Population 12,516 · Census ACS 2020–24
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Population and households in Brown Deer
Household size in Brown Deer
| Period | Brown Deer | Milwaukee area | Wisconsin | U.S. |
|---|---|---|---|---|
| 2006–10 | 2.40 | 2.51 | 2.45 | 2.68 |
| 2010–14 | 2.23 | 2.53 | 2.47 | 2.73 |
| 2015–19 | 2.29 | 2.51 | 2.43 | 2.71 |
| 2020–24 | 2.22 | 2.45 | 2.40 | 2.65 |
| Change | −0.18 | −0.06 | −0.06 | −0.03 |
Households in Brown Deer are small: just 2.22 people on average, compared with 2.65 nationally. That is typical of places where many people live alone or as couples, and fewer have children at home. Household size has dropped from 2.40 in 2006–10, a much bigger shift than nationally.
Household size: the average number of people living in each occupied home. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B25010).
Median age in Brown Deer
| Period | Brown Deer | Milwaukee area | Wisconsin | U.S. |
|---|---|---|---|---|
| 2006–10 | 41.5 | 37.8 | 38.8 | 37.7 |
| 2010–14 | 45.0 | 38.7 | 39.9 | 38.6 |
| 2015–19 | 43.1 | 39.6 | 40.9 | 39.6 |
| 2020–24 | 40.2 | 39.8 | 41.4 | 40.1 |
| Change | −1.3 | +1.9 | +2.6 | +2.3 |
At 40.2, the median age in Brown Deer is close to the national median of 40.1, so its age mix looks much like the country's. The median age has dropped from 41.5 in 2006–10, even as the national median rose. Residents skew youngest in the northeast and oldest in the southwest.
Median age: the age that splits residents into two equal halves. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B01002).
Single-parent households in Brown Deer
| Period | Brown Deer | Milwaukee area | Wisconsin | U.S. |
|---|---|---|---|---|
| 2006–10 | 8.7% | 13.0% | 10.4% | 12.3% |
| 2010–14 | 6.3% | 12.8% | 10.5% | 12.3% |
| 2015–19 | 8.7% | 12.2% | 10.0% | 11.6% |
| 2020–24 | 13.0% | 12.2% | 9.8% | 11.6% |
| Change | +4.3 pts | −0.8 pts | −0.6 pts | −0.6 pts |
Single parents head about one in eight households in Brown Deer (13.0%), a bit above the national share of 11.6%. The single-parent share is up 4.3 points from 2006–10, even as the national share fell. Of the 200 Wisconsin cities with 5,000+ people, only six have a higher share of single-parent households.
Single-parent households: households where one adult with no spouse present lives with children under 18. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B11003).
Housing in Brown Deer
Renters in Brown Deer
| Period | Brown Deer | Milwaukee area | Wisconsin | U.S. |
|---|---|---|---|---|
| 2006–10 | 32.1% | 37.2% | 30.5% | 33.3% |
| 2010–14 | 33.6% | 39.1% | 32.3% | 35.6% |
| 2015–19 | 35.5% | 39.9% | 33.0% | 36.0% |
| 2020–24 | 34.8% | 39.6% | 32.2% | 34.8% |
| Change | +2.7 pts | +2.4 pts | +1.6 pts | +1.5 pts |
Just over a third of households in Brown Deer rent their homes (34.8%), the same as the national share. Renters make up a smaller share here than in the wider Milwaukee area (39.6%). About three in ten owners (30.4%) have paid off their mortgages, below the national share of 39.8%. The renter share has risen 2.7 points since 2006–10, in line with the national trend.
Renters: occupied homes that are rented rather than owned. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B25003).
Vacant homes in Brown Deer
| Period | Brown Deer | Milwaukee area | Wisconsin | U.S. |
|---|---|---|---|---|
| 2006–10 | 7.8% | 8.4% | 10.5% | 11.4% |
| 2010–14 | 5.8% | 8.1% | 10.6% | 11.4% |
| 2015–19 | 8.9% | 7.8% | 10.1% | 11.1% |
| 2020–24 | 7.0% | 7.2% | 9.2% | 9.6% |
| Change | −0.8 pts | −1.2 pts | −1.3 pts | −1.8 pts |
Fewer homes sit empty in Brown Deer than nationally: 7.0%, against 9.6% for the U.S. The Milwaukee area as a whole looks much the same. Since 2006–10, vacancy has edged down 0.8 points, in line with the national trend.
Vacant homes: homes with no one living in them, including vacation homes and homes for sale or rent. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B25002).
Age of homes in Brown Deer
| Period | Brown Deer | Milwaukee area | Wisconsin | U.S. |
|---|---|---|---|---|
| 2006–10 | 1967 | 1964 | 1970 | 1974 |
| 2010–14 | 1966 | 1965 | 1971 | 1975 |
| 2015–19 | 1970 | 1966 | 1972 | 1977 |
| 2020–24 | 1972 | 1968 | 1974 | 1980 |
| Change | +5 | +4 | +5 | +6 |
Housing in Brown Deer leans older: the median home dates to 1972, against 1980 nationally. Still, homes here are newer than in the wider Milwaukee area, where the median home dates to 1968. The median year built has moved up from 1967 in 2006–10, a sign of steady new building. The newest homes are mostly in the northwest, the oldest in the southeast.
Age of homes: the year that splits the housing stock into older and newer halves. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B25035).
Rent in Brown Deer
| Period | Brown Deer | Milwaukee area | Wisconsin | U.S. |
|---|---|---|---|---|
| 2006–10 | $855 | $849 | $758 | $965 |
| 2010–14 | $896 | $928 | $821 | $1,040 |
| 2015–19 | $984 | $1,022 | $904 | $1,213 |
| 2020–24 | $1,301 | $1,290 | $1,139 | $1,571 |
| Change | +$446 | +$441 | +$380 | +$606 |
A typical rental in Brown Deer costs $1,301 a month with utilities, below the national median of $1,571. Rents are up $446 a month from 2006–10, a 52% rise, a slower climb than the nation's. Rent takes 31.9% of the typical renter's income, just over the 30% mark often used to define affordable rent. Renters on a budget will find the lowest rents in the southeast; the highest are in the north.
Rent: monthly rent plus the utilities renters pay themselves. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B25064).
Education in Brown Deer
Bachelor's degrees in Brown Deer
| Period | Brown Deer | Milwaukee area | Wisconsin | U.S. |
|---|---|---|---|---|
| 2006–10 | 38.2% | 31.0% | 26.5% | 28.4% |
| 2010–14 | 39.0% | 32.9% | 28.0% | 29.6% |
| 2015–19 | 34.0% | 35.4% | 30.4% | 32.1% |
| 2020–24 | 42.0% | 39.2% | 33.6% | 35.6% |
| Change | +3.8 pts | +8.1 pts | +7.0 pts | +7.2 pts |
College degrees are a bit more common in Brown Deer than nationally: 42.0% of adults 25 and older have a bachelor's or higher, against 35.6%. The share with a degree is up 3.8 points from 2006–10, in line with the national trend. College graduates are most concentrated in the northeast and least in the southeast.
Bachelor's degrees: adults 25 and older with a bachelor's degree or higher. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B15003).
High school graduates in Brown Deer
| Period | Brown Deer | Milwaukee area | Wisconsin | U.S. |
|---|---|---|---|---|
| 2006–10 | 93.3% | 88.5% | 89.5% | 84.9% |
| 2010–14 | 94.6% | 89.5% | 90.7% | 86.1% |
| 2015–19 | 95.2% | 91.0% | 92.1% | 87.7% |
| 2020–24 | 93.6% | 92.2% | 93.3% | 89.3% |
| Change | +0.3 pts | +3.7 pts | +3.8 pts | +4.3 pts |
High school completion in Brown Deer is above the national rate: 93.6% of adults have a diploma or equivalent, against 89.3%. The picture is much the same across the Milwaukee area. Compared with other Wisconsin cities, though, Brown Deer has a lower share of high school graduates than most.
High school graduates: adults 25 and older with a high school diploma, GED or more. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B15003).
Jobs in Brown Deer
| Period | Brown Deer | Milwaukee area | Wisconsin | U.S. |
|---|---|---|---|---|
| 2006–10 | 6.4% | 7.7% | 6.7% | 8.1% |
| 2010–14 | 7.4% | 8.7% | 7.3% | 9.4% |
| 2015–19 | 2.8% | 4.5% | 3.7% | 5.6% |
| 2020–24 | 4.6% | 4.0% | 3.3% | 5.4% |
| Change | −1.8 pts | −3.7 pts | −3.4 pts | −2.7 pts |
Jobs have been a little easier to find in Brown Deer than nationally: unemployment was 4.6%, against 5.4%. Among the 200 Wisconsin cities with 5,000+ people, though, only 17 have higher unemployment. Since 2006–10, unemployment has fallen 1.8 points, as it has nationally.
Unemployment: people looking for work as a share of everyone working or looking. Source: BestNeighborhood calculations from U.S. Census Bureau ACS 5-year block-group estimates (table B23025).
Brown Deer compared with nearby cities
| City | Household size | Median age | Single parents | Renters | Vacant homes | Median year built | Median rent | Bachelor's degree | High school diploma | Unemployment |
|---|---|---|---|---|---|---|---|---|---|---|
| Brown Deer | 2.22 | 40.2 | 13.0% | 34.8% | 7.0% | 1972 | $1,301 | 42.0% | 93.6% | 4.6% |
| River Hills | 2.77 | 47.6 | 3.6% | 10.3% | 7.4% | 1966 | $1,958 | 74.4% | 97.8% | 1.9% |
| Mequon | 2.57 | 46.6 | 7.1% | 13.8% | 8.0% | 1983 | $2,572 | 69.2% | 98.8% | 2.5% |
| Bayside | 2.56 | 45.5 | 4.2% | 14.5% | 8.5% | 1968 | $1,687 | 72.3% | 97.0% | 3.0% |
| Glendale | 2.19 | 43.5 | 9.5% | 30.5% | 7.3% | 1965 | $1,316 | 57.7% | 95.6% | 2.9% |
| Fox Point | 2.57 | 44.3 | 3.6% | 25.1% | 5.2% | 1955 | $1,811 | 72.8% | 96.6% | 0.9% |
| Thiensville | 2.21 | 48.3 | 11.0% | 29.4% | 3.5% | 1968 | $1,394 | 59.2% | 97.4% | 0.5% |
| Whitefish Bay | 2.77 | 39.2 | 5.2% | 17.8% | 3.7% | 1944 | $1,332 | 81.6% | 98.9% | 2.5% |
| Butler | 2.49 | 45.3 | 5.3% | 48.2% | 7.3% | 1962 | $1,071 | 24.7% | 93.7% | 3.4% |
| Menomonee Falls | 2.47 | 42.9 | 6.1% | 26.0% | 6.8% | 1983 | $1,539 | 48.5% | 95.5% | 2.0% |
| Shorewood | 2.10 | 40.0 | 6.0% | 54.5% | 5.0% | 1945 | $1,364 | 74.9% | 97.7% | 3.1% |
All figures 2020–24.
Cities with similar populations: Marshfield, MO · Oxford, GA · Orono, ME · Oakland, NJ · Norwich, NY · North Merrick, NY · North Branch, MN · North Bellport, NY · Medfield, MA · Mays Chapel, MD
About these numbers
Every figure on this page is a BestNeighborhood calculation from the Census Bureau's American Community Survey (ACS), built up from the Census block groups that make up Brown Deer. Each ACS 5-year release pools five years of responses; this page shows the last 15 releases, 2006–10 through 2020–24. Neighboring releases share four of their five years, so they move gradually and small changes between them are within the survey's margin of error; in small places the lines can jump from one release to the next for the same reason. The maps show the same measures for each neighborhood, ranked against the whole country.
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