Population 105 · Census ACS 2020–24
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Population and households in Snow
Household size in Snow
| Period | Snow | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | 2.81 | 2.55 | 2.68 |
| 2010–14 | 2.14 | 2.60 | 2.73 |
| 2015–19 | 2.04 | 2.63 | 2.71 |
| 2020–24 | 2.23 | 2.58 | 2.65 |
| Change | −0.58 | +0.03 | −0.03 |
Households in Snow are small: just 2.23 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 2.81 in 2006–10, but in a place this small, survey estimates can swing a lot from one release to the next.
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 Snow
| Period | Snow | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | 37.0 | 37.4 | 37.7 |
| 2010–14 | 49.2 | 37.5 | 38.6 |
| 2015–19 | 54.5 | 37.9 | 39.6 |
| 2020–24 | 47.9 | 38.0 | 40.1 |
| Change | +10.9 | +0.6 | +2.3 |
With a median age of 47.9, Snow is noticeably older than the country as a whole (40.1), an age mix that tilts toward empty nesters and retirees.
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 Snow
| Period | Snow | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | 22.5% | 11.9% | 12.3% |
| 2010–14 | 7.4% | 12.1% | 12.3% |
| 2015–19 | 3.5% | 12.1% | 11.6% |
| 2020–24 | 5.4% | 12.0% | 11.6% |
| Change | −17.1 pts | +0.1 pts | −0.6 pts |
Single-parent households are relatively rare in Snow: 5.4% of households, against 11.6% 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 Snow
Renters in Snow
| Period | Snow | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | 19.1% | 31.8% | 33.3% |
| 2010–14 | 23.9% | 33.5% | 35.6% |
| 2015–19 | 9.6% | 34.4% | 36.0% |
| 2020–24 | 16.1% | 34.2% | 34.8% |
| Change | −3.0 pts | +2.4 pts | +1.5 pts |
Only 16.1% of households in Snow rent their homes, far below the national share of 34.8%, so most residents are owners who tend to stay put. Among homeowners, 59.3% have no mortgage at all, well 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 Snow
| Period | Snow | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | 25.5% | 12.8% | 11.4% |
| 2010–14 | 18.1% | 12.7% | 11.4% |
| 2015–19 | 26.3% | 13.5% | 11.1% |
| 2020–24 | 27.2% | 11.3% | 9.6% |
| Change | +1.7 pts | −1.5 pts | −1.8 pts |
Vacancy is high in Snow: 27.2% of homes are empty, far above the national rate of 9.6%. In resort and lake areas that usually means seasonal and vacation homes; elsewhere it can point to weak demand.
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 Snow
| Period | Snow | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | 1978 | 1976 | 1974 |
| 2010–14 | 1978 | 1977 | 1975 |
| 2015–19 | 1978 | 1979 | 1977 |
| 2020–24 | 1985 | 1982 | 1980 |
| Change | +7 | +7 | +6 |
Homes in Snow are a bit newer than the national norm: the median home was built in 1985, versus 1980 across the U.S. The picture is much the same across Oklahoma.
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 Snow
| Period | Snow | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | $537 | $716 | $965 |
| 2010–14 | $566 | $805 | $1,040 |
| 2015–19 | $530 | $897 | $1,213 |
| 2020–24 | $870 | $1,127 | $1,571 |
| Change | +$333 | +$411 | +$606 |
A typical rental in Snow costs $870 a month with utilities, well below the national median of $1,571. The typical renter here spends 15.1% of household income on rent, comfortably under the 30% mark often used to define affordable rent, and a smaller share than renters pay nationally.
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 Snow
Bachelor's degrees in Snow
| Period | Snow | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | 15.8% | 24.2% | 28.4% |
| 2010–14 | 14.2% | 24.9% | 29.6% |
| 2015–19 | 9.5% | 26.1% | 32.1% |
| 2020–24 | 22.6% | 28.9% | 35.6% |
| Change | +6.9 pts | +4.7 pts | +7.2 pts |
Fewer adults in Snow have a four-year degree than in the country as a whole: 22.6%, against 35.6% 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 Snow
| Period | Snow | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | 78.3% | 86.0% | 84.9% |
| 2010–14 | 77.1% | 87.0% | 86.1% |
| 2015–19 | 85.4% | 88.1% | 87.7% |
| 2020–24 | 91.7% | 89.3% | 89.3% |
| Change | +13.4 pts | +3.3 pts | +4.3 pts |
About nine in ten adults in Snow have finished high school (91.7%), a bit above the national rate of 89.3%.
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 Snow
| Period | Snow | Oklahoma | U.S. |
|---|---|---|---|
| 2006–10 | 7.3% | 6.1% | 8.1% |
| 2010–14 | 14.0% | 6.8% | 9.4% |
| 2015–19 | 0.0% | 5.2% | 5.6% |
| 2020–24 | 0.0% | 5.0% | 5.4% |
| Change | −7.3 pts | −1.1 pts | −2.7 pts |
The survey found almost no one in Snow out of work and looking, against 5.4% of the labor force nationally. Each figure pools five years of surveys (2020–24), so it describes that whole stretch rather than today's 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).
Snow 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Snow | 2.23 | 47.9 | 5.4% | 16.1% | 27.2% | 1985 | $870 | 22.6% | 91.7% | 0.0% |
| Nashoba | 2.34 | 49.8 | 4.9% | 16.3% | 23.3% | 1983 | $804 | 15.7% | 86.0% | 2.1% |
| Clayton | 2.10 | 49.4 | 10.3% | 31.4% | 26.1% | 1985 | $503 | 14.1% | 87.5% | 5.9% |
| Finley | 2.23 | 47.9 | 5.4% | 16.1% | 27.2% | 1985 | $870 | 22.6% | 91.7% | 0.0% |
| Nolia | 2.52 | 48.4 | 6.8% | 16.6% | 21.9% | 1982 | $775 | 15.6% | 85.4% | 2.8% |
| Dunbar | 2.24 | 46.0 | 10.7% | 25.8% | 30.6% | 1986 | $550 | 14.5% | 88.1% | 5.2% |
| Stanley | 2.05 | 48.5 | 10.9% | 35.6% | 27.6% | 1984 | $437 | 14.0% | 87.0% | 7.2% |
| Clebit | 2.91 | 41.3 | 9.5% | 14.8% | 31.7% | 1984 | $529 | 15.9% | 88.0% | 4.6% |
| Moyers | 2.61 | 40.7 | 10.7% | 5.4% | 37.0% | 1990 | $759 | 15.0% | 90.2% | 1.3% |
| Daisy | 2.44 | 43.4 | 10.2% | 11.7% | 18.4% | 1985 | $761 | 17.3% | 87.2% | 3.5% |
| Battiest | 2.95 | 40.0 | 8.7% | 15.1% | 37.4% | 1985 | $497 | 14.5% | 87.7% | 4.0% |
All figures 2020–24.
Cities with similar populations: Poplar Springs, SC · Queen Shoals, WV · Quebec, NC · Pumpkin Center, MS · Pruitt, AR · Prosper, OR · Promised Land, AR · Possum Trot, KY · Portland, KS · Portage, MT
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 Snow. 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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