68901 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 68901 Zip Code | Nebraska | U.S. |
Occupied Units Paying Rent | 3,097, 100% | 230,162 | 39,201,928 |
$199 or Less | 44, 1.42%, see rank | 1.82% | 1.50% |
$200 to $299 | 185, 5.97%, see rank | 3.55% | 3.18% |
$300 to $499 | 476, 15.37%, see rank | 14.03% | 7.37% |
$500 to $699 | 1,253, 40.46%, see rank | 27.42% | 16.01% |
$700 to $999 | 846, 27.32%, see rank | 33.64% | 29.17% |
$1,000 to $1,499 | 250, 8.07%, see rank | 15.51% | 26.88% |
$1,500 to $1,999 | 17, 0.55%, see rank | 2.30% | 9.79% |
$2,000 or More | 26, 0.84%, see rank | 1.73% | 6.10% |
Median | $627, see rank | $721 | $920 |
ACS 2008-2012 data
Monthly Rental | 68901 Zip Code | Nebraska | U.S. |
Occupied Units Paying Rent | 3,361, 100% | 218,004 | 37,562,111 |
$199 or Less | 26, 0.77%, see rank | 2.39% | 1.76% |
$200 to $299 | 155, 4.61%, see rank | 3.97% | 3.29% |
$300 to $499 | 722, 21.48%, see rank | 16.07% | 8.20% |
$500 to $699 | 1,304, 38.80%, see rank | 29.58% | 17.39% |
$700 to $999 | 937, 27.88%, see rank | 31.66% | 29.40% |
$1,000 to $1,499 | 186, 5.53%, see rank | 13.25% | 25.73% |
$1,500 to $1,999 | 9, 0.27%, see rank | 1.73% | 8.92% |
$2,000 or More | 22, 0.65%, see rank | 1.35% | 5.30% |
Median | $615, see rank | $687 | $889 |
US Census 2000 data
Monthly Rental | 68901 Zip Code | Nebraska | U.S. |
Occupied Units Paying Rent | 3,476, 100% | 194,502 | 33,386,326 |
$199 or Less | 222, 6.39%, see rank | 6.43% | 5.52% |
$200 to $299 | 432, 12.43%, see rank | 8.64% | 5.45% |
$300 to $499 | 1,585, 45.60%, see rank | 36.90% | 23.18% |
$500 to $699 | 1,002, 28.83%, see rank | 31.03% | 29.57% |
$700 to $999 | 183, 5.26%, see rank | 12.89% | 24.06% |
$1,000 to $1,499 | 41, 1.18%, see rank | 3.02% | 9.15% |
$1,500 to $1,999 | 5, 0.14%, see rank | 0.71% | 2.05% |
$2,000 or More | 6, 0.17%, see rank | 0.36% | 1.02% |
Median | $447, 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.