
Alaska Native 8,977 4.1 4.2 4.1
Asian 12,250 3.9 4.1 4.1
Black or African
American 135,467 4.3 4.3 4.3
Native Hawaiian or
other Pacific
Islander 5,153 4.1 4.2 4.2
Two or more
minority races 1,072 4.0 4.1 4.1
Joint 6,973 4.1 4.2 4.2
Race missing 159,741 4.2 4.2 4.2
Hispanic white 73,181 4.0 4.1 4.2
Non-Hispanic white 476,034 4.2 4.2 4.2
Sex
One male 252,618 4.1 4.1 4.1
One female 232,583 4.2 4.2 4.1
Two males 4,833 4.2 4.2 4.2
Two females 7,479 4.3 4.2 4.2
Conventional
Junior lien
Adjusted
mean spread,
by adjustment
factor
Number
of Unadjusted Borrower-
Race and ethnicity higher- mean Borrower- related
and sex priced spread related plus
loans lender
Race and ethnicity
American Indian or
Alaska Native 800 7.2 6.8 7.1
Asian 2,675 6.5 6.9 7.1
Black or African
American 10,974 7.5 7.2 7.2
Native Hawaiian or
other Pacific
Islander 811 6.8 7.1 7.1
Two or more
minority races 76 6.8 7.0 7.3
Joint 1,308 7.0 7.1 7.1
Race missing 26,915 7.6 7.3 7.2
Hispanic white 7,255 6.9 7.0 7.1
Non-Hispanic white 68,211 7.1 7.1 7.1
Sex
One male 30,905 7.1 7.1 7.1
One female 21,919 7.1 7.1 7.1
Two males 714 7.0 7.0 7.0
Two females 914 7.2 6.9 7.0
Government backed, first lien
Adjusted
mean spread,
by adjustment
factor
Number
of Unadjusted Borrower-
Race and ethnicity higher- mean Borrower- related
and sex priced spread related plus
loans lender
Race and ethnicity
American Indian or
Alaska Native 98 4.1 4.0 3.8
Asian 91 4.4 3.7 3.8
Black or African
American 456 3.7 3.8 3.8
Native Hawaiian or
other Pacific
Islander 94 5.1 3.7 3.6
Two or more
minority races 65 3.9 3.9 3.9
Joint 56 3.9 3.8 3.6
Race missing 603 3.8 3.9 3.9
Hispanic white 408 4.4 4.0 3.9
Non-Hispanic white 2,002 3.8 3.8 3.8
Sex
One male 895 3.9 3.9 3.9
One female 823 3.9 3.9 3.8
Two males 68 4.1 4.1 4.1
Two females 55 3.9 4.0 4.3
Note: See note to table 12.A.
C. Home improvement, conventional loan, owner-occupied site-built home
Percent except as noted
First lien
Adjusted
mean spread,
by adjustment
factor
Number
of Unadjusted Borrower-
Race and ethnicity higher- mean Borrower- related
and sex priced spread related plus lender
loans
Race and ethnicity
American Indian or
Alaska Native 883 4.5 4.6 4.4
Asian 752 3.9 4.3 4.4
Black or African 11,770 4.6 4.6 4.5
American
Native Hawaiian or
other Pacific
Islander 397 4.2 4.4 4.5
Two or more
minority races 76 4.4 4.3 4.3
Joint 605 4.4 4.5 4.4
Race missing 7,920 4.5 4.6 4.5
Hispanic white 7,572 4.3 4.3 4.4
Non-Hispanic white 43,209 4.4 4.4 4.4
Sex
One male 19,340 4.4 4.4 4.4
One female 20,104 4.4 4.4 4.4
Two males 438 4.3 4.3 4.3
Two females 729 4.6 4.4 4.1
Junior lien
Adjusted
mean spread,
by adjustment
factor
Number
of Unadjusted Borrower-
Race and ethnicity higher- mean Borrower- related
and sex priced spread related plus lender
loans
Race and ethnicity
American Indian or
Alaska Native 493 7.7 7.6 7.8
Asian 875 7.5 7.8 7.9
Black or African 7,389 8.4 8.3 8.1
American
Native Hawaiian or
other Pacific
Islander 463 7.9 8.0 7.7
Two or more
minority races 32 7.7 7.9 6.6
Joint 800 7.8 8.1 8.2
Race missing 10,633 7.9 8.2 8.0
Hispanic white 3,255 7.7 8.1 8.0
Non-Hispanic white 40,410 7.9 7.9 7.9
Sex
One male 17,425 8.2 8.2 8.2
One female 12,873 8.1 8.1 8.1
Two males 457 7.9 7.9 7.9
Two females 532 8.0 8.0 7.9
D. Manufactured housing, conventional loan, first lien,
owner-occupied home
Percent except as noted
Home purchase
Adjusted
mean spread,
by adjustment
factor
Number
of Unadjusted Borrower-
Race and ethnicity higher- mean Borrower- related
and sex priced spread related plus lender
loans
Race and ethnicity
American Indian or
Alaska Native 796 6.0 6.0 5.9
Asian 337 5.4 5.5 5.5
Black or African
American 4,060 6.0 5.9 5.9
Native Hawaiian or
other Pacific
Islander 223 5.8 6.1 6.6
Two or more
minority races 10 5.6 6.8 5.3
Joint 535 5.6 5.8 5.7
Race missing 3,738 5.9 5.9 5.7
Hispanic white 3,777 6.0 6.1 6.0
Non-Hispanic white 41,725 5.6 5.6 5.6
Sex
One male 17,145 5.8 5.8 5.8
One female 13,413 5.7 5.7 5.7
Two males 1,019 5.9 5.9 5.9
Two females 1,005 5.7 5.6 6.0
Refinance
Adjusted
mean spread,
by adjustment
factor
Number
of Unadjusted Borrower-
Race and ethnicity higher- mean Borrower- related
and sex priced spread related plus lender
loans
Race and ethnicity
American Indian or
Alaska Native 266 5.4 5.3 4.9
Asian 90 4.9 5.7 5.7
Black or African
American 1,567 5.4 5.3 5.3
Native Hawaiian or
other Pacific
Islander 49 4.8 5.0 5.1
Two or more
minority races 11 3.9 4.0 3.2
Joint 234 4.9 5.1 5.1
Race missing 4,379 4.8 4.7 4.9
Hispanic white 1,051 5.0 5.0 5.1
Non-Hispanic white 26,104 5.0 5.0 5.0
Sex
One male 8,350 5.0 5.0 5.0
One female 6,363 5.1 5.0 5.0
Two males 315 5.4 5.4 5.4
Two females 294 5.4 5.3 5.7
NOTE: See note to table 12.A.
E. Nonowner-occupied site-built home
Percent except as noted
Conventional, first lien
Home purchase
Adjusted
mean spread,
by adjustment
factor
Number
of Unadjusted Borrower-
Race and ethnicity higher- mean Borrower- related
and sex priced spread related plus
loans lender
Race and ethnicity
American Indian or
Alaska Native 603 3.9 4.1 4.1
Asian 2,476 3.9 3.9 4.0
Black or African
American 17,841 4.2 4.1 4.1
Native Hawaiian or
other Pacific
Islander 539 4.0 4.0 3.9
Two or more
minority races 109 4.1 4.4 4.1
Joint 637 4.0 4.0 3.9
Race missing 8,816 4.1 4.1 4.1
Hispanic white 6,831 3.9 4.0 4.0
Non-Hispanic white 47,211 4.0 4.0 4.0
Sex
One male 38,917 4.0 4.0 4.0
One female 19,349 4.0 4.0 4.0
Two males 1,605 4.1 4.1 4.1
Two females 489 4.1 4.2 5.4
Conventional, first lien
Refinance
Adjusted
mean spread,
by adjustment
factor
Number
of Unadjusted Borrower-
Race and ethnicity higher- mean Borrower- related
and sex priced spread related plus
loans lender
Race and ethnicity
American Indian or
Alaska Native 623 4.1 4.3 4.3
Asian 1,319 3.9 4.0 4.1
Black or African
American 15,731 4.3 4.3 4.3
Native Hawaiian or
other Pacific
Islander 388 4.2 4.4 4.8
Two or more
minority races 105 3.9 3.9 3.7
Joint 444 4.2 4.2 4.0
Race missing 9,995 4.2 4.3 4.2
Hispanic white 5,002 4.1 4.2 4.2
Non-Hispanic white 35,920 4.1 4.1 4.1
Sex
One male 28,824 4.2 4.2 4.2
One female 16,904 4.2 4.2 4.2
Two males 718 4.1 4.1 4.1
Two females 396 4.4 4.1 4.0
Other (1)
Adjusted
mean spread,
by adjustment
factor
Number
of Unadjusted Borrower-
Race and ethnicity higher- mean Borrower- related
and sex priced spread related plus
loans lender
Race and ethnicity
American Indian or
Alaska Native 288 6.5 6.2 6.3
Asian 1,419 6.5 6.2 6.1
Black or African
American 5,197 6.5 6.3 6.2
Native Hawaiian or
other Pacific
Islander 298 6.7 6.3 6.2
Two or more
minority races 37 6.7 6.2 6.7
Joint 399 6.5 6.4 6.0
Race missing 5,698 6.7 6.3 6.3
Hispanic white 3,718 6.3 6.2 6.1
Non-Hispanic white 24,622 6.1 6.1 6.1
Sex
One male 16,711 6.4 6.4 6.4
One female 8,774 6.3 6.3 6.4
Two males 688 6.3 6.3 6.3
Two females 350 6.5 6.2 6.4
Note: See note to table 12.A.
(1.) See table 10.E., note 1.
13. Loan pricing by eight subprime specialists, conventional
first-lien loans on owner-occupied one- to four-family homes, by
type of loan and by selected race and ethnicity of borrower, 2004
A. Unadjusted and adjusted incidence of higher-priced lending
Percent except as noted
Home purchase
Adjusted incidence
by adjustment facor
Borrower-
related
Number Unadjusted Borrower- plus
Race and ethnicity of loans incidence related non-HMDA
credit
factors
Black or African
American 6,369 85.8 84.4 83.9
Hispanic white 6,110 72.6 83.2 83.1
Non-Hispanic white 30,224 82.9 82.9 82.9
Refinance
Adjusted incidence
by adjustment factor
Borrower-
related
Number Unadjusted Borrower- plus
Race and ethnicity of loans incidence related non-HMDA
credit
factors
Black or African
American 37,354 82.9 81.9 80.7
Hispanic white 12,800 71.7 78.8 80.9
Non-Hispanic white 135,667 80.7 80.7 80.7
NOTE: Includes transition-period loans (those for which the
application was submitted before 2004). For details on higher-priced
lending, the subprime lenders, and the adjustment factors, see text
and text note 49. For method of allocation into racial and ethnic
categories and definitions of categories, see general note to table
6 and text note 35.
Source: Credit Research Center, Georgetown University.
B. Unadjusted and adjusted mean APR spreads for higher-priced loans
Percentage points except as noted
Home purchase
Adjusted spread
by adjustment factor
Borrower-
Number related
of Unadjusted Borrower- plus
Race and ethnicity higher- spread related non-HMDA
priced credit
loans factors
Black or African
American 5,463 5.1 5.1 5.0
Hispanic white 4,437 4.7 4.9 4.9
Non-Hispanic white 25,053 4.9 4.9 4.9
Refinance
Adjusted spread
by adjustment factor
Borrower-
Number related
of Unadjusted Borrower- plus
Race and ethnicity higher- spread related non-HMDA
priced credit
loans factors
Black or African
American 30,959 5.1 5.1 5.0
Hispanic white 9,183 4.7 4.8 4.9
Non-Hispanic white 109,524 5.0 5.0 5.0
NOTE: For definition of APR spread, see table 7, note 1. See also
notes to table 13.A.
14. Distribution of the difference between denial rates on
applications by black and Hispanic applicants as a group and such
denial rates for non-Hispanic white applicants, by lender-product
combination, 2004
Percent except as noted
Distribution of percentage
of lender-product
combinations after
adjustment
Black and Hispanic denial
rate is higher and
difference is statistically
significant, by degree of
significance
Number of
Type of unadjusted lender-product 1 5 10
difference combinations percent percent percent
before
adjustment
Black and Hispanic
denial rate is higher
and difference is
statistically
significant, by degree
of significance
1 percent 1,642 43.8 16.4 8.6
5 percent 758 4.1 12.4 9.5
10 percent 557 .7 5.7 8.8
Difference is not
statistically
significant 10,185 .3 48.0 1.0
Non-Hispanic white
denial rate is higher
and difference is
statistically
significant, by degree
of significance
1 percent 48 2.1 2.1 0
5 percent 34 0 0 0
10 percent 36 0 0 0
Distribution of percentage of lender-product
combinations after adjustment
Non-Hispanic
white denial
Difference rate is higher
Type of unadjusted is not and difference
difference statistically is statistically Total
significant significant
at least at the
10 percent level
Black and Hispanic
denial rate is higher
and difference is
statistically
significant, by degree
of significance
1 percent 31.1 0 100
5 percent 74.0 0 100
10 percent 84.7 0 100
Difference is not
statistically
significant 98.1 .4 100
Non-Hispanic white
denial rate is higher
and difference is
statistically
significant, by degree
of significance
1 percent 45.8 50.0 100
5 percent 94.1 5.9 100
10 percent 80.6 19.4 100
NOTE: Includes transition-period applications (those submitted
before 2004); for explanation, see text note 46. The adjustment
factors and the racial and ethnic categories differ from those in
tables 9 through 13. For explanation of adjustment factors and for
method of allocation into racial and ethnic categories and
definitions of categories, see text and text notes 50 and 51.
15. Distribution of the difference between incidence of
higher-priced loans for black and Hispanic borrowers as
a group and the incidence for non-Hispanic white borrowers,
by lender-product combination, 2004
Percent except as noted
Distribution of
percentage of
lender-product
combinations after
adjustment
Black and Hispanic
incidence is higher
and difference is
statistically
significant, by
degree of
significance
Number of
lender-product
Type of unadjusted difference combinations 1 percent 5 percent
before
adjustment
Black and Hispanic incidence
is higher and difference is
statistically significant,
by degree of significance
1 percent 532 43.0 15.4
5 percent 285 4.9 11.9
10 percent 241 1.2 4.6
Difference is not
statistically significant 12,112 .1 .3
Non-Hispanic white incidence
is higher and difference is
statistically significant,
by degree of significance
1 percent 33 0 0
5 percent 26 0 0
10 percent 31 0 0
Distribution of
percentage of
lender-product
combinations after
adjustment
Black and
Hispanic
incidence
is higher
and
difference
is statis-
tically
signifi-
cant, by
degree of
signifi-
cance
Difference
is not
Type of unadjusted difference 10 percent statistically
significant
Black and Hispanic incidence
is higher and difference is
statistically significant,
by degree of significance
1 percent 7.5 34.0
5 percent 8.4 74.7
10 percent 9.1 85.1
Difference is not
statistically significant .4 99.0
Non-Hispanic white incidence
is higher and difference is
statistically significant,
by degree of significance
1 percent 0 93.9
5 percent 0 96.2
10 percent 0 90.3
Distribution of
percentage of
lender-product
combinations after
adjustment
Non-Hispanic
white incidence
is higher
and difference Total
Type of unadjusted difference is statistically
significant
at least at the
10 percent level
Black and Hispanic incidence
is higher and difference is
statistically significant,
by degree of significance
1 percent 0 100
5 percent 0 100
10 percent 0 100
Difference is not
statistically significant .2 100
Non-Hispanic white incidence
is higher and difference is
statistically significant,
by degree of significance
1 percent 6.1 100
5 percent 3.8 100
10 percent 9.7 100
Note: Excludes transition-period loans (those for which
the application was submitted before 2004). The adjustment
factors and the racial and ethnic categories differ from
those in tables 9 through 13. For explanation of adjustment
factors and for method of allocation into racial and
ethnic categories and definitions of categories, see text
and text notes 50 and 51.
16. Distribution of the difference between mean APR spread of prices
for loans above the threshold for black and Hispanic borrowers as a
group and the mean spread for non-Hispanic white borrowers, by
lender-product combination, 2004
Percent except as noted
Distribution of
percentage of
lender-product
combinations after
adjustment
Black and Hispanic
mean spread is higher
and difference is
statistically
significant,
by degree of
significance
Number of
lender-product 1 5 10
Type of unadjusted combinations per- per- per-
difference before cent cent cent
adjustment
Black and Hispanic mean
spread is higher and
difference is statistically
significant, by degree of
significance
1 percent 172 28.5 18.6 6.4
5 percent 145 5.5 8.3 9.0
10 percent 127 4.7 6.3 7.1
Difference is not
statistically 12,611 .1 .2 .3
significant
Non-Hispanic white mean
spread is higher and
difference is statistically
significant, by degree of
significance
1 percent 75 1.3 1.3 0
5 percent 57 1.8 1.8 0
10 percent 73 0 0 1.4
Distribution of percentage of
lender-product combinations after
adjustment
Non-Hispanic
white mean
Difference spread is higher
is not and difference
Type of unadjusted statistically is statistically Total
difference significant significant
at least at the
10 percent level
Black and Hispanic mean
spread is higher and
difference is statistically
significant, by degree of
significance
1 percent 40.7 0 100
5 percent 77.2 0 100
10 percent 81.9 0 100
Difference is not
statistically 99.3 .2 100
significant
Non-Hispanic white mean
spread is higher and
difference is statistically
significant, by degree of
significance
1 percent 84.0 13.3 100
5 percent 91.2 5.3 100
10 percent 97.3 1.4 100
NOTE: For definition of APR spread, see table
7, note 1. See also note to table 15.
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