What kinds of homes are in Cornell, WI?

Name: Types of homes in Cornell, WI, 2020–2024
Creator: US Census Bureau
License: https://www.census.gov/data/developers/about/terms-of-service.html

Cornell, WI has 643 (±61) homes (2020–2024 American Community Survey).

That is about 170 homes per square mile of land.

83.4% are detached single-family houses.

6.5% are in buildings of two to four units.

3.3% are in buildings of five or more units.

Figures last updated on November 12, 2026.

Housing units: 643 (±61)
Detached houses: 83.4%
2–4 unit buildings: 6.5%
5+ unit buildings: 3.3%

Homes in Cornell by building size

Housing units by units in structure, 2020–2024
Building type	Cornell	Chippewa County	Wisconsin	United States
Single-family, detached	83.4% (±4.8 points)	75.3%	66.2%	61.3%
Single-family, attached (townhouse, rowhouse)	2.5% (±2.1 points)	4.9%	4.3%	6.2%
2 units	3.1% (±2.6 points)	4.0%	5.9%	3.4%
3 or 4 units	3.4% (±2.0 points)	4.0%	3.5%	4.3%
5 to 9 units	1.4% (±1.0 points)	2.9%	4.9%	4.5%
10 to 19 units	1.9% (±2.7 points)	1.8%	3.7%	4.3%
20 or more units	0.0% (±3.4 points)	2.4%	8.4%	10.3%
Mobile home	4.4% (±2.6 points)	4.7%	3.1%	5.6%
Boat, RV, van, etc.	0.0% (±3.4 points)	0.0%	0.0%	0.1%

In Cornell, the share of homes in buildings of five or more units is not measurably different from Chippewa County (7.1%).

It is also lower than in Wisconsin (17.0%).

It is lower than the national figure (19.1%).

Homes in buildings of 5 or more units in places near Cornell

Nearest places with a published estimate, compared with Cornell
Place	Distance	Homes in buildings of 5 or more units	Compared with this place
Cornell	—	3.3% (±4.5 points)	—
Town of Estella	1.6 mi	0.0% (±18.2 points)	Not measurably different
Town of Lake Holcombe	6.0 mi	1.1% (±5.1 points)	Not measurably different
Town of Cleveland (Chippewa County)	6.1 mi	0.0% (±9.5 points)	Not measurably different
Town of Birch Creek	6.7 mi	0.0% (±8.3 points)	Not measurably different
Town of Arthur	7.2 mi	0.0% (±10.0 points)	Not measurably different
Town of Ruby	8.2 mi	0.0% (±11.3 points)	Not measurably different
Town of Colburn (Chippewa County)	9.0 mi	0.0% (±7.6 points)	Not measurably different
Town of Anson	11 mi	0.6% (±2.9 points)	Not measurably different

None of the nearby places differs measurably from this one on this figure.

Distance is measured in a straight line between the Census Bureau’s internal points for each place.

Homes in buildings of 5 or more units across Chippewa County, place by place

Rank	Place	Homes in buildings of 5 or more units
1	Stanley	23.8% (±11.5 points)
2	Chippewa Falls	20.2% (±4.5 points)
3	Cadott	13.8% (±5.1 points)
4	Bloomer	9.4% (±6.3 points)
5 (tie)	Lake Hallie	3.8% (±3.1 points)
5 (tie)	New Auburn	3.8% (±10.6 points)
7	Cornell	3.3% (±4.5 points)
8	Boyd	1.6% (±12.6 points)
9	Town of Lake Holcombe	1.1% (±5.1 points)
10	Town of Anson	0.6% (±2.9 points)
11	Town of Lafayette (Chippewa County)	0.5% (±1.4 points)
12	Town of Howard	0.2% (±7.4 points)
13	Town of Eagle Point	0.1% (±2.3 points)

Showing 13 of 31 places in Chippewa County, ranked from highest to lowest.

Survey years: 2020–2024 (American Community Survey 5-year estimates).

Margins of error are at the 90% confidence level.

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Questions about Cornell

How many homes are in Cornell?

Cornell, WI has an estimated 643 (±61) housing units, occupied and vacant (2020–2024 American Community Survey).

Are most homes in Cornell houses or apartments?

83.4% are detached houses and 2.5% attached houses, while 9.8% are in buildings of two or more units.

How many two-family and small multifamily homes are in Cornell?

6.5% of homes in Cornell are in buildings of two to four units, the small rental buildings that are often owner-occupied.

Sources

Selected Housing Characteristics (DP04), 2020–2024 ACS 5-year estimates — Cornell city, Wisconsin

To check these figures in the Census Bureau’s own API, request the variables below from the 2024 ACS 5-year data profile (acs/acs5/profile) for Cornell city, Wisconsin (place:17100, in state:55).

Each estimate (E or PE) has a margin of error beside it (M or PM).

The API needs a free key.

Request a Census API key.

DP04_0001E, DP04_0001M, DP04_0007PE, DP04_0007PM, DP04_0008PE, DP04_0008PM, DP04_0009PE, DP04_0009PM, DP04_0010PE, DP04_0010PM, DP04_0011PE, DP04_0011PM, DP04_0012PE, DP04_0012PM, DP04_0013PE, DP04_0013PM, DP04_0014PE, DP04_0014PM, DP04_0015PE, DP04_0015PM

This product uses the Census Bureau Data API but is not endorsed or certified by the Census Bureau.

Figures are published by the US Census Bureau, HUD, the Bureau of Labor Statistics and the FBI; Seayora reproduces them and does not adjust them, except where a sentence says it compares dollar figures after inflation. They describe the whole place, not any one building or street, and are not an appraisal, a rent determination, a tax bill, a safety rating or legal advice.