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COUNTY

Iowa County

Wisconsin · 23,951 residents (2025 est.) · 763 sq mi
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The short version

Iowa County is a county of 23,867 people in Wisconsin. Few US counties rank higher on income. The median age is 44.0, about 5 years above the US median. 2% of residents were born outside the United States. Owners hold 77% of the housing stock. Density works out to 31 people per square mile.

At a glance
Average income
near the US median
US median: $82,259
Older
median age 44.0
US median: 38.9
Less educated
28% hold a bachelor's degree
US average: 36%
Less affordable
home values up 46%, inflation adjusted
US median home: $376,019
Section 01

Population & growth

Total population
23,867
+5%since 2000
from 22,780 in 2000
23,951 in 2025 (Census Bureau estimate)
1990 – 2025
Population density
31 / sq mi
+2%since 2009
from 31 / sq mi in 2009
US average: 281
Median age
44.0
+19%since 2000
from 37.1 in 2000
US average: 38.9
Land area
763 sq mi
Population, 1990 – 2024
20K21K22K23K24K19902000201020202024Iowa County
202424K
1990201020202024
Age distribution, 2024
Under 55.3%(1,264)
US avg: 5.6%
5 to 95.5%(1,322)
US avg: 6%
10 to 146.7%(1,602)
US avg: 6.4%
15 to 195.9%(1,412)
US avg: 6.6%
20 to 244.8%(1,147)
US avg: 6.5%
25 to 3410.9%(2,603)
US avg: 13.7%
35 to 4412.2%(2,905)
US avg: 13.2%
45 to 5412.6%(2,998)
US avg: 12.2%
55 to 6415.6%(3,725)
US avg: 12.7%
65 to 7413%(3,110)
US avg: 10.2%
75 to 845.5%(1,304)
US avg: 5.1%
85 and over2%(475)
US avg: 1.9%
BAR + DOT: THIS PLACE · TICK: US AVERAGE
Section 02

Income & economy

Median household income
$82,182
+6%inflation adjusted, since 2000
from $42,518 in 2000
US average: $82,259
1990 – 2024
Per capita income
$43,164
+121%since 2000
from $19,497 in 2000
US average: $44,673
Households earning $100K+
54.0%
+23.5 ptssince 2009
from 30.5% in 2009
US average: 53.3%
Poverty rate
7.6%
+0.3 ptssince 2000
from 7.3% in 2000
US average: 12.5%
Income inequality (Gini)
0.411
+9%since 2010
from 0.375 in 2010
US average: 0.476
Workforce by industry, 2024
Information14.5%
US avg: 10.8%
Retail trade14.2%
US avg: 9.9%
Wholesale trade9.2%
US avg: 6.9%
Agriculture, forestry, fishing7.5%
US avg: 1.6%
Construction6.9%
US avg: 1.2%
Other services4.9%
US avg: 6.7%
Finance & insurance4.8%
US avg: 5.9%
Professional, scientific, technical4.1%
US avg: 5.1%
Public administration3.4%
US avg: 4.8%
Transportation & warehousing2.5%
US avg: 2.2%
Arts, entertainment, food1.1%
US avg: 1.9%
Education & health services0.7%
US avg: 0.9%
Manufacturing0.6%
US avg: 0.4%
BAR + DOT: THIS PLACE · TICK: US AVERAGE
Section 03

Housing

Median home value
$265,000
+46%inflation adjusted, since 2000
from $99,700 in 2000
US average: $376,019
1990 – 2024
Median gross rent
$954
+4%inflation adjusted, since 2000
from $502 in 2000
US average: $1,442
Owner-occupied
77.4%
+1.5 ptssince 2000
from 75.9% in 2000
22.6% rent
Vacancy rate
8.9%
−0.6 ptssince 2009
from 9.5% in 2009
US average: 10.0%
Persons per household
2.33 people
−4%since 2009
from 2.43 people in 2009
US average: 2.54
Owner cost-burdened
19.6%
−10.6 ptssince 2009
from 30.3% in 2009
US average: 22.9%
Renter cost-burdened
32.7%
+2.6 ptssince 2009
from 30.1% in 2009
US average: 47.4%
Afford Score
3.2
+14%since 2009
from 2.8 in 2009
2009 – 2024
Years of local income it takes to buy a local home, on a scale of about 0 to 15. Lower is more affordable.
Gentrification Score
50
Our index, 0 to 100. Higher means faster recent growth in incomes, home values, and college degrees.
Section 04

Race & ethnicity

2000
White, non-Hispanic98.5%(22,428)
Black0.2%(36)
Hispanic / Latino0.3%(75)
Asian0.3%(78)
Other0%
2024
White, non-Hispanic92.4%(22,051)
Black0.8%(181)
Hispanic / Latino2.3%(545)
Asian0.9%(209)
Other3.7%(881)
Diversity Score
18
+180%since 2009
from 6 in 2009
2009 – 2024
Our index, 0 to 100. Higher means a more even mix of racial and ethnic groups.
Segregation Score
12
−32%since 2020
from 17 in 2020
Our index, 0 to 100. Higher means White and non-White residents are more separated across neighborhoods.
Section 04 · Origins

Detailed origins & ancestry

Hispanic origin
Mexican1.5%(350)
Spaniard0.2%(40)
Honduran0.2%(37)
Costa Rican0.1%(30)
Puerto Rican0.1%(22)
Chilean0%(11)
+ 2 more hispanic origin groups with data
Cuban0%(2)
Asian origin
Asian Indian0.4%(105)
Chinese0.1%(32)
Filipino0.1%(27)
Thai0.1%(18)
Hmong0.1%(12)
Korean0%(3)
Ancestry
German37.1%(8,853)
English15.4%(3,674)
Irish15%(3,578)
Norwegian10.8%(2,587)
Swiss3.1%(736)
American3%(708)
Czech2.4%(563)
French2.2%(531)
Italian2.2%(520)
Polish2.1%(500)
Scottish1.4%(346)
Swedish1.4%(330)
+ 31 more ancestry groups with data
Dutch0.9%(226)
Welsh0.8%(192)
Danish0.5%(117)
Scotch-Irish0.3%(66)
British0.2%(57)
Lithuanian0.2%(48)
Greek0.2%(47)
Russian0.2%(47)
Ukrainian0.2%(43)
Belgian0.1%(33)
Austrian0.1%(30)
Hungarian0.1%(28)
Brazilian0.1%(18)
Finnish0.1%(18)
Serbian0.1%(16)
Slovak0.1%(12)
Nigerian0%(10)
Latvian0%(7)
Slovene0%(7)
Arab0%(5)
Somali0%(1)
Section 05

Education

Bachelor's degree or higher
28.4%
+10.0 ptssince 2000
from 18.5% in 2000
US average: 35.6%
High school or higher
95.2%
+6.8 ptssince 2000
from 88.5% in 2000
US average: 89.6%
Graduate degree
9.2%
+3.9 ptssince 2000
from 5.3% in 2000
US average: 14.0%
Section 06

Commute & transportation

Average commute
27.2 min
+47%since 2000
from 18.5 min in 2000
US average: 26.5
Drive alone to work
73.4%
−1.4 ptssince 2009
from 74.8% in 2009
US average: 68.9%
Carpooled to work
7.2%
−4.1 ptssince 2009
from 11.3% in 2009
US average: 8.5%
Public transit
0.7%
+0.4 ptssince 2009
from 0.2% in 2009
US average: 3.2%
Worked from home
13.8%
+4.7 ptssince 2009
from 9.1% in 2009
US average: 15.0%
Walked to work
3.3%
−0.1 ptssince 2009
from 3.5% in 2009
US average: 2.4%
Biked to work
0.1%
−0.2 ptssince 2009
from 0.3% in 2009
US average: 0.4%
No vehicle available
4.3%
+0.6 ptssince 2009
from 3.7% in 2009
US average: 8.3%
Section 07

Work & employment

Unemployment rate
3.1%
−1.7 ptssince 2011
from 4.9% in 2011
US average: 5.2%
Labor force participation
67.9%
−4.7 ptssince 2011
from 72.6% in 2011
US average: 63.5%
Women 20-64 in the labor force
82.7%
−1.4 ptssince 2020
from 84.1% in 2020
US average: 74.6%
Self-employed
10.9%
+1.4 ptssince 2009
from 9.5% in 2009
US average: 13.1%
Management & professional
36.2%
+5.5 ptssince 2009
from 30.8% in 2009
US average: 42.5%
Section 08

People & community

Male
51.1%
+0.9 ptssince 2009
from 50.2% in 2009
Female
48.9%
−0.9 ptssince 2009
from 49.8% in 2009
Foreign born
1.6%
+0.4 ptssince 2009
from 1.2% in 2009
US average: 14.1%
Veterans
5.9%
−3.3 ptssince 2009
from 9.2% in 2009
US average: 6.2%
With a disability
12.1%
+1.6 ptssince 2012
from 10.5% in 2012
US average: 13.3%
Uninsured
3.4%
−4.8 ptssince 2013
from 8.2% in 2013
US average: 8.4%
Broadband at home
88.8%
+12.4 ptssince 2017
from 76.4% in 2017
US average: 91.0%
Computer in household
93.3%
+4.6 ptssince 2020
from 88.7% in 2020
US average: 95.5%
Same house as last year
91.8%
+2.1 ptssince 2020
from 89.7% in 2020
US average: 87.7%
English only at home
97.7%
+1.5 ptssince 2016
from 96.2% in 2016
US average: 77.7%
Spanish at home
1.2%
−0.5 ptssince 2016
from 1.7% in 2016
US average: 13.6%
Marital status
Men 15+
Never married31.2%(3,116)
Married55.2%(5,515)
Widowed3.2%(316)
Divorced10.4%(1,042)
Women 15+
Never married22.9%(2,222)
Married56.4%(5,468)
Widowed8.7%(844)
Divorced11.9%(1,156)
SHARE WITHIN EACH SEX · POPULATION 15 AND OVER · 2024
Section 09

Health coverage

Uninsured
3.4%
−4.8 ptssince 2013
from 8.2% in 2013
US average: 8.4%
Employer-based
62.8%
−0.3 ptssince 2020
from 63.1% in 2020
US average: 54.8%
Direct-purchase
19.5%
+0.7 ptssince 2020
from 18.8% in 2020
US average: 13.8%
Medicare
22.8%
+2.3 ptssince 2020
from 20.5% in 2020
US average: 18.4%
Medicaid
15.0%
+0.8 ptssince 2020
from 14.2% in 2020
US average: 20.9%
VA health care
2.5%
Unchangedsince 2020
from 2.5% in 2020
US average: 2.2%
Any private
79.5%
−0.9 ptssince 2020
from 80.4% in 2020
US average: 67.1%
Any public
35.4%
+3.8 ptssince 2020
from 31.6% in 2020
US average: 36.7%

Shares are "alone or in combination": a person with both Medicare and Medicaid counts in each, so categories overlap and do not sum to 100%.

Section 09 · Service history

Veterans

Veterans by period of service, 2024
Gulf War (2001 or later)10.6%(117)
US avg: 26.4%
Gulf War (1990s)21.2%(234)
US avg: 24.3%
Vietnam era42.8%(472)
US avg: 33.1%
Korean War4.4%(48)
US avg: 4.5%
World War II2.1%(23)
US avg: 1%

Share of the 1,102 veterans here. A veteran who served across eras counts in each, so shares can total more than 100%. Peacetime-only service is included in the total but not shown as an era.

BAR + DOT: THIS PLACE · TICK: US AVERAGE
Drill deeper

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Head to head

Compare Iowa County to nearby counties

IOWA COUNTY VS
Lafayette County
Income$76,462−7%
Home value$194,500−27%
Population17,478−27%
SEE FULL COMPARISON →
IOWA COUNTY VS
Grant County
Income$66,858−19%
Home value$200,700−24%
Population52,446+119%
SEE FULL COMPARISON →
IOWA COUNTY VS
Richland County
Income$66,420−19%
Home value$197,500−25%
Population17,036−29%
SEE FULL COMPARISON →
IOWA COUNTY VS
Sauk County
Income$79,541−3%
Home value$258,600−2%
Population66,652+178%
SEE FULL COMPARISON →
Frequently asked

How many people live in Iowa County, Wisconsin?

Iowa County, Wisconsin has about 23,867 residents according to the 2024 American Community Survey.

What is the median household income in Iowa County, Wisconsin?

The typical household in Iowa County, Wisconsin earns about $82,182 a year. Half of households make more than that, and half make less.

Is Iowa County, Wisconsin expensive?

In Iowa County, Wisconsin, the median home is worth about $265,000, and the typical rent is about $954 a month.

How educated are people in Iowa County, Wisconsin?

About 28.4% of adults age 25 and over in Iowa County, Wisconsin hold a bachelor's degree or higher.

What is the poverty rate in Iowa County, Wisconsin?

About 7.6% of people in Iowa County, Wisconsin live below the federal poverty line.

Has Iowa County, Wisconsin grown since 1990?

Yes, Iowa County, Wisconsin has grown since 1990. The population has added about 3,717 residents, a change of about 18 percent over that period.

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DATA: US CENSUS BUREAU ACS 5-YEAR + DECENNIAL CENSUS · UPDATED 2024

How we source and harmonize this data →