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State markets/Iowa/Monona County

COUNTY MORTGAGE MARKET · FIPS 19133

Monona County, Iowa

Who lends in Monona 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

$25.0M

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

Originations · 2025

157

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

Denial rate · 2025

21.3%

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

Lenders active · 2025

66

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

Concentration (HHI)

511

unconcentrated

Top-5 lender share

39.1%

of originations

Purchase

66.7%

86 loans

Refinance

33.3%

43 loans

Origination trend

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

Lenders in Monona 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 Monona 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 MONONA COUNTY

TOP TEN LENDERS IN MONONA 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.

24$3.2M$3.2M originated in Monona County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
1$1.7M$1.7M originated in Monona County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
14$1.7M$1.7M originated in Monona County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
10$1.7M$1.7M originated in Monona County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
8$1.5M$1.5M originated in Monona County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
7$1.5M$1.5M originated in Monona County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
10$1.3M$1.3M originated in Monona County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
7$1.2M$1.2M originated in Monona County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
8$1.2M$1.2M originated in Monona County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
6$990K$990K originated in Monona County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.

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

ZIP areas in Monona County

All 15 ZIP Code Tabulation Areas that touch Monona County, built by grouping the county's census tracts through the Census 2020 crosswalk. A ZCTA approximates a USPS ZIP code; HMDA itself reports no postal geography, so each row opens the tracts behind it, where the records are exact.

TRACT FLOOR
Hide the ZIP areas that only clip a corner of this county.
15 OF 15 ZIP AREASEVERY ZIP AREA TOUCHING THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
22 of the 4 Monona County tracts this ZIP area touches sit mostly inside it.4,94310.9%1,522TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
11 of the 2 Monona County tracts this ZIP area touches sit mostly inside it.2,1415.0%794OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 1 Monona County tract this ZIP area touches sit mostly inside it.1,6673.3%625OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
0This ZIP area clips 3 tracts of Monona 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 Monona 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 Monona 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 Monona 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 Monona 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 Monona 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 Monona 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 Monona 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 Monona 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 Monona 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 Monona 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 Monona 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.

4 of Monona County’s 5 census tracts are grouped into the ZIP areas above; the other 1 lie in no ZCTA at all — water, parkland or unpopulated area the Census leaves outside every ZIP polygon — and are listed in the census-tract table below. The two add up to the county exactly, because each tract is counted once. A ZCTA — ZIP Code Tabulation Area — is the U.S. Census Bureau's area approximation of a USPS ZIP code, not the ZIP code itself. HMDA reports no postal geography at all, so these rows are census tracts grouped by the Census 2020 tract-to-ZCTA relationship file: each tract is counted once, in the single ZCTA covering the most of its land. Housing figures are HMDA tract attributes for activity year 2025, summed over the tracts each ZIP area owns — a ZIP area that owns no tract shows an em-dash, never a zero.

Census tracts in Monona County

All 5 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.

5 OF 5 TRACTSEVERY TRACT IN THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
Middle95.2%2,1415.0%OPEN →
Middle119.1%2,01611.1%OPEN →
Middle82.3%2,92710.8%OPEN →
Middle100.7%1,6673.3%OPEN →
Middle95.2%OPEN →

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

Housing & households

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

Population

8,557

Median household income

$68,377

Median home value

$142,900

Median gross rent

$855

per month

Owner-occupied

75.7%

of occupied units

Housing units

4,372

11.3% vacant

Poverty rate

10.6%

Unemployment

1.6%

Natural-hazard exposure

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

Overall risk

Very Low

score 25.1

Social vulnerability

Relatively Low

Community resilience

Very 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

87

Declarations recorded

20

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

Everything we hold on Monona 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 Monona County.

HMDA loan-level (hmda_loan_wide, county_code)

Open the loan explorer for Monona CountyEvery reported application and origination in FIPS 19133, filterable on rate, amount, income, purpose and action taken. Loan-level tier.

VA

VA-guaranteed lending in Monona 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

18

Purchase share

50.0%

9 loans

IRRRL refinances

4

Cash-out refinances

5

202618945
202515816
2024101000
20236600
20221043
20212210111
202010721
20199603
201810901
20176510
201610631
201513337

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 Monona 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

Monona 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

7

+133.3% vs 2024

Multifamily · 2025

0

Total authorized · 2025

7

+133.3% vs 2024

Permit valuation · 2025

$2.9M

authorized construction value

Units authorized by year

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

UNITS · SF IN TOOLTIP
025507510019901992199419961998200020022004200620082010201220142016201820202022202420257 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 Monona County, showing population movement and wealth transfer.

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

inflow2223Other flows - Northeast, DS
outflow2223Other flows - Northeast, DS
inflow2223Other flows - West, DS
outflow2223Other flows - South, DS
outflow2223Other flows - West, DS
inflow2223Other flows - South, DS
outflow2223Woodbury County, IA69119$2.6M
inflow2223Woodbury County, IA65119$3.2M
outflow2223Other flows - Midwest, DS5488$2.8M
inflow2223Other flows - Midwest, DS5394$2.8M
inflow2122Other flows - Northeast, DS
outflow2122Other flows - South, DS
outflow2122Other flows - West, DS
outflow2122Foreign - Other flows, FR
inflow2122Other flows - South, DS
inflow2122Other flows - West, DS
inflow2122Foreign - Other flows, FR
outflow2122Woodbury County, IA5497$2.8M
inflow2122Woodbury County, IA53113$2.7M
outflow2122Other flows - Midwest, DS4683$2.1M
inflow2122Other flows - Midwest, DS3784$2.6M
inflow2021Other flows - South, DS
outflow2021Foreign - Other flows, FR
inflow2021Foreign - Other flows, FR
inflow2021Other flows - Northeast, DS
inflow2021Other flows - West, DS
outflow2021Other flows - South, DS
outflow2021Other flows - West, DS
inflow2021Woodbury County, IA67120$3.2M
outflow2021Other flows - Midwest, DS57112$4.8M
outflow2021Woodbury County, IA57101$2.3M
inflow2021Other flows - Midwest, DS4692$2.2M
inflow1920Other flows - West, DS
outflow1920Other flows - Northeast, DS
outflow1920Other flows - West, DS
outflow1920Foreign - Other flows, FR
inflow1920Other flows - Northeast, DS
inflow1920Other flows - South, DS
outflow1920Other flows - South, DS
outflow1920Woodbury County, IA65121$2.7M
inflow1920Woodbury County, IA5597$2.1M
inflow1920Other flows - Midwest, DS5498$2.1M
outflow1920Other flows - Midwest, DS4899$2.0M
inflow1819Other flows - South, DS
inflow1819Foreign - Other flows, FR
inflow1819Other flows - West, DS
outflow1819Other flows - West, DS
inflow1819Other flows - Northeast, DS
inflow1819Other flows - Midwest, DS73147$3.5M
outflow1819Woodbury County, IA60107$2.5M
inflow1819Woodbury County, IA55113$2.5M
outflow1819Other flows - Midwest, DS4896$1.9M
outflow1819Other flows - South, DS2257$1.3M
inflow1718Foreign - Other flows, FR
outflow1718Other flows - South, DS
outflow1718Other flows - West, DS
inflow1718Other flows - Northeast, DS
inflow1718Other flows - South, DS
inflow1718Other flows - West, DS
outflow1718Woodbury County, IA81139$2.8M
inflow1718Woodbury County, IA52111$2.6M
outflow1718Other flows - Midwest, DS5081$2.9M
inflow1718Other flows - Midwest, DS4591$2.1M
outflow1617Other flows - Northeast, DS
inflow1617Other flows - Northeast, DS
outflow1617Other flows - West, DS
inflow1617Woodbury County, IA97212$4.0M
outflow1617Woodbury County, IA71150$3.2M
outflow1617Other flows - Midwest, DS63120$2.4M
inflow1617Other flows - Midwest, DS53102$2.0M
inflow1617Other flows - West, DS2654$715K
outflow1617Other flows - South, DS2339$1.2M
inflow1617Other flows - South, DS2045$866K
inflow1516Other flows - South, DS
outflow1516Other flows - Northeast, DS
inflow1516Foreign - Other flows, FR
outflow1516Other flows - South, DS
outflow1516Other flows - West, DS
inflow1516Other flows - West, DS
inflow1516Other flows - Northeast, DS
outflow1516Woodbury County, IA62110$2.1M
inflow1516Woodbury County, IA53106$2.2M
outflow1516Other flows - Midwest, DS5295$1.9M
inflow1516Other flows - Midwest, DS4481$2.5M
outflow1415Foreign - Other flows, FR
outflow1415Other flows - Northeast, DS
outflow1415Other flows - South, DS
outflow1415Other flows - West, DS
inflow1415Other flows - South, DS
inflow1415Other flows - West, DS
inflow1415Foreign - Other flows, FR
outflow1415Woodbury County, IA4690$1.9M
inflow1415Woodbury County, IA4571$1.5M
outflow1415Other flows - Midwest, DS3258$971K
inflow1415Other flows - Midwest, DS3161$869K
inflow1314Other flows - Northeast, DS
outflow1314Other flows - Northeast, DS
inflow1314Other flows - West, DS
inflow1314Other flows - South, DS
outflow1314Other flows - South, DS
outflow1314Other flows - West, DS
inflow1314Woodbury County, IA60133$2.0M
outflow1314Other flows - Midwest, DS5693$2.5M
outflow1314Woodbury County, IA5487$1.7M
inflow1314Other flows - Midwest, DS4183$1.7M
outflow1213Other flows - West, DS
inflow1213Other flows - Northeast, DS
outflow1213Foreign - Other flows, FR
outflow1213Other flows - Northeast, DS
outflow1213Woodbury County, IA70134$2.6M
inflow1213Woodbury County, IA57112$2.0M
inflow1213Other flows - Midwest, DS4486$2.3M
outflow1213Other flows - Midwest, DS4289$1.7M
inflow1213Other flows - West, DS1527$486K
inflow1213Other flows - South, DS1217$400K
outflow1213Douglas County, NE1218$359K
outflow1213Other flows - South, DS1116$365K
inflow1213Douglas County, NE1021$830K
outflow1213Harrison County, IA1021$410K
inflow1112Foreign - Other flows, FR
outflow1112Other flows - Northeast, DS
inflow1112Other flows - Northeast, DS
inflow1112Woodbury County, IA65118$2.1M
outflow1112Woodbury County, IA55112$1.9M
outflow1112Other flows - Midwest, DS4277$1.5M
inflow1112Other flows - Midwest, DS3562$2.0M
inflow1112Other flows - South, DS1631$790K
outflow1112Other flows - West, DS1422$413K
inflow1112Crawford County, IA1437$451K
outflow1112Other flows - South, DS1229$354K
inflow1112Harrison County, IA1228$640K
outflow1112Crawford County, IA1225$223K
outflow1112Harrison County, IA1123$351K
inflow1112Other flows - West, DS1133$461K
outflow1112Douglas County, NE1014$378K

UAD APPRAISALS

FHFA Uniform Appraisal Dataset aggregates for Monona County.

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

2023PurchaseNo CharacteristicAll Appraisals35.0
2023PurchaseNo CharacteristicAll Appraisals0.3
2023RefinanceNo CharacteristicAll Appraisals13.0
2023PurchaseNo CharacteristicAll Appraisals1.1
2023BothNo CharacteristicAll Appraisals48.0
2023PurchaseNo CharacteristicAll Appraisals0.7
2023PurchaseNo CharacteristicAll Appraisals1.0
2023RefinanceNo CharacteristicAll Appraisals199,000.0
2023BothNo CharacteristicAll Appraisals158,000.0
2023PurchaseNo CharacteristicAll Appraisals139,000.0
2023PurchaseNo CharacteristicAll Appraisals0.0
2022PurchaseNo CharacteristicAll Appraisals1.1
2022BothNo CharacteristicAll Appraisals166,000.0
2022PurchaseNo CharacteristicAll Appraisals0.3
2022PurchaseNo CharacteristicAll Appraisals163,000.0
2022PurchaseNo CharacteristicAll Appraisals0.9
2022RefinanceNo CharacteristicAll Appraisals21.0
2022PurchaseNo CharacteristicAll Appraisals0.0
2022PurchaseNo CharacteristicAll Appraisals0.8
2022RefinanceNo CharacteristicAll Appraisals177,000.0
2022BothNo CharacteristicAll Appraisals69.0
2022PurchaseNo CharacteristicAll Appraisals48.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021RefinanceNo CharacteristicAll Appraisals161,000.0
2021BothNo CharacteristicAll Appraisals102.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021PurchaseNo CharacteristicAll Appraisals51.0
2021PurchaseNo CharacteristicAll Appraisals0.3
2021RefinanceNo CharacteristicAll Appraisals51.0
2021PurchaseNo CharacteristicAll Appraisals0.0
2021BothNo CharacteristicAll Appraisals144,500.0
2021PurchaseNo CharacteristicAll Appraisals0.7
2021PurchaseNo CharacteristicAll Appraisals138,000.0
2020PurchaseNo CharacteristicAll Appraisals0.0
2020PurchaseNo CharacteristicAll Appraisals1.0
2020BothNo CharacteristicAll Appraisals98.0
2020PurchaseNo CharacteristicAll Appraisals47.0
2020PurchaseNo CharacteristicAll Appraisals0.6
2020BothNo CharacteristicAll Appraisals155,000.0
2020RefinanceNo CharacteristicAll Appraisals185,000.0
2020RefinanceNo CharacteristicAll Appraisals51.0
2020PurchaseNo CharacteristicAll Appraisals129,500.0
2020PurchaseNo CharacteristicAll Appraisals1.0
2020PurchaseNo CharacteristicAll Appraisals0.3
2019PurchaseNo CharacteristicAll Appraisals0.0
2019PurchaseNo CharacteristicAll Appraisals1.0
2019BothNo CharacteristicAll Appraisals145,000.0
2019PurchaseNo CharacteristicAll Appraisals45.0
2019PurchaseNo CharacteristicAll Appraisals0.2
2019PurchaseNo CharacteristicAll Appraisals1.1
2019RefinanceNo CharacteristicAll Appraisals168,000.0
2019BothNo CharacteristicAll Appraisals77.0
2019RefinanceNo CharacteristicAll Appraisals32.0
2019PurchaseNo CharacteristicAll Appraisals98,000.0
2019PurchaseNo CharacteristicAll Appraisals0.7
2018RefinanceNo CharacteristicAll Appraisals162,500.0
2018BothNo CharacteristicAll Appraisals53.0
2018PurchaseNo CharacteristicAll Appraisals27.0
2018RefinanceNo CharacteristicAll Appraisals26.0
2018BothNo CharacteristicAll Appraisals139,000.0
2018PurchaseNo CharacteristicAll Appraisals95,000.0
2018PurchaseNo CharacteristicAll Appraisals0.7
2018PurchaseNo CharacteristicAll Appraisals0.0
2018PurchaseNo CharacteristicAll Appraisals0.3
2018PurchaseNo CharacteristicAll Appraisals0.9
2018PurchaseNo CharacteristicAll Appraisals1.1
2017RefinanceNo CharacteristicAll Appraisals158,500.0
2017PurchaseNo CharacteristicAll Appraisals0.9
2017PurchaseNo CharacteristicAll Appraisals1.1
2017PurchaseNo CharacteristicAll Appraisals0.3
2017PurchaseNo CharacteristicAll Appraisals0.0
2017BothNo CharacteristicAll Appraisals66.0
2017PurchaseNo CharacteristicAll Appraisals44.0
2017PurchaseNo CharacteristicAll Appraisals102,000.0
2017RefinanceNo CharacteristicAll Appraisals22.0
2017PurchaseNo CharacteristicAll Appraisals0.8
2017BothNo CharacteristicAll Appraisals110,000.0
2016PurchaseNo CharacteristicAll Appraisals26.0
2016RefinanceNo CharacteristicAll Appraisals142,500.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals147,000.0
2016PurchaseNo CharacteristicAll Appraisals0.8
2016PurchaseNo CharacteristicAll Appraisals0.0
2016BothNo CharacteristicAll Appraisals144,500.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals0.1
2016BothNo CharacteristicAll Appraisals52.0
2016RefinanceNo CharacteristicAll Appraisals26.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2015PurchaseNo CharacteristicAll Appraisals93,000.0
2015PurchaseNo CharacteristicAll Appraisals0.3
2015RefinanceNo CharacteristicAll Appraisals136,000.0
2015BothNo CharacteristicAll Appraisals45.0
2015RefinanceNo CharacteristicAll Appraisals18.0
2015PurchaseNo CharacteristicAll Appraisals0.0
2015PurchaseNo CharacteristicAll Appraisals0.7
2015PurchaseNo CharacteristicAll Appraisals27.0
2015BothNo CharacteristicAll Appraisals108,000.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2014BothNo CharacteristicAll Appraisals86,000.0

ECONOMY & INCOME

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

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

BLS Local Area Unemployment

2026-054,5484,4331152.5%
2026-044,5534,4521012.2%
2026-034,5434,4011423.1%
2026-024,5184,3541643.6%
2026-014,4324,2761563.5%
2025-124,5174,3741433.2%
2025-114,5134,3901232.7%
2025-094,4874,389982.2%
2025-084,5244,3841403.1%
2025-074,6704,5251453.1%
2025-064,6534,5261272.7%
2025-054,5434,4211222.7%
2025-044,5994,4821172.5%
2025-034,5604,4081523.3%
2025-024,4854,3211643.7%
2025-014,5384,3631753.9%
2024-124,4234,2981252.8%
2024-114,3954,2641313.0%
2024-104,4484,3251232.8%
2024-094,3854,287982.2%
2024-084,3854,2621232.8%
2024-074,4884,3651232.7%
2024-064,5574,4401172.6%
2024-054,5004,3971032.3%
2024-044,4434,360831.9%
2024-034,4534,3291242.8%
2024-024,4224,2681543.5%
2024-014,3774,1941834.2%
2023-124,4284,2901383.1%
2023-114,4474,3361112.5%
2023-104,4594,3431162.6%
2023-094,4324,3291032.3%
2023-084,3984,2741242.8%
2023-074,4684,3531152.6%
2023-064,5834,4631202.6%
2023-054,4894,3841052.3%
2023-044,5164,436801.8%
2023-034,5264,3951312.9%
2023-024,4934,3401533.4%
2023-014,4644,3021623.6%
2022-124,5534,4251282.8%
2022-114,5234,3931302.9%
2022-104,5304,4071232.7%
2022-094,3994,2861132.6%
2022-084,3804,2431373.1%
2022-074,4824,3521302.9%
2022-064,5714,4411302.8%
2022-054,5164,4101062.3%
2022-044,4964,398982.2%
2022-034,5544,4061483.2%
2022-024,5564,3901663.6%
2022-014,5064,3181884.2%
2021-124,4724,3371353.0%
2021-114,4954,3631322.9%
2021-104,4594,3311282.9%
2021-094,4464,3211252.8%
2021-084,3924,2331593.6%
2021-074,5184,3381804.0%
2021-064,6464,4372094.5%
2021-054,5224,3231994.4%
2021-044,4824,2841984.4%
2021-034,5074,2842234.9%
2021-024,5434,3062375.2%
2021-014,5784,3292495.4%
2020-124,5914,4161753.8%
2020-114,5074,3561513.4%
2020-104,4594,3491102.5%
2020-094,3684,2281403.2%
2020-084,3074,1431643.8%
2020-074,3214,1072145.0%
2020-064,4114,1752365.4%
2020-054,3073,9913167.3%
2020-044,5094,02648310.7%
2020-034,5234,3471763.9%
2020-024,6404,4961443.1%
2020-014,6494,4691803.9%
2019-124,6314,5031282.8%
2019-114,6114,5031082.3%
2019-104,6064,5021042.3%
2019-094,5764,4711052.3%
2019-084,5534,4201332.9%
2019-074,6074,4561513.3%
2019-064,6834,5421413.0%
2019-054,5964,4921042.3%
2019-044,5274,4231042.3%
2019-034,5924,4381543.4%
2019-024,6904,5351553.3%
2019-014,6384,4541844.0%
2018-124,6314,4981332.9%
2018-114,6214,528932.0%
2018-104,5804,497831.8%
2018-094,6014,512891.9%
2018-084,5754,477982.1%
2018-074,7194,5961232.6%
2018-064,7384,6211172.5%
2018-054,6214,5191022.2%
2018-044,5444,4251192.6%
2018-034,5394,3811583.5%
2018-024,5924,4071854.0%
2018-014,5744,3542204.8%

BEA Personal Income

2024$508.3M8,429$60K
2023$518.4M8,503$61K
2022$519.8M8,515$61K
2021$496.0M8,595$58K
2020$417.5M8,742$48K
2019$399.1M8,774$45K
2018$383.1M8,781$44K
2017$365.6M8,837$41K
2016$379.2M8,879$43K
2015$391.8M8,948$44K
2014$348.6M8,966$39K
2013$365.7M9,082$40K
2012$358.5M9,126$39K
2011$370.2M9,258$40K
2010$338.1M9,253$37K
2009$349.0M9,247$38K
2008$338.0M9,350$36K
2007$293.0M9,423$31K
2006$256.6M9,479$27K
2005$267.0M9,566$28K
2004$280.6M9,681$29K
2003$260.3M9,819$27K
2002$254.0M9,791$26K
2001$252.6M9,860$26K
2000$248.1M10,009$25K
1999$231.5M10,056$23K
1998$220.7M10,047$22K
1997$223.6M10,121$22K
1996$216.0M10,069$21K
1995$180.8M10,059$18K
1994$190.2M10,092$19K
1993$164.2M10,070$16K
1992$174.9M10,045$17K
1991$15K

NFIP FLOOD CLAIMS

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

FEMA NFIP redacted claims (nfip_claim, county_code)

2024-06-24$36K$36K$0Yes
2024-06-24$27K$26K$883.15No
2024-06-24$7K$7K$0Yes
2024-06-24$31K$31K$447.55Yes
2024-06-24$8K$8K$0No
2024-06-14$2K$2K$0Yes
2019-09-16$14K$14K$0Yes
2019-09-16$18K$18K$0Yes
2019-06-01$13K$13K$0Yes
2019-05-31$13K$6K$7KYes
2019-03-16$52K$47K$5KYes
2012-04-14$0Yes
2011-07-10$0Yes
2011-07-03$0Yes
2011-07-02$0Yes
2011-06-25$30K$29K$1KYes
2011-06-15$27K$27K$0No
2011-06-15$107K$101K$6KNo
2011-06-15$45K$45K$0No
2011-06-14$0Yes
2011-06-12$0Yes
2011-06-11$0$1K$0Yes
2011-06-10$82K$81K$1KYes
2011-06-10$76K$75K$1KYes
2011-06-09$0Yes
2007-05-06$0$102K$0Yes
2007-05-05$9K$9K$0Yes
1996-07-27$0Yes
1996-07-17$2K$2K$0No
1993-07-09$3K$3K$0No

ALSO CHECKED

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

Go deeper

EVERY HMDA RECORD IN MONONA COUNTYOpens the loan explorer already filtered to county FIPS 19133.

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