Prince George's County, Maryland v. Wells Fargo & Co.

CourtDistrict Court, D. Maryland
DecidedFebruary 17, 2021
Docket8:18-cv-03576
StatusUnknown

This text of Prince George's County, Maryland v. Wells Fargo & Co. (Prince George's County, Maryland v. Wells Fargo & Co.) is published on Counsel Stack Legal Research, covering District Court, D. Maryland primary law. Counsel Stack provides free access to over 12 million legal documents including statutes, case law, regulations, and constitutions.

Bluebook
Prince George's County, Maryland v. Wells Fargo & Co., (D. Md. 2021).

Opinion

IN THE UNITED STATES DISTRICT COURT FOR THE DISTRICT OF MARYLAND

PRINCE GEORGE’S COUNTY, * MARYLAND, et al., * * Plaintiffs, * * v. * Civil No. 18-3576 PJM * WELLS FARGO & CO. et al., * * Defendants. *

MEMORANDUM OPINION Prince George’s County and Montgomery County, Maryland, filed this suit against Defendants Wells Fargo & Company and related entities1 (collectively “Wells Fargo”) based on allegations of predatory and discriminatory residential mortgage lending, servicing, and foreclosure practices in violation of the Fair Housing Act (FHA), 42 U.S.C. §§ 3601 et seq. After the Court deferred ruling in part on Wells Fargo’s first motion to dismiss, the Counties filed an amended complaint, and Wells Fargo thereafter filed the present Motion to Dismiss the Amended Complaint. Having considered the parties’ principal and supplemental briefs and held oral argument, the Court will GRANT IN PART and DENY IN PART the motion. I. Background The Counties allege that Wells Fargo engaged in predatory lending practices relative to racial minority communities, in their respective jurisdictions, which they say contributed to the recent financial crisis, as characterized by mortgage loan delinquencies, defaults, foreclosures, and

1 Other Defendants include Wells Fargo Bank, N.A. (a subsidiary of Wells Fargo & Co.), Wells Fargo Financial, Inc. (previously a subsidiary of Wells Fargo & Co., until it transferred its lending operations to Wells Fargo Bank), and Wells Fargo “John Doe” Corps. 1–375 (affiliates or subsidiaries of Wells Fargo & Co. that may be responsible for the conduct alleged in the complaint). home vacancies in the Counties, particularly in communities with high concentrations of FHA- protected minority residents. Am. Compl. ¶¶ 3–4, ECF No. 62. The Counties proceed under both disparate-impact and disparate-treatment theories and allege both economic and noneconomic harms. The suit proceeds in three counts: count I, disparate impact resulting from Wells Fargo’s

equity-stripping scheme, beginning with loan origination and continuing through servicing and mortgage foreclosure, id. ¶¶ 443–67; count II, disparate impact based solely on Wells Fargo’s mortgage servicing and foreclosure practices, id. ¶¶ 468–82; and count III, intentional disparate treatment throughout the entire equity-stripping scheme, id. ¶¶ 483–93. The Counties allege five general categories of injuries: (1) foreclosure processing costs, (2) increased cost of municipal services (i.e., municipal expenditure), (3) economic injuries to the Counties’ tax base, (4) lost municipal income, and (5) various noneconomic injuries. See Mem. Op. at 2–3, ECF No. 53. In its decision on Wells Fargo’s motion to dismiss the original complaint, the Court held that the Counties had sufficiently pleaded their claims regarding foreclosure processing costs but

found that the alleged noneconomic injuries for money damages were too far removed from the alleged discriminatory conduct to have been plausibly proximately caused by Wells Fargo. Id. at 17. The Court therefore dismissed the noneconomic claims for money damages but held that the Counties could proceed on those claims insofar as they seek injunctive or declaratory relief. See id. The Court deferred decision on the Counties’ other claims and granted them the opportunity to amend their complaint “setting forth in more detail how the losses caused by [Wells Fargo’s] purported violations may be ascertainable through a regression analysis or other specific method.” Order at 1–2, ECF No. 54. With the filing of an amended complaint, the viability of the remaining claims is again at issue: (1) economic injury to the Counties’ tax base, (2) increased municipal expenditure, and (3) lost municipal income. In their amended complaint, the Counties describe a “downward spiral in home prices, in assessed home values, and in property tax collections” caused by “concentrations of foreclosures and increasing rates of foreclosures,” including lower sales prices on pre-foreclosure homes. Am.

Compl. ¶¶ 389–90. The fair market value of residential real estate in certain communities, they submit, was “adversely impacted” by Wells Fargo’s discriminatory foreclosures. Id. ¶ 392. To prove proximate causation of their monetary damages, the Counties state that they will “us[e] foreclosure property addresses, borrower names, and foreclosure event date information,” derived from Wells Fargo’s “loan origination, loan servicing, and loan default and foreclosure data,” to isolate and establish damages caused by “foreclosures on properties secured by mortgage loans originated, acquired, serviced, or foreclosed on” by Wells Fargo by reason of the alleged discriminatory practices. Id. ¶ 393. The Counties maintain that the “critical aspect” of proving damages will be identifying individual properties where damages occurred as result of Wells

Fargo’s discriminatory practices, and that Wells Fargo’s loan data are the only source of information “that links affected borrowers and their property locations to [the] discriminatory practices.” Id. ¶ 394. The Counties suggest that their experts’ analysis2 of the loan data will “us[e] standard statistical and regression techniques” to isolate the “discriminatory loans/foreclosures from non- discriminatory loans/foreclosures,” and the Counties can then “identify the specific foreclosures and vacancies” that resulted from Wells Fargo’s alleged discriminatory practices. Id. ¶¶ 396–97.

2 Although a single expert declaration was filed in support of the Counties’ claims, the Counties’ amended complaint consistently refers to “experts.” The Court understands that the Counties may rely on more than one expert to complete the necessary analyses but clarifies that at this time only one such expert has been identified. Only then can experts “calculate the[] tax base-related damages using regression analysis.”3 Id. ¶ 397. The Counties will then “search their own regularly maintained databases to find their out- of-pocket damages information specific to those foreclosures within the appropriate time frame for which” Wells Fargo is allegedly responsible. Id. A. Tax-Base Claim

As to the tax-base injury, the Counties explain in their amended complaint that “[p]roperty taxes are the primary way” that they pay for municipal services, and the amount of property taxes collected “depends on the value of the property being taxed and the tax rate that is applied (the millage rate).” Id. ¶ 401. A decline in the value of the Counties’ tax base therefore purportedly injures the Counties directly by reducing the amount of property taxes they can collect at a given millage rate. Id. ¶ 402. Foreclosures, it is argued, particularly when concentrated, reduce the value of the foreclosed property, reduce the value of surrounding properties, and consequently shrink the property tax base going forward. Id. ¶ 403. The Counties note that, in assessing the values of residential properties, the state of

Maryland considers myriad factors, including the sales prices of surrounding and comparable properties. Id. ¶ 404. They assert that regression analysis will allow them to “accurately and confidently isolate the amount of their tax base related damages” that were a direct result of Wells Fargo’s discriminatory practices, as opposed to other factors. Id. ¶ 406. The Counties have attached to the amended complaint a declaration by Dr. Charles Cowan, a data analytics expert, who states that regression models are used in a variety of applications and

3 “Multiple regression analysis is a statistical tool used to understand the relationship between or among two or more variables.” Daniel L. Rubinfeld, Reference Guide on Multiple Regression, in Fed. Jud. Ctr., Reference Manual on Scientific Evidence 303, 305 (3d ed. 2011).

Free access — add to your briefcase to read the full text and ask questions with AI

Related

United States v. Munsingwear, Inc.
340 U.S. 36 (Supreme Court, 1950)
Conley v. Gibson
355 U.S. 41 (Supreme Court, 1957)
Curtis v. Loether
415 U.S. 189 (Supreme Court, 1974)
Gladstone, Realtors v. Village of Bellwood
441 U.S. 91 (Supreme Court, 1979)
Bell Atlantic Corp. v. Twombly
550 U.S. 544 (Supreme Court, 2007)
Ashcroft v. Iqbal
556 U.S. 662 (Supreme Court, 2009)
United States v. William H. Price, Jr.
288 F.2d 448 (Fourth Circuit, 1961)
Baltimore Neighborhoods, Inc. v. Lob, Inc.
92 F. Supp. 2d 456 (D. Maryland, 2000)
Bank of Am. Corp. v. City of Miami
581 U.S. 189 (Supreme Court, 2017)
City of Miami v. Wells Fargo & Co.
923 F.3d 1260 (Eleventh Circuit, 2019)
City of Oakland v. Wells Fargo & Company
972 F.3d 1112 (Ninth Circuit, 2020)
City of Los Angeles v. Citigroup Inc.
24 F. Supp. 3d 940 (C.D. California, 2014)
Bank of Am. Corp. v. City of Miami
140 S. Ct. 1259 (Supreme Court, 2020)

Cite This Page — Counsel Stack

Bluebook (online)
Prince George's County, Maryland v. Wells Fargo & Co., Counsel Stack Legal Research, https://law.counselstack.com/opinion/prince-georges-county-maryland-v-wells-fargo-co-mdd-2021.