USA.com / Pennsylvania / Armstrong County / Ford City, PA / 16226 / Housing / Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
16226 Zip Code Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
ACS 2010-2014 data
Median Owner Costs, see rank
16226 Zip Code | 973 USD |
Pennsylvania | 1,443 USD |
U.S. | 1,522 USD |
Owner Costs Distribution
Monthly Owner Costs | 16226 Zip Code | % | Pennsylvania | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.14% | 0.20% |
$300 to $499 | 24 | 2.01%, see rank | 1.71% | 1.59% |
$500 to $699 | 128 | 10.70%, see rank | 5.59% | 5.01% |
$700 to $999 | 480 | 40.13%, see rank | 15.72% | 14.32% |
$1,000 to $1,499 | 377 | 31.52%, see rank | 30.12% | 27.90% |
$1,500 to $1,999 | 166 | 13.88%, see rank | 21.20% | 20.35% |
$2,000 to $2,999 | 12 | 1.00%, see rank | 18.03% | 19.52% |
$3,000 or More | 9 | 0.75%, see rank | 7.50% | 11.12% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
16226 Zip Code | 18.50% 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
16226 Zip Code | % | Pennsylvania | U.S. | |
10% or Less | 127 | 10.62%, see rank | 6.45% | 5.86% |
10% to 20% | 536 | 44.82%, see rank | 34.37% | 31.95% |
20% to 30% | 278 | 23.24%, see rank | 28.10% | 27.64% |
30% to 40% | 99 | 8.28%, see rank | 12.95% | 13.74% |
40% or More | 154 | 12.88%, see rank | 17.70% | 20.29% |
ACS 2008-2012 data
Median Owner Costs, see rank
16226 Zip Code | 974 USD |
Pennsylvania | 1,447 USD |
U.S. | 1,559 USD |
Owner Costs Distribution
Monthly Owner Costs | 16226 Zip Code | % | Pennsylvania | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.14% | 0.18% |
$300 to $499 | 9 | 0.80%, see rank | 1.68% | 1.59% |
$500 to $699 | 134 | 11.85%, see rank | 5.53% | 4.89% |
$700 to $999 | 456 | 40.32%, see rank | 15.69% | 13.71% |
$1,000 to $1,499 | 396 | 35.01%, see rank | 29.99% | 26.97% |
$1,500 to $1,999 | 123 | 10.88%, see rank | 20.84% | 20.33% |
$2,000 to $2,999 | 6 | 0.53%, see rank | 18.15% | 20.10% |
$3,000 or More | 7 | 0.62%, see rank | 7.98% | 12.24% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
16226 Zip Code | 22.80% 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
16226 Zip Code | % | Pennsylvania | U.S. | |
10% or Less | 68 | 6.01%, see rank | 5.62% | 5.04% |
10% to 20% | 406 | 35.90%, see rank | 32.47% | 29.70% |
20% to 30% | 391 | 34.57%, see rank | 29.21% | 28.18% |
30% to 40% | 103 | 9.11%, see rank | 14.02% | 14.80% |
40% or More | 163 | 14.41%, see rank | 18.29% | 21.80% |
US Census 2000 data
Median Owner Costs, see rank
16226 Zip Code | 762 USD |
Pennsylvania | 1,010 USD |
U.S. | 1,088 USD |
Owner Costs Distribution
Monthly Owner Costs | 16226 Zip Code | % | Pennsylvania | U.S. |
$299 or Less | 8 | 0.80%, see rank | 0.51% | 0.66% |
$300 to $499 | 87 | 8.68%, see rank | 6.05% | 5.56% |
$500 to $699 | 325 | 32.44%, see rank | 15.02% | 12.79% |
$700 to $999 | 365 | 36.43%, see rank | 27.69% | 24.86% |
$1,000 to $1,499 | 184 | 18.36%, see rank | 30.38% | 30.21% |
$1,500 to $1,999 | 15 | 1.50%, see rank | 12.26% | 14.37% |
$2,000 to $2,999 | 18 | 1.80%, 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
16226 Zip Code | 19.80% 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
16226 Zip Code | % | Pennsylvania | U.S. | |
10% or Less | 68 | 6.79%, see rank | 7.09% | 7.21% |
10% to 20% | 437 | 43.61%, see rank | 37.19% | 36.64% |
20% to 30% | 231 | 23.05%, see rank | 29.36% | 29.01% |
30% to 40% | 72 | 7.19%, see rank | 11.83% | 12.29% |
40% or More | 185 | 18.46%, 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.