this post was submitted on 14 Dec 2023
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A major credit union serving military members and veterans rejected more than half of its Black conventional mortgage applicants

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[–] EatYouWell@lemmy.world 160 points 11 months ago (27 children)

A deeper statistical analysis performed by CNN found that Black applicants to Navy Federal were more than twice as likely to be denied as White applicants even when more than a dozen different variables – including income, debt-to-income ratio, property value, downpayment percentage, and neighborhood characteristics – were the same.

This is the important bit, so someone can't argue differences in loan applications.

[–] RandomPancake@lemmy.world 9 points 11 months ago (14 children)

This is the Internet. You can post comprehensive, overwhelming, irrefutable proof and people will still argue.

Did the article say anything about their payment history? That looks like the only variable they didn't mention.

[–] krellor@kbin.social 15 points 11 months ago (13 children)

I noticed the article indicated that the analysis didn't include credit score, available cash deposit, and relationship history with the lender. Honestly, it is usually credit score and cash on hand that gets you approved to receive a loan, debt to income ratio to determine maximum loan amount, and property value to pass underwriting requirements.

CNN's response is basically, we don't have the credit scores because it isn't in the public data, and sort of glosses over it from there.

Now, I'm all for rooting out implicit and systematic bias, especially with systems that have profound effects on life trajectory, and I think credit scores are particularly prone to disadvantage minorities, but I feel like CNN really could have done better here. I know they asked the bank for credit score data, but the bank can't release that information to a third party like that. I would have liked to see CNN being in some more expertise on the subject.

I'm contrast both NPR and NYT have done much more thorough investigative journalism on these topics. NPR in particular did a great podcast on how black home owners were routinely having their homes appraised for markedly less than white peers, and NYT covered discrepancies in underwriting outcomes even when credit history was the same.

I think CNN saw the easy article against this particular bank and took it to fill column space.

[–] reliv3@lemmy.ml 8 points 11 months ago (2 children)

"Notably, Navy Federal approved a slightly higher percentage of applications from White borrowers making less than $62,000 a year than it did of Black borrowers making $140,000 or more."

I don't know man. Like, I agree that data is missing, but the data they did pull is very damning. Like how is there a higher approval % of white applicants making less than half the yearly salary of black applicants?

[–] krellor@kbin.social 0 points 11 months ago* (last edited 11 months ago)

That's a good point, though the whole thing is weird. I went back and reread the article and this jumped out at me as well:

By some measures, Navy Federal has been successful at lending to minority borrowers: A fourth of its conventional mortgage applicants are Black, and about 18% of the conventional loans it originated went to Black borrowers – a larger portion than almost any other large lender.

It feels like they have some biased criteria in their approval process, but would really need the data to show it. They originate a higher percentage of conventional loans to black borrowers, but possibly as an artifact of having more apply.

One possible reason for the discrepancy with approval rates and income could also be cost of living areas. It would make sense that higher salaries also correlate to more expensive areas.

It would be nice if they shared their statistical results that they talk about being embedded in their processes to prevent bias so we could see what they are keying off of.

[–] Furedadmins@lemmy.world 0 points 11 months ago

The poorer people are likely applying for smaller loans so the income to loan ratio could be better.

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