Laurel Mountain, PA Demographics

Population 397 · Census ACS 2020–24

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Laurel Mountain, PA map of median age by neighborhood
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Population and households in Laurel Mountain

Household size in Laurel Mountain

Household size, people per household
PeriodLaurel MountainPittsburgh areaPennsylvaniaU.S.
2006–102.312.372.512.68
2010–142.192.352.532.73
2015–192.082.292.502.71
2020–241.932.302.462.65
Change−0.38−0.07−0.05−0.03
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Households in Laurel Mountain are small: just 1.93 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. Since 2006–10, household size has dropped from 2.31, 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 Laurel Mountain

Median age, years
PeriodLaurel MountainPittsburgh areaPennsylvaniaU.S.
2006–1048.942.540.337.7
2010–1453.343.041.038.6
2015–1955.243.741.839.6
2020–2456.743.942.040.1
Change+7.9+1.4+1.7+2.3
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With a median age of 56.7, Laurel Mountain 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 Laurel Mountain

Single-parent households, % of households
PeriodLaurel MountainPittsburgh areaPennsylvaniaU.S.
2006–107.5%8.9%10.5%12.3%
2010–145.0%8.8%10.6%12.3%
2015–193.5%8.4%10.5%11.6%
2020–243.3%8.8%10.7%11.6%
Change−4.3 pts−0.0 pts+0.2 pts−0.6 pts
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Single parents head only 3.3% of households in Laurel Mountain, well 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 Laurel Mountain

Renters in Laurel Mountain

Renters, % of occupied homes
PeriodLaurel MountainPittsburgh areaPennsylvaniaU.S.
2006–1012.1%28.5%29.0%33.3%
2010–1422.3%29.9%30.5%35.6%
2015–1919.1%30.3%31.1%36.0%
2020–2413.4%29.3%30.7%34.8%
Change+1.3 pts+0.8 pts+1.7 pts+1.5 pts
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Only 13.4% of households in Laurel Mountain rent their homes, far below the national share of 34.8%, so most residents are owners who tend to stay put. Among homeowners, 55.6% 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 Laurel Mountain

Vacant homes, % of all homes
PeriodLaurel MountainPittsburgh areaPennsylvaniaU.S.
2006–1022.4%10.7%10.3%11.4%
2010–1421.8%10.4%10.5%11.4%
2015–1926.0%10.5%10.7%11.1%
2020–2432.7%10.0%9.1%9.6%
Change+10.2 pts−0.7 pts−1.2 pts−1.8 pts
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Vacancy is high in Laurel Mountain: 32.7% 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 Laurel Mountain

Age of homes, median year built
PeriodLaurel MountainPittsburgh areaPennsylvaniaU.S.
2006–101957196019631974
2010–141958196119641975
2015–191954196219651977
2020–241956196419671980
Change−1+4+4+6
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The housing in Laurel Mountain is old by national standards: the median home dates to 1956, against 1980 for the U.S., so buyers will find more older houses, some of them due for updates.

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 Laurel Mountain

Rent, per month
PeriodLaurel MountainPittsburgh areaPennsylvaniaU.S.
2006–10$641$720$829$965
2010–14$728$801$923$1,040
2015–19$741$922$1,039$1,213
2020–24$988$1,162$1,323$1,571
Change+$347+$442+$494+$606
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The median renter in Laurel Mountain pays $988 a month for rent and utilities, well below the national median of $1,571. The typical renter here spends 41.5% of household income on rent, well over the 30% mark often used to define affordable rent, so many renters here are stretched.

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 Laurel Mountain

Bachelor's degrees in Laurel Mountain

Bachelor's degrees, % of adults 25+
PeriodLaurel MountainPittsburgh areaPennsylvaniaU.S.
2006–1027.1%29.5%27.2%28.4%
2010–1434.7%31.7%28.7%29.6%
2015–1946.8%35.2%31.8%32.1%
2020–2432.7%39.0%35.6%35.6%
Change+5.6 pts+9.5 pts+8.3 pts+7.2 pts
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College degrees are about as common in Laurel Mountain as nationally: 32.7% of adults 25 and older have a bachelor's or higher, against 35.6%. The share is lower than in the Pittsburgh area as a whole (39.0%).

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 Laurel Mountain

High school graduates, % of adults 25+
PeriodLaurel MountainPittsburgh areaPennsylvaniaU.S.
2006–1094.7%90.8%87.3%84.9%
2010–1493.8%92.3%88.8%86.1%
2015–1995.8%93.8%90.3%87.7%
2020–2493.2%95.0%91.8%89.3%
Change−1.5 pts+4.2 pts+4.5 pts+4.3 pts
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High school completion in Laurel Mountain is above the national rate: 93.2% of adults have a diploma or equivalent, against 89.3%. Even so, the rate is lower than in the Pittsburgh area as a whole (95.0%).

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 Laurel Mountain

Unemployment, % of the labor force
PeriodLaurel MountainPittsburgh areaPennsylvaniaU.S.
2006–104.1%6.9%7.5%8.1%
2010–144.7%7.5%8.8%9.4%
2015–193.3%4.9%5.5%5.6%
2020–244.7%5.0%5.4%5.4%
Change+0.6 pts−1.9 pts−2.1 pts−2.7 pts
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Unemployment in Laurel Mountain is close to the national rate: 4.7% of the labor force, against 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).

Laurel Mountain compared with nearby cities

CityHousehold sizeMedian ageSingle parentsRentersVacant homesMedian year builtMedian rentBachelor's degreeHigh school diplomaUnemployment
Laurel Mountain1.9356.73.3%13.4%32.7%1956$98832.7%93.2%4.7%
Laughlintown2.1752.15.4%7.3%20.8%1962$91527.0%90.4%2.5%
Ligonier2.1156.03.6%17.3%16.8%1962$95136.7%96.9%2.5%
Rector2.0656.34.3%17.9%27.2%1967$86526.3%92.1%4.5%
Wilpen1.9560.23.1%16.3%17.4%1974$97130.6%97.6%0.8%
Hillsview2.2751.51.9%8.5%28.9%1979$68525.9%93.8%3.4%
Gray2.4652.06.3%10.6%8.7%1973$83917.9%90.6%1.3%
McCance2.2950.94.6%14.1%17.4%1963$1,06131.6%97.5%4.9%
Stahlstown2.2854.34.2%13.4%15.4%1971$77225.1%91.9%2.8%
Jennerstown3.0046.99.0%20.3%9.3%1966$85114.1%96.4%3.8%
Boswell2.2949.28.2%17.5%13.7%1962$75314.9%92.6%2.2%

All figures 2020–24.

Cities with similar populations: Ithaca, OH · Shreve, AL · Shortly, DE · Shoal, NC · Kenansville, FL · Keller, WA · Kattelville, NY · Kampsville, IL · Kamay, TX · Joseph, MS

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 Laurel Mountain. 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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