68510 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 68510 Zip Code | Nebraska | U.S. |
Occupied Units Paying Rent | 3,828, 100% | 230,162 | 39,201,928 |
$199 or Less | 41, 1.07%, see rank | 1.82% | 1.50% |
$200 to $299 | 112, 2.93%, see rank | 3.55% | 3.18% |
$300 to $499 | 934, 24.40%, see rank | 14.03% | 7.37% |
$500 to $699 | 1,312, 34.27%, see rank | 27.42% | 16.01% |
$700 to $999 | 811, 21.19%, see rank | 33.64% | 29.17% |
$1,000 to $1,499 | 332, 8.67%, see rank | 15.51% | 26.88% |
$1,500 to $1,999 | 56, 1.46%, see rank | 2.30% | 9.79% |
$2,000 or More | 230, 6.01%, see rank | 1.73% | 6.10% |
Median | $610, see rank | $721 | $920 |
ACS 2008-2012 data
Monthly Rental | 68510 Zip Code | Nebraska | U.S. |
Occupied Units Paying Rent | 3,762, 100% | 218,004 | 37,562,111 |
$199 or Less | 150, 3.99%, see rank | 2.39% | 1.76% |
$200 to $299 | 170, 4.52%, see rank | 3.97% | 3.29% |
$300 to $499 | 957, 25.44%, see rank | 16.07% | 8.20% |
$500 to $699 | 1,063, 28.26%, see rank | 29.58% | 17.39% |
$700 to $999 | 691, 18.37%, see rank | 31.66% | 29.40% |
$1,000 to $1,499 | 497, 13.21%, see rank | 13.25% | 25.73% |
$1,500 to $1,999 | 107, 2.84%, see rank | 1.73% | 8.92% |
$2,000 or More | 127, 3.38%, see rank | 1.35% | 5.30% |
Median | $598, see rank | $687 | $889 |
US Census 2000 data
Monthly Rental | 68510 Zip Code | Nebraska | U.S. |
Occupied Units Paying Rent | 4,042, 100% | 194,502 | 33,386,326 |
$199 or Less | 223, 5.52%, see rank | 6.43% | 5.52% |
$200 to $299 | 245, 6.06%, see rank | 8.64% | 5.45% |
$300 to $499 | 1,622, 40.13%, see rank | 36.90% | 23.18% |
$500 to $699 | 1,152, 28.50%, see rank | 31.03% | 29.57% |
$700 to $999 | 449, 11.11%, see rank | 12.89% | 24.06% |
$1,000 to $1,499 | 144, 3.56%, see rank | 3.02% | 9.15% |
$1,500 to $1,999 | 119, 2.94%, see rank | 0.71% | 2.05% |
$2,000 or More | 88, 2.18%, see rank | 0.36% | 1.02% |
Median | $494, see rank | $491 | $602 |
* 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.