How long do people stay in their homes in Greenbelt, MD?

Name: How long people stay in Greenbelt, MD, 2020–2024
Creator: US Census Bureau
License: https://www.census.gov/data/developers/about/terms-of-service.html

32.0% (±5.4 points) of households in Greenbelt, MD moved into their current home in 2020 or later (2020–2024 American Community Survey).

13.5% have lived in it since before 2000.

Figures last updated on November 12, 2026.

Moved in 2020 or later: 32.0% (±5.4 points)
Since before 2000: 13.5%

When households in Greenbelt moved in

Occupied housing units by year the householder moved in, 2020–2024
Moved in	Greenbelt	Prince George's County	Maryland	United States
2023 or later	7.3% (±2.8 points)	4.2%	4.2%	4.6%
2020 to 2022	24.7% (±4.6 points)	18.8%	19.0%	20.2%
2010 to 2019	39.4% (±5.1 points)	39.2%	39.0%	39.6%
2000 to 2009	15.1% (±4.2 points)	17.8%	17.1%	16.4%
1990 to 1999	9.5% (±3.4 points)	10.5%	10.6%	9.6%
1989 or earlier	4.0% (±1.6 points)	9.4%	10.2%	9.5%

A high share of recent movers usually means more renting households and more turnover; a high share of long-time residents usually means more owners who have stayed.

In Greenbelt, the share of households that moved in since 2020 is higher than in Prince George's County (23.0%).

It is also higher than in Maryland (23.2%).

It is higher than the national figure (24.8%).

Households that moved in since 2020 in places near Greenbelt

Nearest places with a published estimate, compared with Greenbelt
Place	Distance	Households that moved in since 2020	Compared with this place
Greenbelt	—	32.0% (±5.4 points)	—
Berwyn Heights	1.5 mi	15.8% (±8.8 points)	Lower
Seabrook	2.0 mi	17.4% (±3.5 points)	Lower
New Carrollton	2.1 mi	19.7% (±6.9 points)	Lower
College Park	2.7 mi	52.2% (±5.0 points)	Higher
East Riverdale	2.8 mi	21.7% (±5.4 points)	Lower
Riverdale Park	3.0 mi	20.3% (±5.4 points)	Lower
Woodlawn (Prince George's County)	3.2 mi	17.3% (±6.2 points)	Lower
Lanham	3.3 mi	16.5% (±4.4 points)	Lower

Nearby places with a measurably lower figure: Berwyn Heights, MD (15.8%), Seabrook, MD (17.4%), New Carrollton, MD (19.7%).

Nearby places with a measurably higher figure: College Park, MD (52.2%).

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

Households that moved in since 2020 across Prince George's County, place by place

Rank	Place	Households that moved in since 2020
3	Brentwood	36.2% (±12.2 points)
4	Laurel	34.7% (±4.3 points)
5	Brandywine	33.4% (±7.2 points)
6	South Laurel	33.1% (±3.9 points)
7	Westphalia	32.2% (±6.7 points)
8	Hyattsville	32.1% (±4.7 points)
9	Greenbelt	32.0% (±5.4 points)
10	Largo	31.3% (±6.5 points)
11	Glassmanor	30.6% (±7.2 points)
12	National Harbor	29.3% (±11.2 points)
13	Adelphi	28.4% (±4.8 points)
14	Lake Arbor	27.4% (±6.2 points)
15	Upper Marlboro	27.3% (±14.8 points)

Showing 13 of 80 places in Prince George's 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 Greenbelt

How often do people move in Greenbelt?

32.0% of households in Greenbelt, MD moved into their home in 2020 or later (2020–2024 American Community Survey).

How many long-time residents does Greenbelt have?

13.5% of households in Greenbelt have lived in their home since 1999 or earlier.

Sources

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

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 Greenbelt city, Maryland (place:34775, in state:24).

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_0051PE, DP04_0051PM, DP04_0052PE, DP04_0052PM, DP04_0053PE, DP04_0053PM, DP04_0054PE, DP04_0054PM, DP04_0055PE, DP04_0055PM, DP04_0056PE, DP04_0056PM

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.