USA.com / Pennsylvania / Erie County / Lake City, PA / 16423 / Housing / Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
16423 Zip Code Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
ACS 2010-2014 data
Median Owner Costs, see rank
16423 Zip Code | 1,016 USD |
Pennsylvania | 1,443 USD |
U.S. | 1,522 USD |
Owner Costs Distribution
Monthly Owner Costs | 16423 Zip Code | % | Pennsylvania | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.14% | 0.20% |
$300 to $499 | 30 | 3.27%, see rank | 1.71% | 1.59% |
$500 to $699 | 83 | 9.05%, see rank | 5.59% | 5.01% |
$700 to $999 | 330 | 35.99%, see rank | 15.72% | 14.32% |
$1,000 to $1,499 | 334 | 36.42%, see rank | 30.12% | 27.90% |
$1,500 to $1,999 | 82 | 8.94%, see rank | 21.20% | 20.35% |
$2,000 to $2,999 | 43 | 4.69%, see rank | 18.03% | 19.52% |
$3,000 or More | 15 | 1.64%, see rank | 7.50% | 11.12% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
16423 Zip Code | 20.40% 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
16423 Zip Code | % | Pennsylvania | U.S. | |
10% or Less | 27 | 2.94%, see rank | 6.45% | 5.86% |
10% to 20% | 423 | 46.13%, see rank | 34.37% | 31.95% |
20% to 30% | 233 | 25.41%, see rank | 28.10% | 27.64% |
30% to 40% | 108 | 11.78%, see rank | 12.95% | 13.74% |
40% or More | 126 | 13.74%, see rank | 17.70% | 20.29% |
ACS 2008-2012 data
Median Owner Costs, see rank
16423 Zip Code | 1,053 USD |
Pennsylvania | 1,447 USD |
U.S. | 1,559 USD |
Owner Costs Distribution
Monthly Owner Costs | 16423 Zip Code | % | Pennsylvania | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.14% | 0.18% |
$300 to $499 | 29 | 3.10%, see rank | 1.68% | 1.59% |
$500 to $699 | 82 | 8.76%, see rank | 5.53% | 4.89% |
$700 to $999 | 309 | 33.01%, see rank | 15.69% | 13.71% |
$1,000 to $1,499 | 349 | 37.29%, see rank | 29.99% | 26.97% |
$1,500 to $1,999 | 111 | 11.86%, see rank | 20.84% | 20.33% |
$2,000 to $2,999 | 43 | 4.59%, see rank | 18.15% | 20.10% |
$3,000 or More | 13 | 1.39%, see rank | 7.98% | 12.24% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
16423 Zip Code | 23.40% 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
16423 Zip Code | % | Pennsylvania | U.S. | |
10% or Less | 15 | 1.60%, see rank | 5.62% | 5.04% |
10% to 20% | 341 | 36.43%, see rank | 32.47% | 29.70% |
20% to 30% | 292 | 31.20%, see rank | 29.21% | 28.18% |
30% to 40% | 100 | 10.68%, see rank | 14.02% | 14.80% |
40% or More | 188 | 20.09%, see rank | 18.29% | 21.80% |
US Census 2000 data
Median Owner Costs, see rank
16423 Zip Code | 822 USD |
Pennsylvania | 1,010 USD |
U.S. | 1,088 USD |
Owner Costs Distribution
Monthly Owner Costs | 16423 Zip Code | % | Pennsylvania | U.S. |
$299 or Less | 9 | 1.36%, see rank | 0.51% | 0.66% |
$300 to $499 | 61 | 9.20%, see rank | 6.05% | 5.56% |
$500 to $699 | 151 | 22.78%, see rank | 15.02% | 12.79% |
$700 to $999 | 270 | 40.72%, see rank | 27.69% | 24.86% |
$1,000 to $1,499 | 139 | 20.97%, see rank | 30.38% | 30.21% |
$1,500 to $1,999 | 28 | 4.22%, see rank | 12.26% | 14.37% |
$2,000 to $2,999 | 5 | 0.75%, 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
16423 Zip Code | 21.80% 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
16423 Zip Code | % | Pennsylvania | U.S. | |
10% or Less | 56 | 8.45%, see rank | 7.09% | 7.21% |
10% to 20% | 238 | 35.90%, see rank | 37.19% | 36.64% |
20% to 30% | 171 | 25.79%, see rank | 29.36% | 29.01% |
30% to 40% | 112 | 16.89%, see rank | 11.83% | 12.29% |
40% or More | 86 | 12.97%, 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.