Mount Willing, SC Demographics

Population 538 · Census ACS 2020–24

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Mount Willing, SC map of median age by neighborhood
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Population and households in Mount Willing

Household size in Mount Willing

Household size, people per household
PeriodMount WillingColumbia areaSouth CarolinaU.S.
2006–102.402.512.542.68
2010–142.382.552.592.73
2015–192.132.552.572.71
2020–242.732.462.502.65
Change+0.34−0.05−0.04−0.03
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The typical household in Mount Willing holds 2.73 people, slightly more than the U.S. average of 2.65. Since 2006–10, household size has climbed from 2.40, 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 Mount Willing

Median age, years
PeriodMount WillingColumbia areaSouth CarolinaU.S.
2006–1052.337.138.337.7
2010–1443.337.839.338.6
2015–1951.438.640.639.6
2020–2444.339.441.240.1
Change−8.1+2.3+2.9+2.3
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Mount Willing skews older: half of its residents are older than 44.3, well above the national median of 40.1. That usually means more empty nesters and retirees, and fewer young families.

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 Mount Willing

Single-parent households, % of households
PeriodMount WillingColumbia areaSouth CarolinaU.S.
2006–108.0%13.2%13.0%12.3%
2010–1416.4%13.4%13.0%12.3%
2015–197.4%12.9%11.8%11.6%
2020–2413.6%12.9%11.7%11.6%
Change+5.6 pts−0.3 pts−1.3 pts−0.6 pts
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Single parents head nearly one in seven households in Mount Willing (13.6%), a bit above the national share of 11.6%. That is in line with the rest of the Columbia area.

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 Mount Willing

Renters in Mount Willing

Renters, % of occupied homes
PeriodMount WillingColumbia areaSouth CarolinaU.S.
2006–1015.0%31.2%30.1%33.3%
2010–1415.3%32.8%31.4%35.6%
2015–1918.1%32.1%30.6%36.0%
2020–2411.6%30.6%28.1%34.8%
Change−3.5 pts−0.6 pts−2.0 pts+1.5 pts
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Only 11.6% of households in Mount Willing rent their homes, far below the national share of 34.8%, so most residents are owners who tend to stay put. Nearly two-thirds of owners (63.7%) have paid off their mortgages, 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 Mount Willing

Vacant homes, % of all homes
PeriodMount WillingColumbia areaSouth CarolinaU.S.
2006–1019.0%10.7%14.2%11.4%
2010–1416.5%12.0%14.2%11.4%
2015–1920.9%11.8%13.3%11.1%
2020–2411.7%10.3%11.8%9.6%
Change−7.3 pts−0.4 pts−2.5 pts−1.8 pts
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Vacancy runs a little high in Mount Willing: 11.7% of homes are empty, against 9.6% nationally. The count includes vacation homes and homes between owners or tenants, not just abandoned ones. The picture is much the same across the Columbia area.

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 Mount Willing

Age of homes, median year built
PeriodMount WillingColumbia areaSouth CarolinaU.S.
2006–101974198419841974
2010–141979198519851975
2015–191978198619871977
2020–241980199019911980
Change+6+6+7+6
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The typical home in Mount Willing was built around 1980, the same vintage as the country's housing overall. Homes here are older than in the Columbia area overall, where the median home dates to 1990.

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 Mount Willing

Rent, per month
PeriodMount WillingColumbia areaSouth CarolinaU.S.
2006–10$591$831$780$965
2010–14$642$908$859$1,040
2015–19$796$1,021$984$1,213
2020–24$908$1,285$1,294$1,571
Change+$318+$453+$514+$606
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Rent in Mount Willing runs $908 a month at the median, utilities included, well below the U.S. median of $1,571. The typical renter here spends 30.0% 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 Mount Willing

Bachelor's degrees in Mount Willing

Bachelor's degrees, % of adults 25+
PeriodMount WillingColumbia areaSouth CarolinaU.S.
2006–1012.3%31.5%25.2%28.4%
2010–1411.4%31.8%26.5%29.6%
2015–1916.8%34.1%28.9%32.1%
2020–2418.5%35.9%32.6%35.6%
Change+6.2 pts+4.4 pts+7.4 pts+7.2 pts
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College degrees are relatively uncommon in Mount Willing: 18.5% 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 Mount Willing

High school graduates, % of adults 25+
PeriodMount WillingColumbia areaSouth CarolinaU.S.
2006–1081.7%88.1%84.0%84.9%
2010–1484.9%88.7%85.7%86.1%
2015–1981.4%90.2%87.8%87.7%
2020–2486.7%91.4%90.2%89.3%
Change+5.0 pts+3.3 pts+6.2 pts+4.3 pts
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Just over one in eight adults in Mount Willing never finished high school, a bit more than nationally: 86.7% 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 Mount Willing

Unemployment, % of the labor force
PeriodMount WillingColumbia areaSouth CarolinaU.S.
2006–1010.5%7.6%9.1%8.1%
2010–1410.9%9.7%10.6%9.4%
2015–193.1%6.0%5.8%5.6%
2020–240.8%5.4%4.9%5.4%
Change−9.7 pts−2.2 pts−4.2 pts−2.7 pts
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The job market in Mount Willing has been strong: just 0.8% of the labor force was out of work and looking, well below the national rate of 5.4%. 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).

Mount Willing compared with nearby cities

CityHousehold sizeMedian ageSingle parentsRentersVacant homesMedian year builtMedian rentBachelor's degreeHigh school diplomaUnemployment
Mount Willing2.7344.313.6%11.6%11.7%1980$90818.5%86.7%0.8%
Emory2.4937.913.2%42.3%6.8%1988$85819.3%76.6%1.2%
Saluda2.5939.719.4%27.9%17.0%1985$94217.9%83.0%2.6%
Stoney Hill2.0951.99.1%20.6%19.5%1989$1,11431.8%91.6%0.9%
Batesburg-Leesville2.5241.817.2%28.5%16.3%1971$95013.4%85.5%4.6%
Limp2.9937.330.5%29.4%45.6%1992$88029.3%83.2%0.0%
Lake Murray Shores2.3355.66.9%11.7%25.9%1996$1,29635.9%92.6%3.6%
Leesville2.4346.310.1%12.1%16.5%1993$99119.0%90.5%6.1%
Fruit Hill2.4644.414.6%26.2%9.8%1986$75421.2%79.5%1.9%
Prosperity2.3748.611.3%22.1%18.3%1990$1,12926.1%86.8%2.3%
Summit2.5642.013.6%13.3%10.7%1995$96310.7%91.8%9.2%

All figures 2020–24.

Cities with similar populations: Callender, IA · Westville, OH · Westphalia, KS · Carson Spring, TN · Carroll, NE · Caplinger Mills, MO · Cameron, NY · Camden, MS · Calvin, OK · White Hall, SC

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 Mount Willing. 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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