By county: Racial discrepancies in high-cost home loan rates (2008)

The Adobe Flash Player is required to view this multimedia interactive. Get it here.

Well-off blacks denied loans more than low-income whites

E-mail this page

By county: Racial discrepancies in high-cost home loan rates (2008)

Black loan applicants are more likely than whites to get high-cost loans. This table shows the disparities in the percentage of high-cost loans given to black and white applicants.

Census Tract 41 in Montgomery County has the highest loan denial rate in the eight-county region among tracts with more than 10 loans, according to a Dayton Daily News analysis of federal Home Mortgage Disclosure Act data. In 2008, 80 percent, 36 out of 45, of the home and refinance loans applied for by residents there were denied. It's also one of the most heavily minority communities: 99.3 percent minority. The neighborhood, is just south of U.S. 35, along Germanton Street, east of McArthur Blvd.

Data: Racial discrepancies in loan denial rates (2008)

The income groups are defined as follows:
Low = less than 50% of Metropolitan Statistical Area median family income.
Moderate = 50% - 80% MSA median income
Middle = 80% - 120% MSA median income
Upper = greater than 120% MSA median income

MSA median family incomes differ:
Dayton MSA (Montgomery, Miami, Greene and Preble counties) = $59,800
Cincinnati MSA (Warren and Butler counties) = $66,200
Springfield MSA (Clark County) = $54,500
Darke County = $51,600

Rates for blacks higher than whites

Rates for upper-income blacks higher than low-income whites

View data by bank

Eight-county Dayton region
		All loans		Home purchase		Refinance denials
Income group		Black	White	Black	White	Black	White
Low	Count	57	374	21	172	36	202
	% within race	20.0%	11.0%	20.2%	11.9%	19.9%	10.4%
Moderate	Count	90	719	47	339	43	380
	% within race	21.3%	11.2%	21.7%	10.0%	20.9%	12.5%
Middle	Count	58	700	24	259	34	441
	% within race	16.5%	9.2%	13.6%	7.9%	19.4%	10.2%
Upper	Count	46	599	18	236	28	363
	% within race	12.1%	5.2%	10.7%	5.2%	13.2%	5.2%

Montgomery County
		All loans		Home purchase		Refinance denials
Income group		Black	White	Black	White	Black	White
Low	Count	43	103	18	59	25	44
	% within race	21.9%	10.2%	23.1%	12.5%	21.2%	8.1%
Moderate	Count	58	216	33	119	25	97
	% within race	19.9%	11.0%	21.9%	10.4%	17.9%	11.7%
Middle	Count	40	201	18	78	22	123
	% within race	19.1%	9.5%	16.5%	8.2%	22.0%	10.6%
Upper	Count	20	149	7	64	13	85
	% within race	13.2%	5.1%	13.5%	5.7%	13.1%	4.8%

Butler County
		All loans		Home purchase		Refinance denials
Income group		Black	White	Black	White	Black	White
Low	Count	6	107	1	51	5	56
	% within race	11.8%	11.6%	5.9%	12.3%	14.7%	11.0%
Moderate	Count	14	157	5	70	9	87
	% within race	22.2%	10.1%	16.1%	9.2%	28.1%	11.0%
Middle	Count	7	162	2	49	5	113
	% within race	10.0%	8.8%	6.9%	6.7%	12.2%	10.1%
Upper	Count	12	138	9	51	3	87
	% within race	11.7%	5.4%	17.0%	5.1%	6.0%	5.6%

Clark County
		All loans		Home purchase		Refinance denials
Income group		Black	White	Black	White	Black	White
Low	Count	3	43	1	15	2	28
	% within race	23.1%	15.8%	25.0%	12.7%	22.2%	18.2%
Moderate	Count	13	102	7	49	6	53
	% within race	46.4%	18.3%	53.8%	16.4%	40.0%	20.5%
Middle	Count	6	70	2	35	4	35
	% within race	22.2%	11.0%	18.2%	12.6%	25.0%	9.8%
Upper	Count	6	61	0	21	6	40
	% within race	37.5%	7.8%	.0%	7.6%	54.5%	8.0%

Warren County
		All loans		Home purchase		Refinance denials
Income group		Black	White	Black	White	Black	White
Low	Count	0	33	2	49	0	22
	% within race	.0%	6.8%	66.7%	22.3%	.0%	7.1%
Moderate	Count	2	68	0	91	1	39
	% within race	11.1%	7.2%	.0%	16.0%	12.5%	8.4%
Middle	Count	2	107	4	71	0	68
	% within race	8.7%	7.4%	22.2%	9.9%	.0%	8.5%
Upper	Count	2	114	2	82	2	65
	% within race	2.7%	4.1%	4.8%	6.5%	6.1%	4.0%

Ohio
		All loans		Home purchase		Refinance denials
Income group		Black	White	Black	White	Black	White
Low	Count	493	2,900	204	1,226	289	1,674
	% within race	19.9%	13.6%	18.1%	13.3%	21.3%	13.8%
Moderate	Count	705	5,002	330	2,187	375	2,815
	% within race	19.8%	12.7%	16.0%	10.6%	25.2%	14.9%
Middle	Count	436	4,651	175	1,688	261	2,963
	% within race	16.4%	10.2%	12.9%	8.3%	19.9%	11.7%
Upper	Count	288	4,238	104	1,506	184	2,732
	% within race	12.9%	6.2%	10.1%	5.4%	15.3%	6.8%