Population 14,287 · Census ACS 2020–24
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Population and households in Westphalia
Household size in Westphalia
| Period | Westphalia | Washington area | Maryland | U.S. |
|---|---|---|---|---|
| 2006–10 | 2.71 | 2.73 | 2.68 | 2.68 |
| 2010–14 | 2.57 | 2.82 | 2.73 | 2.73 |
| 2015–19 | 2.86 | 2.86 | 2.74 | 2.71 |
| 2020–24 | 2.69 | 2.77 | 2.68 | 2.65 |
| Change | −0.02 | +0.04 | +0.01 | −0.03 |
At 2.69 people per household, Westphalia sits close to the national average of 2.65. The typical household here is smaller than in the Washington area as a whole, where it has 2.77 people.
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 Westphalia
| Period | Westphalia | Washington area | Maryland | U.S. |
|---|---|---|---|---|
| 2006–10 | 39.1 | 37.0 | 38.5 | 37.7 |
| 2010–14 | 39.2 | 37.6 | 39.3 | 38.6 |
| 2015–19 | 38.6 | 38.5 | 40.2 | 39.6 |
| 2020–24 | 40.3 | 39.2 | 40.6 | 40.1 |
| Change | +1.2 | +2.2 | +2.1 | +2.3 |
Half of the people in Westphalia are younger than 40.3 and half are older, close to the national median of 40.1. The median age has climbed from 39.1 in 2006–10, as it has nationally. Residents skew youngest in the northwest and oldest in the southeast.
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 Westphalia
| Period | Westphalia | Washington area | Maryland | U.S. |
|---|---|---|---|---|
| 2006–10 | 22.3% | 11.3% | 12.5% | 12.3% |
| 2010–14 | 14.6% | 11.3% | 12.6% | 12.3% |
| 2015–19 | 16.3% | 10.4% | 11.7% | 11.6% |
| 2020–24 | 12.3% | 10.4% | 11.7% | 11.6% |
| Change | −9.9 pts | −0.9 pts | −0.9 pts | −0.6 pts |
Single-parent households are about as common in Westphalia as they are nationally: 12.3%, against 11.6%. Single parents are more common here than in the Washington area overall (10.4%). Since 2006–10, the single-parent share has fallen 9.9 points, a much bigger shift than nationally.
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 Westphalia
Renters in Westphalia
| Period | Westphalia | Washington area | Maryland | U.S. |
|---|---|---|---|---|
| 2006–10 | 5.0% | 34.0% | 31.0% | 33.3% |
| 2010–14 | 6.7% | 36.6% | 32.9% | 35.6% |
| 2015–19 | 7.8% | 36.8% | 33.1% | 36.0% |
| 2020–24 | 9.4% | 36.3% | 32.4% | 34.8% |
| Change | +4.4 pts | +2.3 pts | +1.4 pts | +1.5 pts |
Westphalia is overwhelmingly a place of homeowners: only 9.4% of households rent, far below the national share of 34.8%. Owner-heavy areas like this tend to see less turnover. Among homeowners, 14.7% have no mortgage at all, well below the national share of 39.8%. Since 2006–10, the renter share has risen 4.4 points, mirroring the country.
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 Westphalia
| Period | Westphalia | Washington area | Maryland | U.S. |
|---|---|---|---|---|
| 2006–10 | 7.5% | 8.7% | 9.0% | 11.4% |
| 2010–14 | 5.6% | 7.3% | 8.9% | 11.4% |
| 2015–19 | 4.2% | 6.6% | 8.9% | 11.1% |
| 2020–24 | 2.4% | 5.9% | 7.1% | 9.6% |
| Change | −5.1 pts | −2.8 pts | −1.9 pts | −1.8 pts |
Only 2.4% of homes in Westphalia are vacant, far below the national rate of 9.6%, which usually means strong demand for housing. Vacancy is down 5.1 points from 2006–10, as it has nationally. Only 13 of the 245 Maryland cities with 5,000+ people have a lower vacancy rate.
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 Westphalia
| Period | Westphalia | Washington area | Maryland | U.S. |
|---|---|---|---|---|
| 2006–10 | 1980 | 1977 | 1974 | 1974 |
| 2010–14 | 1990 | 1978 | 1975 | 1975 |
| 2015–19 | 1998 | 1979 | 1976 | 1977 |
| 2020–24 | 2008 | 1982 | 1978 | 1980 |
| Change | +28 | +6 | +4 | +6 |
Westphalia has newer housing than the country as a whole: the median home was built in 2008, versus 1980 nationally. The median year built has moved up from 1980 in 2006–10, a sign of steady new building. Newer construction is concentrated in the northwest, while the northeast has the oldest housing. Only three of the 245 Maryland cities with 5,000+ people have newer homes.
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 Westphalia
| Period | Westphalia | Washington area | Maryland | U.S. |
|---|---|---|---|---|
| 2006–10 | $1,878 | $1,470 | $1,249 | $965 |
| 2010–14 | $1,797 | $1,583 | $1,363 | $1,040 |
| 2015–19 | $2,178 | $1,907 | $1,576 | $1,213 |
| 2020–24 | $2,338 | $2,236 | $1,869 | $1,571 |
| Change | +$460 | +$766 | +$620 | +$606 |
The median renter in Westphalia pays $2,338 a month for rent and utilities, well above the national median of $1,571. Rents are up $460 a month from 2006–10, a 25% rise, a slower climb than the nation's. The typical renter here spends 26.7% of household income on rent, comfortably under the 30% mark often used to define affordable rent, and a smaller share than renters pay nationally. Renters on a budget will find the lowest rents in the northwest; the highest are in the northeast.
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 Westphalia
Bachelor's degrees in Westphalia
| Period | Westphalia | Washington area | Maryland | U.S. |
|---|---|---|---|---|
| 2006–10 | 31.5% | 46.6% | 36.3% | 28.4% |
| 2010–14 | 32.6% | 48.2% | 37.7% | 29.6% |
| 2015–19 | 46.4% | 51.0% | 40.5% | 32.1% |
| 2020–24 | 53.6% | 53.9% | 43.4% | 35.6% |
| Change | +22.1 pts | +7.3 pts | +7.1 pts | +7.2 pts |
Westphalia is highly educated: more than half of adults 25 and older (53.6%) hold at least a bachelor's degree, far above the national share of 35.6%. The Washington area as a whole looks much the same. The share with a degree is up 22.1 points from 2006–10, a much bigger shift than nationally.
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 Westphalia
| Period | Westphalia | Washington area | Maryland | U.S. |
|---|---|---|---|---|
| 2006–10 | 91.6% | 89.4% | 88.0% | 84.9% |
| 2010–14 | 94.0% | 90.2% | 89.1% | 86.1% |
| 2015–19 | 94.3% | 90.8% | 90.2% | 87.7% |
| 2020–24 | 94.1% | 91.2% | 90.9% | 89.3% |
| Change | +2.5 pts | +1.7 pts | +2.9 pts | +4.3 pts |
High school completion in Westphalia is above the national rate: 94.1% of adults have a diploma, against 89.3%. Since 2006–10, the share with a diploma has risen 2.5 points, as it has nationally.
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 Westphalia
| Period | Westphalia | Washington area | Maryland | U.S. |
|---|---|---|---|---|
| 2006–10 | 4.9% | 5.9% | 6.5% | 8.1% |
| 2010–14 | 10.2% | 6.9% | 8.1% | 9.4% |
| 2015–19 | 3.4% | 4.7% | 5.1% | 5.6% |
| 2020–24 | 4.6% | 4.8% | 5.0% | 5.4% |
| Change | −0.3 pts | −1.1 pts | −1.5 pts | −2.7 pts |
Unemployment in Westphalia runs below the national rate: 4.6% of the labor force was out of work and looking, against 5.4% nationally. That is in line with the rest of the Washington area. Because the Census pools five years of responses (2020–24), these rates smooth over short swings and lag the current job market.
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).
Westphalia 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Westphalia | 2.69 | 40.3 | 12.3% | 9.4% | 2.4% | 2008 | $2,338 | 53.6% | 94.1% | 4.6% |
| Upper Marlboro | 2.85 | 46.0 | 11.7% | 8.8% | 4.1% | 1987 | $2,230 | 42.0% | 91.7% | 6.4% |
| Forestville | 2.45 | 41.2 | 16.8% | 34.2% | 11.3% | 1970 | $2,030 | 23.9% | 88.2% | 4.2% |
| Marlboro Village | 2.47 | 42.1 | 12.6% | 24.1% | 5.0% | 1993 | $1,762 | 43.1% | 94.2% | 4.5% |
| Largo | 2.42 | 40.9 | 18.2% | 36.8% | 6.0% | 1987 | $2,143 | 44.6% | 93.8% | 6.4% |
| Morningside | 2.39 | 44.0 | 17.3% | 22.4% | 6.6% | 1965 | $2,183 | 28.0% | 89.2% | 3.6% |
| Rosaryville | 2.99 | 44.9 | 9.0% | 8.5% | 4.3% | 1994 | $2,094 | 37.1% | 91.5% | 5.8% |
| Brock Hall | 2.98 | 42.7 | 11.2% | 5.1% | 2.5% | 2005 | $2,254 | 58.3% | 94.9% | 5.4% |
| District Heights | 2.37 | 39.7 | 15.5% | 52.9% | 8.3% | 1971 | $1,770 | 26.6% | 91.5% | 6.9% |
| Kettering | 2.47 | 47.7 | 17.0% | 14.4% | 1.9% | 1991 | $2,292 | 41.9% | 95.8% | 7.3% |
| Andrews AFB | 3.19 | 24.6 | 7.7% | 98.9% | 13.5% | 1990 | $2,731 | 35.5% | 94.6% | 3.6% |
All figures 2020–24.
Cities with similar populations: Osceola, IN · Oakland, NJ · Oatfield, OR · Ocean Pines, MD · Ogdensburg, NY · Oneida, NY · Oneonta, AL · Orono, ME · Orrville, OH · Orting, WA
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 Westphalia. 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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