accounted for when analyzing HMDA data. The Transmittal Sheet contains self reported information related to HMDA reporters. The Panel is a compilation of regulatory data related to an institution that is used to profile HMDA reporters by peer group, such as by asset size, or by depository status and provide identifiers that link to other datasets, such as the CRA and the National Information Center. Initial dataset publications are referred to as the Modified LAR and are available on 3/31 of each calendar year. Later in the year additional datasets are published including the Snapshot, a point in time copy of HMDA of all three annual HMDA datasets, and Dynamic, TS and LAR files that are updated weekly. The HMDA Data Browser was launched as an access tool for the 2018 and onward HMDA collections. The Data Browser allows filtering by geographic location, including State, MSA, and county, HMDA reporter, by LEI or name, and up to two additional data fields. The Data Browser also allows access via API. HMDA Data Use in Fair Lending Analysis HMDA data can be used to identify indicators of potential mortgage discrimination, however HMDA does not contain sufficient data to make conclusive determinations regarding discrimination. It is important to understand that in all cases of possible discrimination, the basic regulatory inquiry revolves around whether a protected class of persons being denied a loan or offered different terms for reasons other than objectively acceptable characteristics (e.g. income, collateral). If an institution turns down a disproportionate percentage of applications by certain races (e.g. African Americans), ethnicities (e.g. Hispanics), or genders (typically women), then there is reason to suspect that the institution may be discriminating against these classes of borrowers by unfairly denying them credit. Such discrimination is illegal in the United States. Although well-documented during the period of local bank dominance in American history, the rise of mass financial institutions since the early 1990s has led to increasing investor scrutiny regarding profits, and hence a lower likelihood that a bank can afford to subsidize such outright discrimination by forgoing loan originations. Yet several recent studies using HMDA data still detect racial and ethnic disparities in lending activity, even when factors such as income are accounted for statistically. If an institution has a disproportionately low percentage of applications by certain races (e.g. African Americans), ethnicities (e.g. Hispanics) or genders (typically women) then there is reason to suspect