What kinds of homes are in Toronto, OH?

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

Toronto, OH has 2,769 (±204) homes (2020–2024 American Community Survey).

That is about 1,327 homes per square mile of land.

68.7% are detached single-family houses.

4.7% are in buildings of two to four units.

15.9% are in buildings of five or more units.

Figures last updated on November 12, 2026.

Housing units: 2,769 (±204)
Detached houses: 68.7%
2–4 unit buildings: 4.7%
5+ unit buildings: 15.9%

Homes in Toronto by building size

Housing units by units in structure, 2020–2024
Building type	Toronto	Jefferson County	Ohio	United States
Single-family, detached	68.7% (±4.7 points)	78.0%	68.8%	61.3%
Single-family, attached (townhouse, rowhouse)	3.1% (±2.1 points)	1.3%	4.9%	6.2%
2 units	1.7% (±2.2 points)	3.3%	3.6%	3.4%
3 or 4 units	3.0% (±2.1 points)	3.1%	4.3%	4.3%
5 to 9 units	7.8% (±3.4 points)	2.9%	4.6%	4.5%
10 to 19 units	3.3% (±2.3 points)	2.1%	3.9%	4.3%
20 or more units	4.8% (±3.0 points)	3.4%	6.5%	10.3%
Mobile home	7.6% (±3.1 points)	5.9%	3.4%	5.6%
Boat, RV, van, etc.	0.0% (±1.3 points)	0.0%	0.1%	0.1%

In Toronto, the share of homes in buildings of five or more units is higher than in Jefferson County (8.4%).

It is not measurably different from Ohio (15.0%).

It is not measurably different from the national figure (19.1%).

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

Nearest places with a published estimate, compared with Toronto
Place	Distance	Homes in buildings of 5 or more units	Compared with this place
Toronto	—	15.9% (±5.1 points)	—
Empire	3.8 mi	0.0% (±45.0 points)	Not measurably different
Weirton	4.3 mi	9.1% (±2.1 points)	Lower
New Cumberland	4.8 mi	27.3% (±12.4 points)	Not measurably different
Stratton	4.8 mi	0.0% (±41.2 points)	Not measurably different
Knox Township (Jefferson County)	4.9 mi	12.3% (±5.5 points)	Not measurably different
Island Creek Township	5.9 mi	4.9% (±2.3 points)	Lower
Steubenville	6.8 mi	16.8% (±3.0 points)	Not measurably different
Wintersville	7.6 mi	16.8% (±9.2 points)	Not measurably different

Nearby places with a measurably lower figure: Weirton, WV (9.1%), Island Creek Township, OH (4.9%).

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 Jefferson County, place by place

Rank	Place	Homes in buildings of 5 or more units
1 (tie)	Steubenville	16.8% (±3.0 points)
1 (tie)	Wintersville	16.8% (±9.2 points)
3	Toronto	15.9% (±5.1 points)
4	Knox Township (Jefferson County)	12.3% (±5.5 points)
5	Mingo Junction	9.1% (±6.4 points)
6	Cross Creek Township	8.8% (±4.8 points)
7	Yorkville	8.5% (±9.4 points)
8	Steubenville Township	7.4% (±5.2 points)
9	Tiltonsville	6.4% (±4.4 points)

Showing 9 of 33 places in Jefferson 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 Toronto

How many homes are in Toronto?

Toronto, OH has an estimated 2,769 (±204) housing units, occupied and vacant (2020–2024 American Community Survey).

Are most homes in Toronto houses or apartments?

68.7% are detached houses and 3.1% attached houses, while 20.6% are in buildings of two or more units.

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

4.7% of homes in Toronto 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 — Toronto city, Ohio

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 Toronto city, Ohio (place:77112, in state:39).

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.