How many homes in Green Tree, PA are overcrowded?

Name: Crowding and facilities in Green Tree, PA, 2020–2024
Creator: US Census Bureau
License: https://www.census.gov/data/developers/about/terms-of-service.html

1.3% (±2.0 points) of occupied homes in Green Tree, PA have more than one occupant per room (2020–2024 American Community Survey).

1.3% have more than 1.5.

0.0% lack complete plumbing.

0.0% lack a complete kitchen.

Figures last updated on November 12, 2026.

More than 1 per room: 1.3% (±2.0 points)
Lacking plumbing: 0.0%
Lacking a kitchen: 0.0%

Crowding and facilities in Green Tree

Share of occupied homes, estimate (90% margin of error)
	Green Tree	Allegheny County	Pennsylvania	United States
More than 1 person per room	1.3% (±2.0 points)	1.0% (±0.1 points)	1.6% (±0.1 points)	3.4%
More than 1.5 people per room	1.3% (±1.5 points)	0.4% (±0.1 points)	0.6% (±0.1 points)	1.2%
Lacking complete plumbing	0.0% (±1.3 points)	0.3% (±0.1 points)	0.4% (±0.1 points)	0.4%
Lacking a complete kitchen	0.0% (±1.3 points)	0.8% (±0.1 points)	0.8% (±0.1 points)	0.8%

A room is any whole room other than a bathroom, hall or porch; more than one person per room is the Census Bureau’s usual measure of crowding.

Complete plumbing means hot and cold running water and a bath or shower; a complete kitchen means a sink with a faucet, a stove or range and a refrigerator.

In Green Tree, the share of crowded homes is not measurably different from Allegheny County (1.0%).

It is not measurably different from Pennsylvania (1.6%).

It is lower than the national figure (3.4%).

Crowded homes in places near Green Tree

Nearest places with a published estimate, compared with Green Tree
Place	Distance	Crowded homes	Compared with this place
Green Tree	—	1.3% (±2.0 points)	—
Crafton	1.4 mi	0.0% (±1.6 points)	Not measurably different
Carnegie	1.8 mi	2.3% (±2.5 points)	Not measurably different
Dormont	1.8 mi	0.0% (±1.1 points)	Not measurably different
Rosslyn Farms	1.8 mi	0.0% (±16.0 points)	Not measurably different
Thornburg	2.0 mi	0.6% (±18.4 points)	Not measurably different
Ingram	2.1 mi	0.0% (±3.0 points)	Not measurably different
Scott Township (Allegheny County)	2.4 mi	3.8% (±1.7 points)	Not measurably different
Glendale	2.4 mi	0.0% (±6.1 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.

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

Margins of error are at the 90% confidence level.

What you can do on Seayora in Green Tree

One account for renting, owning, managing and fixing homes, with these figures beside you.

Do repairs, renovations or maintenance?

Get found by owners and renters near Green Tree, and send estimates and invoices from your phone.

Join as a pro · Find a pro

Own or manage a rental?

List it, sign the lease and collect rent online, with the figures for Green Tree beside you.

Create a landlord account · See what landlords get

Looking for a place to rent?

Browse homes for rent near Green Tree, save the ones you like and apply online.

Browse rentals · Create a renter account

Questions about Green Tree

How many homes in Green Tree are overcrowded?

1.3% of occupied homes in Green Tree, PA have more than one person per room (2020–2024 American Community Survey).

How many homes in Green Tree lack plumbing or a kitchen?

0.0% lack complete plumbing facilities and 0.0% lack complete kitchen facilities.

Sources

Selected Housing Characteristics (DP04), 2020–2024 ACS 5-year estimates — Green Tree borough, Pennsylvania

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 Green Tree borough, Pennsylvania (place:31256, in state:42).

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_0078PE, DP04_0078PM, DP04_0079PE, DP04_0079PM, DP04_0073PE, DP04_0073PM, DP04_0074PE, DP04_0074PM

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.