How long do people stay in their homes in Vienna, VA?

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

23.1% (±3.0 points) of households in Vienna, VA moved into their current home in 2020 or later (2020–2024 American Community Survey).

25.3% have lived in it since before 2000.

Figures last updated on November 12, 2026.

Moved in 2020 or later: 23.1% (±3.0 points)
Since before 2000: 25.3%

When households in Vienna moved in

Occupied housing units by year the householder moved in, 2020–2024
Moved in	Vienna	Fairfax County	Virginia	United States
2023 or later	1.5% (±0.8 points)	4.9%	4.7%	4.6%
2020 to 2022	21.6% (±2.9 points)	21.5%	21.0%	20.2%
2010 to 2019	32.2% (±3.6 points)	37.3%	38.5%	39.6%
2000 to 2009	19.5% (±3.4 points)	17.5%	16.6%	16.4%
1990 to 1999	12.8% (±2.6 points)	10.1%	9.5%	9.6%
1989 or earlier	12.5% (±2.4 points)	8.7%	9.6%	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 Vienna, the share of households that moved in since 2020 is lower than in Fairfax County (26.4%).

It is not measurably different from Virginia (25.7%).

It is not measurably different from the national figure (24.8%).

Households that moved in since 2020 in places near Vienna

Nearest places with a published estimate, compared with Vienna
Place	Distance	Households that moved in since 2020	Compared with this place
Vienna	—	23.1% (±3.0 points)	—
Dunn Loring	1.6 mi	10.0% (±3.3 points)	Lower
Merrifield	2.1 mi	44.3% (±5.2 points)	Higher
Tysons	2.3 mi	47.5% (±4.7 points)	Higher
Oakton	2.4 mi	28.2% (±3.3 points)	Higher
Wolf Trap	3.0 mi	13.6% (±2.9 points)	Lower
Idylwood	3.0 mi	33.5% (±5.6 points)	Higher
Mantua	3.2 mi	25.2% (±7.3 points)	Not measurably different
Pimmit Hills	3.3 mi	24.2% (±8.8 points)	Not measurably different

Nearby places with a measurably lower figure: Dunn Loring, VA (10.0%), Wolf Trap, VA (13.6%).

Nearby places with a measurably higher figure: Merrifield, VA (44.3%), Tysons, VA (47.5%), Oakton, VA (28.2%).

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

Households that moved in since 2020 across Fairfax County, place by place

Rank	Place	Households that moved in since 2020
26	Mantua	25.2% (±7.3 points)
27	Annandale	24.7% (±3.1 points)
28	Centreville	24.6% (±2.1 points)
29	Pimmit Hills	24.2% (±8.8 points)
30	Laurel Hill	23.8% (±6.0 points)
31	Lake Barcroft	23.4% (±3.5 points)
32	Vienna	23.1% (±3.0 points)
33	Mount Vernon	22.9% (±3.8 points)
34	Springfield	22.7% (±3.1 points)
35	Rose Hill	21.8% (±3.6 points)
36	Chantilly	21.4% (±3.2 points)
37	Mason Neck	21.0% (±7.0 points)
38	Woodlawn (Fairfax County)	20.8% (±4.4 points)

Showing 13 of 69 places in Fairfax 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 Vienna

How often do people move in Vienna?

23.1% of households in Vienna, VA moved into their home in 2020 or later (2020–2024 American Community Survey).

How many long-time residents does Vienna have?

25.3% of households in Vienna have lived in their home since 1999 or earlier.

Sources

Selected Housing Characteristics (DP04), 2020–2024 ACS 5-year estimates — Vienna town, Virginia

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 Vienna town, Virginia (place:81072, in state:51).

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.