Population 194 · Census ACS 2020–24
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Median age by neighborhoodHistory and comparison ↓︎
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Population and households in Short
Household size in Short
| Period | Short | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | 2.45 | 2.55 | 2.68 |
| 2010–14 | 2.74 | 2.60 | 2.73 |
| 2015–19 | 2.65 | 2.63 | 2.71 |
| 2020–24 | 2.81 | 2.58 | 2.65 |
| Change | +0.36 | +0.03 | −0.03 |
The typical household in Short holds 2.81 people, slightly more than the U.S. average of 2.65. Household size has climbed from 2.45 in 2006–10, but in a place this small, much of that may be survey noise rather than real change.
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 Short
| Period | Short | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | 45.9 | 37.4 | 37.7 |
| 2010–14 | 42.7 | 37.5 | 38.6 |
| 2015–19 | 45.9 | 37.9 | 39.6 |
| 2020–24 | 36.4 | 38.0 | 40.1 |
| Change | −9.4 | +0.6 | +2.3 |
Short is younger than the country as a whole: its median age is 36.4, against 40.1 nationally.
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 Short
| Period | Short | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | 10.1% | 11.9% | 12.3% |
| 2010–14 | 10.0% | 12.1% | 12.3% |
| 2015–19 | 8.7% | 12.1% | 11.6% |
| 2020–24 | 10.1% | 12.0% | 11.6% |
| Change | +0.1 pts | +0.1 pts | −0.6 pts |
Single parents head about one in ten households in Short (10.1%), a little below the national share of 11.6%.
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 Short
Renters in Short
| Period | Short | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | 15.4% | 31.8% | 33.3% |
| 2010–14 | 12.3% | 33.5% | 35.6% |
| 2015–19 | 17.1% | 34.4% | 36.0% |
| 2020–24 | 19.6% | 34.2% | 34.8% |
| Change | +4.2 pts | +2.4 pts | +1.5 pts |
Only 19.6% of households in Short rent their homes, far below the national share of 34.8%, so most residents are owners who tend to stay put. Among homeowners, 49.6% have no mortgage at all, above the national share of 39.8%.
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 Short
| Period | Short | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | 20.3% | 12.8% | 11.4% |
| 2010–14 | 15.2% | 12.7% | 11.4% |
| 2015–19 | 16.4% | 13.5% | 11.1% |
| 2020–24 | 10.5% | 11.3% | 9.6% |
| Change | −9.8 pts | −1.5 pts | −1.8 pts |
Vacancy in Short is close to the national rate: 10.5% of homes are empty, against 9.6%.
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 Short
| Period | Short | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | 1985 | 1976 | 1974 |
| 2010–14 | 1989 | 1977 | 1975 |
| 2015–19 | 1987 | 1979 | 1977 |
| 2020–24 | 1992 | 1982 | 1980 |
| Change | +7 | +7 | +6 |
Much of the housing in Short is relatively new: half of its homes were built after 1992, compared with 1980 for the U.S. as a whole.
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 Short
| Period | Short | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | $551 | $716 | $965 |
| 2010–14 | $623 | $805 | $1,040 |
| 2015–19 | $667 | $897 | $1,213 |
| 2020–24 | $725 | $1,127 | $1,571 |
| Change | +$174 | +$411 | +$606 |
A typical rental in Short costs $725 a month with utilities, well below the national median of $1,571. The typical renter here spends 31.8% of household income on rent, just over the 30% mark often used to define affordable rent.
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 Short
Bachelor's degrees in Short
| Period | Short | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | 13.2% | 24.2% | 28.4% |
| 2010–14 | 11.6% | 24.9% | 29.6% |
| 2015–19 | 13.5% | 26.1% | 32.1% |
| 2020–24 | 17.8% | 28.9% | 35.6% |
| Change | +4.6 pts | +4.7 pts | +7.2 pts |
College degrees are relatively uncommon in Short: 17.8% of adults 25 and older hold a bachelor's or higher, well below the national share of 35.6%.
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 Short
| Period | Short | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | 75.9% | 86.0% | 84.9% |
| 2010–14 | 80.4% | 87.0% | 86.1% |
| 2015–19 | 78.7% | 88.1% | 87.7% |
| 2020–24 | 85.3% | 89.3% | 89.3% |
| Change | +9.4 pts | +3.3 pts | +4.3 pts |
About one in seven adults in Short never finished high school, more than nationally: 85.3% have a diploma or equivalent, against 89.3% across the U.S.
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 Short
| Period | Short | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | 9.1% | 6.1% | 8.1% |
| 2010–14 | 15.2% | 6.8% | 9.4% |
| 2015–19 | 5.2% | 5.2% | 5.6% |
| 2020–24 | 2.2% | 5.0% | 5.4% |
| Change | −6.9 pts | −1.1 pts | −2.7 pts |
Unemployment in Short has been low: just 2.2% of the labor force was out of work and looking, well below the national rate of 5.4%. 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).
Short 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Short | 2.81 | 36.4 | 10.1% | 19.6% | 10.5% | 1992 | $725 | 17.8% | 85.3% | 2.2% |
| Uniontown | 2.55 | 43.1 | 4.7% | 8.5% | 12.5% | 1996 | $873 | 16.6% | 88.1% | 1.0% |
| Uniontown | 2.98 | 39.6 | 13.0% | 18.9% | 9.5% | 1990 | $737 | 10.9% | 78.4% | 3.8% |
| Nicut | 2.75 | 38.8 | 11.6% | 19.3% | 9.6% | 1990 | $696 | 12.7% | 81.0% | 3.2% |
| Long | 2.62 | 37.9 | 10.8% | 20.2% | 9.5% | 1990 | $676 | 13.6% | 82.9% | 2.7% |
| Cedarville | 2.64 | 46.7 | 11.0% | 5.9% | 8.4% | 1991 | $969 | 15.0% | 82.6% | 1.5% |
| Dora | 2.87 | 34.7 | 13.6% | 20.9% | 10.0% | 1998 | $956 | 19.3% | 92.8% | 0.0% |
| Stoney Point | 2.27 | 46.7 | 9.8% | 8.7% | 11.8% | 1984 | $784 | 14.5% | 81.7% | 7.5% |
| Maple | 2.56 | 41.8 | 11.1% | 19.4% | 12.2% | 1988 | $805 | 12.1% | 82.0% | 2.4% |
| Roland | 2.77 | 37.0 | 11.6% | 35.5% | 13.3% | 1987 | $871 | 12.1% | 86.4% | 3.3% |
| Muldrow | 2.69 | 37.9 | 10.0% | 29.5% | 12.4% | 1988 | $832 | 16.1% | 86.3% | 3.6% |
All figures 2020–24.
Cities with similar populations: Van Cleve, MO · Copperfield, NV · Cornwall Furnace, AL · Cornwall, VT · Covel, WV · Cowart, MS · Creamery, WV · Creston, SC · Crichton, LA · Crocketts Bluff, AR
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 Short. 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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