USA.com / Pennsylvania / Berks County / Maxatawny, PA / 19538 / Housing / Historical Monthly Owner Costs for Housing Units Without a Mortgage Status Data
19538 Zip Code Historical Monthly Owner Costs for Housing Units Without a Mortgage Status Data
ACS 2010-2014 data
Owner Costs Distribution
Monthly Owner Costs | 19538 Zip Code | % | Pennsylvania | U.S. |
$199 or Less | 0 | 0.00%, see rank | 3.93% | 7.76% |
$200 to $299 | 0 | 0.00%, see rank | 10.62% | 14.70% |
$300 to $499 | 0 | 0.00%, see rank | 36.51% | 34.63% |
$500 to $699 | 0 | 0.00%, see rank | 26.66% | 21.16% |
$700 or More | 9 | 100.00%, see rank | 22.28% | 21.75% |
Owner Cost as a Percentage of the Total Income, Distribution
19538 Zip Code | % | Pennsylvania | U.S. | |
10% or Less | 9 | 100.00%, see rank | 35.42% | 40.19% |
10% to 20% | 0 | 0.00%, see rank | 33.18% | 31.47% |
20% to 30% | 0 | 0.00%, see rank | 14.06% | 12.24% |
30% to 40% | 0 | 0.00%, see rank | 6.58% | 5.64% |
40% or More | 0 | 0.00%, see rank | 9.77% | 9.16% |
ACS 2008-2012 data
Owner Costs Distribution
Monthly Owner Costs | 19538 Zip Code | % | Pennsylvania | U.S. |
$199 or Less | 0 | 0.00%, see rank | 3.98% | 7.99% |
$200 to $299 | 0 | 0.00%, see rank | 11.17% | 15.31% |
$300 to $499 | 0 | 0.00%, see rank | 37.66% | 35.02% |
$500 to $699 | 0 | 0.00%, see rank | 26.29% | 20.88% |
$700 or More | 14 | 100.00%, see rank | 20.90% | 20.80% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
19538 Zip Code | 10.00% of the Total Income |
Pennsylvania | 13.80% of the Total Income |
U.S. | 12.60% of the Total Income |
Owner Cost as a Percentage of the Total Income, Distribution
19538 Zip Code | % | Pennsylvania | U.S. | |
10% or Less | 14 | 100.00%, see rank | 34.15% | 39.10% |
10% to 20% | 0 | 0.00%, see rank | 33.66% | 31.88% |
20% to 30% | 0 | 0.00%, see rank | 14.57% | 12.59% |
30% to 40% | 0 | 0.00%, see rank | 6.72% | 5.84% |
40% or More | 0 | 0.00%, see rank | 9.96% | 9.41% |
* 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.