USA.com / Pennsylvania / Selinsgrove, PA / 17870 / Housing / Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
17870 Zip Code Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
ACS 2010-2014 data
Median Owner Costs, see rank
17870 Zip Code | 1,257 USD |
Pennsylvania | 1,443 USD |
U.S. | 1,522 USD |
Owner Costs Distribution
Monthly Owner Costs | 17870 Zip Code | % | Pennsylvania | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.14% | 0.20% |
$300 to $499 | 36 | 1.71%, see rank | 1.71% | 1.59% |
$500 to $699 | 267 | 12.67%, see rank | 5.59% | 5.01% |
$700 to $999 | 431 | 20.46%, see rank | 15.72% | 14.32% |
$1,000 to $1,499 | 604 | 28.67%, see rank | 30.12% | 27.90% |
$1,500 to $1,999 | 536 | 25.44%, see rank | 21.20% | 20.35% |
$2,000 to $2,999 | 152 | 7.21%, see rank | 18.03% | 19.52% |
$3,000 or More | 81 | 3.84%, see rank | 7.50% | 11.12% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
17870 Zip Code | 20.10% 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
17870 Zip Code | % | Pennsylvania | U.S. | |
10% or Less | 256 | 12.15%, see rank | 6.45% | 5.86% |
10% to 20% | 791 | 37.54%, see rank | 34.37% | 31.95% |
20% to 30% | 624 | 29.62%, see rank | 28.10% | 27.64% |
30% to 40% | 208 | 9.87%, see rank | 12.95% | 13.74% |
40% or More | 225 | 10.68%, see rank | 17.70% | 20.29% |
ACS 2008-2012 data
Median Owner Costs, see rank
17870 Zip Code | 1,265 USD |
Pennsylvania | 1,447 USD |
U.S. | 1,559 USD |
Owner Costs Distribution
Monthly Owner Costs | 17870 Zip Code | % | Pennsylvania | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.14% | 0.18% |
$300 to $499 | 27 | 1.28%, see rank | 1.68% | 1.59% |
$500 to $699 | 219 | 10.37%, see rank | 5.53% | 4.89% |
$700 to $999 | 383 | 18.13%, see rank | 15.69% | 13.71% |
$1,000 to $1,499 | 803 | 38.02%, see rank | 29.99% | 26.97% |
$1,500 to $1,999 | 478 | 22.63%, see rank | 20.84% | 20.33% |
$2,000 to $2,999 | 165 | 7.81%, see rank | 18.15% | 20.10% |
$3,000 or More | 37 | 1.75%, see rank | 7.98% | 12.24% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
17870 Zip Code | 19.90% 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
17870 Zip Code | % | Pennsylvania | U.S. | |
10% or Less | 153 | 7.24%, see rank | 5.62% | 5.04% |
10% to 20% | 910 | 43.09%, see rank | 32.47% | 29.70% |
20% to 30% | 549 | 25.99%, see rank | 29.21% | 28.18% |
30% to 40% | 254 | 12.03%, see rank | 14.02% | 14.80% |
40% or More | 246 | 11.65%, see rank | 18.29% | 21.80% |
US Census 2000 data
Median Owner Costs, see rank
17870 Zip Code | 907 USD |
Pennsylvania | 1,010 USD |
U.S. | 1,088 USD |
Owner Costs Distribution
Monthly Owner Costs | 17870 Zip Code | % | Pennsylvania | U.S. |
$299 or Less | 2 | 0.11%, see rank | 0.51% | 0.66% |
$300 to $499 | 121 | 6.36%, see rank | 6.05% | 5.56% |
$500 to $699 | 318 | 16.72%, see rank | 15.02% | 12.79% |
$700 to $999 | 693 | 36.44%, see rank | 27.69% | 24.86% |
$1,000 to $1,499 | 577 | 30.34%, see rank | 30.38% | 30.21% |
$1,500 to $1,999 | 137 | 7.20%, see rank | 12.26% | 14.37% |
$2,000 to $2,999 | 54 | 2.84%, 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
17870 Zip Code | 20.60% 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
17870 Zip Code | % | Pennsylvania | U.S. | |
10% or Less | 154 | 8.10%, see rank | 7.09% | 7.21% |
10% to 20% | 758 | 39.85%, see rank | 37.19% | 36.64% |
20% to 30% | 557 | 29.28%, see rank | 29.36% | 29.01% |
30% to 40% | 245 | 12.88%, see rank | 11.83% | 12.29% |
40% or More | 188 | 9.88%, 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.