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State markets/Utah/Wayne County

COUNTY MORTGAGE MARKET · FIPS 49055

Wayne County, Utah

Who lends in Wayne County, how much, and to whom — built from HMDA public mortgage disclosure data, U.S. Census ACS housing estimates and FEMA's National Risk Index.

Origination volume · 2025

$16.0M

Origination volumeSum of loan amount over HMDA records with action taken = 1.

Originations · 2025

60

OriginationsCount of HMDA records with action taken = 1 (loan originated) in the activity year.

Denial rate · 2025

17.3%

Denial rateApplications denied (action taken = 3) divided by applications acted upon (actions 1-5).

Lenders active · 2025

35

Lenders activeDistinct LEIs with at least one application acted upon (HMDA action taken 1-5, 7 or 8) in the county and year.

Market structure

How spread out lending is across the 35 lenders that originated in Wayne County in 2025. HHI is the Herfindahl-Hirschman index over lender shares.

Concentration (HHI)

734

unconcentrated

Top-5 lender share

51.4%

of originations

Purchase

51.2%

21 loans

Refinance

48.8%

20 loans

Origination trend

Annual mortgage origination volume and loan count in Wayne County, 2023–2025. Pick a window, export the graph or its data, or click a year to open every record behind it.

Lenders in Wayne County

Sort, filter, add columns, export, or open a row for the lender's card. Each row links to the lender's company page and to its Wayne County loan records. The panel states which source answered and exactly which lenders that source covers.

ORIGINATION FLOOR
Hide the long tail of lenders with only a handful of loans here.
FULL RECORD LIST FOR WAYNE COUNTY

TOP TEN LENDERS IN WAYNE COUNTY · 10

The ten largest lenders by origination volume — the precomputed county leaderboard, not the whole market.

1–10 OF 10 LENDERS

Loading every lender that acted on an application in this county. The rows below are the precomputed county leaderboard — the ten largest by volume, not the whole market.

12$2.3M$2.3M originated in Wayne County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
7$2.2M$2.2M originated in Wayne County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
8$1.4M$1.4M originated in Wayne County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
3$1.3M$1.3M originated in Wayne County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
2$1.0M$1.0M originated in Wayne County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
3$985K$985K originated in Wayne County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
2$820K$820K originated in Wayne County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
4$730K$730K originated in Wayne County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
1$525K$525K originated in Wayne County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
1$415K$415K originated in Wayne County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.

Source: the precomputed county lender leaderboard (lender_county_year) — its ten largest lenders by origination volume, not the county. As of HMDA activity year 2025. Denial rate = denials / decisioned applications (originated + approved-but-not-accepted + denied).

ZIP areas in Wayne County

All 6 ZIP Code Tabulation Areas that touch Wayne County, built by grouping the county's census tracts through the Census 2020 crosswalk. A ZCTA approximates a USPS ZIP code; HMDA itself reports no postal geography, so each row opens the tracts behind it, where the records are exact.

TRACT FLOOR
Hide the ZIP areas that only clip a corner of this county.
6 OF 6 ZIP AREASEVERY ZIP AREA TOUCHING THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
11 of the 1 Wayne County tract this ZIP area touches sit mostly inside it.2,4868.8%730OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
0This ZIP area clips 1 tract of Wayne County but is the dominant ZIP for none of them, so it owns no figures here.TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
0This ZIP area clips 1 tract of Wayne County but is the dominant ZIP for none of them, so it owns no figures here.TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
0This ZIP area clips 1 tract of Wayne County but is the dominant ZIP for none of them, so it owns no figures here.TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
0This ZIP area clips 1 tract of Wayne County but is the dominant ZIP for none of them, so it owns no figures here.TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
0This ZIP area clips 1 tract of Wayne County but is the dominant ZIP for none of them, so it owns no figures here.TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.

1 of Wayne County’s 2 census tracts are grouped into the ZIP areas above; the other 1 lie in no ZCTA at all — water, parkland or unpopulated area the Census leaves outside every ZIP polygon — and are listed in the census-tract table below. The two add up to the county exactly, because each tract is counted once. A ZCTA — ZIP Code Tabulation Area — is the U.S. Census Bureau's area approximation of a USPS ZIP code, not the ZIP code itself. HMDA reports no postal geography at all, so these rows are census tracts grouped by the Census 2020 tract-to-ZCTA relationship file: each tract is counted once, in the single ZCTA covering the most of its land. Housing figures are HMDA tract attributes for activity year 2025, summed over the tracts each ZIP area owns — a ZIP area that owns no tract shows an em-dash, never a zero.

Census tracts in Wayne County

All 2 tracts, with the FFIEC income character and HMDA housing attributes of each. Open a tract for its own lender ranking, or open its records directly.

2 OF 2 TRACTSEVERY TRACT IN THE COUNTY — NO ROWS WITHHELD
TRACTINCOME LEVEL% OF MSA INCOMEPOPULATIONMINORITY %TOP LENDERRECORDS
Middle85.4%2,4868.8%OPEN →
Middle85.4%OPEN →

Source: FFIEC census-tract file (income level, MSA, urban/rural) and HMDA tract attributes (population, minority share, housing units), latest loaded activity year. The whole county is listed — the table is filtered and paged in the browser over the complete set, never a server-side slice of it.

Housing & households

U.S. Census American Community Survey 2024 estimates — the demand side behind the lending figures above.

Population

2,584

Median household income

$76,607

Median home value

$411,800

Median gross rent

$884

per month

Owner-occupied

79.3%

of occupied units

Housing units

1,735

33.4% vacant

Poverty rate

10.6%

Unemployment

2.1%

Natural-hazard exposure

FEMA National Risk Index ratings for this county — expected annual loss, social vulnerability and community resilience, plus the individual perils rated Relatively High or above.

Overall risk

Very Low

score 1.9

Social vulnerability

Relatively Moderate

Community resilience

Relatively Low

Federal disaster history

Months in which a FEMA disaster declaration was active in this county, from the declarations series.

Months with an active declaration

45

Declarations recorded

4

Incident types on record: Biological, Coastal Storm, Drought.

Everything we hold on Wayne County

12 data areas have rows for this county. Each one is one click away below; the 18 we checked and did not find at county grain are named at the end with the reason.

LOAN-LEVEL

The individual HMDA application and origination records behind every figure on this page, pre-filtered to Wayne County.

HMDA loan-level (hmda_loan_wide, county_code)

Open the loan explorer for Wayne CountyEvery reported application and origination in FIPS 49055, filterable on rate, amount, income, purpose and action taken. Loan-level tier.

VA

VA-guaranteed lending in Wayne County by fiscal year — the veteran channel, which HMDA counts but does not separate from the rest of the government book at this grain.

VA Loan Guaranty geographic loan volume (va_geo_loan_volume, county_fips), folded to fiscal year

VA loans · FY2026

2

Purchase share

0.0%

0 loans

IRRRL refinances

1

Cash-out refinances

1

20262011
20241100
20231100
2022111
20217250
20203021
20192101
20183201
20172101
20151001

The most recent fiscal year is partial until VA closes it. This file carries no lender key, so VA volume cannot be attributed to a company.

BUILDING PERMITS

New residential units authorised in Wayne County — the supply-side leading indicator that runs ahead of purchase originations.

Census Building Permits Survey county series (census_building_permits, geo_id at geo_level 'county')

HOUSING SUPPLY · CENSUS BUILDING PERMITS

Wayne County building permits

New privately-owned housing units authorized by building permits — the supply-side leading indicator that runs ahead of housing starts and the purchase-origination pipeline. Single-family (SF, 1-unit) vs. multifamily (MF, 2+ units), by year.

Single-family · 2025

29

+38.1% vs 2024

Multifamily · 2025

0

−100.0% vs 2024

Total authorized · 2025

29

+20.8% vs 2024

Permit valuation · 2025

$10.9M

authorized construction value

Units authorized by year

Wayne County · total permitted units · hover for the single-family split

UNITS · SF IN TOOLTIP
013253850199019921994199619982000200220042006200820102012201420162018202020222024202529 units

Source: U.S. Census Bureau Building Permits Survey (BPS), imputed totals (the published “units authorized” headline). SF = 1-unit; MF = 2+ units. Public no-login Census data. Attribution.

MIGRATION & WEALTH

IRS county-to-county migration flows for Wayne County, showing population movement and wealth transfer.

IRS county-to-county migration flows (irs_county_migration, self_geoid)

inflow2223Other flows - West, DS
outflow2223Other flows - South, DS
outflow2223Other flows - Midwest, DS
inflow2223Other flows - Northeast, DS
inflow2223Other flows - Midwest, DS
inflow2223Other flows - South, DS
outflow2223Other flows - Northeast, DS
outflow2223Other flows - West, DS2239$1.6M
inflow2122Foreign - Other flows, FR
outflow2122Other flows - Midwest, DS
outflow2122Other flows - South, DS
outflow2122Other flows - West, DS
inflow2122Other flows - Northeast, DS
inflow2122Other flows - Midwest, DS
inflow2122Other flows - South, DS
inflow2122Other flows - West, DS3251$2.2M
outflow2021Other flows - Northeast, DS
outflow2021Other flows - Midwest, DS
outflow2021Other flows - South, DS
outflow2021Other flows - West, DS
inflow2021Other flows - Midwest, DS
inflow2021Other flows - South, DS
inflow2021Other flows - West, DS3056$2.7M
outflow1920Other flows - Northeast, DS
outflow1920Other flows - Midwest, DS
outflow1920Other flows - South, DS
outflow1920Other flows - West, DS
inflow1920Other flows - Northeast, DS
inflow1920Other flows - South, DS
inflow1920Other flows - Midwest, DS
inflow1920Other flows - West, DS2237$931K
inflow1920Salt Lake County, UT2139$1.4M
outflow1819Other flows - South, DS
outflow1819Other flows - West, DS
inflow1819Other flows - Northeast, DS
outflow1819Other flows - Midwest, DS
inflow1819Other flows - Midwest, DS
inflow1819Other flows - South, DS
inflow1819Other flows - West, DS
inflow1819Foreign - Other flows, FR
outflow1718Other flows - Midwest, DS
outflow1718Other flows - South, DS
outflow1718Other flows - West, DS
inflow1718Other flows - Northeast, DS
inflow1718Other flows - Midwest, DS
inflow1718Other flows - South, DS
inflow1718Other flows - West, DS2448$1.1M
outflow1617Other flows - West, DS
outflow1617Other flows - Northeast, DS
outflow1617Other flows - Midwest, DS
outflow1617Other flows - South, DS
inflow1617Other flows - Northeast, DS
inflow1617Other flows - Midwest, DS
inflow1617Other flows - South, DS
inflow1617Other flows - West, DS2454$1.5M
inflow1617Salt Lake County, UT2035$1.2M
outflow1516Other flows - South, DS
outflow1516Other flows - West, DS
inflow1516Other flows - Midwest, DS
inflow1516Other flows - South, DS
inflow1516Other flows - West, DS
outflow1516Other flows - Midwest, DS
inflow1415Other flows - South, DS
outflow1415Other flows - Midwest, DS
outflow1415Other flows - South, DS
outflow1415Other flows - West, DS
inflow1415Other flows - Midwest, DS
inflow1415Other flows - West, DS
outflow1314Other flows - Midwest, DS
outflow1314Other flows - South, DS
outflow1314Other flows - West, DS
inflow1314Other flows - South, DS
inflow1314Other flows - West, DS
inflow1314Foreign - Other flows, FR
inflow1213Other flows - Midwest, DS
outflow1213Other flows - Midwest, DS
outflow1213Other flows - South, DS
inflow1213Other flows - South, DS
inflow1213Foreign - Other flows, FR
outflow1213Other flows - West, DS1738$772K
inflow1213Salt Lake County, UT1730$523K
inflow1213Other flows - West, DS1741$772K
outflow1213Salt Lake County, UT1117$393K
inflow1112Other flows - South, DS
outflow1112Other flows - Midwest, DS
outflow1112Other flows - South, DS
inflow1112Other flows - Northeast, DS
inflow1112Other flows - Midwest, DS
outflow1112Other flows - West, DS2149$763K
inflow1112Other flows - West, DS1526$656K
outflow1112Salt Lake County, UT1018$129K

UAD APPRAISALS

FHFA Uniform Appraisal Dataset aggregates for Wayne County.

FHFA UAD aggregate statistics (uad_aggregate_county, geoid) and appraisal-level public use file (uad_puf, county_fips)

2023PurchaseNo CharacteristicAll Appraisals
2023PurchaseNo CharacteristicAll Appraisals
2023RefinanceNo CharacteristicAll Appraisals
2023PurchaseNo CharacteristicAll Appraisals
2023BothNo CharacteristicAll Appraisals21.0
2023PurchaseNo CharacteristicAll Appraisals
2023PurchaseNo CharacteristicAll Appraisals
2023RefinanceNo CharacteristicAll Appraisals
2023BothNo CharacteristicAll Appraisals575,000.0
2023PurchaseNo CharacteristicAll Appraisals
2023PurchaseNo CharacteristicAll Appraisals
2022PurchaseNo CharacteristicAll Appraisals1.1
2022BothNo CharacteristicAll Appraisals477,500.0
2022PurchaseNo CharacteristicAll Appraisals0.0
2022PurchaseNo CharacteristicAll Appraisals432,000.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022RefinanceNo CharacteristicAll Appraisals24.0
2022PurchaseNo CharacteristicAll Appraisals0.2
2022PurchaseNo CharacteristicAll Appraisals0.8
2022RefinanceNo CharacteristicAll Appraisals487,500.0
2022BothNo CharacteristicAll Appraisals36.0
2022PurchaseNo CharacteristicAll Appraisals12.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021RefinanceNo CharacteristicAll Appraisals385,000.0
2021BothNo CharacteristicAll Appraisals73.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021PurchaseNo CharacteristicAll Appraisals32.0
2021PurchaseNo CharacteristicAll Appraisals0.1
2021RefinanceNo CharacteristicAll Appraisals41.0
2021PurchaseNo CharacteristicAll Appraisals0.2
2021BothNo CharacteristicAll Appraisals369,000.0
2021PurchaseNo CharacteristicAll Appraisals0.7
2021PurchaseNo CharacteristicAll Appraisals363,500.0
2020PurchaseNo CharacteristicAll Appraisals0.0
2020PurchaseNo CharacteristicAll Appraisals1.1
2020BothNo CharacteristicAll Appraisals91.0
2020PurchaseNo CharacteristicAll Appraisals23.0
2020PurchaseNo CharacteristicAll Appraisals0.8
2020BothNo CharacteristicAll Appraisals375,000.0
2020RefinanceNo CharacteristicAll Appraisals388,500.0
2020RefinanceNo CharacteristicAll Appraisals68.0
2020PurchaseNo CharacteristicAll Appraisals280,000.0
2020PurchaseNo CharacteristicAll Appraisals0.9
2020PurchaseNo CharacteristicAll Appraisals0.2
2019PurchaseNo CharacteristicAll Appraisals0.1
2019PurchaseNo CharacteristicAll Appraisals1.0
2019BothNo CharacteristicAll Appraisals265,000.0
2019PurchaseNo CharacteristicAll Appraisals28.0
2019PurchaseNo CharacteristicAll Appraisals0.3
2019PurchaseNo CharacteristicAll Appraisals1.0
2019RefinanceNo CharacteristicAll Appraisals326,000.0
2019BothNo CharacteristicAll Appraisals61.0
2019RefinanceNo CharacteristicAll Appraisals33.0
2019PurchaseNo CharacteristicAll Appraisals250,000.0
2019PurchaseNo CharacteristicAll Appraisals0.6
2018RefinanceNo CharacteristicAll Appraisals218,000.0
2018BothNo CharacteristicAll Appraisals45.0
2018PurchaseNo CharacteristicAll Appraisals18.0
2018RefinanceNo CharacteristicAll Appraisals27.0
2018BothNo CharacteristicAll Appraisals218,000.0
2018PurchaseNo CharacteristicAll Appraisals217,500.0
2018PurchaseNo CharacteristicAll Appraisals0.7
2018PurchaseNo CharacteristicAll Appraisals0.0
2018PurchaseNo CharacteristicAll Appraisals0.3
2018PurchaseNo CharacteristicAll Appraisals1.0
2018PurchaseNo CharacteristicAll Appraisals1.1
2017RefinanceNo CharacteristicAll Appraisals
2017PurchaseNo CharacteristicAll Appraisals
2017PurchaseNo CharacteristicAll Appraisals
2017PurchaseNo CharacteristicAll Appraisals
2017PurchaseNo CharacteristicAll Appraisals
2017BothNo CharacteristicAll Appraisals34.0
2017PurchaseNo CharacteristicAll Appraisals
2017PurchaseNo CharacteristicAll Appraisals
2017RefinanceNo CharacteristicAll Appraisals
2017PurchaseNo CharacteristicAll Appraisals
2017BothNo CharacteristicAll Appraisals191,000.0
2016PurchaseNo CharacteristicAll Appraisals15.0
2016RefinanceNo CharacteristicAll Appraisals208,000.0
2016PurchaseNo CharacteristicAll Appraisals0.9
2016PurchaseNo CharacteristicAll Appraisals152,000.0
2016PurchaseNo CharacteristicAll Appraisals0.9
2016PurchaseNo CharacteristicAll Appraisals0.0
2016BothNo CharacteristicAll Appraisals175,000.0
2016PurchaseNo CharacteristicAll Appraisals1.1
2016PurchaseNo CharacteristicAll Appraisals0.1
2016BothNo CharacteristicAll Appraisals39.0
2016RefinanceNo CharacteristicAll Appraisals24.0
2015PurchaseNo CharacteristicAll Appraisals1.1
2015PurchaseNo CharacteristicAll Appraisals174,500.0
2015PurchaseNo CharacteristicAll Appraisals0.1
2015RefinanceNo CharacteristicAll Appraisals285,000.0
2015BothNo CharacteristicAll Appraisals34.0
2015RefinanceNo CharacteristicAll Appraisals18.0
2015PurchaseNo CharacteristicAll Appraisals0.1
2015PurchaseNo CharacteristicAll Appraisals0.8
2015PurchaseNo CharacteristicAll Appraisals16.0
2015BothNo CharacteristicAll Appraisals243,500.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2014BothNo CharacteristicAll Appraisals190,000.0

ECONOMY & INCOME

Local economy indicators — BLS unemployment rates and BEA personal income for Wayne County.

BLS Local Area Unemployment Statistics (bls_laus_county_month, geoid) and BEA personal income (bea_county_income, geo_fips)

BLS Local Area Unemployment

2026-051,3961,339574.1%
2026-041,3691,310594.3%
2026-031,4311,346855.9%
2026-021,3421,2231198.9%
2026-011,3501,2371138.4%
2025-121,3311,2301017.6%
2025-111,3381,272664.9%
2025-091,3861,339473.4%
2025-081,3861,328584.2%
2025-071,4011,339624.4%
2025-061,3911,334574.1%
2025-051,3511,295564.1%
2025-041,3641,296685.0%
2025-031,4551,367886.0%
2025-021,3681,2421269.2%
2025-011,3751,2631128.1%
2024-121,2981,201977.5%
2024-111,2831,226574.4%
2024-101,3651,320453.3%
2024-091,3971,352453.2%
2024-081,4181,361574.0%
2024-071,3791,317624.5%
2024-061,3851,327584.2%
2024-051,3351,277584.3%
2024-041,3621,296664.8%
2024-031,3921,296966.9%
2024-021,2881,1611279.9%
2024-011,2401,1331078.6%
2023-121,2101,114967.9%
2023-111,2481,195534.2%
2023-101,2761,237393.1%
2023-091,3111,270413.1%
2023-081,3611,312493.6%
2023-071,3441,290544.0%
2023-061,4381,386523.6%
2023-051,4441,387573.9%
2023-041,4031,348553.9%
2023-031,3271,240876.6%
2023-021,2621,1501128.9%
2023-011,1981,0821169.7%
2022-121,2251,133927.5%
2022-111,2181,154645.3%
2022-101,2611,218433.4%
2022-091,2791,234453.5%
2022-081,3331,287463.5%
2022-071,3501,300503.7%
2022-061,3221,268544.1%
2022-051,3451,292533.9%
2022-041,3351,279564.2%
2022-031,2211,139826.7%
2022-021,1971,0851129.4%
2022-011,087988999.1%
2021-121,1191,048716.3%
2021-111,1511,103484.2%
2021-101,1801,143373.1%
2021-091,2471,207403.2%
2021-081,2661,216503.9%
2021-071,3261,268584.4%
2021-061,3181,251675.1%
2021-051,3111,256554.2%
2021-041,2761,207695.4%
2021-031,1911,096958.0%
2021-021,1481,03011810.3%
2021-011,10599211310.2%
2020-121,1591,064958.2%
2020-111,2141,142725.9%
2020-101,2461,195514.1%
2020-091,2441,183614.9%
2020-081,2541,189655.2%
2020-071,2501,161897.1%
2020-061,2701,1571138.9%
2020-051,2141,06015412.7%
2020-041,2191,00421517.6%
2020-031,1881,06612210.3%
2020-021,1481,01613211.5%
2020-011,11497613812.4%
2019-121,1291,0181119.8%
2019-111,1851,123625.2%
2019-101,2501,212383.0%
2019-091,2371,198393.2%
2019-081,2391,196433.5%
2019-071,2331,185483.9%
2019-061,2771,220574.5%
2019-051,2401,185554.4%
2019-041,2341,175594.8%
2019-031,1521,066867.5%
2019-021,09497112311.2%
2019-011,10294216014.5%
2018-121,10098411610.5%
2018-111,1261,062645.7%
2018-101,2141,176383.1%
2018-091,2281,187413.3%
2018-081,2591,210493.9%
2018-071,3051,252534.1%
2018-061,3171,256614.6%
2018-051,2641,201635.0%
2018-041,2561,188685.4%
2018-031,2141,1131018.3%
2018-021,10497313111.9%
2018-011,12697015613.9%

BEA Personal Income

2024$157.6M2,608$60K
2023$146.8M2,613$56K
2022$138.8M2,632$53K
2021$135.0M2,563$53K
2020$123.8M2,506$49K
2019$110.9M2,474$45K
2018$104.9M2,453$43K
2017$98.6M2,519$39K
2016$89.9M2,516$36K
2015$89.0M2,559$35K
2014$85.5M2,589$33K
2013$76.9M2,631$29K
2012$72.5M2,648$27K
2011$77.7M2,711$29K
2010$74.5M2,766$27K
2009$71.7M2,788$26K
2008$73.0M2,731$27K
2007$65.6M2,648$25K
2006$57.6M2,594$22K
2005$59.4M2,510$24K
2004$58.7M2,505$23K
2003$58.8M2,527$23K
2002$59.5M2,559$23K
2001$59.4M2,532$23K
2000$45.6M2,533$18K
1999$44.1M2,442$18K
1998$42.1M2,413$17K
1997$37.6M2,442$15K
1996$35.2M2,421$15K
1995$33.0M2,355$14K
1994$29.6M2,284$13K
1993$27.2M2,236$12K
1992$25.8M2,141$12K
1991$11K

NFIP FLOOD CLAIMS

FEMA National Flood Insurance Program (NFIP) realised flood loss claims in Wayne County.

FEMA NFIP redacted claims (nfip_claim, county_code)

LOSS DATETOTAL PAIDBUILDINGCONTENTSPRIMARY RES
1983-08-11$0No
1983-07-01$0No

ALSO CHECKED

18 more data areas were checked for Wayne County and did not earn a tab. A missing tab and an unasked question look the same on screen, so each one is named with the reason it is missing.

  • WRONG GRAIN
    FHA

    FHA Neighborhood Watch DOES publish county rows, but keys them on a free-text county NAME (“CHITTENDEN|VT”), not a FIPS code, and the single-family endorsement snapshot's property_county is likewise free text. Joining either to a county FIPS by name would attribute one county's delinquency to another wherever a name repeats, so FHA is a state-grain tab only until a curated name→FIPS crosswalk exists

  • WRONG GRAIN
    Fannie / Freddie

    the FHFA public-use database publishes single-family acquisitions at STATE and CENSUS-TRACT grain; no county rollup is published or loaded, and rolling tracts up to counties would double-count the tracts that straddle a county line

  • WRONG GRAIN
    GSE credit-risk transfer

    CAS and STACR loan-level disclosures publish PROPERTY STATE and a 3-digit zip; neither carries a county code, so credit-risk-transfer collateral cannot be attributed to a county

  • WRONG GRAIN
    Ginnie Mae

    Ginnie Mae's loan-level disclosure publishes PROPERTY STATE and nothing finer — there is no county, ZIP or tract field in the file, so agency-pool collateral has no county grain at all. The same is true of the UMBS pool file (fhfa_mbs_pool), which carries only CA/NY/FL/TX/PR concentration percentages

  • WRONG GRAIN
    Housing finance agency

    a housing finance agency is a STATE-chartered body — county is not a grain it has. Its programmes reach counties, but the agency itself is one row per state: hfa_agency is keyed on state_code and carries no county column, and there is no county-level agency underneath it to aggregate from

  • WRONG GRAIN
    CUSO network

    the NCUA CUSO Registry publishes a CUSO's city and STATE and no county at all (cuso_registry, migration 0195). A county FIPS does exist on the member-credit-union side (cuso_credit_union_link.cu_county_fips), but it is the CREDIT UNION'S CHARTER ADDRESS — where the institution is registered, not where the mortgage service it buys is delivered — so a county tab built on it would pin a statewide, often multi-state, service relationship onto the one county a charter document happens to name

  • WRONG GRAIN
    Subservicing map

    the same absence, one grain finer: subservicing_relationships holds no property or collateral column at all, so there is nothing to aggregate to a county. Where a client is a state HFA, the state housing finance agency area on this hub carries that agency and its named master servicer at its own state grain

  • WRONG GRAIN
    Co-issue MSR

    the same absence, and worse at county grain: Ginnie's loan-level disclosure publishes property STATE and nothing finer — no county, ZIP or tract field exists in the file — so even the collateral split that is rejected above at state grain is not available here at all

  • WRONG GRAIN
    MSR transfer graph

    the same absence at a finer grain, with no additional route to one: ginnie_servicing_transfers has no county column and the Ginnie loan-level disclosure it would have to be joined to publishes property state and nothing finer — no county, ZIP or tract field exists in either file

  • WRONG GRAIN
    Builder & realtor JV

    the same absence, one grain finer: the affiliation corpus has no geographic column at all, so nothing can be aggregated to a county. The affiliate lender's actual county-level originations are on the HMDA area of the county hub, keyed on the lender rather than on its parent

  • WRONG GRAIN
    Non-QM deal calendar

    the same structural gap, one grain finer: a 144A non-QM deal publishes no asset-level file at all, so there is no loan, no property and therefore no county to attribute anything to. This is the one absence on this hub that no future load can close

  • WRONG GRAIN
    Agency-MBS demand

    the same absence, and Ginnie's disclosure has no county field at any grain, so even the collateral allocation that is rejected above at state grain cannot be computed here

  • WRONG GRAIN
    Complaints-rate stack

    the same broken denominator, plus a numerator that does not reach county either: the CFPB publishes a complaint's state and a partially redacted ZIP and no county, so neither half of this ratio exists at county grain

  • WRONG GRAIN
    NMLS licensing

    NMLS licences are issued by a STATE regulator and the industry report is published by state agency and quarter; there is no county in the licensing system to aggregate to

  • WRONG GRAIN
    CFPB complaints

    the CFPB publishes a complaint's STATE and a partially redacted ZIP; it publishes no county, and deriving one from a redacted ZIP would put complaints in the wrong county wherever a ZIP straddles a county line

  • WRONG GRAIN
    State enforcement

    enforcement orders are issued by a STATE regulator against a licensee; they carry no property or county

  • WRONG GRAIN
    WARN notices

    a WARN notice names an employer, a CITY and a region — no county code — and matching city to county by name is ambiguous in most states

  • WRONG GRAIN
    Mortgage employment

    the QCEW extract loaded here holds STATE and METRO area types only — the county-level QCEW file is a separate, far larger download that is not loaded, so county mortgage employment cannot be shown honestly

Several of the areas above are published only at state grain. They are all on the UT state hub, which carries the same registry at the grain those sources actually have.

Go deeper

EVERY HMDA RECORD IN WAYNE COUNTYOpens the loan explorer already filtered to county FIPS 49055.

See the Utah state market profile for the statewide picture, the Utah state hub for every dataset we hold on the state in one place, or the national lender leaderboard for who is largest across every market.

Sources: HMDA public loan-level disclosure (CFPB/FFIEC) aggregated to county-year; U.S. Census Bureau American Community Survey; FEMA National Risk Index and disaster declarations. Figures are as loaded — see data attribution.

Fair-lending context: denial rates and demographic figures shown here are descriptive statistics derived from public HMDA and U.S. Census data. HMDA does not contain the credit, income, or underwriting variables that explain most lending outcomes, so a difference between lenders or areas is a statistical observation about published data — not evidence of, and not a determination of, discrimination or redlining by any institution.