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State markets/Wisconsin/Dane County

COUNTY MORTGAGE MARKET · FIPS 55025

Dane County, Wisconsin

Who lends in Dane 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

$5.55B

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

Originations · 2025

16,275

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

Denial rate · 2025

9.9%

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

Lenders active · 2025

391

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

Concentration (HHI)

503

unconcentrated

Top-5 lender share

38.7%

of originations

Purchase

54.2%

6,551 loans

Refinance

45.8%

5,531 loans

Origination trend

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

Lenders in Dane 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 Dane 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 DANE COUNTY →

TOP TEN LENDERS IN DANE 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.

4,065$797.2M$797.2M originated in Dane County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
4,044$733.4M$733.4M originated in Dane County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
501$235.2M$235.2M originated in Dane County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
512$209.1M$209.1M originated in Dane County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
442$174.0M$174.0M originated in Dane County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
218$164.8M$164.8M originated in Dane County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
250$158.1M$158.1M originated in Dane County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
397$150.0M$150.0M originated in Dane County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
388$146.6M$146.6M originated in Dane County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
208$125.2M$125.2M originated in Dane 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 Dane County

All 46 ZIP Code Tabulation Areas that touch Dane 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.
46 OF 46 ZIP AREASEVERY ZIP AREA TOUCHING THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
1212 of the 16 Dane County tracts this ZIP area touches sit mostly inside it.45,58333.9%10,698——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1010 of the 11 Dane County tracts this ZIP area touches sit mostly inside it.45,15926.4%2,800——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
77 of the 11 Dane County tracts this ZIP area touches sit mostly inside it.43,68718.9%11,266——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
99 of the 22 Dane County tracts this ZIP area touches sit mostly inside it.40,31234.2%10,167——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
77 of the 10 Dane County tracts this ZIP area touches sit mostly inside it.37,71823.3%9,136——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
66 of the 10 Dane County tracts this ZIP area touches sit mostly inside it.29,54022.2%7,010——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
77 of the 13 Dane County tracts this ZIP area touches sit mostly inside it.26,68835.4%5,043——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
44 of the 7 Dane County tracts this ZIP area touches sit mostly inside it.26,40916.5%7,215——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
55 of the 6 Dane County tracts this ZIP area touches sit mostly inside it.22,83753.7%4,379——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
88 of the 13 Dane County tracts this ZIP area touches sit mostly inside it.22,51031.1%5,043——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
44 of the 8 Dane County tracts this ZIP area touches sit mostly inside it.20,83212.0%6,147——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
44 of the 9 Dane County tracts this ZIP area touches sit mostly inside it.19,32510.1%6,289——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
55 of the 8 Dane County tracts this ZIP area touches sit mostly inside it.19,11218.6%5,874——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
33 of the 6 Dane County tracts this ZIP area touches sit mostly inside it.18,72612.2%5,862——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
33 of the 4 Dane County tracts this ZIP area touches sit mostly inside it.16,9888.0%6,017——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
44 of the 10 Dane County tracts this ZIP area touches sit mostly inside it.14,70926.9%3,530——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
33 of the 6 Dane County tracts this ZIP area touches sit mostly inside it.14,34629.0%1,307——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
44 of the 7 Dane County tracts this ZIP area touches sit mostly inside it.13,60729.0%3,931——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
33 of the 6 Dane County tracts this ZIP area touches sit mostly inside it.12,81315.4%3,456——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
22 of the 6 Dane County tracts this ZIP area touches sit mostly inside it.10,70729.8%2,704——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
22 of the 4 Dane County tracts this ZIP area touches sit mostly inside it.9,22412.9%2,743——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
22 of the 4 Dane County tracts this ZIP area touches sit mostly inside it.8,6377.5%2,689——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
22 of the 4 Dane County tracts this ZIP area touches sit mostly inside it.7,94119.3%1,475——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
11 of the 4 Dane County tracts this ZIP area touches sit mostly inside it.7,1729.7%2,234——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 3 Dane County tracts this ZIP area touches sit mostly inside it.5,82819.3%1,609——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 1 Dane County tract this ZIP area touches sit mostly inside it.4,9807.5%1,585——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 2 Dane County tracts this ZIP area touches sit mostly inside it.4,8457.8%1,559——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 2 Dane County tracts this ZIP area touches sit mostly inside it.4,55631.8%0——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 4 Dane County tracts this ZIP area touches sit mostly inside it.3,87910.4%1,106——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 2 Dane County tracts this ZIP area touches sit mostly inside it.2,8349.9%821——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
0This ZIP area clips 1 tract of Dane 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 Dane 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 Dane 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 Dane 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 3 tracts of Dane 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 Dane 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 Dane 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 Dane 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 Dane 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 Dane 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 Dane 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 Dane 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 Dane 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 Dane 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 Dane 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 Dane 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.

123 of Dane County’s 125 census tracts are grouped into the ZIP areas above; the other 2 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 Dane County

All 125 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.

125 OF 125 TRACTSEVERY TRACT IN THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
Upper126.2%2,81323.3%OPEN →
Upper136.4%2,17916.7%OPEN →
Middle99.7%3,12022.9%OPEN →
Middle97.3%5,43641.4%OPEN →
Upper149.0%5,27117.8%OPEN →
Moderate54.2%3,71847.7%OPEN →
Upper135.3%2,17622.1%OPEN →
Upper128.9%3,70515.4%OPEN →
Middle116.0%2,64120.7%OPEN →
Middle105.4%3,88229.3%OPEN →
Moderate65.2%5,71245.8%OPEN →
Low43.4%1,98923.5%OPEN →
Upper128.9%4,42245.4%OPEN →
Moderate53.4%1,79032.6%OPEN →
Middle88.3%4,89331.2%OPEN →
Middle109.6%7,13929.4%OPEN →
Upper122.5%3,93133.9%OPEN →
Moderate78.5%3,53551.4%OPEN →
Low40.6%5,82170.6%OPEN →
Upper159.8%3,35914.7%OPEN →
Middle106.3%3,93321.1%OPEN →
Upper171.6%2,24615.1%OPEN →
Upper171.7%5,69520.9%OPEN →
Upper130.7%2,51812.1%OPEN →
Low11.7%5,51139.7%OPEN →
—0.0%4,55631.8%OPEN →
Middle113.3%6,43623.3%OPEN →
Middle91.7%2,39919.7%OPEN →
Moderate57.2%6,03768.6%OPEN →
Moderate69.0%5,42950.9%OPEN →
Upper147.8%5,31246.9%OPEN →
Moderate77.5%3,38029.4%OPEN →
Moderate65.5%2,37743.1%OPEN →
Middle102.3%5,61459.4%OPEN →
—0.0%6,73339.3%OPEN →
Low32.1%6,59825.6%OPEN →
Middle111.2%3,32424.0%OPEN →
—0.0%7,51427.4%OPEN →
Upper153.8%4,15423.9%OPEN →
—0.0%2,78824.4%OPEN →
—0.0%1,68024.9%OPEN →
Upper168.8%3,70519.8%OPEN →
Middle84.8%4,43127.4%OPEN →
Middle116.9%4,23216.8%OPEN →
Middle93.6%2,80516.0%OPEN →
Middle98.8%6,33223.3%OPEN →
Middle85.1%4,76122.6%OPEN →
Moderate71.8%4,31334.4%OPEN →
Moderate64.9%3,18952.3%OPEN →
Middle97.7%1,85125.8%OPEN →
Middle81.2%3,38723.6%OPEN →
Middle84.4%3,75644.0%OPEN →
Low40.0%2,40953.7%OPEN →
Moderate73.9%1,84735.0%OPEN →
Moderate73.5%6,03642.7%OPEN →
Middle99.8%5,40944.2%OPEN →
Moderate63.6%3,42716.1%OPEN →
Middle83.5%2,19615.3%OPEN →
Moderate71.2%3,31525.0%OPEN →
Middle93.4%4,77521.4%OPEN →
Moderate65.3%3,55848.6%OPEN →
Middle103.7%6,22823.9%OPEN →
Moderate53.7%2,43668.3%OPEN →
Upper169.3%2,13524.6%OPEN →
Upper207.6%1,3357.9%OPEN →
Middle109.8%3,80412.5%OPEN →
Middle97.0%3,56912.1%OPEN →
Middle106.3%4,13225.3%OPEN →
Middle111.5%5,0909.4%OPEN →
Middle83.9%3,59112.7%OPEN →
Middle111.2%5,1119.2%OPEN →
Upper150.8%6,35117.6%OPEN →
Upper121.8%9,07920.2%OPEN →
Upper127.3%6,65421.5%OPEN →
Upper132.1%5,41513.7%OPEN →
Upper133.4%4,53022.7%OPEN →
Upper128.4%5,28824.6%OPEN →
Upper165.7%4,84934.0%OPEN →
Upper166.6%5,61415.6%OPEN →
Upper126.2%5,22114.1%OPEN →
Middle115.7%4,56615.9%OPEN →
Moderate55.5%5,10730.1%OPEN →
Middle103.8%5,38220.3%OPEN →
Upper164.7%4,41518.8%OPEN →
Upper121.5%3,96712.7%OPEN →
Upper167.6%6,46412.0%OPEN →
Upper133.2%7,36610.6%OPEN →
Middle101.0%3,03514.0%OPEN →
Upper139.0%2,92523.9%OPEN →
Middle112.0%7,83324.5%OPEN →
Middle104.1%4,99030.4%OPEN →
Middle111.6%4,86528.0%OPEN →
Middle110.4%1,92919.3%OPEN →
Upper128.9%4,98931.8%OPEN →
Middle96.1%4,40037.6%OPEN →
Moderate70.6%6,81527.6%OPEN →
Middle109.4%5,39719.6%OPEN →
Upper143.7%4,28814.7%OPEN →
Middle100.9%7,39819.6%OPEN →
Middle118.7%4,43111.8%OPEN →
Middle83.3%5,82819.3%OPEN →
Middle97.0%7,1729.7%OPEN →
Middle99.9%4,8647.6%OPEN →
Middle115.6%6,54813.4%OPEN →
Middle112.0%2,67611.4%OPEN →
Middle94.4%2,8349.9%OPEN →
Middle93.2%1,9458.9%OPEN →
Middle83.1%6,75111.4%OPEN →
Middle97.7%5,76511.1%OPEN →
Middle116.5%4,9807.5%OPEN →
Middle102.5%6,6579.9%OPEN →
Upper126.2%6,95816.5%OPEN →
Middle96.7%4,4607.6%OPEN →
Middle114.5%4,2156.2%OPEN →
Middle107.5%8,3139.1%OPEN →
Middle106.8%3,9294.8%OPEN →
Middle114.0%4,7089.6%OPEN →
Middle91.9%4,8457.8%OPEN →
Middle117.2%3,87910.4%OPEN →
Upper139.9%8,00012.7%OPEN →
Middle94.3%5,10414.1%OPEN →
Middle110.9%5,47213.0%OPEN →
Middle113.6%7,10714.7%OPEN →
—0.0%——OPEN →
—0.0%00.0%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

572,674

Median household income

$89,975

Median home value

$394,800

Median gross rent

$1,398

per month

Owner-occupied

57.1%

of occupied units

Housing units

261,061

3.7% vacant

Poverty rate

10.6%

Unemployment

2.4%

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 93.9

Social vulnerability

Very Low

Community resilience

Very High

ELEVATED PERILS

Inland flooding Relatively High · Tornado Relatively High · Hail Relatively High · Strong wind 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

76

Declarations recorded

19

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

Everything we hold on Dane 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 Dane County.

HMDA loan-level (hmda_loan_wide, county_code)

Open the loan explorer for Dane County →Every reported application and origination in FIPS 55025, filterable on rate, amount, income, purpose and action taken. Loan-level tier.

VA

VA-guaranteed lending in Dane 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

315

—

Purchase share

41.9%

132 loans

IRRRL refinances

126

Cash-out refinances

57

2026315—13212657
2025320—1887854
2024229—1523740
2023205—164437
2022——2237896
20211,163—293728142
20201,070—318614138
2019471—27195105
2018423—26437122
2017661—354176131
2016634—314186134
2015567—32517072

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 Dane 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

Dane 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

1,437

+2.1% vs 2024

Multifamily · 2025

5,192

+27.6% vs 2024

Total authorized · 2025

6,629

+21.0% vs 2024

Permit valuation · 2025

$1.6B

authorized construction value

Units authorized by year

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

UNITS · SF IN TOOLTIP
02.5K5K7.5K10K19901992199419961998200020022004200620082010201220142016201820202022202420256,629 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 Dane County, showing population movement and wealth transfer.

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

inflow2223Other flows - South, DS1,4142,068$93.7M
outflow2223Other flows - South, DS1,2652,062$111.9M
inflow2223Other flows - Midwest, DS1,2591,674$79.5M
outflow2223Other flows - Midwest, DS8951,383$71.0M
outflow2223Rock County, WI7761,210$49.7M
outflow2223Milwaukee County, WI768918$41.9M
outflow2223Cook County, IL761916$54.0M
inflow2223Cook County, IL7381,046$62.1M
inflow2223Milwaukee County, WI728935$45.0M
inflow2223Other flows - West, DS648965$45.5M
inflow2223Other flows - Northeast, DS622791$40.1M
inflow2223Rock County, WI620858$33.6M
outflow2223Other flows - West, DS598919$48.7M
outflow2223Columbia County, WI583925$46.6M
outflow2223Other flows - Northeast, DS543802$48.2M
inflow2223Columbia County, WI453638$26.5M
outflow2223Jefferson County, WI431672$24.5M
inflow2223Waukesha County, WI399521$27.9M
inflow2223Jefferson County, WI388552$21.8M
outflow2223Sauk County, WI383604$27.8M
inflow2223Sauk County, WI367504$18.6M
outflow2223Hennepin County, MN361448$23.3M
outflow2223Waukesha County, WI342487$31.1M
outflow2223Green County, WI306513$25.4M
inflow2223Green County, WI266383$17.1M
inflow2223Dodge County, WI249365$12.7M
inflow2223Hennepin County, MN232282$15.5M
outflow2223Dodge County, WI217313$13.5M
inflow2223Brown County, WI212275$12.6M
outflow2223Foreign - Overseas, FR212322$18.4M
outflow2223King County, WA210246$19.7M
outflow2223Iowa County, WI192303$14.9M
inflow2223Los Angeles County, CA181238$13.3M
inflow2223La Crosse County, WI180210$8.2M
inflow2223Outagamie County, WI177233$10.7M
outflow2223Maricopa County, AZ174250$14.0M
inflow2223Winnebago County, WI170233$10.0M
inflow2223Maricopa County, AZ160211$11.6M
inflow2223DuPage County, IL159197$11.9M
inflow2223Walworth County, WI157193$8.9M
outflow2223Denver County, CO153172$11.1M
inflow2223Iowa County, WI153233$9.8M
inflow2223Racine County, WI148197$6.5M
outflow2223Los Angeles County, CA142173$11.6M
inflow2223Grant County, WI141196$7.4M
outflow2223Brown County, WI137185$8.5M
inflow2223Marathon County, WI135202$8.9M
inflow2223Winnebago County, IL135196$6.6M
inflow2223King County, WA131180$14.2M
outflow2223Winnebago County, WI129164$6.5M
inflow2223Lake County, IL125159$8.3M
outflow2223Santa Clara County, CA119127$10.0M
outflow2223New York County, NY117134$9.1M
inflow2223Sheboygan County, WI115155$7.3M
outflow2223Ramsey County, MN115153$7.8M
inflow2223Foreign - Overseas, FR114193$11.9M
outflow2223La Crosse County, WI114146$6.4M
outflow2223Outagamie County, WI113153$7.0M
outflow2223Travis County, TX109140$14.7M
outflow2223Walworth County, WI106135$6.3M
inflow2223Eau Claire County, WI105141$7.1M
inflow2223Portage County, WI105130$5.5M
inflow2223Washington County, WI102121$6.5M
outflow2223Marathon County, WI102143$6.4M
outflow2223San Diego County, CA100149$13.6M
inflow2223Fond du Lac County, WI97138$6.5M
outflow2223Grant County, WI97130$5.2M
inflow2223Ozaukee County, WI92111$6.3M
inflow2223San Diego County, CA90128$5.8M
outflow2223Winnebago County, IL90132$5.3M
inflow2223Kenosha County, WI87130$4.9M
outflow2223Harris County, TX87147$6.2M
inflow2223Ramsey County, MN86116$4.9M
outflow2223Portage County, WI85125$7.7M
outflow2223Eau Claire County, WI85107$4.2M
outflow2223Middlesex County, MA82106$7.5M
outflow2223DuPage County, IL81113$7.0M
outflow2223Wake County, NC78138$8.1M
inflow2223Wood County, WI77106$4.0M
outflow2223Kings County, NY7579$4.9M
inflow2223Franklin County, OH74108$4.3M
inflow2223Harris County, TX7497$7.5M
outflow2223District of Columbia, DC7288$5.5M
outflow2223Washington County, WI71108$4.7M
inflow2223McHenry County, IL7198$4.0M
inflow2223Oakland County, MI7083$4.7M
outflow2223Alameda County, CA7091$6.8M
inflow2223Dubuque County, IA6981$3.9M
inflow2223Dakota County, MN6779$3.4M
inflow2223Will County, IL6686$3.9M
outflow2223Ozaukee County, WI6596$5.0M
outflow2223Lake County, IL6595$6.1M
inflow2223Denver County, CO6479$4.7M
inflow2223Travis County, TX6388$5.6M
inflow2223Kane County, IL6277$5.0M
outflow2223Sheboygan County, WI6278$3.2M
inflow2223Johnson County, IA6295$5.4M
outflow2223Racine County, WI6277$3.1M
inflow2223Santa Clara County, CA6284$7.9M
outflow2223Fond du Lac County, WI6293$3.8M
outflow2223Fulton County, GA6172$3.5M
outflow2223Suffolk County, MA6171$4.4M
outflow2223Wood County, WI6189$3.4M
inflow2223Middlesex County, MA6073$4.4M
outflow2223Salt Lake County, UT5976$4.5M
outflow2223Dallas County, TX5992$4.9M
outflow2223Philadelphia County, PA5868$4.2M
outflow2223San Francisco County, CA5764$5.3M
outflow2223Olmsted County, MN5793$5.2M
outflow2223Clark County, NV5788$4.6M
inflow2223Montgomery County, MD5775$3.9M
inflow2223Clark County, NV5793$4.8M
inflow2223Washtenaw County, MI5564$3.2M
inflow2223New York County, NY5572$5.7M
inflow2223Alameda County, CA5573$4.5M
outflow2223Dakota County, MN5581$3.7M
outflow2223Washtenaw County, MI5470$5.2M
outflow2223Multnomah County, OR5465$4.1M
inflow2223Orange County, CA5373$3.2M
inflow2223Polk County, IA5372$3.0M
inflow2223Kings County, NY5271$3.7M
outflow2223Larimer County, CO5278$4.2M
inflow2223Richland County, WI5272$2.7M
outflow2223Kenosha County, WI5159$2.6M
inflow2223Salt Lake County, UT5179$3.4M
inflow2223Fulton County, GA5067$3.3M
outflow2223Pinellas County, FL5069$5.9M
outflow2223Lee County, FL5082$13.4M
inflow2223Olmsted County, MN4974$4.1M
outflow2223Marquette County, WI4975$3.4M
outflow2223Collin County, TX49135$6.7M
outflow2223Oakland County, MI4858$3.6M
outflow2223Oneida County, WI4766$5.3M
inflow2223Suffolk County, MA4757$6.7M
inflow2223Manitowoc County, WI4759$2.1M
inflow2223Dallas County, TX4769$3.5M
inflow2223Philadelphia County, PA4765$4.6M
outflow2223Davidson County, TN4757$2.9M
outflow2223Franklin County, OH4756$2.9M
outflow2223Hillsborough County, FL4670$4.5M
outflow2223Jefferson County, CO4659$3.4M
outflow2223Adams County, WI4672$2.8M
inflow2223Door County, WI4659$2.7M
inflow2223Wake County, NC4559$2.9M
inflow2223Monroe County, WI4461$2.7M
inflow2223Lafayette County, WI4456$3.6M
inflow2223Wayne County, MI4450$2.4M
inflow2223Allegheny County, PA4450$2.3M
inflow2223Marion County, IN4469$3.2M
inflow2223Oneida County, WI4459$3.0M
outflow2223Tarrant County, TX4373$4.9M
inflow2223Cuyahoga County, OH4356$2.5M
inflow2223Calumet County, WI4355$2.8M
outflow2223Boulder County, CO4362$5.1M
inflow2223Adams County, WI4263$3.0M
inflow2223St. Louis County, MO4258$2.6M
inflow2223District of Columbia, DC4250$3.8M
inflow2223Tarrant County, TX4273$3.0M
inflow2223Fairfax County, VA4252$3.0M
inflow2223Bexar County, TX4154$2.0M
inflow2223Queens County, NY4162$2.0M
outflow2223Mecklenburg County, NC4064$4.0M
inflow2223Pima County, AZ4054$2.6M
inflow2223Larimer County, CO4053$2.9M
inflow2223Miami-Dade County, FL4067$3.6M
inflow2223Multnomah County, OR4056$3.8M
inflow2223Champaign County, IL3947$1.7M
outflow2223San Mateo County, CA3964$5.4M
inflow2223Hamilton County, OH3858$3.1M
outflow2223Lafayette County, WI3863$2.2M
outflow2223Pima County, AZ3863$3.4M
outflow2223Richland County, WI3859$1.8M
inflow2223Kent County, MI3848$1.8M
inflow2223Lee County, FL3761$3.7M
outflow2223Stephenson County, IL3761$1.8M
outflow2223Juneau County, WI3768$2.7M
inflow2223El Paso County, CO3760$2.6M
inflow2223Collin County, TX3745$2.2M
outflow2223Johnson County, IA3646$2.5M
outflow2223Queens County, NY3637$2.3M
outflow2223Denton County, TX3679$4.5M
inflow2223Hillsborough County, FL3650$2.0M
inflow2223Arapahoe County, CO3660$2.5M
outflow2223Orange County, CA3657$3.2M
inflow2223Vilas County, WI3547$3.6M
inflow2223San Bernardino County, CA3551$1.6M
inflow2223Riverside County, CA3552$3.1M
outflow2223Montgomery County, MD3549$1.8M
outflow2223Marion County, IN3548$1.7M
inflow2223Washington County, MN3544$2.9M
inflow2223Boulder County, CO3445$3.0M
inflow2223Marquette County, WI3439$1.5M
inflow2223Davidson County, TN3451$1.9M
inflow2223Stephenson County, IL3457$1.7M
inflow2223DeKalb County, IL3446$1.4M
outflow2223Vernon County, WI3449$2.5M
outflow2223Fairfax County, VA3441$2.4M
inflow2223Pinellas County, FL3443$2.6M
outflow2223Allegheny County, PA3348$1.9M
outflow2223Kane County, IL3353$2.4M

UAD APPRAISALS

FHFA Uniform Appraisal Dataset aggregates for Dane County.

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

2023PurchaseNo CharacteristicAll Appraisals3,257.0
2023PurchaseNo CharacteristicAll Appraisals0.3
2023RefinanceNo CharacteristicAll Appraisals775.0
2023PurchaseNo CharacteristicAll Appraisals1.0
2023BothNo CharacteristicAll Appraisals4,032.0
2023PurchaseNo CharacteristicAll Appraisals0.6
2023PurchaseNo CharacteristicAll Appraisals1.0
2023RefinanceNo CharacteristicAll Appraisals470,000.0
2023BothNo CharacteristicAll Appraisals441,500.0
2023PurchaseNo CharacteristicAll Appraisals439,000.0
2023PurchaseNo CharacteristicAll Appraisals0.1
2022PurchaseNo CharacteristicAll Appraisals1.0
2022BothNo CharacteristicAll Appraisals416,000.0
2022PurchaseNo CharacteristicAll Appraisals0.3
2022PurchaseNo CharacteristicAll Appraisals413,000.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022RefinanceNo CharacteristicAll Appraisals1,636.0
2022PurchaseNo CharacteristicAll Appraisals0.1
2022PurchaseNo CharacteristicAll Appraisals0.6
2022RefinanceNo CharacteristicAll Appraisals432,500.0
2022BothNo CharacteristicAll Appraisals6,048.0
2022PurchaseNo CharacteristicAll Appraisals4,412.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021RefinanceNo CharacteristicAll Appraisals380,000.0
2021BothNo CharacteristicAll Appraisals10,609.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021PurchaseNo CharacteristicAll Appraisals5,513.0
2021PurchaseNo CharacteristicAll Appraisals0.3
2021RefinanceNo CharacteristicAll Appraisals5,096.0
2021PurchaseNo CharacteristicAll Appraisals0.1
2021BothNo CharacteristicAll Appraisals375,000.0
2021PurchaseNo CharacteristicAll Appraisals0.6
2021PurchaseNo CharacteristicAll Appraisals370,000.0
2020PurchaseNo CharacteristicAll Appraisals0.1
2020PurchaseNo CharacteristicAll Appraisals1.0
2020BothNo CharacteristicAll Appraisals13,394.0
2020PurchaseNo CharacteristicAll Appraisals5,569.0
2020PurchaseNo CharacteristicAll Appraisals0.6
2020BothNo CharacteristicAll Appraisals350,000.0
2020RefinanceNo CharacteristicAll Appraisals365,000.0
2020RefinanceNo CharacteristicAll Appraisals7,825.0
2020PurchaseNo CharacteristicAll Appraisals335,000.0
2020PurchaseNo CharacteristicAll Appraisals1.0
2020PurchaseNo CharacteristicAll Appraisals0.3
2019PurchaseNo CharacteristicAll Appraisals0.1
2019PurchaseNo CharacteristicAll Appraisals1.0
2019BothNo CharacteristicAll Appraisals325,000.0
2019PurchaseNo CharacteristicAll Appraisals5,366.0
2019PurchaseNo CharacteristicAll Appraisals0.3
2019PurchaseNo CharacteristicAll Appraisals1.0
2019RefinanceNo CharacteristicAll Appraisals335,000.0
2019BothNo CharacteristicAll Appraisals9,664.0
2019RefinanceNo CharacteristicAll Appraisals4,298.0
2019PurchaseNo CharacteristicAll Appraisals318,000.0
2019PurchaseNo CharacteristicAll Appraisals0.7
2018RefinanceNo CharacteristicAll Appraisals296,000.0
2018BothNo CharacteristicAll Appraisals7,415.0
2018PurchaseNo CharacteristicAll Appraisals5,375.0
2018RefinanceNo CharacteristicAll Appraisals2,040.0
2018BothNo CharacteristicAll Appraisals303,000.0
2018PurchaseNo CharacteristicAll Appraisals305,000.0
2018PurchaseNo CharacteristicAll Appraisals0.7
2018PurchaseNo CharacteristicAll Appraisals0.1
2018PurchaseNo CharacteristicAll Appraisals0.3
2018PurchaseNo CharacteristicAll Appraisals1.0
2018PurchaseNo CharacteristicAll Appraisals1.0
2017RefinanceNo CharacteristicAll Appraisals284,000.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals0.2
2017PurchaseNo CharacteristicAll Appraisals0.1
2017BothNo CharacteristicAll Appraisals8,324.0
2017PurchaseNo CharacteristicAll Appraisals5,425.0
2017PurchaseNo CharacteristicAll Appraisals290,000.0
2017RefinanceNo CharacteristicAll Appraisals2,899.0
2017PurchaseNo CharacteristicAll Appraisals0.7
2017BothNo CharacteristicAll Appraisals288,000.0
2016PurchaseNo CharacteristicAll Appraisals5,334.0
2016RefinanceNo CharacteristicAll Appraisals298,000.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals275,000.0
2016PurchaseNo CharacteristicAll Appraisals0.7
2016PurchaseNo CharacteristicAll Appraisals0.1
2016BothNo CharacteristicAll Appraisals285,000.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals0.2
2016BothNo CharacteristicAll Appraisals11,369.0
2016RefinanceNo CharacteristicAll Appraisals6,035.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2015PurchaseNo CharacteristicAll Appraisals259,000.0
2015PurchaseNo CharacteristicAll Appraisals0.2
2015RefinanceNo CharacteristicAll Appraisals270,000.0
2015BothNo CharacteristicAll Appraisals9,407.0
2015RefinanceNo CharacteristicAll Appraisals4,320.0
2015PurchaseNo CharacteristicAll Appraisals0.0
2015PurchaseNo CharacteristicAll Appraisals0.7
2015PurchaseNo CharacteristicAll Appraisals5,087.0
2015BothNo CharacteristicAll Appraisals264,000.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2014BothNo CharacteristicAll Appraisals258,000.0

ECONOMY & INCOME

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

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

BLS Local Area Unemployment

2026-05339,956331,4918,4652.5%
2026-04342,613333,3039,3102.7%
2026-03342,566332,28410,2823.0%
2026-02341,590330,63110,9593.2%
2026-01337,731328,1839,5482.8%
2025-12342,760334,5418,2192.4%
2025-11345,210336,8728,3382.4%
2025-09340,378332,4587,9202.3%
2025-08339,921331,1468,7752.6%
2025-07342,537333,4029,1352.7%
2025-06342,517332,9109,6072.8%
2025-05336,268327,4388,8302.6%
2025-04341,379332,9688,4112.5%
2025-03341,677332,6948,9832.6%
2025-02341,877332,5649,3132.7%
2025-01339,674331,3128,3622.5%
2024-12343,141335,5967,5452.2%
2024-11346,644339,0397,6052.2%
2024-10346,165338,7987,3672.1%
2024-09344,664336,9827,6822.2%
2024-08343,511335,0678,4442.5%
2024-07345,318336,1349,1842.7%
2024-06343,820334,1849,6362.8%
2024-05336,870328,6958,1752.4%
2024-04340,790333,0787,7122.3%
2024-03341,779332,9978,7822.6%
2024-02340,547332,3338,2142.4%
2024-01334,803327,9176,8862.1%
2023-12340,075333,7046,3711.9%
2023-11343,750337,3326,4181.9%
2023-10343,132336,0517,0812.1%
2023-09342,067334,4017,6662.2%
2023-08341,089332,1798,9102.6%
2023-07342,077333,8188,2592.4%
2023-06339,180330,0089,1722.7%
2023-05332,982325,7947,1882.2%
2023-04333,847327,7186,1291.8%
2023-03332,408325,6386,7702.0%
2023-02331,180324,2616,9192.1%
2023-01326,274319,4246,8502.1%
2022-12330,043324,8715,1721.6%
2022-11331,367325,6155,7521.7%
2022-10331,870325,9735,8971.8%
2022-09330,948324,2516,6972.0%
2022-08330,570323,1297,4412.3%
2022-07332,603324,9197,6842.3%
2022-06330,896322,1638,7332.6%
2022-05324,856318,2126,6442.0%
2022-04324,712318,2536,4592.0%
2022-03325,321317,5597,7622.4%
2022-02326,069317,9138,1562.5%
2022-01322,117314,3017,8162.4%
2021-12325,403319,6675,7361.8%
2021-11328,206322,1116,0951.9%
2021-10327,096320,5556,5412.0%
2021-09328,089320,6667,4232.3%
2021-08329,193319,9639,2302.8%
2021-07332,932322,9859,9473.0%
2021-06330,404318,76411,6403.5%
2021-05323,454313,8359,6193.0%
2021-04323,537313,17510,3623.2%
2021-03322,225310,44111,7843.7%
2021-02321,975309,90112,0743.7%
2021-01318,325306,36511,9603.8%
2020-12322,493311,06911,4243.5%
2020-11326,375314,98911,3863.5%
2020-10326,853314,93711,9163.6%
2020-09323,517309,34814,1694.4%
2020-08324,319308,24316,0765.0%
2020-07324,859304,00520,8546.4%
2020-06319,529295,64823,8817.5%
2020-05315,062289,43025,6328.1%
2020-04310,938278,19832,74010.5%
2020-03320,917312,7348,1832.5%
2020-02325,359318,1787,1812.2%
2020-01320,758312,9377,8212.4%
2019-12323,363317,1106,2531.9%
2019-11326,059319,6596,4002.0%
2019-10325,168318,6566,5122.0%
2019-09322,245315,3686,8772.1%
2019-08324,107316,2247,8832.4%
2019-07327,896319,3778,5192.6%
2019-06326,831317,0629,7693.0%
2019-05319,385311,2548,1312.5%
2019-04321,463314,2527,2112.2%
2019-03322,216313,9558,2612.6%
2019-02322,880314,9977,8832.4%
2019-01316,599308,5978,0022.5%
2018-12320,009313,5626,4472.0%
2018-11321,655315,5616,0941.9%
2018-10321,006314,7266,2802.0%
2018-09319,204313,2605,9441.9%
2018-08319,819312,8416,9782.2%
2018-07325,237317,4187,8192.4%
2018-06323,864314,4559,4092.9%
2018-05319,406312,2977,1092.2%
2018-04320,063313,3196,7442.1%
2018-03321,335313,2038,1322.5%
2018-02322,313314,0948,2192.6%
2018-01316,501308,8437,6582.4%

BEA Personal Income

2024$47.78B588,347$81K
2023$45.13B579,739$78K
2022$42.24B570,869$74K
2021$40.87B561,788$73K
2020$36.92B562,620$66K
2019$34.96B556,790$63K
2018$32.96B550,612$60K
2017$30.92B545,075$57K
2016$29.55B537,961$55K
2015$28.34B528,593$54K
2014$26.58B520,807$51K
2013$25.44B513,242$50K
2012$24.62B505,315$49K
2011$23.50B497,357$47K
2010$21.92B489,493$45K
2009$21.35B484,979$44K
2008$21.60B477,791$45K
2007$20.92B471,644$44K
2006$20.00B465,018$43K
2005$18.78B459,048$41K
2004$18.05B453,327$40K
2003$17.28B447,515$39K
2002$16.68B441,623$38K
2001$16.06B434,745$37K
2000$15.02B428,231$35K
1999$13.83B423,248$33K
1998$13.25B420,208$32K
1997$12.32B418,356$29K
1996$11.56B412,013$28K
1995$11.03B406,579$27K
1994$10.35B400,783$26K
1993$9.76B394,392$25K
1992$9.21B385,362$24K
1991——$22K

NFIP FLOOD CLAIMS

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

FEMA NFIP redacted claims (nfip_claim, county_code)

2024-09-21$0——Yes
2024-06-22$19K$19K$0Yes
2024-06-22$305K$225K$80KYes
2024-06-22$10K$10K$0Yes
2024-05-22$10K$10K$0Yes
2023-07-28$35K$35K$0No
2023-04-07$0$0$0Yes
2022-09-17$0$0$0No
2022-06-08$0——Yes
2022-03-05$0——Yes
2020-07-15$4K$4K$0Yes
2020-05-18$0$0$0Yes
2020-03-27$250K$250K$0Yes
2019-11-22$0$0$0Yes
2019-10-03$0$0$0Yes
2019-10-01$0——Yes
2019-09-10$0——No
2019-04-01$0——Yes
2019-03-18$0——No
2019-03-14$18K$10K$8KNo
2019-03-14$0——Yes
2019-03-14$0——Yes
2019-03-13$17K$17K$0Yes
2019-03-09$0——Yes
2019-02-23$4K$3K$948.75Yes
2018-12-12$0——Yes
2018-10-10$2K$2K$0Yes
2018-10-01$33K$28K$5KYes
2018-09-15$3K$3K$0Yes
2018-09-15$5K$5K$0Yes
2018-09-05$93K$63K$0Yes
2018-09-05$39K$38K$701.34No
2018-09-05$2K$2K$0Yes
2018-09-03$2K$2K$0Yes
2018-09-03$6K$6K$0Yes
2018-08-30$0——Yes
2018-08-23$9K$9K$0No
2018-08-23$508.79$508.79$0Yes
2018-08-22$1K$1K$0Yes
2018-08-21$20K$16K$4KYes
2018-08-21$86K$78K$8KYes
2018-08-21$124K$94K$0Yes
2018-08-21$2K$2K$0Yes
2018-08-21$974.59$974.59$0Yes
2018-08-21$51K$51K$0Yes
2018-08-21$11K$11K$0Yes
2018-08-21$57K$22K$35KNo
2018-08-21$30K$22K$7KYes
2018-08-21$99K$70K$10KYes
2018-08-21$121K$116K$5KYes
2018-08-21$49K$42K$7KYes
2018-08-21$72K$65K$7KNo
2018-08-21$59K$59K$0Yes
2018-08-21$137K$102K$4KYes
2018-08-20$2K$2K$310.75Yes
2018-08-20$46K$26K$20KYes
2018-08-20$6K$6K$0Yes
2018-08-20$25K$25K$0Yes
2018-08-20$23K$23K$0Yes
2018-08-20$0——Yes
2018-08-20$96K$87K$9KYes
2018-08-20$50K$50K$0Yes
2018-08-20$50K$32K$18KYes
2018-08-20$15K$13K$3KYes
2018-08-20$459K$459K$0No
2018-08-20$2K$2K$0Yes
2018-08-20$500K$0$500KNo
2018-08-20$24K$16K$7KYes
2018-08-20$76K$76K$0Yes
2018-08-20$197.72$197.72$0Yes
2018-08-20$0——No
2018-08-20$59K$59K$0Yes
2018-08-20$39K$39K$0Yes
2018-08-20$122K$122K$0Yes
2018-08-20$136K$107K$29KNo
2018-08-20$100K$100K$0No
2018-08-20$500K$500K$0No
2018-08-20$6K$6K$0Yes
2018-08-20$26K$25K$1KYes
2018-08-20$141K$93K$47KYes
2018-08-20$60K$60K$0Yes
2018-08-20$383K$383K$0No
2018-08-20$105K$75K$30KYes
2018-08-20$672.85$672.85$0Yes
2018-08-20$47K$42K$5KYes
2018-08-20$3K$3K$0Yes
2018-08-20$937.52$937.52$0Yes
2018-08-20$93K$85K$0No
2018-08-20$27K$27K$0Yes
2018-08-20$41K$41K$0No
2018-08-20$20K$19K$548.27Yes
2018-08-20$10K$10K$108.79Yes
2018-08-20$37K$26K$11KYes
2018-08-20$87K$87K$0Yes
2018-08-20$31K$26K$6KNo
2018-08-20$0——Yes
2018-08-20$1K$1K$0No
2018-08-20$835.22$835.22$0Yes
2018-08-20$124K$93K$31KYes
2018-08-20$38K$38K$0Yes

ALSO CHECKED

18 more data areas were checked for Dane 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 DANE COUNTY →Opens the loan explorer already filtered to county FIPS 55025.

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.