USA.com / Pennsylvania / Warriors Mark, PA / 16877 / Housing / Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
16877 Zip Code Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
ACS 2010-2014 data
Median Owner Costs, see rank
16877 Zip Code | 1,314 USD |
Pennsylvania | 1,443 USD |
U.S. | 1,522 USD |
Owner Costs Distribution
Monthly Owner Costs | 16877 Zip Code | % | Pennsylvania | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.14% | 0.20% |
$300 to $499 | 5 | 1.38%, see rank | 1.71% | 1.59% |
$500 to $699 | 6 | 1.65%, see rank | 5.59% | 5.01% |
$700 to $999 | 49 | 13.50%, see rank | 15.72% | 14.32% |
$1,000 to $1,499 | 149 | 41.05%, see rank | 30.12% | 27.90% |
$1,500 to $1,999 | 85 | 23.42%, see rank | 21.20% | 20.35% |
$2,000 to $2,999 | 57 | 15.70%, see rank | 18.03% | 19.52% |
$3,000 or More | 12 | 3.31%, see rank | 7.50% | 11.12% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
16877 Zip Code | 21.10% 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
16877 Zip Code | % | Pennsylvania | U.S. | |
10% or Less | 14 | 3.86%, see rank | 6.45% | 5.86% |
10% to 20% | 157 | 43.25%, see rank | 34.37% | 31.95% |
20% to 30% | 80 | 22.04%, see rank | 28.10% | 27.64% |
30% to 40% | 44 | 12.12%, see rank | 12.95% | 13.74% |
40% or More | 68 | 18.73%, see rank | 17.70% | 20.29% |
ACS 2008-2012 data
Median Owner Costs, see rank
16877 Zip Code | 1,404 USD |
Pennsylvania | 1,447 USD |
U.S. | 1,559 USD |
Owner Costs Distribution
Monthly Owner Costs | 16877 Zip Code | % | Pennsylvania | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.14% | 0.18% |
$300 to $499 | 3 | 0.74%, see rank | 1.68% | 1.59% |
$500 to $699 | 18 | 4.46%, see rank | 5.53% | 4.89% |
$700 to $999 | 64 | 15.84%, see rank | 15.69% | 13.71% |
$1,000 to $1,499 | 140 | 34.65%, see rank | 29.99% | 26.97% |
$1,500 to $1,999 | 94 | 23.27%, see rank | 20.84% | 20.33% |
$2,000 to $2,999 | 66 | 16.34%, see rank | 18.15% | 20.10% |
$3,000 or More | 19 | 4.70%, see rank | 7.98% | 12.24% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
16877 Zip Code | 19.80% 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
16877 Zip Code | % | Pennsylvania | U.S. | |
10% or Less | 26 | 6.44%, see rank | 5.62% | 5.04% |
10% to 20% | 181 | 44.80%, see rank | 32.47% | 29.70% |
20% to 30% | 83 | 20.54%, see rank | 29.21% | 28.18% |
30% to 40% | 53 | 13.12%, see rank | 14.02% | 14.80% |
40% or More | 61 | 15.10%, see rank | 18.29% | 21.80% |
US Census 2000 data
Median Owner Costs, see rank
16877 Zip Code | 958 USD |
Pennsylvania | 1,010 USD |
U.S. | 1,088 USD |
Owner Costs Distribution
Monthly Owner Costs | 16877 Zip Code | % | Pennsylvania | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.51% | 0.66% |
$300 to $499 | 4 | 1.72%, see rank | 6.05% | 5.56% |
$500 to $699 | 47 | 20.26%, see rank | 15.02% | 12.79% |
$700 to $999 | 83 | 35.78%, see rank | 27.69% | 24.86% |
$1,000 to $1,499 | 59 | 25.43%, see rank | 30.38% | 30.21% |
$1,500 to $1,999 | 33 | 14.22%, see rank | 12.26% | 14.37% |
$2,000 to $2,999 | 4 | 1.72%, see rank | 6.27% | 8.43% |
$3,000 or More | 2 | 0.86%, see rank | 1.83% | 3.13% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
16877 Zip Code | 23.70% 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
16877 Zip Code | % | Pennsylvania | U.S. | |
10% or Less | 10 | 4.31%, see rank | 7.09% | 7.21% |
10% to 20% | 80 | 34.48%, see rank | 37.19% | 36.64% |
20% to 30% | 70 | 30.17%, see rank | 29.36% | 29.01% |
30% to 40% | 38 | 16.38%, see rank | 11.83% | 12.29% |
40% or More | 32 | 13.79%, 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.