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State markets/Wisconsin/Waukesha County

COUNTY MORTGAGE MARKET · FIPS 55133

Waukesha County, Wisconsin

Who lends in Waukesha 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

$3.85B

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

Originations · 2025

12,607

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

Denial rate · 2025

11.6%

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

Lenders active · 2025

396

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

Concentration (HHI)

282

unconcentrated

Top-5 lender share

27.3%

of originations

Purchase

52.5%

4,829 loans

Refinance

47.5%

4,368 loans

Origination trend

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

Lenders in Waukesha 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 Waukesha 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 WAUKESHA COUNTY →

TOP TEN LENDERS IN WAUKESHA 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.

2,085$349.5M$349.5M originated in Waukesha County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
1,298$246.3M$246.3M originated in Waukesha County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
805$155.8M$155.8M originated in Waukesha County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
285$150.3M$150.3M originated in Waukesha County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
370$148.9M$148.9M originated in Waukesha County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
483$140.7M$140.7M originated in Waukesha County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
293$134.3M$134.3M originated in Waukesha County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
176$118.8M$118.8M originated in Waukesha County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
410$114.7M$114.7M originated in Waukesha County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
380$105.2M$105.2M originated in Waukesha County, 2025—Share 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 Waukesha County

All 31 ZIP Code Tabulation Areas that touch Waukesha 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.
31 OF 31 ZIP AREASEVERY ZIP AREA TOUCHING THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
88 of the 12 Waukesha County tracts this ZIP area touches sit mostly inside it.39,83416.8%11,884——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1010 of the 16 Waukesha County tracts this ZIP area touches sit mostly inside it.35,68319.9%8,969——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
99 of the 14 Waukesha County tracts this ZIP area touches sit mostly inside it.34,5468.2%10,182——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
88 of the 10 Waukesha County tracts this ZIP area touches sit mostly inside it.33,81713.9%10,591——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
99 of the 14 Waukesha County tracts this ZIP area touches sit mostly inside it.30,53226.7%6,952——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
77 of the 15 Waukesha County tracts this ZIP area touches sit mostly inside it.29,91312.9%9,665——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
66 of the 10 Waukesha County tracts this ZIP area touches sit mostly inside it.25,6279.0%7,685——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
55 of the 9 Waukesha County tracts this ZIP area touches sit mostly inside it.23,5128.5%7,679——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
66 of the 14 Waukesha County tracts this ZIP area touches sit mostly inside it.23,20618.3%6,921——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
55 of the 8 Waukesha County tracts this ZIP area touches sit mostly inside it.21,25818.9%6,575——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
44 of the 8 Waukesha County tracts this ZIP area touches sit mostly inside it.20,6458.8%6,735——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
44 of the 6 Waukesha County tracts this ZIP area touches sit mostly inside it.20,18310.2%6,096——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
55 of the 7 Waukesha County tracts this ZIP area touches sit mostly inside it.19,53223.9%5,740——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
22 of the 4 Waukesha County tracts this ZIP area touches sit mostly inside it.10,28712.0%3,505——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
22 of the 4 Waukesha County tracts this ZIP area touches sit mostly inside it.8,1217.5%2,739——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
22 of the 2 Waukesha County tracts this ZIP area touches sit mostly inside it.6,61410.7%1,993——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
11 of the 4 Waukesha County tracts this ZIP area touches sit mostly inside it.5,5457.3%1,884——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 4 Waukesha County tracts this ZIP area touches sit mostly inside it.4,7968.2%1,619——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 2 Waukesha County tracts this ZIP area touches sit mostly inside it.4,0777.9%1,542——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 1 Waukesha County tract this ZIP area touches sit mostly inside it.4,0337.4%1,323——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 6 Waukesha County tracts this ZIP area touches sit mostly inside it.3,4307.3%1,140——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 1 Waukesha County tract this ZIP area touches sit mostly inside it.1,78719.5%354——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
0This ZIP area clips 2 tracts of Waukesha 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 Waukesha 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 Waukesha 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 Waukesha 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 Waukesha 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 4 tracts of Waukesha 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 Waukesha 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 Waukesha 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 Waukesha 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.

98 of Waukesha County’s 98 census tracts are grouped into the ZIP areas above, with none left over. 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 Waukesha County

All 98 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.

98 OF 98 TRACTSEVERY TRACT IN THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
Middle111.0%4,51316.0%OPEN →
Middle119.3%5,44015.2%OPEN →
Middle109.1%3,01714.4%OPEN →
Middle104.1%3,63910.8%OPEN →
Upper120.9%4,49318.1%OPEN →
Upper132.2%5,28817.3%OPEN →
Upper170.1%7,37518.8%OPEN →
Upper186.4%6,06920.0%OPEN →
Middle113.0%1,78719.5%OPEN →
Upper133.1%4,16821.8%OPEN →
Upper162.8%5,30812.7%OPEN →
Upper136.3%4,80619.2%OPEN →
Upper145.5%4,19225.2%OPEN →
Upper137.2%4,36415.3%OPEN →
Upper152.9%4,32615.2%OPEN →
Upper158.0%2,55710.4%OPEN →
Upper154.5%4,05710.8%OPEN →
Upper151.7%5,23323.8%OPEN →
Upper154.4%3,16717.1%OPEN →
Upper128.7%2,06418.3%OPEN →
Upper135.1%3,48525.0%OPEN →
Upper143.5%2,73630.4%OPEN →
Upper195.7%4,31322.8%OPEN →
Upper136.0%4,82114.3%OPEN →
Upper123.4%4,76013.8%OPEN →
Middle113.6%4,30816.5%OPEN →
Middle118.0%3,85012.2%OPEN →
Upper130.3%6,08414.3%OPEN →
Middle113.7%2,8208.0%OPEN →
Middle116.7%5,56413.3%OPEN →
Upper141.1%3,45514.2%OPEN →
Middle113.4%2,97618.1%OPEN →
Upper128.4%5,4669.9%OPEN →
Upper122.4%4,5978.8%OPEN →
Upper140.0%5,6668.4%OPEN →
Upper134.2%5,3077.8%OPEN →
Middle114.2%1,5406.4%OPEN →
Upper161.7%6,4029.4%OPEN →
Upper136.1%5,2917.4%OPEN →
Upper142.9%4,0777.9%OPEN →
Upper145.4%4,21112.0%OPEN →
Upper129.6%4,79915.4%OPEN →
Upper150.7%3,38815.2%OPEN →
Upper134.7%4,21114.9%OPEN →
Moderate51.0%2,23033.3%OPEN →
Moderate64.4%3,43726.1%OPEN →
Middle111.9%4,57618.6%OPEN →
Middle85.1%3,39842.4%OPEN →
Middle80.3%3,13436.6%OPEN →
Middle117.4%5,01822.2%OPEN →
Middle87.6%4,08823.3%OPEN →
Middle87.5%2,88727.0%OPEN →
Middle89.7%1,84426.1%OPEN →
Moderate76.3%3,82740.0%OPEN →
Middle93.2%4,25030.5%OPEN →
Moderate50.1%3,42013.9%OPEN →
Middle80.4%2,29824.9%OPEN →
Middle86.1%4,51627.5%OPEN →
Middle110.0%3,16422.0%OPEN →
Upper138.3%3,38513.0%OPEN →
Upper139.8%3,55419.8%OPEN →
Upper122.8%3,89215.0%OPEN →
Upper184.1%4,2107.3%OPEN →
Middle110.9%3,7128.7%OPEN →
Upper175.2%5,58814.4%OPEN →
Upper139.3%4,6859.7%OPEN →
Middle108.1%3,06819.9%OPEN →
Upper140.0%3,34219.9%OPEN →
Upper124.1%3,94111.6%OPEN →
Upper147.8%5,7709.6%OPEN →
Middle82.3%3,58714.1%OPEN →
Upper182.8%4,2528.8%OPEN →
Upper145.6%6,8857.9%OPEN →
Upper122.6%3,9216.7%OPEN →
Upper158.4%2,6767.5%OPEN →
Middle117.3%4,07211.5%OPEN →
Upper129.5%5,9409.3%OPEN →
Upper152.1%4,7968.2%OPEN →
Upper170.1%3,4307.3%OPEN →
Upper135.6%4,7669.6%OPEN →
Upper147.7%6,1258.3%OPEN →
Upper139.5%4,0337.4%OPEN →
Upper130.5%4,99611.7%OPEN →
Middle116.3%2,8347.1%OPEN →
Middle119.4%4,88410.5%OPEN →
Middle119.3%4,3459.5%OPEN →
Upper131.0%5,5457.3%OPEN →
Upper134.5%3,8948.6%OPEN →
Upper129.8%4,2276.4%OPEN →
Upper170.7%5,3658.0%OPEN →
Middle109.9%2,89610.6%OPEN →
Upper154.9%4,2948.3%OPEN →
Upper138.2%6,6978.9%OPEN →
Upper130.4%4,03011.5%OPEN →
Upper189.1%2,2425.5%OPEN →
Upper142.5%2,6646.6%OPEN →
Upper134.3%3,4666.2%OPEN →
Upper140.9%2,8926.1%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

411,762

Median household income

$106,076

Median home value

$398,200

Median gross rent

$1,356

per month

Owner-occupied

76.0%

of occupied units

Housing units

175,591

3.9% vacant

Poverty rate

5.2%

Unemployment

2.3%

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 Moderate

score 88.9

Social vulnerability

Very Low

Community resilience

Very High

ELEVATED PERILS

Tornado Relatively High · Hail Relatively High · Winter weather 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

72

Declarations recorded

19

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

Everything we hold on Waukesha 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 Waukesha County.

HMDA loan-level (hmda_loan_wide, county_code)

Open the loan explorer for Waukesha County →Every reported application and origination in FIPS 55133, filterable on rate, amount, income, purpose and action taken. Loan-level tier.

VA

VA-guaranteed lending in Waukesha 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

356

—

Purchase share

35.1%

125 loans

IRRRL refinances

165

Cash-out refinances

66

2026356—12516566
2025354—1958673
2024246—1604442
2023240—191346
2022——235106119
20211,232—273795164
20201,077—278655144
2019495—27293130
2018476—27749150
2017567—286131150
2016582—255200127
2015530—26117693

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 Waukesha 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

Waukesha 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

963

−4.4% vs 2024

Multifamily · 2025

215

−76.4% vs 2024

Total authorized · 2025

1,178

−38.5% vs 2024

Permit valuation · 2025

$619.5M

authorized construction value

Units authorized by year

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

UNITS · SF IN TOOLTIP
01.3K2.5K3.8K5K19901992199419961998200020022004200620082010201220142016201820202022202420251,178 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 Waukesha County, showing population movement and wealth transfer.

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

inflow2223Milwaukee County, WI4,5537,631$401.4M
outflow2223Milwaukee County, WI3,2924,625$243.9M
outflow2223Other flows - South, DS9211,637$95.8M
inflow2223Other flows - South, DS8131,478$79.3M
outflow2223Washington County, WI7091,149$72.1M
inflow2223Other flows - Midwest, DS6721,126$58.8M
outflow2223Other flows - Midwest, DS6691,136$58.8M
inflow2223Washington County, WI590919$47.5M
outflow2223Other flows - West, DS409651$35.2M
inflow2223Other flows - West, DS400628$35.3M
outflow2223Dane County, WI399521$27.9M
outflow2223Jefferson County, WI355571$26.0M
inflow2223Racine County, WI347535$26.7M
inflow2223Dane County, WI342487$31.1M
inflow2223Jefferson County, WI332557$21.4M
outflow2223Walworth County, WI302432$29.3M
inflow2223Walworth County, WI289433$19.8M
outflow2223Racine County, WI283513$26.0M
outflow2223Cook County, IL258304$17.3M
outflow2223Dodge County, WI224354$30.1M
outflow2223Ozaukee County, WI221339$21.6M
inflow2223Cook County, IL208333$24.1M
inflow2223Ozaukee County, WI196305$21.5M
inflow2223Other flows - Northeast, DS190319$16.4M
inflow2223Dodge County, WI180279$11.0M
outflow2223Maricopa County, AZ150211$14.5M
outflow2223Other flows - Northeast, DS145201$11.7M
outflow2223Hennepin County, MN125158$10.0M
inflow2223Maricopa County, AZ111161$11.0M
inflow2223Rock County, WI94139$6.0M
inflow2223Kenosha County, WI93141$6.7M
inflow2223Lake County, IL87136$12.7M
inflow2223Brown County, WI82120$6.7M
outflow2223Winnebago County, WI79102$5.2M
outflow2223Brown County, WI77110$4.9M
outflow2223Kenosha County, WI76101$5.2M
inflow2223Outagamie County, WI74117$5.9M
outflow2223Lee County, FL71126$17.6M
outflow2223Foreign - Overseas, FR68114$5.3M
inflow2223Winnebago County, WI6786$4.3M
inflow2223Sheboygan County, WI5786$5.2M
outflow2223Collier County, FL5695$46.8M
inflow2223DuPage County, IL5686$5.9M
inflow2223Fond du Lac County, WI5679$3.8M
outflow2223Rock County, WI5580$3.4M
inflow2223Hennepin County, MN5579$4.2M
outflow2223Outagamie County, WI5486$3.5M
outflow2223DuPage County, IL5385$5.4M
outflow2223Lake County, IL5184$7.4M
outflow2223Denver County, CO5155$3.1M
outflow2223Marathon County, WI5071$3.6M
outflow2223La Crosse County, WI4869$2.2M
outflow2223Fond du Lac County, WI4766$2.2M
outflow2223Los Angeles County, CA4758$2.8M
inflow2223Foreign - Other flows, FR4597$3.6M
outflow2223Travis County, TX4566$4.0M
outflow2223New York County, NY4548$3.7M
inflow2223Lee County, FL4271$4.6M
outflow2223Sheboygan County, WI4159$2.7M
inflow2223La Crosse County, WI3951$2.5M
outflow2223San Diego County, CA3963$3.6M
inflow2223McHenry County, IL3858$2.6M
outflow2223King County, WA3748$3.6M
inflow2223Los Angeles County, CA3660$2.7M
inflow2223Marathon County, WI3651$3.0M
outflow2223Pinellas County, FL3456$5.1M
outflow2223Dallas County, TX3447$4.0M
outflow2223Clark County, NV3347$3.0M
outflow2223Hillsborough County, FL3249$2.2M
inflow2223Collier County, FL3244$9.0M
outflow2223Pima County, AZ3259$3.1M
outflow2223Harris County, TX3155$3.2M
outflow2223Sumter County, FL3151$4.3M
outflow2223Collin County, TX3075$5.3M
outflow2223Eau Claire County, WI3040$1.9M
outflow2223Davidson County, TN3032$1.6M
inflow2223Portage County, WI2943$1.7M
inflow2223Oneida County, WI2943$2.3M
outflow2223Oneida County, WI2946$3.4M
inflow2223Kane County, IL2837$1.6M
inflow2223Manitowoc County, WI2836$1.6M
outflow2223Portage County, WI2751$1.6M
outflow2223Wood County, WI2741$1.7M
outflow2223Sauk County, WI2736$2.1M
inflow2223Harris County, TX2748$2.8M
inflow2223San Diego County, CA2739$2.2M
outflow2223Sarasota County, FL2748$5.2M
inflow2223King County, WA2634$4.2M
outflow2223Orange County, FL2643$1.8M
outflow2223Ramsey County, MN2634$1.5M
outflow2223McHenry County, IL2636$2.8M
inflow2223Jefferson County, CO2640$3.0M
outflow2223Manatee County, FL2546$3.6M
outflow2223Wake County, NC2566$3.4M
inflow2223Clark County, NV2547$1.8M
outflow2223Vilas County, WI2540$2.2M
inflow2223Columbia County, WI2447$2.1M
inflow2223Eau Claire County, WI2437$1.4M
inflow2223Grant County, WI2429$937K
inflow2223Winnebago County, IL2436$1.4M
outflow2223Mecklenburg County, NC2329$2.2M
outflow2223Manitowoc County, WI2248$1.2M
inflow2223Pinellas County, FL2232$2.7M
outflow2223Pinal County, AZ2136$1.5M
outflow2223Denton County, TX2152$4.2M
outflow2223Foreign - Other flows, FR2140$765K
outflow2223Palm Beach County, FL2140$3.3M
outflow2223Kings County, NY2124$1.8M
outflow2223Waupaca County, WI2030$1.3M
inflow2223Pima County, AZ2032$625K
inflow2223Hillsborough County, FL2029$1.3M
inflow2223Will County, IL2042$3.4M
outflow2223Salt Lake County, UT2025$1.7M
outflow2122Foreign - Other flows, FR———
inflow2122Foreign - Other flows, FR———
inflow2122Milwaukee County, WI4,9218,290$435.6M
outflow2122Milwaukee County, WI3,2234,621$213.5M
outflow2122Other flows - South, DS9181,827$143.5M
inflow2122Other flows - South, DS7821,435$79.4M
outflow2122Washington County, WI7551,349$74.5M
inflow2122Other flows - Midwest, DS7411,368$79.1M
outflow2122Other flows - Midwest, DS6511,159$57.4M
inflow2122Washington County, WI582949$49.1M
outflow2122Other flows - West, DS462744$45.3M
inflow2122Other flows - West, DS432830$46.8M
outflow2122Dane County, WI411593$28.6M
inflow2122Racine County, WI382634$28.0M
outflow2122Jefferson County, WI376633$26.7M
inflow2122Jefferson County, WI357619$22.6M
inflow2122Dane County, WI340509$28.5M
outflow2122Racine County, WI299514$22.6M
inflow2122Walworth County, WI292449$18.1M
outflow2122Walworth County, WI272450$27.8M
inflow2122Cook County, IL264449$39.9M
outflow2122Dodge County, WI225367$13.8M
inflow2122Other flows - Northeast, DS219394$26.7M
inflow2122Ozaukee County, WI197302$18.2M
outflow2122Cook County, IL195263$22.0M
outflow2122Other flows - Northeast, DS182328$23.6M
outflow2122Ozaukee County, WI173287$30.8M
inflow2122Dodge County, WI164242$9.4M
outflow2122Maricopa County, AZ128224$14.5M
inflow2122Maricopa County, AZ109183$9.5M
inflow2122Kenosha County, WI104177$7.6M
inflow2122Lake County, IL96192$13.3M
outflow2122Hennepin County, MN95134$12.2M
outflow2122Winnebago County, WI94129$8.6M
outflow2122Lee County, FL91163$21.9M
outflow2122Kenosha County, WI89137$6.6M
outflow2122Outagamie County, WI87146$5.8M
outflow2122Brown County, WI85130$6.8M
inflow2122Brown County, WI76111$5.8M
inflow2122Winnebago County, WI71107$5.4M
outflow2122Fond du Lac County, WI66102$4.6M
inflow2122Lee County, FL65115$7.7M
outflow2122Pinellas County, FL62103$9.3M
inflow2122Hennepin County, MN6296$6.7M
inflow2122Rock County, WI6279$6.7M
outflow2122Sheboygan County, WI6199$4.0M
outflow2122Rock County, WI6081$3.6M
inflow2122Sheboygan County, WI5482$3.6M
outflow2122Denver County, CO5358$4.5M
inflow2122Outagamie County, WI5287$4.8M
inflow2122DuPage County, IL5083$6.6M
inflow2122La Crosse County, WI4977$2.8M
outflow2122Collier County, FL4993$36.7M
inflow2122McHenry County, IL4781$5.2M
inflow2122Fond du Lac County, WI4677$2.8M
inflow2122Los Angeles County, CA4680$5.3M
outflow2122King County, WA4579$4.9M
outflow2122Lake County, IL4571$6.7M
outflow2122Vilas County, WI4473$6.0M
outflow2122DuPage County, IL4171$4.8M
outflow2122La Crosse County, WI4158$2.6M
outflow2122Oneida County, WI4169$5.5M
inflow2122Denver County, CO3956$3.4M
outflow2122Travis County, TX3857$7.8M
inflow2122Portage County, WI3851$2.7M
outflow2122Los Angeles County, CA3745$3.5M
outflow2122Hillsborough County, FL3558$4.5M
inflow2122Marathon County, WI3552$2.0M
inflow2122Kane County, IL3547$3.9M
outflow2122Mecklenburg County, NC3464$3.8M
inflow2122Clark County, NV3368$3.2M
outflow2122Clark County, NV3361$5.3M
outflow2122San Diego County, CA3252$1.4M
inflow2122Winnebago County, IL3247$2.7M
inflow2122Eau Claire County, WI3140$1.8M
outflow2122Sumter County, FL3157$4.5M
outflow2122Adams County, WI3152$2.4M
inflow2122San Diego County, CA3157$2.2M
inflow2122Will County, IL3053$3.0M
outflow2122Sarasota County, FL3057$8.3M
inflow2122Oneida County, WI3040$2.5M
outflow2122New York County, NY2929$2.3M
outflow2122Pasco County, FL2868$3.1M
inflow2122Harris County, TX2751$4.0M
outflow2122Collin County, TX2785$4.6M
outflow2122Orange County, FL2750$2.8M
inflow2122Orange County, CA2652$3.0M

UAD APPRAISALS

FHFA Uniform Appraisal Dataset aggregates for Waukesha County.

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

2023PurchaseNo CharacteristicAll Appraisals2,664.0
2023PurchaseNo CharacteristicAll Appraisals0.2
2023RefinanceNo CharacteristicAll Appraisals800.0
2023PurchaseNo CharacteristicAll Appraisals1.0
2023BothNo CharacteristicAll Appraisals3,464.0
2023PurchaseNo CharacteristicAll Appraisals0.7
2023PurchaseNo CharacteristicAll Appraisals1.0
2023RefinanceNo CharacteristicAll Appraisals445,500.0
2023BothNo CharacteristicAll Appraisals460,000.0
2023PurchaseNo CharacteristicAll Appraisals460,000.0
2023PurchaseNo CharacteristicAll Appraisals0.1
2022PurchaseNo CharacteristicAll Appraisals1.0
2022BothNo CharacteristicAll Appraisals429,000.0
2022PurchaseNo CharacteristicAll Appraisals0.2
2022PurchaseNo CharacteristicAll Appraisals426,000.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022RefinanceNo CharacteristicAll Appraisals1,781.0
2022PurchaseNo CharacteristicAll Appraisals0.1
2022PurchaseNo CharacteristicAll Appraisals0.6
2022RefinanceNo CharacteristicAll Appraisals430,000.0
2022BothNo CharacteristicAll Appraisals5,195.0
2022PurchaseNo CharacteristicAll Appraisals3,414.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021RefinanceNo CharacteristicAll Appraisals408,000.0
2021BothNo CharacteristicAll Appraisals9,691.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021PurchaseNo CharacteristicAll Appraisals4,153.0
2021PurchaseNo CharacteristicAll Appraisals0.3
2021RefinanceNo CharacteristicAll Appraisals5,538.0
2021PurchaseNo CharacteristicAll Appraisals0.1
2021BothNo CharacteristicAll Appraisals400,000.0
2021PurchaseNo CharacteristicAll Appraisals0.6
2021PurchaseNo CharacteristicAll Appraisals390,000.0
2020PurchaseNo CharacteristicAll Appraisals0.1
2020PurchaseNo CharacteristicAll Appraisals1.0
2020BothNo CharacteristicAll Appraisals12,539.0
2020PurchaseNo CharacteristicAll Appraisals4,423.0
2020PurchaseNo CharacteristicAll Appraisals0.7
2020BothNo CharacteristicAll Appraisals372,500.0
2020RefinanceNo CharacteristicAll Appraisals383,500.0
2020RefinanceNo CharacteristicAll Appraisals8,116.0
2020PurchaseNo CharacteristicAll Appraisals352,000.0
2020PurchaseNo CharacteristicAll Appraisals1.0
2020PurchaseNo CharacteristicAll Appraisals0.2
2019PurchaseNo CharacteristicAll Appraisals0.0
2019PurchaseNo CharacteristicAll Appraisals1.0
2019BothNo CharacteristicAll Appraisals350,000.0
2019PurchaseNo CharacteristicAll Appraisals4,593.0
2019PurchaseNo CharacteristicAll Appraisals0.2
2019PurchaseNo CharacteristicAll Appraisals1.0
2019RefinanceNo CharacteristicAll Appraisals368,000.0
2019BothNo CharacteristicAll Appraisals9,677.0
2019RefinanceNo CharacteristicAll Appraisals5,084.0
2019PurchaseNo CharacteristicAll Appraisals331,000.0
2019PurchaseNo CharacteristicAll Appraisals0.7
2018RefinanceNo CharacteristicAll Appraisals327,000.0
2018BothNo CharacteristicAll Appraisals6,990.0
2018PurchaseNo CharacteristicAll Appraisals4,392.0
2018RefinanceNo CharacteristicAll Appraisals2,598.0
2018BothNo CharacteristicAll Appraisals320,000.0
2018PurchaseNo CharacteristicAll Appraisals317,100.0
2018PurchaseNo CharacteristicAll Appraisals0.7
2018PurchaseNo CharacteristicAll Appraisals0.1
2018PurchaseNo CharacteristicAll Appraisals0.2
2018PurchaseNo CharacteristicAll Appraisals1.0
2018PurchaseNo CharacteristicAll Appraisals1.0
2017RefinanceNo CharacteristicAll Appraisals317,000.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals0.2
2017PurchaseNo CharacteristicAll Appraisals0.0
2017BothNo CharacteristicAll Appraisals7,768.0
2017PurchaseNo CharacteristicAll Appraisals4,474.0
2017PurchaseNo CharacteristicAll Appraisals310,000.0
2017RefinanceNo CharacteristicAll Appraisals3,294.0
2017PurchaseNo CharacteristicAll Appraisals0.8
2017BothNo CharacteristicAll Appraisals312,500.0
2016PurchaseNo CharacteristicAll Appraisals4,218.0
2016RefinanceNo CharacteristicAll Appraisals320,000.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals292,000.0
2016PurchaseNo CharacteristicAll Appraisals0.7
2016PurchaseNo CharacteristicAll Appraisals0.0
2016BothNo CharacteristicAll Appraisals308,000.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals0.2
2016BothNo CharacteristicAll Appraisals11,060.0
2016RefinanceNo CharacteristicAll Appraisals6,842.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2015PurchaseNo CharacteristicAll Appraisals280,000.0
2015PurchaseNo CharacteristicAll Appraisals0.2
2015RefinanceNo CharacteristicAll Appraisals300,000.0
2015BothNo CharacteristicAll Appraisals8,861.0
2015RefinanceNo CharacteristicAll Appraisals4,895.0
2015PurchaseNo CharacteristicAll Appraisals0.0
2015PurchaseNo CharacteristicAll Appraisals0.8
2015PurchaseNo CharacteristicAll Appraisals3,966.0
2015BothNo CharacteristicAll Appraisals290,000.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2014BothNo CharacteristicAll Appraisals285,000.0

ECONOMY & INCOME

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

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

BLS Local Area Unemployment

2026-05221,735215,7855,9502.7%
2026-04221,277214,5656,7123.0%
2026-03222,496214,9267,5703.4%
2026-02222,329214,2448,0853.6%
2026-01220,832213,8366,9963.2%
2025-12222,705216,8535,8522.6%
2025-11224,018218,0865,9322.6%
2025-09220,786215,2845,5022.5%
2025-08223,613217,1456,4682.9%
2025-07223,704216,9226,7823.0%
2025-06223,889216,9056,9843.1%
2025-05221,530215,1866,3442.9%
2025-04221,778215,5056,2732.8%
2025-03222,605215,6366,9693.1%
2025-02222,984215,7997,1853.2%
2025-01223,056216,5656,4912.9%
2024-12224,941219,4715,4702.4%
2024-11226,320220,7845,5362.4%
2024-10226,209220,9995,2102.3%
2024-09225,983220,6115,3722.4%
2024-08227,151221,1156,0362.7%
2024-07227,894221,1616,7333.0%
2024-06225,980219,0806,9003.1%
2024-05223,591217,7185,8732.6%
2024-04223,399217,7635,6362.5%
2024-03223,907217,3106,5972.9%
2024-02223,663217,2466,4172.9%
2024-01223,324217,9225,4022.4%
2023-12224,775219,9754,8002.1%
2023-11226,857221,9614,8962.2%
2023-10226,304221,1415,1632.3%
2023-09225,497219,9165,5812.5%
2023-08227,966221,3586,6082.9%
2023-07227,584221,1336,4512.8%
2023-06225,888219,1106,7783.0%
2023-05222,766217,2795,4872.5%
2023-04221,181216,4924,6892.1%
2023-03222,229216,8375,3922.4%
2023-02221,145215,6105,5352.5%
2023-01220,687215,5125,1752.3%
2022-12221,141217,1893,9521.8%
2022-11220,871216,5054,3662.0%
2022-10221,561217,1184,4432.0%
2022-09222,327217,3854,9422.2%
2022-08224,476218,5335,9432.6%
2022-07224,161217,9846,1772.8%
2022-06222,837216,4256,4122.9%
2022-05220,169215,1315,0382.3%
2022-04218,570213,5185,0522.3%
2022-03220,557214,5885,9692.7%
2022-02220,163213,8236,3402.9%
2022-01219,441213,4216,0202.7%
2021-12219,877215,4984,3792.0%
2021-11220,934216,4424,4922.0%
2021-10220,655215,8454,8102.2%
2021-09221,618216,1235,4952.5%
2021-08223,337216,4086,9293.1%
2021-07224,908217,2627,6463.4%
2021-06222,951214,4788,4733.8%
2021-05219,318212,3496,9693.2%
2021-04218,514210,9887,5263.4%
2021-03218,593209,8558,7384.0%
2021-02219,235210,1059,1304.2%
2021-01217,864208,8559,0094.1%
2020-12218,600209,9328,6684.0%
2020-11219,846211,0448,8024.0%
2020-10220,476211,2309,2464.2%
2020-09219,293208,48910,8044.9%
2020-08221,931209,50712,4245.6%
2020-07221,393205,14316,2507.3%
2020-06220,034201,48118,5538.4%
2020-05214,804193,79321,0119.8%
2020-04213,308186,75626,55212.4%
2020-03218,058211,0676,9913.2%
2020-02220,829214,5966,2332.8%
2020-01219,832213,2456,5873.0%
2019-12218,872213,6765,1962.4%
2019-11220,926215,5655,3612.4%
2019-10220,901215,5725,3292.4%
2019-09220,542214,8745,6682.6%
2019-08222,669216,0046,6653.0%
2019-07224,049216,8437,2063.2%
2019-06222,394214,7777,6173.4%
2019-05219,103212,8406,2632.9%
2019-04218,554212,6635,8912.7%
2019-03220,511213,6526,8593.1%
2019-02220,864214,2506,6143.0%
2019-01218,158211,5526,6063.0%
2018-12218,425213,2045,2212.4%
2018-11219,378214,3195,0592.3%
2018-10219,582214,4665,1162.3%
2018-09219,433214,3575,0762.3%
2018-08221,812215,6486,1642.8%
2018-07223,114216,4606,6543.0%
2018-06222,068214,7017,3673.3%
2018-05219,312213,7065,6062.6%
2018-04219,410213,8635,5472.5%
2018-03221,229214,6456,5843.0%
2018-02222,029215,2786,7513.0%
2018-01219,527213,2626,2652.9%

BEA Personal Income

2024$39.55B417,029$95K
2023$37.56B414,013$91K
2022$35.45B411,061$86K
2021$34.51B409,191$84K
2020$31.29B407,518$77K
2019$29.84B405,498$74K
2018$28.69B403,556$71K
2017$27.50B401,846$68K
2016$26.66B399,308$67K
2015$25.69B396,918$65K
2014$24.38B395,956$62K
2013$23.52B394,592$60K
2012$23.43B393,125$60K
2011$22.38B391,024$57K
2010$21.15B390,076$54K
2009$20.76B388,957$53K
2008$21.39B386,691$55K
2007$20.72B384,239$54K
2006$20.11B380,799$53K
2005$18.32B378,885$48K
2004$17.64B376,243$47K
2003$16.53B373,787$44K
2002$16.31B370,051$44K
2001$16.08B365,564$44K
2000$15.17B362,169$42K
1999$14.07B357,829$39K
1998$13.37B353,031$38K
1997$12.32B348,399$35K
1996$11.35B343,358$33K
1995$10.57B337,579$31K
1994$9.85B331,702$30K
1993$9.14B324,834$28K
1992$8.52B318,777$27K
1991——$25K

NFIP FLOOD CLAIMS

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

FEMA NFIP redacted claims (nfip_claim, county_code)

2026-04-20$60K$60K$0Yes
2026-04-16$3K$3K$0No
2026-04-15$0$0$0No
2026-04-14$3K$3K$0Yes
2026-04-14$2K$2K$0Yes
2026-04-10$11K$11K$0No
2025-08-16$775.29$775.29$0Yes
2025-08-11$431K$431K$0No
2025-08-11$41K$41K$0Yes
2025-08-11$16K$16K$0No
2025-08-10$7K$7K$0Yes
2025-08-10$16K$14K$2KYes
2025-08-10$7K$7K$0Yes
2025-08-10$3K$3K$0Yes
2025-08-10$0——Yes
2025-08-10$10K$10K$0Yes
2025-08-10$33K$31K$2KYes
2025-08-10$126K$72K$53KYes
2025-08-10$26K$16K$10KYes
2025-08-10$32K$32K$0Yes
2025-08-10$15K$15K$0Yes
2025-08-10$16K$16K$0Yes
2025-08-10$23K$23K$0Yes
2025-08-10$146K$0$146KNo
2025-08-10$535K$235K$300KNo
2025-08-10$7K$7K$0No
2025-08-10$4K$4K$0Yes
2025-08-10$7K$7K$0Yes
2025-08-10$25K$22K$3KYes
2025-08-10$35K$34K$1KNo
2025-08-10$61K$61K$0Yes
2025-08-10$22K$22K$0Yes
2025-08-10$26K$26K$0Yes
2025-08-10$9K$9K$0Yes
2025-08-10$0$0$0No
2025-08-10$10K$10K$0Yes
2025-08-10$16K$16K$0Yes
2025-08-10$28K$28K$0No
2025-08-10$11K$11K$0Yes
2025-08-10$81K$81K$0Yes
2025-08-10$5K$5K$0Yes
2025-08-10$299K$249K$50KYes
2025-08-10$52K$52K$0No
2025-08-10$500K$500K$0No
2025-08-10$0——No
2025-08-10$10K$9K$67.24Yes
2025-08-10$0——Yes
2025-08-10$11K$11K$0Yes
2025-08-10$5K$5K$0Yes
2025-08-10$33K$33K$0Yes
2025-08-10$0——Yes
2025-08-10$140K$126K$13KYes
2025-08-10$5K$5K$0Yes
2025-08-10$20K$20K$382.53Yes
2025-08-10$207K$148K$59KYes
2025-08-10$58K$51K$7KYes
2025-08-10$30K$30K$0No
2025-08-10$5K$5K$0No
2025-08-10$18K$18K$0Yes
2025-08-10$30K$30K$0Yes
2025-08-10$5K$5K$0Yes
2025-08-10$16K$16K$69.96Yes
2025-08-10$34K$34K$0Yes
2025-08-10$19K$18K$1KYes
2025-08-10$0——Yes
2025-08-09$73K$63K$10KYes
2025-08-09$54K$54K$0Yes
2025-08-09$68K$68K$0Yes
2025-08-09$29K$29K$0No
2025-08-09$0——Yes
2025-08-09$7K$6K$1KNo
2025-08-09$4K$0$4KYes
2025-08-09$27K$20K$7KYes
2025-08-09$9K$9K$0No
2025-08-09$8K$8K$0Yes
2025-08-09$48K$38K$10KYes
2025-08-09$29K$29K$0Yes
2025-08-09$17K$17K$0Yes
2025-08-09$49K$47K$2KYes
2025-08-09$29K$20K$9KNo
2025-08-09$102K$102K$0No
2025-08-09$14K$14K$0Yes
2025-08-09$33K$28K$5KNo
2025-08-09$2K$2K$0No
2025-08-09$12K$12K$0Yes
2025-08-09$63K$63K$0No
2025-08-09$57K$57K$0Yes
2025-08-09$10K$10K$0Yes
2025-08-09$52K$52K$0No
2025-08-09$12K$12K$0Yes
2025-08-09$92K$48K$44KYes
2025-08-09$37K$30K$7KYes
2025-08-09$25K$25K$0No
2025-08-09$0$0$0Yes
2025-08-09$43K$30K$13KYes
2025-08-09$21K$21K$0Yes
2025-08-09$22K$22K$166.52No
2025-08-09$166K$166K$0Yes
2025-08-09$22K$22K$0No
2024-04-03$0$0$0Yes

ALSO CHECKED

18 more data areas were checked for Waukesha 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 WAUKESHA COUNTY →Opens the loan explorer already filtered to county FIPS 55133.

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.