How long do people stay in their homes in Brown Deer, WI?

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

20.8% (±5.9 points) of households in Brown Deer, WI moved into their current home in 2020 or later (2020–2024 American Community Survey).

22.0% have lived in it since before 2000.

Figures last updated on November 12, 2026.

Moved in 2020 or later: 20.8% (±5.9 points)
Since before 2000: 22.0%

When households in Brown Deer moved in

Occupied housing units by year the householder moved in, 2020–2024
Moved in	Brown Deer	Milwaukee County	Wisconsin	United States
2023 or later	6.3% (±3.4 points)	5.1%	4.1%	4.6%
2020 to 2022	14.5% (±4.8 points)	22.4%	19.0%	20.2%
2010 to 2019	38.3% (±6.8 points)	41.3%	38.0%	39.6%
2000 to 2009	18.7% (±4.3 points)	13.3%	17.1%	16.4%
1990 to 1999	10.4% (±3.7 points)	8.7%	10.7%	9.6%
1989 or earlier	11.6% (±5.6 points)	9.2%	11.1%	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 Brown Deer, the share of households that moved in since 2020 is lower than in Milwaukee County (27.5%).

It is not measurably different from Wisconsin (23.1%).

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

Households that moved in since 2020 in places near Brown Deer

Nearest places with a published estimate, compared with Brown Deer
Place	Distance	Households that moved in since 2020	Compared with this place
Brown Deer	—	20.8% (±5.9 points)	—
River Hills	2.1 mi	12.8% (±6.1 points)	Not measurably different
Mequon	3.2 mi	17.6% (±2.7 points)	Not measurably different
Bayside	3.7 mi	13.9% (±5.5 points)	Not measurably different
Fox Point	3.9 mi	16.5% (±4.4 points)	Not measurably different
Glendale	4.1 mi	22.3% (±4.8 points)	Not measurably different
Thiensville	4.2 mi	23.9% (±7.6 points)	Not measurably different
Whitefish Bay	5.7 mi	16.4% (±2.9 points)	Not measurably different
Butler	6.7 mi	24.7% (±8.5 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.

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

Rank	Place	Households that moved in since 2020
7	Cudahy	23.5% (±4.6 points)
8	West Allis	22.9% (±1.9 points)
9	Hales Corners	22.7% (±5.6 points)
10	Glendale	22.3% (±4.8 points)
11	Greendale	21.5% (±3.9 points)
12	South Milwaukee	21.4% (±3.2 points)
13	Brown Deer	20.8% (±5.9 points)
14	St. Francis	19.7% (±5.6 points)
15	Franklin	18.7% (±2.6 points)
16	Fox Point	16.5% (±4.4 points)
17	Whitefish Bay	16.4% (±2.9 points)
18	Bayside	13.9% (±5.5 points)
19	River Hills	12.8% (±6.1 points)

Showing 13 of 19 places in Milwaukee 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 Brown Deer

How often do people move in Brown Deer?

20.8% of households in Brown Deer, WI moved into their home in 2020 or later (2020–2024 American Community Survey).

How many long-time residents does Brown Deer have?

22.0% of households in Brown Deer have lived in their home since 1999 or earlier.

Sources

Selected Housing Characteristics (DP04), 2020–2024 ACS 5-year estimates — Brown Deer village, 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 Brown Deer village, Wisconsin (place:10375, 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_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.