USA.com / Pennsylvania / Fayette County / Lake Lynn, PA / 15451 / Housing / Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
15451 Zip Code Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
ACS 2010-2014 data
Median Owner Costs, see rank
15451 Zip Code | 866 USD |
Pennsylvania | 1,443 USD |
U.S. | 1,522 USD |
Owner Costs Distribution
Monthly Owner Costs | 15451 Zip Code | % | Pennsylvania | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.14% | 0.20% |
$300 to $499 | 16 | 8.00%, see rank | 1.71% | 1.59% |
$500 to $699 | 40 | 20.00%, see rank | 5.59% | 5.01% |
$700 to $999 | 73 | 36.50%, see rank | 15.72% | 14.32% |
$1,000 to $1,499 | 13 | 6.50%, see rank | 30.12% | 27.90% |
$1,500 to $1,999 | 24 | 12.00%, see rank | 21.20% | 20.35% |
$2,000 to $2,999 | 34 | 17.00%, see rank | 18.03% | 19.52% |
$3,000 or More | 0 | 0.00%, see rank | 7.50% | 11.12% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
15451 Zip Code | 19.60% of the Total Income |
Pennsylvania | 22.70% of the Total Income |
U.S. | 23.70% of the Total Income |
Owner Cost as a Percentage of the Total Income, Distribution
15451 Zip Code | % | Pennsylvania | U.S. | |
10% or Less | 20 | 10.00%, see rank | 6.45% | 5.86% |
10% to 20% | 77 | 38.50%, see rank | 34.37% | 31.95% |
20% to 30% | 40 | 20.00%, see rank | 28.10% | 27.64% |
30% to 40% | 13 | 6.50%, see rank | 12.95% | 13.74% |
40% or More | 33 | 16.50%, see rank | 17.70% | 20.29% |
ACS 2008-2012 data
Median Owner Costs, see rank
15451 Zip Code | 940 USD |
Pennsylvania | 1,447 USD |
U.S. | 1,559 USD |
Owner Costs Distribution
Monthly Owner Costs | 15451 Zip Code | % | Pennsylvania | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.14% | 0.18% |
$300 to $499 | 18 | 9.14%, see rank | 1.68% | 1.59% |
$500 to $699 | 43 | 21.83%, see rank | 5.53% | 4.89% |
$700 to $999 | 50 | 25.38%, see rank | 15.69% | 13.71% |
$1,000 to $1,499 | 47 | 23.86%, see rank | 29.99% | 26.97% |
$1,500 to $1,999 | 30 | 15.23%, see rank | 20.84% | 20.33% |
$2,000 to $2,999 | 9 | 4.57%, see rank | 18.15% | 20.10% |
$3,000 or More | 0 | 0.00%, see rank | 7.98% | 12.24% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
15451 Zip Code | 18.70% of the Total Income |
Pennsylvania | 23.50% of the Total Income |
U.S. | 24.70% of the Total Income |
Owner Cost as a Percentage of the Total Income, Distribution
15451 Zip Code | % | Pennsylvania | U.S. | |
10% or Less | 21 | 10.66%, see rank | 5.62% | 5.04% |
10% to 20% | 93 | 47.21%, see rank | 32.47% | 29.70% |
20% to 30% | 52 | 26.40%, see rank | 29.21% | 28.18% |
30% to 40% | 11 | 5.58%, see rank | 14.02% | 14.80% |
40% or More | 20 | 10.15%, see rank | 18.29% | 21.80% |
US Census 2000 data
Median Owner Costs, see rank
15451 Zip Code | 663 USD |
Pennsylvania | 1,010 USD |
U.S. | 1,088 USD |
Owner Costs Distribution
Monthly Owner Costs | 15451 Zip Code | % | Pennsylvania | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.51% | 0.66% |
$300 to $499 | 22 | 21.36%, see rank | 6.05% | 5.56% |
$500 to $699 | 42 | 40.78%, see rank | 15.02% | 12.79% |
$700 to $999 | 15 | 14.56%, see rank | 27.69% | 24.86% |
$1,000 to $1,499 | 24 | 23.30%, see rank | 30.38% | 30.21% |
$1,500 to $1,999 | 0 | 0.00%, see rank | 12.26% | 14.37% |
$2,000 to $2,999 | 0 | 0.00%, see rank | 6.27% | 8.43% |
$3,000 or More | 0 | 0.00%, see rank | 1.83% | 3.13% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
15451 Zip Code | 25.30% of the Total Income |
Pennsylvania | 21.60% of the Total Income |
U.S. | 21.70% of the Total Income |
Owner Cost as a Percentage of the Total Income, Distribution
15451 Zip Code | % | Pennsylvania | U.S. | |
10% or Less | 0 | 0.00%, see rank | 7.09% | 7.21% |
10% to 20% | 44 | 42.72%, see rank | 37.19% | 36.64% |
20% to 30% | 23 | 22.33%, see rank | 29.36% | 29.01% |
30% to 40% | 18 | 17.48%, see rank | 11.83% | 12.29% |
40% or More | 13 | 12.62%, see rank | 14.05% | 14.37% |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.