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State markets/Wisconsin/Richland County

COUNTY MORTGAGE MARKET · FIPS 55103

Richland County, Wisconsin

Who lends in Richland 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

$58.2M

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

Originations · 2025

294

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

Denial rate · 2025

13.6%

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

Lenders active · 2025

90

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 90 lenders that originated in Richland County in 2025. HHI is the Herfindahl-Hirschman index over lender shares.

Concentration (HHI)

536

unconcentrated

Top-5 lender share

45.0%

of originations

Purchase

54.1%

139 loans

Refinance

45.9%

118 loans

Origination trend

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

Lenders in Richland 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 Richland 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 RICHLAND COUNTY

TOP TEN LENDERS IN RICHLAND 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.

30$6.4M$6.4M originated in Richland County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
51$6.0M$6.0M originated in Richland County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
19$5.7M$5.7M originated in Richland County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
1$4.9M$4.9M originated in Richland County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
23$3.2M$3.2M originated in Richland County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
12$2.9M$2.9M originated in Richland County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
17$2.5M$2.5M originated in Richland County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
10$2.1M$2.1M originated in Richland County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
7$1.9M$1.9M originated in Richland County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
6$1.6M$1.6M originated in Richland 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 Richland County

All 15 ZIP Code Tabulation Areas that touch Richland 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.
15 OF 15 ZIP AREASEVERY ZIP AREA TOUCHING THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
33 of the 5 Richland County tracts this ZIP area touches sit mostly inside it.10,4947.9%3,252TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
11 of the 2 Richland County tracts this ZIP area touches sit mostly inside it.4,0477.8%1,389OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 2 Richland County tracts this ZIP area touches sit mostly inside it.2,7635.1%1,081OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
0This ZIP area clips 1 tract of Richland 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 2 tracts of Richland 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 2 tracts of Richland 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 Richland 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 Richland 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 Richland 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 Richland 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 Richland 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 2 tracts of Richland 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 Richland 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 Richland 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 2 tracts of Richland 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.

5 of Richland County’s 6 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 Richland County

All 6 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.

6 OF 6 TRACTSEVERY TRACT IN THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
Middle90.5%2,7635.1%OPEN →
Middle95.0%4,5724.1%OPEN →
Middle99.0%2,4689.4%OPEN →
Middle84.4%3,45412.1%OPEN →
Middle88.2%4,0477.8%OPEN →
Middle91.2%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

17,205

Median household income

$66,420

Median home value

$197,500

Median gross rent

$771

per month

Owner-occupied

73.9%

of occupied units

Housing units

8,532

15.0% vacant

Poverty rate

14.5%

Unemployment

3.6%

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

Relatively Low

score 51.6

Social vulnerability

Relatively High

Community resilience

Relatively High

Federal disaster history

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

Months with an active declaration

74

Declarations recorded

19

Incident types on record: Biological, Drought, Flood, Hurricane, Severe Storm, Tornado.

Everything we hold on Richland 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 Richland County.

HMDA loan-level (hmda_loan_wide, county_code)

Open the loan explorer for Richland CountyEvery reported application and origination in FIPS 55103, filterable on rate, amount, income, purpose and action taken. Loan-level tier.

VA

VA-guaranteed lending in Richland 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

12

Purchase share

33.3%

4 loans

IRRRL refinances

4

Cash-out refinances

4

202612444
202516853
202411632
202312624
20221111
2021279153
2020225116
201914338
201811614
2017191144
2016221066
201514545

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 Richland 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

Richland 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

86

+218.5% vs 2024

Multifamily · 2025

6

Total authorized · 2025

92

+240.7% vs 2024

Permit valuation · 2025

$14.4M

authorized construction value

Units authorized by year

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

UNITS · SF IN TOOLTIP
050100150200199019921994199619982000200220042006200820102012201420162018202020222024202592 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 Richland County, showing population movement and wealth transfer.

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

outflow2223Other flows - West, DS
inflow2223Foreign - Other flows, FR
inflow2223Other flows - South, DS
inflow2223Other flows - Northeast, DS
outflow2223Foreign - Other flows, FR
outflow2223Other flows - Northeast, DS
outflow2223Sauk County, WI73122$3.7M
inflow2223Sauk County, WI69146$3.9M
outflow2223Grant County, WI56102$2.4M
outflow2223Dane County, WI5272$2.7M
inflow2223Grant County, WI5196$3.5M
inflow2223Dane County, WI3859$1.8M
outflow2223Vernon County, WI3554$1.8M
inflow2223Vernon County, WI3468$3.1M
inflow2223Other flows - Midwest, DS3251$1.7M
inflow2223Iowa County, WI2956$1.6M
outflow2223Other flows - Midwest, DS2951$1.4M
outflow2223Iowa County, WI2546$717K
outflow2223Other flows - South, DS2248$1.6M
inflow2223Other flows - West, DS2028$1.3M
outflow2122Other flows - West, DS
outflow2122Other flows - Northeast, DS
inflow2122Other flows - Northeast, DS
inflow2122Sauk County, WI73144$3.8M
inflow2122Dane County, WI6698$4.1M
outflow2122Sauk County, WI66126$3.3M
inflow2122Grant County, WI5797$2.3M
inflow2122Other flows - Midwest, DS5183$3.6M
outflow2122Grant County, WI4065$1.7M
outflow2122Other flows - Midwest, DS3566$1.5M
inflow2122Vernon County, WI3376$1.9M
outflow2122Vernon County, WI3148$1.4M
inflow2122Iowa County, WI3152$1.4M
outflow2122Dane County, WI2734$1.2M
inflow2122Other flows - South, DS2355$1.1M
inflow2122Other flows - West, DS2238$1.3M
outflow2122Other flows - South, DS2241$1.3M
outflow2122Iowa County, WI2036$919K
outflow2021Other flows - Northeast, DS
inflow2021Other flows - Northeast, DS
outflow2021Sauk County, WI62116$3.1M
outflow2021Grant County, WI61101$2.7M
inflow2021Sauk County, WI5590$2.6M
inflow2021Grant County, WI5295$2.0M
inflow2021Dane County, WI4771$3.2M
outflow2021Dane County, WI4157$2.8M
inflow2021Vernon County, WI4063$1.8M
inflow2021Other flows - Midwest, DS3870$2.5M
outflow2021Iowa County, WI3357$1.2M
outflow2021Other flows - Midwest, DS3359$2.1M
inflow2021Other flows - South, DS3149$1.3M
inflow2021Iowa County, WI2958$1.1M
outflow2021Vernon County, WI2757$1.1M
inflow2021Other flows - West, DS2645$1.2M
outflow2021Other flows - South, DS2436$1.3M
outflow2021Other flows - West, DS2333$1.1M
outflow1920Other flows - Northeast, DS
inflow1920Other flows - Northeast, DS
outflow1920Foreign - Other flows, FR
inflow1920Grant County, WI68119$2.8M
outflow1920Sauk County, WI66113$3.0M
inflow1920Sauk County, WI61118$2.7M
outflow1920Dane County, WI5175$2.2M
outflow1920Grant County, WI4686$1.6M
inflow1920Dane County, WI4266$2.6M
inflow1920Vernon County, WI4282$9.9M
outflow1920Vernon County, WI3980$1.8M
inflow1920Other flows - Midwest, DS3688$2.7M
outflow1920Other flows - Midwest, DS3181$1.1M
inflow1920Iowa County, WI2848$1.1M
inflow1920Other flows - West, DS2752$1.4M
inflow1920Other flows - South, DS2766$1.6M
outflow1920Other flows - South, DS2741$1.1M
outflow1920Iowa County, WI2243$622K
inflow1920Crawford County, WI2134$952K
outflow1920Other flows - West, DS2046$746K
inflow1819Other flows - West, DS
outflow1819Other flows - Northeast, DS
outflow1819Other flows - South, DS
outflow1819Other flows - West, DS
outflow1819Foreign - Other flows, FR
inflow1819Other flows - South, DS
outflow1819Sauk County, WI69123$3.5M
inflow1819Sauk County, WI6498$2.6M
outflow1819Grant County, WI5099$1.9M
inflow1819Grant County, WI4888$2.1M
outflow1819Other flows - Midwest, DS4072$2.6M
inflow1819Other flows - Midwest, DS3974$1.4M
inflow1819Dane County, WI3748$1.8M
outflow1819Dane County, WI3756$2.4M
outflow1819Vernon County, WI3456$1.1M
inflow1819Vernon County, WI2653$1.3M
outflow1819Iowa County, WI2448$773K
inflow1819Iowa County, WI2053$931K
inflow1718Other flows - West, DS
outflow1718Other flows - Northeast, DS
outflow1718Other flows - South, DS
outflow1718Other flows - West, DS
outflow1718Foreign - Other flows, FR
inflow1718Other flows - Northeast, DS
inflow1718Grant County, WI66130$2.0M
inflow1718Sauk County, WI65116$2.5M
outflow1718Sauk County, WI63140$3.0M
outflow1718Grant County, WI60112$1.8M
outflow1718Dane County, WI4050$1.4M
inflow1718Vernon County, WI3568$1.7M
outflow1718Other flows - Midwest, DS3482$1.8M
inflow1718Other flows - Midwest, DS3470$2.5M
outflow1718Vernon County, WI3157$1.2M
inflow1718Iowa County, WI2854$1.2M
outflow1718Iowa County, WI2644$805K
inflow1718Dane County, WI2635$1.3M
inflow1718Other flows - South, DS2237$1.1M
outflow1617Other flows - Northeast, DS
inflow1617Other flows - West, DS
inflow1617Other flows - Northeast, DS
outflow1617Sauk County, WI101203$4.8M
inflow1617Grant County, WI91149$3.0M
inflow1617Sauk County, WI76158$2.9M
inflow1617Dane County, WI71120$3.0M
outflow1617Grant County, WI66114$2.2M
inflow1617Vernon County, WI61135$2.3M
outflow1617Dane County, WI6189$2.7M
inflow1617Other flows - Midwest, DS51104$2.7M
outflow1617Other flows - Midwest, DS4167$1.8M
outflow1617Vernon County, WI3869$1.2M
inflow1617Iowa County, WI3762$1.2M
inflow1617Other flows - South, DS3260$1.5M
outflow1617Other flows - South, DS2960$1.1M
outflow1617Iowa County, WI2750$901K
outflow1617Other flows - West, DS2435$1.0M
outflow1617La Crosse County, WI2031$567K
inflow1516Other flows - West, DS
outflow1516Other flows - Northeast, DS
outflow1516Other flows - South, DS
outflow1516Other flows - West, DS
outflow1516Foreign - Other flows, FR
inflow1516Other flows - Northeast, DS
inflow1516Other flows - South, DS
outflow1516Sauk County, WI88162$4.1M
inflow1516Grant County, WI55111$2.1M
inflow1516Dane County, WI4879$2.0M
outflow1516Dane County, WI4669$1.5M
outflow1516Grant County, WI4577$1.6M
inflow1516Sauk County, WI4397$1.7M
outflow1516Vernon County, WI3977$1.4M
inflow1516Other flows - Midwest, DS3874$2.1M
inflow1516Vernon County, WI3762$1.2M
outflow1516Other flows - Midwest, DS3245$1.3M
inflow1516Iowa County, WI2649$782K
outflow1516Iowa County, WI2548$836K
outflow1516La Crosse County, WI2325$779K
inflow1415Foreign - Other flows, FR
outflow1415Other flows - Northeast, DS
outflow1415Other flows - West, DS
outflow1415Foreign - Other flows, FR
inflow1415Other flows - Northeast, DS
inflow1415Other flows - South, DS
inflow1415Other flows - West, DS
outflow1415Grant County, WI4591$1.4M
outflow1415Dane County, WI4157$1.3M
inflow1415Grant County, WI3772$1.1M
inflow1415Sauk County, WI3672$1.2M
outflow1415Sauk County, WI3568$1.8M
outflow1415Vernon County, WI3266$1.9M
outflow1415Other flows - Midwest, DS2846$1.1M
inflow1415Vernon County, WI2744$739K
inflow1415Dane County, WI2641$897K
outflow1415Iowa County, WI2342$1.4M
outflow1415Other flows - South, DS2353$679K
inflow1415Other flows - Midwest, DS2133$702K
inflow1314Foreign - Other flows, FR
outflow1314Other flows - Northeast, DS
outflow1314Other flows - West, DS
outflow1314Foreign - Other flows, FR
inflow1314Other flows - Northeast, DS
inflow1314Other flows - West, DS
outflow1314Sauk County, WI68141$2.7M
inflow1314Sauk County, WI65142$2.3M
inflow1314Grant County, WI63126$2.2M
inflow1314Other flows - Midwest, DS58106$2.5M
outflow1314Grant County, WI4786$1.4M
inflow1314Vernon County, WI47102$1.5M
outflow1314Vernon County, WI4288$1.1M
outflow1314Dane County, WI3972$1.1M
inflow1314Dane County, WI3762$1.3M
outflow1314Other flows - Midwest, DS3062$1.0M
outflow1314Other flows - South, DS2648$1.2M
inflow1314Iowa County, WI2446$722K
outflow1314Iowa County, WI2345$726K
inflow1314Other flows - South, DS2145$593K
inflow1213Other flows - Northeast, DS
outflow1213Foreign - Other flows, FR
outflow1213Other flows - Northeast, DS
inflow1213Foreign - Other flows, FR
outflow1213Sauk County, WI57115$2.4M
inflow1213Grant County, WI56103$1.7M
outflow1213Dane County, WI5595$2.4M
outflow1213Grant County, WI54101$1.7M
inflow1213Other flows - Midwest, DS5197$1.6M

UAD APPRAISALS

FHFA Uniform Appraisal Dataset aggregates for Richland County.

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

2023PurchaseNo CharacteristicAll Appraisals60.0
2023PurchaseNo CharacteristicAll Appraisals0.2
2023RefinanceNo CharacteristicAll Appraisals27.0
2023PurchaseNo CharacteristicAll Appraisals1.1
2023BothNo CharacteristicAll Appraisals87.0
2023PurchaseNo CharacteristicAll Appraisals0.8
2023PurchaseNo CharacteristicAll Appraisals0.9
2023RefinanceNo CharacteristicAll Appraisals255,000.0
2023BothNo CharacteristicAll Appraisals222,000.0
2023PurchaseNo CharacteristicAll Appraisals217,000.0
2023PurchaseNo CharacteristicAll Appraisals0.1
2022PurchaseNo CharacteristicAll Appraisals1.1
2022BothNo CharacteristicAll Appraisals205,000.0
2022PurchaseNo CharacteristicAll Appraisals0.2
2022PurchaseNo CharacteristicAll Appraisals199,500.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022RefinanceNo CharacteristicAll Appraisals55.0
2022PurchaseNo CharacteristicAll Appraisals0.0
2022PurchaseNo CharacteristicAll Appraisals0.7
2022RefinanceNo CharacteristicAll Appraisals215,000.0
2022BothNo CharacteristicAll Appraisals159.0
2022PurchaseNo CharacteristicAll Appraisals104.0
2021PurchaseNo CharacteristicAll Appraisals1.1
2021RefinanceNo CharacteristicAll Appraisals203,000.0
2021BothNo CharacteristicAll Appraisals254.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021PurchaseNo CharacteristicAll Appraisals122.0
2021PurchaseNo CharacteristicAll Appraisals0.2
2021RefinanceNo CharacteristicAll Appraisals132.0
2021PurchaseNo CharacteristicAll Appraisals0.1
2021BothNo CharacteristicAll Appraisals192,500.0
2021PurchaseNo CharacteristicAll Appraisals0.7
2021PurchaseNo CharacteristicAll Appraisals182,500.0
2020PurchaseNo CharacteristicAll Appraisals0.0
2020PurchaseNo CharacteristicAll Appraisals1.1
2020BothNo CharacteristicAll Appraisals243.0
2020PurchaseNo CharacteristicAll Appraisals104.0
2020PurchaseNo CharacteristicAll Appraisals0.7
2020BothNo CharacteristicAll Appraisals186,000.0
2020RefinanceNo CharacteristicAll Appraisals213,000.0
2020RefinanceNo CharacteristicAll Appraisals139.0
2020PurchaseNo CharacteristicAll Appraisals163,500.0
2020PurchaseNo CharacteristicAll Appraisals0.9
2020PurchaseNo CharacteristicAll Appraisals0.2
2019PurchaseNo CharacteristicAll Appraisals0.1
2019PurchaseNo CharacteristicAll Appraisals1.0
2019BothNo CharacteristicAll Appraisals168,900.0
2019PurchaseNo CharacteristicAll Appraisals109.0
2019PurchaseNo CharacteristicAll Appraisals0.2
2019PurchaseNo CharacteristicAll Appraisals1.2
2019RefinanceNo CharacteristicAll Appraisals207,000.0
2019BothNo CharacteristicAll Appraisals174.0
2019RefinanceNo CharacteristicAll Appraisals65.0
2019PurchaseNo CharacteristicAll Appraisals153,000.0
2019PurchaseNo CharacteristicAll Appraisals0.8
2018RefinanceNo CharacteristicAll Appraisals150,500.0
2018BothNo CharacteristicAll Appraisals152.0
2018PurchaseNo CharacteristicAll Appraisals110.0
2018RefinanceNo CharacteristicAll Appraisals42.0
2018BothNo CharacteristicAll Appraisals132,500.0
2018PurchaseNo CharacteristicAll Appraisals127,200.0
2018PurchaseNo CharacteristicAll Appraisals0.8
2018PurchaseNo CharacteristicAll Appraisals0.1
2018PurchaseNo CharacteristicAll Appraisals0.2
2018PurchaseNo CharacteristicAll Appraisals1.0
2018PurchaseNo CharacteristicAll Appraisals1.2
2017RefinanceNo CharacteristicAll Appraisals140,000.0
2017PurchaseNo CharacteristicAll Appraisals0.9
2017PurchaseNo CharacteristicAll Appraisals1.1
2017PurchaseNo CharacteristicAll Appraisals0.1
2017PurchaseNo CharacteristicAll Appraisals0.1
2017BothNo CharacteristicAll Appraisals198.0
2017PurchaseNo CharacteristicAll Appraisals119.0
2017PurchaseNo CharacteristicAll Appraisals116,000.0
2017RefinanceNo CharacteristicAll Appraisals79.0
2017PurchaseNo CharacteristicAll Appraisals0.8
2017BothNo CharacteristicAll Appraisals125,500.0
2016PurchaseNo CharacteristicAll Appraisals98.0
2016RefinanceNo CharacteristicAll Appraisals165,000.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals130,000.0
2016PurchaseNo CharacteristicAll Appraisals0.7
2016PurchaseNo CharacteristicAll Appraisals0.1
2016BothNo CharacteristicAll Appraisals140,000.0
2016PurchaseNo CharacteristicAll Appraisals1.1
2016PurchaseNo CharacteristicAll Appraisals0.2
2016BothNo CharacteristicAll Appraisals221.0
2016RefinanceNo CharacteristicAll Appraisals123.0
2015PurchaseNo CharacteristicAll Appraisals1.1
2015PurchaseNo CharacteristicAll Appraisals110,000.0
2015PurchaseNo CharacteristicAll Appraisals0.2
2015RefinanceNo CharacteristicAll Appraisals148,000.0
2015BothNo CharacteristicAll Appraisals184.0
2015RefinanceNo CharacteristicAll Appraisals97.0
2015PurchaseNo CharacteristicAll Appraisals0.1
2015PurchaseNo CharacteristicAll Appraisals0.7
2015PurchaseNo CharacteristicAll Appraisals87.0
2015BothNo CharacteristicAll Appraisals126,500.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2014BothNo CharacteristicAll Appraisals133,500.0

ECONOMY & INCOME

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

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

BLS Local Area Unemployment

2026-058,3008,0822182.6%
2026-048,3468,0712753.3%
2026-038,1877,8253624.4%
2026-028,1667,7863804.7%
2026-018,1307,7613694.5%
2025-128,2838,0152683.2%
2025-118,1057,8702352.9%
2025-098,0887,8872012.5%
2025-088,1377,9192182.7%
2025-078,3188,0552633.2%
2025-068,4528,1982543.0%
2025-058,1417,9062352.9%
2025-048,2687,9992693.3%
2025-038,2147,9013133.8%
2025-028,1797,8253544.3%
2025-018,1777,8862913.6%
2024-128,2698,0472222.7%
2024-118,1517,9362152.6%
2024-108,1577,9611962.4%
2024-098,2268,0212052.5%
2024-088,3528,1212312.8%
2024-078,5458,2692763.2%
2024-068,7128,4342783.2%
2024-058,4288,2012272.7%
2024-048,4598,1922673.2%
2024-038,4508,1303203.8%
2024-028,3618,0213404.1%
2024-018,2517,9922593.1%
2023-128,0197,8182012.5%
2023-117,9357,7481872.4%
2023-107,8277,6301972.5%
2023-097,8577,6452122.7%
2023-088,0037,7252783.5%
2023-078,1147,8452693.3%
2023-068,3138,0372763.3%
2023-058,0327,8082242.8%
2023-048,0777,8772002.5%
2023-038,1107,8292813.5%
2023-028,0997,7913083.8%
2023-017,9637,6792843.6%
2022-127,8227,6411812.3%
2022-117,7337,5581752.3%
2022-107,7577,5731842.4%
2022-097,7737,5761972.5%
2022-087,9507,7312192.8%
2022-078,0547,7922623.3%
2022-068,2407,9712693.3%
2022-057,9507,7482022.5%
2022-048,0607,8272332.9%
2022-038,2737,9453284.0%
2022-028,1217,7923294.1%
2022-018,1157,7963193.9%
2021-128,0747,8642102.6%
2021-117,9207,7281922.4%
2021-107,9697,7662032.5%
2021-098,0087,7872212.8%
2021-088,1037,8132903.6%
2021-078,2217,9053163.8%
2021-068,3678,0133544.2%
2021-058,1447,8383063.8%
2021-048,2277,8773504.3%
2021-038,2487,8214275.2%
2021-028,1757,7254505.5%
2021-018,2207,7724485.5%
2020-128,3788,0163624.3%
2020-118,2557,9403153.8%
2020-108,2357,9532823.4%
2020-098,2127,8713414.2%
2020-088,2697,8923774.6%
2020-078,3637,8485156.2%
2020-068,5187,9146047.1%
2020-058,2707,5437278.8%
2020-048,3927,3171,07512.8%
2020-038,2417,8783634.4%
2020-028,2417,9133284.0%
2020-018,3147,9743404.1%
2019-128,4188,1782402.9%
2019-118,3078,0882192.6%
2019-108,4108,1782322.8%
2019-098,3868,1522342.8%
2019-088,4198,1482713.2%
2019-078,5188,2502683.1%
2019-068,7218,4183033.5%
2019-058,4098,1532563.0%
2019-048,4288,1752533.0%
2019-038,4128,0493634.3%
2019-028,3348,0023324.0%
2019-018,5798,2453343.9%
2018-128,5298,2842452.9%
2018-118,4648,2821822.2%
2018-108,4428,2601822.2%
2018-098,2888,1011872.3%
2018-088,3038,0902132.6%
2018-078,5828,3422402.8%
2018-068,8108,5362743.1%
2018-058,4898,2732162.5%
2018-048,4628,2322302.7%
2018-038,4538,1423113.7%
2018-028,4408,1173233.8%
2018-018,4668,1613053.6%

BEA Personal Income

2024$974.4M17,123$57K
2023$934.4M17,251$54K
2022$887.6M17,161$52K
2021$890.4M17,205$52K
2020$823.7M17,283$48K
2019$764.7M17,351$44K
2018$745.8M17,450$43K
2017$717.1M17,539$41K
2016$701.6M17,570$40K
2015$691.1M17,589$39K
2014$676.7M17,764$38K
2013$639.9M17,835$36K
2012$627.7M17,824$35K
2011$603.9M18,014$34K
2010$569.3M18,024$32K
2009$538.9M18,112$30K
2008$533.6M18,205$29K
2007$506.2M18,428$27K
2006$483.9M18,299$26K
2005$471.6M18,256$26K
2004$468.3M18,322$26K
2003$451.1M18,106$25K
2002$433.5M17,976$24K
2001$419.7M18,061$23K
2000$388.6M17,979$22K
1999$366.6M17,609$21K
1998$357.0M17,676$20K
1997$338.3M17,728$19K
1996$323.0M17,724$18K
1995$300.3M17,704$17K
1994$299.9M17,713$17K
1993$280.2M17,678$16K
1992$261.9M17,714$15K
1991$14K

NFIP FLOOD CLAIMS

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

FEMA NFIP redacted claims (nfip_claim, county_code)

2022-06-06$3K$3K$0Yes
2018-09-05$18K$12K$6KYes
2018-09-04$1K$1K$0Yes
2018-09-04$3K$3K$0Yes
2018-09-03$27K$24K$3KYes
2018-08-29$31K$31K$0Yes
2018-08-28$30K$30K$0No
2018-08-28$79K$62K$17KNo
2018-08-28$75K$75K$0No
2018-08-28$15K$15K$0Yes
2018-08-28$193K$166K$26KNo
2018-08-28$13K$13K$0Yes
2018-08-28$51K$47K$0Yes
2018-05-04$0Yes
2017-07-20$4K$4K$0Yes
2017-07-20$17K$13K$4KYes
2017-07-20$3K$3K$0Yes
2017-07-20$34K$33K$215.98No
2017-07-20$0No
2017-07-20$18K$18K$0No
2016-09-22$1K$1K$0No
2016-09-22$2K$2K$0No
2016-08-24$3K$385.63$2KYes
2014-04-12$0Yes
2013-06-23$0Yes
2013-06-22$2K$2K$0Yes
2010-08-25$0Yes
2008-06-12$5K$4K$179.99Yes
2008-06-09$0Yes
2008-06-09$7K$7K$0Yes
2008-06-08$3K$3K$0Yes
2008-06-08$5K$5K$0Yes
2008-06-08$40K$36K$3KYes
2008-06-08$45K$45K$0Yes
2008-06-08$0Yes
2008-06-08$3K$3K$0Yes
2008-06-08$16K$16K$0No
2008-06-08$14K$14K$0No
2008-06-08$25K$25K$0Yes
2008-06-08$25K$25K$0Yes
2008-06-07$5K$5K$0Yes
2008-06-07$59K$53K$6KNo
2007-08-20$30K$30K$0No
2007-08-19$37K$25K$12KYes
2007-08-19$5K$5K$0Yes
2007-08-19$0No
2007-08-19$6K$6K$0Yes
2007-08-19$2K$2K$0Yes
2007-08-19$42K$42K$0Yes
2007-08-19$4K$4K$0Yes
2007-08-19$9K$9K$0Yes
2007-08-18$2K$2K$0Yes
2007-08-18$28K$21K$7KNo
2007-08-18$0Yes
2007-08-18$0Yes
2007-08-18$14K$14K$0Yes
2007-08-18$1K$1K$0Yes
2007-08-18$9K$9K$0Yes
2007-08-18$5K$5K$0Yes
2007-08-18$27K$25K$2KYes
2007-08-18$3K$3K$0Yes
2001-08-02$388.61$388.61$0Yes
2001-05-01$0No
2001-05-01$0No
2001-04-15$11K$8K$3KNo
2001-04-15$2K$2K$0No
2000-06-01$18K$10K$7KYes
2000-05-31$0Yes
1998-03-30$0No
1996-06-17$0Yes
1993-07-06$11K$8K$3KNo
1993-07-06$3K$3K$0No
1992-09-17$0No
1992-09-17$4K$4K$61.44No
1992-09-17$2K$2K$0No
1992-09-16$3K$3K$0Yes
1992-09-16$3K$3K$0No
1992-09-16$56.94$56.94$0No
1992-09-14$15K$8K$7KYes
1992-09-13$367.17$367.17$0Yes
1989-03-14$462.95$462.95$0Yes
1982-08-03$4K$4K$0No
1981-07-20$3K$2K$615No
1979-06-30$508$508$0No
1979-03-28$0No
1978-07-04$0No
1978-07-01$4K$3K$781No
1978-07-01$0No
1978-07-01$354.22$354.22$0No
1978-07-01$504.95$504.95$0No
1978-07-01$0No
1978-07-01$1K$1K$264.9No
1978-07-01$3K$3K$0No
1978-07-01$0No
1978-06-30$0No

ALSO CHECKED

18 more data areas were checked for Richland 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 WI state hub, which carries the same registry at the grain those sources actually have.

Go deeper

EVERY HMDA RECORD IN RICHLAND COUNTYOpens the loan explorer already filtered to county FIPS 55103.

See the Wisconsin state market profile for the statewide picture, the Wisconsin 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.