68154 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 68154 Zip Code | Nebraska | U.S. |
Occupied Units Paying Rent | 4,109, 100% | 230,162 | 39,201,928 |
$199 or Less | 15, 0.37%, see rank | 1.82% | 1.50% |
$200 to $299 | 34, 0.83%, see rank | 3.55% | 3.18% |
$300 to $499 | 106, 2.58%, see rank | 14.03% | 7.37% |
$500 to $699 | 715, 17.40%, see rank | 27.42% | 16.01% |
$700 to $999 | 2,324, 56.56%, see rank | 33.64% | 29.17% |
$1,000 to $1,499 | 684, 16.65%, see rank | 15.51% | 26.88% |
$1,500 to $1,999 | 139, 3.38%, see rank | 2.30% | 9.79% |
$2,000 or More | 92, 2.24%, see rank | 1.73% | 6.10% |
Median | $817, see rank | $721 | $920 |
ACS 2008-2012 data
Monthly Rental | 68154 Zip Code | Nebraska | U.S. |
Occupied Units Paying Rent | 3,942, 100% | 218,004 | 37,562,111 |
$199 or Less | 26, 0.66%, see rank | 2.39% | 1.76% |
$200 to $299 | 9, 0.23%, see rank | 3.97% | 3.29% |
$300 to $499 | 86, 2.18%, see rank | 16.07% | 8.20% |
$500 to $699 | 717, 18.19%, see rank | 29.58% | 17.39% |
$700 to $999 | 2,264, 57.43%, see rank | 31.66% | 29.40% |
$1,000 to $1,499 | 683, 17.33%, see rank | 13.25% | 25.73% |
$1,500 to $1,999 | 88, 2.23%, see rank | 1.73% | 8.92% |
$2,000 or More | 69, 1.75%, see rank | 1.35% | 5.30% |
Median | $831, see rank | $687 | $889 |
US Census 2000 data
Monthly Rental | 68154 Zip Code | Nebraska | U.S. |
Occupied Units Paying Rent | 3,894, 100% | 194,502 | 33,386,326 |
$199 or Less | 18, 0.46%, see rank | 6.43% | 5.52% |
$200 to $299 | 34, 0.87%, see rank | 8.64% | 5.45% |
$300 to $499 | 617, 15.84%, see rank | 36.90% | 23.18% |
$500 to $699 | 1,620, 41.60%, see rank | 31.03% | 29.57% |
$700 to $999 | 1,170, 30.05%, see rank | 12.89% | 24.06% |
$1,000 to $1,499 | 291, 7.47%, see rank | 3.02% | 9.15% |
$1,500 to $1,999 | 59, 1.52%, see rank | 0.71% | 2.05% |
$2,000 or More | 85, 2.18%, see rank | 0.36% | 1.02% |
Median | $647, 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.