
When we talk about growth in mortgage banking, we typically think of growing the retail production capacity. Mortgage lending organizations grow by: (1) adding a loan officer or a team of loan officers, (2) acquiring a regional production team or even a company, (3) training people new to the mortgage industry, (4) investing in new technologies, (5) using the wholesale channel, (6) buying mortgage servicing, to name a few.#nbsp;#nbsp;
Usually, lenders design growth strategies and make decisions that are rooted in the answers to more or less three basic questions:
#1 Grow - where?
#2 Grow - what?
#3 Grow - who?
When lenders seek answers to these questions, they have a great ally - the Home Mortgage Disclosure Act (HMDA) Loan/Application Register (LAR) data, modeled in HMDAVision. HMDAVision covers ~92% of the mortgage transactions in the U.S. so lenders can see the outcomes of their sales and product strategies in context of their competitors' business at any geographic level - national all the way down to census tract.
To start to answer this question, carefully consider the state of the mortgage industry, including economic indicators like interest rates, unemployment rates, housing supply, relocation trends, demographic trends, etc. Then turning to HMDA LAR data, it is very useful to be able to work with the whole data set, from application to decision to sale to the secondary market. HMDA can provide not only competitive insights, but also compliance clarity to your geographic strategy. Why are we suggesting this? Because every mortgage banking firm is regulated and any business decision will be analyzed though the micro lens of regulatory compliance. For example, when you decide on a geography to grow, are you including or excluding certain geographic areas because they are high LMI or high minority areas? Sometimes, decision makers make decisions without the complete picture that is available in HMDA insights, and end up with unintended consequences. These can even include referrals to the DOJ by CFPB, FDIC, OCC, state regulators, and/or a host of consumer advocates. See for reference the DOJ claim filed by the Fair Housing Center of Central Indiana against Old National Bank, which ended in a settlement in December 2021.
To answer this question, you can review all of the loan products offered currently in your target markets and consider how well your current product suite serves the local communities given changes in demographics and trends in the housing and mortgage markets. Adopting a data-driven approach helps both identify gaps and also spot opportunities. Are you planning to expand to a high LMI area? Then based on an interactive exploration of available data, you can quickly make a determination if your product suite is up to the task to serve local credit needs. Without doing this, you may have outcomes like low application volume for your jumbo loans while a peer is busy taking applications and underwriting government sponsored loan products, or other affordable lending alternatives.
To answer this question, you have to consider the changing regulatory environment. Last year Attorney General Garland put a spotlight on combatting redlining. As is evident from recent fair lending settlements, allegations can include the lack of full-time mortgage loan officers (MLOs) in majority-minority areas. In this new environment, you have to consider:
Polygon Research has developed the MCGI framework as a guideline and best practice for how mortgage lenders can achieve a holistic approach to managing lending growth. It's not just business as usual, but a growth strategy that will be compliant and that will lead to a positive social impact on all stakeholders. The mortgage industry is changing. Driven by rising interest rate, industry forecasts point to a smaller pie and a mortgage market where purchase mortgage loans will be the key driver of growth. More than ever, growth strategies have to be precise and data-driven in order to drive profitability in a smaller market. And there is no better way to forge your strategy than with Polygon's MCGI framework, fueled by interactive insights from HMDAVision.
The three questions behind a production plan have not changed since 2022. The answer to the third one has. What the 2026 purchase market, the amended Regulation B, and 2025 HMDA data mean for where lenders grow.

When we talk about growth in mortgage banking, we typically think of growing the retail production capacity. Mortgage lending organizations grow by: (1) adding a loan officer or a team of loan officers, (2) acquiring a regional production team or even a company, (3) training people new to the mortgage industry, (4) investing in new technologies, (5) using the wholesale channel, (6) buying mortgage servicing, to name a few.#nbsp;#nbsp;
Usually, lenders design growth strategies and make decisions that are rooted in the answers to more or less three basic questions:
#1 Grow - where?
#2 Grow - what?
#3 Grow - who?
When lenders seek answers to these questions, they have a great ally - the Home Mortgage Disclosure Act (HMDA) Loan/Application Register (LAR) data, modeled in HMDAVision. HMDAVision covers ~92% of the mortgage transactions in the U.S. so lenders can see the outcomes of their sales and product strategies in context of their competitors' business at any geographic level - national all the way down to census tract.
To start to answer this question, carefully consider the state of the mortgage industry, including economic indicators like interest rates, unemployment rates, housing supply, relocation trends, demographic trends, etc. Then turning to HMDA LAR data, it is very useful to be able to work with the whole data set, from application to decision to sale to the secondary market. HMDA can provide not only competitive insights, but also compliance clarity to your geographic strategy. Why are we suggesting this? Because every mortgage banking firm is regulated and any business decision will be analyzed though the micro lens of regulatory compliance. For example, when you decide on a geography to grow, are you including or excluding certain geographic areas because they are high LMI or high minority areas? Sometimes, decision makers make decisions without the complete picture that is available in HMDA insights, and end up with unintended consequences. These can even include referrals to the DOJ by CFPB, FDIC, OCC, state regulators, and/or a host of consumer advocates. See for reference the DOJ claim filed by the Fair Housing Center of Central Indiana against Old National Bank, which ended in a settlement in December 2021.
To answer this question, you can review all of the loan products offered currently in your target markets and consider how well your current product suite serves the local communities given changes in demographics and trends in the housing and mortgage markets. Adopting a data-driven approach helps both identify gaps and also spot opportunities. Are you planning to expand to a high LMI area? Then based on an interactive exploration of available data, you can quickly make a determination if your product suite is up to the task to serve local credit needs. Without doing this, you may have outcomes like low application volume for your jumbo loans while a peer is busy taking applications and underwriting government sponsored loan products, or other affordable lending alternatives.
To answer this question, you have to consider the changing regulatory environment. Last year Attorney General Garland put a spotlight on combatting redlining. As is evident from recent fair lending settlements, allegations can include the lack of full-time mortgage loan officers (MLOs) in majority-minority areas. In this new environment, you have to consider:
Polygon Research has developed the MCGI framework as a guideline and best practice for how mortgage lenders can achieve a holistic approach to managing lending growth. It's not just business as usual, but a growth strategy that will be compliant and that will lead to a positive social impact on all stakeholders. The mortgage industry is changing. Driven by rising interest rate, industry forecasts point to a smaller pie and a mortgage market where purchase mortgage loans will be the key driver of growth. More than ever, growth strategies have to be precise and data-driven in order to drive profitability in a smaller market. And there is no better way to forge your strategy than with Polygon's MCGI framework, fueled by interactive insights from HMDAVision.
By answering three questions with loan-level data: where to grow, what to grow, and who originates. HMDA Loan/Application Register data supports all three, because it runs from application through decision to secondary-market sale and resolves down to census tract. The 2025 data covers transactions reported by 4,782 institutions and was published by the FFIEC on June 23, 2026.
Loan-level HMDA data answers where competitors are winning, which products are moving, and where a lender's own applications are thin, at any geography down to census tract. Census and ACS data describe the households, county recorder data adds transaction activity at weeks of vintage, and agency and FHA data explain execution. A defensible plan uses more than one of these rather than a national volume forecast.
No. The CFPB's final rule, published April 22, 2026 and effective July 21, 2026, eliminated disparate-impact liability under ECOA and narrowed the discouragement prohibition, but it changed a regulation rather than the underlying statutes. State attorneys general retain authority, private plaintiffs can sue under both ECOA and the Fair Housing Act, and the Supreme Court's 2015 Inclusive Communities decision construed the Fair Housing Act itself. The rule is also under challenge in National Fair Housing Alliance v. CFPB, with summary judgment briefing running into 2027.
Not on the same terms. Under the amended Regulation B, a for-profit creditor may no longer operate an SPCP using race, color, national origin, or sex as an eligibility criterion. Credit extended under an existing program before July 21, 2026 is grandfathered under the prior framework. Programs built on geographic, income, or first-generation criteria remain available.